51 to 75 of 190 Reinforcement Learning Jobs in London

Design (Full-Time | Hybrid | London) About DeepPCB DeepPCB is My Client’s cutting-edge AI-powered Place & Route design tool for Printed Circuit Boards (PCBs). By combining deep reinforcement learning with high-performance computing, DeepPCB automates and accelerates PCB layout workflows—helping hardware teams around the world design faster, smarter, and more efficiently. Learn more at deeppcb.ai … to join the DeepPCB team and push the boundaries of artificial intelligence in electronic design automation (EDA). In this role, you'll design, build, and scale advanced machine learning systems—solving complex real-world PCB design challenges and contributing to the future of intelligent hardware engineering. Key Responsibilities Research and implement scalable deep learning and reinforcement learning algorithms tailored for PCB place-and-route problems. Adapt ML algorithms for performance in distributed and GPU-accelerated environments. Build production-ready ML solutions and prototypes that directly integrate into the DeepPCB platform. Communicate research progress clearly to both technical and non-technical audiences. Collaborate across research, engineering, product, and business teams to drive innovation. Represent DeepPCB More ❯

Design (Full-Time | Hybrid | London) About DeepPCB DeepPCB is My Client’s cutting-edge AI-powered Place & Route design tool for Printed Circuit Boards (PCBs). By combining deep reinforcement learning with high-performance computing, DeepPCB automates and accelerates PCB layout workflows—helping hardware teams around the world design faster, smarter, and more efficiently. Learn more at deeppcb.ai … to join the DeepPCB team and push the boundaries of artificial intelligence in electronic design automation (EDA). In this role, you'll design, build, and scale advanced machine learning systems—solving complex real-world PCB design challenges and contributing to the future of intelligent hardware engineering. Key Responsibilities Research and implement scalable deep learning and reinforcement learning algorithms tailored for PCB place-and-route problems. Adapt ML algorithms for performance in distributed and GPU-accelerated environments. Build production-ready ML solutions and prototypes that directly integrate into the DeepPCB platform. Communicate research progress clearly to both technical and non-technical audiences. Collaborate across research, engineering, product, and business teams to drive innovation. Represent DeepPCB More ❯

AI, you will be at the forefront of building, deploying, and optimizing enterprise-grade AI agents that handle high-stakes conversations. You’ll work directly with software engineers, deep learning experts and AI researchers to design intelligent agents that understand, take action, and deliver real business impact. This role requires a mix of software development, AI integration, and problem … this role is for you. You will: Build, deploy, and optimize AI agents that engage in enterprise-grade conversations. Design & develop next-gen multimodal LLM architectures (LLMs, speech, vision, reinforcement learning) Explore optimal trade-offs between model quality and efficiency when translating research into practical solutions Refine training paradigms for real-world applications Integrate AI agents with enterprise … experiment, and iterate quickly to improve AI agents. Strong problem-solving skills and the ability to work closely with customers to refine AI solutions. Solid mathematical foundation of machine learning and deep learning techniques Bonus Points If... You have experience with prompt engineering, parameter-efficient fine-tuning (PEFT), retrieval-augmented generation (RAG), reinforcement learning for LLMs. More ❯

pursuit. Program Highlights Mentorship: Collaborate with experienced researchers and engineers on innovative AI projects Research Focus: Engage in areas such as large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models Professional Development: Gain hands-on experience in AI research with real-world applications, contributing to both academic publications and product development … leading universities and contribute to the broader scientific community Work Arrangement: Benefit from a hybrid work model, combining remote and on-site collaboration Responsibilities Conduct innovative research in machine learning and artificial intelligence Develop and implement algorithms Collaborate with cross-functional teams to integrate AI solutions Publish research findings in top-tier conferences and journals Stay up to date … with the latest advancements in AI and related fields Qualifications Required: PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Proficiency in programming languages such as Python, C++, or similar Strong problem-solving skills and the ability to work both independently and collaboratively Excellent communication skills, with the ability to present complex ideas clearly More ❯

