76 to 100 of 405 Machine Learning Engineer Jobs in London

As a Senior Machine Learning Engineer at On, you'll play a critical role in the full lifecycle of our machine learning models. Besides being responsible for training and deploying models, you will spearhead our MLOps initiatives to ensure their seamless and efficient integration and operation in production. This includes championing MLOps best practices, enhancing … to optimize performance and reliability. Your Mission Lead the implementation and continuous improvement of our MLOps strategy, establishing best practices for model development, deployment, and monitoring. Create and train machine learning models to solve specific business problems, such as product recommendations, customer segmentation, and demand forecasting. Implement such models into production systems to make predictions, drive real-time … and tooling to support efficient and scalable model deployment, including CI/CD pipelines and automated testing. Implement and own Terraform to manage and provision our cloud infrastructure for machine learning operations. Oversee the transition to a real-time streaming architecture for our machine learning applications, ensuring efficient data ingestion, feature engineering, and model serving in More ❯

to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. DigitalGenius is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest ecommerce customer service operations in the world, as well as high-growth companies. We're a dedicated team of thoughtful and hard … service through the application of artificial intelligence. Role The continuous improvement of our products and the range of innovation projects we are committed to require us to scale our Machine Learning team. We are searching for a Machine Learning Engineer to join our core AI Team. This is a highly technical role for an outstanding … individual who can take ownership of projects and start new initiatives. As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product's performance for our customers. Your time will be divided between improving the core product, researching and developing More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware … systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement … optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware … systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement … optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate More ❯

Senior Machine Learning Engineer (UK-based, Remote/Hybrid) We're looking for a seasoned ML Engineer to take a lead role in building and integrating production-grade AI and generative AI features across a platform used by thousands. This is a hands-on engineering role where you'll design, deploy, and optimise systems that power More ❯

radically expand what robots can do in industrial and commercial environments, making automation more accessible, flexible, and impactful across multiple industries. About the Role The company is seeking a Machine Learning Engineer to implement and integrate cutting-edge AI systems for robotics applications. You'll research and implement advanced learning algorithms, build scalable data pipelines, and … translate breakthrough research into production systems. This role offers the opportunity to work on foundation models for robotics, multi-embodiment learning, and the infrastructure that will accelerate robotics development across industries. Key Responsibilities Translate research to production by implementing state-of-the-art algorithms from top-tier conferences into deployed systems Train deep learning models that handle multi … target applications Utilise existing training infrastructure leveraging multi-GPU systems and distributed computing for large-scale model training Create experimentation frameworks for large-scale evaluation and testing of robot learning approaches Required Skills Advanced degree (PhD, Master's, or equivalent experince) in Computer Science, Robotics, Machine Learning, or related field Strong research background with publications at venues More ❯

radically expand what robots can do in industrial and commercial environments, making automation more accessible, flexible, and impactful across multiple industries. About the Role The company is seeking a Machine Learning Engineer to implement and integrate cutting-edge AI systems for robotics applications. You'll research and implement advanced learning algorithms, build scalable data pipelines, and … translate breakthrough research into production systems. This role offers the opportunity to work on foundation models for robotics, multi-embodiment learning, and the infrastructure that will accelerate robotics development across industries. Key Responsibilities Translate research to production by implementing state-of-the-art algorithms from top-tier conferences into deployed systems Train deep learning models that handle multi … target applications Utilise existing training infrastructure leveraging multi-GPU systems and distributed computing for large-scale model training Create experimentation frameworks for large-scale evaluation and testing of robot learning approaches Required Skills Advanced degree (PhD, Master's, or equivalent experince) in Computer Science, Robotics, Machine Learning, or related field Strong research background with publications at venues More ❯

