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Help protect the data of millions of UK citizens \n DWP delivers services that millions of people rely on every day. Behind those services sits one of the UK's largest repositories of personal and financial data. \n We're looking for a Lead Security Data Scientist to lead a specialist team using data science, machine learning, AI and advanced analytics to detect threats, uncover malicious activity and str... \n \n ZIPC1_UKTJ

Your new companyThis Design Technology Technician job is based at a secondary school in South Yorkshire. The school has a dedicated workforce that focusses on the educational outcomes of all students and aims to create a learning community that is both supportive and safe in an environment of mutual respect.Your new roleThis school is currently looking for a full-time DT Technician to start as soon as possible. Your time in this role will include: \n\n • Support in preparing for practical lessons\n, • Maintain equipment\n, • Ensure a safe working environment for both staff and pupils\n, • Manage resources, including ordering, issuing and distributing stock\n, • Maintain and repair materials and equipment as required\n\n What you'll need to succeedThe ideal candidate would have: \n\n • Ability to multitask\n, • Secondary Materials Health and Safety (essential)\n, • Inventory management\n, • Safe Use of Wood sawing Machines S1HS (essential)\n, • Safe Use of Planer/Thicknesser Machine S8HS (essential)\n, • Passion for woodwork\n\n We will need to be able to obtain references to cover the last 2 years as a minimum, and you will need to be willing to undergo an Enhanced DBS check if you don't already have a DBS on the update service.What you'll get in returnAs well as receiving a competitive rate of pay, this is an excellent opportunity to gain experience in an outstanding school. When you register with Hays, you will be allocated a dedicated consultant who will be on hand to offer career advice and guide you through the registration process. Once you have completed this particular assignment, we will then be in a position to place you in further schools. By registering with Hays Education, you will also be eligible for our Refer a Friend Scheme, where you could receive £250 in vouchers. T&Cs apply.What you need to do nowIf you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. \n Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. \n If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. \n We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. \n Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. \n Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. \n Current average salaries in the sector for lower-level positions and fully trained Data Experts: \n\n • Junior Data Analyst - £30,000\n, • Data Analyst - £50,000\n, • Business Analysts - £60,000\n, • Data Scientist - £65,000\n\n Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. \n Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. \n Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. \n Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. \n Step 1 - Data Administration Training \n Data is extracted using various method which are normally IT driven. \n We provide you with access to the following courses to ensure you are employable as a data analyst. \n\n • Microsoft excel - to expert level.\n, • Learn SQL - the programming language used for extracting data from more complex databases.\n, • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.\n, • Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.\n\n Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. \n Step 2 - CompTIA Data+ Qualification \n The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. \n This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. \n Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. \n The course is online and comes complete with exam simulators and revision tools. \n You will have access to a tutor and a 1-hour online revision workshop prior to your exam. \n This qualification sets you on course to becoming a data analyst. \n Step 3 - Business Analysis Foundation \n Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. \n A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. \n Study time is around 15 hours, and qualification is achieved by online exam. \n Step 4 - Recruitment Support \n Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. \n We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. \n Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. \n They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. \n Step 5 - CompTIA Data X Qualification \n Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. \n This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. \n Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. \n Our money back guarantee \n If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. \n However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. \n Check out our testimonials. \n What Now? \n To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. \n Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Your new company This Design Technology Technician job is based at a secondary school in South Yorkshire. The school has a dedicated workforce that focusses on the educational outcomes of all students and aims to create a learning community that is both supportive and safe in an environment of mutual respect. Your new role This school is currently looking for a full-time DT Technician to start as soon as possible. Your time in this role will include: Support in preparing for practical lessons Maintain equipment Ensure a safe working environment for both staff and pupils Manage resources, including ordering, issuing and distributing stock Maintain and repair materials and equipment as requiredWhat you'll need to succeed The ideal candidate would have: Ability to multitask Secondary Materials Health and Safety (essential) Inventory management Safe Use of Wood sawing Machines S1HS (essential) Safe Use of Planer/Thicknesser Machine S8HS (essential) Passion for woodwork We will need to be able to obtain references to cover the last 2 years as a minimum, and you will need to be willing to undergo an Enhanced DBS check if you don't already have a DBS on the update service. What you'll get in return As well as receiving a competitive rate of pay, this is an excellent opportunity to gain experience in an outstanding school. When you register with Hays, you will be allocated a dedicated consultant who will be on hand to offer career advice and guide you through the registration process. Once you have completed this particular assignment, we will then be in a position to place you in further schools. By registering with Hays Education, you will also be eligible for our Refer a Friend Scheme, where you could receive £250 in vouchers. T&Cs apply. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

The Opportunity The Chief Technology Office (CTO) is responsible for shaping and delivering the technology strategy, architecture, platforms, and infrastructure that support the global operations. The function plays a central role in driving technology transformation, operational resilience, and continuous improvement across the bank's technology landscape. As part of the CTO organisation, the Data team works closely with technology, operations, and business stakeholders to understand current processes, identify opportunities for improvement, skills gaps, and support the successful delivery of strategic workforce initiatives. The team provides critical analysis and reporting capabilities that help ensure the global workforce are aligned to business objectives and delivered effectively. This is an excellent opportunity to join a high-profile function and contribute to initiatives that enhance the efficiency, scalability, and effectiveness of the global workforce. The Opportunity Core Focus: Algorithm Design, Machine Learning/NLP, Statistical Rigor About the Role Once our 6 core datasets are unified, you will hold the keys to the mathematical engine. We are seeking an algorithmic Data Scientist to design and deploy a proprietary Skills Matching Index. Your goal is to build the recommendation models that match at-risk or unallocated employees with live vacancies and long-term skills gaps across the global bank. By factoring in building costs and geographic parameters, your algorithm will mathematically optimize where talent is deployed to minimize operational overhead while preserving top performers. Key Responsibilities Algorithm C Index Design: Develop and tune semantic matching algorithms, recommendation engines, or Natural Language Processing (NLP) models to map employee skills profiles against text-heavy job descriptions and vacancies. Workforce Optimization Modeling: Build predictive optimization models that evaluate employee skills alongside geographic data and building costs to calculate the most cost-effective location strategy. Upholding Statistical Truth: Champion mathematical rigor across the project. Ensure models accurately handle data imbalances, control for historical bias in performance reviews, and avoid false positives in skills matching. Collaborative AI Deployment: Work alongside the Data Analyst to feedback model metrics, track algorithmic prediction drift, and safely surface model confidence scores to executive decision-makers. Required Technical Skills Experience: 2–4 years of experience as a Data Scientist, Machine Learning Engineer, or Quantitative Analyst. Exposure to recommendation algorithms, NLP, or People Analytics is a major plus. Python Mastery: Fluent in Python and specialized machine learning libraries (scikit-learn, SciPy, statsmodels). Experience with NLP frameworks (spaCy, HuggingFace, or text embeddings) is highly valued. Statistical Rigor: Solid foundation in applied statistics, including clustering, predictive modeling, regression, and algorithmic fairness evaluations. Exploratory Data Storytelling: Ability to visually explain algorithm performance (using Plotly, Seaborn, etc.) and present model logic transparently to senior management

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Design Technology Technician – Secondary School Location: Sheffield Contract: Full-time, Temporary Start Date: ASAP Duration: Ongoing cover Salary: £100–£130 per day (dependent on experience) PK Education are working with a secondary school in Sheffield who are looking to appoint an experienced Design Technology Technician to provide ongoing cover within their DT department. This is a fantastic opportunity for a skilled workshop technician who enjoys supporting practical learning and maintaining a safe, organised working environment. You'll play a vital role in preparing materials and equipment, ensuring lessons run smoothly and students have everything they need to complete practical projects. The school are looking for somebody who is confident working within a busy workshop environment and has experience preparing timber, cutting stock, maintaining equipment, and supporting teachers across the Design Technology department. The Role Preparing materials and resources for practical DT lessons Cutting timber and stock ready for student projects Maintaining workshop equipment and ensuring tools are safe for use Supporting teachers with lesson preparation and practical activities Managing stock levels and ordering materials where required Ensuring the workshop complies with health and safety regulations Essential Requirements Experience working as a Design Technology Technician or within a similar workshop environment Secondary Materials Health & Safety (SMHS) Safe Use of Woodsawing Machines (S1HS) Essential Health & Safety for D&T Workshop Technicians Desirable Qualifications Safe Use of Planer/Thicknesser Machine (S8HS) What We're Looking For Strong knowledge of workshop health and safety Experience preparing practical resources for secondary education Excellent organisational skills and attention to detail Reliable, proactive, and able to work independently A commitment to maintaining a safe and efficient learning environment This is an excellent opportunity to join a supportive secondary school and become an integral part of a busy Design Technology department. Apply now or get in touch with PK Education to find out more

Job Title: Data Scientist – Talent Matching C Optimization Algorithms Location: Sheffield / Birmingham (3 days per week in the office) Overview one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. The Opportunity The Chief Technology Office (CTO) is responsible for shaping and delivering the technology strategy, architecture, platforms, and infrastructure that support the global operations. The function plays a central role in driving technology transformation, operational resilience, and continuous improvement across the bank's technology landscape. As part of the CTO organisation, the Data team works closely with technology, operations, and business stakeholders to understand current processes, identify opportunities for improvement, skills gaps, and support the successful delivery of strategic workforce initiatives. The team provides critical analysis and reporting capabilities that help ensure the global workforce are aligned to business objectives and delivered effectively. This is an excellent opportunity to join a high-profile function and contribute to initiatives that enhance the efficiency, scalability, and effectiveness of the global workforce. The Opportunity Core Focus: Algorithm Design, Machine Learning/NLP, Statistical Rigor About the Role Once our 6 core datasets are unified, you will hold the keys to the mathematical engine. We are seeking an algorithmic Data Scientist to design and deploy a proprietary Skills Matching Index. Your goal is to build the recommendation models that match at-risk or unallocated employees with live vacancies and long-term skills gaps across the global bank. By factoring in building costs and geographic parameters, your algorithm will mathematically optimize where talent is deployed to minimize operational overhead while preserving top performers. Key Responsibilities Algorithm C Index Design: Develop and tune semantic matching algorithms, recommendation engines, or Natural Language Processing (NLP) models to map employee skills profiles against text-heavy job descriptions and vacancies. Workforce Optimization Modeling: Build predictive optimization models that evaluate employee skills alongside geographic data and building costs to calculate the most cost-effective location strategy. Upholding Statistical Truth: Champion mathematical rigor across the project. Ensure models accurately handle data imbalances, control for historical bias in performance reviews, and avoid false positives in skills matching. Collaborative AI Deployment: Work alongside the Data Analyst to feedback model metrics, track algorithmic prediction drift, and safely surface model confidence scores to executive decision-makers. Required Technical Skills Experience: 2–4 years of experience as a Data Scientist, Machine Learning Engineer, or Quantitative Analyst. Exposure to recommendation algorithms, NLP, or People Analytics is a major plus. Python Mastery: Fluent in Python and specialized machine learning libraries (scikit-learn, SciPy, statsmodels). Experience with NLP frameworks (spaCy, HuggingFace, or text embeddings) is highly valued. Statistical Rigor: Solid foundation in applied statistics, including clustering, predictive modeling, regression, and algorithmic fairness evaluations. Exploratory Data Storytelling: Ability to visually explain algorithm performance (using Plotly, Seaborn, etc.) and present model logic transparently to senior management

AI Engineer Placement Programme no experience neededFrom £45,000 to £75,000 per annumAI Trainee Engineer £45,000£75,000 Job ProgrammeThis is a self-funded programme that leads to employment, fees apply.Job Guarantee Complete the programme and get a job, or get your course fees back.Location: UK Wide (Remote Opportunities Available)Looking to start a career in AI Engineering?We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK.No prior experience required.Train online at your own pace and become job-ready in as little as afew weeks.Our programme includes:Official AWS Certified Cloud Practitioner certificationTraining in Python, Machine Learning, and AI systemsHands-on projects using real-world AI tools and technologiesProfessional CV and LinkedIn supportInterview preparationDedicated recruitment support until placedPersonalised 1-1 tutor supportHands-on projects to build your AI portfolioFlexible, affordable, achievableTo make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure.Salary expectations:AI Engineer: £45,000 £60,000Machine Learning Engineer: £60,000 £75,000Progression into senior AI roles with higher earning potentialWe support you into employmentWe focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles.From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role.Important:Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request.Apply now to get started.TPBN1_UKTJ

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational STEM problems that simulate real scientific workflows., • Create problems that require Python programming to solve., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches., • Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn)., • Document problem statements clearly and provide verified correct answers. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field., • You have at least 5 years of Machine Learning experience with proven business impact., • Strong programming skills in Python (numpy, pandas, scipy, sklearn)., • Solid understanding of numerical methods and computational algorithms., • Research or industry experience involving computational problem-solving., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

Role: AI Engineer Experience: 8-10years Location: London Contract duration: 12 months Job Description: Proven experience as an AI, Machine Learning, or Privacy Engineer. • Proficiency in programming languages such as Python is added advantage., • Experience with deep learning frameworks like TensorFlow, PyTorch, or JAX., • Experience working with multi-cloud technologies. GCP is mandatory., • Excellent analytical and communication skills, with the ability to explain complex technical and privacy concepts to non-technical stakeholders, • Experience with adversarial testing and robustness evaluation of AI models., • Experience in the end-to-end development of AI/ML models and applications., • Ability to lead and train the team on model training

