You will design and build the systems that identify the signals that matter most for visibility, the retrieval and embedding architecture that feeds the models, the ranking and scoring framework that prioritises actions and the evaluation layer that measures how different LLMs behave across queries, surfaces and contexts.
You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment.
You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform.
Data Scientist - £70k | Remote / Hybrid | FinTech / Payments We’re working with an established FinTech / Payments business that has been helping customers manage and move money globally for many years. The company builds technology-led products that support low-cost, multi-currency payments and money management, operating across several regulated markets. They’re now investing further in their...
You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making. This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment.
You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.
Company description Location: Basingstoke (hybrid working 3 office days per week) Employment Type: Permanent, full time Additional Benefits: Annual Bonus Think the AA is just about roadside assistance? Think again. For over a century, we've been evolving and adapting. Today, as the nation's leading motoring organisation, we offer a wide range of products and services to millions of customers....
Job Description A fantastic opportunity for a Data Scientist, proficient in Python and C++ to join the market leaders in clean marine technology. Reporting to: Head of Innovation, Research & Development. Working closely with the Digital team. Location: London HQ Office (Marylebone) OR Southampton (Chandlers Ford) Office. As a Data Scientist you will be responsible for a portfolio of...
You will operate as a senior individual contributor, with end-to-end ownership of data-driven research systems that directly inform research and decision-making.
You will collaborate with data, AI and business experts to support data-led decisions, impacting the entire organization. Our data & AI journey is entering an exciting new stage, and you can help shape its future.
You will assist colleagues in setting strategy for activities using data & AI, informing on the art-of-the-possible and best-practice.
You will be hands on with the development while leading a small yet highly capable team of data scientists/engineers which will suport you.
Do you want to build data science solutions that improve lives, not clicks? Would you thrive working directly with healthcare and public sector clients on the front lines of care delivery? Are you looking for impact-led projects where you own delivery end-to-end? A leading UK consultancy is scaling its AI & Data Science team to drive measurable outcomes in the healthcare and public sectors....
Sub System Lead Engineer - Basingstoke Reference Code: -en_GBContract Type: PermanentProfessional Communities: Products & Systems Engineering At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots,...
Job Description C++ Software Engineer Portsdown West (PO17) Full-time Onsite - Salary £50,000 - £65,000 - 25 days annual leave inclusive of up to 3 days Christmas shut-down - Buy or sell up to 5 days annual leave - Annual Wellbeing allowance - Two pension schemes to choose from - Private Medical Insurance + discounts for additional family members - Life Assurance scheme up to 4 x salary - Share...
You will have the opportunity to: - Bring experience in sales, business development, health, coaching or leadership — or simply be willing to learn - Recommend pharma-grade, science-backed products - Earn commission + global income streams through product referrals & international team building
Lead Technical Architect / NLP Engineer (Natural language processing) Interviewing immediately for NLP experts with a background in either data science or data engineering for a lead / senior position near Fleet within a ground breaking Fintech company which works with the latest technologies and has a strong emphasis on innovation and employing only the best of the best. This role will be a...
You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment.
You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform.
Data Scientist - £70k | Remote / Hybrid | FinTech / Payments We’re working with an established FinTech / Payments business that has been helping customers manage and move money globally for many years. The company builds technology-led products that support low-cost, multi-currency payments and money management, operating across several regulated markets. They’re now investing further in their...
You will design and build the systems that identify the signals that matter most for visibility, the retrieval and embedding architecture that feeds the models, the ranking and scoring framework that prioritises actions and the evaluation layer that measures how different LLMs behave across queries, surfaces and contexts.
You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.
You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making. This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment.