101 to 125 of 191 Reinforcement Learning Jobs in London

Machine Learning Scientist - Graph ML/GNN's Join to apply for the Machine Learning Scientist - Graph ML/GNN's role at Relation . About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some … of life’s most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding—from cause to cure. Opportunity Join the Turing team as a Machine Learning Scientist, where you will develop cutting-edge ML methods, including graph machine learning, reinforcement learning, and large … language models (LLMs). This role is ideal for a technically skilled ML expert with experience in applying these areas of machine learning to complex data challenges. The team you will become part of The Turing team focuses on leveraging advanced machine learning techniques, such as graph ML, recommender systems, and multi-agent reasoning systems, to transform drug 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 agentic capabilities 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 agentic capabilities 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 agentic capabilities More ❯

Machine Learning Scientist – Turing London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning … to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients’ lives. Opportunity Join the Turing team as a Machine Learning Scientist, where you will develop cutting-edge ML methods, including graph machine learning, reinforcement learning, and large language models (LLMs). This role is ideal for … a technically skilled ML expert with experience in applying these areas of machine learning to complex data challenges. The team you will become part of The Turing team focuses on leveraging advanced machine learning techniques, such as graph ML, recommender systems and multi-agent reasoning systems, to transform drug discovery. The team’s work integrates computational insights across More ❯

Lead of Machine Learning Systems, Scale and Performance Join to apply for the Lead of Machine Learning Systems, Scale and Performance role at InstaDeep Continue with Google Continue with Google Lead of Machine Learning Systems, Scale and Performance 5 months ago Be among the first 25 applicants Join to apply for the Lead of Machine Learning … Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. Join us to be a part of the AI revolution! The Team Efficiently training machine learning algorithms at scale requires solving novel system problems. Our team leads the design and implementation of high-performance solutions to seamlessly scale our AI systems, including our latest foundation … optimise throughput, scalability, and robustness in some of the largest distributed ML systems, making ambitious research ideas a practical reality. The Role We're looking for a Lead Machine Learning Engineer to take charge of tackling performance bottlenecks and lead the development of solutions that scale machine learning to the next level. In this role, you’ll collaborate More ❯

a quantum computer pose numerous challenges. Modern AI methods show promise in addressing these challenges, requiring quantum computing scientists to identify use cases and design experiments. As a Machine Learning Scientist in the AI for Quantum team, you will design ML experiments in collaboration with ML engineers and quantum scientists. You will lead the development of tools and frameworks … Quantinuum’s high-quality quantum computers. Your work will focus on AI models working synergistically with quantum computers to solve problems inaccessible to either technology alone. As a Machine Learning Engineer in the team, you will utilize state-of-the-art methods, collaborating with quantum scientists to address challenges in the quantum computing stack, such as circuit compilation, error … correcting codes, and quantum advantage identification by integrating quantum computers with AI systems. Responsibilities: Scientist Research novel use cases of machine learning and AI for quantum program synthesis. Identify high-impact problems that Quantinuum can uniquely solve. Collaborate closely with engineering, product management, and other teams. Represent the team at scientific, technical, and industry conferences. Engineer Develop software infrastructure More ❯

Senior Data Scientist Senior Data Scientist £2.5 million seed funded Startup utilising Machine Learning Data Scientist opportunity with a seed funded startup (£2.5 million), utilising machine learning technology to create up to 15% profit margin gains for clients in the entertainment industry. You will join a small team of 2 in Data and a wider company of … pricing algorithms which would enable companies in the entertainment industry to significantly increase profit margins. You'll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte Carlo Simulations. Your Experience : You'll likely come from a strong quantitative degree background in Science or Maths and have worked 2-4 years as a More ❯

opening up possibilities to build far richer, more capable intelligent behaviours. This is a unique opportunity to help build a dedicated AI function focused on embedding cutting-edge multimodal learning models into next-gen robotic platforms. The role will involve defining the long-term roadmap for how intelligence is deployed across the stack, from perception through to action—combining … unified, responsive behaviours. To be successful in this role, you’ll need to bring: Strong technical leadership across applied AI/ML, with deep hands-on experience in robotic learning or embodied intelligence A solid background in multimodal model development—especially in areas that combine computer vision, language understanding, and interactive learning (LLM, VLM or VLA) Real-world … deployment experience of learning-based systems, ideally within robotic or physical environments (embodied systems (AI) & reinforcement learning) Comfort collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) Location: London (hybrid, with 4 days onsite and flexible hours) This is a More ❯