AI Engineer - £60,000 - Remote My client, a Microsoft partner, is looking for a AI/ ML Engineer to join their rapidly growing Data and AI team. This is a remote position as the client values work life balance and flexibility. In this role you will utilise the latest AI technologies including Machine Learning, Gen AI and Open AI whilst working on various different projects. You will collaborate with clients to understand their business needs and provide them with AI based solutions. Requirements: -Experience in Data Science, Machine Learning and AI tech -Azure cloud technology experience -Strong Python Benefits: -Competitive salary -Remote working -25 days annual leave and bank holidays -10% bonus -And more Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Contact me:

Are you a highly skilled Senior Backend Engineer with a passion for Data and Machine Learning, ready to make a global impact? Join Spotify's Commerce Platform to build the next generation of our robust, high-performing, and resilient payments ecosystem. This is a unique opportunity to solve complex challenges, work with ML-powered systems, and contribute to the core of Spotify's revenue-generating systems. As part of Spotify's Commerce Platform, we in the Pay-In domain own the critical backend services and extensive datasets that power the users’ payment journey. You will join one of the sub-teams in the Pay-In domain, which develops and maintains the systems that integrate with payment providers, manage disputes, and leverage ML for fraud detection and prevention. The reliability of these systems is business-critical for Spotify. • Architect, design, and implement highly scalable backend services (Java/Python) and robust data pipelines that power Spotify’s internal Commerce platform., • Develop and enhance our ML-powered systems taking solutions from concept to production., • Take the lead on API design, platform development, and ensuring the scalability, reliability, and performance of our services., • Collaborate with a talented, cross-functional team of engineers, product managers, and data scientists to deliver impactful solutions., • Mentor other engineers and foster a culture of continuous learning and technical excellence within the team., • You have significant experience building and scaling backend services (Java and/or Python) in a large-scale, cloud-native environment like Google Cloud Platform., • You have hands-on experience with Machine Learning, including developing, deploying, or maintaining ML models in a production environment., • You have proven experience building and maintaining data pipelines to support ML and analytics use cases., • You possess practical knowledge of scalable database technologies, such as PostgreSQL., • You are a proactive, self-driven engineer with excellent problem-solving skills and a pragmatic approach to tackling challenges., • You are an exceptional communicator and collaborator, comfortable leading technical discussions and working effectively with diverse teams., • Previous experience in e-commerce, financial engineering, or high-volume transaction processing is a plus., • This role is based in London., • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Job Title: Data Engineer Location: UK Job Type: Full-time Scrumconnect is a leading force in technology consultancy, proudly contributing to over 20% of the UK’s most significant citizen-facing public services. Our award-winning team has made a substantial impact, delivering more than 64 services in the past two years alone. This work has not only reached over 50 million citizens but also achieved considerable savings for the taxpayer, amounting to over £25 million. At Scrumconnect, we foster a community of talented consultants who thrive on collaboration, sharing knowledge, and continuous learning to address and solve complex challenges. Our mission is to combine advanced software engineering, human-focused design, and data-driven insights to deliver unparalleled service to our clients. We are looking to fill the position of Data Engineer to help develop and maintain data products. Data Engineering teams are responsible for the delivery and operational stability of the data products built and provide ongoing support for those products. Data Engineers work within, and contribute to, the overall data development lifecycle process as part of multi-functional Agile delivery teams focused on one or more products. Role: Design, build, and operate simple, repeatable ETL data pipelines within distributed processing environments and cloud platforms, as well as localized single-node processing environments. Develop and produce prototyped then productionized code that can be deployed across a range of ETL, data validation, and other data production processes. Develop understanding of the native tooling of one or more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans, operational outputs. Participate in development and maintenance of in-house code libraries. Undertake unit testing to support common code development. Review business requirements to ensure they are clear and robust, and transform requirements into reusable production-ready code and/or effective data models. Understand the key principles of database design and be able to resolve technical problems in databases, data processes, data products, and services as they occur. Initiate actions, monitor services, and identify trends to resolve problems. Apply correct techniques in normalizing data and building robust relational structures in database products. Undertake basic data analysis, for example, for data profiling, QA, or problem resolution. Support queries from end users on data quality issues affecting data production; communicate issues and blockers to develop solutions. Undertake source system analysis and data profiling to confirm data quality and ensure accurate metadata. Understand relevant data sources, tools, and systems. Work with experts to develop validation frameworks for both simple and complex data sources. Communicate with customers, for example, to update on progress or confirm requirements. Using a working knowledge of cloud data engineering tools in assisting with the development of data pipelines, products, and automation processes. Work with other team members in development of tool performance logging and monitoring. Work with other team members in applying engineering team and community best practice in data products and pipelines. Experience predicting and advising on technology changes in the engineering toolset(s) and platform(s) you work on. Work with the team in implementing the transition to modern data platforms including Data Warehouse, Lakehouse, across the data products, pipelines, and processes you are responsible for. Engage with other professional communities (Data Science, Architecture, etc.) to identify emerging and cross-community issues affecting your role and escalate as necessary. Describe technical, data, pipeline, and production issues to colleagues of different specialisms. Communicate within the team and across teams to monitor expectations around delivery of data engineering, products, and pipelines, blockers, priorities, and issues. Escalate issues and blockers in delivery proactively. Familiar with developing data pipelines and products for very large volume 'big data' series using a range of native engineering tools and practices and coding approaches. A working knowledge of engineering standards across a platform and native toolset. Experience implementing these standards in the day-to-day role and keeping outputs up-to-date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL. Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI. Enterprise-scale experience with ETL tools (Informatica and or similar). Experience of data modelling and transforming raw data into datasets and extracts. Experience of working in a large project /scale complex organisation and knowledge of migrating legacy capabilities. Experience in Agile. Ability to analyse and collect information and evidence, identify problems and opportunities, and ensure recommendations fit with strategic business objectives. Experience of building team capability through role modelling, mentoring, and coaching. Ability to manage relationships with non-technical colleagues and can work in a collaborative, inclusive way. Ability to design, write, and operate ETL pipelines, in the context of distributed processing, applying coding, data, and documentation standards, in the language required by the business area. Understanding of the principles of data processing in a distributed and or cloud platform, and ability to use this understanding to ensure robust coding in a distributed or cloud environment. Able to write clean, efficient and well documented code for data processing tasks to a specification. Able to use Git for code version control to pull and push and review merge requests for team and own code. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Experience of one or more programming/coding languages listed: Python/PySpark, SQL, Proc SQL, NoSQL, MySQL, SQLite, Spark SQL, Hive SQL, PostgreSQL, SAS, SAS E-guide, Scala, RegEx, Java, R Investigate problems in systems, processes and services, with an understanding of the level of a problem, for example, strategic, tactical or operational. Undertake data profiling and source system analysis for data evaluation, issue resolution or data standardisation. Use metadata repositories to complete complex tasks such as data and systems integration impact analysis. Good knowledge of database structures, practices, principles of database integrity etc. Basic knowledge of applying database principles and SQL coding across a range of platform database and data querying tools (i.e. SQL Server, Cloud SQL, Big Query, Hive, Athena etc.) Show an awareness of opportunities for innovation with new tools and uses of data. Experience in more than one of the following tools is required for Engineers engaging in BI development: Plotly, R Shiny, Tableau, QlikView/Qlik sense, Power BI, SAP, Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical language. Explain the types of communication that can be used with internal and external stakeholders, and their impact. Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both. Able to explain and implement the concepts and principles of data modelling. Ability to create and run simple unit tests. Desired Qualifications Certifications in AWS, Azure, Databricks, or related technologies. Example _ Experience with public sector data initiatives and compliance requirements. Knowledge of machine learning and artificial intelligence concepts. Your working time at Scrumconnect will be split between multiple locations, including from our HQ and hub locations, client site or home. Travel requirements vary in frequency and take into account requirements of your work, our clients and the team. We welcome candidates from all identities, attributes and backgrounds to thrive with us. The diversity of our people should be reflected in the impact we deliver. Join us at Scrumconnect, where your highly demonstrable skills and expertise will drive the future of user-centred design in public services.

We are seeking a Senior Research Engineer to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles: Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections. For more information, see this press release! _ • Close Collaboration: Work side-by-side with research scientists to conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing., • Improve model training pipelines. You’ll debug distributed training, optimize data loading at massive scale, and ensure smooth scaling across compute environments., • Optimize performance. You’ll profile and accelerate existing training and inference code to make experiments faster and production systems more responsive., • Integrate models into production environments. You’ll work directly with platform and product teams to deploy models into the hands of hundreds of millions of Spotify’s users., • Incorporate state-of-the-art research. You'll translate models and techniques described in the literature into robust, well-engineered prototypes., • Maintain a high-quality codebase. You’ll enforce clear structure, consistency, and testing practices to support long-term maintainability on a codebase shared between members of a fast-paced globally distributed team., • Enhance researcher experience. You’ll build internal tooling, libraries, and workflows to make experimentation, debugging, and deployment more efficient for the whole team., • You have experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks., • You have experience working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure., • You understand how to debug problems in machine learning training code., • You communicate effectively with global teams and are ready to work both face-to-face and asynchronously with collaborators on multiple continents., • You have experience optimizing code for performance and can make GPUs “go brrr” (train at maximum efficiency)., • You learn new concepts and technologies quickly and keep up to date with the rapid pace of development in machine learning and AI., • You are resourceful and proactive; when faced with blockers, you seek out solutions through research, experimentation, and collaboration., • You’re not afraid to dig deep into the stack: working with lldb, NVIDIA Nsight, or other low-level debugging tools is a plus., • You have a solid grasp of computer science concepts like type systems, compilers, parallelism, thread safety, encapsulation, and the like., • You have an interest in learning more about audio processing and music information retrieval and you're excited about building amazing products that use these technologies., • We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have_, • This team operates within the Central European and GMT time zone for collaboration., • Core working hours are CET 3pm-6pm / EST 9am-12pm.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

Comet is building the development platform for teams who want to ship robust, reliable, and responsible AI applications. Opik, our open source LLM evaluation framework, has quickly become one of the most popular tools in the space. Our experiment management platform is used by data scientists at companies like Uber, Netflix, and Etsy. Tens of thousands of researchers, engineers, academics, and hobbyists use Comet every day to build the future of AI. Working at Comet will give you access to the most exciting work being done in all areas of machine learning. Some of the top researchers and companies working on self-driving cars, drug discovery, particle research, diffusion models, and LLMs use Comet every day. Your work has the potential to accelerate the development of some of the most impactful technology in the world, and you will be doing it alongside a team of passionate, caring individuals. If that sounds exciting, Comet is the right place for you. Comet is backed by more than $63 million in venture capital funding and powers some of the best machine-learning teams in the world, including Netflix, Uber, Etsy, and Mobileye. We are a remote-first company with offices in New York City (USA) and Tel Aviv (Israel). You are: We are looking for a product builder with strong execution instincts and a deep understanding of developers. You care about shipping fast, learning from real users, and improving the product continuously, not just writing specs. You think like a founder, are comfortable getting technical (including writing code when it helps you move faster), and thrive in open feedback loops with our community of builders. You partner tightly with engineering and design, contribute clarity and conviction to decision-making, and are energized by working on products that are deeply technical and meaningful to the future of AI. Responsibilities: • Own and ship high-impact features within the Opik product, end to end from definition to launch, • Bring clarity to ambiguous problems and make fast, pragmatic product decisions, • Engage directly with developers and early users to gather feedback and rapidly iterate, • Work closely with engineering and design to drive execution with urgency and clarity, • Monitor adoption and performance of shipped features and use learnings to improve quickly, • Share updates and priorities with the open-source community and internal stakeholders, • 3+ years of Product Management experience, delivering highly successful and innovative products that you're deeply proud of, • Must have design and UX sensibilities, • Must have proven experience building developer tools, • Experience shipping high-quality products from planning to launch to maintenance, • Ability to collaborate with engineers on technical architecture and product implementation, • Ability to communicate product value and opportunities across engineering, marketing, sales, individual users, and enterprise customers, • Proficiency using AI tools Bonus: • Experience training machine learning models or building MLOps / LLMOps tooling, • Experience as a growth PM in the developer tooling space What We Offer: • Competitive base salary - based on proven experience, skills and location., • Competitive benefits package., • Flexible working hours and remote/Hybrid work options., • Opportunities for professional growth and development., • A collaborative and innovative work environment., • The chance to work with cutting-edge technologies and projects., • This role will be located in Europe or Israel working with a global team (large presence in the US, Tel Aviv and Europe), some flexibility with work hours is required. Comet is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees without regard to race, religion, color, sex, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, uniform service member status, marital status, pregnancy, age, medical condition, physical or mental disability, genetic information/characteristics, and any other characteristic protected by State or Federal law.