radically expand what robots can do in industrial and commercial environments, making automation more accessible, flexible, and impactful across multiple industries. About the Role The company is seeking a Machine Learning Engineer to implement and integrate cutting-edge AI systems for robotics applications. You'll research and implement advanced learning algorithms, build scalable data pipelines, and … translate breakthrough research into production systems. This role offers the opportunity to work on foundation models for robotics, multi-embodiment learning, and the infrastructure that will accelerate robotics development across industries. Key Responsibilities Translate research to production by implementing state-of-the-art algorithms from top-tier conferences into deployed systems Train deep learning models that handle multi … target applications Utilise existing training infrastructure leveraging multi-GPU systems and distributed computing for large-scale model training Create experimentation frameworks for large-scale evaluation and testing of robot learning approaches Required Skills Advanced degree (PhD, Master's, or equivalent experince) in Computer Science, Robotics, Machine Learning, or related field Strong research background with publications at venues More ❯

time image-to-image transformation models, with a special focus on 3D applications and rendering engine integration . Leveraging the latest in GANs, diffusion models, and large-scale deep learning, our research-driven team values autonomy, creativity, and technical excellence. Join us to help shape the future of real-time 2D/3D generative AI in a highly collaborative … and innovative environment. Role Description We are seeking a Machine Learning Engineer – Generative AI to join our onsite team in London. In this role, you will design, implement, and optimize advanced generative AI models for real-time image and 3D applications, collaborating closely with experts in computer graphics and rendering. You’ll have the opportunity to work … on some of the most technically challenging problems at the intersection of deep learning and real-time 3D systems. Minimum Qualifications Ph.D. in Computer Science, Mathematics, Electrical Engineering, or a related field; or Master’s degree with 2+ years of relevant industry experience; or Bachelor’s degree with 4+ years of relevant industry experience. Strong expertise in deep learning More ❯

time image-to-image transformation models, with a special focus on 3D applications and rendering engine integration . Leveraging the latest in GANs, diffusion models, and large-scale deep learning, our research-driven team values autonomy, creativity, and technical excellence. Join us to help shape the future of real-time 2D/3D generative AI in a highly collaborative … and innovative environment. Role Description We are seeking a Machine Learning Engineer – Generative AI to join our onsite team in London. In this role, you will design, implement, and optimize advanced generative AI models for real-time image and 3D applications, collaborating closely with experts in computer graphics and rendering. You’ll have the opportunity to work … on some of the most technically challenging problems at the intersection of deep learning and real-time 3D systems. Minimum Qualifications Ph.D. in Computer Science, Mathematics, Electrical Engineering, or a related field; or Master’s degree with 2+ years of relevant industry experience; or Bachelor’s degree with 4+ years of relevant industry experience. Strong expertise in deep learning More ❯

Join to apply for the Machine Learning Engineer role at Trainline Join to apply for the Machine Learning Engineer role at Trainline About Us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers … Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine Learning Is At The Heart Of Trainline's Mission To Help Millions Of People Make Sustainable Travel Choices Every Day. … our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders across the business to expand the understanding and impact of machine More ❯

Senior Machine Learning Graphics Engineer United Kingdom, London Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios … and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. The role We are seeking an experienced machine learning engineer to join our team and use ML in real-time computer graphics applications. This is an outstanding opportunity to work at the forefront of technology … build the low-level SDKs and fundamental technologies used by our game development partners to build PlayStation Games. Our team is dedicated to working on the latest GPU and Machine Learning technologies to deliver the next generation of high-performance computer graphics for PlayStation. What you’ll be doing: Developing and refining ML models and architectures for computer More ❯

large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. … use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. As an ML Research Engineer, you will be working on exciting initiatives such as anomaly detection in bond time series data, dividend forecasting, gas emission estimation, and financial impact of controversies. Join us as … a Senior ML Research Engineer and you will have the opportunity to: Collaborate with colleagues on production systems and write, test, and maintain production quality code Design, train, experiment, and evaluate ML models, algorithms and solutions Demonstrate technical leadership by owning cross-team projects Stay current with the latest research in AI and incorporate new findings into our models More ❯

