1 to 25 of 30 Permanent Reinforcement Learning Jobs in the UK

Postdocs and Research Fellows: Probabilistic machine learning, Centre for AI Fundamentals, Manchester, UK, DL July 27, 2025 Jul 14, 2025 I am hiring in my machine learning group in Manchester, UK, DL July 27, 2025 Funded by UKRI Turing AI World-Leading Researcher Fellowship, in the Manchester Centre for AI Fundamentals. We are particularly interested in developing new … machine learning for research, which involves AI4Science and for health, sequential decision making and experimental design under uncertainty, and collaborative AI. Machine learning keywords include Bayesian inference, distribution shifts, generative modelling, human-in-the-loop learning, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, computational rationality and user modelling, and simulation-based … inference. The positions come with excellent opportunities for collaboration with machine learning researchers in the ELLIS Unit Manchester and the rest of the ELLIS network, and with researchers in other fields for AI for Research. These are fixed-term positions for a year, but there will be opportunities for excellent researchers to continue in my team in Manchester or More ❯

experience in Investment Banking environment would be a plus Spanish would be a plus Mandatory Skills : Python, ServiceNow Orchestrator, Azure Cognitive Services, GenAI - LLMOps, RPA - Microsoft Power Automate, Machine Learning - AIOPS, Deep Learning - AIOPS, Reinforcement Learning - AIOPS Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to More ❯

experience in Investment Banking environment would be a plus Spanish would be a plus Mandatory Skills : Python, ServiceNow Orchestrator, Azure Cognitive Services, GenAI - LLMOps, RPA - Microsoft Power Automate, Machine Learning - AIOPS, Deep Learning - AIOPS, Reinforcement Learning - AIOPS Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to More ❯

cohort members, we have the potential and the opportunity to change the way organisationsoperate. As we continue to grow,we'relooking for a highly motivated and skilled Machine Learning (ML) and Artificial Intelligence (AI) Engineer to contribute to the development and deployment of our advanced ML and AI solutions. In this hands-on role,you'llbe involved in building … recordof successfully contributing to the design, building and deployment of ML models into production environments. Expertisein Python and relevant ML libraries Experience with various ML algorithms (e.g. supervised, unsupervised, reinforcement learning) and deep learning frameworks (e.g. TensorFlow,PyTorch). Experience developing generative AI applications and deploying them into production. Experience working with cloud platforms, ideally Google Cloud 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 custom … 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 … we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS • 5+ years of professional software development and machine learning experience • Proficiency in at least one programming language • Experience mentoring engineers, leading technical initiatives, or managing an engineering team • Hands-on experience with deep learning and machine learning More ❯

service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. … dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer … field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits We are a well treated bunch, with awesome benefits! If there's something important to you More ❯

world. As a Data Engineer, you will play a crucial role in supporting the team by creating and maintaining the data infrastructure necessary for the advanced analytics and machine learning solutions. Our team solves a broad range of problems that can be scaled across ROW (Rest of the World including countries like India, Australia, Singapore, MENA and LATAM). … Last Mile Channel Allocation • Using LLMs to automate analytical processes and insight generation • Ops research to optimize middle mile truck routes • Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings • Deep Learning models to synthesize attributes of addresses • Abuse detection models to reduce network losses … attention to detail. - Excellent communication skills and ability to work in a collaborative team environment. PREFERRED QUALIFICATIONS - Experience working in a scientific or research-oriented environment. - Familiarity with machine learning workflows and model deployment. - Experience with Infrastructure as Code (IaC) by tools such as CDK. - Experience with streaming data processing and real-time analytics. - Experience with big data technologies More ❯

languages such as Python or JavaScript, with experience in frameworks like TensorFlow or PyTorch. Hands-on experience with generative AI models (e.g., GPT-4/5), agentic systems, or reinforcement learning frameworks. Familiarity with deploying machine learning models in production environments using cloud platforms (e.g., AWS, Azure) or on-premise systems. Problem-Solving Ability: Proven ability to … required. Requirements (Education, Certification, Training, and Experience ) Up to date knowledge of AI offerings and market developments At least 3 years of experience in software engineering or applied machine learning roles. Direct experience working with customers on the development of AI-driven applications is highly desirable Passion for exploring the frontiers of generative and agentic AI technologies. Entrepreneurial mindset … with a focus on delivering measurable business impact through innovative solutions. Commitment to continuous learning and staying at the forefront of AI advancements. This role is ideal for those who thrive at the intersection of technology innovation and customer engagement. As an FDE specializing in generative AI methods, you will have the opportunity to shape the future of enterprise More ❯

roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the … become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example … supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill An appreciation for the scientific method as applied to the commercial world; a talent More ❯

roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the … become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example … supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a caring More ❯

of interest to you. The Data and Decision Support Capability has teams working across AI/ML areas such as RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, autonomy, image analysis and computer vision, generative AI, NLP, knowledge graphs and more. You will work with these colleagues in multi-disciplinary teams. Typical Responsibilities Lead technical … and/or statistical signal processing to sequential data and decision-making post PhD. Experience in software development for proof of concept in Python. Experience with machine and deep learning frameworks: TensorFlow, PyTorch, scikit-learn, etc. Domains of Particular Interest RF communications and CEMA Electronic or Electromagnetic Warfare (EW) Tracking and sensor data fusion Radar signal processing Acoustic data … and Project Management teams that design and implement defence solutions and digital transformation projects. Company BAE Systems Experience and Education Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United Kingdom More ❯

Role: Lead, Vision-Language-Action (VLA)/Behaviour Learning About the Client Our client is a pioneering robotics startup developing the worlds most advanced, reliable, and commercially scalable humanoid robots. Their mission is to create safe, next-generation robots that integrate seamlessly into daily life and amplify human capacity. Their first robot, HMND 01 , is designed for industrial automation … understand, and act in complex real-world environments. The role combines cutting-edge AI research with practical deployment in robotics. What Youll Do Define and drive strategy for representation learning, behaviour cloning, and reinforcement learning (RL) . Lead large-scale training of multi-modal LLM/VLM/VLA systems integrating inputs such as vision, audio, proprioception … optimise models for real-time deployment . Hire, mentor, and lead a high-calibre team of research scientists and engineers. What Were Looking For 6+ years experience building deep learning systems, including 2+ years in technical team leadership. Hands-on expertise with LLM/VLM architecture design, billion-parameter training, and fine-tuning . Proven track record applying RL More ❯

Role: Lead, Vision-Language-Action (VLA)/Behaviour Learning About the Client Our client is a pioneering robotics startup developing the worlds most advanced, reliable, and commercially scalable humanoid robots. Their mission is to create safe, next-generation robots that integrate seamlessly into daily life and amplify human capacity. Their first robot, HMND 01 , is designed for industrial automation … understand, and act in complex real-world environments. The role combines cutting-edge AI research with practical deployment in robotics. What Youll Do Define and drive strategy for representation learning, behaviour cloning, and reinforcement learning (RL) . Lead large-scale training of multi-modal LLM/VLM/VLA systems integrating inputs such as vision, audio, proprioception … optimise models for real-time deployment . Hire, mentor, and lead a high-calibre team of research scientists and engineers. What Were Looking For 6+ years experience building deep learning systems, including 2+ years in technical team leadership. Hands-on expertise with LLM/VLM architecture design, billion-parameter training, and fine-tuning . Proven track record applying RL More ❯

Role: Lead, Vision-Language-Action (VLA)/Behaviour Learning About the Client Our client is a pioneering robotics startup developing the worlds most advanced, reliable, and commercially scalable humanoid robots. Their mission is to create safe, next-generation robots that integrate seamlessly into daily life and amplify human capacity. Their first robot, HMND 01 , is designed for industrial automation … understand, and act in complex real-world environments. The role combines cutting-edge AI research with practical deployment in robotics. What Youll Do Define and drive strategy for representation learning, behaviour cloning, and reinforcement learning (RL) . Lead large-scale training of multi-modal LLM/VLM/VLA systems integrating inputs such as vision, audio, proprioception … optimise models for real-time deployment . Hire, mentor, and lead a high-calibre team of research scientists and engineers. What Were Looking For 6+ years experience building deep learning systems, including 2+ years in technical team leadership. Hands-on expertise with LLM/VLM architecture design, billion-parameter training, and fine-tuning . Proven track record applying RL More ❯

Role: Lead, Vision-Language-Action (VLA)/Behaviour Learning About the Client Our client is a pioneering robotics startup developing the worlds most advanced, reliable, and commercially scalable humanoid robots. Their mission is to create safe, next-generation robots that integrate seamlessly into daily life and amplify human capacity. Their first robot, HMND 01 , is designed for industrial automation … understand, and act in complex real-world environments. The role combines cutting-edge AI research with practical deployment in robotics. What Youll Do Define and drive strategy for representation learning, behaviour cloning, and reinforcement learning (RL) . Lead large-scale training of multi-modal LLM/VLM/VLA systems integrating inputs such as vision, audio, proprioception … optimise models for real-time deployment . Hire, mentor, and lead a high-calibre team of research scientists and engineers. What Were Looking For 6+ years experience building deep learning systems, including 2+ years in technical team leadership. Hands-on expertise with LLM/VLM architecture design, billion-parameter training, and fine-tuning . Proven track record applying RL More ❯

programming, code reviews, system design and requirements analysis/refinement, etc. - Coaching and mentoring other team members, as appropriate. Essential Skills: - OCR, Object Detection and LLM analysis implementation - Machine Learning & AI Libraries including Transformers/Hugging Face for working with pre-trained LLMs, fine tuning, and inference, PyTorch for deep learning model development and training, OpenCV for computer … Desirable Skills: - Custom model architecture design and implementation - Advanced fine-tuning techniques including LoRA, QLoRA, and parameter efficient methods - Multi-modal AI systems combining text, image, and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases More ❯

programming, code reviews, system design and requirements analysis/refinement, etc. - Coaching and mentoring other team members, as appropriate. Essential Skills: - OCR, Object Detection and LLM analysis implementation - Machine Learning & AI Libraries including Transformers/Hugging Face for working with pre-trained LLMs, fine tuning, and inference, PyTorch for deep learning model development and training, OpenCV for computer … Desirable Skills: - Custom model architecture design and implementation - Advanced fine-tuning techniques including LoRA, QLoRA, and parameter efficient methods - Multi-modal AI systems combining text, image, and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases More ❯

programming, code reviews, system design and requirements analysis/refinement, etc. - Coaching and mentoring other team members, as appropriate. Essential Skills: - OCR, Object Detection and LLM analysis implementation - Machine Learning & AI Libraries including Transformers/Hugging Face for working with pre-trained LLMs, fine tuning, and inference, PyTorch for deep learning model development and training, OpenCV for computer … Desirable Skills: - Custom model architecture design and implementation - Advanced fine-tuning techniques including LoRA, QLoRA, and parameter efficient methods - Multi-modal AI systems combining text, image, and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases More ❯

Applied Scientist, Generative AI Innovation Center Job ID: Amazon Web Services Singapore Private Limited Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational … 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 (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our …/ML/NLP conferences or journals PREFERRED QUALIFICATIONS 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization Track record of building and deploying ML models at scale Experience with model optimization More ❯

Applied Scientist, Generative AI Innovation Center Job ID: Amazon Web Services Singapore Private Limited Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational … 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 (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our …/ML/NLP conferences or journals PREFERRED QUALIFICATIONS 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization Track record of building and deploying ML models at scale Experience with model optimization More ❯

FastAPI, Django). You have a strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp of the underlying theory behind … LangChain, LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc ) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building robust monitoring and observability for More ❯

Senior Applied Scientist, Generative AI Innovation Center Job ID: Amazon Web Services Singapore Private Limited Overview Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and … data mining, parallel and distributed computing, high- performance computing 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. Scientific publication track record at top-tier AI/ML/NLP conferences or journals PREFERRED QUALIFICATIONS Demonstrated experience with building LLM-powered agentic workflow, orchestration 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 ❯

We are working with a global lottery/gambling provider on a 'Group Head of Data Science' role - you’ll be responsible for building and scaling their global Machine Learning and AI function that drives commercial performance, enhances player engagement, and enables smarter, real-time decisioning across lottery, iGaming, and adjacent ventures. You’ll set the strategic vision, while … automated testing, monitoring, feature stores. Partner with Marketing, Digital, Technology, Innovation and local business units to embed intelligence into customer and operational workflows. Champion advanced analytics techniques such as reinforcement learning, causal inference, and generative AI. Build, mentor, and retain a diverse team of data science talent, fostering a culture of experimentation and excellence. Track and report on More ❯

We are working with a global lottery/gambling provider on a 'Group Head of Data Science' role - you’ll be responsible for building and scaling their global Machine Learning and AI function that drives commercial performance, enhances player engagement, and enables smarter, real-time decisioning across lottery, iGaming, and adjacent ventures. You’ll set the strategic vision, while … automated testing, monitoring, feature stores. Partner with Marketing, Digital, Technology, Innovation and local business units to embed intelligence into customer and operational workflows. Champion advanced analytics techniques such as reinforcement learning, causal inference, and generative AI. Build, mentor, and retain a diverse team of data science talent, fostering a culture of experimentation and excellence. Track and report on More ❯