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences. You will lead the product development lifecycle for AI-driven features, working closely with engineers, designers, and data scientists to develop, launch, and scale AI-driven solutions. Your role is pivotal in ensuring that AI technologies align with user needs and business objectives. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Define and drive the AI product roadmap, ensuring alignment with business objectives and user needs. Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features. Conduct market research and analyze user feedback to identify opportunities for AI integration. Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact. Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights. Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive. Ensure ethical AI usage and compliance with data privacy regulations. Around 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications. Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems. Experience working with data science and engineering teams to develop AI-based features. Ability to translate complex AI concepts into user-friendly applications. Strong analytical skills and experience leveraging data to drive product decisions. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Develop, train, and optimize machine learning models for various mobile app features. Research and implement state-of-the-art AI techniques to improve user engagement and app performance. Collaborate with cross-functional teams to integrate AI-driven solutions into our applications. Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. Analyze large datasets to derive insights and drive data-driven decision-making. Stay updated with the latest AI trends and best practices, incorporating them into our development processes. Optimize AI models for mobile environments to ensure high performance and low latency. Around 4+ years of experience in AI/ML development, preferably in mobile applications. Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Experience with deep learning, NLP, computer vision, and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices. Experience in deploying and maintaining ML models in production. Ability to work collaboratively in a remote team environment. Strong problem-solving skills and a passion for innovation. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

A1 is building a proactive AI chat app for everyday users to bring intelligence to conversations, errands, organising and workflows. Unlike traditional chat-based applications, our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. As Technical Lead, Machine Learning, you own the execution layer of A1’s intelligence. You translate research direction into reliable, scalable, production-grade ML systems. This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real-world constraints. Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment. Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation. Architect and operate scalable inference systems, balancing latency, cost, and reliability. Design and maintain data systems for high-quality synthetic and real-world training data. Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership. Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies. Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products. Make pragmatic trade-offs and ship improvements quickly, learning from real usage. Work under real production constraints: latency, cost, reliability, and safety Research and models reliably translate into production-ready solutions with clear performance and quality targets. ML pipelines, training loops, and inference systems are stable, efficient, and maintainable. Production issues are detected, debugged, and resolved quickly, minimizing user impact. Team members are supported, aligned, and able to deliver high-impact ML work with minimal friction. Iterations on models and systems are measurable, safe, and improve user experience over time. Python PyTorch / JAX GPU-based training and inference system You have built or shipped real ML systems used by people, not just demos. You are comfortable working with large models and understanding their failure modes. You write strong, production-grade code and care about system correctness. You are self-directed, pragmatic, and take full ownership of outcomes. You communicate clearly and collaborate well in small, high-trust teams. The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

Kitman Labs is a global human performance company, disrupting and transforming the way the sports industry uses data to increase the performance of the world's top athletes. Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry’s top data scientists, sports performance scientists, product specialists and engineers. The company received recognition by Fast Company in 2019 as one of the most innovative companies in the world. Kitman Labs’ advanced Outcome-driven Analytics and Performance Intelligence Platform are used by over 700 teams in 50 leagues on 6 continents spanning soccer, rugby, American football, baseball and ice hockey. The Role Senior Backend Engineers are responsible for building the core data-flows of Kitman Labs products. They do this with a focus on security, privacy, robustness and performance. The backend engineering team builds APIs and data processing pipelines that handle massive amounts of data from sports teams all over the globe. In conjunction with our Data Science team they build and maintain data models which embody the cutting edge of injury risk prevention technology. We’re looking for people with a strong background or interest in building successful products. You’ll be happy dealing with systems that involve many moving pieces. New technologies or approaches to solving problems don’t bother you. You are detail oriented but also pragmatic and considered in where you spend time and effort. \n We will expect you to • Design, build, and maintain APIs, services and data-stores., • Possess a deep understanding of what it takes to maintain high standards of software quality, including effective QA processes, writing high-quality code, following best practices, and adhering to established industry standards. Ensure cross team collaboration by working with our frontend engineers to build features that users love to use., • Work with our product team to reliably spec out and refine user stories, enabling them to be broken down and quickly delivered to production., • Confidently debug complex production issues across services and multiple levels of the stack., • Be focussed and able to prioritise tasks and not get distracted by unimportant details., • Set direction from a technical architecture point of view on projects and make, • pragmatic decisions if projects need to be redirected or scaled back. Experience and skills we look for • Experience building APIs or as part of a team building dynamic web applications., • Have shown an ability to take on new technologies and languages., • We work mostly in Ruby but this isn’t a prerequisite, we’re more interested in your ability to learn., • Hold yourself and others to a high bar., • Take pride in working on projects through to a successful completion., • Recognise the value of standardised, fully tested code that is delivered in a CI/CD environment. Additional skills that would be beneficial • We heavily utilise Amazon Web Services so experience with AWS or similar is a bonus., • Experience working with AI tools., • Knowledge of machine learning models. \n Benefits At Kitman Labs we pride ourselves on being the best and working with the best, so it should be no surprise that we are also dedicated to keeping the best through building a world-class work culture. We truly believe that a successful company begins through having an outstanding and inspiring culture, so our benefits reflect this: • Competitive salary, • Health insurance for employee & dependants, • Meaningful equity, • Pension Plan, • Life Cover, • Income protection, • Wellbeing benefits Location While this role allows for remote work, occasional face-to-face-gatherings are recommended. Diversity In addition to building a team with diverse skill-sets, Kitman Labs is committed to hiring people with diverse backgrounds. We do not discriminate based on age, civil or family status, disability, ethnicity, gender, race, religion, or sexual orientation. If you are a person with a disability and require assistance during the application process, please let us know. You can find information about how we process, share and keep your personal data safe by reading our _

We’re looking for a passionate and capable Animation Programmer to join our team and help shape the future of immersive VR experiences. You’ll contribute to the development and refinement of animation systems that bring our characters and worlds to life. This is a great opportunity to work on cutting-edge projects in a collaborative and forward-thinking environment, where your work will directly impact the feel and fidelity of our games. In this role, you’ll support the design, implementation, and maintenance of animation systems and tools in collaboration with animators and gameplay programmers. You’ll work closely with the design and art teams to ensure animations are responsive, and fluid while learning and contributing to innovations in procedural animation, IK systems, and runtime rigging. The rundown: • 12-month fixed term contract, • Full time (37.5 hours per week), • Fully remote within the UK, • Salary is competitive and dependent on experience Key responsibilities: • Assist in developing and maintaining core animation systems for VR gameplay, • Collaborate with cross-disciplinary teams to integrate animations seamlessly, • Prototype and iterate on animation features and technologies, • Debug and resolve animation-related issues, • Contribute to animation tech documentation and planning, • Ensure code quality and maintainability, • Work with QA and production to meet quality and timeline expectations, • Stay up to date with new tools and techniques to improve animation workflows The skills you’ll need: • Solid C++ programming skills and experience with animation systems in game engines, • Understanding of animation principles and real-time implementation, • Experience with Unreal Engine (especially Animation Blueprints and Control Rig), • Awareness of VR development and performance considerations, • Strong problem-solving and communication skills The nice to haves: • Exposure to procedural or physics-based animation systems, • Interest in motion matching or machine learning in animation, • Experience contributing to a shipped commercial game, • Familiarity with animation middleware (e.g., Havok, HumanIK) We are nDreams – we develop and publish the world’s most immersive VR games. You may know us as the developer behind Synapse, Phantom: Covert Ops, Fracked, and Frenzies. As a publisher, we have also supported the release of other studio’s titles including Little Cities, PowerWash Simulator VR, and Vendetta Forever. With humble beginnings as an independent studio, we combine amazing projects with a personal, caring touch. We’ve got more incredible titles to be announced soon! We believe the best workplaces and games are created by diverse, happy and safe teams. We're committed to building a culture centred on respect, wellbeing and balance. It's crucial we make our games and industry more accessible to underrepresented communities. We strive to live this through the people we hire, the experiences we create and the causes we support. We want everyone to have the opportunity to bring their best, authentic self to work. Please let us know if you require reasonable adjustments during the interview process by emailing or speaking to your nDreams recruiter. For more information about reasonable adjustments, check out this We offer great perks, including flexible hours, duvets days, your birthday off, dedicated personal development time and support, as well as regular socials. Beyond this, there’s an excellent holiday offering, pension scheme, health insurance, life cover and much more.

Coach – Applied AI Engineering (Level 6) | Machine Learning Remote | National travel required Corndel is a multi award‑winning UK training provider delivering high‑quality management and technology programmes with leading organisations. We’re growing fast and are passionate about transformational learning that empowers people to be their professional best. The Role We’re looking for an Applied AI Engineering Coach (Level 6) to support apprentices on our AI Engineer / Machine Learning apprenticeship programme. This role suits an experienced AI Engineer, Machine Learning Engineer, or Data Scientist who enjoys coaching others and enabling the responsible application of AI in real business environments. You’ll combine strong technical expertise with a coaching mindset—helping learners apply AI confidently, ethically, and effectively at work. What You’ll Do Coach and mentor a caseload of Level 6 AI Engineering apprentices Deliver engaging 1:1 coaching, workshops, and group learning Support learners across the full machine learning lifecycle, from problem scoping to deployment and monitoring Guide learners through End Point Assessment (EPA) and portfolio development Promote responsible AI, ethics, security, and governance Collaborate with employers and internal teams to ensure high‑quality learner outcomes What You’ll Bring Applied experience in machine learning, AI engineering, or data science Hands‑on experience with production ML systems Strong Python skills and experience with tools such as: scikit‑learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face / generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing others Why Join Corndel? Remote, flexible, and supportive working environment Opportunity to shape AI and ML capability across the UK Inclusive, values‑driven culture focused on quality and impact Apply now if you want to use your AI and machine learning expertise to make a meaningful impact through education. As part of our commitment to create an inclusive workplace where all colleagues can be their true selves, excel in their roles and progress in their careers, we recognise the importance of embracing the diversity in the working population and making Corndel a fully accessible employer. As Corndel is a Disability Confident Employer, we make sure that a fair and proportionate number of disabled applicants who meet the minimum criteria for a job will be offered an interview. If you would like to be considered under this scheme, when submitting your application, please select the appropriate option to let us know that you have a disability. Please note this does not mean that all disabled people are entitled to an interview, in some recruitment situations such as peak times, we might need to limit the overall numbers of interviews we offer. If you have a disability that might affect any stage of the recruitment process, please let us know about any help or reasonable adjustments you need before any interview or assessment. We’ll work with you to make sure any appropriate support is in place and make the application process a more positive experience. Corndel is committed to safeguarding and safer recruitment practices, and will undertake pre-employment checks on the successful candidate, including DBS Disclosure. For more information contact _

At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with , and Fellows from our award winning _. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. As a Senior Data Scientist in our Defence business unit you will lead project teams that deliver bespoke algorithms to our clients across the defence and national security sector. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes. You will play an important role in the development of others at Faculty by acting as the designated mentor of a small number of data scientists, and by supporting the professional growth of data scientists on the project team. The latter includes giving targeted support where needed, and providing step-up opportunities where helpful. Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team. Senior experience in either a professional data science position or a quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic culture An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! As the Engineering Manager of Semantic Understanding, you will lead a development team focused on extracting rules from the environment that influence driving behaviour. Initially, these will feed into ADAS functions such as lane assist, traffic sign detection, and ODD classification, as part of our ADAS One-Stop Shop product. Our AV2.0 approach to ADAS outperforms the current systems available in the market, enabled by large volumes of data, edge filtering, and validation at scale. We are looking for a system-oriented leader with cross-functional experience to bridge this world of conventionally perception-based features to end-to-end learning. Key responsibilities: • Help define and drive the Semantic Understanding roadmap, lead technical discussions and guide direction where needed., • Build a resilient team which prioritises effectively, anticipates the needs of the business, and maintains a culture of impact., • Understand Wayve’s end-to-end approach and how it maps to AV 1.0, drawing parallels in our development story and highlighting key advantages. This may include external engagements where necessary., • Dive into data analytics, constructing evaluation suites, and get in-vehicle experiences from time to time to ground your understanding of the system., • Drive cross-functional initiatives through effective communication, working through organisational boundaries when necessary to deliver on company goals and priorities. In order to set you up for success as an Engineering Manager at Wayve, we’re looking for the following skills and experience. Essential • Proven track record of managing engineering teams., • Solid understanding of machine learning fundamentals., • Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables., • Track record of promoting software engineering best practices and excellence within the team., • Demonstrated ability to manage software engineers and grow their careers., • Good foundational coding knowledge and experience. Desirable • Experience developing ML systems., • Experience with perception systems, trained and deployed at scale., • Experience with offline autolabelling., • Experience with performance evaluation of embodied AI systems., • Development experience in Python., • Experience developing ADAS functions. This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as and bank accounts, we offer , , a and in the UK, with more exciting things to come beyond. Our UK customers can also , and _ with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ Cardiff, London or Remote UK | Salary £93,000 - £120,000 + Incentive Awards tied to your performance + | ✨ This role sits as part of a multidisciplinary squad, collaborating with other Machine Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers. You'll play a key role by leveraging your deep experience of developing and deploying advanced Machine Learning models as to: • Automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs., • Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time., • Design machine learning solutions that scale globally. The technical approaches you take to solve these problems will be very much in your hands and we’ll strongly encourage and support experimentation and innovation. We’ll be expecting you to justify and demonstrate effectiveness along the way, making sure the approach meets our business and customer needs. What we’re doing here at Monzo excites you! • You have a track record of deploying advanced Machine Learning models tackling real business problems with demonstrable impact, preferably in a fast moving tech company., • You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production., • You have a passion for sharing knowledge and raising the technical bar across the team., • You have a self-starter mindset; you proactively identify the most impactful issues and opportunities and collaboratively tackle them without being told to do so., • Using advanced ML techniques to ensure Monzo’s customers money stays safe, even if their card, phone or account is compromised, sounds exciting to you., • You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn _ which is used in many of our backend microservices., • You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact., • You thrive working on ambiguous problems and have a track record of helping your team and stakeholders resolve that ambiguity., • You have strong communication skills and are able to explain complex technical concepts to non-technical stakeholders, • You want to be involved in building a product that you and the people you know use every day, with a product mindset that prioritises customer outcomes and data-informed decisions., • You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain., • You’re adaptable, curious and enjoy learning new technologies and ideas., • Experience in supporting your team in shaping the ML strategy of your area, • Experience working with financial crime, operations and in regulated institutions, • Commercial experience writing critical production code and working with microservices, • Experience in evaluating ML models in live environments such as through A/B tests ✈️ We’ll help you relocate to the UK. ✅ We can sponsor your visa. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. £1,000 learning budget each year to use on books, training courses and conferences. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! _. Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! • 30 minute recruiter call, • 45 minute call with hiring manager, • 60 minute ML Modelling interview, • 60 minute Product & ML interview, • 60 minute behavioural interview Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on _ #LI-REMOTE #LI-SR1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2026 and 2025 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage

