226 to 250 of 399 Machine Learning Engineer Jobs in London

Founding Machine Learning Engineer - AI Start-Up (On-Site | Equity + Salary) A rare opportunity to join one of London’s most exciting AI start-ups at the ground level! Backed by top-tier investors and led by a world-class founding team from Oxford, Cambridge, and Imperial , this company is pushing the boundaries of applied AI. … They’re now looking for a Founding Machine Learning Engineer to join the core technical team and lead the development of their ML systems from the ground up. 🤖 About the Company: Founded by experienced operators with multiple AI start-up successes under their belts, this venture is already attracting serious attention. With strong financial backing and a … world problems. This is not just another AI start-up - it’s a company where cutting-edge research meets practical, scalable product development. 🧠 The Role: As a founding ML engineer, you’ll be deeply involved in shaping the entire ML pipeline - from research and prototyping to model deployment and optimisation. You’ll work closely with product and engineering to More ❯

Founding Machine Learning Engineer - AI Start-Up (On-Site | Equity + Salary) A rare opportunity to join one of London’s most exciting AI start-ups at the ground level! Backed by top-tier investors and led by a world-class founding team from Oxford, Cambridge, and Imperial , this company is pushing the boundaries of applied AI. … They’re now looking for a Founding Machine Learning Engineer to join the core technical team and lead the development of their ML systems from the ground up. 🤖 About the Company: Founded by experienced operators with multiple AI start-up successes under their belts, this venture is already attracting serious attention. With strong financial backing and a … world problems. This is not just another AI start-up - it’s a company where cutting-edge research meets practical, scalable product development. 🧠 The Role: As a founding ML engineer, you’ll be deeply involved in shaping the entire ML pipeline - from research and prototyping to model deployment and optimisation. You’ll work closely with product and engineering to More ❯

Machine Learning Engineer – Founding Team (Computer Vision/GenAI) Location: Remote-first (UK-based) | Salary: £50k–£70k + Equity A well-backed, early-stage startup is building a cutting-edge AI platform that transforms real-world visitor experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre-seed … investment, we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems. What You’ll Work On: Computer Vision: Enable the system to recognise what users are viewing in real time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO, MobileNet). More ❯

to become largest disseminator of knowledge in the world. In fact, we're probably one of the largest already. Our platforms can be viewed here: www.beamazed.media We need a machine learning engineer to work in our growing, dynamic team. We are building internal products to help our team perform, execute and excel at their job. These tools … our content which help to inform and shape our future content pipeline. We are looking for an entrepreneurial mindset to optimise our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video data. You must be organised … for more than just a job. You should aspire to lead and own a media company one day as this position holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s performance; Building Interactive Dashboards More ❯

to become largest disseminator of knowledge in the world. In fact, we're probably one of the largest already. Our platforms can be viewed here: www.beamazed.media We need a machine learning engineer to work in our growing, dynamic team. We are building internal products to help our team perform, execute and excel at their job. These tools … our content which help to inform and shape our future content pipeline. We are looking for an entrepreneurial mindset to optimise our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video data. You must be organised … for more than just a job. You should aspire to lead and own a media company one day as this position holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s performance; Building Interactive Dashboards More ❯

Principal Machine Learning Engineer - Chat United Kingdom We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know. About Cleo Most people come to Cleo to do … Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being. Machine Learning Engineers at Cleo work on building novel solutions to real-world problems. This really does vary but could be: creating chatbots to coach our users around their … financial health, creating classifiers to better understand transaction data or even optimising transactions within our payments platform. Ultimately, we’re looking for a brilliant Principal Machine Learning Engineer to join us on our mission to fight for the world's financial health. You’ll be leading technical work within a team of adaptable, creative and product-focused More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to … build beneficial AI systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring … reinforcement learning for agentic/open-ended tasks. Representative projects: Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models. Create tools and environments for models to interact with, enabling them to perform complex, open-ended tasks. Design and run experiments to enhance models' reasoning capabilities, particularly in code generation and More ❯

Madrid, and Brussels. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey! Job Description Junior Machine Learning Engineer Location (Hybrid, 40% in office) £40,000 + Benefits Introducing Signalbox at Trainline Signalbox is a pioneering technology that uses location data and machine-learning algorithms to detect, track, and map trains in real time. By leveraging the location data in our smartphones, Signalbox can identify the train a device is on, and deliver personalised real-time information direct to travellers. Signalbox is a growing team that’s increasingly integrated across the organisation, driving the delivery of geolocation-enhanced tools and features … from ideation to production. We are looking for a Geospatial Machine Learning Engineer to join the Signalbox team within Trainline. This team is focused on building innovative train tracking and mapping tools that use machine learning to improve the rail passenger experience. In this role, you will collaborate with our research and development team, which More ❯

global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics … does not provide visa sponsorship. 🚀 What You'll Do As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating … critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in Machine Learning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯

global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics … does not provide visa sponsorship. 🚀 What You'll Do As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating … critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in Machine Learning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯

Social network you want to login/join with: Are you interested in harnessing machine learning to power new personalisation experiences for travellers? Do you believe that modern online experiences should adapt to the needs and preferences of individual users? Are you fascinated by data, machine learning techniques, and software systems engineering? Do you love building … cloud infrastructure. Coding proficiency in at least one modern programming language (Java, Scala, Python etc.). Strong background in data structures and algorithms Experience working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, etc) Experience working with big data technologies (Spark, Kafka, Hive, Databricks, feature stores, etc). Experience working with containerisation, deployment and orchestration technologies More ❯

Social network you want to login/join with: Principal Machine Learning Engineer, london col-narrow-left Client: ShareChat Location: london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 5 Posted: 12.05.2025 Expiry Date: 26.06.2025 col-wide Job Description: Who are we and What do we do? From the humble … our creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, bandits, causal inference, optimization, ranking and recommendation. AI - Our AI teams are spearheading the research and development, presenting innovations at various conferences. Explore our team’s publications and research … here. What You’ll Do? As a Principal Machine Learning Engineer in the ShareChat AI team, you will play a pivotal role in defining and executing the ML strategy across key business domains. You will serve as one of the senior-most individual contributors in machine learning, with opportunities to lead and contribute to multiple More ❯

Social network you want to login/join with: Machine Learning Engineer - Operational Research, London col-narrow-left Client: Deliveroo Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 7b74143f5c92 Job Views: 5 Posted: 22.06.2025 Expiry Date: 06.08.2025 col-wide Job Description: The Data & Science Org At Deliveroo, we … have a world-class data and science organisation with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams to answer some of the most interesting questions out there. For example, how can we connect restaurants, riders and customers most efficiently in order to deliver food … of the tough problems we are solving at Deliveroo. There is no challenge that cannot be yours; the scope for growth and personal impact is enormous. Data Scientists and Machine Learning Engineers at Deliveroo belong to an expert, thoughtful, and active community with guest lecturers, a robust technical review process, a career progression framework, and plenty of opportunities More ❯

Voluntary Benefits Health Cash Plan, Dental, Will Writing etc Annual Leave 23 days rising to 27 with length of service Sick Pay Increasing with length of service Role overview: Machine Learning Engineer (Manchester or London, Hybrid working) We are looking for an experienced Machine Learning Engineer to join a newly formed data science team. … currently in Databricks and Azure) Experience with Databricks Experience with managed endpoints, AKS or equivalent Experience with VCS Experience with CI/CD Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights … clients to engage, develop and harness the skills they need to achieve and grow the workforce they want. Our culture: At Peregrine we embrace fresh ideas, and we love learning fast. Our solutions are trusted and established, so we have the confidence of knowing we have a solid foundation. We rely on openness and honesty, and were always ready More ❯

