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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

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 _.

Crew Relation Specialist - is responsible for providing administrative support to the HR division for crew related issues. Manages the berthing and par level processes for all crew members and provides reports for each voyage. Coordinates the crew emergency plan numbers. Assists the Crew Administrator with Crew Immigration/Customs with specific duties during the sign-on & sign-off process. This includes assigning name badges and cabin keys at sign-on and collecting these at sign-off. Responsibilities include coordinating repatriation for all crew by providing re-employment letters. Processes all employee cruise requests with shoreside. Organizes crew activities/events and manages crew welfare. Performs HR administrative duties as directed by the HR Manager. • Travel around the World, • Experience working with more than 72 nationalities, • Permanent job with contract 6-8 months onboard followed by 60 days of vacation, • Save Money as you do not pay for food and accommodation on board, • Competitive salary (find out when apply), • Visa fee will be reimbursed on board, • Professional growth, • Medical insurance provided during contract, • Work in Royal Caribbean Cruises Ltd. named one of the Top-Rated Workplaces RESPONSABILITIES • This consists of physical and verbal interactions with guests or fellow shipboard employees and/or in the presence of guest contact and crew areas. • Provides information and services to shipboard employees with regards to orientating, assigning and retrieving berthing, equipment, and written literature. Issues cabins and bulk assignments to all Officers, Staff and Crew. Records all cabin and crew changes and prepares berthing report for each voyage. Assigns crew emergency numbers, name badges and cabin keys. Collects all items when shipboard employees sign-off. • Assists with the crew sign-on and sign-off process, as directed by the Crew Admin. Manager, reviewing immigration documentation such as passports, visas, Alien Resident Cards (ARC), Letters of Re-Employment, etc. to determine validity of documents. Refers unusual documentation to the Crew Admin. Manager and HR Manager., • Ensure accuracy of employee records, • Conducts/coordinates weekly cabin inspections and reports discrepancies., • With the full support of the HR team, helps organize and delivers activities for the crew that foster good shipboard employee morale. Assists in managing the Crew Welfare Fund., • Minimum 1 year prior administrative experience within a hospitality industry, • Working knowledge of onboard computer systems, internet access, and the ability to navigate within variety software packages such as MS Office, • Fluent in conversational & written English, hospitable with a positive attitude, • Minimum 21 years old, • Minimum 1 year prior administrative experience within a hospitality industry, • Completion of high school or basic education equivalency preferred., • Working knowledge of onboard computer systems, internet access, and the ability to navigate within variety software packages such as MS Office, • Ability to work positively and cooperatively in a diverse team environment and to interact with a wide variety of ethnic diversity., • Excellent interpersonal and people skills NOTE: Nationalities that we can process: 🇱🇹 🇱🇻 🇪🇪 🇵🇱 🇺🇦 🇪🇺 For 🇲🇩 🇬🇪 🇧🇾 🇷🇺 additional security / background check may be required Last updated: March 15, 2024 You can submit your Resume here by pushing APPLY TO POSITION button If you are not sure what position to apply for, you may instead submit a general application here and we will advise you: _