Full Stack Engineer / Developer (JavaScript TypeScript) WFH / London to £75k Opportunity to progress your career as a Full Stack Developer working on Tech for Good application for the healthcare sector that utilises AI and Machine Learning techniques to help prevent patients from experiencing health crisis. As a Full Stack Engineer you'll collaborate with a small team working on internal tools and data platforms, with a focus on implementing robust security practices and scalable architectures. You'll use a range of technology, primarily JavaScript on the backend and TypeScript on the frontend, you'll build secure, responsive user interfaces, implement RESTful APIs, optimise database queries for performance and ensure solutions are highly scalable and maintainable. This is a great opportunity to join a scaling start-up in a role that you can shape and influence. Location / WFH: You can work from home most of the time, meeting up with colleagues in the London office once a month / quarter. About you: • You have strong full stack development experience with JavaScript and TypeScript, • You have a strong appreciation of RDBMS, security data architecture and ISO 27001, • You are collaborative, enjoy problem solving and are proactive in getting things done, • You've previously worked in start-ups or small software companies in unstructured environments, • You have achieved a 2.1 or above at BSc in Computer Science or similar technical discipline What's in it for you: • Salary to £75k, • Remote first, flexible working with occasional team meet-ups, • Private Healthcare, • Pension, • Opportunity to make a difference, working on Tech for Good Apply now to find out more about this Full Stack Engineer / Developer (JavaScript TypeScript) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a _ (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a _ company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in _, committed to making a positive impact on its customers, employees, and communities. The Role Veeva Link supports the life sciences industry to connect with key people to improve research and care. It helps professionals to find the right people for, e.g., clinical trials, education programs, or advisory boards. This streamlined access helps to reduce the time-to-market of important drugs, conduct trials with the most relevant experts in the respective field, and spread information about new treatments to key people in the life science community. You can read more about Veeva Link on our product pages at _. As a data engineer, you focus on our data pipelines and take responsibility for a major part of the Link data processing platform. We value end-to-end ownership, which puts you into the sweet spot of finding, designing, and implementing improvements to the product's data pipelines and adjusting them to changing demands of the market. You take responsibility for features and innovation using SOLID and clean software principles, take part in the architectural enhancement process and care for the quality of the outcome. Monitoring, metrics, and general observability are part of the feature design process. We hire the same role for different engineering domains: Sourcing, Tagging, Matching, and Provisioning. Depending on the engineering domain, you will focus on different aspects. We decide together which domains fit best for you. \n What You'll Do • Work on Veeva Link’s next-gen Data Platform, • Improve our current environment with features, refactoring, and innovation, • Work with JVM-based languages or Python on Spark-based data pipelines, • Operate ML models in close cooperation with our data science team, • Experiment in your domain to improve precision, recall, or cost savings Requirements • Expert skills in Java or Python, • Experience with Apache Spark or PySpark, • Experience writing software for the cloud (AWS or GCP), • Speaking and writing in English enables you to take part in day-to-day conversations in the team and contribute to deep technical discussions Nice to Have • Experience with operating machine learning models (e.g., MLFlow), • Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DeltaLake, Redshift), • DevOps skills, including terraform and general CI/CD experience, • Previously worked in agile environments, • Experience with expert systems Perks & Benefits • Comprehensive benefits package, • Annual allocations for continuous learning, development & charitable contributions, • Fitness reimbursement, • Veeva Work-Anywhere \n #RemoteUK Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at _.

About the job This is an exciting role for a commercially-minded operator who gets into the weeds — someone who doesn't just analyse the business, but rolls up their sleeves to build the tools, processes, and workflows that make revenue generation work better. As Revenue Operations Manager, you will own the analytical and operational infrastructure that powers our Travel Commercial organisation. This organisation is responsible for all the travel supply inventory — hotels, homes, and cars — that is distributed to our global partners. You will be expected to design, build, and implement: from data models and reporting frameworks through to process redesigns and AI-powered ways of working that give our teams a structural edge. Reporting into senior commercial leadership and working in close partnership with our Product and Engineering teams, this role sits at the exciting intersection of data, process, and technology. It will cultivate the skills — stakeholder and programme management, structured problem definition, and data-informed prioritisation — that have typically helped operators grow into roles such as a Commercial Leader, Chief of Staff or Product Manager. Revenue Analytics & Business Intelligence - Own the design, build, and ongoing evolution of the data models, dashboards, and reporting frameworks that give the commercial organisation clear visibility into performance across the full revenue funnel — and maintain them to a standard that makes the data genuinely trusted and acted upon. Use AI tools as a core part of your analytical workflow — accelerating the speed of insight generation, improving output quality, and freeing up time for higher-order problem solving. Conduct deep-dive analytical projects to identify patterns, anomalies, and opportunities in revenue data — translating complex findings into clear, actionable insights for commercial stakeholders. Define, build, and track KPIs that measure not just business outcomes, but the effectiveness of the processes that drive them — creating a feedback loop that continuously improves how the organisation operates. Process Design & Operational Excellence Map, challenge, and rebuild core revenue workflows — including pipeline management, forecasting cadences, and sales incentive structures — producing cleaner, faster, and more scalable ways of working. Implement operational improvements end-to-end: not just designing the solution, but seeing it through to adoption across commercial teams and measuring its impact with rigour. Identify where AI can be applied to fundamentally change how revenue processes work — building and deploying those solutions directly rather than outlining them for others to execute. Systems Thinking & Tooling Develop a hands-on understanding of how our revenue tech stack — data pipeline and customer-facing product — fits together, diagnosing where friction, data loss, or missed opportunities exist. Work directly with Product and Engineering teams to shape and prioritise improvements to internal tooling and systems, grounding those conversations in operational data and a clear point of view on what will move the needle. Translate commercial problems into well-defined briefs that technical teams can act on — bringing enough technical fluency to be a genuine peer in those conversations. Commercial Strategy & Go-to-Market Contribution Own preparation and follow-through for key internal meetings, strategic reviews, and cross-functional forums — ensuring the right data is in the room and that decisions translate into clear next steps with accountable owners. Build the analytical frameworks that underpin quarterly planning, forecasting, and target-setting — producing outputs that commercial leaders can use directly. Contribute to go-to-market strategy and sales process design, bringing a data-informed perspective on where the highest-leverage opportunities lie. Spend time in the field with commercial teams to understand where the real friction is — then go and fix it. 3–5 years of experience in revenue operations, sales operations, strategy & operations, or a similar analytical or commercial role. A track record of building things — data models, dashboards, process frameworks, operational tools — not just recommending them. Strong commercial instincts paired with rigorous analytical capability — comfortable moving between a strategic conversation and a hands-on build with equal ease. Genuine excitement about AI and a habit of already using it — someone who has explored how AI tools can accelerate and improve their own work, and is eager to bring that into the fabric of how a commercial organisation operates. Proficiency in SQL and experience with data and BI tools (e.g. Looker, Tableau, BigQuery, or similar). Experience working cross-functionally with Product and/or Engineering teams, or a strong desire to build this muscle — with enough technical fluency to hold their own in those conversations. A bias toward first-principles thinking — questioning assumptions, stress-testing processes, and always asking why something works the way it does. A bias for action, a strong sense of ownership, and the ability to thrive in fast-moving, ambiguous environments. Perks and benefits of working with us: Well-funded and proven startup with large ambitions, competitive salary, upsides of pre-IPO equity packages. Hopper covers 100% of the premiums for the employee for a group insurance plan through Vitality Health. Automatic contributions when you start with Hopper through Smart Pension. Please ask us about our very generous parental leave, much above industry standards!. Access to co-working space on demand through FlexDesk AND Work-from-home stipend. Carrot Cash travel stipend. Unlimited PTO. Entrepreneurial culture where pushing limits and taking risks is everyday business. Open communication with management and company leadership. Small, dynamic teams = massive impact. More about Hopper At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. he Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we’ve grown into a travel fintech provider, commerce platform, and global travel agency that powers some of the world’s largest brands. Through HTS, our B2B division, the company supercharges its partners’ direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada, and many more. Here are just a few stats that demonstrate the company’s recent growth: Billions of dollars worth of travel and travel fintech are sold through Hopper and HTS’ channels every year. Our fintech products – including Cancel for Any Reason and Flight Disruption Assistance – have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions. Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel. Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 75% of the business. Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines and many more. Hopper has been named the #1 most innovative company in travel by Fast Company Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agencies in North America and 70% of our app customers are Gen-Z and millennials travelers. Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. HTS is primed to continue its growth as the leading travel ecommerce provider in a $1 trillion online shopping category. The Hopper app and website will also continue to be the preferred travel provider for Gen Z and Millennials.. Come take off with us! #LI-REMOTE

This is a vacancy for a hybrid, remote or on-site role at one of our HQs. We encourage applications from all qualified candidates, regardless of gender identity. As we continue to expand and evolve our Data Platform and Data Network products, we're looking for a Senior Machine Learning / Artificial Intelligence Engineer (m/f/x) to join our Product & Engineering team. In this role, you'll collaborate with our Principal Data Scientist to facilitate the establishment of practical AI solutions and scale our product capabilities, enhancing data integration offerings across our products. At Lobster, our Data Platform, Data Network, and connected Data Products share one mission: to connect people, data, and intelligence (human & artificial) to transform processes in supply chain, manufacturing, and retail. We empower our customers with the right tools to tackle complex challenges with scalable solutions. Ready to make your mark in an AI-driven environment? • Designing and building robust, scalable systems that support high-volume supply chain transactions across our platform., • Defining and implementing AI strategies and scalable microservices that drive data mapping, transformation, and intelligent integration., • Developing and maintaining RESTful and GraphQL APIs to ensure seamless communication between services and systems., • Creating and optimizing event-driven data pipelines to enable real-time processing, automation, and decision-making across our products., • Evaluating, selecting, and implementing the best-fit tools and technologies to solve complex engineering and data challenges effectively., • Collaborating directly with key customers and internal stakeholders to validate solution performance and ensure product impact and usability., • 5+ years of engineering experience focused on Machine Learning, AI, and Data Science., • Hands-on production experience with LLMs, PyTorch, ML pipelines, and modern prompt engineering frameworks., • Strong skills in Python development, including building microservices and working with event-driven architectures., • Proficiency in designing and consuming RESTful and GraphQL APIs., • Experience with AWS or Azure ML services (e.g., SageMaker, Bedrock, Azure ML) and cloud-native development., • Experience with PostgreSQL and MongoDB or similar relational and NoSQL databases., • A solid grasp of system design, scalability, and performance optimization in ML-driven applications., • A pragmatic, test-driven approach and experience implementing CI/CD pipelines., • Ability to translate business requirements into practical technical solutions, especially in data integration for supply chain/logistics contexts., • Strong communication skills in English., • Opportunity to work flexibly from home, • Modern offices in Germany, the Netherlands, and the UK, • A personal Learning & Development budget, • Up to 20 days of remote work per year from any EU country, • Company Pension plan, • 30 vacation days a year, • Location-specific benefits packages (your recruiter will be happy to provide more details during your first chat), • Company-sponsored business travel For this role, we are open to working with specialists based in Germany, the Netherlands, or the UK. Whether you prefer working on-site at our offices in Tutzing, Rotterdam, Leeds or remotely from a location within one of these countries, we’re happy to accommodate your preferred working style. If you’re excited about this role but don’t meet every qualification, we encourage you to apply! Lobster is an equal opportunity employer. We are committed to fostering a diverse and inclusive environment where empathy and respect guide our interactions.

