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Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. We're looking for a Senior Data Scientist (L5) to join our Product Data team collaborating with our Product Analysts to build deep understanding of how users engage with our AI-native products through conversation and interaction data. You will work at scale with unstructured text data - prompts, model outputs, user edits, feedback - to discover patterns that explain user behaviour and directly shape what we build next. The focus is on semantic analysis of conversations: understanding intent, identifying failure modes, detecting successful interaction patterns, and translating these insights into specific product improvements. This is hands-on analytical work, not infrastructure-focused. We need someone who can analyse messy conversation data, discover non-obvious patterns, and connect those findings to product decisions that move the needle on adoption, retention, and cost efficiency. For exceptional candidates with track records of leading analytics in AI-driven environments, we are open to hiring at Principal level, where you would set the broader data science agenda and mentor the existing analytics team. Define how we measure "good" for AI-native features beyond traditional funnels. Build semantic frameworks to categorise user intent, model behaviour, and interaction patterns - e.g., "What types of prompts succeed vs. fail? What causes users to retry? What signals indicate satisfaction?" Design feedback loops that connect prompts, model outputs, user behaviour, and downstream outcomes. Define, track, and own the metrics that leadership and product teams depend on for a shared, trustworthy view of what is working and what is not. Work with large conversation datasets to deeply analyse how users interact with AI features (prompts, edits, retries, acceptance, abandonment). Identify failure patterns, unnecessary iteration loops, and the characteristics of successful interactions. Build models that answer the questions dashboards cannot: what predicts a good user outcome, what drives failure, and where the highest-leverage improvements are. Turn findings into specific, prioritised recommendations that feed directly into the product roadmap. Partner with Product and Engineering to evaluate iterations quickly and close the loop between insight and action. Run experiments end-to-end: design, instrument, analyse, and translate results into clear product decisions. Link AI feature usage to activation, retention, expansion, and cost efficiency. Help answer questions like: Which interactions create durable value? Where are we over-spending compute for low user impact? Build pipelines, dashboards, and self-serve analytical tools that make insight accessible and trustworthy across the organisation. Mentor a team of product analysts, raising the technical bar and introducing new methods where they add real value. Significant experience (ideally 5+ years) in Data Science, Product Analytics, or a similar role with conversation, chat, or dialogue data at scale. You have actually analysed large volumes of user text (prompts, messages, feedback, reviews) to discover patterns that shaped product decisions. Experience working closely with Product and Engineering teams. Hands-on experience working with AI/ML-driven products (LLMs, ranking, generation, recommendations). You have worked on these systems, not just alongside them. Strong applied modelling skills: regression, classification, clustering, survival analysis, or similar. You pick the method that fits the question, not the other way around. Deep expertise in experimentation design and statistical inference. You can design a valid experiment, choose the right test, and explain the results to a non-technical audience. Fluency in SQL and Python. Comfortable working with large, messy, high-dimensional interaction data and building reproducible analysis pipelines. Ability to design pragmatic evaluation metrics where ground truth is fuzzy. Familiarity with modern data stack tools: dbt, Snowflake, Hex, Omni, Looker, or similar. Clear communicator who can influence without authority. Experience with product analytics platforms (e.g. Amplitude, Mixpanel, or similar). Experience working with NLP, text analytics, or unstructured data at scale. Experience building semantic search, relevance scoring, or interaction-based evaluation systems. Familiarity with prompt analytics, embedding-based analysis, or clustering user behaviour. Track record of influencing product strategy at a senior level, not just delivering analyses. Experience mentoring or technically leading other analysts or data scientists. At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. _ You will be compensated well with a generous salary and equity Flexible, remote-friendly role for team members working in UK/Europe You get 25 days of annual leave + local holidays Regular team offsites where you’ll get to collaborate with the product & engineering team in person Work from home budget "Work from anywhere" up to 60 days per year Generous referral scheme of up to $10,000 USD for each successful referral

