1 to 25 of 26 Permanent Reinforcement Learning Jobs in the UK excluding London

Research Scientist/Engineer - Agent Systems & Reinforcement Learning Location: London Salary: £ per annum + permanent benefits + bonus Job Type: Permanent, Full-Time, On-site About the Opportunity We are partnering with a leading AI research organisation focused on developing sustainable, generalisable and evolvable Agent systems that represent … periods of execution. This is an exceptional opportunity to join a world-class research environment working at the intersection of Agents, Large Language Models, Reinforcement Learning and Autonomous Systems , contributing to cutting-edge research that could play a significant role in advancing the path towards Artificial General Intelligence ...

Role Research Engineer Salary Competitive Contract Perm Location Oxford The Role As our Research Engineer, you will sit at the boundary between frontier machine‐learning research and shipped product. You will take ideas from the research edge, reinforcement learning, RLHF, multi‐objective policy optimisation and LLM post … customers depend on, while connecting that research to OD’s product vision and to what our customers actually need. Responsibilities Apply and adapt machine‐learning and reinforcement‐learning research to OD’s product roadmap, translating research direction into shippable capability. Design, train and evaluate models using reinforcement ...

relies on building customer relationships with Roku that delight and engage them. Within Advertising Engineering, the MarTech team builds the products, services, and machine learning systems that help Roku deliver the right communication, creative, and marketing experience to the right customer at the right time on the right marketing … business. The team owns server technologies, data platforms, and cloud services that power advertising and marketing use cases. We are recruiting a Senior Machine Learning Engineer to build and enhance intelligent systems that help the marketing team harness the power of data. About the Role The MarTech team ...

relies on building customer relationships with Roku that delight and engage them. Within Advertising Engineering, the MarTech team builds the products, services, and machine learning systems that help Roku deliver the right communication, creative, and marketing experience to the right customer at the right time on the right marketing … owns server technologies, data platforms, and cloud services that power advertising and marketing use cases. About the Role We are recruiting a Senior Machine Learning Engineer to build and enhance intelligent systems that help the marketing team harness the power of data. This role sits in a team working ...

interactionRobot motion planning using traditional and AI-based algorithmsSensor guided robot motions, particularly using tactile/haptic perception and 3D vision.The use of machine learning techniques in the real time control of robotic manipulators (Vision-Language Action Models, Diffusion Policies, Transformer Architectures, Reinforcement Learning, Long Short-Term … Memory)Learning from demonstration, skill acquisition, behaviour optimisationRobot grasping, including multiple articulated finger graspingDextrous and in-hand manipulationA Bachelors or Masters degree in Robotics, Robot Control, Robotics and AI, or a similar discipline with a strong software engineering component.Nice to have: A PhD in a relevant robotics area ...

have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.As a Machine Learning Lead Software Engineer at JPMorgan Chase within the Regulatory, Controls, and Operational Risk Technology (RCORT) team, you serve as a seasoned member of an agile … Science, Engineering, or a related fieldDemonstrated experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.Experience with machine learning frameworks, libraries ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code of Practice … Kainos, you will be accountable for the successful delivery of large-scale, high-impact AI solutions that leverage state-of-the-art machine learning, generative, and agentic AI technologies. You will help set the direction for AI and data science across the business, driving the adoption of modern ...

design and build fair and explainable systems which automate recruitment processes across Amazon? Come and be part of a team that develops new machine learning (ML) technologies, which help Amazon scale for its customers by recruiting diverse teams. Join our Recommendations team within Intelligent Talent Acquisition (ITA) where … build machine learning products that transform how job seekers find opportunities and recruiters discover talent. You’ll develop sophisticated recommendation systems powering both Amazon Jobs and internal hiring platforms, operating at global scale to match the right people with the right positions. Using techniques including representation learning, reinforcement ...

join a rapidly expanding Data and Decision Support Capability team. This role focuses on cutting-edge research and development across various AI domains, including reinforcement learning, NLP/LLMs, knowledge graphs, computer vision, and advanced sensor processing (radar, sonar, acoustics, and RF). Typical Responsibilities Technical Leadership: Lead … Candidates should ideally possess expertise or interest in one or more of the following domains: AI/ML for imagery and remote sensing applications Reinforcement learning Natural Language Processing (NLP) & Large Language Models (LLMs) Knowledge graphs and graph-based neural networks AI/ML applied to RF, Electronic ...

practical engineering. You will help transform ambitious research ideas into scalable, robust systems, with projects spanning AI-driven semiconductor design and fundamental machine learning research. Current areas of focus include LLMs, Reinforcement Learning, Generative Models and optimisation techniques for deep learning. The Role As a senior member … contribute to a collaborative environment built around technical excellence, scientific curiosity and practical impact. Key Responsibilities Lead the engineering delivery of complex machine learning and AI research projects. Translate research objectives into robust, scalable technical solutions. Implement and optimise advanced machine learning algorithms. Work closely with researchers ...

