At a Glance
- Tasks: Design and deliver AI-powered engineering workflows using Python for industry applications.
- Company: Join a leading tech company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible hours, hybrid work model, and professional growth opportunities.
- Other info: Work in a diverse, multicultural environment with top-notch engineers.
- Why this job: Make a global impact by revolutionising product design with cutting-edge AI technology.
- Qualifications: Experience in Python development and collaboration in cross-functional teams.
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 leading 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.
- Provide technical direction and architecture while remaining the primary hands-on developer for vertical workflows; comfortable integrating external tools and defining clean data/interfaces for specialists.
- Clear, concise communicator who collaborates effectively across teams.
Location: Lausanne (Switzerland) or 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 is a strong plus.
- Familiarity with ML and common libraries (scikit-learn, PyTorch, Tensorflow...) is a strong plus.
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.
AI Workflows Engineer in Cambridge employer: Neural Concept
Neural Concept is an exceptional employer, offering a dynamic and collaborative work culture that fosters innovation and professional growth. With a competitive salary and the flexibility of a hybrid working model, employees can thrive in a supportive environment while making a significant impact in the engineering sector. Join us in London to be part of a world-class technology team dedicated to revolutionising product design through advanced data science and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land AI Workflows Engineer in Cambridge
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Neural Concept or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Neural Concept.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Neural Concept.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Neural Concept that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Workflows Engineer in Cambridge
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Neural Concept.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Neural Concept and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Neural Concept
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Neural Concept uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
