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About the role An exciting opportunity for a Senior Solutions Architect! In this role, you will build and deliver quantum optimisation solutions for customer applications while working with delivery leads, applications developers, and other solutions architects within the professional services department. Additionally, you will work with our internal teams and external customers to review customer business problems, map these problems to D-Wave’s hybrid solvers and advanced quantum systems, formulate solutions, build and test prototypes, and build applications that run-in production for our customers. What you'll do • Build customer applications on the D-Wave quantum computer and internal tools, • Ensure successful delivery of projects to achieve business value for customers, • Communicate capabilities with customers and ask probing questions to understand the problem and propose solutions, • Gather requirements on customer use cases, lead brainstorming sessions, consult with customers on potential solutions, model use cases mathematically, and design and develop quantum hybrid applications, • Build and maintain relationships with leaders across various groups within D-Wave, • Share customer and project-related insights with D-Wave's tools and product teams and help prioritize new product features, • Organize, prepare, and present technical information in a clear and effective manner, • Participate in the development of an inclusive, helpful, fun environment About You • Masters, PhD, or equivalent in Operations Research, Data Science, Mathematics, Statistics, Computer Science, Physics, or related technical field preferred, • A professional with 5+ years experience with Python. Knowledge of NumPy, Pandas, Scikit-learn, and Networkx is an extra bonus!, • Experienced working directly with external customers (ideally in a consulting role) to identify requirements and consult on solutions to complex business problems, • Experienced using leading optimisation tools (e.g., CPLEX, Gurobi, etc.), • Practical with a view of what it means to solve customer problems, with a strong sense of urgency and an understanding of project delivery requirements, • Strong knowledge of mathematical modeling and optimisation solution techniques, • Experience with a version control software such as Git, • Experience building applications to solve complex business problems for customers in a production environment, • Collaborative mindset and solid interpersonal skills, • Passionate for writing state-of-the-art Python code, • Experience providing technical leadership from business problem definition, functional requirements specifications, to solution design and implementation, • Proven record of successful on-time delivery of projects with a high degree of predictability and quality, • Preferably experienced within industries such as Manufacturing, Logistics, Retail, Services A D-Waver's DNA • We look at the future and say “why not”; we see possibilities where others see problems or routines. We show the way ahead and are committed to achieving ambitious goals., • We practice straight talk and listen generously to each other with empathy. We value different opinions and points of views. We ensure that we connect outside as well as inside to learn from others and inspire each other., • We hold ourselves accountable for delivering results. We make decisions & take responsibility so that we can act & support each other., • As leaders we motivate & engage our teams to undertake beyond what they originally thought possible, by developing our teams & creating the conditions for people to grow and empower themselves through enabling & coaching. Our Compensation Philosophy is Simple but Powerful: We believe providing D-Wavers with company ownership, competitive pay, and a range of meaningful benefits is the start of creating a culture where people want to give the best they’ve got — not because they’re simply making money, but because they’ve fallen in love with our vision, mission, values, and team. During the interview process, your Recruiter will review our total rewards (base, equity, bonus, perks, benefit, culture) . The final offer is determined by your proficiencies within this level. Inclusion: We celebrate diverse perspectives to drive innovation in our pursuit. Our employees range from distinguished domain experts with decades of experience in their respective fields, to bright and motivated graduates eager to make their mark. Our diverse and innovative team will make you feel appreciated, supported and empower your career growth at D-Wave. The Fine Print: No 3rd party candidates will be accepted It is D-Wave Systems Inc. policy to provide equal employment opportunity (EEO) to all persons regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state/provincial, local law.

Job Title: AWS Data Engineer Contract: 6 Months Location: Remote, UK Skills: • Advanced knowledge of data management tools including SQL/DBMS, MongoDB, Hadoop and/or other big data technologies., • Advanced programming skills in Java, Python, R, C++, C#, etc. Knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.)., • Experience with data visualization tool is plusExposure to online, mobile, and social data is a plus. Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions., • Ability to independently own and drive model development, balancing demands and deadlinesStrong people skills, team-orientation, and a professional attitude., • Our Advanced Analytics teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data., • Must Have: Enterprise Knowledge Data Management, Data pipeline, Python, SQL, AWS, • Centralising data stored in RDBMS, Data Ingestion, and Uploading data into the database. Education: Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus

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. 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? • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs., • 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.

Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; _ Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that scale impact across the company. Airalo’s fully remote Data team is growing. You’ll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn’t just dashboards - it’s using data to drive strategy, inform product and growth decisions, and create real impact. You’ll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. YYou will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third-party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co-owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real-time data capabilities as the business matures beyond batch processing Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem-solving to structured, agile delivery. Oversee the maintenance and optimization of high-performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company-wide goal of 80% self-serve analytics. 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low-maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real-time event processing. Experience in marketplace, B2C, or high-volume transactional businesses. Previous work in globally distributed data environments (multi-currency, multi-region, multi-language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: _ We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we use AI-assisted tools as part of our recruitment process. Your application will be reviewed using tools that help our recruiters analyze and organize CV information. These tools support, but do not replace, human judgment; all hiring decisions are made by humans. If you progress to an interview, we may use tools to generate AI-assisted notes - you can opt out of these. For more information on how we handle your data, please see our Privacy Policy: https://www.airalo.com/more-info/privacy-policy.

Kappa Lab is a digital assets market maker committed to delivering 24/7 deep liquidity and enhancing market efficiency. Our proprietary technology enables us to provide swift and effective solutions to our partners, while our sophisticated algorithms ensure efficient and consistent pricing across all trading venues. We fuel the Web3 ecosystem, driving innovation in pioneering projects with the professionalism and dedication of our exceptional team. Description As a Quant Developer at Kappa Lab, you will be working within a trading team, playing a pivotal role in translating quantitative trading strategies into operational algorithms and production-grade code. You will be working at the forefront of the rapidly evolving world of cryptocurrency trading. This position demands a blend of problem-solving skills, adaptability, and collaborative teamwork. If you possess a strong background in programming, excellent analytical skills, and an interest in the crypto markets, we want to hear from you! We offer a hybrid working arrangement, with the opportunity to be based in either our London or Dubai Office. Responsibilities • Design, develop, and implement high-performance trading algorithms and systems for cryptocurrency markets, ensuring they align with quantitative strategies and market-making objectives., • Optimize code for speed, reliability, and scalability to handle high-frequency trading environments and large-scale data processing., • Analyze market data, liquidity patterns, and order book dynamics to improve algorithm efficiency and pricing models., • Improve reporting and analysis of the existing system's performance. Required skills • Proficiency in Python., • Strong understanding of data structures, algorithms, and software design principles., • Experience with data analysis and manipulation using libraries like NumPy, Pandas, or similar tools., • Good knowledge of probability, statistics, and quantitative modeling techniques., • Familiarity with cryptocurrency markets, blockchain technology, and trading concepts (e.g., order types, liquidity provision)., • Excellent problem-solving skills and the ability to work effectively in a fast-paced, team-oriented environment. Desirable skills • Proficiency in Rust and/or Cython.., • Experience in high-frequency trading (HFT), market making, or algorithmic trading in crypto or traditional finance. Kappa Lab is an equal opportunites employer committed to creating an inclusive and diverse workplace. We welcome applications from all individuals and do not discriminate based on race, colour, nationality, ethnicity, religion or belief, sex, sexual orientation, gender identity or expression, marital status, pregnancy or maternity, disability, or age. We value and respect the unique contributions each person brings, and we strive to ensure that everyone can thrive and grow within our organization.

