7 of 7 Remote/Hybrid Reinforcement Learning Jobs in the UK

permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models … build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. ...

Hybrid): 2 days from office Number of Positions: 4 The Role An AI/ML Developer is responsible for designing, building, and deploying machine learning models and AI solutions that solve business problems. This role focuses on coding, data preparation, and integrating models into production systems. Your Responsibilities … Model Development Design, build, and train machine learning models for predictive analytics, classification, NLP, computer vision, or other AI applications. Experiment with algorithms and optimize hyperparameters for performance. Data Preparation Collect, clean, and preprocess large datasets for training and validation. Implement feature engineering and data augmentation techniques. Integration & Deployment ...

Responsibilities End-to-End Delivery: Lead the technical execution of AI projects, from initial problem discovery and hypothesis testing to deploying production-grade machine learning models. Strategic Advisory: Act as a "translator" between technical complexity and business value. You will work closely with C-suite stakeholders to identify … solve their most pressing strategic challenges. Technical Leadership: Architect robust, scalable data pipelines and state-of-the-art models (including LLMs, Reinforcement Learning, or Bayesian Inference) tailored to specific client needs. Mentorship: Guide and upskill junior Data Scientists, fostering a culture of rigorous peer review, clean coding standards ...

iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain. Contribute across the tech stack: You’ll work in React (JavaScript/TypeScript … against important business goals that help the entire team win Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for: We’re a great bunch but we have some "Euph" cultural ...

Title: AI Architect (Wealth) Job Description This position is pivotal in designing AI and Machine Learning solutions on cloud-based platforms, exploring emerging AI trends, developing proof-of-concepts, and collaborating with internal and external ecosystems to advance these concepts to production. The role demands expertise in designing … least 6-10 years of hands-on development and architectural experience. Proficiency in Python, PyTorch, TensorFlow, or similar frameworks. experience with supervised, unsupervised, and reinforcement learning. Solid grounding in Natural Language Processing (NLP) concepts such as tokenisation, embeddings, semantic search, text classification, and summarisation. Strong understanding of Large Language ...

path toward deployment and commercial relevance. Initial focus areas include: Agentic AI systems Energy systems flexibility Creative industries applications Emerging work across generative AI, reinforcement learning, neuro-symbolic AI, verifiable AI, and MCP-style architectures You will work closely with academic partners, industry collaborators, and funding bodies, translating ...

vector search technology. Collaborate with cross-functional teams to integrate AI models into products. Stay updated with the latest advancements in AI and machine learning technologies. Conduct research to improve existing AI systems and develop new approaches. Knowledge of NLP, computer vision, or reinforcement learning. Experience deploying … models in production environments. Your Profile Essential Skills/Knowledge/Experience Proven experience in AI, machine learning, or deep learning. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks like TensorFlow, PyTorch, or Keras. Experience with large language models (GPT, BERT, etc.). ...