Machine Learning Operations (MLOps) Engineer Flexible Location – Ipswich, London or Selby Permanent, full time Closing date - 2 July 2025 Who we are We’re not just talking about making a difference, we’re making it happen. We generate dispatchable, renewable power and create stable energy in an uncertain world. Building on our proud heritage, we have ambition … champions. We’re enabling a zero carbon, lower cost energy future for all, and working hard to decarbonise the planet for generations to come. About the role As a Machine Learning Operations (MLOps) Engineer, you’ll be responsible for managing, releasing and monitoring Machine Learning (ML) and Artificial Intelligence (AI) artefacts using automated frameworks. You … TensorFlow, PyTorch, Keras, Scikit-Learn) - Working knowledge of object-oriented programming and unit testing in Python - Working knowledge of application and information security principles and practices (e.g. OWASP for Machine Learning) - Working knowledge of Unix-based CLI commands, source control and scripting - Working knowledge of containerisation (e.g. Docker) and container orchestration (e.g. Kubernetes) - Working knowledge of a cloud More ❯

Get started with your online application Not quite your dream role? Sign up to get notified when the right vacancy comes along. Senior Machine Learning Engineer The Data + Science Team At Deliveroo we have a world-class data & science organisation, with a mission to enable the highest quality human and machine decision-making. We have … over 200 Machine Learning Engineers, Data Scientists, Data Analysts, and Analytics Engineers working throughout the company in product, business and platform teams. We have a strong, active data science community, with guest lecturers; a robust technical review process; a career progression framework; and plenty of opportunities to learn new things. The Role We are hiring several Senior MLE … teams across all sides of our marketplace (consumer, delivery, restaurants, grocery, and retail). Our interview process is team-agnostic. As an MLE, you will develop the algorithmic and machine-learning systems that power Deliveroo. You will work in a cross-functional team alongside engineers, data scientists and product managers to develop systems that make automated decisions at More ❯

Senior/Lead Machine Learning Engineer (Predictions) London We’re very proud of our achievements: In July 2024, we secured a $200M investment led by General Atlantic to help revolutionise women’s health, and became the first purely digital consumer women’s health app to achieve unicorn status! We’ve had 380M+ downloads, have over 70M monthly … s most popular female health app! Our engineers aren’t just building a better product; they’re making the world a better place by improving female health. We leverage Machine Learning and AI to create a more personalised experience for our users, from providing more accurate cycle predictions to delivering relevant, personalised, and medically credible health insights. We … are looking for a Machine Learning Engineer to join the Predictions team. This team focuses on one of the cornerstone features of the Flo Health app: delivering accurate predictions to our users about their cycles and more. We develop state of the art solutions to provide the most accurate predictions to our users on the app. To More ❯

Lead Machine Learning Engineer - Forecasting (3-Month Contract) Location: Hybrid (minimum 1 day/week in our Vauxhall, London office) Contract Type: Full-time, Fixed-Term (3 months) Salary: Competitive, based on experience Eligibility: UK-based applicants only About Oddbox Oddbox is on a mission to fight food waste and transform the food system through our fruit … we're just getting started. As we scale our environmental impact, we're investing in smarter technology and forward-looking ML capabilities. We're now seeking an accomplished Lead Machine Learning Engineer to spearhead innovation in forecasting and customer behaviour modelling , enabling more sustainable, data-driven operations. About the Role This is a contract-to-impact opportunity … is a rare opportunity to make an immediate, mission-driven impact at a company that values experimentation, autonomy, and sustainability. If you're a Lead or Staff-level ML Engineer ready to shape forecasting strategy and ship high-leverage systems, we'd love to hear from you. More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to … build beneficial AI systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring … reinforcement learning for agentic/open-ended tasks. Representative projects: Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models. Create tools and environments for models to interact with, enabling them to perform complex, open-ended tasks. Design and run experiments to enhance models' reasoning capabilities, particularly in code generation and More ❯