tools, as well as research, back-testing, C++ implementation, and deployment of new trading strategies. Requirements: PhD from a top-tier university in subjects such as Computer Science, Machine Learning, Artificial Intelligence, Statistics, Operations Research, Econometrics, Signal Processing, or Computer Vision. Exceptional Master's students will also be considered. Understanding of translating research expertise into the development and optimization … noisy data sets. Research or internship experience at reputable organizations. Strong programming skills in C++, Perl, or Python. Demonstrable interest in systematic trading. Background in time series analysis, statistics, reinforcement learning algorithms, or portfolio theory. Candidates who have completed their PhD this year or are graduating in 2018 are eligible. Interviews include meetings with senior partners and technical More ❯

experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused … surrounding area. Initially this is an 18-month contract with the expectation of extending this as more funding is released. Keywords: AI, ML, RF, EM, GNN, Transformer, Autoencoder, Reinforced Learning, Multi-Modal AI, Sensor Fusion, Python, PyTorch, Radio Frequency, RF Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do More ❯

Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency. LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF). Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth: We’re continuously raising … internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience. Experience programming with at least one software programming language. Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference). Hands-on experience with generative AI technology. PREFERRED QUALIFICATIONS Bachelor's degree in Computer More ❯

Research, Math, Physics or Statistics. Proficiency in programming languages like Python, Java or C++ and the ability to write efficient, clean, and maintainable code. Background in Probability, Statistics, Machine Learning, Natural Language Processing, Reinforcement Learning, Large Language Models is desirable. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients More ❯

and tactical needs around cloud technologies Grow your technical and interpersonal skills by addressing customer challenges in your daily work and leveraging dedicated time allocated by the company for learning new technologies and engaging in internal initiatives Strengthen your personal brand through thought leadership activities such as blogging, public speaking, and participation in technology events Qualifications Experience Requirement: Minimum … distributed systems on AWS, and selecting the appropriate tools to address business problems at the correct scale. Advanced proficiency in AWS, with a focus on Generative AI and machine learning services. Certified AWS Solutions Architect Professional and/or AWS Machine Learning Specialty Proven track record of architecting, deploying, and optimizing complex cloud solutions for AI-driven workloads. … multimodal AI using Amazon SageMaker JumpStart and Hugging Face on AWS. Experience leveraging Amazon Q (formerly AWS CodeWhisperer) Business and Developer for AI-powered coding productivity and automation. Machine Learning Frameworks and Pipelines: In-depth knowledge of Amazon SageMaker, including Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias detection and interpretability. Skilled in distributed model training with More ❯

Research, Math, Physics or Statistics. Proficiency in programming languages like Python, Java or C++ and the ability to write efficient, clean, and maintainable code. Background in Probability, Statistics, Machine Learning, Natural Language Processing, Reinforcement Learning, Large Language Models is desirable. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients More ❯

tool-using agents (MCP, API integration, data processing) Methods for agent monitoring, logging, and performance analysis Experience with model fine-tuning and evaluation for domain-specific applications Background in reinforcement learning or agent training methodologies Why you? You dream big You want to be part of a highly skilled and passionate team striving to create an amazing product … London, England, United Kingdom 3 days ago London, England, United Kingdom 1 week ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 2 weeks ago Machine Learning Scientists and Engineers: AI for Quantum London, England, United Kingdom 1 month ago Graduate Software Engineer – ML Data Platform London, England, United Kingdom 1 month ago City Of London More ❯

actively building features that users will love and trust. Stay Cutting-Edge: Ensure Cleo remains at the forefront in ML by actively engaging with the latest trends in NLP, reinforcement learning, and generative AI, and applying them to our products. Communicate at All Levels: Translate insights for senior leadership and bridge the gap between technical and non-technical More ❯

servers or equivalent architectures.Work closely with data engineers, researchers, and platform teams to ensure robust deployment.Continuously research and integrate emerging techniques in agent-based AI, multi-agent systems, and reinforcement learning.Required Skills & Experience:4+ years of experience in AI/ML engineering or data-intensive systems.Strong proficiency in Python for AI, ML, and data engineering tasks.Deep experience with Apache More ❯

of-the-art techniques to solve problems, define the research direction and shape the product. LLMs will be your bread and butter, customized with advanced RAG techniques, finetuning and reinforcement learning. You’ll work closely with other engineers to build fast, and you’ll use Python and Kubernetes to deploy systems in production. What You'll Do Work with … LLMs understand and interact with the millions of lines of code that run Kraken, leveraging techniques at the cutting-edge of the technology like GraphRAG, agentic workflows, finetuning, and reinforcement learning Use classic ML and NLP techniques to complement and improve LLM systems Act as a center of excellence for the whole business in AI, as a floating … function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Kraken by 2x Sign in to set job alerts for “Senior Machine Learning Engineer” roles. Senior Machine Learning Engineer - Generative AI and Search - Artificial Intelligence London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago London, England More ❯

