1 to 25 of 31 Permanent Reinforcement Learning Jobs in the UK excluding London

Machine Learning Engineer - Agentic AI & Reinforcement LearningWe use cookies on this site to enhance your user experience.By clicking the Accept button, you agree to us doing so. Visit our Privacy and Cookies page (https://www.viridiengroup.com/privacy-cookies) for more information.# SEE THINGS DIFFERENTLY## Machine Learning Engineer - Agentic AI & Reinforcement LearningApply: Hybrid: Crawley, United Kingdom: Full time: Posted Today: JR101451Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights ...

Postdoc and Research Fellow positions in Machine Learning, Centre for AI Fundamentals, Manchester, UK Aug 18, 2023 Postdoc and Research Fellow positions in Machine Learning, Centre for AI Fundamentals, Manchester, UK Keywords include automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving … learning, reinforcement learning, inverse reinforcement learning, computational rationality and user modelling, and simulator-based inference. More background: The University of Manchester is making a strategic investment in fundamentals of AI, to complement its existing strengths in AI applications across several prominent research fields ...

prototypes using real-world data and operationally relevant problem statements. Investigate, design, implement and evaluate advanced AI methods, including but not limited to deep learning, multimodal AI, self-supervised learning, foundation models, generative AI, computer vision, NLP/LLMs, time-series analytics and reinforcement learning where … Thales governance requirements. Create proofs of concept, publications, invention disclosures, patents, technical reports and reusable research assets around advanced AI topics such as multimodal learning, self-supervised learning, foundation models and human-AI collaboration. Package research outputs in a form that enables transition to AI engineering teams, including ...

Research positions available in machine learning at all levels: Research Fellow, Postdoc, PhD student. Turing AI Fellowship, Univ Manchester, UK Still some positions available in my new research group funded by the Turing AI World-Leading Researcher Fellowship: Human-AI Research Teams: Steering AI in Experimental Design and Decision … years as well: – Research Fellow – Postdoc – PhD Student The work involves probabilistic modelling in exciting new settings, and developing new methods for probabilistic machine learning and inference. Applicants with outstandingly strong expertise in one of following topics are welcome, or strong expertise in one and keen interest in working ...

Researcher positions in probabilistic machine learning: Research Fellow, Postdoc and PhD Student Manchester Centre for AI Fundamentals has researcher positions open at several levels: Research Fellow, Postdoc and Postgraduate Research Student (funded). DL June 30, 2022 I am hiring researchers to my team working on probabilistic machine learning. … Keywords include: Bayesian inference, reinforcement learning and inverse reinforcement learning, automatic experimental design, multi-agent learning, Bayesian deep learning, amortized inference, human-in-the-loop learning, user modelling, collaborative AI, privacy-preserving learning, likelihood-free inference. Different researchers work on different ...

Applied Artificial Intelligence and Machine Learning (Applied AI/ML) team within Infrastructure Platforms is transforming how the firm delivers strategic infrastructure platforms-based solutions—both by applying AI/ML within engineering workflows and by building scalable AI hosting platforms and capabilities for enterprise use. As a Machine … Learning Lead Software Engineer at JPMorgan Chase within the Governance & Controls Technology AI/ML team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical ...

responsibilities: Train behaviour-cloning and reinforcement-learning policies for locomotion and manipulation. Own the training pipeline on the sovereign GB10/GPU estate. Design reward, curriculum and domain randomisation schemes. Measure policy performance on hardware, not only on held-out data. Requirements: RL and imitation learning ...

Senior Lecturer/Lecturer (Asst Prof) and other positions in Machine Learning in Manchester, UK Apr 25, 2022 Manchester Centre for AI Fundamentals has positions open at all levels: Senior Lecturer, Lecturer, Research Fellow, Postdoc, and PhD (funded). Now is the time to join the University of Manchester … research. The university is a key partner of the national Alan Turing Institute, hosting 33 Turing Fellows and Fellows of the European Laboratory of Learning and Intelligent Systems (ELLIS), in the new ELLIS Unit Manchester. The ambition is to establish a leading AI centre at the intersection of these ...

iconic games, including titles from EA SPORTS and Battlefield. We are looking for a Software Engineer with expertise in developing and integrating runtime machine learning solutions to join our team. You will report to a Leader of Engine Development and collaborate with game teams, central technology engineers, and researchers … bring ML models into the hands of our players by deploying them directly within EA games. Responsibilities: Evaluate, adapt, extend, and improve existing machine learning runtime technologies, while designing and implementing new solutions from the ground up when needed. Partner with ML experts across EA to assess, apply ...

University of Manchester is advertising postdoc and research fellow positions in machine learning within the Centre for AI Fundamentals, Manchester, UK. These lectureships form part of a strategic investment in fundamental AI research; candidates should have strong backgrounds in Bayesian inference, automatic experimental design, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, and related areas. #J-18808-Ljbffr ...

future direction of the AutoLab AI platform. Essential knowledge, skills, and experience MSc, PhD, or equivalent industry experience in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related discipline. Hands-on experience with frontier foundation models, including autoregressive foundation models such as Large Language Models (LLMs), Vision-Language … Vision-Language-Action (VLA) models, as well as embodied AI models and world models. Experience with continuous pre-training, post-training, supervised fine-tuning, reinforcement learning, and other foundation model optimisation techniques. Hands-on experience building end-to-end machine learning pipelines, including data curation, data mixing ...

work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Machine Learning, Reinforcement Learning, Autonomous Systems, Assurance, Hardware, Software, Systems Integration, Artificial Intelligence, Embedded Software, Embedded Systems, Space Autonomy, Assured Autonomy, High Integrity Software ...

work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Machine Learning, Reinforcement Learning, Autonomous Systems, Assurance, Hardware, Software, Systems Integration, Artificial Intelligence, Embedded Software, Embedded Systems, Space Autonomy, Assured Autonomy, High Integrity Software ...

