4 of 4 Remote/Hybrid Data Science Jobs in Berkshire

helping to build a culture and legacy that will set new industry standards. In this role, you'll accelerate how teams launch and operate data products safely by embedding governance, guardrails and risk to value thinking into the heart of our platforms and processes. You'll own the operating … rhythm for data risk, define enterprise governance KPIs, and lead the narrative into senior forums, ensuring threats translate into meaningful controls. With two direct reports, you'll set direction, remove blockers and orchestrate cross department alignment, partnering closely with AI, Data Science, Privacy, Cyber, Platform ...

traditional full‐stack role. You’ll focus on scalable backend systems, event‐driven architectures, and AI‐enabled platforms , working closely with product, data science and platform teams to turn advanced AI capabilities into reliable, production‐ready systems. Your work will directly shape how clients interact with data … grow with our ambition, including: Creating scalable, distributed backend services for AI‐driven applications Building event‐driven systems that process large volumes of behavioural data in real time Developing services in Node.js/TypeScript and/or Python Designing APIs that support high‐throughput, low‐latency workloads Helping orchestrate ...

Engineer/Data Scientist – Agentic AI – £100k + Hybrid – HealthTech/Clinical Workflows Python | LLMs | RAG | AI Agents | OpenAI | Copilot | Elasticsearch | Vector DBs | Java | JavaScript | SaaS | Hybrid | Do you want to build AI features embedded directly into real clinical workflows used by hospitals, within a business actively rolling ...

following attributes: Strong experience in software development with a focus on AI/ML applications A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Artificial Intelligence, Software Engineering or similar Strong programming skills in Python and/or Java Experience working with Large Language Models (LLMs) such … services Building and integrating LLM-based solutions into existing systems Developing scalable back-end services using Python and/or Java Collaborating with data scientists and engineers to deploy machine learning models into production Experimenting with and implementing prompt engineering and fine-tuning strategies Working with APIs and cloud ...