📈 Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures,, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We’re scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we’re not just building another energy company, we’re rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. 🏅 The Role: Rosso is tem's core IP, the transaction infrastructure that prices electricity for thousands of businesses, balances portfolios in real time, and sits on the critical path for every deal tem closes. Machine learning is at the heart of Rosso, combining forecasting, optimisation and classical ML to process billions of data points and drive thousands of automated decisions a day. Every inference shapes the prices our customers see, so you can immediately see the impact of your work. We have proved the concept with MVPs and POCs to grow to 2% of the UK market. Now we want to take it to the next level and build towards a state of the art solution, to fuel our expansion in the UK and take Rosso international. We're looking for a Senior Staff Machine Learning Engineer to lead pricing ML within Rosso, building a platform that proactively drives growth by targeting the right customers to sign at the right time. Your primary focus will be the pricing engine, which sets the fees added to every quote tem serves, carefully balancing growth and margin. You will also contribute to the systems which manage both short and long-term imbalance decisions to determine how tem deals with it’s exposure across its portfolio. This is a hands-on, senior individual contributor role with significant technical leadership and organisation-wide influence. You will work closely with other MLEs, software engineers and MLOps to bring models to production, and carry real ownership of the technical direction and accountable for its performance. The right person is energised by the greenfield environment: comfortable taking on ambiguity and able to make progress before the path is fully defined. They have built pricing systems that worked and have learned from the times it hasn't. They'll bring that hard-won judgment to a system where the foundations are still being laid, and where early decisions compound. Success will be turning our current reactive system into a pricing engine which proactively drives growth by targeting the right customers to sign at the right time. 🚀 Responsibilities: Own the technical direction for pricing ML: Define what to build and how within the pricing engine, setting the strategy and roadmap for pricing machine learning as a core piece of tem's IP. Build ML systems for price optimisation: Design and implement models that dynamically set prices, balancing the trade-off between signing probability, portfolio balance and margin maximisation. Solve imbalance problems: Develop probabilistic models to optimise risk management and short-term balancing decisions in a highly dynamic environment. Bridge modelling and production: Own the modelling and data layer while working closely with software engineers and MLOps to ensure models are architected for production, contributing to system design decisions that affect performance and reliability. Communicate pricing decisions clearly: Articulate model behaviour, assumptions, and trade-offs to other technical stakeholders so that pricing decisions are understood across the teams that depend on them. 🎯 Requirements: Must-haves: Deep experience building ML systems for pricing, revenue optimisation, or decision-making under uncertainty, with a track record of models that went from concept to production and delivered measurable commercial impact. Strong foundation in stochastic optimisation and probabilistic modelling, with the judgement to formulate ambiguous business problems as the right mathematical approach rather than reaching for familiar tools. Proven first-principles reasoning: you choose between stochastic programming, classical ML, reinforcement learning, or a simple heuristic based on the problem, not the technique you know best. The engineering craft to match your modelling depth: production-grade Python, a high bar for code quality and system design, and the ability to work alongside software engineers as a technical peer across the full ML lifecycle. Senior technical leadership in ML: a track record of setting direction for a significant technical area, influencing cross-functional teams, and translating complex model decisions into clear terms for commercial, product, and engineering stakeholders so they are understood and acted on. Bonus points: Experience with reinforcement learning or causal inference in applied, commercial settings. Familiarity with energy markets, power trading, or portfolio management. PhD or equivalent research depth in a quantitative discipline (statistics, applied mathematics, physics, operations research, or similar). Ability to reason about the trade-offs between optimisation solvers (Gurobi etc) and gradient-based ML methods (PyTorch etc), and the judgement to know when to reach for each. Experience working with high data throughput systems in production. 🗣️ Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Head of Data (60 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with the Team (90 mins). You'll meet with potential peers in this session and work through a live technical exercise. Culture-Add Interview with Stakeholders (45 mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.

Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research. Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit or follow MMS on . Senior Statistical Programmer Job Specific Skills: • Mastery and trained on generating tables, listings, and graphs from clinical trial databases using SAS., • Utilizes System Development Life Cycle (SDLC) for programming deliverables., • Advanced user in SAS programming, SAS Base, and SAS Macros., • Advanced knowledge of E-Submission Standards, Guidelines and Regulations., • Mastery and trained on SDTM standards including ability to write specifications., • Advanced knowledge of ADaM standards including supporting specification writing., • Proficient with MS Office applications., • Advanced knowledge of ICH, 21CRF Part 11, and ISO 9001:2000 requirements., • Advanced experience with pooling of data sets for submissions., • Advanced experience with BIMO outputs, define.xml, Reviewer's Guides, SDSP., • Lead study or small programming project teams. Job Requirements: • Masters required for all Statistics roles., • Minimum of 5 years’ experience in Statistical Programming or similar field required., • Expert knowledge of scientific principles and concepts., • Reputation as emerging leader in field with sustained performance and accomplishment., • Proficiency with MS Office applications., • Hands-on experience with clinical trial and pharmaceutical development preferred., • Good communication skills and willingness to work with others to clearly understand needs and solve problems., • Excellent problem-solving skills., • Good organizational and communication skills., • Familiarity with current ISO 9001 and ISO 27001 standards preferred., • Familiarity with 21 CFR Part 11, FDA, and GCP requirements., • Basic understanding of CROs and scientific & clinical data/terminology, & the drug development process. Should you not have received a response within 14 days of your application, please consider your application unsuccessful.