pursuit. Program Highlights Mentorship: Collaborate with experienced researchers and engineers on innovative AI projects Research Focus: Engage in areas such as large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models Professional Development: Gain hands-on experience in AI research with real-world applications, contributing to both academic publications and product development … leading universities and contribute to the broader scientific community Work Arrangement: Benefit from a hybrid work model, combining remote and on-site collaboration Responsibilities Conduct innovative research in machine learning and artificial intelligence Develop and implement algorithms Collaborate with cross-functional teams to integrate AI solutions Publish research findings in top-tier conferences and journals Stay up to date … with the latest advancements in AI and related fields Qualifications Required: PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Proficiency in programming languages such as Python, C++, or similar Strong problem-solving skills and the ability to work both independently and collaboratively Excellent communication skills, with the ability to present complex ideas clearly More ❯

looking for an agile Lead Data Scientist who can contribute to all stages of our data science client projects. This means that as well as developing cutting-edge machine learning solutions, we are looking for someone who can also design data science solutions from scratch and present their team's work in an engaging and informative manner. If you … Build strong client relationships and lead project centred client interactions Oversee the delivery of high-quality code and successful project outcomes Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for … project management and risks Experience of completing code reviews in Python and SQL through Git, and applying other best practices to technical projects Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning More ❯

The role will report to VP Data Science, and be part of a small (but growing!) team of Data Scientists. The ideal candidate wi ll have a background in Reinforcement Learning (or related disciplines ) , with hands-on cloud technology experience . Whilst commercial experience is highly desirable, given the deployment of RL at scale remains relatively nasant , we … s. Key Responsibilities: Develop and optimize the ACO algorithm(s) and related Data Science compone n ts for the product Design and contribute to the end-to-end machine learning pipeline from data collection, reprocessing to model training, simulation, evaluation, deployment and experimentation/testing Implement and interpret explainability frameworks to provide clear insights into model decisions, ensuring transparency … Bachelor's or master's degree in D ata S cience , Computer Science, Engineering, Statistics, or a related quantitative field Hands-on (academic/commercial) e xperience in implementing Reinforcement Learning (or a related displicine ) . Please note: We use the term R einforcement L earning as an umbrella term rather than a specialist term for state-dependent More ❯

continuously. The role will report to VP Data Science and be part of a small (but growing!) team of Data Scientists. The ideal candidate will have a background in Reinforcement Learning (or related disciplines), with hands-on cloud technology experience. Whilst commercial experience is highly desirable, given the deployment of RL at scale remains relatively nasant, we’re … scalable, global products. Key Responsibilities: Develop and optimize the ACO algorithm(s) and related Data Science components for the product Design and contribute to the end-to-end machine learning pipeline from data collection, reprocessing to model training, simulation, evaluation, deployment and experimentation/testing Implement and interpret explainability frameworks to provide clear insights into model decisions, ensuring transparency … Enterprise. Essential qualifications: Bachelor's or master's degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative field Hands-on (academic/commercial) experience in implementing Reinforcement Learning (or a related displicine). Please note: We use the term Reinforcement Learning as an umbrella term rather than a specialist term for state-dependent More ❯

tooling, and models that will drive alpha generation and risk management for years to come. As a Quant Developer, you will work at the intersection of quantitative research, machine learning, and software engineering. You'll collaborate with quants, data scientists, and portfolio managers to design and implement scalable systems for data ingestion, model training, and real-time signal deployment. … to architectural decisions and technology stack selection for the greenfield platform. Required Skills & Experience Strong programming skills in Python, with experience in production-grade systems. Solid understanding of machine learning workflows, including model training, validation, and deployment. Experience with quantitative finance, including time series analysis, alpha modelling, or risk analytics. Familiarity with cloud infrastructure (e.g., AWS, GCP) and containerisation … engineering tools Experience working in fast-paced, collaborative environments with agile methodologies. Nice to Have Prior experience in a hedge fund, prop trading firm, or investment bank. Exposure to reinforcement learning, deep learning, or LLMs in financial contexts. Knowledge of market microstructure and execution algorithms. Contract Details Duration: 12 months Start Date: July 2025 Location: London (Hybrid More ❯