About Us Sophos is a cybersecurity leader defending 600,000 organizations globally with an AI-driven platform and expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection, and response. Sophos offers industry-leading managed detection and response (MDR) alongside a comprehensive portfolio of cybersecurity technologies — including endpoint, network, email, and cloud security, extended detection and response (XDR), identity threat detection and response (ITDR), and next-gen SIEM. Together with expert advisory services, these capabilities help organizations proactively reduce risk and respond faster, with the visibility and scalability needed to stay ahead of evolving threats. Sophos goes to market with a global partner ecosystem, including Managed Service Providers (MSPs), Managed Security Service Providers (MSSPs), resellers and distributors, marketplace integrations, and cyber risk partners, giving organizations the flexibility to choose trusted relationships when securing their business. Sophos is headquartered in Oxford, U.K. More information is available at _. About the Role We’re looking for a Senior Software Engineer who cares deeply about building high-quality products - not just testing them after the fact. In this role, you’ll help shape how quality is engineered into our products from day one, working across software development, automation, and modern testing practices. This role includes a blend of hands-on testing and automation. You’ll design systems, build tooling, and dive into manual testing where it adds the most value - all while helping the team deliver reliable software at scale. We’re exploring how AI can meaningfully improve quality engineering beyond code assistants, and you’ll have the opportunity to shape that journey in a practical, grounded way. This is an area we’re actively evolving, not a fully mature capability today. If you enjoy solving real engineering problems, improving how teams build software, and taking a pragmatic approach to quality, this role will give you the space to do it. Engineering Quality into the Product • Partner with engineers, product managers, and designers to build quality into features from the start - not bolt it on at the end., • Contribute directly to product code where it improves reliability, testability, and observability., • Help shape system design decisions to reduce defects before they happen. Building Scalable Test & Automation Systems • Design and implement robust, maintainable automation across API, integration, and UI layers., • Evolve our testing approach using modern engineering practices - focusing on fast feedback, meaningful and reliable results, and developer productivity., • Improve CI/CD pipelines so quality checks are fast, reliable, and genuinely useful (not just gates). Exploring AI-Driven Engineering • Experiment with AI to improve how we test and validate software - from intelligent test generation, smarter failure analysis and self-healing approaches., • Build or integrate tools that reduce manual effort and increase confidence in releases. Raising the Bar for Engineering • Help establish a strong, pragmatic quality culture that developers actually value., • Ensure quality is a shared responsibility across the team, not owned by a single individual., • Share ideas, mentor others, and contribute to how we continuously improve as a team., • Influence engineering practices beyond your immediate team., • Strong software engineering experience (JavaScript, TypeScript, or similar)., • A track record of building or improving automated testing in real-world systems., • Experience working in modern development environments with CI/CD and cloud platforms., • A practical mindset: you care about outcomes, not just frameworks or theory., • Hands-on experience applying AI within quality engineering or testing contexts - for example, test generation, failure analysis, test optimisation, or similar., • Ability to go beyond basic coding assistants and use AI to solve real testing or quality problems in innovative ways., • Experience working on security or high-reliability systems., • Exposure to performance or security testing., • Contributions to engineering communities, blogs, or open source., • Engineers move faster with more confidence because quality is built into their workflow., • Testing provides fast, meaningful feedback - not noise., • AI-driven approaches reduce manual effort and uncover issues earlier., • The team sees quality as an enabler, not a bottleneck., • You’ll be treated as a software engineer first, not a gatekeeper., • You’ll have room to experiment with new ideas, including AI, and turn them into real impact., • You’ll influence how software is built - not just how it’s tested. Ready to Join Us? At Sophos, we believe in the power of diverse perspectives to fuel innovation. Research shows that candidates sometimes hesitate to apply if they don't check every box in a job description. We challenge that notion. Your unique experiences and skills might be exactly what we need to enhance our team. Don't let a checklist hold you back – we encourage you to apply. What's Great About Sophos? · Sophos operates a remote-first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first organization, applicants must have legal authorization to work in the jurisdiction where the position is posted, without requiring employer sponsorship. · Our people – we innovate and create, all of which are accompanied by a great sense of fun and team spirit · Employee-led diversity and inclusion networks that build community and provide education and advocacy · Annual charity and fundraising initiatives and volunteer days for employees to support local communities · Global employee sustainability initiatives to reduce our environmental footprint · Global fitness and trivia competitions to keep our bodies and minds sharp · Global wellbeing days for employees to relax and recharge · Monthly wellbeing webinars and training to support employee health and wellbeing Our Commitment To You We’re proud of the diverse and inclusive environment we have at Sophos, and we’re committed to ensuring equality of opportunity. We believe that diversity, combined with excellence, builds a better Sophos, so we encourage applicants who can contribute to the diversity of our team. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, sex, gender reassignment, marital status, race, religion or belief, color, age, military veteran status, disability, pregnancy, maternity or sexual orientation. We want to give you every opportunity to show us your best self, so if there are any adjustments we could make to the recruitment and selection process to support you, please let us know. Data Protection If you choose to explore an opportunity, and subsequently share your CV or other personal details with Sophos, these details will be held by Sophos for 12 months in accordance with our Privacy Policy and used by our recruitment team to contact you regarding this or other relevant opportunities at Sophos. If you would like Sophos to delete or update your details at any time, please follow the steps set out in the Privacy Policy describing your individual rights. For more information on Sophos’ data protection practices, please consult our Privacy Policy _We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Backed by a16z and Salesforce Ventures, Sequence is reinventing the accounts receivable category, building a flexible toolkit to help B2B finance teams to scale their revenue collection infrastructure. The team behind Sequence has decades of experience building and operating category-defining marketplace, machine learning, fintech, and enterprise software companies. We are no ordinary start-up; the maturity of our leadership and technology means we are operating at a lightning fast pace. This is a fantastic opportunity to be a part of the next wave of innovation for the CFO office, doing your best work with talented, ambitious and creative teammates. Sequence is the ultimate billing and revenue stack for B2B companies. We help our customers design and iterate on their pricing and revenue flows, so they can stay completely focused on their mission without worrying about billing. At the end of your career, we want you to look back at your time with Sequence and say it was the best job you ever had. We're looking for software engineers with strong backend and cloud infrastructure experience to build the systems that power billing for modern B2B companies. You'll own revenue-critical infrastructure - the kind where correctness isn't negotiable and downtime isn't an option. Our usage events platform processes every merchant action that determines how their customers get billed, making it one of the most critical systems we run. You'll work on the evolution of this platform to handle exponential growth while maintaining perfect accuracy. This is a rare opportunity: you're joining early enough to make fundamental architectural decisions, but late enough that real customers depend on what you build. You'll design systems that process high-velocity event streams, make technical decisions that balance cost and performance at scale, and build infrastructure that never compromises on reliability. Own revenue-critical event infrastructure. You'll work on systems that process customer usage data on which billing and invoicing depend. Design event streaming pipelines that handle high throughput with low latency. Build robust systems where data accuracy is non-negotiable and uptime is measured in nines. Design scalable data systems. You'll work with event streaming architectures, building sophisticated ingestion pipelines and query optimization strategies. Our event volumes grow with every new customer, so you'll architect systems that scale efficiently while keeping costs reasonable. Shape our backend architecture. You'll tackle our most complex technical challenges and set the standards for how we solve them. Our services run on Kotlin with Spring Boot, and you'll have significant influence over architectural patterns and how we approach infrastructure problems. Build for the next phase of growth. You'll design systems that work beautifully today and scale to 10x the load tomorrow. This means thinking about data storage strategies, horizontal scalability, and how your architectural decisions affect performance as volume increases. Drive impact on a small team. We've built an engineering culture around collaboration, learning, and shipping. You'll have significant influence on what we build, how we build it, and how we work together. ✅ Love building systems that scale. You've worked on backends that handle significant load and understand the tradeoffs in designing for throughput, latency, and cost. You know when to optimize and when good enough is actually good enough. ✅ Have strong experience in event-driven architectures. You've built pub/sub systems, worked with event streaming platforms, and understand the nuances of event delivery semantics, backpressure, and ordering guarantees. ✅ Think deeply about data systems. You've worked with analytical databases or OLAP systems. You can reason about columnar storage, indexing strategies, and query optimization without needing a whiteboard. ✅ Own your infrastructure. You've provisioned cloud resources, written infrastructure-as-code, and made architectural decisions that balance competing constraints. You understand how to model and optimize costs as systems scale. ✅ Write backend code in strongly-typed languages. Our services run on Kotlin, though you don't need prior experience - many of our engineers learned it here and loved the challenge. What matters is that you're comfortable with type systems and backend development. ✅ Want to work on something new. The biggest technical decisions still lie ahead. You'll help define our infrastructure strategy, not just implement someone else's vision. ✅ Thrive in uncertainty. We're an early-stage company. Priorities shift as we learn from customers. Requirements evolve as we understand the problem space. You find this energizing, not frustrating. ✅ Care about customers and their problems. You'll work directly with customer data and build systems that power their revenue. You'll need to understand not just how to build things, but why they matter. 👎 Prefer staying in your lane. We're small and fast-moving. Engineers here work across different parts of the system and adapt as needs change. 👎 Want a predictable roadmap. We don't have a year-long backlog of perfectly scoped tickets. We figure out what to build based on customer needs and technical priorities. 👎 Prefer a slower pace. We're solving real problems for customers today, which means we need to move quickly and make pragmatic tradeoffs. 👎 Want startup perks with big company stability. We're early stage - that comes with excitement and opportunity, but not the benefits package of an established tech company. The salary range for this role is £90,000 - £110,000 + share options Early ownership of critical infrastructure at a fast-growing company Real architectural influence - your decisions will shape how we build for years A collaborative team that values deep technical work and continuous learning We support remote work within +/- 3 hours of GMT and EST, or you can work from our offices in central London or New York - whatever you prefer. The hiring process follows the same general outline for all engineering roles. 1️⃣ First interview (15 mins): A 15 minute interview with an engineer to learn more about you and your experience. 2️⃣ Technical Interview (60 mins): A live pair-programming exercise with one or two of our engineers. We'll ask you to start a new project in a language of your choice, and you'll work with the engineers to solve some requirements and write a test suite. 3️⃣ System Design Interview (60 mins): Focused on how you approach system design problems, own the solutions, and apply a product mindset. 4️⃣ Final interview (30 mins): A final interview with our CEO, Riya.

Who are OnBuy? OnBuy are an online marketplace who are on a mission of being the best choice for every customer, everywhere. We have recently been named one of the UK's fastest-growing tech companies in the Sunday Times 100 Tech list. All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed. Working at OnBuy: We are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving. At OnBuy, you're not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves. About the Role We’re building a more intelligent, scalable product catalogue across multiple markets. Core capabilities like auto-categorisation and brand detection already exist, but they are not yet connected into a system that consistently drives quality, discovery, and growth. This role owns that system. The Senior Applied ML Engineer - Catalogue Intelligence is responsible for building the machine learning systems that power OnBuy’s catalogue decisioning engine. Working in partnership with the Head of Seller Solutions, who defines catalogue rules and commercial logic, you will design and deploy production-grade systems that automatically improve: • Product categorisation, • Product data quality and completeness, • Pricing competitiveness insights, • Catalogue coverage and selection, • Product discoverability This is a hands-on, production-focused role where outputs directly modify the live catalogue and materially impact GMV, conversion performance, search, and discovery. Core mission Turn catalogue rules and commercial logic into automated, data-driven systems that continuously improve discovery, data quality, pricing competitiveness, and revenue outcomes. What you’ll be responsible for You’ll take ownership of how product data is structured, validated, and used across the platform. This includes: • Improving how we classify and understand products at scale, • Raising the overall quality of catalogue data and defining what “good” looks like, • Ensuring product data supports effective search, filtering, and discovery, • Identifying gaps in our catalogue and surfacing opportunities for growth, • Improving how our catalogue performs across external channels, • You’ll build and evolve the systems and decision logic that enable this, and iterate based on real-world performance and data. You’ll work across: • Structured data (catalogue attributes, GTINs, taxonomy), • Unstructured data (text and images), • Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where appropriate. The focus is on shipping practical systems quickly, validating them with real data, and improving them over time. You’ll work closely with engineering, product, and analytics, but you’ll be expected to own and deliver the core logic yourself. This role is not focused on research or offline modelling. You’ll be expected to build systems that operate in production and directly influence how products appear and perform on the platform. Experience & Skills • Experience building and shipping production data or ML systems with measurable business impact, • Strong Python and SQL skills, with the ability to work across data pipelines end-to-end, • You should be comfortable applying modern approaches such as LLMs, multimodal models, and information extraction techniques, and taking them from experimentation into production with proper evaluation, monitoring, and cost control., • Experience working with messy, unstructured or semi-structured data (e.g. text, images, product data), • Ability to design systems that make decisions, not just predictions, • Strong judgement in balancing accuracy, risk, and business impact, • Experience with ecommerce or marketplace catalogues is a plus, but not required. How you’ll operate • Take ownership of problems end-to-end, from idea through to production impact, • Build systems that are scalable, testable, observable, and auditable, • Design automation with confidence thresholds, monitoring, and feedback loops in mind, • Maintain clear documentation, evaluation frameworks, and versioning for models and logic, • Work pragmatically, favouring simple solutions that deliver impact quickly, • Communicate trade-offs clearly to technical and non-technical stakeholders, • You should be comfortable working in environments where data is incomplete, inconsistent, and constantly evolving., • You’ll be working across cloud-based data systems (GCP), building and deploying data pipelines and production ML workflows. Experience with orchestration tools (e.g. Airflow or similar), CI/CD, and model deployment practices is beneficial. The salary on offer for this role is £65000- £75000 depending on experience. We also offer the following benefits: • Company Equity- In return for helping us to grow, we’ll offer you company equity, meaning you own a piece of this business we are all working so hard to build., • 25 days annual leave + Bank Holidays, • 1 extra day off for your Birthday, • Employee Assistance Programme, • Perks at Work benefit platform, • Opportunities for career development and progression This role is UK remote or Hybrid if you live near our Manchester or Bournemouth's offices. Please only apply if you have the full right to work in the UK Our Commitment OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. Just a heads up — we never use WhatsApp. or any messaging apps to contact candidates If someone reaches out this way, it isn’t us and let the recruitment team know.