Kalibrate exists to deliver the right insight, at the right time, to give organizations answers to their most challenging questions. We’re partners in growth. We serve decision makers across location and fuel pricing in markets all over the world — from high growth emerging concepts to the most established international operators. Our platforms and analytics solutions directly empower decision-making and provide clear financial value. These decisions help grow economies, create jobs, and improve the communities where we live, work, and play. Role Reporting to the Director of Data Science Research, the Data Scientist is a highly skilled individual contributor responsible for designing, developing, and deploying advanced data science solutions across Kalibrate's product portfolio. This role focuses in particular on our pricing product suite, applying leading statistical, machine learning, and AI techniques to deliver innovative solutions for fuel pricing while contributing to the technical excellence of the Data Science Research team. Key responsibilities include: Data Science Solution Development & Delivery o Apply statistical and econometric modeling, time series analysis, optimization methods, and generative AI to develop improved approaches to demand modeling, elasticity estimation, price recommendation, competition analytics, and related challenges. o Develop reusable tools, frameworks, and components to support and accelerate delivery of value from data science. o Deploy scalable and maintainable solutions to cloud environments, leveraging version control practices and robust code quality and documentation standards. o Work independently and as part of the Data Science Research team, contributing to research prioritisation and technical direction in collaboration with the Director and Product leadership. Technical Excellence & Mentorship o Demonstrate technical excellence by delivering high-quality, innovative solutions and championing best practices to ensure research outputs are reproducible, scalable, and maintainable. o Contribute to evaluation and adoption of appropriate tools, programming languages, and technologies. o Mentor junior team members, sharing knowledge and supporting their professional development. o Identify and contribute to patent opportunities and the company's intellectual property portfolio. Collaboration & Communication o Collaborate across Development, Product, Analytics, and Commercial teams to ensure solutions address business challenges and stakeholder objectives. o Partner with operational teams to ensure data pipelines and infrastructure are robust, secure, and optimized for research and production workloads. o Communicate technical concepts and outcomes effectively to both technical and non-technical audiences. Innovation & Continuous Learning o Stay current with developments in data science, machine learning, and AI, applying state-of-the-art techniques to project work. o Develop comprehensive knowledge of the retail fuel industry to understand domain challenges and help guide product innovation. o Share knowledge and promote best practices across the team and company. Profile Qualifications & Profile o Ph.D. or master's degree in a quantitative discipline. o Demonstrated track record of designing, developing, and deploying data science and machine learning solutions in commercial environments. o Expertise in statistical or econometric modeling and optimization techniques. o Proven ability to independently manage complex projects under tight deadlines while maintaining high standards of quality and reliability. o Strong written and verbal communication skills for both technical and non-technical audiences. o Cross-functional team collaboration experience with product, engineering, and business stakeholders. o Experience in pricing data science is desirable, particularly within the fuel or retail sectors. Technical Skills & Experience o Advanced proficiency in Python and/or R for data science development. o Proficiency in SQL for data extraction, transformation, and analysis. o Experience with version control (Git) and modern software engineering practices including code review and collaborative development. o Familiarity with using generative AI tools such as Github Copilot to support development and enhance productivity. o Knowledge of solution deployment with cloud platforms (preferably Azure), including containerization (Docker) and CI/CD pipelines is desirable. Location & Travel This a remote role within the UK. Travel to our offices in Manchester city centre, or client and partner locations, may be required for meetings and events. The Data Science Research team operates across multiple time zones globally, so working hours may occasionally need to flex to accommodate necessary collaboration with international colleagues. 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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.

