engineering research scientist jobs in York

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.

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.

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,...

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 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).

About Native Native is a VC backed AI startup building the world’s most accurate AI for databases reasoning. This is hard. This is an unsolved problem that once solved will change how every enterprise operates. We recently published our results, achieving rank 1 on the industry standard benchmark. Our research team is based in London. Everyone has high agency, obsessed with the problem we...

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.

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,...

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...

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...

The ideal candidate will be responsible for managing and inspiring his or her team to achieve their performance metrics. Your role will involve strategizing, project management, part staff management. Your collaborative attitude and interpersonal skills will help you thrive as an Engineering Manager. Responsibilities - Manage, coach, and support engineering team - Create a technical strategy...

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,...

Machine Learning Engineer Fully Remote - UK based Up to £90,000 + Benefits About the Role We are working with a fully remote gaming and entertainment business that is scaling its data and machine-learning capabilities. With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems across...

Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. This role owns the AI roadmap end-to-end: from identifying high-impact use cases, to running rapid...

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 support the assessment and development of new technologies emerging from defence and security research. Working alongside experienced colleagues, you’ll help evaluate market opportunities, prepare commercial documentation and support licensing and early spin-out activities.

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.

Responsibilities Apply the data science product lifecycle principles to new projects (Design, exploratory data analysis, building, evaluation, deployment, monitoring and maintenance) Contribute to developing production data science models, monitoring their performance, and managing their lifecycle (retraining, optimising and upgrading) Work on the end to end data solution including...

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