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 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...
Join to apply for the Principal Data Scientist role at TieTalent 2 days ago Be among the first 25 applicants Join to apply for the Principal Data Scientist role at TieTalent Be the Data-Driven Heart of Our Transformation At Pets at Home, were more than a retailer were a pet care powerhouse, spanning retail, veterinary, grooming and subscription services. As we transform our business through...
We are recruiting for a Contract Data Scientist to start ASAP. Ideally based in Manchester and comfortable with working central US time zones. Who We Are: AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We've been helping organisations build better digital products and stronger digital teams since 2014. We believe our work...
This role is the programme’s data-driven applications engineer - sitting between Oracle APEX development, analytics engineering, and data science enablement. It focuses on delivering reporting, dashboards, lightweight applications, and analytical PoCs on top of the client’s Oracle cloud estate (ADW, OAC, Fusion, OIC). Key Responsibilities - Develop, enhance and maintain secure APEX applications...
About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM,...
Contract MLOps Engineer | MLflow | Databricks | Production ML Duration: Initially 3 months Day rate: £500 - £550, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they’re looking for a senior, hands-on Contract MLOps Engineer to help take ML...
You will report into the Head of Platform Engineering and work closely with data scientists, analysts, engineers, and design managers in a fast-paced, high-impact environment. What You’ll Be Doing - Operationalising machine learning models and ensuring they are production-ready
You will be responsible for translating complex clinical and real-world data capabilities into clear, scalable, market-ready products that directly address high-impact industry challenges. As a senior leader, you’ll work closely with data science, engineering, and commercial teams to shape solution roadmaps, support major client engagements, and help drive global adoption.
Machine Learning Engineer - Contract (Financial Services, Outside IR35) Duration: 6 months Rate: £650 - £750 per day IR35: Outside Location: UK / Remote We're seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is...
Reports to: Technology Director / Executive Sponsor Location: Remote with occasional travel to London (2 times a month) Contract: Full-time, permanent Base Salary: £70,000 – £80,000 location and experience dependent + 10% company bonus scheme and sales commission scheme Why This Role Exists Serve Legal is entering a new chapter: evolving beyond compliance auditing into AI enabled,...
You will be responsible for translating complex clinical and real-world data capabilities into clear, scalable, market-ready products that directly address high-impact industry challenges. As a senior leader, you'll work closely with data science, engineering, and commercial teams to shape solution roadmaps, support major client engagements, and help drive global adoption.
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 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.
This role is the programme's data-driven applications engineer - sitting between Oracle APEX development, analytics engineering, and data science enablement. It focuses on delivering reporting, dashboards, lightweight applications, and analytical PoCs on top of the client's Oracle cloud estate (ADW, OAC, Fusion, OIC). Key Responsibilities - Develop, enhance and maintain secure APEX applications...
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 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 Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today. 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,...