Senior Machine Learning Engineer UK or Poland (Remote or Hybrid, it’s up to you!) Dependent on experience Be part of our success with the opportunity to join our company equity scheme Our Perks Monthly Health & Wellness budget, increasing with length of service Annual Learning and Development budget … platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We’re hiring a Senior Machine Learning Engineer to join the team and help build and ship the next generation of that stack. What you’ll be doing Unlike many companies ...

Title: Deep Learning Researcher Location: London or Cambridge, UK Type: Permanent Our client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in machine learning and artificial intelligence Optimize algorithms and ensure the scalability and robustness of research prototypes and systems Coordinate closely with … fields Requirements: PhD in Computer Science or related subject Publications in conferences such as: NeurIPS, ICLR, ICML, EMNLP, AAAI, IJCAI Extensive experience researching machine learning algorithms and systems Advanced proficiency in programming languages such as Python, C++, or similar Experience with optimization, reinforcement learning, and/ ...

Gravity AI/ML Engineer The Gravity AI/ML Engineer will play a pivotal role in extending and shaping the machine learning and AI implementation within Gravity Cloud service. The successful candidate will be able to implement models that to deliver innovate actionable intelligence for Gravity users. … feature extraction, data ingestion, and real‐time inference using cloud‐based or edge‐based architectures. Evaluate and experiment with modern AI methods (e.g., deep learning, time‐series forecasting, reinforcement learning for Wi‐Fi optimization, LLM‐based agents for support flows). Work with broadband gateway telemetry ...

level Machine Learning Scientist is needed to join this amazing research team based near Cambridge. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play a key role … designing, implementing, and advancing cutting-edge methods in: Reinforcement Learning (RL) Large Language Models (LLMs) Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required ...

ensure best practices in modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions to improve … driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting (preferred). Understanding ...

Ensure best practices in modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making · Stakeholder engagement. … advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading and landing successful Data Science projects ...

plans, 10% employer pension contributions and an extensive structured professional development programme. Keywords: Defence, EM, Electromagnetic, RF, Radio Frequency, AI, Artificial Intelligence, ML, Machine Learning, GNNs, Transformers, Autoencoders, Reinforcement Learning, Multi-Modal AI, Data Fusion, EPM, Electronic Protection Measures, ESM, Electronics Support Measures, EA, Electronics Attack, Python ...

joining a leading AI research firm, building ML models that power products and drive decision-making at scale. Build, train, and deploy machine learning models using Python, TensorFlow, PyTorch Work on supervised, unsupervised, and reinforcement learning problems Clean and process large datasets to extract insights and train ...

recruit a Lead Technologist to join our rapidly expanding Data and Decision Support Capability. The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image … interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ML for RF and EW, radar, sonar, acoustics. ...

ensure our systems remain reliable and future‐ready. Job Responsibilities Design, develop, and implement AI and data engineering solutions, including data pipelines, machine learning models, analytics applications, and Agentic AI systems. Write secure, high‐quality code in Java, applying best practices for AI and data engineering. Develop and maintain … Agentic AI applications. Implement and monitor autonomous AI agents, ensuring reliability, safety, and alignment with organizational goals. Stay current with advancements in Agentic AI, reinforcement learning, and related frameworks. Required Qualifications, Capabilities, and Skills Formal training or certification in software engineering concepts and recent applied experience in software ...

novel model architectures and iterate rapidly toward measurable outcomes Solid experience with automated training pipelines, training orchestration, and scalable model evaluation Practical experience applying reinforcement learning in real product or research settings Excellent Python skills and strong software engineering fundamentals for building reliable, maintainable AI systems Strong communication ...

agents for enterprise workflows, and create robust training pipelines that enable rapid experimentation and deployment at scale. We value hands-on expertise with LLMs, reinforcement learning, and agentic systems, along with strong Python and software engineering fundamentals. #J-18808-Ljbffr ...

product‐minded research engineer who enjoys building real systems people depend on. You’ll likely have: Strong technical background in software engineering, machine learning, or applied AI, demonstrated through an advanced degree and/or equivalent experience building production AI systems Strong software engineering fundamentals and good judgment … Practical understanding of modern model adaptation and post‐training methods, including LoRA/QLoRA, SFT, distillation, preference optimization, reward modeling, DPO/GRPO, and reinforcement learning from verifiable feedback Ownership mindset: you drive projects end‐to‐end, move quickly from real usage, and care about shipping measurable improvements ...

meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances … that you care deeply about What we offer Competitive salary and VSOP options Relocation support : up to €2,500 and 4 weeks temporary accommodation Learning : €500/£450 yearly allowance Health & wellness : gym membership and mental health support (Nilo.health) Social : regular company events and monthly social allowances Enhanced parental ...

join a rapidly expanding Data and Decision Support Capability team. This role focuses on cutting-edge research and development across various AI domains, including reinforcement learning, NLP/LLMs, knowle... WKCL1_UKTJ ...