🚀 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 😊

At Notpla we’re at the leading edge of sustainable innovation, creating natural alternatives to single-use plastic packaging that’s carefully engineered to create a healthier planet. Founded on the belief that nature knows best, we’re an innovative, ideas and action-oriented scale-up who develop and manufacture uncompromisingly natural packaging solutions from seaweed and plants. The Edibles Category Owner will spearhead the strategic and operational success of the Edibles product line at Notpla. This category includes Ohoo, edible films, and pipettes, among other innovative products. This is an exciting time to join Notpla, right on the brink of a record-breaking year for revenue and on-track for major growth in the next 18-24 months. Bolstering confidence in our financial performance, we have just secured a Series A+ fundraise for £20million, enabling us to scale our growth and environmental impact faster than ever. The Category Owners report directly to the CEO’s & Co-Founders, whilst being heavily supported by our Head of Product Portfolio and our CRO. You will work closely with the Technical Category manager for the edible packaging category, working with them in a “co-founder” type capacity to drive the category’s vision-setting, strategy formulation, and category performance ownership Led by strong values, all Notpla employees are encouraged to take responsibility for their domain, giving a high level of autonomy. Our aim is to build an inspiring culture that's reflected in our working policies ,environment and employees. Besides offering exciting roles and a great working environment, Notpla provides competitive salaries, the potential for EMI Share Options, a zero-carbon pension scheme, discounts with local businesses, and subsidised social activities. Our office first hybrid working policy allows you to work in the manner that maximises your productivity, while still creating a vibrant and collegiate work environment.. We are a social business with regular clubs and events, and we are proud of how our diverse workplace has created a community that is all pushing towards the common goal of making plastic disappear. The role encompasses vision-setting, strategy formulation, and category performance ownership. The role of Edibles Category Owner represents a unique opportunity to lead and shape the category from its foundation, defining business opportunities and driving forward innovation within the edible packaging space. The Edibles Category Owner will act as a steward of cohesive growth and a champion of sustainability and customer experience within this pioneering category. We are looking for a Results driven, collaborative leader who is willing to take on full accountability for the category's success. You will have to be able to combine strategic vision, whilst focusing on measurable goals, using your leadership skills to foster teamwork and align a multifunctional group to achieve its goals. You will need to have prior experience in a Product Manager/Category Owner type role, preferably within the packaging, food or FMCG space. Alongside this you will need to have a demonstrable track record of delivering commercial success, owning the business development process from cradle to grave. You will also need to have strong financial acumen, owning the categories P+L and forecasting models. Alongside all of the above, your day to day responsibilities will include: Oversee the strategy for the entire Edibles product line, balancing short-term execution with long-term growth objectives. Develop and track category KPIs, focusing on measurable outcomes such as product adoption, customer satisfaction, and revenue growth. Identify new business opportunities within the Edibles category, targeting strategic markets and segments. Create and maintain a robust pipeline of leads, transforming prospects into recurring customers. Negotiate and secure long-term agreements with key accounts, ensuring sustained revenue growth and customer retention. Oversee the end-to-end product lifecycle for edible products, from development to launch, ensuring successful execution across all touchpoints, including marketing, pricing, distribution, and customer support. Work closely and collegially with a small but highly skilled team, including a technical project manager and a food scientist, fostering a spirit of collaboration. Collaborate with engineering, chemistry, design, commercial, and finance teams to achieve category goals. Develop and nurture strong relationships with key customers to better understand their needs and create customer-centric solutions. Partner with industry suppliers to ensure a reliable and innovative supply chain for the Edibles category. £45,000 - £60,000 + EMI Share Options

