13 of 13 Permanent Reinforcement Learning Jobs in the South East

Data Science and Machine Learning Research Scientist Location: Chelmsford | Hybrid (2 days onsite) | Salary ~£70,000 + 10% bonus | SC Clearable A specialist technology consultancy is seeking a Data Science and Machine Learning Research Scientist to develop novel AI/ML solutions for complex, real-world challenges in national security and defence. Working within a mission-led, multidisciplinary … youll help shape next-generation tools across areas such as multi-modal fusion, geospatial intelligence, and intelligent decision support. About the Opportunity Youll join a 35+ person AI & Machine Learning capability, collaborating across disciplines including computer vision, NLP, knowledge representation, and reinforcement learning. This hands-on role focuses on applied research and technical deliveryspanning early-stage concept exploration … to proof-of-concept demonstrators for government R&D sponsors. The team operates at the intersection of data science, autonomy, cyber, and complex systemsblending statistical, symbolic, and machine learning approaches to address high-impact use cases. Key Responsibilities Conduct applied research in data science and machine learning, with a focus on real-world decision-making applications Design, implement More ❯

Senior Research Scientist (Data Science & ML) £60,000 - 70,000 GBP Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Data Science and Machine Learning Research Scientist Location: Chelmsford | Hybrid (2 days onsite) | Salary ~£70,000 + 10% bonus | SC Clearable A specialist technology consultancy is seeking a Data Science and Machine Learning Research Scientist to … help shape next-generation tools across areas such as multi-modal fusion, geospatial intelligence, and intelligent decision support. About the Opportunity You'll join a 35+ person AI & Machine Learning capability, collaborating across disciplines including computer vision, NLP, knowledge representation, and reinforcement learning. This hands-on role focuses on applied research and technical delivery-spanning early-stage concept … to proof-of-concept demonstrators for government R&D sponsors. The team operates at the intersection of data science, autonomy, cyber, and complex systems-blending statistical, symbolic, and machine learning approaches to address high-impact use cases. Key Responsibilities Conduct applied research in data science and machine learning, with a focus on real-world decision-making applications Design 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 ❯

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 ❯

/ML research and development projects Providing engineering assurance across bids, publications, and technical deliverables Mentoring and developing junior scientists and engineers Identifying and guiding novel research directions in reinforcement learning, NLP, RF, autonomy, and more Working closely with customers and stakeholders across defence, security, and commercial sectors What we're looking for: PhD (or equivalent experience) in … a relevant AI/ML discipline 10+ years of experience in AI/ML, ideally in defence or applied research Deep knowledge of modern machine learning, statistics, and computational modelling Experience leading teams and performing technical assurance across large R&D projects Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, scikit-learn Expertise in one or more … of: computer vision, reinforcement learning, NLP/LLMs, knowledge graphs, RF/EO sensor data, autonomy Please note: Due to the nature of the work, candidates must be eligible for UK Security Clearance, which typically requires at least 5 years of continuous UK residency. Package: £70,000 - £85,000 base 10% bonus Pension Medical cover To hear more More ❯

tackling some of the most complex data science problems across defence, security, and commercial sectors. You'll be part of a collaborative, cross-disciplinary environment, working alongside experts in reinforcement learning, NLP, knowledge graphs, and AI for RF and EW. As an AI Knowledge & Semantics Researcher, you'll have the freedom to innovate, lead projects, and develop cutting … edge solutions applying large language models (LLMs), graph machine learning, and semantic reasoning to real-world challenges. This is a perfect fit for someone with a passion for applied AI, who thrives in an environment that blends technical depth with real-world impact. Role Requirements: Lead research and development in NLP, knowledge graphs, and LLM-based applications. Guide a More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. We … are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale … RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities 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 ❯

Lead Technologist - Artificial Intelligence & ML £85,000 GBP Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Lead AI & Machine Learning Technologist Location: Great Baddow | Hybrid (2 days onsite) | Salary up to £85,000 + 10% bonus | SC Clearable A leading defence technology organisation is seeking a Lead AI & Machine Learning Technologist to join their expanding … Data and Decision Support capability. This role offers the opportunity to lead complex AI research projects spanning reinforcement learning, NLP and large language models, knowledge graphs, and AI applications in radar, sonar, and remote sensing. About the Opportunity The successful candidate will work within a 35-strong AI/ML team comprising approximately 25 scientists and 10 product … novel research opportunities, fostering collaborations with academic and industry partners Contribute to high-profile research proposals (e.g., Dstl, EPSRC, NS) About You PhD in a relevant field (AI, Machine Learning, Computer Science, Mathematics or related discipline) Around 10+ years' experience in AI/ML research and development in industry or academia, preferably within the defence sector Proven leadership experience More ❯

AI is used appropriately for their problems and collaborate with the UK, European and International research ecosystems. You will provide specific leadership for AI R&D and innovation for reinforcement learning. With our ambition to develop and expand the team, will we expect you to identify new talent and partnering opportunities with industry and academia. The role is also … to mental wellbeing app Employee discount shopping schemes on major brands and retailers Development focused targets and relocation support can be provided if required along with a variety of learning, development and career enhancement opportunities. Thales is an equal opportunities employer and diversity and inclusion are integral to the success of Thales. In line with Thales' Baseline Security requirements More ❯

Lead Technologist - AI & Machine Learning £85,000 GBP + Bonus Onsite WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Job Title: Lead Technologist - AI & Machine Learning Chelmsford (Hybrid) Up tp £85k + Bonus We are seeking a highly skilled and experienced Lead Technologist to join a growing Data and Decision Support capability, working on cutting-edge … space, and commercial domains. This role offers a blend of technical leadership, research direction, and hands-on assurance responsibilities, with opportunities to shape innovation in areas such as NLP, reinforcement learning, computer vision, graph neural networks, and sensor-based AI systems. Key Responsibilities: Lead the technical delivery of complex AI/ML projects, overseeing the preparation and review … innovation bodies, or academic institutions). Deep expertise in at least one of the following, with working knowledge across multiple areas: AI/ML for imagery (including remote sensing) Reinforcement learning Natural Language Processing and Large Language Models Knowledge graphs and graph-based neural networks AI/ML applied to RF, EW, radar, sonar, or acoustic signal processing 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 ❯

who can provide technical leadership across a portfolio of advanced R&D programmes. You will guide both internal delivery and external engagement in domains including NLP, LLMs, computer vision, reinforcement learning, and AI for sensor applications. The role blends hands-on innovation with assurance, mentoring, and proposal direction. Key Requirements: PhD in a relevant field with 10+ years More ❯