26 to 50 of 90 Reinforcement Learning Jobs in England

Limited At Amazon, we're revolutionizing the future of shopping with Rufus, our AI-driven shopping assistant. We're seeking an exceptional Senior Applied Scientist with a strong machine learning, NLP and Gen AI background with relevant industry experience to join our Rufus Features Science team in London. You will work at the intersection of the latest research and … for conversational shopping, considering scalability, latency, and quality. Design and implement innovative AI technologies that push the boundaries of Natural Language Processing (NLP), Generative AI, MLLMs/VLMs, Machine Learning (ML), Retrieval-Augmented Generation (RAG), and Reinforcement Learning (RL). Lead science roadmaps spanning multiple areas, working with senior leaders and stakeholders. Develop and evaluate production Agentic … combine text, image, audio and video. BASIC QUALIFICATIONS - PhD - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with neural deep learning methods and machine learning - Experience in building machine learning models for business application - PhD in NLP, Information Retrieval, Machine Learning, or related fields (or equivalent experience More ❯

rapidly growing Data and Decision Support capability within a forward-thinking and innovative organisation. This team delivers cutting-edge solutions across a range of Artificial Intelligence (AI) and Machine Learning (ML) domains, with applications spanning defence, security, space, and commercial sectors. The capability's work covers areas such as reinforcement learning, natural language processing (including large language … or funding proposals (e.g., Dstl, National Security, EPSRC). Desired Technical Expertise (one or more of the following): AI/ML for imagery analysis, including applications in remote sensing. Reinforcement learning techniques. Natural Language Processing and Large Language Models. Knowledge graphs and graph-based neural networks. AI/ML for RF and EW, radar, sonar, and acoustics. Autonomy More ❯

Bonus, Extensive Benefits Package Location: Chelmsford Are you an AI Lead Technologist looking for your next challenge? This is your chance to join a cutting-edge AI and Machine Learning capability that's actively shaping the future of data and decision intelligence. Working as part of a highly collaborative and cross-functional team, you'll engage in advanced research … across areas focusing on reinforcement learning and NLP/LLMs, - helping deliver real-world solutions for some of the most complex challenges out there. As an AI Lead Technologist, you'll be encouraged to take the lead on innovative projects that combine academic rigour with impactful application. You'll thrive here if you're passionate about using AI … field with around 10+ years of experience in AI/ML (ideally in the defence or security domain). Deep knowledge in one or more areas such as NLP, reinforcement learning, with broad awareness of other AI disciplines. Strong mathematical, statistical, and computational background underpinning AI/ML work. Demonstrated ability to provide engineering assurance and review of More ❯

type Full time posted on Posted Yesterday job requisition id JREQ193529 Are you a curious and open-minded individual with an interest in conducting state-of-theart foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems 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 of research capabilities across different areas and are looking for scientists who participate in designing, coding … conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric More ❯

type Full time posted on Posted Yesterday job requisition id JREQ193526 Are you a curious and open-minded individual with an interest in conducting state-of-theart foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems 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 of research capabilities across different areas and are looking for managers who can inspire and guide … willing to roll up their 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 & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool More ❯

Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency • LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) • Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom … our nature to learn and 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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising … we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS • 5+ years of professional software development and machine learning experience • Proficiency in at least one programming language • Experience mentoring engineers, leading technical initiatives, or managing an engineering team • Hands-on experience with deep learning and machine learning More ❯

to help improve the performance of our targeting and optimization products. The Applied Science team at Sojern develops services and pipelines to optimize advertising campaign performance and applies machine learning at scale for thousands of customers. We utilize a range of algorithms and methods to do this including: Bayesian statistics and supervised learning to model conversion rates and … role requires availability to work later business hours, with a regular schedule ending at 7:00 PM Mon-Thu. What you will do: Design and maintain statistical and machine learning models to optimize campaign performance Model key performance advertising metrics like conversion rates and click through rates, and use those metrics to automate estimation of campaign bids and budgets … Improve systems that optimize campaign performance and pacing Implement machine learning pipelines on Google Cloud Platform Write and ship production-level python code Write and execute complex SQL queries to extract and transform data from various sources Collaborate with other applied scientists, software engineers, data analysts and product managers to design and implement solutions based on business requirements Document More ❯

Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree …/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). Experience with application of optimization theory or reinforcement learning based on automated A/B testing. Projects you might expect to work on: Predicting future expected value and future potential value of individual customers. Real-time … work from home per quarter (during your first 3 months, you'll be in the office full-time). Benefits & Perks: Monthly meal allowance. Gym allowance. Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. Support for New Parents: - 52 weeks of maternity leave, with 21 weeks being fully paid. More ❯

in the EU Headquarters in Luxembourg (alternatively: Barcelona or Berlin or London), designed to maximize interaction with the team and stakeholders. Key job responsibilities Solve complex optimization and machine learning problems using scalable algorithmic techniques. Design and develop efficient research prototypes that address real-world problems in the massive logistics network of Amazon. Lead complex time-bound, long-term … in leadership to invest in programs of several hundreds millions euros every year. Above all, we are having fun solving real-world problems, in real-world speed, while failing & learning along the way. We use modular algorithmic designs in the domain of combinatorial optimization, solving complicated generalizations of core OR problems with the right level of decomposition, employing parallelization … and approximation algorithms. We use deep learning, bandits, and reinforcement learning to put data into the loop of decision making. We like to learn new techniques to surprise business stakeholders by making possible what they cannot anticipate. For this reason, we work closely with Amazon scholars and experts from Academic institutions. We code our prototypes to be More ❯

to hear from you. Whether you're looking for remote flexibility or prefer to work from India, this role is built for impact. ️ Key Responsibilities: Build and train machine learning models and algorithms Preprocess, clean, and analyse datasets from multiple sources Apply best practices for testing, validation, and deployment Work closely with data scientists, engineers, and product teams Deploy … for workflows and models Required Skills: Strong Python skills + ML libraries (scikit-learn, TensorFlow, PyTorch) Solid understanding of data preprocessing & feature engineering Knowledge of supervised, unsupervised, and deep learning methods Experience in model evaluation & tuning Familiarity with AWS, GCP, or Azure is a plus Strong problem-solving & communication skills Qualifications : Bachelor s or Master s in CS, Engineering … Data Science, or similar 1 5 years experience in AI/ML roles or relevant hands-on projects Nice to Have (Bonus) : NLP, Computer Vision, or Reinforcement Learning experience Knowledge of MLOps tools (MLflow, Kubeflow, etc.) Familiarity with SQL or Big Data tools (e.g., Spark) ️ Please apply only if you meet the skill and experience criteria. This role More ❯

our Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Operations Research, Machine Learning, Statistics and Econometrics models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with other Supply Chain Optimization Technology teams, with … improvements and results in an ever-changing operational environment. As an Applied Scientist, you will design, develop and deploy robust and scalable scientific solutions via Operations Research and Machine Learning algorithms, especially in the context of stochastic customer demand and other sources of uncertainty requiring to move past deterministic and linear optimization. You will partner with other tech and … from both academia and industry BASIC QUALIFICATIONS - PhD, or a Master's degree and experience applying theoretical models in an applied environment - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - 3+ years More ❯

Strong programming skills in Python (e.g., NumPy, Pandas, scikit-learn, TensorFlow/PyTorch). Demonstrable experience in creating and developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations in applied mathematics and physics, particularly in statistical modelling, systems dynamics and differential equations. Familiarity with software engineering best practices: version control (Git), code … GCP). Deep expertise in time series modelling techniques (e.g., ARIMA, VAR, Prophet, LSTM). Solid grasp of control theory concepts (e.g., PID controllers, Kalman Filters, Model Predictive Control, Reinforcement Learning). Familiarity with lower-level development of data pipelines in e.g. C Rust. STARTING COMPENSATION In addition to your base compensation, we offer a generous Total Rewards More ❯