🚀 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 ❤️ 📍Location Remote in the UK | 💰 £24,750 to £29,625 + | ✨ (If you are based in London the minimum salary offer will be £27,250) Please reference any literature that you may refer to, as applications that are highly plagiarised and not your own work. e.g. ChatGPT, will be declined. Your Day to Day; Our Collections team are the financial health heroes at the core of Monzo. They are here to identify and support customers who may be struggling with debt, offering them compassion and options to help. They do this with their top notch understanding of Monzo’s award winning lending products, credit file details and something we call a ‘decisioning process’ - something we’ll teach you all about! You should apply if: • You are able to start on 13th April 2026 and able to attend 7 weeks training, Monday to Friday 9am - 5.30pm, • Prior experience in Collections, Debt Recovery or Customer Service within a contact centre environment experience would be advantageous, • Have a background supporting customers with vulnerability, • You’ll need to have a background supporting customers, • The ability to communicate with customers to the highest standard because we only want the best for them, • You can ask open questions to understand their situation, listen and provide solutions via our in-app chat, outbound and inbound calls and emails, • From time to time things are complex so a keen eye for detail and a high standard of work will really help in this team, • Understanding and keeping up to date with our regulatory obligations and ensuring these are fulfilled in our customer outcomes (in line with the FCA).Most importantly - you live and breathe people and customers like we do The interview process: Our interview process involves 3 main stages: • Please answer the application questions and the 4 scenarios within, • Recruiter Call - 30 minutes, • Competency-based Values and Role Specific Interview - 60 mins approx. ⏰ Your working life and shift requirements • Working hours fall within Monday to Friday 8am to 8pm and Saturday and Sunday 9am - 6pm (37.5 hours a week, remote working)., • Your shift pattern will vary on a weekly basis, but don't worry, we give you plenty of notice in advance., • You're guaranteed 1 full weekend off each month., • We'll guarantee time off on your birthday (if you want it). This will come from your regular holiday balance and provided you have enough to cover it. 🙌 What’s in it for you 💰 £24,750 to £29,625 ➕ plus stock options & benefits 📚£1,000 learning budget each year to use on books, training courses and conferences. ➕ Plus lots more! _. We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. _ You’ll hear from us throughout the application process, but if you’ve got any questions, please reach out to falahahmad@monzo.com. You can also use this email address to let us know if there’s anything we can do to make the process easier for you because of disability, neurodiversity or anything else. Please note we will close this role once we have enough applications for the next stages. Please submit your application asap to avoid any disappointment. #LI-REMOTE #LI-FA1 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 😊

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

Applications are welcome from current probationers pending attainment of full registration with the GTCS.East Lothian Council seek to appoint a dynamic and forward-thinking individual for the position of Teacher of English, at Rosehill High School.Our school opened in August 2023, to around 300 youn

English Teacher Prospero Teaching is looking for a dedicated English Teacher for a Secondary school in Barnet, London.The school has a supportive English department.The school is looking for a candidate with excellent subject knowledge and with a passion for delivering exciting and engaging lesso

English ECT teachers for immediate start South London secondary schools are now recruiting English Early Career Teachers (ECTs) for an immediate start.These schools offer competitive, MPS-aligned salaries, strong English departments, and supportive Senior Leadership Teams dedicated to guiding your

English Teacher - Secondary School | Havering.September 2026 (or sooner by agreement).We are seeking an enthusiastic, dedicated, and talented English Teacher to join our successful and supportive English Department at our thriving secondary school in Havering.This is an exciting opportunity for an a

Job Description English Teacher Are you passionate about inspiring young minds through English literature and language? Tradewind are seeking a dedicated and enthusiastic English Teacher to join a supportive secondary school located in the heart of Scunthorpe.

This is an exciting opportunity to join a successful English department with a strong commitment to academic excellence and a passion for fostering a love of reading, writing and literature. The successful candidate will teach English Language and English Literature across KS3 and KS4, with opportun

English Teachers Wanted - East Lancashire | September Start Join Veritas Education for Day-to-Day and Long-Term Teaching Opportunities Are you a passionate and dedicated English Teacher looking for flexible work or your next long-term role this September? Veritas Education is recruiting qualified

Experienced English Teacher/ECT English Teacher - Permanent Contract Starting September 2026 - 'Good' Graded School - Borough of Tower Hamlets - MPS/UPS Inner London Pay Scale Experience English Teacher/ECT English Teacher Required for a permanent role **Graded 'Outstanding'

Job Title: Secondary English Teacher Location: East London Job Type: Full-Time (5 days a week), Long Term About Us: Remedy connects passionate educators with schools across London.We are seeking a qualified English Teacher for a full-time, long-term position at a secondary school in East London.

Reading is embedded across the curriculum, and the department delivers a rich programme of literature, creative writing and oracy, ensuring students develop the confidence and communication skills needed to succeed both academically and beyond school.