Technical Account Manager London - Hybrid or UK - Remote About Snowplow Snowplow is the global leader in customer data infrastructure for AI, enabling every organisation to transform raw behavioural data into governed, high-fidelity fuel for AI-powered applications—including advanced analytics, real-time personalisation engines, and AI agents. Digital-first companies like Strava, HelloFresh, Auto Trader, Burberry, and DPG Media use Snowplow to collect and process event-level data in real time, delivering it securely to their warehouse, lake, or stream, and integrate deep customer context into their applications. Thousands of companies rely on Snowplow to uncover customer insights, predict customer behaviours, hyper-personalise customer experiences, and detect fraud in real time. The Opportunity The Technical Account Manager (TAM) sits within our Technical Services team and reports to the Technical Account Management Lead. This customer-facing role blends technical expertise with consultative support, helping customers solve problems and get value from their data using Snowplow. We view customer activation as key to retention and success. TAMs work closely with clients to understand their data goals and design tailored implementations that drive business outcomes. We’re looking for a technically savvy, data-driven individual who thrives in a fast-paced environment and enjoys working with data teams to co-design solutions, implement use cases, and demonstrate impact. The role involves close collaboration with cross-functional teams—Engineering, Product, Sales, Support, and Marketing—to optimise customer strategies and expand use cases. What you'll be doing: ● Partner with various Snowplow team members to support customer accounts, collaborating with them to deliver value within their unique and complex organisations.● Provide consultation and advisory support to customers regarding solutions and use case development, by providing actionable execution of success criteria and solutioning complex problems.● Work with customers to identify, diagnose and resolve technical challenges with their Snowplow solution – including front-end implementation, data modelling, real-time data processing, and more.● Educate and enable our customers through tailored workshops and advisory sessions.● Collaborate with our Solution Architects, to develop and evolve technical assets such as data models, implementation strategies, architectures, and supporting code to bring value to our customers as well as our internal teams.● Develop domain expertise in key verticals through deep customer collaborations, general research and industry events/conferences.● Work closely with the Customer Success and Strategic Account Management teams to develop long-term strategies and roadmaps for activation and adoption of Snowplow’s products. ● Continue learning and staying current with our products and related technologies, to assist and train both customers and other team members We’d Love to Hear From You If Have: ● A solid understanding of the data space - cloud infrastructure, database technologies, visualisation tools and other enabling technologies in the modern data stack.● Experience working either client-side or agency-side as an analyst, analytics engineer, data engineer, data consultant, or data scientist.● SQL and data modelling experience, and proficiency at manipulating data.● Experience with direct management of a customer portfolio for continual successPrevious experience designing and implementing complex software solutions, including gathering/developing requirements and interacting with senior technical stakeholders (e.g. CTO, VP, Tech Lead). ● Previous experience of using Snowplow, (either BDP or open source) is ideal but not required What We Offer You in Return: 💰 A competitive package, including share options🧘 Flexible working🏖 A generous holiday allowance no matter where you are in the world💻 MacBook and home office equipment allowance👪 Enhanced maternity, paternity, shared parental and adoption leave Snowplow is dedicated to building and supporting a brilliant, diverse and hugely inclusive team. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence.

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

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

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.