Senior Data Analyst (Statistical Programming) Celerion is committed to swift, exceptional clinical research through translational medicine. Every day, we use our experience, agility, and innovative research strategies to help get drugs to market faster. Are you looking for an opportunity to support a business creating life-saving treatments? If so, we can't wait to meet you! About the RoleCelerion is seeking a Senior SAS Data Analyst to join our Data Management and Biometrics team in Belfast, Northern Ireland to provide statistical programming support for early-phase clinical research. In this role, you will independently design, develop, maintain SAS programs to support the analysis and reporting of clinical trial data. The Primary Responsibilities of this Position Are:- Independently develop, maintain, and process SAS programs for clinical studies, creating analysis data packages (ADaM), statistical analyses, data listings, tables, and figures.- Perform peer QC, double programming and validation functions for statistical outputs from studies.- Lead statistical programming activities on studies and deliverables. - Assist Management and Biostatisticians with complex projects.- Design and implement SAS programs for standardized use.- Train and mentor junior programmers.- Ensure compliance with statistical analysis plan and departmental procedures. • Minimum of a Bachelor’s Degree in Statistics, Mathematical Science, Physics, or Computing related field., • 4+ years of SAS® programming experience in a CRO or Pharmaceutical industry., • Proficient in Base SAS, SAS Macros, SAS/STAT, SAS/Graph, SAS/ODS., • Experience applying CDISC requirements to generate ADaM datasets and supporting documentation (_, Reviewer’s Guides), demonstrating proficiency in these areas., • Excellent interpersonal skills., • Strong problem-solving and decision-making abilities., • Demonstrates a high level of attention to detail., • Demonstrated ability to work collaboratively as part of a team., • Familiarity with R, Python, and other programming languages preferred. Celerion are an equal opportunities employer

Job Description - Quality Assurance Analyst Remote (UK, Germany, Netherlands) Please submit applications by 31st July 2026 About Us Motorsport Games is a racing game developer, publisher and esports ecosystem provider of official motorsport racing series, including the iconic 24 Hours of Le Mans endurance race and the associated FIA World Endurance Championship (the “WEC”) which we represent in our recent release Le Mans Ultimate on PC. Our portfolio also includes the KartKraft karting simulation game, as well as Studio 397’s previous title rFactor 2 - a realistic racing simulator technology and platform. rFactor 2 also powers F1® Arcade through a partnership with Kindred Concepts. Our purpose is to make the thrill of motorsports accessible to everyone by creating the highest quality, most sophisticated and innovative experiences for racers, gamers and fans of all ages. Our products and services target a large global motorsport and video games audience. We are also striving to become a leader in organising and facilitating esports tournaments, competitions, and events for our licensed racing games. We create and own the technology for RaceControl, a unique system that powers skill-based matchmaking, statistics and server management (amongst other) behind our titles, whilst also offering an optional subscription. Job Summary Studio 397 and Motorsport Games are looking for a meticulous and dedicated Quality Assurance Tester to join our development team working on our latest title, Le Mans Ultimate, the official game of the FIA World Endurance Championship and the 24 Hours of Le Mans – a racing simulation available on PC and planned to release on current generation PlayStation and Xbox consoles by end of 2026/early 2027. We are looking for an experienced QA Analyst to help ensure the quality, stability, and overall player experience of our game titles. In this role, you will be responsible for identifying, documenting, reproducing, and tracking software defects while working closely with developers and designers to verify fixes. You will also take ownership of testing new game features, creating and executing test plans, coordinating testing efforts, and ensuring features are thoroughly validated before release. Your attention to detail, proactive approach, and passion for gaming will play a key role in delivering polished, reliable, and enjoyable experiences for our players. This role is remote but only open to applicants based within the UK, Germany or the Netherlands. Responsibilities • Conduct thorough functional, regression, compatibility and exploratory testing across game features, systems and content to identify defects and ensure a high-quality player experience., • Accurately document, prioritize, and track bugs using Jira, providing clear reproduction steps, supporting evidence and detailed reports, • Work closely with developers, designers, producers, and other QA team members to investigate, reproduce and verify issues, ensuring defects are resolved efficiently., • Take ownership of the testing process for new game features, creating comprehensive test plans, executing test cases and driving features through to release readiness., • Develop, maintain, and continuously improve test plans, test cases, and testing strategies for both new and existing game features., • Participate actively in sprint planning, feature reviews, stand-ups, and team meetings, helping to define testing priorities and release readiness., • Provide constructive feedback on gameplay, usability, user experience, and game design from a player-focused quality assurance perspective., • Assist in the creation and maintenance of QA documentation and testing procedures., • Stay updated of the latest game testing methodologies, tools, and industry best practices, sharing knowledge with the wider QA team where appropriate. Essential Skills and Experience • Proven experience in quality assurance testing within the gaming industry and has worked previously on racing games., • Strong understanding of game development processes and the software development lifecycle., • Excellent analytical and problem-solving skills with a keen attention to detail., • Proficiency in using bug tracking tools and software., • Strong communication skills, both written and verbal, with the ability to work effectively in a team environment., • Console Familiarity: Hands-on experience playing and testing on modern gaming consoles (PS5, Xbox Series X/S) Personal Qualities • Passion for video games and a deep understanding of various gaming genres and platforms., • Right to work and remain within the UK, Netherlands or Germany, • Strong English Skills both written and spoken., • A passion for Motorsport, • Exceptional verbal communication skills

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.

Job Description- Senior Vehicle Artist Remote (UK, Germany or the Netherlands) About Us Motorsport Games is a racing game developer, publisher and esports ecosystem provider of official motorsport racing series, including the iconic 24 Hours of Le Mans endurance race and the associated FIA World Endurance Championship (the “WEC”) which we represent in our recent release Le Mans Ultimate on PC. Our portfolio also includes the KartKraft karting simulation game, as well as Studio 397’s previous title rFactor 2 - a realistic racing simulator technology and platform. rFactor 2 also powers F1® Arcade through a partnership with Kindred Concepts. Our purpose is to make the thrill of motorsports accessible to everyone by creating the highest quality, most sophisticated and innovative experiences for racers, gamers and fans of all ages. Our products and services target a large global motorsport and video games audience. We are also striving to become a leader in organising and facilitating esports tournaments, competitions, and events for our licensed racing games. We create and own the technology for RaceControl, a unique system that powers skill-based matchmaking, statistics and server management (amongst other) behind our titles, whilst also offering an optional subscription. Why Join Us This is an opportunity to join the team at an exciting point in the evolution of our projects and contribute at a senior level to the creation of high-quality, officially licensed motorsport content. As a Senior Vehicle Artist, you will play a key role in maintaining and raising visual and technical standards across vehicle production, working closely with our internal team and external partners to deliver highly accurate, performance-optimised assets. Your experience will help shape best practices, support consistency, and contribute to the ongoing development of our vehicle art pipelines. Alongside hands-on asset creation, you will have the opportunity to mentor others, share knowledge, and help refine workflows as our projects and teams continue to grow. You will collaborate closely with production, licensing and technical stakeholders to ensure vehicles meet creative, technical and approval requirements. This role offers a balance of craft, responsibility and influence, working on motorsport titles where authenticity, realism and attention to detail are central to the player experience. This role reports to the Executive Producer, who is responsible for the day-to-day delivery of the project. The Senior Vehicle Artist will work closely with the Executive Producer to align vehicle art production with project priorities, schedules and quality expectations, providing input on scope, progress and risks within the vehicle art discipline and supporting effective cross-team collaboration. The Role Studio 397 and Motorsport Games are looking for a highly skilled Senior Vehicle Artist to create stunning 3D representations of cars in our latest title, Le Mans Ultimate, the official game of the FIA World Endurance Championship and the 24 Hours of Le Mans – a racing simulation available on PC and planned to release on current generation PlayStation and Xbox consoles by end of 2026/early 2027. We are looking for an experienced vehicle artist with a video games background that can help us bring incredible race cars to life in our custom graphics and physics engine. This role is remote but only open to applicants based within the UK, Germany or the Netherlands. The successful candidate will be responsible for creating high quality motor racing cars in 3D modelling tools, focusing on visual output, technical quality and a high level of accuracy to the real life counterpart. Your technical and practical abilities will be well developed, and you’ll be able to grasp new concepts and programs quickly, as well as participating in R&D of new techniques to implement into the production pipeline’. Responsibilities • Be responsible for recreating real life car models as close to reality as possible, • Work and clearly communicate with a small internal art team to create exceptional art, • Where required, work with external artists to supplement the internal team, • Utilise CAD and photographic references, • Work with existing documented methods bur also push the team forward with new techniques and other ways to improve, • Liaise with licencing teams to get models approved by licensors, • Optimise models to ensure best performance, • Mentor other artists as a senior member of the team Requirements • In order to be considered for this role, you must provide a portfolio showing wireframes and uvw layouts of vehicle modelling examples fit for video game usage, • Strong English Skills both written and spoken., • Have a portfolio demonstrating your skills and experience in 3D modelling for vehicle art, • 5+ years of professional game development experience, • Experience of recreating real life motorsport environments for real time video games., • Excellent Modelling, UVW and Texturing skills., • High levels of competence with 3ds Max or Blender, Photoshop and Substance packages., • Experience creating photo realistic materials (not stylised)., • Ability to work well self-directed, • A high level of attention to aesthetic detail., • A passion for motorsport, • Exceptional verbal communication skills, • Ability to work with a wide range of stakeholders both internal and external, • Experience of working within a high-pressure environment with tight deadlines