help improve the lives of people in financial difficulty at scale.The data team sits at the heart of Ophelos and is responsible for developing: The Ophelos Decision Engine - a reinforcement learning algorithm that determines the most effective actions for each customer, enhancing results and minimising unwanted interactions OphelosGPT - our generative AI model for empathetic, context-aware customer communication … are looking for someone with: Strong Python skills, particularly within the data science ecosystem (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, visualisation libraries) 4+ years of experience delivering machine learning products end-to-end in production Hands-on experience with LLMs - fine-tuning, prompt engineering, vector databases, or RAG pipelines Proven experience with A/B testing, experimentation design … We're decisive and embrace a sense of urgency; we don't let opportunities get away from us. We'd rather act quickly and take informed risks, iterating and learning as we go. Win as one - We work as one team, supporting each other and aiming for shared goals. At Ophelos, the team isn't just individual departments - it More ❯

Senior Research Scientist £60,000 - £70,000 GBP Hybrid WORKING Location: England , Chelmsford, East of England - United Kingdom Type: Permanent Senior Research Scientist - Data Science & Machine Learning Location: South East UK (Hybrid: typically 2 days onsite in Great Baddow) Clearance: SC clearable (UK EYES ONLY) - DV/UKIC eligibility highly desirable Work Pattern: Full-time (37 hours/week … where your research leads to operational outcomes? We're hiring a Senior Research Scientist to join a leading R&D team working at the intersection of artificial intelligence, machine learning, autonomy, and signal processing. This role sits within a growing capability focused on time-series data, decision support systems, and autonomous platforms-and offers an ideal mix of technical … real-world application. About the Team You'll be part of the Information Technology & Geospatial (ITG) team-a 35-person unit of scientists and product engineers working across: Machine Learning & Statistical Signal Processing NLP, Knowledge Representation, & Graph ML Geospatial Technology & Distributed Systems Autonomy, Reinforcement Learning, & Edge AI The team operates within a larger Advanced Technology division , known More ❯

Research Scientist £70000 GBP Hybrid WORKING Location: Guildford, South East - United Kingdom Type: Permanent Senior Research Scientist - Data Science & Machine Learning Location: South East UK (Hybrid: typically 2 days onsite in Great Baddow) Clearance: SC clearable (UK EYES ONLY) - DV/UKIC eligibility highly desirable Work Pattern: Full-time (37 hours/week) | Hybrid | Flexible Interview Process: One-stage … where your research leads to operational outcomes? We're hiring a Senior Research Scientist to join a leading R&D team working at the intersection of artificial intelligence, machine learning, autonomy, and signal processing. This role sits within a growing capability focused on time-series data, decision support systems, and autonomous platforms-and offers an ideal mix of technical … real-world application. About the Team You'll be part of the Information Technology & Geospatial (ITG) team-a 35-person unit of scientists and product engineers working across: Machine Learning & Statistical Signal Processing NLP, Knowledge Representation, & Graph ML Geospatial Technology & Distributed Systems Autonomy, Reinforcement Learning, & Edge AI The team operates within a larger Advanced Technology division , known More ❯

roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the … become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example … supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a caring More ❯

roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the … become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example … supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a caring More ❯

+ Benefits | Hear from the team About Ops Data: Our Operations Data team consists of over 25 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science. In our Operations Collective, you'll have the opportunity to embed into an area that is the heart of how we work with our customers problems - delivering award … winning customer support - and is full of data challenges. Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently. Youll play a key role... As a Senior Staff ML Scientist , youll be at the pinnacle of our Individual Contributor (IC) career track, serving as the foremost technical … authority in Machine Learning within Monzo. Youll shape foundational ML strategy and platforms that support Operations and influence the design and delivery of ML solutions across the business. You will work cross-functionally with senior leadership, engineering teams, and business stakeholders to define and execute our long-term ML strategy. Youll influence the development of Monzos ML capabilities across More ❯