a part of the AI revolution! About DeepPCB: DeepPCB is InstaDeep's AI-powered Place & Route PCB (Printed Circuit Board) design tool. We use a combination of deep reinforcement learning and high-performance computing to automate and scale PCB place-and-route workflows, accelerating hardware innovation globally. We are looking for a Machine Learning Engineer to … join the DeepPCB team and help push the boundaries of AI for electronic design automation (EDA). You will develop, optimize, and deploy cutting-edge machine learning and reinforcement learning models focused on automating complex PCB design problems, working closely with researchers and engineers to bring ideas to life. Responsibilities: Develop scalable and efficient machine learning … adjusting technical depth based on the audience. Participate in technical discussions, design reviews, and customer-facing activities when required. Requirements: B.Sc ., M.Sc ., or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related technical field. 2-5 years of professional experience in applied machine learning or engineering roles. Strong expertise in Machine More ❯

AI the right way - ensuring transparency, fairness, and accessibility. This is a hard problem, and we need brilliant minds to help us solve it. The Opportunity As an ML Engineer, you'll help us index, benchmark, and evaluate training datasets at scale. Your expertise with data, AI and ML training methodologies and evaluation techniques will advance the state of … Our Ideal Candidate Must Haves: Hands on experience developing and deploying ML models and ML data pipelines in production. Strong Statistical Analysis & Data Evaluation, you're comfortable developing or learning to develop custom metrics, identify biases, and quantify data quality. Strong Python skills for Data & Machine Learning, familiarity with PyTorch and TensorFlow. Experience with distributed computing and … and experiences can be built in many ways. We look forward to hearing from you. Apply for the job Do you want to join our team as our new Machine Learning Engineer? Then we'd love to hear about you More ❯

Staff Machine Learning Engineer, Anomaly Detection United Kingdom, London Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation … bugs and glitches in game streams. This is a unique opportunity to contribute to a global effort in making our QA processes more efficient and effective. As a Staff Machine Learning Engineer in Anomaly Detection, you will be the technical lead in a research team focused on advancing our anomaly detection technology, driving technical excellence and innovation. … The team will design, implement, and optimize advanced algorithms and machine learning models to detect anomalies in game streams. Your expertise will help shape the future of gaming by ensuring high-quality player experiences. What you'll be doing: Anomaly Detection Development: Design, develop, and implement novel anomaly detection algorithms to automatically identify bugs and glitches in game More ❯

that source, extract and package data to create the ultimate private company database for the UK and, as of recently, Germany too. Through a combination of people power and machine learning, our platform helps 20+ different industries invest in, understand, and partner with these exciting businesses. We're at a pretty exciting stage right now—we've built … helps every organisation discover, understand, and work better with the UK's private companies. (read more about our exciting engineering team on our dedicated notion page): The role Our Machine Learning team is expanding into three key areas: [1] enabling us to significantly expand the depth and breadth of our data, [2] empowering our Data Team to handle … decisions. Day-to-day your responsibilities might include: Research & Evaluation: Understand the specifics of a business requirement and assess whether it could be improved by a data product or machine learning solution Develop Proofs of Concept: Start with a problem, investigate possible solutions, and create a proof of concept to assess whether it can be solved with the More ❯

scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. About the role 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 … engineers, who train & integrate cutting edge machine learning across a variety of products and deploy them into production for millions of users. We understand our customers, we understand their pain, and we are passionate about helping them. What you’ll be doing Training and fine-tuning models to solve customer problems across our chatbot and the bank transaction More ❯

and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. The role We are seeking an experienced machine learning engineer to join our team and use ML in real-time computer graphics applications. This is an outstanding opportunity to work at the forefront of technology … build the low-level SDKs and fundamental technologies used by our game development partners to build PlayStation Games. Our team is dedicated to working on the latest GPU and Machine Learning technologies to deliver the next generation of high-performance computer graphics for PlayStation. What you’ll be doing: Developing and refining ML models and architectures for computer … engineers. Working with technical leads, engineers, and project managers to plan goals and objectives. What we’re looking for: A degree or equivalent experience in Computer Science, Artificial Intelligence, Machine Learning, or a related field; advanced degrees are a plus. Strong experience in ML model development and neural networks, possibly with a research focus. Experience in training, validation More ❯