1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you’re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Location: We prioritise candidates who are based in Dubai then consider those working remotely in one of our European Hub Locations (UK, Spain or Germany). We are seeking a talented Data Scientist with focus on product analytics to join our Data & Analytics team and drive data-driven decision making across our organisation. In this role, you will analyse complex datasets, conduct research, and provide valuable insights to support product strategy and business growth. You must have Data Science experience. • Analyse and interpret large-scale on-chain and off-chain datasets to inform business decisions, • Design and maintain data collection processes and event storage systems, • Conduct research to identify patterns, trends, and growth opportunities, • Create intuitive dashboards and data visualisations for internal teams and external partners, • Propose and test hypotheses with empirical evidence, • Monitor and evaluate product metrics and user behaviour patterns, • Present findings and recommendations to stakeholder, • 3+ years of experience in data/product analytics, • BS in Computer Science, Engineering, Statistics, or related field, • Design and maintain data collection processes and event storage systems, • Conduct research to identify patterns, trends, and growth opportunities, • Experience creating intuitive dashboards and data visualisations for internal teams and external partners, • Excellent communication skills with ability to present complex findings to diverse stakeholders, • Proficiency in creating data visualizations and building analytical dashboards (Mixpanel, Metabase), • Intermediate SQL, Python knowledge, • Familiarity with A/B tests and Casual Inference, • Understanding of product analytics and user behaviour analysis, • Crypto/Web3 analytical stack (Dune, Nodes, Flipside), • Low level blockchain data understanding (traces, events), • Experience in uncovering business-driving data insights, • Join a young, creative team in a fast-paced and supportive environment, • We’re open to new ideas — if you’ve got a vision, pitch it and make it happen, • Enjoy competitive pay that matches your skills and experience, • Be part of a company that’s shaping the future of DeFi, • Take time when you need it — we offer unlimited vacation days, • Get fully compensated for your work gear — we’ll set you up for successWe 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.

🚀 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 😊

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.

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds…. ClinChoice is searching for a Senior Statistical Programmer Consultant to join one of our clients in CVRM team. ClinChoice is a global full-service CRO with a strong focus on quality, professional development, and supportive culture. As a client-facing role, we are looking for confident candidates with the ability to work independently whilst establishing a high-trust environment with the client’s counterparts. Main Job Tasks and Responsibilities: The Senior Statistical Programmer Consultant is a delivery-focused role who works under the leadership, oversight, and direction of a Programming team leader to lead and/or support aspects of the programming effort to deliver technical programming and information components of a project. This position requires high technical skills and thorough industry knowledge to independently perform the Programming tasks Key Requirement: • Strong SAS programming experience within the pharmaceutical/CRO industry, • Hands-on experience supporting CVRM (Cardiovascular, Renal & Metabolism) studies, • Experience in generating and validating SDTM, ADaM, and TLFs, • Good understanding of CDISC standards and clinical trial processes, • Ability to work independently and manage multiple priorities in a fast-paced environment, • Experience supporting regulatory submissions is preferred, • Strong communication and stakeholder management skills Responsibilities: • Develop, validate, and maintain SAS programs for clinical study data analysis and reporting, • Create datasets, tables, listings, and figures according to study requirements, • Collaborate with Biostatistics, Data Management, and Clinical teams, • Ensure programming deliverables meet quality standards and project timelines, • Participate in study planning, review specifications, and support submission activities Education and Experience: • Bachelor’s degree in computer science (CS), statistics, or related scientific disciplines with 5 yrs. of clinical programming (CDISC) experience; Master’s degree in CS, statistics or related disciplines with 6 yrs. of clinical programming (CDISC) experience., • Need to have Respiratory/Immunology TA experience., • Working knowledge of ICH and Good Clinical Practices, Clinical research, Clinical trial process, and related regulatory requirements and terminology. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #Senior #Contract

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.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The Fraud Strategy & Analytics team works cross-functionally with Machine Learning, Product, Engineering, and Operations to combat fraudulent activities and to foster a safe platform. We're looking for a new team member to help lead our team’s fraud monitoring and detection efforts and own fraud escalations as we scale internationally. Additionally, this role will work closely with our cross functional partners to help develop our fraud detection and decisioning systems. • Develop strategies for monitoring and preventing fraud across our network, advising on best practices and ensuring the strategies align with risk management goals., • Leverage advanced data analytics to identify loss drivers, derive insights and optimize fraud management strategies, • Report on fraud trends and loss drivers to cross functional partners and senior management, • Quickly respond to fraud rings and ensure issues raised by other teams are addressed in a timely manner, • Work together with our operations team to help limit losses and ensure optimal review volumes, • Assist with evaluation and development of new external or internal features/signals to improve our fraud detection capabilities, • Assist with team planning and goal setting as well as coaching and mentorship of more junior team members, • 7+ years of experience in Fraud Management or a related field preferred with a prior emphasis on analytics., • Product knowledge - Passion to understand how the product works and how to change it to make it more effective, • Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity, • Ability to work later starts several days a week so as to allow for increased overlap with US based colleagues., • Technical skills - Extensive experience writing and analyzing SQL queries; comfort using python or other scripting languages for data analysis, • Communication - Ability to build strong cross functional partnerships and work with a diverse range of teams across the organization. Ability to communicate analyses and recommendations clearly to both technical and non-technical audiences, • Multi-tasking - Strong time management skills and the ability to shift focus on a moment's notice to respond to changes in fraud pressure and tactics, • Industry knowledge - Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development., • Bachelor’s degree, or local equivalent, in a quantitatively rigorous field like engineering, statistics, math, finance, economics desired Pay Grade - O Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). GBR base pay range per year: £133,000 - £173,000 Location - Remote UK #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents, • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses, • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge, • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's _ and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

