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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Humara - **Location:** Brighton and Hove, UK - **Experience:** Expert - **Salary:** £75,000.0 - £90,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Software Quality, Data Governance, Python (Programming Language), Machine Learning, Performance Tuning, Search Technologies, Reinforcement Learning, Pytorch, Large Language Models, Multi-Agent Systems, Scikit Learn, Machine Learning Operations, Virtual Agents, Data Pipelines, Docker, Unsupervised Learning - **Published:** September 25, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5898090253 ## About the Role Strong ML experience, hands-on NLP and production experience with agentic AI are essential. Our stack includes AWS, Python, PyTorch, Docker, LangChain/LangGraph and Langfuse. Experience with reinforcement learning or an understanding of sales psychology would be desirable plus there's plenty of ambitious work now and upcoming., * Extensive experience in data science and ML, including hands-on delivery of LLM-powered and agentic systems running in production at scale * Works AI-natively day to day, using AI tools and agents as a core part of how they build, test and ship * Strong Python, plus PyTorch, scikit-learn or similar frameworks * Hands-on LLM work: prompting, fine-tuning, grounding and guardrails * Agentic systems at scale, including orchestration (LangChain/LangGraph), tracing and evals (Langfuse), memory design, and latency and cost trade-offs * Embeddings, vector search and hybrid search * Solid grounding in statistics and ML theory across supervised and unsupervised learning, NLP (entities, intent), recommendation, prediction and uplift modelling * Full model lifecycle and MLOps: containerisation (Docker/ECR) and deployment on AWS * Working with large text datasets and data pipelines * Nice to have: sales psychology applied in data products Please note that this is a hybrid role and will require regular travel to our Brighton office. ## Description * Enjoys tackling hard, open-ended problems and seeing the solution through to real users * Has a get-things-done mindset and takes work from idea to delivery * Keeps learning and stays current in a fast-moving field * Practical and collaborative: argues a position with conviction, and changes it when the evidence says so * Explains technical ideas clearly to engineers and commercial teams alike * Works independently and manages their own time and priorities well You'll be responsible for * Designing, building and shipping LLM and agent-based systems, from first prototype to live product * Building retrieval pipelines (RAG, ranking, recommendation, summarisation, grounded Q&A) * Training, fine-tuning and optimising models, mainly for language tasks * Defining how we measure success, through offline evals, experiments and production monitoring tied to user and commercial outcomes * Keeping systems dependable, with automated testing, observability, troubleshooting and incident response * Setting the bar for code quality, security, data governance and documentation * Working closely with engineering, data and product teams, and mentoring others ## Related Videos - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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