AI Workflows Engineer - UK
Neural Concept is hiring an AI Workflows Engineer - UK in Cambridge, United Kingdom. Level rates it ; you can apply on Neural Concept.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting allows some remote work.
- Tools and skills the posting cites include PyTorch, TensorFlow and scikit-learn.
- Level lists 35 other open roles at Neural Concept.
AI in this role
About the role
Neural Concept's Vertical Solutions team turns the most common engineering use cases into streamlined, production-grade workflows empowered by leading AI technologies.
As an AI Workflows Engineer, you will own the design and delivery of AI-powered, Python-first engineering solutions for a specific industry application. You will collaborate with the Vertical Solutions Product Manager and key customers to define the roadmap and build workflows that integrate design, simulation, and machine learning—helping to shorten product development cycles and amplify impact.
As the primary developer, you will work closely with CAD and CAE specialists to implement, maintain, and evolve these solutions. You will also identify reusable components that can be integrated into the Neural Concept platform, ensuring consistency, driving innovation, and accelerating adoption across applications.
What you will do
Lead the design and delivery of AI-powered engineering workflows for specific industry applications and integrate them into the Neural Concept platform for scalable adoption.
Build & integrate: act as primary Python developer — define clean interfaces with CAD/CAE specialists; own coding, testing, CI, packaging, and releases
Upstream reusable components to the Neural Concept platform.
Standardize: stay close to active projects; spot recurring pain points and patterns, and turn them into reusable templates, presets, and best practices.
Engage reference customers and end users to gather feedback, and drive adoption.
Help define and review documentation, playbooks and hands-on training sessions.
Who you are
Must have:
Experience building and shipping production Python tools in fast-moving, cross-functional teams.
Hands-on Python engineer with strong software practices: packaging, testing (pytest), CI, code review, docs, and git.
Contribute to technical direction and architecture while acting as a hands-on developer for vertical workflows; comfortable integrating external tools and defining clean data/interfaces for specialists.
Background in physics or engineering, or equivalent experience.
Clear, concise communicator who collaborates effectively across teams.
Location: Cambridge (UK), or willing to relocate; hybrid setup with up to 2 remote days/week.
Nice to have:
Industry exposure (e.g., automotive, aerospace, energy) and familiarity with product design processes is a strong plus.
Familiarity with CAD and/or CAE
Familiarity with ML and common libraries (scikit-learn, PyTorch, Tensorflow...)
Experience with agentic AI orchestration
What You Get
Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence.
Benefit from a competitive salary and rewarding opportunities as we continue to scale.
Thrive in a collaborative, multicultural environment where your work is visible and recognized.
Develop professionally alongside talented colleagues who share knowledge freely and support one another.
Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.
Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules.
We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.
How we rate this
AI Workflows Engineer - UK at Neural Concept rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used PyTorch hands-on?
- Walk me through how you've used TensorFlow in your day-to-day work.
- What are the limits of scikit-learn that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: PyTorch, TensorFlow, and scikit-learn. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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