engineering scientist jobs in West Yorkshire

Job Title: Senior Data Scientist Pay of up to £75,493, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. A degree or higher in STEM ( Science, Technology, engineering, or mathematics) is essential for this role, and evidence of qualification will be requested. DWP. Digital with Purpose. Are you ready to take on a leadership role where...

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.

You will bridge the gap between complex data and commercial strategy, working directly with external stakeholders (OTAs, event platforms, hospitality providers) and internal partnership managers.

You will build scalable solutions, drive A/B testing, and deploy web applications that empower non-technical teams to make data-driven decisions.

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 have oversight of how data will flow into the data science life cycle from the wider business data warehouse. - Oversight of the automation of the data science life cycle (dataset build, training, evaluation, deployment, monitoring) when we move to production. - Automate the data science pipeline (data prep to deployment).

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...

Overview At Element Digital Engineering, we don’t just solve problems, we engineer smart, practical solutions that shape industries. As part of the global Element Materials Technology group, we combine advanced simulation and consultancy with world-class testing, inspection, and certification expertise. From nuclear and aerospace to energy and defence, our work spans sectors and scales. One day...

You will work alongside experienced engineers, data scientists and subject matter experts on programmes covering modelling and simulation, autonomous systems, synthetic environments and digital twins.

You will stay close to the code while contributing ideas, shaping solutions and engaging directly with 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 right at the core of our R&D team, taking novel models from a whiteboard concept to a production-ready tool that empowers scientists to discover new drugs and engineer next-generation materials. If you crave ownership and want to build technology that actually accelerates scientific discovery, this is your home.

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.

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 oversight of how data will flow into the data science life cycle from the wider business data warehouse. - Oversight of the automation of the data science life cycle (dataset build, training, evaluation, deployment, monitoring) when we move to production. - Automate the data science pipeline (data prep to deployment).

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 bridge the gap between complex data and commercial strategy, working directly with external stakeholders (OTAs, event platforms, hospitality providers) and internal partnership managers.

You will build scalable solutions, drive A/B testing, and deploy web applications that empower non-technical teams to make data-driven decisions.

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.

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 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.