Our Mission Summary Ocean Science Consulting Limited (OSC) is modelled on Woods Hole Oceanographic Institution (WHOI), which undertakes commercial and military contracts to fund scientific Research and Development (R&D). OSC’s founding Director was formerly a scientist at WHOI, hence this approach and pursuit of her core research interests. translating past and current R&D outputs into future goals, we aim to influence OsloPARis Convention (OSPAR) decommissioning legislation, by potentially repurposing offshore anthropogenic infrastructure via Nature-in-Design (NID) techniques into artifcial reefs, readdress methods to collect/analyse survey data more effectively and reduce carbon emissions (e.g. fewer people, vessels, and planes, etc.), promote long-term monitoring campaigns that focus on project lifecycles and not merely construction windows, by introducing high-tech low-power hardware and novel processing, which will progress the blue economy. Ocean Science Consulting Limited aims to influence decommissioning legislation and promote the blue economy through innovative research and development, focusing on marine mammal detection, artificial reefs, and reducing carbon emissions.Position title: Internal accountant Type: Full-time, permanent position Salary: Competitive depending on qualifications and experience Holiday: 32 days + birthday, incl. public holidays, increasing with service Benefits: Health insurance Location: Dunbar, East Lothian, Scotland, UK (potential for remote/flexible working) Start date: ASAP About OSC Ocean Science Consulting Limited (OSC) is a technology-focused marine science company involved principally in providing environmental services worldwide. OSC specialises in and monitoring, and , Remotely Operated Vehicle , and . OSC has a track record for providing environmental monitoring (mitigation for regulatory compliance) and (field studies and experiments) for a large and range of _. Role OSC is seeking an internal accountant to become a member of the team. The internal accountant will have previous experience working in a finance role, including knowledge of UK VAT. Our ideal candidate will have a proactive, hands-on mindset with the ability to self-review their work. Responsibilities: • Take responsibility for all in-house finance matters;, • Ability to work efficiently in a management accountant role across a wide range of projects, completing analysis as and when required by management;, • Using Xero software (and the associated Hubdocs App to upload receipts) to complete day-to-day bookkeeping, which includes OSC’s storage business (containers and vehicles) within a compound adjacent to our offices, and rental property;, • Using Rentila and managing customer contracts and payments for the storage business;, • Managing debtor and creditor ledgers and completing bank reconciliations;, • Preparation and filing of quarterly VAT returns;, • Completing monthly / quarterly management accounts;, • Preparation of records for R&D tax credits in contact with an external contractor, who provides software and training;, • Filing and naming according to company policy using SharePoint, with training provided;, • Enforcing company-wide adherence to financial policies, including the requirement for all staff to submit VAT receipts where applicable and upload these via Hubdocs;, • Implementing and maintaining ISO procedures with finances;, • Directors’ personal accounting/book-keeping/income tax and VAT returns; and,, • Payroll and associated records of working days and holiday. Required: • Legally permitted to work in UK prior to employment;, • Degree in a relevant discipline (e.g. accounting or finance) or previous experience working within a finance role;, • Previous experience preparing and filing VAT returns;, • Excellent written and verbal communication skills;, • Strong skills across Microsoft software (excel, word, outlook, teams);, • Able to work on own initiative and prioritise effectively, achieving results against deadlines;, • Genuine interest about the business, and the industry; and,, • Commercially aware, discreet, and able to handle sensitive information. Desirable: • Experience using Xero accounting software (training can be provided);, • Part qualified, qualified or qualified by experience., • Experience with foreign currencies and transactions OSC is an Equal Opportunities Employer. The company offers benefits such as health insurance, remote working, and opportunities for career progression. Please submit your CV and cover letter through OSC’s careers portal _. There will be a written test as part of the interview process. Kind Regards, OSC Recruitment Team.

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.

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.

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

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.