📍London, Cardiff or Remote in the UK | 💰 £97,800 -125,000 + | ✨ ⭐Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we’re looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 🔑You’ll play a key role by... • Serving as a data architect for Monzo’s Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite., • Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases., • Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards., • Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices., • Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance., • Being a key technical leader who’s able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. 🤩We’d love to hear from you : • You have a strong passion for data modelling, ETL projects, and Big Data., • You enjoy working with data streams from various services, such as financial, transactional, and operational systems., • SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts., • You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others., • You have experience building robust and reliable data sets that require a high level of control., • You enjoy working with cross functional fast moving teams and are passionate about serving our customers., • You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers., • You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture., • You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business., • You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan’s deliverables., • You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering., • Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: • Recruiter call, • Initial call, • Technical task, • 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. What’s in it for you: 💰 £97,800-£125,000 base + _ ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits_ #LI-AS #LI-Remote

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)., • Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction., • Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility., • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency., • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)., • Incorporate big data processing scenarios requiring scalable computational approaches., • Verify solutions using Python with standard data science libraries and statistical methods., • Document problem statements clearly with realistic business contexts and provide verified correct answers. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field., • You have at least 5 years of hands-on data science experience with proven business impact., • You have portfolio of completed projects and publications showcasing real-world problem-solving., • You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)., • You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications., • You are proficient in SQL and database operations for data manipulation and analysis., • You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)., • You have good understanding of MLOps practices and model deployment workflows., • You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

Description Brego is an automotive technology company using AI and data analytics to help dealerships, lenders, and other industry partners make better vehicle valuation, pricing, and risk decisions. Working at the intersection of software, data, and decision-making, the team focuses on turning complex information into practical products that support smarter outcomes across the automotive market. As a Lead Data Scientist, you will take ownership of the AI (custom neural networks rather than third-party LLM technology) and machine learning capabilities behind products that influence high-value pricing and risk decisions. This is a hands-on technical leadership role where you will be responsible for designing, building, deploying, and continuously improving production machine learning systems from end to end. You will own the full lifecycle of models, from feature engineering and training through deployment, monitoring, retraining, and ongoing optimisation, working independently while collaborating closely with engineering and product teams to deliver measurable business impact. • Own the end-to-end lifecycle of production machine learning models, from problem definition through deployment and ongoing optimisation., • Design, build and deploy artificial neural network and machine learning models for vehicle valuation, pricing and other analytics., • Take responsibility for production model performance, reliability and long-term maintenance., • Evaluate model performance and improve predictive accuracy across production models., • Develop and maintain automated retraining pipelines to keep models effective over time., • Monitor deployed models, investigate issues and implement improvements to ensure models remain accurate and reliable., • Design and run experiments, track results and use data to drive model improvements., • Work closely with engineering and product teams to integrate models into production systems and deliver business value. Requirements Must have: • 5+ years of experience building and deploying machine learning models in production environments., • Strong experience developing and training neural networks for real-world applications., • Strong experience with the Python data science ecosystem, including pandas, NumPy and scikit-learn., • Hands-on experience with PyTorch or TensorFlow., • Strong understanding of machine learning, statistics, and model evaluation methodologies., • Experience taking machine learning models from concept through deployment and ongoing production ownership., • Experience evaluating model performance, improving predictive accuracy, and maintaining retraining pipelines, model monitoring, and experiment tracking., • Experience with feature engineering and working with large, real-world datasets., • Experience writing clean, maintainable, production-quality Python code., • Experience with SQL for data analysis and data manipulation., • Experience deploying ML workloads in cloud environments., • Ability to independently own technical projects and make sound engineering decisions with minimal supervision., • Strong problem-solving skills with the ability to investigate complex data and modelling challenges., • Strong communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders., • Experience collaborating with software engineers, product managers, and data engineers., • Eligible to work in the UK. Nice to have: • Experience in the automotive industry or with vehicle data., • Experience in pricing, forecasting, risk modelling, or other predictive analytics domains., • Experience with MLOps tooling and infrastructure., • Experience building automated data and model pipelines., • Experience mentoring or providing technical leadership to other data scientists or engineers. Benefits • Competitive salary of £90,000 - £110,000 per year, depending on experience., • Private healthcare., • Pension scheme., • Fully remote role with flexible working hours., • Working from home allowance., • Choice of Apple MacBook Pro or high-spec Windows workstation., • Learning and progression opportunities., • Optional access to our Silverstone office. The team usually meets there around one day per week, but attendance is entirely optional., • High levels of ownership and autonomy with the opportunity to shape the company’s AI strategy., • Collaborative, low-bureaucracy engineering culture that values autonomy, integrity and innovation., • Regular company social events., • 25 days annual leave plus 3 additional days between Christmas and New Year.

📍 London, Cardiff or Remote in the UK | | ✨| Check out our _ 🚀 What you’ll be working on: The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation processes and best in class analytics and Data Science. You’ll enable our data driven approach, and: • Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases., • Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost., • Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards., • Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen., • Take established best practices and standards defined by the team, applying them within other areas of the business., • Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse., • Contribute to prioritisation of data governance issues, • We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role We’d love to hear from you if… • You enjoy working with cross functional fast moving teams and are passionate about serving small businesses., • You are able to think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers., • You have a strong passion for data modelling, ETL projects, and Big Data., • You enjoy working with data streams from various services, such as financial, transactional, and operational systems., • SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts., • You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. Nice to haves • Any experience working within a finance function or knowledge of accounting., • Experience working in a highly regulated environment (e.g. finance, gaming, food, health care)., • Knowledge of regulatory reporting and treasury operations in retail banking, • Exposure to Python, Go or similar languages., • Experience working with orchestration frameworks such as Airflow/Luigi, • Have previously used dbt, dataform or similar tooling., • Used to AGILE ways of working (Kanban, Scrum) The Interview Process: Our interview process involves 3 main stages: • 30 minute recruiter call, • 45 minute call with the hiring manager, • Take home task, • 2-part final stage Our average process takes around 3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What’s in it for you: 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits_ If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

3 billion people across the world work in frontline jobs. Yet, despite rising costs and staff shortages, frontline organisations are still left to choose between paper, Excel, and WhatsApp, or decade-old workforce management solutions to take care of the most important part of their businesses - their people. Enter Sona: the next generation of AI-native, frontline workforce management. We've built an end-to-end platform covering Scheduling, HR, Payroll, and Communications that gives the largest frontline organisations everything they need to staff more intelligently and empower their teams. In under 5 years, we've already made a deep impact on the lives of over 100k frontline workers and the operation of their organisations, grown the team to 140+, and secured over $100M in funding from notable VC's, including our Series B led by N47 alongside Felicis, Northzone, and Gradient Ventures (Google). It's a hugely exciting time to be joining the team as we're still small enough that you'll have a significant impact on the company's growth trajectory and culture, yet large enough to have a great structure, experienced leaders and world-class benefits in place. More on working at Sona here. About the Role You'll join a two-person ML team that has built a production forecasting system running daily half-hourly predictions across multiple restaurant chains. Our forecasting models enter into a complex environment with key machine and human decisions being made on their predictions, facing feedback loops and a highly variable environment. The system works - the challenge now is scaling it from a handful of clients to 100s. You'll own client launches end-to-end: validating data, selecting models, running UAT, going live, and monitoring performance afterwards. You'll join client calls, build relationships, and understand what actually matters on the ground - not just whether the model is accurate, but whether the kitchen prepped the right amount of food. You'll love this role if: You enjoy taking ownership of the product and outcome end-to-end. Machine learning at Sona is a success if we have happy clients running successful businesses as well as the models which are best in industry You have a focus on solving the problem and when given the choice between "complicated and shiny" vs "get something simple in front of a user", you choose the latter You're excited by working with our industry experts to really understand what's happening in our client's businesses and the realities of working there You see beyond the data to the world that resulted in this data generating process, the issues that come with it and the opportunity that it gives us You're experienced in and excited by taking a machine learning project from business idea to deployed production system You default to AI tools for development. You use Claude Code, Cursor, or equivalent daily - not as a novelty, but as your standard working mode Our role won't be for you if: You're hoping to do research and publish research papers as a key element of the work that you do You're looking to move into a less technical, more managerial role You're keen to get your hands on fancy new technology X and apply it to something You prefer to work on one thing and make it perfect before moving on - the role requires pragmatism, parallelism, and iterative improvement Requirements You'll need these skills/experience to be successful: Production ML experience, with a track record of deploying ML systems that handle messy data, fail gracefully, and need monitoring Strong ML fundamentals - you can reason about trade-offs in practice, explain why certain features matter more than model selection, and make good judgement calls when something unexpected happens Client-facing deployment experience - you've personally owned an ML deployment end-to-end and are comfortable on calls with non-technical stakeholders Strong programming skills in Python, including the ML/scientific Python stack (e.g. numpy, scikit-learn) Daily use of AI development tools (Claude Code, Cursor, Copilot or equivalent) as your default working mode It would be great if you have experience in some of these areas too: Forecasting, time-series, or demand-planning - someone who understands lag features, calendar effects, and evaluation integrity intuitively will ramp significantly faster Our stack: Python, scikit-learn, MLflow, Docker, GCP A small team where ownership is wide and context-switching is normal Benefits Salary: £95,000-£110,000 Fully remote (European timezones) Share options 35 days annual leave (25 days standard plus 10 flexible public holiday days) Extra day of leave for every year of service Pension contributions matched up to 5% Comprehensive health insurance Enhanced parental leave & pay Co-working space stipend for those based outside London Bi-annual all expenses paid team retreats The latest Macbook and equipment budget for your home office Professional development budget Unlimited free books Note: this represents a typical benefits package for a UK-based, full-time employee. Exact details may vary based on location and employment type but we try to be as fair as possible to all of our team members. Please ask your contact in the Talent team to clarify the available benefits for you.

At Zego, we know that traditional motor insurance holds good drivers back. It’s too complicated, too expensive, and it doesn't take into account how well you actually drive. That’s why, since 2016, we’ve been on a mission to change all of that. Our mission at Zego is to offer the lowest priced insurance for good drivers. From van drivers and gig workers to everyday car drivers, our customers are our driving force — they’re at the heart of everything we do. We’ve sold tens of millions of policies so far, and raised over $200 million in funding. And we’re only just getting started. Overview of the Product Team Product Managers at Zego are change-makers. We build and scale data-driven, impactful solutions that enable Zego to offer competitive and personalised insurance. Working in a fast-paced Agile environment, our team thrives on innovation, cross-functional collaboration, and driving measurable outcomes. We’re building a product organisation where AI isn’t a buzzword - it’s how we work. From rapid prototyping with generative AI to using machine learning models that power our core pricing, our PMs operate at the frontier of what technology can do for insurance. From enhancing pricing models to streamlining digital experiences, our Product team is instrumental in shaping the future of insurance. About the Role We are looking for a Lead Product Manager who combines strategic depth with a hands-on builder’s instinct. You’ll own strategic workstreams that span multiple teams and business domains, defining the 6-12 month product direction and shaping how Zego’s products evolve to meet ambitious commercial targets. This role sits at the intersection of strategy, execution, and leadership. You’ll define new product mechanics and revenue models. You’ll make build-vs-buy-vs-partner recommendations that shape Zego’s competitive position. And you’ll champion an experiment-first culture - using AI to compress discovery cycles, generate sharper insights, and ship at a velocity that sets the standard for the rest of the organisation. You’ll work closely with Zego’s Leadership Team on strategic decisions, lead cross-functional programmes, and mentor Product Managers - raising the bar for how the entire product community operates. What You’ll Be Doing • Set strategic direction: Define strategy for the 6-12 month horizon. Shape product operating models and governance. Make build-vs-buy-vs-partner recommendations that directly influence Zego’s competitive position., • Define new product mechanics and revenue models: Identify and validate new revenue opportunities - from 0-to-1 propositions to upsell and retention loops. Ground every bet in unit economics and customer insight, not gut feel., • Architect an experiment-led culture: Embed rigorous experimentation (A/B testing, multivariate, rapid prototyping) into how your teams work. Replace opinion-driven roadmaps with a data-backed cadence where “rate of learning” is the leading metric., • Champion AI adoption across Product: Go beyond personal AI use - develop reusable AI playbooks, workflows, and assets that multiply the team’s output. Identify where AI tools can materially accelerate product development, content generation, data analysis, and decision-making across the organisation., • Lead with data at every level: Design the product metrics and dashboards used by the business. Be proficient in gathering and using financial, behavioural, and usage data to ground strategic decisions. You’re as comfortable in Snowflake as you are in a board-level strategy review., • Drive company-level initiatives with P&L impact: Own programmes that move core business metrics. Be accountable for commercial outcomes, not just feature delivery., • Lead cross-functional workstreams: Partner with engineering, data science, design, marketing, legal, and compliance to ensure your strategy is technically feasible, commercially viable, and delivered with velocity., • Mentor and develop PMs: Manage the product community of practice. Coach Product Managers across the organisation, instilling a customer-first, experiment-first mindset and raising the bar for data capabilities and product craft., • Engage with the Leadership Team: Present strategic recommendations, lead pivots and sunset decisions, and shape how Product is represented in company-wide decision-making.. What You’ll Need to Be Successful • Strategic product leadership: Significant experience leading product strategy across multiple teams or domains, ideally in a high-growth environment. You’ve defined product operating models, shaped governance, and made decisions that moved business-level metrics., • Experiment-first operator: Deep, hands-on experience designing rigorous experiments and rapid prototypes. You’ve built experiment cultures - not just run individual tests. You instil the “build-measure-learn” loop as the default operating rhythm for your teams., • Commercial and financial fluency: Deep understanding of unit economics, pricing levers, and revenue modelling. You prioritise based on expected commercial impact and can credibly partner with Finance and Leadership on P&L-level decisions., • AI as a force multiplier: You don’t just use AI tools yourself - you’ve built AI-enabled workflows, playbooks, or toolchains that made your team measurably faster. You can point to concrete examples of how AI has materially accelerated your or your team’s product development., • Data mastery: Proficient in gathering and using financial, behavioural, and usage data to make strategic decisions. You design the metrics and dashboards that the business relies on., • Technical depth: Comfortable engaging with engineers on system architecture, APIs, ML pipelines, and service design. You understand the technical trade-offs well enough to make informed strategic bets., • Outstanding communication and influence: You engage with the Leadership Team on strategic decisions, lead cross-functional workstreams, and bring stakeholders along through clarity and conviction - not hierarchy., • Builder mentality: You’re not just a strategist. You’re comfortable acting as an IC when needed, getting into the detail, and leading a squad directly when the situation calls for it., • People development: Proven track record of mentoring and developing PMs. You actively contribute to the broader product community, not just your own area. Our Toolkit We believe the tools don’t make the Product Manager, but the right stack helps us move with velocity: • Collaboration: Notion, Whimsical, Slack, Google Meet, • Design, Prototyping & User Testing: Figma, Figma Make, Maze, • Data & Analytics: Snowflake, Amplitude, Hotjar, Looker, • Thinking & Strategy: Claude Cowork, • Automations: Claude Code, Zapier What’s it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things. We’re spread throughout the UK and Europe, and united by our drive to get things done. We’re proud of our company and our culture – a friendly and inclusive space where we can lift each other up and celebrate our wins every day. Together, we’re setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There’s loads of room to learn and grow, and you’ll get the freedom to steer your career wherever you want. You’ll work alongside a talented group who embrace each other's differences and aren’t afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we’re making insurance matter. How we work We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. While some of our team choose to come into our central London office once a week, we’re flexible - some people prefer being in once a month or even quarterly. It’s all about finding the right balance between collaborative face time and focused home-working, so we can achieve great results while maintaining a healthy work-life balance. Our approach to AI We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we’ll provide you with the tools, support, and freedom to do it well. Benefits We reward our people well. Join us and you’ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that’s just for starters! There’s more to Zego than just a job - Check out our_ for insights, stories, and more. We’re an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status. #LI-IL1 #LI-Hybrid