expansion and to grow our team. This represents one of the five largest Series A rounds in Europe for 2024! The Role We’re looking for a Senior Software Engineer/ML to join our AI team to bring our latest AI-driven features and services into production. Deploying them at scale, improving infrastructure, and ensuring robustness in production. … build products which understand them deeply. Strive for excellence - We’re ambitious and moving fast. The whole business is pushing to be a category defining legal tech company. Constantly learning and experimenting - We’re at the cutting edge of using AI to directly improve people’s lives. We take a blue-sky but pragmatic approach to how we apply … scaling distributed AI workloads . Experience working with cloud platforms (AWS, GCP etc) . Understanding of best practices in observability, monitoring, and debugging . Nice to Have Experience deploying machine learning models to production (ML Ops experience a plus). Experience with Vector Databases and AI Model Serving Benefits 34 Holidays (25 days annual leave + your birthday More ❯

scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. About the role 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 … engineers, who train & integrate cutting edge machine learning across a variety of products and deploy them into production for millions of users. We understand our customers, we understand their pain, and we are passionate about helping them. What you'll be doing Training and fine-tuning models to help customers get more value from our chatbot and app More ❯

leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being. Team At Woven by Toyota, we are at the forefront of developing advanced Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques … in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision scenarios. We're seeking passionate innovators and creative problem-solvers eager to redefine mobility through cutting-edge AI and robotics, contributing directly to shaping the future of self-driving technology. Woven … experimentation, evaluation, and deployment; Able to navigate ambiguities and address uncertainties arising from complex projects involving multiple teams and legacy codebases; Writes high-quality code while being rigorous with Machine Learning experimentation; Collaborate closely with stakeholders from multiple teams in different time zones to define interfaces and requirements for an end-to-end stack; Experience MS, or higher More ❯

Machine Learning Engineer II, AWS Just-Walk-Out Science Team Job ID: 2970355 | Amazon.com Services LLC As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by … Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, deep learning, and foundation models. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who … want to join an ambitious program that continues to push the state of the art in computer vision, deep learning, real-time and distributed systems, and hardware design. Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. The team works on designing autonomous More ❯

Machine Learning Engineers - GenAI [UAE Based] AI71 is an applied research team dedicated to creating helpful and responsible AI agents for knowledge workers. Working closely with our industry partners, our cross-functional teams of AI experts build products grounded in the cutting edge research of our colleagues from the Technology Innovation Institute (TII). Job Description: Are you … based on real-world performance and evolving business needs. Implement and maintain data preprocessing pipelines to ensure the quality and reliability of input data. Stay abreast of advancements in machine learning and data science techniques, applying them to improve model accuracy. Communicate findings and insights effectively to both technical and non-technical stakeholders. What You'll Bring: 5+ … years of experience in AI, Machine Learning, RL, data science or a related field. Familiarity and proven experience in using LLMs/fine-tuning LLMs. Master's or Ph.D. in AI, Data Science, Statistics, Computer Science, or a related field. Proficient in programming languages such as Python or R. Candidates with awards in ACM/ICPC, NOI/ More ❯

Machine Learning Engineer London (Hybrid) Up to £65,000 Greenfield work One of La Fosse’s best clients are currently seeking a talented ML Engineer for their greenfield AI team. Join a cutting-edge innovation department within a fast-paced financial environment, helping to shape the next generation of intelligent compliance tools. I’m looking for … a Machine Learning Engineer to join a small & agile development team focused on building out a greenfield AI-powered transaction monitoring platform. You'll work on everything from ML model development and GenAI summarisation pipelines to MLOps and multi-agent systems—with real-world impact on financial security and compliance. What You’ll Do: Develop and deploy … machine learning models for anti-money laundering and counter-terrorist financing. Contribute to dynamic monitoring systems using tools like TensorFlow, OpenAI, and LangChain. Help design GenAI pipelines and consensus mechanisms across a distributed agent system. Work alongside DevOps to build scalable, automated ML deployment pipelines. Write clean, well-documented code using Python and modern tooling (gRPC, Alembic, Pytest More ❯