26 to 50 of 140 Reinforcement Learning Jobs in the UK

IR35 To apply, email: jordanna.ramsey@searchability.com THE OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You’ll be part of a highly skilled R&D team building next-generation AI solutions for … world data into actionable insights. Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV … wearable/sensor data, player tracking, or sports video analytics TO BE CONSIDERED... Please apply directly by emailing jordanna.ramsey@searchability.com with your CV and availability. KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports More ❯

IR35 To apply, email: jordanna.ramsey@searchability.com THE OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You’ll be part of a highly skilled R&D team building next-generation AI solutions for … world data into actionable insights. Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV … wearable/sensor data, player tracking, or sports video analytics TO BE CONSIDERED... Please apply directly by emailing jordanna.ramsey@searchability.com with your CV and availability. KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports More ❯

at www.dar.com. Our Vision and Values: We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to: Excellence Responsibility Empowerment Connectivity Courage Role Overview We are seeking a seasoned … technical oversight for AI initiatives across domains: Generative AI & LLMs (fine-tuning, RAG pipelines, multi-agent systems). Predictive Analytics & Time-Series Modeling . Computer Vision & Multimodal AI . Reinforcement Learning & Optimization . Knowledge Engineering & Semantic Search . Edge AI & Real-Time AI Deployments . Act as the architect and reviewer of AI systems, ensuring scalability, robustness, and … class AI & Data Science team , including hiring, onboarding, and performance management . Mentor and coach team members to elevate technical depth and problem-solving skills. Create career development plans, learning paths, and certification opportunities for the team. Foster a culture of collaboration, experimentation, and continuous improvement . Collaboration & Representation Work closely with Product Managers, Solution Architects, and Engineering Leads More ❯

at www.dar.com. Our Vision and Values: We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to: Excellence Responsibility Empowerment Connectivity Courage Role Overview We are seeking a seasoned … technical oversight for AI initiatives across domains: Generative AI & LLMs (fine-tuning, RAG pipelines, multi-agent systems). Predictive Analytics & Time-Series Modeling . Computer Vision & Multimodal AI . Reinforcement Learning & Optimization . Knowledge Engineering & Semantic Search . Edge AI & Real-Time AI Deployments . Act as the architect and reviewer of AI systems, ensuring scalability, robustness, and … class AI & Data Science team , including hiring, onboarding, and performance management . Mentor and coach team members to elevate technical depth and problem-solving skills. Create career development plans, learning paths, and certification opportunities for the team. Foster a culture of collaboration, experimentation, and continuous improvement . Collaboration & Representation Work closely with Product Managers, Solution Architects, and Engineering Leads More ❯

at www.dar.com. Our Vision and Values: We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to: Excellence Responsibility Empowerment Connectivity Courage Role Overview We are seeking a seasoned … technical oversight for AI initiatives across domains: Generative AI & LLMs (fine-tuning, RAG pipelines, multi-agent systems). Predictive Analytics & Time-Series Modeling . Computer Vision & Multimodal AI . Reinforcement Learning & Optimization . Knowledge Engineering & Semantic Search . Edge AI & Real-Time AI Deployments . Act as the architect and reviewer of AI systems, ensuring scalability, robustness, and … class AI & Data Science team , including hiring, onboarding, and performance management . Mentor and coach team members to elevate technical depth and problem-solving skills. Create career development plans, learning paths, and certification opportunities for the team. Foster a culture of collaboration, experimentation, and continuous improvement . Collaboration & Representation Work closely with Product Managers, Solution Architects, and Engineering Leads More ❯

Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models … including: Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by Reinforced Learning Agents & Generative AI Data-driven digital marketing systems AI agents improving customer support Our machine learning teams own the complete delivery lifecycle from ideation to production. We work … closely with stakeholders across the business to expand the understanding and impact of machine learning and AI throughout Trainline. The Role We are looking for a Junior Machine Learning Engineer to join our team help shape the future of train travel. You will be part of a highly innovative AI and ML platform working alongside engineers, scientists and More ❯

experienced and innovative Senior Data Scientist to join our global Advanced Analytics team. This is a strategic role focused on designing, developing, and deploying cutting-edge AI and Machine Learning solutions to solve complex challenges across our banking, financial services, and fintech operations. You will be instrumental in driving revenue growth, optimizing risk management, enhancing customer experiences, and ensuring … the entire ML lifecyclefrom problem framing, data exploration, and feature engineering to model training, validation, deployment, and monitoring in production environments. Advanced Algorithm Design: Develop and implement sophisticated machine learning algorithms (e.g., Gradient Boosting, NLP, Deep Learning, Graph Analytics, Reinforcement Learning) for use cases such as fraud detection, credit scoring, algorithmic trading, customer segmentation, and sentiment … related). Technical Skills: Programming: Expert proficiency in Python (must-have) and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn). Proficiency in SQL is essential. Machine Learning: Deep, hands-on experience with a wide range of ML techniques (supervised/unsupervised learning, time-series analysis, ensemble methods). Advanced AI: Practical experience with Deep Learning More ❯

hiring a Chief Data Scientist to take things to the next level. This person will lead technical direction, guide a growing team, and remain closely involved in delivering machine learning systems that power real-world impact across the platform. Youll shape the roadmap, lead from the front, and play a key role in embedding intelligence into every aspect of … solutions focused on forecasting, optimisation, and real-time performance enhancement Build the infrastructure needed to support experimentation, training, and deployment of production-grade models Evaluate new modelling approaches including reinforcement learning, multimodal architectures, and agentic methods Work closely with Product, Engineering, and Commercial teams to ensure AI delivers measurable results Act as the internal champion for intelligence, influencing … TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning Confident working across technical and non-technical teams and communicating complex ideas clearly Motivated by impact, scalability, and helping an organisation make intelligence a core capability If More ❯

of AI/Data Science to take things to the next level. This person will lead technical direction, guide a growing team, and remain closely involved in delivering machine learning systems that power real-world impact across the platform. You’ll shape the roadmap, lead from the front, and play a key role in embedding intelligence into every aspect … solutions focused on forecasting, optimisation, and real-time performance enhancement Build the infrastructure needed to support experimentation, training, and deployment of production-grade models Evaluate new modelling approaches including reinforcement learning, multimodal architectures, and agentic methods Work closely with Product, Engineering, and Commercial teams to ensure AI delivers measurable results Act as the internal champion for intelligence, influencing … TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning Confident working across technical and non-technical teams and communicating complex ideas clearly Motivated by impact, scalability, and helping an organisation make intelligence a core capability If More ❯

of AI/Data Science to take things to the next level. This person will lead technical direction, guide a growing team, and remain closely involved in delivering machine learning systems that power real-world impact across the platform. You’ll shape the roadmap, lead from the front, and play a key role in embedding intelligence into every aspect … solutions focused on forecasting, optimisation, and real-time performance enhancement Build the infrastructure needed to support experimentation, training, and deployment of production-grade models Evaluate new modelling approaches including reinforcement learning, multimodal architectures, and agentic methods Work closely with Product, Engineering, and Commercial teams to ensure AI delivers measurable results Act as the internal champion for intelligence, influencing … TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning Confident working across technical and non-technical teams and communicating complex ideas clearly Motivated by impact, scalability, and helping an organisation make intelligence a core capability If More ❯

hiring a Chief Data Scientist to take things to the next level. This person will lead technical direction, guide a growing team, and remain closely involved in delivering machine learning systems that power real-world impact across the platform. You’ll shape the roadmap, lead from the front, and play a key role in embedding intelligence into every aspect … solutions focused on forecasting, optimisation, and real-time performance enhancement Build the infrastructure needed to support experimentation, training, and deployment of production-grade models Evaluate new modelling approaches including reinforcement learning, multimodal architectures, and agentic methods Work closely with Product, Engineering, and Commercial teams to ensure AI delivers measurable results Act as the internal champion for intelligence, influencing … TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning Confident working across technical and non-technical teams and communicating complex ideas clearly Motivated by impact, scalability, and helping an organisation make intelligence a core capability If More ❯

