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

Description Summary We are seeking a Lead Machine Learning (ML) Engineer with solid experience typically gained over at least 5 years in large multinational manufacturing environments, ideally within the energy, smart infrastructure, or industrial automation sectors. The ideal candidate has a proven track record of independently leading and delivering … Computer Science, Information Technology, Electrical Engineering, or a related field. Solid foundation in AI/ML techniques, including supervised, unsupervised, and reinforcement learning, deep learning, and large language models (LLMs). Experience with ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Hands-on experience deploying ...

Deep Learning Researcher Cambridge/London About Us: MicroTECH-Global are working with a global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Deep Learning Researcher with … strong background in machine learning, AI, or related fields. Youll contribute to innovative projects in areas such as large language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: Conduct and publish cutting-edge AI/ML research Design algorithms for chip ...

vision and cognitive support. This role is available on a 12 month fixed term contract basis. Role And Responsibilities Develop and optimize machine learning models for disease prediction, early diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR) and implement … deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health effectively. Develop AI-powered accessibility solutions for Samsung products, leveraging multi-modal AI (text, image, audio). Adhere to data privacy regulations (GDPR, MDR, HIPPA, EHDS ...

research with real-world applications, making a meaningful impact on people's lives. What You'll Do Innovate in Healthcare: Develop and optimize machine learning models for disease prediction, early diagnosis, and personalized healthcare solutions. Process Diverse Data: Analyze structured and unstructured health data from wearables, IoT devices … Expertise in handling missing data, outliers, and feature engineering. Proficient in Python for hypothesis formulation, testing, and correlation analysis. Experience with supervised/unsupervised learning and model interpretability (SHAP, LIME). Skilled in creating visualizations with Matplotlib or Seaborn. Experience deploying predictive models in clinical settings or EHR systems. ...

advanced prompt engineering strategies Leverage Retrieval-Augmented Generation (RAG) for enhanced contextual performance Build intelligent agents using frameworks like LangChain, LlamaIndex, CrewAI, AutoGen Apply reinforcement learning techniques including Q-learning , policy gradients , and RLlib Collaborate with cross-functional teams to integrate AI solutions into scalable products Ensure … background in fine-tuning and prompt engineering Hands-on experience with RAG pipelines Familiarity with Agent Frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) Solid understanding of reinforcement learning concepts and tools (Q-learning, policy gradients, RLlib) Azure AI Engineer Associate certification (or willingness to obtain) Bachelor's degree ...

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 … RESPONSIBILITIES IN THE BUSINESS : As a Senior Data Scientist at Kainos, you will be building advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role ...

currently working on an AI Engineer role with a global language and translation company. You will be designing, developing, and deploying cutting-edge machine learning solutions across the company.If you enjoy end-to-end ownership (from experimentation to deployment), working with AWS, Docker, MLflow, TensorFlow/PyTorch, and contributing … code in Python Experience with TensorFlow, PyTorch and Scikit-learn Experience with NLPs and LLMs Speech, Text or Audio data Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning ...

Generative AI particularly in using open source models for achieving business outcomes Experience delivering to production in python with a focus on machine learning deep learning natural language processing generative AI image processing and OCR all additional positives Experience with some of the following frameworks TensorFlow Pytorch Hugging … Azure CLI Azure Kubernetes Service AKS and Azure DevOps Experience delivering in teams releasing at a high cadence to production Skills Mandatory Skills : Machine Learning - AIOPS Good to Have Skills : Python, ServiceNow Orchestrator, Azure Cognitive Services, GenAI - LLMOps, RPA - Microsoft Power Automate, Deep Learning - AIOPS, Reinforcement Learning ...

Work – Hybrid (2 Days Onsite in Week) Type of Hiring – Fixed Term Employment (FTE) Project Duration – 12 Months (Possible Extension) Skills Mandatory Skills : Machine Learning - AIOPS Good to Have Skills : Python, ServiceNow Orchestrator, Azure Cognitive Services, GenAI - LLMOps, RPA - Microsoft Power Automate, Deep Learning - AIOPS, Reinforcement Learning … Generative AI particularly in using open-source models for achieving business outcomes Experience delivering to production in python with a focus on machine learning deep learning natural language processing generative AI image processing and OCR all additional positives Experience with some of the following frameworks TensorFlow Pytorch Hugging ...

Work – Hybrid (2 Days Onsite in Week) Type of Hiring – Fixed Term Employment (FTE) Project Duration – 12 Months (Possible Extension) Skills Mandatory Skills : Machine Learning - AIOPS Good to Have Skills : Python, ServiceNow Orchestrator, Azure Cognitive Services, GenAI - LLMOps, RPA - Microsoft Power Automate, Deep Learning - AIOPS, Reinforcement Learning … Generative AI particularly in using open-source models for achieving business outcomes Experience delivering to production in python with a focus on machine learning deep learning natural language processing generative AI image processing and OCR all additional positives Experience with some of the following frameworks TensorFlow Pytorch Hugging ...

peers and colleagues. As the Senior AI Solution Developer, you will be responsible for leveraging Palantir Foundry to develop and implement production ready machine learning and AI solutions for high impact areas in Parexel’s business. In this role, you will design, develop, and deploy Applications, ML models … solutions across the company. Key Accountabilities: ML and Gen AI Technology in Foundry Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end-user applications. Design, implement, and document new ML/Gen AI modeling techniques and strategies. Develop ML pipelines and workflows ...

Machine Learning Engineer (LLM/AI Systems) London/Hybrid | 0–3 Years Experience | Competitive Salary Are you obsessed with AI and large language models? We’re an early-stage startup building real-world products powered by LLMs — from intelligent copilots to adaptive automation tools — and we’re looking … research — we give you time and resources to explore, learn, and publish. What We’re Looking For 0–3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning ...

LLMs and GenAI. Perform feature engineering and selection to optimize model performance. Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Deploy models to production environments, ensuring robustness and scalability. Monitor model performance and define strategies for identifying drift; retrain or refine … needed. Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems. Train, evaluate, and optimize models using machine learning and statistical techniques. Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. Develop and apply data science ...

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst … Data Science team. This is an ideal role for a recent graduate who wants to kickstart their career by working on real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science ...

Build Smarter LLM Agents: Design and develop next‐generation agents that go beyond simple task execution. You’ll leverage memory, dynamic tool use, reinforcement learning, and multi‐agent collaboration to create robust, adaptive ecosystems that deliver real value in complex workflows. Drive Efficiency in LLM Applications: Pioneer innovations … across frameworks, reducing latency and resource usage without sacrificing quality. What We’re Looking For The ideal candidate has a strong foundation in machine learning and natural language processing , with experience in LLM applications or agent frameworks. You should bring curiosity, technical depth, and the ambition to apply research ...

programming languages such as Python and/or C++ for simulation development, integration, or data pipeline automation. Knowledge of world models, VLA models, reinforcement learning, or VLMs. Experience with multimodal sensor data (RGB-D, force-torque, tactile) or scalable data collection. Background in sim-to-real transfer, manipulation ...