Solution Engineer - UK in London

Solution Engineer - UK in London

London Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
Neural Concept

At a Glance

  • Tasks: Connect engineering challenges to AI solutions and drive impactful client relationships.
  • Company: Join Neural Concept, a leader in Engineering AI transforming industries.
  • Benefits: Competitive salary, hybrid work model, and professional growth opportunities.
  • Other info: Collaborative culture with a focus on innovation and diversity.
  • Why this job: Be part of a team revolutionising engineering with AI and making a global impact.
  • Qualifications: Engineering degree and experience in client-facing roles required.

The predicted salary is between 63000 - 77000 £ per year.

About Neural Concept

Engineering is at an inflection point. The teams defining the next generation of aircraft, electric vehicles, and consumer products are not just designing faster. They are designing fundamentally differently, with AI embedded at the core of their workflows. Neural Concept builds the Engineering AI platform that makes this possible. We help the world's leading engineering teams accelerate development, improve product outcomes, and scale engineering capacity, turning months of simulation into days and engineering intuition into data-driven insight. We work with elite engineering teams in Automotive, Aerospace, High-Tech and Electronics, and advanced manufacturing, where the stakes are high, the complexity is rising, and the pressure to innovate has never been greater. We are changing how engineers work. Come build that future with us.

About The Role

As a Solution Engineer, you sit at the intersection of engineering credibility and strategic influence. You are the person in the room who can connect a VP's business challenge to a concrete, well-scoped AI solution, and who knows Neural Concept's platform and roadmap well enough to make that connection land with confidence. This is not a purely technical role, and it is not a pure sales role. You are a trusted advisor: someone who earns credibility through engineering background and product depth, and who builds long-term account relationships by consistently framing the right problems and the right solutions at the right moment. You drive the full pre-sales motion, from discovery to demo to signed Statement of Work, and you remain the account's technical compass through the client lifecycle, identifying and shaping expansion opportunities.

What You Will Do

  • Position NC as a long-term strategic partner and trusted engineering advisor across engineering teams, managers, and VPs.
  • Lead structured discovery sessions to identify where NC creates the most impact, framing use cases that are technically feasible and commercially grounded.
  • Define the AI strategy and technical roadmap for each account, translating NC's capabilities and product direction into a multi-horizon vision.
  • Create and deliver compelling, client-tailored demos and presentations grounded in the client's engineering workflows, technically credible and aligned with the vision.
  • Create and co-own the Statement of Work, with deep understanding of the technical building blocks and how these transform the client's existing workflows.
  • Prepare and run Steering Committees, connecting engineering challenges to strategic outcomes.
  • Drive user adoption and engagement across technical users, managers, and designers, ensuring NC is embedded in daily workflows and engineering champions emerge.
  • Identify upsell and expansion opportunities from account knowledge and commercial signals, and shape them into well-scoped proposals.
  • Collaborate with the Sales team to advance and close deals, with the Forward Deployed Engineering team to ensure smooth pre-sales to delivery transitions, and surface client insights to Product and R&D to inform roadmap priorities.

Who You Are

  • You hold an engineering degree (mechanical, aerospace, automotive, industrial, or similar) and have a solid understanding of CAD and CAE workflows, including where bottlenecks lie and what it takes to transform those workflows with AI.
  • You are naturally curious and people-driven. You earn trust through genuine interest in client challenges and make engineers and executives feel understood.
  • You are proactive and commercially driven. You move accounts forward without being asked, spot opportunities early, and bring structure to ambiguous situations.
  • You are a confident challenger. You ask uncomfortable questions, reframe assumptions, and guide clients toward better outcomes even when it requires pushing back.
  • You are an outstanding communicator: you own executive conversations, drive narrative with clarity, and connect engineering problems to strategic outcomes.
  • You understand AI and machine learning applied to engineering at a conceptual level, and are comfortable creating demos and prototypes using AI-assisted tools with working knowledge of Python and modern development practices.
  • You have experience in a client-facing role: pre-sales, solutions consulting, technical account management, or engineering consulting.
  • Professional fluency in English.

What Will Set You Apart

  • You have deep, hands-on simulation experience: full pipelines from CAD to post-processing, solver experience, and workflow automation.
  • You are a strong programmer: you write clean Python, build data pipelines, and are comfortable in ML/DL frameworks including model training, evaluation, and deployment.
  • You can go deep in technical discovery: dive into customer toolchains, data environments, and simulation setups to assess feasibility at the level a simulation engineer would respect.
  • You can build end-to-end engineering workflow demos from scratch, rapidly prototyping the full arc from design generation and simulation to data pipelines, model training, and application deployment using agentic development tools.

Nice-to-Have

  • Strategic or technical consulting background, executing digital transformations.
  • Previous experience working in engineering software companies or using engineering software tools (e.g., Ansys, Altair, Siemens, Dassault Systèmes, or Autodesk).
  • Background in ML/DL research or development in an engineering context.
  • Experience automating CAE workflows (scripting, batch processing, surrogate model pipelines).

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.

Where You Will Be

Based in the UK (Midlands preferred, with flexibility). 30% travel required (UK & EMEA).

We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

Solution Engineer - UK in London 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.

Neural Concept

Contact Details:

Neural Concept Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Solution Engineer - UK in London

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 Solution Engineer - UK in London

Engineering Degree (Mechanical, Aerospace, Automotive, Industrial)
CAD and CAE Workflows
AI and Machine Learning Understanding
Python Programming
Client-Facing Experience
Technical Account Management
Pre-Sales Solutions Consulting

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.