are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary We are looking for a full-time Machine Learning Engineer, with deep knowledge and strong enthusiasm towards establishing a state-of-art AI infrastructure for training very large foundation models and accelerating model training/… inference. Our mission is to solve the autonomous driving problem. You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning models which will enable the next-generation E2E solution of autonomous driving. Responsibilities Design, train, and deploy large deep learning More ❯

team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Role Overview: We are looking for an independent, dedicated Senior or Staff Machine Learning Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s … mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. What you’ll be doing: Develop and improve core generative models for graphics and video processing for a variety of applications, such as … the team in core R&D work with other teams within Sony Interactive Entertainment What we’re looking for: PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post Strong background in: TensorFlow or PyTorch; Python More ❯

The AI & ML Applications team is committed to empower other Zepz teams to leverage data in order to solve analytical problems. We are a team of data scientists and machine learning engineers that work together to go from ideation to production. We own end-to-end data engineering pipelines and ML models that span multiple applications (think fraud … build. Our current tech stack includes Airflow, Fivetran, DBT, Databricks as well as supporting real-time services. Our work is primarily in Python, leveraging some of the most used machine learning packages but you may have to dig into JVM code as well as Terraform from time to time. You will build and maintain data pipelines and scalable … machine learning inference systems in production. Own delivery. We're driven by shipping value; you'll own work beyond just a pull request. You'll care about bugs, scalability, uptime and other non-functional requirements. Grow together. You'll review other's work and happily seek feedback on yours to ensure we build a better codebase and sharpen More ❯

that empower content developers worldwide. What You'll Do You will work with our team of applied research engineers at the intersection of computer vision, natural language processing and machine learning to create state-of-the-art tools to support game developers in our ecosystem, as well as automation of a number key areas, including localization, moderation, and … testing. You will be responsible for the design, implementation and deployment of production-ready machine learning models that can be integrated in our ecosystem, with various applications (e.g. content generation, development assistants, etc.). In this role, you will Create and deliver production-ready, scalable and high-quality machine learning models and associated algorithms Critically assess …/creation of new ones What we're looking for PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience Experience creating/applying machine learning algorithms for vision (2D or 3D) or language problems and deploying them as production-level systems Expert, hands-on knowledge of: Deep learning, incl. but not More ❯

Cloud product targeting Anti-Money Laundering. We exist to deploy technologies that make a measurable difference in tackling financial crime. Who are we looking for? We are looking for machine learning engineers to build and deploy repeatable data and machine learning pipelines, web apps, and end-to-end systems for AI products on our banking client … strategies for system and architecture design, preferably within financial services or another complex or regulated industry. Desirable Experience of financial crime and transaction monitoring. Experience of working with managed machine learning APIs. Tech stack We expect to test some of these during the interview process. Must Proficiency with Python in an organized code base for data pipelines and … machine learning. Proficiency with data manipulation languages and carrying out data analysis and hypothesis testing - Advanced SQL OR Python. Experience with big data technologies and data platforms - we use BigQuery, Apache Ibis, SQLGlot, DBT. You might have experience with Hadoop, Hive, Redshift, Snowflake, Spark or similar. Experience with Version control/CI/CD - we use Git and GitHub More ❯

colleagues a blend of working from home and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you! We are looking for Machine Learning Engineers at Senior and Mid Level to join our growing team, to develop and deploy core ML/AI algorithms required to tackle data science challenges across … quality code and carrying out automated builds and deployments, working closely with colleagues in the Data Science team as well as stakeholders across the business. Responsibilities Develop high-quality machine learning models to solve business challenges Develop production quality code and carry out basic automated builds and deployments Write comprehensive, well-written documentation that meets our needs Identify … work on multiple data science projects and manage deliverables Qualifications Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling, and software architecture Solid understanding of classical Machine Learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost, etc.), state-of-the-art research areas (e.g., NLP, Transfer Learning, etc.), and modern Deep Learning algorithms (e.g. More ❯