4 of 4 Remote/Hybrid Reinforcement Learning Jobs in England

client, a leading technology and engineering company within the Defence & Security sector, is currently seeking an experienced AI/Machine Learning Engineer to join their team on a permanent basis. Key Responsibilities: Delivering novel AI/ML solutions to technically complex or novel research problems Leading teams of engineers … across small research projects and larger multi-disciplinary development programmes Providing technical expertise in AI/ML disciplines, including Computer Vision, Reinforcement Learning, LLMs, and NLP Conceiving novel applications of AI/ML techniques and adapting academic research Developing and leading agile teams through complex software engineering tasks ...

complex and unique challenges. You will be an experienced researcher or developer with a strong interest in state-of-the-art AI and Machine Learning technologies. The AI/ML Engineer is responsible for delivering novel solutions to our customers challenging problems (Technically Complex or Novel Research), leading teams … programmes. You'll be primarily "hands on" and actively providing technical expertise across a broad range of AI/ML disciplines, including Computer Vision, Reinforcement Learning, LLMs and NLP. Due to the sector you will need to be eligible for SC Clearance. The Key Requirements Proven experience ...

preprocessing to ensure high-quality inputs for ML models. Model Development: Select and train appropriate architectures (BERT, GPT, etc.) using supervised, unsupervised, or reinforcement learning strategies. Prompt Engineering: Design, test, and iterate on complex prompts to elicit high-quality responses from LLMs while mitigating unintended behaviors. Evaluation & Optimization … establish automated monitoring systems to track drift and performance. Technical Requirements Core AI/ML: Strong experience in ML algorithms, LLM architectures, and deep learning frameworks. Generative AI: Proven expertise in Prompt Engineering and fine-tuning pre-trained models. Engineering: Proficiency in Python and experience designing data pipelines ...

publications role. It is a role for someone who wants to do serious science and see it matter. WHAT YOU BRING PhD in Machine Learning from a leading research institution 7+ years leading applied AI research teams in a commercial environment with access to large-scale, unique data Deep … expertise in at least two of: LLMs and foundation models (pretraining, fine-tuning, distillation), physics-informed neural networks, or reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline ...