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Recently postedFull timeTechnology

Senior Technical Solutions Engineer

Darling Moo Talent LimitedCambridge, Cambridgeshire🇬🇧United Kingdom

Why this role stands out

This hybrid role offers you the chance to leverage your technical expertise in customer-facing engagements, directly impacting client success and shaping product development within an innovative engineering organization. If you are a technically credible and collaborative individual who thrives on solving complex challenges, this is an exciting opportunity to grow your career.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationCambridge, Cambridgeshire, United Kingdom
Machine Learning

Job description

Senior Technical Solutions Engineer

Location: Cambridge, hybrid

Salary: Competitive (DOE)

Contract: Full time, permanent

We’re supporting an innovative engineering organisation in central Cambridge. This is a fantastic role for someone who enjoys combining deep technical expertise with customer-facing work as you will be leading workshops, running demos and helping engineering teams adopt new technology with confidence.

If you thrive in a collaborative, fast-moving environment where your technical insight directly shapes customer success, this could be an excellent next step.

You’ll work closely with sales, product and engineering teams to deliver demonstrations, lead technical evaluations, support onboarding and act as a trusted advisor throughout adoption.

Key Responsibilities

  • Lead pre-sales technical engagements, discovery workshops and tailored demonstrations
  • Scope and run technical evaluations, PoCs and pilot projects
  • Support customers across the engineering V-cycle in automotive, commercial vehicle, off-highway and powertrain applications
  • Deliver technical presentations, proposals and supporting collateral
  • Guide customers through onboarding, deployment and long-term adoption
  • Provide insight to internal engineering and product teams to influence future development
  • Represent the organisation at customer meetings and industry events in the UK and internationally.

Desired Background

  • Experience applying machine learning to engineering optimisation or design exploration
  • Familiarity with GT-SUITE, Simcenter or similar CAE/simulation tools
  • Degree in engineering or related discipline (Master’s preferred)
  • Experience in aerospace or automotive engineering

The Environment

You’ll join a team that values collaboration, innovation and continuous learning. It’s an inclusive, supportive environment with flexible working options and a strong focus on personal development.

How to Apply

If this sounds like the kind of role where you’d thrive, we’d love to hear from you. Apply directly or reach out to Darling Moo Talent for a warm, honest conversation about the opportunity.

A Note From Us

If you’re unsure whether you meet every requirement, please still get in touch. Great people don’t always match a checklist, and we’d be delighted to explore whether this could be the right fit for you.

Disclaimer

If we haven’t been in touch within 7 days, unfortunately you may not have been successful on this occasion. We encourage you to check our website for future roles that may be a great fit, and we’d love to hear from you again.

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