Job Title: English Teacher Location: Hertfordshire Job Type: Full-Time (5 days a week), Long Term About Us: Supply Staff connects passionate educators with schools across London.We are seeking a qualified English Teacher for a full-time, long-term position at a secondary school in Hertfordshire.J

PRU English Teacher Newham Immediate Start.This well-established Pupil Referral Unit in the London Borough of Newham is seeking a resilient and inspiring.Supporting KS3 and KS4 pupils with Social, Emotional and Mental Health (SEMH) needs and complex barriers to learning, the school provides a ther

Job Overview Are you invested in the development of students aged between 11 and 16? Are you adaptable and flexible? TeacherActive is recruiting experienced and qualified English Teachers for a range of roles across London, including day‑to‑day supply, long‑term placements, and permanent posit

Cicely Haughton School is seeking an Assistant Head Teacher to join the Senior Leadership Team from January 2027.The post entails supporting the Headteacher in day-to-day school management, leading English, and delivering phonics daily to a diverse group of pupils aged 4–11 with SEMH needs.The rol

As a SEN English Teacher, you will be responsible for teaching and guiding students in the subject of English, focusing on intermediate language skills and literature.

Mode is proud to be partnering with a globally recognised luxury Maison seeking a Multi-Site Manager to oversee multiple retail locations within one of the world’s busiest international airports.This is a rare opportunity to join an iconic luxury brand renowned for its heritage, craftsmanship, inn

Charwin Homes Ltd is a new residential developer looking to deliver new projects across the Home Counties and Midlands.With a strong financially secured pipeline of ongoing and upcoming developments, we now have a new opportunity for a Site Manager to join us from the private house building industry

Upto £32,000 plus excellent benefits.Hybrid – 2 days in the office and 3 days working from home.As key member of the HR Shared Services team, you’ll deliver a high-quality, customer-focused experience across the full employee lifecycle.Utilising People systems to provide fast, effective support

𝗪𝗼𝗿𝗸 𝗼𝗻 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴.At JIJ, we believe the future of computing will not be driven by a single technology.The most impactful solutions emerge from combining mathematical

We’re the feel-good fashion brand making style accessible and fun for over 55 years, on our website, mobile app and over 300 stores in the UK.By living our values - we play to win, customer obsessed, we are one and it starts with me - we deliver That New Look Feeling for our customers and each oth

The Council operates a flexible working environment.The role holder may work remotely but will be required to attend Council offices, meetings, hearings, and proceedings when required.Occasional travel and attendance outside core hours may be necessary.Surrey County Council, manage a complex caseloa

JTP is an award winning placemaking practice of architects and masterplanners.From our studios in London and Bristol we undertake placemaking projects at every scale, from cities and towns, to neighbourhoods, streets and the design of individual buildings.Our London Studio is seeking a talented and

Are you a highly organised Operations Coordinator or Project Administrator with a keen eye for detail and experience producing high quality documentation?.We are working with a contemporary, busy and fast-paced interiors, design and build company who are seeking an Operations Coordinator to support

Location: Predominantly Remote Role (Open to candidates nationwide).We are seeking an experienced Asset Data Quality Manager to lead the development, governance, and assurance of asset information across our estate.This role will ensure asset data is accurate, structured, and compliant with industry

Complete internal and external Fire Risk Assessments both visual and fully intrusive.Advise clients on fire safety compliance within existing and new build schemes and work with multi disciplinary team in developing complex designs.External Wall Risk Assessments.Retrospective and design fire strateg

We’re working with a highly regarded international law firm looking to grow its Insurance team in London.This is an excellent opportunity for a 2+ PQE associate to join a busy, collaborative team handling complex, high-value and international matters.You’ll work across a diverse mix of:.Professi

Power Platform & AI Solutions Consultant.No sponsorship can be offered - must be eligible for SC Clearance.We are working with a leading Microsoft Solutions Partner that is helping organisations move from AI experimentation to real-world adoption across Dynamics 365, Power Platform, Microsoft Copilo

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu