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AI Workflows Engineer - UK

Backend Full-time Cambridge, UK; hybrid with up to 2 remote days per week

Job details

Not specified Salary
Cambridge, UK; hybrid with up to 2 remote days per week Eligibility
Lead Experience
Full-time Employment

About this role

Role overview Design and deliver Python-first software workflows that apply AI to engineering problems in a specific industry area. As the primary developer, you will work with a product manager, customers, and CAD and CAE specialists to connect design, simulation, and machine learning processes. You will also help turn solutions from active projects into reusable components and practices.

Responsibilities - Lead the design and delivery of AI-enabled engineering workflows, with an eye toward adoption across multiple applications. - Develop and integrate the workflows in Python, defining clear interfaces with CAD and CAE specialists. - Own the software lifecycle, including implementation, tests, continuous integration, packaging, and releases. - Identify recurring needs in project work and convert them into reusable templates, presets, and guidance. - Gather feedback from reference customers and end users, and support adoption. - Contribute to documentation, playbooks, and practical training sessions.

Requirements - Experience building and shipping production Python tools in fast-moving, cross-functional teams. - Strong Python software practices, including packaging, pytest, CI, code review, documentation, and git. - Ability to contribute to architecture and technical direction while remaining hands-on in development. - Experience integrating external tools and defining clear data structures and interfaces for specialist collaborators. - Background in physics or engineering, or equivalent experience. - Clear communication and effective cross-team collaboration.

Nice to have - Exposure to automotive, aerospace, energy, or other product design processes. - Familiarity with CAD or CAE, machine learning libraries such as scikit-learn or PyTorch, or agent orchestration.

Benefits and work setup - Cambridge, UK, or relocation; hybrid arrangement with up to two remote days per week and flexible hours. - Collaborative team, professional development, and the opportunity to support AI-assisted engineering.

Skills detected in the listing

PythonMachine Learning
Detected Nov 6, 2026
Last verified Nov 12, 2026

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