engineering research scientist jobs in Derbyshire

You will help shape how devices are assessed and qualified for use in space, drawing on existing data, modelling, and targeted testing where appropriate. - This role suits a physicist or engineer with research experience and strong technical writing skills, who wants to move into applied space work.

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 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 have built an optimization model using MILPs, heuristics, decomposition, or other methods (big focus on linear optimization, not so much on non-linear). In terms of skills you should have strong working experience with optimization solvers (e.g. Gurobi, Cplex, FICO Xpress optimization or other).

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.

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...

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...

Machine Learning Engineer - Contract (Financial Services, Outside IR35) Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application. 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...

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...

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 have built an optimization model using MILPs, heuristics, decomposition, or other methods (big focus on linear optimization, not so much on non-linear). In terms of skills you should have strong working experience with optimization solvers (e.g. Gurobi, Cplex, FICO Xpress optimization or other).

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.

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 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 help shape how devices are assessed and qualified for use in space, drawing on existing data, modelling, and targeted testing where appropriate. - This role suits a physicist or engineer with research experience and strong technical writing skills, who wants to move into applied space work.

You will have built an optimization model using MILPs, heuristics, decomposition, or other methods (big focus on linear optimization, not so much on non-linear).