at the intersection of AI, autonomy, cyber, and complex systems. About the Opportunity You'll head up a 4-person Knowledge & Semantics research group within a wider AI & Machine Learning capability (35+ scientists and engineers) that works across domains such as reinforcement learning, computer vision, signal processing, geospatial data, and applied machine intelligence. This is a hands … technical delivery across projects Present findings to both technical and non-technical audiences Engage with external collaborators, including academia and innovation partners About You PhD (ideally in AI, Machine Learning, Computer Science, or related field) + 4+ years post-doctoral or industry R&D experience Strong experience leading small R&D teams (ideally 5+ people) Demonstrated success in writing More ❯

roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Who we're looking for: Senior experience in either a professional data science position or a quantitative … by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example … supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. A leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic More ❯

that operate in highly regulated environments, processing complex financial data and making critical business decisions. What You'll Build Advanced agentic architectures with orchestrator-managed specialized sub-agents Machine learning algorithms that increase agent autonomy and reduce human input Collaborative learning systems where agents share knowledge and improve collectively Fine-tuned models optimized for complex financial workflows Event … driven distributed systems handling sensitive data at enterprise scale The Tech Stack AI/ML : Multi-agent frameworks, fine-tuning, reinforcement learning, advanced RAG Platform : AWS serverless, event-driven architecture, microservices Languages : Python, with modern ML libraries (PyTorch, TensorFlow) What They're Looking For 5+ years developing AI/ML systems beyond basic integration Deep understanding of agent More ❯

new opportunities for growth and improvement, leveraging your existing skills while also expanding your expertise across diverse projects and technologies. What you'll be doing Develop and implement machine learning products in the cloud that improve client experiences and boosts colleague productivity in real-time. Continuously monitor, retrain, and optimise existing models to ensure optimal performance. Partner with product … and effectively. About you You have strong commercial experience in data, with a proven track record of solving complex problems and delivering tangible results. Experience building and deploying machine learning solutions in the cloud (AWS experience preferred). Strong proficiency in coding (Python) and SQL (Snowflake). Excellent stakeholder management skills, capable of building trust and fostering collaboration across … production-grade code, with a focus on scalability and reliability. Experience with large-scale data analysis, manipulation, and distributed computing platforms (e.g., Hive, Hadoop). Familiarity with advanced machine learning methods, including neural networks, reinforcement learning, and other cutting-edge Gen AI approaches. Skilled in API development and deployment, with a focus on performance and scalability. Interview More ❯

working on forward looking projects with a focus on high-impact research and early-stage prototyping. You will contribute to the early-stage exploration of technologies such as Machine Learning and AI Engineering and translate experimental code into production quality implementations in an R&D style environment. You'll be working to deliver a new suite of highly scalable … one or more compiled systems languages (e.g., C, C++, C#). Experience with scientific computing, numerical methods, or computational modelling. Familiarity with emerging and interdisciplinary technologies such as: machine learning, digital twins, agentic systems, reinforcement learning, probabilistic computing, or control systems. What you'll get in return You'll work for a technology focused company building innovative More ❯

scale software architectural patterns Experience with MLOps, automation tools, containerization (Docker, Kubernetes), and ML lifecycle management Knowledge of Rust is a plus Experience with fine-tuning GenAI models and Reinforcement Learning is a plus Customer focus and problem-solving skills 2+ years experience in large matrixed organizations Principal Duties and Responsibilities: Customer Engagement: Engage with application developers to More ❯

Lead Technologist - AI & ML ££85,000 GBP 10% bonus Hybrid WORKING Location: Chelmsford, Chelmsford, East of England - United Kingdom Type: Permanent Lead Technologist - Artificial Intelligence & Machine Learning Location: Chelmsford (2 days a week) Salary : Up to £85,000 + 10% We're looking for a Lead Technologist with deep expertise in AI/ML to drive technical excellence across … projects in defence, security, and advanced data analytics. You'll guide teams working on cutting-edge areas including reinforcement learning, LLMs, NLP, knowledge graphs, remote sensing, RF signal processing, and autonomy. Key Responsibilities: Lead complex AI/ML R&D projects and provide engineering assurance Mentor and support junior researchers and developers Shape and direct novel research in More ❯