visits within Europe per year) What you will be doing: Lead the development of AI/ML solutions for marketing technology and digital automation. Design, build, and optimize machine learning models focused on customer segmentation, personalization, predictive analytics, and ad targeting. Apply AI to solve data quality challenges and drive campaign automation, budget allocation, and A/B testing … actionable insights. Work closely with cross-functional teams to integrate AI solutions into marketing workflows and core product offerings. Oversee full ML pipelines, including model development (classical and deep learning), explainability (e.g., SHAP, LIME), deployment (via APIs), and monitoring. Lead trade-off analysis and ensure strategic alignment of technical direction with business goals. Structure AI initiatives into clear, actionable … performance across AI/ML workflows. What you will bring: Proven experience in technical leadership of AI/ML engineering teams. Strong understanding of supervised, unsupervised, semi-supervised, and reinforcement learning techniques. Hands-on experience with LLMs (e.g., OpenAI, Bard), including prompt engineering and fine-tuning. Proficient in Python and popular ML libraries (TensorFlow, PyTorch). Experience deploying More ❯

visits within Europe per year) What you will be doing: Lead the development of AI/ML solutions for marketing technology and digital automation. Design, build, and optimize machine learning models focused on customer segmentation, personalization, predictive analytics, and ad targeting. Apply AI to solve data quality challenges and drive campaign automation, budget allocation, and A/B testing … actionable insights. Work closely with cross-functional teams to integrate AI solutions into marketing workflows and core product offerings. Oversee full ML pipelines, including model development (classical and deep learning), explainability (e.g., SHAP, LIME), deployment (via APIs), and monitoring. Lead trade-off analysis and ensure strategic alignment of technical direction with business goals. Structure AI initiatives into clear, actionable … performance across AI/ML workflows. What you will bring: Proven experience in technical leadership of AI/ML engineering teams. Strong understanding of supervised, unsupervised, semi-supervised, and reinforcement learning techniques. Hands-on experience with LLMs (e.g., OpenAI, Bard), including prompt engineering and fine-tuning. Proficient in Python and popular ML libraries (TensorFlow, PyTorch). Experience deploying More ❯

will be leading, designing and experimenting with cutting edge research on how to best solve pressing issues surfacing in the legal domain. You will apply your expertise in machine learning, data science, and behavioural modelling to drive meaningful insights and innovations. As AI agents become the norm in this industry, so does the need for efficient legal information retrieval … retrieval and reasoning over legal knowledge bases and systems (e.g. hybrid search approaches combining symbolic and neural techniques, query understanding and rewriting for legal search) Performing fine-tuning and reinforcement learning to teach language models how to interact with new information architectures. Building “hard” eval sets to help identify failure modes of how language models work with legal … data. Build infrastructure for running experiments and visualising results. Work with colleagues to communicate results internally and publicly. Stay updated with the latest research in machine learning, AI, knowledge representation and retrieval to bring innovative solutions to the table. Mentor junior researchers and contribute to building a collaborative, knowledge-sharing culture. Ideally, You Should Have The Following Qualifications A More ❯

Predictive Modelling, Optimisation, Clustering or 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 develop a solution alongside stakeholders … platforms (essential) Programming for modelling 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 people can't stop talking More ❯

Expiry Date: 13.08.2025 col-wide Job Description: Infosys Consulting is at the forefront of applied AI innovation, delivering real-world business value through the convergence of AI agents, machine learning, and modern enterprise architecture. As part of our growing Enterprise AI consulting practice, we are looking for technically hands-on professionals to design and deliver client-centric intelligent systems … communication and consulting skills, with the ability to present solutions to both technical and non-technical stakeholders. Preferred Skills · Hands-on exposure to cognitive architectures, planning-based agents, or reinforcement learning in real-world deployments. · Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs. · Understanding of AI observability, performance monitoring, and More ❯

