251 to 275 of 471 Reinforcement Learning Jobs in the UK

with family and friends, through managing business relationships to pursuing their passions. Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes … globe. As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high … management and partner teams to design and implement solutions in recommender systems for given objectives. Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly. Autonomously find solutions to complex problems in social network recommendations and understand the data generation More ❯

has created a platform for the end-to-end optimization of all the modules used in trading . Opportunity Build AI/ML/reinforcement learning/optimization models for investment selection, optimization, execution, and more Implement AI solutions throughout the firm via collaboration with portfolio management, risk … data and hardware systems Develop the foundational software used for AI What You’ll Bring: At least 2 years of experience training AI, ML, reinforcement learning, and related models -- in the technology, academia, or quantitative trading domains Hands-on experience building, testing and maintaining complex software systems Willingness More ❯

has created a platform for the end-to-end optimization of all the modules used in trading . Opportunity Build AI/ML/reinforcement learning/optimization models for investment selection, optimization, execution, and more Implement AI solutions throughout the firm via collaboration with portfolio management, risk … data and hardware systems Develop the foundational software used for AI What You’ll Bring: At least 2 years of experience training AI, ML, reinforcement learning, and related models -- in the technology, academia, or quantitative trading domains Hands-on experience building, testing and maintaining complex software systems Willingness More ❯

team has created a platform for the end-to-end optimization of all the modules used in trading. Opportunity Build AI/ML/reinforcement learning/optimization models for investment selection, optimization, execution, and more Implement AI solutions throughout the firm via collaboration with portfolio management, risk … data and hardware systems Develop the foundational software used for AI What You’ll Bring: At least 2 years of experience training AI, ML, reinforcement learning, and related models -- in the technology, academia, or quantitative trading domains Hands-on experience building, testing and maintaining complex software systems Willingness More ❯

complex multi-agent systems. Collaborate with engineers to transition experimental models into production-ready systems . Requirements Strong background in AI research, applied machine learning, and NLP . Experience with LLM model adaptation, fine-tuning, and inference optimization . Proficiency in Python, Pydantic, FastAPI, and working with LLM APIs … databases, embeddings, and structured AI retrieval . Hands-on experience with LLM-based planning, reasoning, and autonomous task execution . Familiarity with self-supervised learning, reinforcement learning, or adaptive AI techniques . Ability to translate academic AI research into practical experiments and working prototypes . Experience deploying More ❯

and iterate AI solutions in collaboration with customers and use case leads is a must. You will be responsible for applying generative AI techniques, reinforcement learning, and multi-agent systems to solve real-world industrial challenges. This role demands a high level of creativity in developing new AI … and optimization of AI models to ensure reliability, safety, and regulatory compliance in industrial settings. Stay ahead of the latest advancements in generative AI, reinforcement learning, and multi-agent systems to drive innovation within the company. Qualifications Masters degree in Data Science. Thought leader and expert in applied More ❯

experts, and business leaders working together to build beneficial AI systems. About the role: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are … safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate. Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts … if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases More ❯

VC-backed stealth startup revolutionising retail with cutting-edge AI. We're pioneering a platform that redefines the customer experience, leveraging the power of reinforcement learning, generative AI, and advanced recommendation systems. We're seeking a hands-on Head of Engineering with deep backend expertise and a passion … You will own the technical roadmap and drive its execution, focusing on building systems that can efficiently process and leverage large datasets for machine learning applications. Technical Leadership: Provide technical guidance and mentorship to other engineers as the team grows, fostering a culture of innovation and high-quality code. … Drive Innovation: Translate cutting-edge machine learning research into impactful products and solutions, leading the development process from concept to production. Collaborate closely with the data science team to bring AI-powered features to life. Technology Selection & Evaluation: Continuously evaluate and select the best technologies and tools to support More ❯

data flow using AWS SageMaker/Vertex AI. Evaluate and Implement Emerging Technologies: Research and implement cutting-edge AI technologies, including generative AI and reinforcement learning, to enhance platform capabilities and drive innovation. Build and maintain an evaluation and testing framework: Work in close collaboration with product and … engineering squad with deep interest in understanding and solving end user problems. A technical leader who stays curious about emerging technologies (e.g., generative AI, reinforcement learning) and rapidly evaluates their pros/cons for practical applications. Proven expertise in building and deploying machine learning models using AWS … peers. Birdie does not currently support any visa applications and therefore we do require permanent right to work in the UK. L&D budget Learning an growing is a fundamental part of Birdie life. You'll have an annual personal development budget to put towards books, courses, trainings and More ❯