Before the lights go out… before the big move is called… There’s data. There’s technology. There’s AI. As a Full Stack AI Engineer, you will be a core part of our product and AI engineering team as we build the future of sports tech. You won’t just write code - you’ll help redefine what’s possible in professional sports. You're joining at a pivotal moment: when AI is breaking into every level of sport and redefining the competitive edge. Your work will directly influence how athletes perform, how decisions are made, and how fans and teams connect with data. If you’re passionate about innovation with real-world impact, and excited by the intersection of technology, and high-performance environments - this is your opportunity to own outcomes, move fast, and thrive when the stakes are high, by turning AI from concept to scoreboard. • Drive innovation by leading the development of AI-based systems that will redefine what’s possible in sports, • Design, develop, and maintain scalable fullstack web applications integrating AI/ML models, • Collaborate on building PACETEQ’s unified Sports Data Platform, • Implement backend services, RESTful APIs, and frontend UIs in modern JavaScript frameworks (React, or similar), • Integrate ML models into production systems, • Help define software architecture that supports real-time decision intelligence for sports, • Contribute to DevOps and ML Ops pipelines., • Learn and grow through cross-functional projects with a crew of embedded engineers, application developers, and sports experts, • Operate with speed and precision in a performance-driven environment, • Report directly to our CTO and work shoulder-to-shoulder with the CEO when the stakes are high, • 3–6 years experience in fullstack engineering with exposure to AI/ML, • Proficiency with JavaScript, React, and other web technologies, • Hands-on experience deploying machine learning models in a production environment, • Strong API design skills (REST / GraphQL), • Experience with containerization (Docker), cloud platforms (AWS), CI/CD, • Familiarity with AI tools/libraries (scikit-learn, PyTorch/TensorFlow, OpenCV, etc.), • High accountability and ownership: able to independently deliver full features, • Strong verbal + written communication in English, • Adaptable mindset — solving technical challenges in fast-moving environmentsAt PACETEQ, performance starts with people. We reward talent, celebrate collaboration, and create space for you to do your best work while enjoying the journey. Here’s what you can expect: Professional & Personal Development • Trainings, certifications & access to cutting-edge tech, • Career growth tracks in Engineering, Product, or Tech StrategyWork How You Perform Best, • Flexible working model: remote, hybrid, or on-site in Germany/UK, • No micromanagement – full trust, real accountability, • Setup support for your home office or remote gearMobility & Sustainability Benefits (Germany), • We pay for your Deutschlandticket, • Or: Subsidy for bike, e-scooter or leasing model, • Contributions to your bAV (betriebliche Altersvorsorge)Wellbeing & Everyday Life, • Fruit, Snacks and drinks stocked weekly, • Gym, fitness studio, and onsite restaurant (Germany HQ)Culture & Connection, • Regular team events, • Fun, high-trust atmosphere where people stay curious, humble, and braveJob Security & Respect, • We believe in long-term high performance, not hire & fire, • Join us with a secure, full-time, permanent contract, • A future-proof role in a growing international sports tech companyCompensation & Coverage, • Competitive salary based on experience, • 30 days paid vacation + bank holidaysWe will ask you to:, • Complete the questionnaire, • Send us your CV, • Send us your Cover LetterPACETEQ welcomes diverse backgrounds, viewpoints, and experiences. We value potential over perfection. If the role inspires you, apply - even if you don’t tick every box. _

Join the team redefining how the world experiences design. Servus, hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. Fun fact, a big part of our Austrian operations is developing the AI product within Canva to help reimagine how artificial intelligence can be used in design. Pretty cool ha! At Canva, our mission is to empower the world to design. We’re building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research—building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen—reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers—curating task distributions that surface real failure modes. Develop tooling for dataset construction—including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering—designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements—you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: • Equity packages - we want our success to be yours too, • Inclusive parental leave policy that supports all parents & carers, • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more, • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out _ for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you! Please note that interviews are conducted virtually.

Product Manager (Biometrics) About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Product (Biometrics) Location: (WeWork Waterloo) London, UK - Hybrid (1-2 times per week in office) Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options (EMI) + iProov Benefits IProov is looking for a Product Manager to join our growing Product & Innovation team to work on our core Biometric product. In a team of Product Managers working on our Biometric Product, you will work closely with our Engineer and Machine Learning functions owning the Product Experience. You will play an integral part in streamlining our efforts understanding customer pain points and turning them into usable, lovable solutions. This is a role that involves a large amount of autonomy and ambiguity. In a typical week, you can expect to work closely with our customers to draw requirements from both a technical and security perspective, whiteboard R&D options with various teams of Software and Machine Learning Engineers, productionize and commercialize new features where you see fit, and champion the next generation of usable and inclusive biometric products. • Experience in Product Management in a B2B environment, • Experience in User-centric Design, Mobile Applications, and Machine Learning disciplines are assets, • Experience in identifying and implementing data-backed changes, • Experience in conducting customer/user interviews, • Ability to effectively communicate with various stakeholders, • Exposure to operating within a scale up environment, • A drive to make an impact, • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

OneClickComply is changing how cybersecurity and compliance is achieved by small and medium sized businesses by automating thousands of technical tasks at the click of a button. We're backed by a leading Venture Capital investor and work from our state-of-the-art office in Sunderland. Description: • Design, develop, and deploy end-to-end AI/ML-powered features and applications using Python and modern frameworks., • Build, integrate, and maintain machine learning models/solutions—from data pipelines to API deployment and user-facing delivery., • Collaborate with product managers, compliance experts, and engineers to translate business needs into intelligent technologies., • Build robust backend systems and APIs (e.g., FastAPI, Django, Flask) to support AI-driven workflows., • Develop user-friendly frontend interfaces (e.g., React, TypeScript) that surface ML insights and drive engagement., • Lead the development, evaluation, and monitoring of models (LLMs, predictive/classification, agentic workflows), ensuring security and compliance standards are met., • Implement best practices for MLOps, including CI/CD, automated testing, model versioning, and data validation., • Architect integrations with vector databases, cloud platforms, and retrieval-augmented generation systems. Qualifications: • 3+ years of production experience delivering fullstack AI/ML applications., • Proficient in Python (especially for ML with libraries such as TensorFlow, PyTorch, scikit-learn) and backend frameworks (FastAPI, Django, Flask)., • Experience with frontend frameworks: React, Vue, or Angular., • Practical expertise in building and scaling ML models (LLMs, NLP, classification) and deploying them as APIs/services., • Strong skills in MLOps: containerisation (Docker, Kubernetes), cloud deployment (AWS, GCP, Azure), and CI/CD., • Experience with prompt engineering, LLM evaluation, and vector databases (Pinecone, Weaviate, FAISS)., • Excellent communication skills and experience working cross-functionally. Benefits: The OneClickComply team are integral to the 100% customer satisfaction we have here, and as such we offer one of (if not) the best benefits packages for our team. ❤️‍🩹 Wellness & Healthcare • 👩‍⚕️ 24/7 GP appointments for you & family, • 🗣️ Unlimited counselling & mental health support, • 💪 Virtual gym classes & discounts, • 🦵 Virtual physiotherapy & 👁️ unlimited eye tests, • 🫰 Subsidised health insurance, • 🤝 Care & special needs advice, • 🐶 25% off video vet consultations 🗓️ Leave Entitlements • ✈️ 33 days paid annual leave, • 🏠 Unlimited leave (sabattical anyone?), • 🤢 10 days company sick pay, • 🎂 Paid day off for your birthday, • 🐹 Paid pet bereavement leave, • 🚸 Half-day off for your child’s first school day 💴 Financial Benefits • 🏪 4,000+ retailer discounts, • 📞 Personal finance advice, • 🥇 £1,000 monthly lottery, • 🎞️ 40% off cinema tickets, • 💹 Share options, • 🎽 Charity match donations, • 🚘 Driving Lesson Contributions, • 💵 Interest-Free Loans, • 🚂 Travel pass advances 🍕 Food & Social 🍹 Unlimited free drinks in the office (catered to you on request!) & 🍴 monthly team meals

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! We’re looking for a senior Applied Scientist to lead the design and experimentation of Wayve’s core pretraining datasets for foundation models in embodied AI. This is a high-impact opportunity to shape the data that drives model generalization across cities, embodiments, and reasoning tasks. You'll work across research, data, and engineering teams to build world-class multi-modal datasets and define how we evaluate and improve them at scale. • Lead the design, curation, and analysis of large-scale pretraining datasets for embodied AI, • Develop and run data-centric experiments to optimize training effectiveness and generalization, • Collaborate with cross-functional teams in London, Sunnyvale, and Vancouver on data architecture and strategy, • Define and implement metrics and benchmarks to assess dataset quality and model-data interactions, • Contribute to research outputs, tools, and processes that elevate data as a core lever for progress What you’ll bring to Wayve In order to set you up for success as a Senior Applied Scientist at Wayve, we’re looking for the following skills and experience. Essential • 3–5 years of experience post-PhD, or equivalent experience in industry with a focus on dataset design, multi-modal learning, or pretraining, • Strong applied research track record, including publications in venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, or similar, • Hands-on experience curating, filtering, and scaling large datasets (vision, video, or multi-modal) for machine learning models, • Proficiency with machine learning frameworks (e.g., PyTorch) and large-scale data processing (e.g., Ray, Spark, Flyte and other distributed compute infrastructure), • Ability to design and run scientific experiments to evaluate dataset impact on model performance, • Strong communication and collaboration skills, with experience working across technical and cross-functional teams Desirable • Experience with foundation model training pipelines and data selection for large-scale pretraining, • Familiarity with multi-modal, temporal, or sensor-rich datasets (e.g., video, LiDAR, text), • Contributions to benchmark design, data-centric evaluations, or open-source tooling for dataset experimentation, • Attractive compensation with salary and equity, • Immersion in a team of world-class researchers, engineers and entrepreneurs, • A unique position to shape the future of autonomy and tackle the biggest challenge of our time, • Bespoke learning and development opportunities, • Relocation support with visa sponsorship, • Flexible working hours - we trust you to do your job well, at times that suit you and your time, • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more! This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Graylog: Empowering Threat Detection, Investigation, & Response Solutions with Cutting-Edge Technology Graylog specialises in delivering top-notch Threat Detection, Investigation, & Response (TDIR) solutions, backed by our latest addition, the Graylog API security platform. As a renowned centralised log management (CLM) and Security Information Event Management (SIEM) provider, we offer unparalleled fast and efficient log analysis capabilities in critical areas such as security, compliance, operations, and DevOps. Our enterprise solution enables organisations globally to capture, store, and analyse terabytes of machine data in near-real time while our open-source product has been deployed in more than 50,000 installations worldwide, empowering individuals and small teams to perform basic log consolidation, analysis, and search functions at no cost. We're a remote-friendly company with locations in Hamburg, Munich, London, Boulder, and headquarters in Houston, TX. If you live near an office and want to be part of said office great. Nearish to an office and want to have the ability to hot desk? No problem, and if you're not near an office and wish to work remotely, all good! Recent achievements for Graylog have been inclusion in the 2021 Deloitte Technology Fast 500™, we took home two of the most prestigious cybersecurity awards in SIEM and DevSecOps from Cyber Defence Magazine at RSA in 2023, and 2024 saw us take home gold and become the Globee Winner for Security Information & Event Management and the 2024 Globee Winner for Threat Hunting, Detection, Intelligence, and Response. Graylog was named a “Leader” and “Fast Mover” in GigaOM’s 2024 Radar Report for SIEM and 2025 has seen Graylog recognized in BuiltIn’s 2025 Best Places to Work list. Who we’re looking for; The Inside Sales Representative here at Graylog will be a critical member of our team focusing on the bridge between marketing-created leads, as well as actively engaging in outbound prospecting to identify and nurture new business opportunities. As an Inside Sales Representative, your primary responsibilities will be to engage, develop, qualify, and expand our customer base regarding their Centralized Log Management, Security Information and Event Management, or API Security projects to increase sales pipeline. By responding to inbound contact requests with urgency, care, and diligence and conducting targeted, personalised, and relevant outbound prospecting with thoughtful personalized communications will ensure we maintain our strong positive brand image while maximizing sales opportunities. The goal of your work is to build early-stage relationships with software evaluators that ultimately turns into new business. You will be the first point of contact with our customers in the sales process. This position requires the need to be proactive, a desire to learn how to become a great salesperson, excellent written and verbal communication skills, and the ability to get others excited about using our tools to improve their business results. You will learn the ins-and-outs of both enterprise software Marketing and Sales processes, with a chance to grow your career along either line. The Inside Sales Representative will report to our Vice President & Managing Director, EMEA. • Qualify and develop inbound leads that result in pipeline opportunities. (50% conversion rate)., • Build strategic business opportunities through outreach efforts (8-12 per month)., • Immerse yourself within the world of CLM (Centralised log management), SIEM (Security information event management), API Security (Application programming interface), and build your knowledge base to gain credibility and interest when positioning Graylog to our customers., • Build market intelligence and foster client relationships through personalised, timely, and relevant messaging., • Identify projects and strategic initiatives for assigned accounts, why the initiative/ project is a priority now, and share how Graylog can meet the business and technical needs., • Analyse assigned top 10 accounts to identify key contacts & coordinate with Account Executives & Sales Directors to foster a strategic action plan., • Partner with other sales teams, marketing, and enablement to coordinate campaigns and align on new objectives in a timely manner., • Combine and orchestrate data from HubSpot, TechTarget, 6sense, and other related sales enablement technologies to identify priorities and promote effective outreach., • Experience successfully selling ROI-driven, networking/security solutions or Enterprise Software Solutions to C-level decision makers., • Previous experience selling SaaS solutions to commercial customers across the UK & EMEA., • Understanding and appreciation for continuous improvement. You will have a mindset of looking for ways to make things more efficient, look for opportunities to improve, and implementing the changes and measure your results., • Desire to move the needle! You’ll be motivated by exceeding goals and earning commissions, setting stretch targets and delivering exceptional results., • Personal responsibility. You’ll understand the personal impact actions have on pipeline and others. You’ll seek out knowledge and opportunities for learning and improving sales effectiveness., • Ability to communicate the technical and business value of Graylog solutions effectively to all prospective stakeholders., • Excellent written and verbal communication skills, strategic selling skills, and skills in analysing and evaluating territory dynamics to develop and implement a sales plan., • High energy, positive attitude, and willingness to try new approaches., • A desire to be #1 on the team., • Happy, willing, and prepared to work from our EMEA HQ in London (across the road from Liverpool Street Station) at least three times per week., • Willingness to travel 25% or as business needs require., • Opportunity to work with a globally distributed and diverse team., • Grow and develop professionally and personally in a fast-growing environment., • Choice of the latest equipment to help you succeed., • Monthly allowance to support your commute costs and support outfitting your work-from-home environment. Here at Graylog, you'll find a diverse group of experienced professionals who love to have fun while meeting the needs of our customers with the best solution and customer service available. Our values Openness- As a global company, we encourage our people to bring their backgrounds, ideas, and perspectives to our collective work. We lead with integrity and are committed to doing what is best for the Graylog community. Collaboration- Through mutual respect, trust, and candid communication across all teams, we deliver the best ideas and results. Useful Innovation- We take calculated risks to find new ways to innovate. By continuously improving ourselves, processes, and technologies, we deliver the best solution for our customers. Ownership- As owners, we take the initiative to solve internal and external problems while supporting peer success and holding ourselves accountable for delivering the best work. We do this from a place of high trust. Do the Right Thing!- Comfort and safety come from knowing that everyone will do the right thing, even when nobody's looking. For further information please submit an application and a member of the Graylog People Team will be in touch.