Infosys Consulting is at the forefront of applied AI innovation, delivering real-world business value through the convergence of AI agents, machine learning, and modern enterprise architecture. As part of our growing Enterprise AI consulting practice, we are looking for technically hands-on professionals to design and deliver client-centric intelligent systems and support business growth through strategic pre … communication and consulting skills, with the ability to present solutions to both technical and non-technical stakeholders. Preferred Skills • Hands-on exposure to cognitive architectures, planning-based agents, or reinforcement learning in real-world deployments. • Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs. • Understanding of AI observability, performance monitoring, and More ❯

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 Machine Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll 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 optimization and intelligent systems Collaborate with engineering teams to integrate AI into real-world tools Stay current on AI trends and contribute to open research Requirements: PhD or equivalent experience in ML, AI, CS … physics, or mathematics Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work on impactful AI research with real-world applications Collaborate with top researchers in a More ❯

Social network you want to login/join with: Machine Learning Engineer (PhD), london (city of london) col-narrow-left Client: microTECH Global LTD Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: About Us: MicroTECH-Global are … 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 Machine Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll 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 optimization and intelligent systems Collaborate with engineering teams to integrate AI into real-world tools Stay current on AI trends and contribute to open research Requirements: PhD or equivalent experience in ML, AI, CS More ❯

PlayStation, the Future Technology Group is dedicated to creating immersive and unforgettable gaming experiences. As we continue to push the boundaries of technology, we are seeking a talented Machine Learning Engineer specialising in Imitation Learning to join our dynamic R&D team. A passion for pushing the boundaries of artificial intelligence and a commitment to publishing in top … tier conferences and journals are essential. Our team is at the forefront of Imitation Learning and Reinforcement Learning techniques for game-playing agents, and we seek an expert in the field to join us in developing new technologies. As a Machine Learning Engineer, you will be a key contributor to our research team, supporting the technical … lead in driving technical excellence and innovation. You will be responsible for designing, implementing and optimising novel machine learning models and algorithms to perform challenging and diverse tasks. You will perform a central role in a highly collaborative and fast-moving environment where innovation and creativity are encouraged. What you’ll be doing: Imitation Learning Development : Design, develop More ❯

is provided by Brio Digital. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Job Title: Machine Learning Engineer – Computer Vision Focus Overview: We’re looking for a skilled Machine Learning Engineer to join a growing technology company building cutting-edge solutions for real-world automation. … of a small, collaborative team applying computer vision to improve performance, efficiency, and user experience across multiple sectors. This role offers the chance to work on high-impact machine learning problems, shape production-ready models, and contribute to the development of a platform that’s democratising access to AI-driven automation. Key Responsibilities: Model Development: Design, train, and deploy … machine learning models for computer vision use cases such as object detection, classification, and segmentation. Data Handling: Collaborate with data engineers to manage large datasets, ensuring quality data pipelines for model training and evaluation. Algorithm Tuning: Optimise model performance through experimentation with architectures and hyperparameters. Cross-Functional Collaboration: Work closely with engineers, product managers, and designers to integrate ML More ❯

the Role We’re looking for smart and curious individuals from industry and academia to join our client's growing AI Lab and push the boundaries of applied deep learning in trading. On their AI team, you’ll build and train deep learning models that directly power their trading strategies, supported by a massive and rapidly expanding compute … next, you’re analysing how a model trades in production or designing a new architecture to capture subtle market signals. They will rely on your deep knowledge of deep learning, whether your background is in LLMs, recsys, image models, RL agents, or classical methods, to help shape the next generation of their ML-driven trading. You’ll also contribute … and conference travel. Who We’re Looking For We’re open to a range of backgrounds and experiences, but the ideal candidate will have: An advanced degree in machine learning, statistics, applied math, or a related discipline; or equivalent experience in industry applying ML to challenging problems Expertise in one or more of: deep learning, reinforcement learning More ❯

