16 of 16 Permanent Reinforcement Learning Jobs in the UK excluding London

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 ...

Senior Researcher, AI - PhD/LLM/Deep Learning Our client's research team applies AI to the design and optimisation of semiconductors, alongside fundamental research that supports both internal applications and the broader scientific community. Current areas of interest include large language models, optimisation methods for deep learning, reinforcement learning and generative models. This a permanent role, working 100% onsite in either London or Cambridge What you will be doing Leading significant research projects in machine learning and AI Developing and implementing novel algorithms and solutions for team and company initiatives Providing technical guidance ...

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 ...

model quality, latency, reliability and safety Exploring hardware-aware algorithms for efficient AI acceleration Reading and implementing ideas from current AI and machine-learning research Relevant experience may include Python, PyTorch, JAX, TensorFlow, Hugging Face, LangGraph, vector databases, reinforcement learning, optimisation or distributed inference. 2. … Machine-Learning Algorithms You may work on: Designing and evaluating neural-network architectures Developing computer-vision, natural-language-processing or multimodal models Exploring efficient training and inference techniques Creating datasets, experiments, benchmarks and evaluation frameworks Investigating sparsity, low-precision computation and hardware–software co-design Translating research ideas into ...

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 ...

continued growth and investment. This is an exciting opportunity to join a multidisciplinary engineering team developing next-generation intelligent systems that combine AI, machine learning and robotics to solve complex real-world challenges. Working closely with software engineers, data scientists and product teams, you'll play a key role … driven solutions from concept through to production. Responsibilities: Design and develop AI-powered software for robotic and autonomous systems. Build, train and optimise machine learning models for real-world applications. Develop computer vision and sensor fusion capabilities. Work with LLMs and Generative AI technologies to create intelligent workflows ...

Automation theme covers all methods and technology that bring digitisation and optimisation of energy to scale using complex algorithms based on data science, machine learning, and the full spectrum of AI techniques (e.g. generative, agentic, etc). Specifically, the role entails: Leading and developing a team of research engineers … locations, but we'd prefer you to be based in or around London. The ideal candidate: An adaptable, experienced data scientist or machine learning expert that wants to tackle complex challenges and push the state of the art for automation in the energy sector. Of course, we're also ...

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 ...

Computer Science wishes to appoint a Lecturer (Assistant Professor) or Senior Lecturer (Associate Professor) or Reader (Associate Professor) in AI, specifically Natural Language Processing, Reinforcement Learning and/or AI Security/Assurance/Verification, to join our strong and growing Artificial Intelligence and Machine Learning Research … should also exhibit academic leadership and a clear research vision - Additionally, Senior Lecturers and Readers must have current knowledge of modern teaching methodologies, including learning technologies, and a strong research strategy - All roles require excellent organisational and administrative skills Appointments will be made at Grade 8 for Lecturer positions ...

Mapping) Navigation and autonomy systems Sensor fusion and state estimation Gazebo, Isaac Sim, MATLAB/Simulink or similar simulation platforms Real-time systems development Reinforcement learning Pybind11 What We're Looking For Demonstrable experience delivering robotics projects Strong software engineering principles and coding standards Ability to take ownership ...

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 ...

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... CRWG1_UKTJ ...

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 click apply for full job details ...