326 to 350 of 439 Reinforcement Learning Jobs in the UK

Machine Learning Engineer – Robotic Manipulation | Cutting-Edge Space Tech | Equity Opportunity Location: Hybrid (UK-based) Salary: Competitive + Equity Join a stealth-mode innovator at the forefront of autonomous robotics, building next-gen systems that operate in the most extreme environments—space. This is your chance to shape the … future of orbital infrastructure and space domain defence. We're on the hunt for a Machine Learning Engineer with a passion for robotic manipulation. You’ll be the mastermind behind intelligent grasping systems—designing, training, and deploying ML models that enable robots to interact with unknown objects in unpredictable … software teams to bring your models to life. Own performance benchmarking and real-world validation. What You Bring 5+ years in ML, Robotics, or Reinforcement Learning (or equivalent hands-on experience). Deep understanding of robot manipulation—both classical and ML-based approaches. Proficiency in Python & C++, and More ❯

Machine Learning Engineer – Robotic Manipulation | Cutting-Edge Space Tech | Equity Opportunity Location: Hybrid (UK-based) Salary: Competitive + Equity Join a stealth-mode innovator at the forefront of autonomous robotics, building next-gen systems that operate in the most extreme environments—space. This is your chance to shape the … future of orbital infrastructure and space domain defence. We're on the hunt for a Machine Learning Engineer with a passion for robotic manipulation. You’ll be the mastermind behind intelligent grasping systems—designing, training, and deploying ML models that enable robots to interact with unknown objects in unpredictable … software teams to bring your models to life. Own performance benchmarking and real-world validation. What You Bring 5+ years in ML, Robotics, or Reinforcement Learning (or equivalent hands-on experience). Deep understanding of robot manipulation—both classical and ML-based approaches. Proficiency in Python & C++, and More ❯

Job Description Department: Information Technology Job Summary We are seeking a highly skilled and motivated Data Scientist with a strong focus on machine learning (ML) and artificial intelligence (AI) to join our innovative team. The ideal candidate will excel in developing, deploying, and optimizing ML models and AI solutions … leveraging cutting-edge technologies like Azure Machine Learning, AutoML, and cloud-based AI tools. This role is essential for driving insights, automating processes, and delivering impactful business outcomes. Key Responsibilities ML and AI Model Development Design, build, and deploy machine learning models using advanced algorithms, including AutoML techniques. … models for regression, classification, clustering, and deep learning. Explore and implement state-of-the-art AI approaches such as transformer models, generative AI, and reinforcement learning. Expertise in natural language processing to analyze and generate insights from unstructured text data. Advanced Analytics and Insights Extract actionable insights from structured More ❯

about understanding and improving state-of-the-art AI systems, making key contributions to research on fairness, inclusion, and the reliability of modern machine learning approaches. We operate across modalities and are deeply committed to understanding the impacts of AI in real-world social contexts. We welcome applications from … quality code and reproducible results for the community. Minimum Qualifications Currently has or is in the process of obtaining a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Information, Reinforcement Learning, Mathematics, or relevant technical field. Must obtain work authorization in the country of employment at 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 … 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 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 … 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 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 … 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 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 … 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 More ❯

the job poster from The Portfolio Group Chief Operations Officer at The Portfolio Group | Executive Recruitment & Search Assignments. 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 … 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 … 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 More ❯

the heart of the BBC's mission to inform, educate, and entertain. Our AI research team is dedicated to advancing the frontiers of machine learning, data science, and generative AI to redefine how audiences engage with media in an increasingly digital world. We are seeking an exceptional Head of … leading or managing AI research teams, combining scientific leadership with people development. Deep technical expertise in at least one of the following areas: deep learning, generative models, natural language processing, reinforcement learning, or multimodal AI. Experience translating AI research into real-world products or services, especially in More ❯