the Role We’re looking for smart and curious individuals from industry and academia to join our client's growing AI Lab and push the boundaries of applied deep learning in trading. On their AI team, you’ll build and train deep learning models that directly power their trading strategies, supported by a massive and rapidly expanding compute … next, you’re analysing how a model trades in production or designing a new architecture to capture subtle market signals. They will rely on your deep knowledge of deep learning, whether your background is in LLMs, recsys, image models, RL agents, or classical methods, to help shape the next generation of their ML-driven trading. You’ll also contribute … and conference travel. Who We’re Looking For We’re open to a range of backgrounds and experiences, but the ideal candidate will have: An advanced degree in machine learning, statistics, applied math, or a related discipline; or equivalent experience in industry applying ML to challenging problems Expertise in one or more of: deep learning, reinforcement learning More ❯

at Huawei Technologies Research & Development (UK) Ltd Get AI-powered advice on this job and more exclusive features. Job Description Job Title Research Engineer – Bayesian Optimization Department/Group Reinforcement Learning Team Reports To Haitham Ammar Manager Position No Location London Position Type Full time 37.5 hours per week About Huawei Research And Development UK Limited Founded in … forward. Job Summary Huawei is looking for a Research Engineer with experience in Bayesian optimization . We wish to recruit exceptional candidates to pursue research in various aspects of reinforcement learning and Bayesian optimization for autonomous decision-making under uncertainty. The successful applicant is expected to develop novel contributions allowing the field to move forward in getting it … a step closer to real-world applications. Key research questions include but are not limited to scalable high-dimensional Bayesian optimization, Gaussian processes, Bayesian neural networks, safe and robust reinforcement learning, multi-agent reinforcement learning, and model-based reinforcement learning. This is an exceptional opportunity for research while collaborating with a diverse team with backgrounds More ❯

The role reports to the VP of Data Science and is part of a small but growing team of Data Scientists. The ideal candidate will have a background in Reinforcement Learning (or related disciplines), with hands-on cloud technology experience. While commercial experience is highly desirable, we are open to candidates with academic research in RL, given the … scalable, global products. Key Responsibilities: Develop and optimize the ACO algorithm(s) and related Data Science components for the product. Design and contribute to the end-to-end machine learning pipeline, from data collection and reprocessing to model training, simulation, evaluation, deployment, and testing. Implement and interpret explainability frameworks to ensure transparency and compliance with WPP standards. Collaborate with … your work. Essential Qualifications: Bachelor's or master's degree in Data Science, Computer Science, Engineering, Statistics, or related quantitative field. Hands-on (academic or commercial) experience in implementing Reinforcement Learning or related disciplines. Completing a module or thesis on RL during a degree is not considered sufficient; we value experience conducting original research, such as in an More ❯

new standards for intelligent automation. Design, develop, and implement sophisticated artificial intelligence systems with a particular focus on multi-agent architectures and advanced techniques such as prompt optimisation and reinforcement learning from human feedback. Collaborate closely with cross-functional teams to integrate innovative AI solutions into the core platform while ensuring scalability, reliability, and high performance. Translate complex … systems by optimising for key performance metrics including response accuracy and user engagement. Mentor junior engineers within the team by sharing your expertise and fostering an environment of continuous learning and innovation. Participate actively in code reviews, design discussions, and collaborative problem-solving sessions to ensure best practices are followed throughout development cycles. Support ethical AI development by considering … you will bring proven experience architecting sophisticated artificial intelligence solutions that address real-world problems. Your background should include deep familiarity with modern frameworks used for building scalable machine learning models as well as practical exposure to emerging trends like generative models or reinforcement learning. You will possess outstanding interpersonal skills that allow you to collaborate seamlessly across More ❯

workshops. We are seeking world-class researchers with experience in one or more of the following areas: autonomous agents, API orchestration, planning, large multimodal models (especially vision-language models), reinforcement learning (RL), and sequential decision-making. Minimum qualifications: PhD, or Master's degree with 6+ years of applied research experience 3+ years of experience building machine learning models for business applications Proficiency in programming languages such as Java, C++, Python, or related languages Experience with neural deep learning methods and machine learning Preferred qualifications: Experience with generative AI and agents Experience in deploying AI products Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and More ❯