51 to 75 of 152 Reinforcement Learning Jobs in the UK

Fulfillment Technology) Software, FC Launch, Supply Chain, and EU fulfillment center leaders Create standards for your process and training material in collaboration with the Learning & Development team, to secure high level of knowledge within the FC operations Collaborate with the extended EU ACES teams to define process standards and … process excellence and continuous improvement culture in a large organization Strong Process/benchmark auditing and non-compliance management experience Experience with modern machine learning: deep learning, online/reinforcement learning, semi-supervised and transfer learning Experience working with technology and software teams to align More ❯

Fulfillment Technology) Software, FC Launch, Supply Chain, and EU fulfillment center leaders Create standards for your process and training material in collaboration with the Learning & Development team, to secure high level of knowledge within the FC operations Collaborate with the extended EU ACES teams to define process standards and … process excellence and continuous improvement culture in a large organization Strong Process/benchmark auditing and non-compliance management experience Experience with modern machine learning: deep learning, online/reinforcement learning, semi-supervised and transfer learning Experience working with technology and software teams to align More ❯

environment. What You'll Do: Drive the full lifecycle of ML solutions for CoCaM services, including research, design, development, evaluation, and deployment. Manage Machine Learning projects ranging from Supervised Learning, to Reinforcement Learning, to LLMs. Optimize and monitor deployed ML model performance, implementing improvements based on … applications. Work closely with engineering teams to integrate ML models into existing systems and workflows. Be an active participant of a group of machine learning engineers, staying updated with the latest advancements, participating in code reviews, and contributing to knowledge sharing across the team. Who You Are: 2+ years … of hands-on experience in developing and deploying machine learning models in a production environment. Practical experience in implementing ML systems using languages like Python or Scala and are familiar with relevant ML libraries and frameworks (e.g., TensorFlow or PyTorch). Solid understanding of various machine learning algorithms More ❯

environment. What You'll Do Drive the full lifecycle of ML solutions for CoCaM services, including research, design, development, evaluation, and deployment. Manage Machine Learning projects ranging from Supervised Learning, to Reinforcement Learning, to LLMs. Optimize and monitor deployed ML model performance, implementing improvements based on … applications. Work closely with engineering teams to integrate ML models into existing systems and workflows. Be an active participant of a group of machine learning engineers, staying updated with the latest advancements, participating in code reviews, and contributing to knowledge sharing across the team. Who You Are 2+ years … of hands-on experience in developing and deploying machine learning models in a production environment. Practical experience in implementing ML systems using languages like Python or Scala and are familiar with relevant ML libraries and frameworks (e.g., TensorFlow or PyTorch). Solid understanding of various machine learning algorithms More ❯

environment. What You'll Do Drive the full lifecycle of ML solutions for CoCaM services, including research, design, development, evaluation, and deployment. Manage Machine Learning projects ranging from Supervised Learning, to Reinforcement Learning, to LLMs. Optimize and monitor deployed ML model performance, implementing improvements based on … applications. Work closely with engineering teams to integrate ML models into existing systems and workflows. Be an active participant of a group of machine learning engineers, staying updated with the latest advancements, participating in code reviews, and contributing to knowledge sharing across the team. Who You Are 2+ years … of hands-on experience in developing and deploying machine learning models in a production environment. Practical experience in implementing ML systems using languages like Python or Scala and are familiar with relevant ML libraries and frameworks (e.g., TensorFlow or PyTorch). Solid understanding of various machine learning algorithms More ❯

office is open planned, and you will be working in an innovative and collaborative environment with your international peers and colleagues. As the Machine Learning (ML) Engineer II, you will be responsible for developing AI Labs' machine learning platform and creating production-ready AI-based solutions for key … guidance to other parts of the business. Key Accountabilities: ML and Natural Language Processing (NLP) Technology: • Leverage proprietary technology stack to build custom machine learning models • Design, implement, and document new ML/NLP modeling techniques and strategies • Develop Back-end/server-side software to support AI solution … development and serving • Build internal frameworks, libraries, and infrastructure to improve machine learning and NLP capabilities to allow for rapid prototyping and new product delivery • Review and adapt recent research in ML and NLP into prototypes and production solutions • Review and improve the code of other engineers to enhance More ❯