RISK DATA SCIENTIST (ESG & Supply Chain) £70,000 + BENEFITS PRIMARILY REMOTE Make a real-world impact in an industry that needs smarter, more sustainable solutions. This role would suit someone who enjoys end-to-end ownership, communicating with non-technical stakeholders, and building models from scratch using Python and SQL. THE COMPANY: I'm working with construction tech company that's making a real impact in ESG, supply chain risk, and sustainability. This is a hands-on, high-impact role where you'd work closely with a small, collaborative product team-shaping how financial, ESG, and supply chain data is turned into actionable insights. THE ROLE: This client are hiring a Risk Data Scientist to take full ownership of modelling efforts across their core risk platform. A Data Scientist (Risk) will need to: • Take end-to-end ownership of risk modelling across financial, ESG, and supply chain data, • Design and implement models from scratch using Python and SQL, • Collaborate closely with the cross-functional product team, • Contribute to GenAI-powered reporting tools YOUR SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills and experience: • Solid experience in risk modelling, • Strong Python and SQL skills, • A solid foundation in Statistics and ML., • Experience with end to end product ownership THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Senior Machine Learning Engineer UK or Poland (Remote or Hybrid, it’s up to you!) Dependent on experience Be part of our success with the opportunity to join our company equity scheme Our Perks ❤️ Monthly Health & Wellness budget, increasing with length of service Annual Learning and Development budget, increasing with length of service ‍♂️ Flexible working in a choice-first environment - we trust the way you want to work! ️ Work From Home Allowance 25 Holiday Days + your local bank holidays, plus an extra day for every year of service Your birthday off Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave ⚕️ Optional Healthcare Plan Life & income protection (Location dependent) Employee Assistance Programme (UK Only) The opportunity to share in the company’s success through options If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace ‍♀️ The Role ‍♀️ Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We're hiring a Senior Machine Learning Engineer to join the team and help build and ship the next generation of that stack. What you'll be doing: Unlike many companies, we use our own custom models, specialised for customer feedback, across various parts of the stack: extraction, retrieval, reranking, summarisation, and sentiment analysis. We are also pragmatic and understand that the right solution can be a combination of off-the-shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all. This means you will: Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire. Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance, and automate checkpoint comparisons. Improve and extend semantic search and retrieval, evolving from embedding-based approaches toward more advanced methods. Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. Mentor team members, review code and research, and bring relevant advances from the literature into the product. What you’ll need: A deep working knowledge of transformer architectures. Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning techniques such as LoRA Extensive experience working with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search. Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution. Practical experience building with GenAI and agentic patterns. Excellent communication skills and confidence translating complex technical concepts for non-technical audiences (and vice versa!). Technical curiosity and a keen interest in AI – a love of experimenting to make the most of available technology. High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward. ➕It would be a bonus if you: MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field. Experience with reinforcement learning techniques, such as with verifiable reward (RLVR) Our Hiring Process Let’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step. Get to know your would-be manager – you’ll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience. Show us how you work – you'll complete a short take home assignment Get to know your would-be team – You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams. How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth. Our Values We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach. We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust. We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us. We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively. We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly. We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today! Diversity & Inclusion We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply! #machinelearning #machinelearningscientist #seniormachinelearningscientist #datascience #machinelearningengineer #seniormachinelearningengineer #deeplearning #LLM #ML #data #AI #PyTorch