Description Onera Health is a leader in transforming sleep medicine and remote monitoring. Our breakthrough diagnostic solutions and services are poised to help millions of people struggling with sleep-related ailments, while also impacting other medical fields by monitoring a variety of chronic conditions, ultimately improving the health and quality of life for patients around the world. The company’s innovative solutions provide comprehensive sleep test data to physicians in a variety of clinical and non-clinical environments to optimise patient care and reduce healthcare costs. Onera’s FDA-cleared and CE-marked home polysomnography (hPSG) platform delivers lab-quality diagnostics in the home through a fully integrated “PSG-as-a-Service” model. The UK is a priority market in Onera’s European expansion. In the UK, Onera goes to market through a clinical service provider partner rather than selling direct. The partner brings established NHS relationships and a top-down route into hospitals at executive level; Onera’s Clinical Sales Specialist works alongside them in the field — managing that partnership day to day and building demand from the bottom up at the clinical and departmental level, where sleep diagnostics credibility matters most. This is deliberately not a traditional, quota-closing field sales role. The close is driven through the partner’s executive-level motion. Your job is to create clinical pull — winning the confidence of sleep and respiratory teams, demonstrating the platform, and enabling the partner’s commercial engine — so that demand and adoption build underneath it. Success depends on clinical fluency and partner enablement far more than on personal deal-closing. Key Responsibilities Partner & Channel Management • Manage the relationship with Onera’s UK clinical service provider partner in the field, acting as the day-to-day point of contact and ensuring alignment between the partner’s commercial activity and Onera’s clinical priorities., • Enable and support the partner’s teams — equipping their representatives to position Onera accurately, and complementing their top-down, executive-level route into hospitals with clinical depth from the field., • Coordinate joint account planning with the partner, identifying target hospitals and sleep services and aligning on how each opportunity is progressed. Bottom-Up Clinical Demand Creation • Build demand from the clinical level up — winning the confidence of sleep physicians, respiratory teams, neurophysiology units, and sleep-laboratory staff so that clinical pull supports the partner’s top-down approach., • Engage credibly at peer level with consultants on sleep disorders — obstructive sleep apnoea, central sleep apnoea, narcolepsy, RLS/PLMD, and parasomnias — and on the wider diagnostic pathway (respiratory polygraphy, HSAT, CPAP titration, actigraphy, MSLT/MWT)., • Demonstrate and train clinical staff on the Onera platform unaided, drawing on hands-on familiarity with full diagnostic polysomnography — multi-channel attended studies including EEG, EOG, EMG, ECG, airflow, respiratory effort, SpO₂, and body position — and an understanding of manual sleep staging and event scoring to AASM guidelines, not just auto-scoring., • Build visibility with UK sleep-medicine KOLs and engage with national bodies such as the British Sleep Society and the ARTP. Territory Coverage & Field Execution • Cover the United Kingdom as Onera’s sole field-based representative, prioritising across regions, qualifying hard, and concentrating effort where clinical adoption can build rather than spreading too thin., • Maintain disciplined CRM hygiene and pipeline visibility, self-managing a national field role and giving Onera and the partner a clear, current picture of clinical engagement and opportunity., • Act as the clinical and commercial point of contact in the field, troubleshooting product-related questions and escalating to the appropriate internal stakeholders where needed. Market Intelligence & Collaboration • Track market trends, competitor activity, and customer feedback to inform product positioning and the UK partner strategy., • Collaborate with cross-functional teams across marketing, product, customer success, and clinical to align field activity with the wider commercial plan. Requirements • Clinical sleep background. Formal clinical background in sleep or respiratory diagnostics — e.g. registered sleep/respiratory physiologist, clinical scientist (Healthcare Science), or RPSGT — with the ability to demonstrate and train clinical staff unaided. Strongly preferred; exceptional candidates with deep, hands-on sleep/respiratory diagnostic exposure and genuine peer-level clinical credibility will also be considered., • Clinical credibility in the field. Able to hold peer-level conversations with consultants and clinical teams and to build confidence and adoption at the departmental level., • Commercial or clinical-specialist experience. A track record in a clinical sales specialist, clinical application, or field clinical role in medical devices or diagnostics — or a clinical background combined with clear commercial instinct., • Self-managing field discipline. Comfortable self-managing a national field role with sound CRM and pipeline discipline., • National coverage & travel. Willingness to travel extensively across the UK, with the autonomy to prioritise across regions., • Fluent English and excellent communication and interpersonal skills, with the ability to build trust-based relationships with clinical stakeholders and partner teams. Benefits • Remote / hybrid working model, with the technical equipment to set up your home office, • A competitive compensation package, • An open, collaborative company culture grounded in shared mission and team engagement, • The opportunity to join a scale-up at a defining commercial moment in sleep diagnostics

This role sits as part of a multidisciplinary squad, collaborating with other Machine Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers.

Jet is seeking a Senior Data Scientist to lead high-impact data science initiatives from concept through deployment and monitoring.

About easyJet We are easyJet – a FTSE‑100 listed, multi‑billion pound low‑cost airline that serves tens of millions of customers each year.

Data Scientist Senior Manager (17117) We are easyJet – a FTSE-250 listed, £multi‑billion low‑cost airline that serves tens of millions of customers each year.We fly more than 1,207 routes, connecting 38 countries across Europe, employ more than 18,000 colleagues and are on a mission to make

A leading technology consulting firm in Luton is seeking a Data Scientist for their Centre of Excellence.

Leonardo UK is seeking a Data Scientist to turn complex data into powerful business decisions.

Senior Data Scientist - Hertfordshire. As a Data Scientist, you'll play a key role in turning data into insight-building machine learning models and analytical solutions that help us make better, more informed decisions across the business. Senior Data Scientist on complex or high-impact decisions.

Specialist Biomedical Scientist - HCA Laboratories. Specialist Biomedical Scientist - Haematology. We're looking for a Specialist Biomedical Scientist to join our Haematology team at HCA Laboratories at Shropshire House in London.