and data pipelines Conducting experiments and evaluating model performance to ensure high-quality results Staying current with the latest developments in AI and machine learning technologies Influencing the technical direction of AI within G-Research Working with the latest Large Language Models (LLMs), utilising both commercial APIs and on … A degree in Computer Science, Artificial Intelligence, or a related field, or equivalent professional experience Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch, TensorFlow or JAX Hands-on experience fine-tuning LLMs and optimising hyperparameters for improved performance Skilled in building LLM-powered … applications for real-time decision-making and automation across various domains Familiarity with RAG and agentic workflows Solid understanding of machine learning algorithms, deep learning architectures, and their applications Strong problem-solving skills and the ability to translate complex business requirements into technical solutions Desirable skills: Experience with More ❯

and data pipelines Conducting experiments and evaluating model performance to ensure high-quality results Staying current with the latest developments in AI and machine learning technologies Influencing the technical direction of AI within G-Research Working with the latest Large Language Models (LLMs), utilising both commercial APIs and on … A degree in Computer Science, Artificial Intelligence, or a related field, or equivalent professional experience Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch, TensorFlow or JAX Hands-on experience fine-tuning LLMs and optimising hyperparameters for improved performance Skilled in building LLM-powered … applications for real-time decision-making and automation across various domains Familiarity with RAG and agentic workflows Solid understanding of machine learning algorithms, deep learning architectures, and their applications Strong problem-solving skills and the ability to translate complex business requirements into technical solutions Desirable skills: Experience with More ❯

generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. Responsibilities Design methods, tools, and infrastructure to … goals informed by practical engineering concerns. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Work with a large and globally distributed team. Contribute … open-sourcing efforts. Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research experience in machine learning, deep learning, and/or natural language processing. Experience with developing machine learning models at scale from inception to business impact. Programming More ❯

generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. Responsibilities Design methods, tools, and infrastructure to … goals informed by practical engineering concerns. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Work with a large and globally distributed team. Contribute … open-sourcing efforts. Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research experience in machine learning, deep learning, and/or natural language processing. Experience with developing machine learning models at scale from inception to business impact. Programming More ❯

generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. Research Engineer, GenAI Responsibilities Design methods, tools … goals informed by practical engineering concerns. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Work with a large and globally distributed team. Contribute … open-sourcing efforts. Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research experience in machine learning, deep learning, and/or natural language processing. Experience with developing machine learning models at scale from inception to business impact. Programming More ❯

call activities for critical issues. Basic Qualifications Master's or PhD in computer science, statistics or a related field. 5+ years experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Experience in Python … for the Large Language Model (LLM) that drives Alexa+. We work on recent advances in LLM science including automated prompt optimisation, supervised fine tuning, reinforcement learning, model distillation, retrieval augmented generation, model & prompt interpretability and LLM driven data generation. The techniques are used to tune a foundational model More ❯

intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of Natural Language Processing (NLP), Large Language Model … Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware personal assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in … and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learing, deep learning and language model technologies. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in the state of More ❯

Are you a curious and open-minded individual with an interest in leading teams conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientist Managers with a passion for leading teams and solving challenging machine learning problems in a data-rich, complex … academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation … sleeves and participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning & reasoning (e.g. LLMs & Knowledge Graphs, Advanced Prompting, CoT pipelines, RAG, Tool More ❯

by the challenge of teaching robots how to understand and manipulate the physical world? Do you want to build real systems that use machine learning and perception to grasp and interact in unstructured and unknown environments? Do you thrive in fast-paced, multidisciplinary teams solving hard problems? If so … defence. Our robotic systems are designed to perform autonomous manipulation in the harshest and most complex environments imaginable. We're looking for a Machine Learning Robotic Manipulation Engineer to lead development of the core ML-based grasping stack for our robotic capture system. In this role, you'll research … about robotics and want to see your work in action, this is the role for you. What You'll Do Lead development of machine learning systems for real world grasping and manipulation of unknown objects in space. Design and train models for arbitrary grasp candidate prediction and real-time More ❯