Title Machine Learning Engineer Purpose To lead the design and productionisation of Generative AI and LLM-driven applications, utilising GCP and Google’s AI ecosystem. The ML Engineer will architect scalable systems, mentor junior engineers and drive the technical roadmap for integrating Large Language Models into core products, demonstrating … Senior Lead Engineer with Line management responsibility Key Relationships Engineering Team Product Team Main Tasks General 1 Design, develop and deploy advanced machine learning and deep learning models and pipelines. 2 Collaborate with cross-functional teams to translate complex business problems into ML-driven solutions. 3 Architect scalable ...

Senior Machine Learning Engineer Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural … resource, digital, energy transition and infrastructure challenges. Job Summary We’re seeking a versatile Senior Machine Learning Engineer with strong data engineering instincts and a passion for production-grade AI systems. You'll play a pivotal role across the AI development lifecycle — from data ingestion to deployment — ensuring ...

Requirements The Role: We are seeking an AI Data Scientist to help build intelligent, data-driven products. You will design, develop, and deploy machine learning models, working across data engineering and analytics to solve complex business problems. Youll collaborate with product, engineering, and business teams to transform data into … actionable insights and high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data ...

Newcastle upon Tyne, with a growing international footprint, and we’re recruiting exceptional engineers across every level. The role We’re looking for Machine Learning Engineers to work on models themselves: training them, understanding them, and making them run where they need to run. This is a hands … might include fully engineered solutions, Proof of Concepts (POCs), and applied research to support future defence-relevant capabilities. Responsibilities Develop, train and evaluate machine learning models, working at the algorithmic level rather than treating models as black-box components Optimise model performance and inference for the environments our clients ...

looking for a Machine Learning Engineer/AI Research Engineer to join our small core team. This is a hands-on role sitting at the intersection of modern machine learning and quantum computing — with two complementary directions. ML for quantum — using neural networks and learning-based methods … Achievements get rewarded. What we're looking for Strong Python, with good software-engineering habits (Git, testing, reproducible experiments). Solid grounding in machine learning/deep-learning fundamentals — you can build, train, and debug neural networks from scratch in a modern framework (PyTorch, JAX, or similar). ...

scientific manner Data science skills, including handling of large data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within … related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.) Master’s degree or Postgraduate (preferred) qualification from ...

services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy, spaCy, PyTorch or TensorFlow). Demonstrated experience taking machine learning models from prototype to production - training, packaging, deployment, monitoring, retraining, and decommissioning - in real-world business applications. Proven experience working with large datasets and distributed … research feed analytics; exposure to computer vision or multi-modal document processing (OCR, layout-aware extraction) is a plus. Familiarity with AWS machine learning services such as Amazon Bedrock with EKS-based deployment. Knowledge of deep learning architectures (CNNs, transformers, sequence models) and of reinforcement learning ...

point clouds, grasp planning), human‐robot collaboration safety and cobot standards, simulation environments (Gazebo, MuJoCo, Isaac Sim), AI/ML for robotics (reinforcement learning, imitation learning, learned grasping), or laboratory and pharmaceutical automation is valuable but not required. What this Role Is (and isn’t) This role ...

safety of ARIADNE ahead of clinical evaluation. You will address the two principal safety risks identified through formal risk analysis (ISO 14971): inadvertent reinforcement of delusional beliefs, and inappropriate responses to suicidal symptoms. You will develop LLM “supervisor” modules that detect these events and flag them to the debriefing … evaluators and calibrated against human clinicians. About You You will have or be close to the completion of PhD/DPhil in machine learning, computer science, computational neuroscience, mathematics, or a related quantitative discipline and possess sufficient specialist knowledge in the discipline to work within established research programme ...

production experience with agentic AI are essential. Our stack includes AWS, Python, PyTorch, Docker, LangChain/LangGraph and Langfuse. Experience with reinforcement learning or an understanding of sales psychology would be desirable plus there's plenty of ambitious work now and upcoming. The person we're looking … ended problems and seeing the solution through to real users Has a get-things-done mindset and takes work from idea to delivery Keeps learning and stays current in a fast-moving field Practical and collaborative: argues a position with conviction, and changes it when the evidence says ...

solutions that improve the engineering experience and developer productivity. Required Skills and Experience: Deep hands on expertise across AI, ML, GenAI, LLMs, RAG, reinforcement learning, agentic and multi-agent systems, and applied AI engineering. Strong software and backend engineering capability, with experience architecting, building, testing, deploying, and scaling … industry leaders and innovators, contributing to flawless service builds that improve our global operations. We provide an encouraging and inclusive environment that encourages continuous learning and professional growth. Your success is our success, and together we can build services that compete on the world stage! #LI ...

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 ...