of AI/Data Science to take things to the next level. This person will lead technical direction, guide a growing team, and remain closely involved in delivering machine learning systems that power real-world impact across the platform. You’ll shape the roadmap, lead from the front, and play a key role in embedding intelligence into every aspect … solutions focused on forecasting, optimisation, and real-time performance enhancement Build the infrastructure needed to support experimentation, training, and deployment of production-grade models Evaluate new modelling approaches including reinforcement learning, multimodal architectures, and agentic methods Work closely with Product, Engineering, and Commercial teams to ensure AI delivers measurable results Act as the internal champion for intelligence, influencing … TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning Confident working across technical and non-technical teams and communicating complex ideas clearly Motivated by impact, scalability, and helping an organisation make intelligence a core capability If More ❯

hiring a Chief Data Scientist to take things to the next level. This person will lead technical direction, guide a growing team, and remain closely involved in delivering machine learning systems that power real-world impact across the platform. You’ll shape the roadmap, lead from the front, and play a key role in embedding intelligence into every aspect … solutions focused on forecasting, optimisation, and real-time performance enhancement Build the infrastructure needed to support experimentation, training, and deployment of production-grade models Evaluate new modelling approaches including reinforcement learning, multimodal architectures, and agentic methods Work closely with Product, Engineering, and Commercial teams to ensure AI delivers measurable results Act as the internal champion for intelligence, influencing … TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning Confident working across technical and non-technical teams and communicating complex ideas clearly Motivated by impact, scalability, and helping an organisation make intelligence a core capability If More ❯

of AI/Data Science to take things to the next level. This person will lead technical direction, guide a growing team, and remain closely involved in delivering machine learning systems that power real-world impact across the platform. You’ll shape the roadmap, lead from the front, and play a key role in embedding intelligence into every aspect … solutions focused on forecasting, optimisation, and real-time performance enhancement Build the infrastructure needed to support experimentation, training, and deployment of production-grade models Evaluate new modelling approaches including reinforcement learning, multimodal architectures, and agentic methods Work closely with Product, Engineering, and Commercial teams to ensure AI delivers measurable results Act as the internal champion for intelligence, influencing … TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning Confident working across technical and non-technical teams and communicating complex ideas clearly Motivated by impact, scalability, and helping an organisation make intelligence a core capability If More ❯

hiring a Chief Data Scientist to take things to the next level. This person will lead technical direction, guide a growing team, and remain closely involved in delivering machine learning systems that power real-world impact across the platform. You’ll shape the roadmap, lead from the front, and play a key role in embedding intelligence into every aspect … solutions focused on forecasting, optimisation, and real-time performance enhancement Build the infrastructure needed to support experimentation, training, and deployment of production-grade models Evaluate new modelling approaches including reinforcement learning, multimodal architectures, and agentic methods Work closely with Product, Engineering, and Commercial teams to ensure AI delivers measurable results Act as the internal champion for intelligence, influencing … TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning Confident working across technical and non-technical teams and communicating complex ideas clearly Motivated by impact, scalability, and helping an organisation make intelligence a core capability If More ❯

of AI/Data Science to take things to the next level. This person will lead technical direction, guide a growing team, and remain closely involved in delivering machine learning systems that power real-world impact across the platform. You’ll shape the roadmap, lead from the front, and play a key role in embedding intelligence into every aspect … solutions focused on forecasting, optimisation, and real-time performance enhancement Build the infrastructure needed to support experimentation, training, and deployment of production-grade models Evaluate new modelling approaches including reinforcement learning, multimodal architectures, and agentic methods Work closely with Product, Engineering, and Commercial teams to ensure AI delivers measurable results Act as the internal champion for intelligence, influencing … TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning Confident working across technical and non-technical teams and communicating complex ideas clearly Motivated by impact, scalability, and helping an organisation make intelligence a core capability If More ❯