Join to apply for the Senior Machine Learning (ML) Engineer role at Parexel Join to apply for the Senior Machine Learning (ML) Engineer role at Parexel Parexel is in the business of improving the world’s health. We do this by providing a suite of biopharmaceutical services that … is open planned, and you will be working in an innovative and collaborative environment with your international peers and colleagues. As the Senior Machine Learning (ML) Engineer you will be responsible for developing AI Labs’ machine learning platform and creating production ready AI-based solutions and models for … and providing expert guidance across the company. 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 More ❯

or on-the-job work experience. Deeper expertise in one or more parts of the AI stack, including prompt engineering, pre-training, fine-tuning, reinforcement learning and direct preference optimization, data curation, LLM inference, orchestration, evaluation pipelines, and deployment. Additional or Preferred Qualifications Ability to flex across research … written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to … methodologies, and AI systems design. Demonstrated experience in one or more of the following areas: prompt engineering, experimental design, language model evaluations, fine-tuning, reinforcement learning/direct preference optimization, data curation, and classic machine learning principles. Benefits/perks listed below may vary depending on the More ❯

experience will also be considered) Full rights to work in the UK without limitation While not required, any additional experience with digital twins, machine learning, reinforcement learning or agentic systems within a scientific context would be beneficial. On offer is a very competitive salary and attractive benefits More ❯

multimodal data and study how they interact with text-only models at scale. Building Infrastructure We work on many infrastructure projects including: Complex multimodal reinforcement learning environments. High-performance RPC servers for processing image inputs. Sandboxing infrastructure for securely collecting data. Data Ingestion We are more interested in … Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems GPUs, Kubernetes … Pytorch, or OS internals Language modeling with transformers Reinforcement learning Large-scale ETL The expected salary range for this position is: Annual Salary: £250,000-£270,000 GBP Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based More ❯

AI agents to break down user requests, gather relevant information through perception modules, and efficiently complete multistep tasks through cognitive modules that employ deep learning, reinforcement learning, and probabilistic reasoning. At AWS, you’ll pioneer the next frontier in computing by creating AI agents that go beyond … be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We More ❯

Dr G.A.McHale, Technical Director, AI & Data Science About the Team The team is led by someone with significant AI experience in bio-inspired architectures, reinforcement learning, expert systems, scheduling, meta-heuristics, robotics and natural language processing (including LLMs). We have recruited an experienced scientific computing developer with … Dr G.A.McHale, Technical Director, AI & Data Science About the Team The team is led by someone with significant AI experience in bio-inspired architectures, reinforcement learning, expert systems, scheduling, meta-heuristics, robotics and natural language processing (including LLMs). We have recruited an experienced scientific computing developer with … a stimulating and dynamic environment designed to enable you to flourish. In addition to architect-designed offices and competitive compensation, our benefits include fantastic learning & development opportunities, generous holiday allowances, four additional days off for professional development and many others. To learn more about the GSMA, visit our career More ❯

inclusive, and collaborative. 2. OVERVIEW OF THE ROLE We are seeking talented and versatile engineers with experience in software development, Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs) for short-term (3-month) renewable contracts. In this role, you will be instrumental in designing, developing, deploying … of short-term engagements. Key Responsibilities: • Design, develop, test, deploy, and maintain robust and scalable software applications and infrastructure. • Research, implement, and evaluate machine learning models (including deep learning and potentially reinforcement learning) to address specific business challenges. • Work with Large Language Models (LLMs): fine-tuning … Python and its scientific computing/ML ecosystem (e.g., NumPy, Pandas, TensorFlow, AI Foundry, OpenAI, Scikit-learn etc.). • Solid understanding of core machine learning concepts • Hands-on experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch, Keras). • Proven understanding of software engineering principles More ❯

multimodal data and study how they interact with text-only models at scale. Building Infrastructure We work on many infrastructure projects including: Complex multimodal reinforcement learning environments. High-performance RPC servers for processing image inputs. Sandboxing infrastructure for securely collecting data. Data Ingestion We are more interested in … Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems GPUs, Kubernetes … Pytorch, or OS internals Language modeling with transformers Reinforcement learning Large-scale ETL #J-18808-Ljbffr More ❯

NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environment Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and … and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing More ❯

NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environment Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and … and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing 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 and statistical techniques. Conduct extensive data exploration, analysis, and preprocessing to ensure … ML development and data science. Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency 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 and statistical techniques. • Conduct extensive data exploration, analysis, and preprocessing to ensure … ML development and data science. • Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). • Proficiency in Python, R, or other relevant programming languages. • Proficiency 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 Deploy models to production environments, ensuring robustness and scalability. Monitor model performance … of experience in AI/ML development Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. 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, Tableau More ❯

We are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and Generative AI. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a … edge AI to transform their shopping experience. About the Job We are looking for a Senior Data Scientist with experience in bringing advanced machine learning and data science systems to production to work with our team of industry leading domain experts and engineers. You'll be working across our … entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production More ❯

data scientists, software engineers, and domain experts, to design and implement AI-driven solutions. Stay current with the latest advancements in AI and machine learning, integrating new techniques and technologies as appropriate. Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related … field. Strong expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques. Practical exposure to GenAI projects and related frameworks (RAG apps, vector DBs, LangChain, LlamaIndex, agentic frameworks, ...) Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy 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). Must Have: Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling … Intelligence Engineer jobs in Stevenage, England, United Kingdom . Cambridge, England, United Kingdom 1 week ago Cambridge, England, United Kingdom 5 days ago Deep Learning AI Engineer/Bioinformatics - Expression of Interest Cambridge, England, United Kingdom 4 days ago Cambridge, England, United Kingdom 1 week ago Luton, England, United More ❯