Are you a Geospatial Data Engineer Volunteer wanting to use your skills to help people in a humanitarian crisis and ultimately help save lives? MapAction can enable you to volunteer to do just that. Volunteers have been the heart of the MapAction for over 20 years but the range of skills needed continually evolves. Now we are looking for a enthusiastic Geospatial Data Engineer professional who has a desire to commit to a great team, and to help MapAction make a difference that has a lasting effect on vulnerable communities. MapAction works with a range of humanitarian partners, from local organisations who are closest to the ground to a range of global UN partners. Come and be part of something that is exciting and impactful! Why MapAction? MapAction is a leading humanitarian mapping charity, delivering information services and products to enhance decision making in disasters and conflicts. In collaboration with our partners, this mapped information helps responders understand vulnerabilities and target their response effectively, contributing to saving lives and minimising suffering. We work through a team of skilled volunteer professionals and a small paid staff team. We have built a strong reputation in the humanitarian sector, and are a technical partner of the United Nations, Non-Government Organisations and Civil Society Organisations, the Red Cross, Red Crescent Movement, regional entities and national authorities. The humanitarian sector is evolving, and technical expertise such as GIS, mapping, information management, data processing and visualisation are becoming increasingly utilised for improving decision making in complex humanitarian response. MapAction and our partners are uniquely positioned to provide technical expertise in support of this. As a volunteer, we will be able to work with technical staff and volunteers on different opportunities. Once your onboarding is complete, you will be able to choose the tasks and projects that best fit your skillset and interests. Here below some activities that our data engineer volunteers can support with: • MapAction external projects that require a Data Engineer skillset (e.g.: data pipeline automation, hazard exposure platforms, multi-risk models, conflict incident reporting, etc…), • Work with external partners such as UN agencies, International NGOs and Academic Institutions, • Conduct and automate data collection and processing scripts, • Create and maintain optimal, performant data pipeline architectures, both internally and externally, • Propose improvements to infrastructure, schemas, platforms, toolchains and configurations, • Assist in the automation, provision and management of development environments, source-code, build-tools, pipelines and deployments, • Support ad-hoc Data Processing during MapAction’s Emergency Responses in collaboration with MapAction’s GIS team, • Support internal systems maintenance in collaboration with MapAction’s IT Support Engineer, • Attend and / or represent MapAction on technical conferences, • Train other volunteers or external organizations on Data Engineer tools and processes What are we looking for? If you feel you are a good match but do not feel like you meet all the requirements, we are still happy to receive your application! The core skills we look for in all of our team members are the following: • A desire to use their skills, experience and dedication in the cause of humanitarian ends, • Good team player with leadership and/or project management experience or ambition wherever possible, • Exceptional communication skills, to explain your work to people who don't understand the mechanics behind data analysis, and experience in understanding partner needs and requirements, in particular working with non-technical clients, • Adaptable, resilient and solution-oriented, • Self-motivated and organised, • Time to commit to MapAction, for more details on the time commitment, please refer to the “What does it mean to be part of the MapAction team?” Essential: • Degree or equivalent experience in the field of Data Science, Data Engineering, Computer Science, Software Development, Information Technology or a related field, • Three or more years of professional experience working in a data or information management team, as a data engineer, data scientist, developer or other similar role, • Experience and proficiency working with Python and Jupyter Notebooks, • Data pipeline design skills, • Knowledge of cloud platforms like GCP, AWS or Azure, • Experience and understanding of CI/CD pipelines, • Project management experience. Experience in understanding partner needs and requirements, in particular working with non-technical clients., • Collaborative code management using Git & GitHub Desirable: • Experience of participating in a volunteer organisation or open source projects., • Experience with QGIS or ArcGIS, • Experience working with geospatial data (raster and vector), • Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs), • Experience with Systems Engineering, • Understanding of the Software Development Life cycle, • Thorough grounding in containerisation e.g. Docker, Kubernetes, • Shell scripting, • An interest in software-engineering or data-science e.g. ML / DL / AI / Statistics, • Humanitarian knowledge/experience What does it mean to be part of the MapAction team? Being part of MapAction means entering a close-knit community of highly skilled and committed and experienced professionals in different sectors. It means using your unique skills to help prepare for, anticipate, or respond to humanitarian emergencies, enabling our partners to provide life-saving support. At MapAction, training and team building are at the heart of our organisational culture. We have frequent meet-ups online and in person where paid staff and volunteers get together for training opportunities and skill-sharing, to strengthen our service offer. As a volunteer, you can participate in all levels and areas of the organisation, working alongside our colleagues at various UN agencies and/or other humanitarian partners. Volunteers also steer the organisation's strategic direction and are involved with designing and implementing our operational capacity. You will have the opportunity to travel, whether that’s at training events, project work abroad, missions or representing MapAction at a conference. Availability for projects, including in-person deployments • MapAction expects a high level of commitment by volunteers to make themselves available to deliver projects, whether these projects are planned or emergency missions, remote or in-person, one-off tasks or longer term commitments., • Deployable volunteers are expected to seek a commitment from their employer (if applicable) to permit time off (paid or not) for deployments when necessary., • For emergency deployable volunteers, there must be arrangements in place for a quick decision to be taken on availability, including agreement from employers/family if required, in the event of all alerts. This should normally be within 12 hours of the issue of the alert, depending on time-zone., • For non-emergency deployments and projects logged on the tasking grid, volunteers must respond to a request for assistance (whether yes or no) by the deadline specified on the grid., • Volunteers are expected to put themselves forward for at least three substantive (i.e. at least two days work) tasks every year, and are normally expected to contribute at least 10 days of voluntary effort (excluding training) to MapAction every year., • It is the duty of all volunteers to do their best to make themselves available for any opportunity relevant to their volunteer role, and avoid perceptions of volunteers selecting only more ‘attractive’ tasks or missions. It is essential that MapAction is able to deliver on all tasks it commits to, and it relies on volunteers to be prepared to step up for a wide range of activities. As a member of the team, you will be expected to participate in at least 6 internal weekend training events. This must include our annual simulation exercise, which all volunteers are required to attend. Other weekend training events include 6 annual training weekends where we get together in person at various locations around the UK, and 4 online development days. Volunteers should live either within the UK or within reasonably easy and affordable reach of the UK in order to be able to attend face to face training events. Equal Opportunities Statement We are committed to creating an inclusive environment and welcome applications from people of all backgrounds, communities, and experiences. We value diversity and are dedicated to providing equal opportunities regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Selection for volunteer roles is based solely on an individual's skills, experience, suitability for the role, and commitment to our values. Notable Dates for volunteer process: Closing date - 19th July 2026 If successful after evaluation - test - week of the 27th July 2026 Attendance for Interviews online - week of the 12th August 2026 Attendance for final round in person - 12th September 2026 Unfortunately we are unable to accommodate anyone who can not meet these dates.

About The Role Are you a communication maestro with a zest for skincare and beauty? Do you thrive on delivering stellar customer service every time? If yes, you might just be the perfect fit for our dynamic Ambassador and Customer Experience team at Tropic Skincare! As a dedicated Customer Experience Specialist, you'll be the heartbeat of our Ambassador and customer interactions. This role is all about ensuring every conversation sparkles with friendliness and helpfulness, whether it's over the phone, through emails, or any other communication channel. You’ll be the go-to guru for advice on our 100% organic skincare products, assisting with returns, refunds, and ensuring every issue is resolved with a smile. Key Responsibilities • Resolve all Customer and Ambassador queries, including complaints, via chat, email, phone, and social media., • Be excited by the prospect of helping over 20,000 Tropic Ambassadors run their own beauty businesses, some of whom will start to feel like friends!, • Communicate courteously and provide customers with help and advice by telephone, email, and chat., • Collaborate with various departments to seek further product information to resolve queries., • Stay updated with any changes made to Tropic’s products., • Record relevant data and statistics into Excel spreadsheets., • Manage varied departmental administration, including completing spreadsheets and processing returns, refunds, and exchanges. What We're Looking For • A proven track record in customer support., • A natural people person with superb communication skills, capable of building lasting relationships., • A proactive problem solver, always ready to tackle new challenges and contribute fresh ideas., • Exceptional organisational skills, comfortable managing time-sensitive tasks., • Familiarity with Zendesk is a plus; however, a willingness to learn is essential., • Previous administrative experience and the ability to work to tight deadlines., • Passionate about being part of a team committed to sustainability and natural beauty. What We Offer • Location: Tropic HQ is a short walk from Beddington Lane Tram stop, with direct links to East Croydon and Wimbledon., • Hybrid Working: Enjoy a blend of office (3 days) and remote (2 days) working., • Hours: Full-time, 12-month FTC., • Shifts: Monday to Friday, 8am to 4pm and 11am to 7pm, with the occasional weekend shift., • Salary: Starting from £25,000 (depending on experience)., • Perks & Benefits: Generous annual leave, 24/7 well-being support, Discounted gym membership, Pension scheme, Exclusive skincare collection & 50% discount for family and friends, Annual product allowance, Free breakfast bar & well-being treats, Access to retailer discounts, Social events, On-site parking., • Start Date: Immediate About Tropic Susie, our Founder and CEO, started Tropic Skincare as a teenager, selling homemade body scrubs at Greenwich Market to help her mum pay the bills. She sold out on her first day, and the incredible response made her realise she had started something quite special. We still sell that iconic body scrub, and it sits alongside an extensive range of award-winning skincare and beauty products that have made us one of the UK’s fastest-growing beauty businesses. Our brand is certified vegan, cruelty-free and CarbonNeutral®, and our infinite purpose is to create a healthier, greener, more empowered world. And that’s where you come in! We’re looking for creative and ambitious people who share our vision and get excited about beauty that’s both innovative and sustainable. If you’re passionate about skincare and have a genuine desire to empower communities across the globe, you could be a great fit. Apply now if you’re ready to join a vibrant team who believes beauty knows no bounds! Tropic's Commitment to Equal Opportunities Our team is as diverse as it is talented because at Tropic, we go the extra mile to cultivate a culture of respect and belonging. We value every candidate, respect protected characteristics and never discriminate. We also provide reasonable accommodations for applicants with disabilities at every stage of the hiring process, so if this is something you need, please let our recruitment team know at the earliest opportunity! Ultimately, the most important thing for us is hiring the best person for the job, so we focus on skills, experience, and qualifications to ensure our process is fair and that our candidates always have a great experience with Tropic.