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. We're looking to add a Machine Learning Engineer to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle. StackAdapt is a remote-first company with teams around the world. Our teams work in a fully distributed environment, and we are open to candidates based in the UK, Ireland or Germany. This role will remain open until February 27, 2026. Applications will be reviewed on a rolling basis, and the posting will close once the deadline is reached. Want to learn more about our Data Science Team: _ Learn more about our team culture here: _ Watch our talk at Amazon Tech Talks: _ • Design modular and scalable real time data pipelines to handle huge datasets, • Understand and implement custom ML algorithms in a low latency environment, • Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently, • Have the ability to take an ambiguously defined task, and break it down into actionable steps, • Have deep understanding of algorithm and software design, concurrency, and data structures, • Experience in implementing probabilistic or machine learning algorithms, • Interest in designing scalable distributed systems, • A high GPA from a well-respected Computer Science program, • Enjoy working in a friendly, collaborative environment with others, • Highly competitive salary, • Retirement/ 401K/ Pension Savings globally, • Competitive Paid time off packages including birthday's off!, • Access to a comprehensive mental health care program, • Health benefits from day one of employment, • Work from home reimbursements, • Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto, • Robust training and onboarding program, • Coverage and support of personal development initiatives (conferences, courses, books etc), • Access to StackAdapt programmatic courses and certifications to support continuous learning, • An awesome parental leave program, • A friendly, welcoming, and supportive culture, • Our social and team events! StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: _ _ _ and by Great Place to Work® _ To learn more about our privacy practices, please see our . #LI-REMOTE

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as and bank accounts, we offer , , a and in the UK, with more exciting things to come beyond. Our UK customers can also , and _ with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £86,000-105,000 + | ✨ About us: At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core. Our range of borrowing products are critical to Monzo’s mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster. You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models. Our technology stack We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): • _ for all of our analytics usages, • and for our data modelling and warehousing, • PyData stack for model development and offline deployment, • Google Vertex AI platform for cloud computing, • _ for backend infrastructure, • Python for ML model microservices, • Go lang for most other microservices, • AI toolings for productivity (an evolving list), • Google suites including access to Gemini, • ChatGPT enterprise, • Claude code 🤩 You should apply if: • You are result oriented and motivated by the impact on our customers and business, • You enjoy a high degree of autonomy and thrive in a fast-paced environment, • You are keen to grow your knowledge in both business and technology 📌 You must have: • Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering, • In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc, • Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap, • Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry, • Great attention to details while keeping an eye on the big picture, • Excellent communication skills to articulate complex problems, • Capability to build mutual respect and trust with people of different background Nice to have: • Experience in UK/EU retail lending businesses for personal/business customers, • Experience of ML model governance in a regulated industry, • Experience in leverage modern day AI tools for productivity The Interview Process: Our interview process involves: • 30’ Recruiter Call, • 45’ Initial Call, • 60’ ML technical skill interview, • 60’ Behavioural interview All interviews will be conducted through Google Meet. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on _ What’s in it for you: 💰 £86,000 to £105,000 ➕ plus stock options & benefits ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London. 🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits _ #LI-DC2 #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2024 and 2024 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Who are OnBuy? OnBuy are an online marketplace who are on a mission of being the best choice for every customer, everywhere. We have recently been named one of the UK's fastest-growing tech companies in the Sunday Times 100 Tech list. All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed. Working at OnBuy: We are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving. At OnBuy, you're not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves. About the Role In this newly created role as Senior Performance Marketing Manager your primary responsibility is to maximise incremental GMV and contribution from Google & Bing Shopping/PMax through world‑class campaign architecture, feed intelligence, and efficiency control. Success is measured in incremental revenue and contribution/day, not ROAS. You are OnBuy’s deep technical expert across Google Shopping, Bing Shopping, Search, and PMax. You own and design the entire Shopping ecosystem end‑to‑end: structure, segmentation, labels, feed quality, bidding logic, Merchant Center health, and commercial optimisation. This is a hands‑on individual contributor role, not a strategist position. Key Responsibilities: Shopping & PMax Architecture Ownership • Own the full Shopping & PMax architecture, including:, • Campaign tiers & priorities, • Listing group design, • Custom label frameworks, • Negative structures, • Feed‑driven segmentation, • Ensure structural scalability across tens of thousands of campaigns and millions of SKUs, including automation of campaign creation, routing, and lane governance.”, • Control the interplay between PMax and Standard Shopping, ensuring optimal margin, traffic shaping, and signal control., • Design and maintain complex, feed‑driven segmentation frameworks for millions of SKUs, including product eligibility tiers, performance cohorts, and commercial signals., • Architect and manage multiple optimisation environments to ensure clean Smart Bidding signals, scalable growth across product groups, and controlled exploration., • Own CSS account strategy including bid separation logic, feed‑exclusion rules, and optimisation of commission/auction mechanics. Feed, Merchant Center & Diagnostics • Own full Merchant Center health: schema, feed rules, disapprovals, diagnostics, and error remediation., • Build and maintain advanced labelling systems for commercial signals, product scoring, seller quality, and activation logicTranslate commercial conditions (margin, fee bands, seller activation) into schema logic. Contribution & Incrementality Optimisation • Optimise towards incremental GMV and contribution, not ROAS., • Use propensity modelling outputs, EXTA parameters, decile segmentation, and SKU-level economics to shape structure and bids., • Lead the Daily Trading Room: identify opportunities, isolate issues, and deploy rapid interventions., • Work with Data/BI teams to operationalise performance‑based product movement rules, activation logic, and automated routing systems that dictate bidding exposure Efficiency & Wastage Reduction • Own wastage elimination across:, • Query sculpting, • Negative structure hygiene, • Asset group discipline, • Budget pacing rules, • Low-value SKU suppression, • Implement robust recovery and oxygen playbooks for campaigns requiring stabilisation., • Own campaign‑lane health: monitor lane density, merge/split structural segments as needed, and maintain strong learning conditions across very large SKU sets Measurement & Technical Leadership • Own and improve tracking approaches across PMax, Shopping Profit frameworks, and revenue tracking systems., • Ensure structure and tracking changes are documented, measurable, and repeatable., • Partner with Data Science to operationalise propensity segmentation., • Own end‑to‑end conversion tracking integrity, including server‑side conversions API, GTM audits, feed attribution, and ongoing monitoring of tracking capture rates vs internal GMV Vendor, Automation & Partner Governance Manage and commercially challenge third‑party Shopping vendors and automation partners, including audit of bidding decisions, versioned change‑history accountability, and validation of performance claims Essential • True super‑expert in Google Shopping & PMax: priorities, campaign types, listing groups, negative logic, feed rules, schema versioning, MC troubleshooting., • Deep Merchant Center expertise., • Experience operating in a multi‑million SKU marketplace environment, • Confident with contribution-based optimisation and rapid trading cycles., • Strong analytical capability and comfort with experimentation., • Hands‑on experience in e‑commerce/marketplace environments. Desirable • Familiarity with profitability modelling or dynamic pricing., • Experience with BI tools or SQL., • Experience with automation (scripts, feed tools). The salary on offer for this role is £75000- £85000 depending on experience. We also offer the following benefits: • Company Equity- In return for helping us to grow, we’ll offer you company equity, meaning you own a piece of this business we are all working so hard to build., • 25 days annual leave + Bank Holidays, • 1 extra day off for your Birthday, • Employee Assistance Programme, • Perks at Work benefit platform, • Opportunities for career development and progression This role is UK remote or if you live near our Manchester or Bournemouth's offices can be Hybrid. Our Commitment OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. Just a heads up — we never use WhatsApp. or any messaging apps to contact candidates.If someone reaches out this way, it isn’t us and let the recruitment team know.

At RemoteStar, we're currently hiring for one of our clients based in Houston, TX. Years of experience: 3 to 5 years Location: USA About Client: A fast-growing US-based SaaS company is transforming how energy firms manage operations. Their end-to-end ERP platform streamlines field data, production, finance, land, and compliance, delivering real-time insights and operational efficiency. With a strong client base and innovative tech, they’re redefining digital transformation in the energy and utilities sector. You’ll design and implement AI-driven functionality that improves automation and user experience. This includes leveraging LLMs, machine learning models, and modern AI tooling within a production SaaS environment. This is a hands-on role for someone who can move quickly, make pragmatic decisions, and bring AI concepts into real, scalable product features. Responsibilities • Design and implement AI-powered features within the platform (e.g., automation, recommendations, copilots) • Integrate LLMs and/or ML models into existing services and workflows, • Evaluate, select, and optimize AI tools, APIs, and frameworks for production use, • Collaborate with Product to translate business problems into AI-driven solutions, • Build and maintain scalable backend services to support AI functionality, • Profile, test, and optimize performance of AI-integrated systems, • Ensure reliability, security, and cost-efficiency of AI components in production, • Contribute to architecture decisions around AI integration and system design, • Partner with engineering teams to embed AI into existing applications without degrading stability Requirements • 3+ years of experience as a software engineer in a SaaS or cloud-based environment, • Strong backend engineering experience (RoR and/or Golang preferred), • Experience integrating APIs and working within distributed systems, • Hands-on experience with AI/ML tools (e.g., OpenAI, Anthropic, Hugging Face, or similar), • Experience building or integrating AI-powered features into applications (not just experimentation) • Strong understanding of data flow, system design, and performance optimization, • Experience with relational databases (SQL Server or similar), • Familiarity with microservices architecture, Kubernetes, and CI/CD pipelines, • Experience deploying applications in Azure or similar cloud environments, • Strong problem-solving skills with ability to work in ambiguous, fast-moving environments, • Builder mindset—someone who can take an idea and turn it into a working feature quickly, • Pragmatic approach to AI (focus on value, not hype), • Ability to work independently in a contract environment while collaborating closely with internal teams • Strong communication skills and ability to explain AI concepts to non-technical stakeholders Preferred • Experience with prompt engineering, embeddings, or retrieval-augmented generation (RAG) • Exposure to model evaluation, fine-tuning, or AI performance monitoring, • Experience with event-driven architectures or real-time data processing, • Background in energy, fintech, or other complex data-driven industries