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pricing data scientist jobs in Derbyshire
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 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.
Are you an experienced Data Scientist? If so I have an exciting opportunity for you with a professional services firm based on Derby.This is a permanent position with would be on site at the Derby location, the salary available for the role is competitive.The requirements of the role are: * 5 years experience as a Data Scientist or Analytical role * Experience creating ML models * Strong...
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,...
THE OPPORTUNITY: Lead RevOps Strategist & Platform Specialist, Data Center (remote role UK or Spain) Job Summary: Iron Mountain is seeking a highly experienced, proactive, and strategic Lead RevOps Strategist & Platform Specialist to join our IMDC Global Services team in the UK or Spain (remote role). The Lead RevOps Strategist & Platform Specialist will serve as the pivotal link between our...
You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you’ll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role — you’ll ship well-engineered, production-ready systems that directly impact customers.
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...
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...
THE OPPORTUNITY: Lead RevOps Strategist & Platform Specialist, Data Center (remote role UK or Spain) Job Summary: Iron Mountain is seeking a highly experienced, proactive, and strategic Lead RevOps Strategist & Platform Specialist to join our IMDC Global Services team in the UK or Spain (remote role). The Lead RevOps Strategist & Platform Specialist will serve as the pivotal link between our...
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 design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you’ll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role — you’ll ship well-engineered, production-ready systems that directly impact customers.
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.
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 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.