How We Work We're on a mission to create the most innovative and industry-leading cryptocurrencies exchange. Our team is globally distributed, so clear communication is critical. We are in constant contact as we hustle to develop, support, and deliver the best platform possible for our users. If you get excited about being in an industry that is breaking new ground and have a disposition of confidence towards challenging technical feats, we want to talk to you. We’re currently looking for a Customer Support Specialist to join our team. The position is remote and available to anyone self-driven, and with the experience and capacity to contribute to our vision. Key responsibilities Effectively handles inquiries and requests from corporate and professional traders Continuously upgrade skill sets Lead by example to demonstrate full ownership of outstanding customer service Contribute to the positive customer support culture through active participation and support of the Bitfinex vision, initiatives, and objectives Cross-team interactions You must be able to work independently with minimum supervision, flexible as to working arrangements and hours, and confident in making decisions in accordance with Bitfinex’s practice. Experience and a deep interest in working with Finance, Mathematics or Statistics Good understanding of trading and derivatives markets Strong analytical ability Experience in customer relations, ability to handle requests and inquiries is essential Excellent communication skills in English Passionate about cryptocurrency and blockchain world Detail-oriented Security and privacy focus Familiar with Office Suites (especially Excel)

We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set. You’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one. If you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you. We are hiring a Machine Learning Scientist into the Science Team to contribute to the development of models — from classical statistics and gradient-boosted methods through to deep learning when warranted — that turn satellite, radar, and LiDAR observations into defensible, plot-level intelligence on the world's commodity supply chains. You will work across the full lifecycle — from research and prototyping through to validated, productionised models. A meaningful fraction of the team's work centres on building lightweight downstream models — classifiers, regressors, similarity-search workflows. Likely focus areas for this role include: Commodity and plantation mapping by region - palm oil, cocoa, coffee, rubber, soy, timber and similar - in support of EUDR compliance and supply-chain due diligence. Forest degradation and biomass / canopy-height estimation from multi-sensor fusion. Develop ARR feasibility models that fuse climate, soil, and remote-sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Design, train and evaluate ML models - from gradient-boosted methods to CNNs, U-Nets and vision transformers - for commodity and plantation mapping, land-cover classification, change and disturbance detection, and biomass / canopy-height estimation. Build embedding-driven workflows on top of EO foundation models - few-shot classifiers, similarity search, downstream regressors. Design validation strategies that benchmark outputs against plot inventories and third-party reference datasets, quantify uncertainty, and surface failure modes; produce QA artefacts (maps, plots, model cards, error analyses) that internal teams and clients can trust and defend. Partner with Engineering to take models into scalable, reproducible inference pipelines across millions of plots, and contribute to a strong research culture across Science, AI and Engineering - reviewed code, shared tooling, and active engagement with EO/ML literature. Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine-learning experience, including time spent in an industry, product, or startup setting i.e. shipping models. Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL, and the STAC ecosystem. Hands-on experience training, evaluating, and debugging ML models across the modern Python stack - deep learning (CNNs, U-Nets, vision transformers) using PyTorch, as well as classical methods (gradient boosting, random forests) with scikit-learn. Demonstrable experience with remote sensing data (optical, SAR) and an understanding of the sensor-specific quirks that matter for modelling. Comfortable with Git, cloud compute (AWS or similar), and collaborative codebases. Clear written and verbal communication: can explain modelling choices, uncertainties, and trade-offs to scientific and non-scientific stakeholders. Domain exposure: deforestation, land-use change, biomass / canopy-height estimation, climate risk, or supply-chain transparency. Experience using EO foundation models as a downstream substrate - building lightweight classifiers, regressors, or similarity-search workflows on top of frozen embeddings (e.g., AlphaEarth Foundations, Clay, etc). Comfortable fine-tuning or pretraining where the case justifies it. Multi-modal fusion experience - combining optical (Sentinel-2, Landsat), SAR (Sentinel-1, PALSAR), and/or LiDAR (GEDI, ICESat-2) into unified predictions. Time-series modelling for environmental change detection - temporal transformers, sequence models, or self-supervised approaches. Comfortable building with AI-assisted development tools as a core part of your workflow. Familiarity with Google Earth Engine, Microsoft Planetary Computer, AWS Open Data, or other STAC-based catalogues. Experience working in cross functional teams working alongside solutions architects, sales, and engineering. You’ll report to the Science Team Lead and partner day-to-day with the wider Science Team while working closely with Engineering and Product teams. This is a Science Team role with regular touch points with Engineering and Product - the interview process gives you a chance to meet your immediate team and a couple of key partners. Recruiter screen (30 min) Hiring manager (45-60 min) Science Team technical interview (45 min) Engineering and/or Product interview (30 min) Potential in-person problem-solving session with the team - designed to be interactive and a glimpse of what being part of the Science Team will be like! Accessibility: Tell us if you need adjustments, we’ll accommodate. What you’ll gain at Treefera Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we’re here to support you. Learn more about how we think and build Many of our engineers, scientists and product leaders share their thinking publicly. Explore the Treefera _ for technical deep dives, research and product perspectives. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our _.

We are now recruiting for a Spanish & English speaking Sales Administrator to work for a global organisation, albeit working mainly remotely and the interview process being remote, you would need to get to a workspace in Farringdon, London, for the first day's induction/training and then 2 days a month following this. The role of this person in the orders team will be to effectively manage end user customer relationships from initial contact through to resolution stage. Responsible for handling consumer sales/products/service enquiries via phone and email, including support for online orders and managing web order returns. The role is a permanent position, paying up to £27,000 for the right person, it's a Monday to Friday position with working hours of 9am to 5pm and a 1-hour lunch break. Please note before applying that to be considered you must have some form of office-based sales admin, order processing or customer service experience; and must be able to get to the offices in Farringdon twice a month. Please do also make it clear on your CV and application which languages you can speak as we will only be able to consider those with Spanish and English language skills. Duties • Handle incoming customer enquiries via phone, email and other channels, providing excellent customer service at all times., • Place outbound calls to customers to advise and/or obtain information necessary to process orders and resolve issues., • Record all customer interactions ensuring that issues are resolved in a professional and timely manner., • Monitor and process web order returns., • Web order tracking., • Liaise and build relationships with Marketing, Technical Support, Finance, Operations and Sales to ensure effective resolution on all customer enquiries, • Work with Sales Admin to ensure accuracy with web order processing., • Interact and communicate with our supplier and vendor partners regarding customer activity/orders., • Monthly report showing support statistics from Zendesk and general update on Support for EMEA region., • Assist the Ecommerce Manager as required in carrying out ad-hoc tasks. Knowledge and Skills Requirements • Spanish and English language skills are a must-have., • Previous use of a CRM or Orders system would be useful., • Experience of a customer ticketing system would be a major advantage., • Excellent communication skills (both written and verbal) including a warm telephone manner., • Customer service experience is essential with a genuine interest in customer care., • Excellent organizational skills with ability to multi-task and extremely detail oriented., • Ability to resolve complaints and queries ensuring a high level of customer service., • Able to follow direction and complete tasks independently., • Proactive and highly motivated team player., • Proficient in all Microsoft Office Packages., • Ability to work to tight deadlines and be able to demonstrate excellent time management skills. We are looking to shortlist for this role immediately, please apply and call Bobby on 01442-600-100 for more info.

I am currently recruiting for a Senior Digital Marketing Executive on behalf of an international law firm. This role is based in London and offers a hybrid working arrangement. Key Responsibilities: • Lead the Digital Marketing team in maintaining and updating the firm's external digital platforms., • Oversee and promote the firm's content strategy, including thought leadership, blogs, articles, and webinars., • Deliver digital marketing campaigns to enhance the firm's reputation and capabilities., • Produce and publish regular social media content adhering to best practices and brand guidelines., • Utilise the firm's CRM tool to manage marketing lists for campaigns and events., • Collaborate with internal teams to ensure digital content aligns with the firm's strategy., • Manage and monitor web statistics and produce content reports., • Line manage and mentor members of the Digital Marketing team. Requirements: • In-depth understanding of marketing campaigns and brand importance., • Proficiency in Microsoft Word, Excel, and PowerPoint., • Excellent communication skills, both written and verbal., • Strong organisational ability in a pressurised environment., • Experience in marketing, communication, or business development, preferably in a professional services environment. This is an exciting opportunity for a digital marketing professional looking to make a significant impact. If you meet the criteria and are seeking a new challenge, please apply now. If this job isn't quite right for you, but you know someone who would be great at this role, why not take advantage of our referral scheme? We offer £200 in shopping vouchers for every referred candidate who we place in a role. Terms & Conditions Apply. https://refer-a-friend

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is what happens when a data science firm and a creative agency stop arguing and start collaborating. We were built from scratch with PhD data scientists and award-winning creatives working on the same briefs, from day one. That structure earned us an Ad Age #3 A-List ranking, back-to-back Data & Insights Agency of the Year wins, plus Emmys, Cannes Lions, Clios, and Effies across clients in finance, tech, entertainment, consumer goods, and real estate. We're distributed across the U.S. and unapologetically ambitious. If you're tired of choosing between doing smart work and doing creative work, you'll fit right in here. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU Known's Media Science team uses advanced analytics, machine learning, statistics, and algorithms to plan and optimize advertising dollars. We partner with our clients to translate their business goals into meaningful metrics, and buy media across all channels to drive those target outcomes. • Own performance and client relationships across your portfolio, meeting targets and delivering clear, data-grounded narratives, • Set the overall strategy for paid search and generative AI search (including Performance Max, AI-powered Smart Bidding, and emerging gen AI ad surfaces), across multiple clients, • Define and enforce best practices across the team, including testing frameworks, QA standards, and knowledge-sharing processes, • Manage, develop, and hire direct reports; own the professional development of the full search team under you, • Act as executive escalation point for client issues, coordinating resolution across disciplines, • Translate client business objectives into search strategies, and connect search activity to broader channel plans, • Oversee day-to-day management of advertising spend across paid search, • Advise clients and internal teams on how machine learning, automation, and generative AI tools can improve search performance, • Build and present media plans, performance reports, and strategic recommendations to client leadership, • Build and grow search practice with an eye to the future, which may include changes in Search and AI landscape, evolution of overall paid media landscape, and other cross channel knowledge sharing., • A degree from a well-regarded college or university, • 8+ years of hands-on experience managing paid search strategy and execution in a digital agency or comparable environment, • Demonstrated experience managing gen AI-powered search campaigns, including Performance Max, Responsive Search Ads, Smart Bidding and emerging generative ad formats across Google and Microsoft, • Working knowledge of SEO, including technical SEO, content strategy, and the intersection of organic and paid search, • Experience managing and growing a team of at least 4-6 people, • Track record managing clients directly at a senior level, • Experience in translating goals to KPIs, • Ability to think creatively and question conventional platform or channel approaches when the situation calls for it., • Strong grasp of the math behind media buying: statistics, attribution models, and measurement frameworks, while also understanding and implementing the magic of translating insights into action., • Ability to evaluate and direct work across paid search and gen AI search in a single coherent strategy, • In-platform fluency with Google Ads and Microsoft Advertising, including AI-powered campaign types, • Experience with search audience strategies, keyword architecture, and budget scaling across verticals, • Excellent communication and presentation skills, including the ability to explain technical concepts to non-technical clients, • Experience working with data scientists or technical teams on measurement and optimization problems is a plus, • Translates business problems into specific, solvable media questions and delivers high-quality work against them, • Delegates effectively to a team with varying levels of experience, • Holds a high bar for accuracy in reporting and analytics, for their own work and others', • Collaborative by default; builds trust across media, analytics, and client teams, • Unlimited paid time off, • 401k with company matching and no vesting period, • Annual bonuses, • Generous medical plan, • Paid parental leave All this might sound great, but you're probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There's always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $170K-$185K This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #J-18808-Ljbffr

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We are looking for a Care & Support Worker to join us here at Southern Housing on the Isle of Wight!.You will work as part of a team providing personalised care and support to residents and people who use our services in line with established care and support plans.You will work with older people, f

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Our residential home is in the beautiful High Peak, providing high quality Residential, Respite and Dementia care for 36-residents.Senior Care Assistant Contract £13.Contracted to 36 hours per week Paid DBS, pension, uniform provided 5.Role Overview As Senior Care Assistant, you will guide and s

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Company Description Location: Flint Pay: £13.Hours: Truly Flexible Full-time, Part-time, Mornings, Evenings, or Weekends *Unfortunately we cannot offer sponsorship at this time.Are you the one your friends always turn to for a chat and a warm cup of tea? Do you have a heart of gold and a natural kn

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Are you ready to start a new career in Data Analysis?.The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable.

FindTutors is looking for passionate Statistics tutors to join our growing online teaching community.

Are you ready to start a new career in Data Analysis?.The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable.

FindTutors is looking for passionate Probability and Statistics tutors to join our growing online teaching community.

FindTutors is looking for passionate Statistics tutors to join our growing online teaching community.

Are you ready to start a new career in Data Analysis?.The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable.

FindTutors is looking for passionate Probability and Statistics tutors to join our growing online teaching community.

Are you ready to start a new career in Data Analysis?.The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable.

FindTutors is looking for passionate Statistics tutors to join our growing online teaching community.

Are you looking to benefit from a new career in Data Analysis?.If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst.We do this using our specialised Data Analyst career pro

Are you ready to start a new career in Data Analysis?.The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable.

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Are you ready to start a new career in Data Analysis?.The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable.

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