AI Workflows Engineer - UK

Neuralconcept
Cambridge, United Kingdom
Hybrid

Who this role is best for

Best suited to hands-on Python engineers with a physics or engineering background working in industry-specific AI workflow development.

Best fit for

  • Candidates with Python-first development experience and a background in engineering or physics
    — “Hands-on Python engineer with strong software practices”
  • Individuals who can identify and standardize reusable components across applications
    — “Upstream reusable components to the Neural Concept platform”
  • Professionals comfortable working in hybrid setups with a focus on customer collaboration
    — “hybrid setup with up to 2 remote days/week”

Things to consider

  • The role requires a high level of collaboration with CAD/CAE specialists and customers
    — “collaborate with the Vertical Solutions Product Manager and key customers”
  • Candidates must be willing to relocate to Cambridge, UK or work in a hybrid setup
    — “Location: Cambridge (UK), or willing to relocate”

How to stand out

  • Highlight experience in building and shipping production-grade Python tools
    — “Experience building and shipping production Python tools”
  • Showcase your ability to define clean interfaces and integrate external tools
    — “comfortable integrating external tools and defining clean data/interfaces”
  • Demonstrate your engagement with customers to gather feedback and drive adoption
    — “Engage reference customers and end users to gather feedback”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • designing and delivering AI workflows
  • integrating with CAD/CAE specialists
  • identifying reusable components
  • engaging reference customers
Typical background
background in physics or engineeringhands-on Python experience

Skills & requirements

Required

Python DevelopmentSoftware PracticesPackagingTestingCICode ReviewDocumentationGitCad/cae IntegrationAI Workflows

Preferred

Industry ExposureFamiliarity With CAD And/or CAEML LibrariesAgentic AI Orchestration

About the role

Original posting from Neuralconcept via Ashby

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.

Source: Neuralconcept careers (Ashby)

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