126 to 150 of 228 Reinforcement Learning Jobs in England

ensure best practices in modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions to improve … driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting (preferred). Understanding ...

ensure best practices in modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions to improve … driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting (preferred). Understanding ...

Ensure best practices in modelling, experimentation, and deployment.· Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets· Translate business problems into analytical frameworks and actionable solutions to improve decision making· Stakeholder engagement. … advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies)· Have experience of leading and landing successful Data Science projects ...

Ensure best practices in modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making · Stakeholder engagement. … advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading and landing successful Data Science projects ...

Ensure best practices in modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making · Stakeholder engagement. … advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading and landing successful Data Science projects ...

team productivityContribute to the entire stack, from low-level optimizations to high-level model designQualifications:Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related fieldStrong software engineering skills with a proven track record of building complex systemsExpertise in Python and experience with deep learning frameworks (PyTorch preferred)Familiarity with large-scale machine learning, particularly in the context of language modelsAbility to balance research goals with practical engineering constraintsStrong problem-solving skills and a results-oriented mindsetExcellent communication skills and ability to work in a collaborative environmentCare about the societal impacts of your ...

developing production AI/ML solutions Familiarity with agentic workflows and frameworks such as LangChain, LangGraph, Auto-GPT Deep knowledge and experience in machine learning and artificial intelligence Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Understanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience ...

Systems could take you. Role Description BAE Systems Digital Intelligence Defence Innovation and Technology has a diverse range of AI teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics. We are looking … experience of working in projects on topics such as NLP, LLM applications/approaches (e.g. Agentic AI), 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 should have existing skills in Machine ...

career at BAE Systems could take you.Role DescriptionBAE Systems Digital Intelligence Defence Innovation and Technology has a diverse range of AI teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics.We are looking … experience of working in projects on topics such as NLP, LLM applications/approaches (e.g. Agentic AI), 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 should have existing skills in Machine ...

cloud reference architectures, identity and access, data governance, privacy, and compliance. Math & Operations Research: Applied knowledge of linear/nonlinear optimization, statistical analysis, reinforcement learning, and forecasting is a plus. Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts ...

will advance research toward a safe, medically licensed agentic system for triadic care, deployed to doctors and health systems globally. Our team blends deep learning and reinforcement learning to tackle high-impact medical challenges, with a focus on safe, scalable AI for real-world health outcomes ...

Bayesian models, state space models, filtering and smoothing, computational statistics and approximate inference methods Experience with and/or knowledge of machine and statistical learning, deep neural networks, feature engineering, reinforcement learning, dynamic optimisation and optimal control Experience working with large datasets Knowledge of and interest ...

DoYou will work with our team of applied research engineers at the intersection of computer vision, gameplay agents, natural language processing, and machine learning to create state-of-the-art tools to support game developers in our ecosystem with a focus on bots (trained gameplay agents, intelligent NPCs, companions … number key areas (including moderation, security, and QA testing). You will be responsible for the design, implementation and deployment of production-ready machine learning models that can be integrated in our ecosystem.In this role, you willCreate and deliver production-ready, scalable and high-quality machine learning models ...

share your preferred working location from the following: London, UK; Zürich, Switzerland . Minimum qualifications: PhD degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. Experience with training generative models (Large Language Model (LLM), image, video). Experience of TensorFlow or ML frameworks (e.g. … designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. ...

plans, 10% employer pension contributions and an extensive structured professional development programme. Keywords Defence, EM, Electromagnetic, RF, Radio Frequency, AI, Artificial Intelligence, ML, Machine Learning, GNNs, Transformers, Autoencoders, Reinforcement Learning, Multi-Modal AI, Data Fusion, EPM, Electronic Protection Measures, ESM, Electronics Support Measures, EA, Electronics Attack, Python ...

developingand applying methods for AI assurance, helping to build confidence in thesafety, reliability and trustworthiness of AI systems. Through a combination ofpractical and theoretical learning, you will gain experience aligned with theUK's vision for trustworthy and responsible AI innovation, becoming a technicalauthority for building confidence in the trustworthy … Scientist/AI Software Developer to support the development and deployment of test and evaluation processes for artificial intelligence and machine learning solutions. This role is ideal for those with experience in developing or testing AI/ML applications and is looking to build their skillset, working closely with ...

problems at scale. Key Responsibilities Advance ML Science & Infrastructure: Carry out cutting-edge research to push the state of the art in machine learning systems, large language models (LLMs), and generative AI. Recursive Self-Improvement Focus: Design and build reinforcement learning environments, generate synthetic data, and research … publish findings and impact production systems, subject to organization policies. Role Requirements & Qualifications Minimum Qualifications: Experience: Sufficient years of hands-on experience in machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence. Core Technical Stack: Advanced proficiency in Python and hands-on experience with deep learning ...

meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances … that you care deeply about What we offer Competitive salary and VSOP options Relocation support : up to €2,500 and 4 weeks temporary accommodation Learning : €500/£450 yearly allowance Health & wellness : gym membership and mental health support (Nilo.health) Social : regular company events and monthly social allowances Enhanced parental ...

experience in a people management, supervision/team leadership role.Preferred qualifications:5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.Experience with generative AI research or applications.Experience evaluating model performance, analyzing … results, and implementing improvements.Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.Experience in developing and shipping software products rapidly.Contributions to open-source projects.In this role, you will lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses ...

people management, supervision/team leadership role. Preferred qualifications: 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. Experience with generative AI research or applications. Experience evaluating model performance, analyzing … results, and implementing improvements. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc. Experience in developing and shipping software products rapidly. Contributions to open-source projects. About the job In this role, you will lead the development and deployment of novel applications, leveraging Google ...

make a meaningful impact in the worldOur work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances ...

papers, product releases, open‐source contributions, or other artifacts. 3+ years of software engineering experience, including familiarity with Python and at least one deep learning framework. Experience using the latest coding agents, and opinions about optimal workflow. Enthusiasm for experimental organizational design. AI‐pilled: adopting agents, keen to build … scientific discipline. Contribution to a well‐cited work in AI for Science writ large (e.g., ML to predict protein structure, neural weather forecasting systems, reinforcement learning for materials discovery, or causal models for financial risk prediction). Hands‐on experience using AI agents to automate parts ...

existing product lines we have, that millions of patients use, and build out new ones at the very cutting edge of healthcare reinforcement learning and agentic AI. Your work will save countless lives. Do you want to use your medical knowledge to build something awesome? Ever feel like … hype around ‘verticalized AI’ but when our journey started in 2021, people outside of the ML community barely knew or cared about active reinforcement learning. ChatGPT didn’t exist. I remember getting frustrated and thinking... ‘don’t you get how big of a deal this is?!’ Since ...

DoAs part of our AI Engineering team, you will serve as a senior individual contributor, owning the infrastructure and delivery workflows that move machine learning from experimentation into reliable production systems. This is a high-ownership role where you will influence technical direction, architecture, developer velocity, and production stability.Own … QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience)Demonstrated experience deploying, operating, monitoring, and supporting machine learning systems in productionExperience building and owning ML pipelines, model deployment, serving, monitoring, or lifecycle infrastructureSolid programming skills in Python, plus experience with web libraries ...

move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Machine Learning Engineer to join the team and help us in crafting the high calibre games our fans have come to expect. Responsibilities Explore opportunities … build a knowledge base of research and expertise in the domain and application of ML Requirements At least 4 years of experience in Machine Learning Engineering Proficient in python Degree in a technical field such as Machine Learning, Computer Science, Mathematics, or equivalent practical experience Passionate about ...