experimenting with cutting edge research on how to best solve pressing issues surfacing in the legal domain. You will apply your expertise in machine learning, data science, and behavioural modelling to drive meaningful insights and innovations. As AI agents become the norm in this industry, so does the need … knowledge bases and systems (e.g., hybrid search approaches combining symbolic and neural techniques, query understanding and rewriting for legal search) Perform fine-tuning and reinforcement learning to teach language models how to interact with new information architectures. Build "hard" eval sets to help identify failure modes of how … infrastructure for running experiments and visualising results. Work with colleagues to communicate results internally and publicly. Stay updated with the latest research in machine learning, AI, knowledge representation and retrieval to bring innovative solutions to the table. Mentor junior researchers and contribute to building a collaborative, knowledge-sharing culture. More ❯

Infosys Consulting is at the forefront of applied AI innovation, delivering real-world business value through the convergence of AI agents, machine learning, and modern enterprise architecture. As part of our growing Enterprise AI consulting practice, we are looking for technically hands-on professionals to design and deliver client … the ability to present solutions to both technical and non-technical stakeholders. Preferred Skills • Hands-on exposure to cognitive architectures, planning-based agents, or reinforcement learning in real-world deployments. • Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs. • Understanding of More ❯

Infosys Consulting is at the forefront of applied AI innovation, delivering real-world business value through the convergence of AI agents, machine learning, and modern enterprise architecture. As part of our growing Enterprise AI consulting practice, we are looking for entrepreneurial and technically hands-on AI Agent Engineers and … the ability to present solutions to both technical and non-technical stakeholders. Preferred Skills • Hands-on exposure to cognitive architectures, planning-based agents, or reinforcement learning in real-world deployments. • Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs. • Understanding of More ❯

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 … 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 … 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 More ❯

gathering, feature engineering, & model delivery right through to stakeholder model presentation. Data analysis and modelling: Utilise statistical and experimental techniques, predictive modelling, and machine learning algorithms to analyse large and complex datasets related to pricing, promotions, sales, and customer behaviour. Extract actionable insights to support pricing decision-making. Develop … profit or revenue growth, based on measured elasticity at either a category or SKU level. This could take several forms (Regression based, Experimental/Reinforcement Learning, Bayesian) but you’d be responsible ultimately for the success of the model. Commercial forecasting support Develop forecasting models to predict pricing More ❯

Scientist Location: Remote-first (UK-based) The Company A Series D tech scale-up is reshaping the travel and hospitality industries through advanced machine learning and forecasting. Purpose-built for this space, their platform leverages deep learning to drive revenue optimisation, automation, and real-time analytics. With a … Translate product goals into technical solutions in collaboration with leadership Implement validation frameworks, unit tests, and monitoring pipelines Stay current with advances in machine learning and apply them where appropriate DevOps-first approach for model deployment Skills & Experience: Strong background in statistics, machine learning, and time series forecasting … ownership of delivery Strong communication and problem-solving skills Experience in demand forecasting or operations research Familiarity with Bayesian methods, Monte Carlo simulations, or reinforcement learning Exposure to high-scale SaaS or B2C products Why Apply? Build forecasting systems powering global commercial strategies Collaborate with a world-class More ❯

and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from Harnham Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI Revolution Principal Data Scientist Up to £85,000 London (Hybrid, 3 days onsite … Science, Artificial Intelligence, Mathematics, Statistics or related fields. Expert in Python, R, SQL and a range of ML techniques (e.g., random forests, neural nets, reinforcement learning) Track record of delivering high-impact AI projects from concept to production Strong communication skills – able to translate complex insights into business … ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago Senior Machine Learning Engineer, Pricing London, England, United Kingdom 4 days ago London, England, United Kingdom 3 hours ago London, England, United Kingdom 2 months ago London More ❯