Machine Learning Scientists and Engineers: AI for Quantum Join to apply for the Machine Learning Scientists and Engineers: AI for Quantum role at Quantinuum Quantinuum is building a new AI team, currently comprising 14 employees, and is talent pooling for future roles. Please register your interest to be considered for upcoming opportunities. Note that responses may be delayed … using quantum computers pose numerous challenges. Modern AI methods show promise in addressing these challenges, requiring quantum computing scientists to identify use cases and design experiments. As a Machine Learning Scientist in the AI for Quantum team, your role involves designing ML experiments in collaboration with ML engineers and quantum scientists, developing tools and frameworks to apply AI techniques … stack. You will have access to Quantinuum’s top-tier quantum computers, with applications including circuit optimization, quantum algorithm design, and error mitigation or correction strategies. As a Machine Learning Engineer, you will utilize state-of-the-art methods alongside quantum scientists to solve problems such as circuit compilation, error-correcting code discovery, and demonstrating quantum advantage by integrating More ❯

Join to apply for the Senior Machine Learning Engineer role at Metrea 2 weeks ago Be among the first 25 applicants Company Overview Metrea is a defense company dedicated to translating commercial innovation into solutions for the hardest problems in national security. With deep mission expertise, Metrea focuses on delivering effects as-a-service across domains including Air & Space … operational expertise with advanced data analytics and synthetic environments to accelerate defense solutions, transforming complex operational challenges into actionable insights. Position Summary We seek an innovative and experienced Machine Learning Engineer to design and implement production-grade ML systems within our Decision Science Laboratory and automated Solution Engine, including synthetic data generators. The role requires expertise in diverse ML … approaches such as signal processing, object detection, RAG systems (with emphasis on secure local deployment), and reinforcement learning. The candidate should have strong software engineering skills, deep ML knowledge, and a passion for operationalizing ML systems in the Defense sector. Role and Responsibilities Design and implement production-ready ML systems for time-series data and object detection, collaborating with More ❯

you want to login/join with: Deliver end-to-end data science solutions in a consultancy environment Build and deploy custom forecasting models (e.g., time series, XGBoost, deep learning) Implement reinforcement learning techniques for dynamic prediction Apply causal inference and graph AI methods to uncover complex relationships Develop and containerize models using Docker Work within modern … to streamline deployment Operate in a cloud environment (AWS preferred) Required Skills & Experience: Strong experience as a Full Stack Data Scientist Deep expertise in time series forecasting and machine learning (XGBoost, deep learning, reinforcement learning) Practical knowledge of Causal AI and Graph AI methodologies Proficiency in Python for data science and model development Experience with Docker More ❯

Key Responsibilities: Deliver end-to-end data science solutions in a consultancy environment Build and deploy custom forecasting models (e.g., time series, XGBoost, deep learning) Implement reinforcement learning techniques for dynamic prediction Apply causal inference and graph AI methods to uncover complex relationships Develop and containerize models using Docker Work within modern CI/CD pipelines to … data-driven web application using JavaScript/TypeScript and Next.js Required Skills & Experience: Strong experience as a Full Stack Data Scientist Deep expertise in time series forecasting and machine learning (XGBoost, deep learning, reinforcement learning) Practical knowledge of Causal AI and Graph AI methodologies Proficiency in Python for data science and model development Experience with Docker More ❯

Job Description Key Responsibilities: Deliver end-to-end data science solutions in a consultancy environment Build and deploy custom forecasting models (e.g., time series, XGBoost, deep learning) Implement reinforcement learning techniques for dynamic prediction Apply causal inference and graph AI methods to uncover complex relationships Develop and containerize models using Docker Work within modern CI/CD … data-driven web application using JavaScript/TypeScript and Next.js Required Skills & Experience: Strong experience as a Full Stack Data Scientist Deep expertise in time series forecasting and machine learning (XGBoost, deep learning, reinforcement learning) Practical knowledge of Causal AI and Graph AI methodologies Proficiency in Python for data science and model development Experience with Docker More ❯

team. This lab is composed of researchers from elite institutions and industry labs including OpenAI, Google DeepMind, and Microsoft AI, and is focused on advancing the SOTA in LLMs, reinforcement learning, and deep learning for complex systems. The team is building the models with the goal of powering the next generation of AI supercomputing systems. The Role … As a Research Scientist, you’ll be at the heart of groundbreaking research, working on core problems in deep learning, generative modelling, and RL. With larger compute resources per capita than any other tech company, you’ll also have the opportunity to conduct and publish your research in top-tier conferences, such as NeurIPS, ICML, and ICLR, etc. and … collaborate with world-renowned researchers across multiple DL disciplines. You might be a fit if you have... PhD in Machine Learning, Computer Science, Mathematics or related field; Strong track-record in research in Big Tech; Deep technical expertise in training, fine-tuning, or scaling deep learning models; Experience developing models in language modelling, reinforcement learning, or More ❯