hiring a Chief Data Scientist to take things to the next level. This person will lead technical direction, guide a growing team, and remain closely involved in delivering machine learning systems that power real-world impact across the platform. You’ll shape the roadmap, lead from the front, and play a key role in embedding intelligence into every aspect … solutions focused on forecasting, optimisation, and real-time performance enhancement Build the infrastructure needed to support experimentation, training, and deployment of production-grade models Evaluate new modelling approaches including reinforcement learning, multimodal architectures, and agentic methods Work closely with Product, Engineering, and Commercial teams to ensure AI delivers measurable results Act as the internal champion for intelligence, influencing … TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning Confident working across technical and non-technical teams and communicating complex ideas clearly Motivated by impact, scalability, and helping an organisation make intelligence a core capability If More ❯

AI research team and are looking for a Lead AI Technologist to help lead the team, researching and developing novel AI/ML technologies. You’ll lead projects spanning reinforcement learning, NLP, computer vision, and signal processing, while mentoring teams and shaping partnerships with academic and industry leaders. Responsibilities: Lead delivery of large-scale AI/ML projects … in engineering assurance and technical review Proposal writing experience Strong communication and mentoring skills Beneficial: Expertise in one or more of: AI/ML for imagery and remote sensing Reinforcement learning Natural Language Processing and Large Language Models Knowledge graphs and graph neural networks AI for RF, EW, radar, sonar, or acoustics Autonomy applications If you are interested More ❯

Job Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible … for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions … environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning More ❯

Job Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible … for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions … environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning More ❯

Job Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible … for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions … environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning More ❯

Job Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible … for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions … environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning More ❯

Job Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible … for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions … environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning More ❯

About the Role Are you passionate about building AI systems that can think, learn, and trade autonomously? Predictiva is looking for a Deep Learning Engineer to join our award-winning team developing next-generation AI trading platforms. You’ll work on cutting-edge models, transform research into production systems, and help redefine how machine learning interacts with global … financial markets. Key Responsibilities As a Deep Learning Engineer at Predictiva, you will: Develop and train advanced deep learning models using Python and frameworks such as PyTorch or TensorFlow. Build and deploy APIs for AI models, preferably using FastAPI, and deploy them on cloud platforms (Azure, GCP, or AWS). Integrate model training pipelines with third-party tools … visualization, and performance monitoring. Prepare and process data — including structured and unstructured time-series data — for use in ML models. Bridge the gap between research and production, translating machine learning ideas into real-world trading applications. Collaborate across teams, sharing knowledge and presenting insights to data scientists, software engineers, and financial experts. About Predictiva Predictiva is an AI FinTech More ❯

About the Role Are you passionate about building AI systems that can think, learn, and trade autonomously? Predictiva is looking for a Deep Learning Engineer to join our award-winning team developing next-generation AI trading platforms. You’ll work on cutting-edge models, transform research into production systems, and help redefine how machine learning interacts with global … financial markets. Key Responsibilities As a Deep Learning Engineer at Predictiva, you will: Develop and train advanced deep learning models using Python and frameworks such as PyTorch or TensorFlow. Build and deploy APIs for AI models, preferably using FastAPI, and deploy them on cloud platforms (Azure, GCP, or AWS). Integrate model training pipelines with third-party tools … visualization, and performance monitoring. Prepare and process data — including structured and unstructured time-series data — for use in ML models. Bridge the gap between research and production, translating machine learning ideas into real-world trading applications. Collaborate across teams, sharing knowledge and presenting insights to data scientists, software engineers, and financial experts. About Predictiva Predictiva is an AI FinTech More ❯