Scientist Location: Remote-first (UK-based) The Company A Series D tech scale-up is reshaping the travel and hospitality industries through advanced machine learning and forecasting. Purpose-built for this space, their platform leverages deep learning to drive revenue optimisation, automation, and real-time analytics. With a … Translate product goals into technical solutions in collaboration with leadership Implement validation frameworks, unit tests, and monitoring pipelines Stay current with advances in machine learning and apply them where appropriate Adopt a DevOps-first approach for model deployment Skills & Experience: Strong background in statistics, machine learning, and time … ownership of delivery Strong communication and problem-solving skills Experience in demand forecasting or operations research Familiarity with Bayesian methods, Monte Carlo simulations, or reinforcement learning Exposure to high-scale SaaS or B2C products Why Apply? Build forecasting systems powering global commercial strategies Collaborate with a world-class More ❯

or vision. As part of this, we are leveraging knowledge in areas like speech/audio encoders/tokenizer, pre-training, post-training, (online) reinforcement learning, LLM alignment, multimodal modelling, speech and audio processing, speech recognition (ASR), speech synthesis (TTS), and multilingual modelling. Our work is focused on … with research. Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use. Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, ...). Preferred Qualifications: 2+ years of work experience in a faculty, industry, or government research position with primary emphasis … week ago Senior Specialist Biomedical Scientist - Haematology/Blood Transfusion London, England, United Kingdom 1 week ago Research Scientist (Quantum Chemistry and Machine Learning), London London, England, United Kingdom 2 weeks ago Greater London, England, United Kingdom 5 days ago London, England, United Kingdom 1 month ago London, England More ❯

Ireland for this position Great benefits: £70,000-90,000 Tech setup of your choice (MacBook Pro or equivalent, monitors, etc.) £/€800 annual learning budget, plus two hours per week as 'Focus Fridays'. Flexible work - choose a working setup that works for you, our only ask is … a dynamic environment, where we learn and grow by tackling complex technical challenges. Responsibilities Design, build, and maintain AI systems and tools using machine learning and large language models (LLMs), with a strong focus on prompt engineering and model fine-tuning. Collaborate with cross-functional teams to identify opportunities … Contribute to the development of reusable AI components and APIs to support product and internal teams. Stay informed of the latest developments in machine learning and generative AI to drive continuous improvement. What are we looking for? Technical Proficiency: Proven experience operating as a senior level engineer within a More ❯

develop novel software solutions in the Defence domain, for example distributed middleware, software defined networks, and the application of artificial intelligence large language models, reinforcement learning, and others) to customer problems. Define and develop software solutions in architecture terms including system boundaries, data flows, workflows, system layouts, and … to be able to draw on previous experiences of Software Engineering roles and be able to demonstrate a clear commitment to Continuous Improvement and Learning from Experience. Experience of successful Software implementation within the defence industry is a bonus! Roke has a hybrid working policy as does our client More ❯

certification • Experience deploying AI solutions at scale in industries such as finance, healthcare or retail • Understanding of GenAI (e.g. LLMs), NLP, computer vision or reinforcement learning • Experience with containerisation, orchestration (e.g., Docker, Kubernetes) and CI/CD for ML Together, as owners, let's turn meaningful insights into 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 … 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 More ❯

organization with multiple teams to improve the efficiency of company processes and provide insights and assistance to users. Responsibilities Design, implement, and deploy machine learning models and systems to solve complex problems and drive business outcomes; Research, develop, and implement machine learning algorithms and models for tasks such … implement AI tools such as NLP, LLM, and IA; Collect, preprocess, and curate large datasets required for training generative models; Experiment with different machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning; Design and optimize machine learning pipelines and workflows, incorporating … techniques for data cleaning, feature engineering, model selection, and hyperparameter tuning; and Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models in production environments. Qualifications Bachelor's degree or higher in Artificial Intelligence, Computer or Data Science, or related field. Master's degree More ❯

most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and machine learning is essential; while structure prediction or materials chemistry experience would be advantageous, it is not a pre-requisite for the role. This post would … optimal use of domain expertise and integrate fully into “human in the loop” workflows. This post is available for two years. Keywords: Geometric Deep Learning, in particular Graph Neural Networks, Deep Reinforcement Learning, Generative Modelling, in particular Denoising Diffusions, Combinatorial Optimisation. Commitment to Diversity The University of More ❯