LLMs and GenAI. Performing feature engineering and selection to optimize model performance. Selecting and implementing appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Training, evaluating, and optimizing models using machine learning and statistical techniques. Conducting extensive data exploration, analysis, and preprocessing to ensure … in AI/ML development. Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Skills & Competencies: Must Have: Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets More ❯

learning. Analyse behavioural datasets to uncover insights and patterns. Design and train predictive models based on user interactions, decision flows, and sequences. Apply machine learning and deep learning techniques to simulate and anticipate behaviour. Collaborate with the wider AI/ML engineers and team Develop and implement scalable … data pipelines and experimentation frameworks. Translate business and product questions into data-driven solutions. Stay on top of emerging trends in behavioural modelling, reinforcement learning, and cognitive AI. What we are looking for: 2+ years of experience in data science or machine learning roles. Strong knowledge of More ❯

Scientist Salary: £50,000 - £57,000 Location: Birmingham - Hybrid working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R … and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud-based More ❯

Scientist Salary: £50,000 - £57,000 Location: Birmingham - Hybrid working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R … and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud-based More ❯

options in Barcelona, Berlin, or London, designed to maximize team interaction. Remote work options are also considered. Basic Qualifications PhD in Operations Research, Machine Learning, Statistics, Applied Mathematics, Computer Science, or related fields, or equivalent experience. Excellent written and verbal communication skills. Experience programming in Java, Python, C++, or … in a fast-paced applied research environment. Ability to handle ambiguity. Top-tier publications in relevant fields. Key Responsibilities Solve complex optimization and machine learning problems using scalable algorithms. Design and develop prototypes addressing real-world logistics challenges. Lead analyses to support decision-making and communicate results to leadership. … optimizing Amazon's logistics through advanced mathematical algorithms and data-driven techniques. We work closely with academic experts, employ cutting-edge methods like deep learning and reinforcement learning, and prioritize correct modeling and production-ready prototypes. Our goal is to support strategic investments and solve real-world More ❯

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. • Train, evaluate, and optimize models using machine learning techniques. • Deploy models to production environments, ensuring robustness and scalability. • Monitor model … in AI/ML development. • Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). • Proficiency in Python, R, or other relevant programming languages. • Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn … invested in wellbeing apps such as Thrive and Peppy. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from think tanks to hackathons, and access to 250,000 courses with More ❯

recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to … You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of … successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Typical Responsibilities: Propose and More ❯

Social network you want to login/join with: Machine Learning Engineer: AI for Quantum, London col-narrow-left Client: Location: London, United Kingdom Job Category: - EU work permit required: Yes col-narrow-right Job Reference: a7a5bb586ed9 Job Views: 3 Posted: 26.04.2025 Expiry Date: 10.06.2025 col-wide Job Description … a quantum computer poses numerous challenges. Modern AI methods show promise in tackling them, and such a project requires the application of modern machine learning techniques. At Quantinuum we are currently forming a new team to implement our AI strategy, successful applicants will have the opportunity to help us … build this. As a Machine learning Engineer in the AI for Quantum team, you will use state-of-the-art methods, in collaboration with quantum computing scientists, to solve hard problems arising in the full quantum computing stack, such as circuit compilation, searching for error-correcting codes, even identifying More ❯

skills Relevant experience (Post-Doctoral or industrial) in robotics, data fusion, tracking/estimation, pattern discovery & recognition, statistical inference, optimisation and machine/deep learning algorithms along with real-time implementation, and/or validation & verification is a strong advantage Experience in Matlab, Simulink and/or Stateflow, Python … filters, grid-based estimation methods, Multi-Object-Multi-Sensor Fusion, data-association, random finite sets, Bayesian belief networks, Dempster-Shafer theory of evidence Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural networks, Bayesian … inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification, deep embeddings, recurrent Networks, natural language processing Computer Vision algorithms e.g. Structure from motion, image Based navigation, SLAM, pose estimation/recovery To be considered for the More ❯

recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to … You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of … successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have More ❯