ASOS is seeking a Principal Applied Scientist to shape and scale Applied Science across the business.

Klarna is seeking a Lead Data Scientist to shape the next generation of consumer-level credit scoring and portfolio valuation models.

Collaborate with an interdisciplinary team of dry and wet lab scientists to inform and improve our models and systems.

Interventional Study Scientist Medical Director.

A fast-scaling RegTech startup is looking for a Senior AI Engineer to help shape and scale its next-generation regulatory change management platform, powered by GenAI and automation.Backed by a major global bank and already working with several high-profile financial institutions, the company combin

We're looking for a Lead Data Scientist to help shape the next generation of consumer-level credit scoring and portfolio valuation models. As a Lead Data Scientist within credit risk modeling, you will shape Klarna's next-generation consumer-level credit scoring and portfolio valuation models.

IAG Loyalty, a leader in travel and loyalty experiences, is seeking a commercially minded Data Science Lead to join the Data Products Leadership Team in London.The role blends technical leadership with hands-on delivery across ML solutions that drive customer engagement, profitability and growth acr

You will work closely with other scientists and software engineers to provide technical leadership and strategic direction, shaping the technical vision by bringing leading-edge AI technology into our product, contributing to production systems, and making high-impact decisions that influence the co

We're looking for a Staff Data Scientist to be the technical lead across Ripple's diverse product and business portfolio. You'll operate as a force multiplier – solving the hardest problems, building the frameworks others reuse, and levelling up data scientists across teams.

A fast-scaling RegTech startup is seeking a Senior AI Engineer to ensure the quality of AI outputs and design cutting-edge solutions.This role requires a proven record in delivering impactful ML/AI solutions and deep expertise in Python and modern frameworks like PyTorch and TensorFlow.The ideal can

Provenir in United Kingdom is seeking a senior data scientist to own the identity graph strategy and product capabilities, working hands-on from day one.

Dex in London is seeking a Staff Data Scientist to lead the data strategy and product impact, combining hands-on ML with cross-functional leadership to optimize user incentives and scalable analytics.

Ripple is seeking a Staff Data Scientist to serve as the technical lead across its product and business portfolio.

As Principal Data Scientist, you’ll set methodological direction for signal extraction and ML modelling, driving the most complex, high‑impact problems and guiding the team’s approach.

A major international transport company is seeking a Senior Operations Research Data Scientist for a contract role focused on optimising logistics and operational efficiency.

Sony Interactive Entertainment in London is seeking a Senior Data Scientist focused onPlatform Economics and Simulation.

Senior Data Scientist to lead advanced optimisation projects and shape robust ML architectures that improve payment flows.

Data Science Festival is seeking a Staff Data Scientist based in London, offering a salary of £120K – £140K plus equity.

Senior Operations Research Data Scientist Contract | £600-£900/day | Hybrid London. They are not looking for purely analytical data scientists or academic optimisation specialists.

Along with our Lead Data Scientist, our Data Scientists serve as our primary delivery resource for consulting, study-design, analytics/ML and statistical inferencing. As aData Scientist,you will work with our partners to design, develop, and deploy production-grade solutions to social good problems.

IMC Trading is seeking a Principal Research Scientist to define and accelerate its long-term machine learning research agenda within Systematic Equities.

We see the world differently at Capstone Investment Advisors.Capstone Investment Advisors, LLC (“Capstone”) is a global asset manager, dedicated to exploring alpha opportunities in derivatives and complementary strategies that persist across market cycles.AUM (as of May 1, 2026) and 306 employee

Wise is seeking a talented quantitative developer to join the Treasury Markets Data Science team.You will own the production infrastructure that powers FX pricing, risk and trading systems with real-time performance and reliability.You will collaborate with quants, traders, analysts and engineers to

NielsenIQ is seeking a Principal Data Scientist to shape high‑impact, client‑relevant Data Science concepts and ensure strategic coherence across teams and domains.

Senior Data Scientist - Platform Economics & Simulation.