Mechanical Systems Engineer

Lawrence Harvey
Oxford
3 weeks ago
Create job alert

Are you passionate about creating mechanical solutions that bring complex robotics and lab automation projects to life?

If you thrive in fast-paced, experimental environments, enjoy tackling challenging design problems, and want to see your ideas turned into real-world systems, this could be the role for you.

Step into a role where your mechanical engineering expertise directly shapes next-generation robotic and automation systems. You’ll design and integrate precision mechanisms, end-effectors, and motion assemblies, helping transform cutting-edge AI research into functional, real-world systems.

You’ll be in a multidisciplinary team of mechanical, electrical, software, robotics, and AI engineers, you’ll build practical systems that bridge research concepts and hands-on automation.

What You’ll Be Doing:

  • Design and develop mechanical systems for robotics and automation, including custom tooling, end-effectors, and motion assemblies.
  • Lead concept design and option evaluation, capturing requirements and delivering robust engineering solutions.
  • Create detailed 3D CAD models and engineering drawings, ensuring manufacturability, precision, and quality.
  • Run simulations and analyses (FEA, kinematics, motion studies) to validate and optimise designs.
  • Work closely with electrical, robotics, and software engineers to integrate sensors, actuators, and control systems and collaborate with technicians and external manufacturers to realise designs efficiently and cost-effectively.
  • Support prototype assembly, system commissioning, and iterative design improvements.
  • Consider structural, ergonomic, and environmental factors in system layouts.
  • Contribute to best practices for design reviews, simulation, and CAD workflow management.

What We’re Looking For:

  • Degree or equivalent experience in Mechanical, Mechatronic, or Robotics Engineering.
  • Strong 3D CAD skills, including assemblies, tolerancing, and design for manufacture.
  • Proven experience designing precision mechanical assemblies, robotic tooling, or automation systems.
  • Experience in engineering simulation tools (e.g., FEA, motion or kinematics analysis).
  • Skilled in requirements capture, concept evaluation, and verification within an R&D context.
  • Knowledge of DFM/DFA principles and experience working with fabricators or suppliers.

Nice to Have:

  • Experience with robotic systems integration and custom end-effectors.
  • Hands-on prototyping experience using 3D printing, CNC, or external manufacturers.
  • Knowledge of engineering standards and regulatory frameworks (e.g., CE marking, Machinery Directive).
  • Familiarity with agile or iterative development environments and rapid prototyping.
  • Experience designing for laboratory or cleanroom environments.

Offices and Lab located in Oxford.

Hybrid working c.3 days in office

Competitive salary + benefits dependent on experience.

Ready to help build the next generation of intelligent robots? Apply now and join a fast-moving team shaping the future of applied robotics and AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Mechanical Systems Engineer / Architect

Mechanical Systems Engineer (Rotating Equipment)

Mechanical Systems Engineer

Mechanical Systems Engineer

Mechanical Systems Engineer / Architect

Mechanical Systems Engineer (Rotating Equipment)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Edge Computing Tools Do You Need to Know to Get an Edge Computing Job?

If you’re trying to start or grow a career in edge computing, it can feel like you’re navigating a maze of tools, frameworks and platforms — Kubernetes, Docker, IoT frameworks, AWS Greengrass, Azure IoT Edge, OpenShift, TinyML toolkits, networking orchestration, real-time streaming frameworks, and on it goes. Scroll job boards and community forums and it’s easy to conclude that unless you master every buzzword imaginable, you’ll never get a job. Here’s the honest truth most edge computing hiring managers won’t necessarily say out loud: 👉 They don’t hire you because you know every edge computing tool — they hire you because you can solve real system problems using the tools you know. Tools matter, yes — but only when they support clear outcomes: reliable systems, performance at scale, secure edge deployments and real business value. So how many edge computing tools do you actually need to know to secure a job? For most edge computing roles, the answer is fewer than you think — and a lot clearer when sorted by fundamentals and roles. This guide shows you what matters, what doesn’t, and how to focus your time wisely so you come across as capable, confident and employable.

Jobs

What Hiring Managers Look for First in Edge Computing Job Applications (UK Guide)

In today’s fast-evolving tech landscape, edge computing is one of the most sought-after fields — blending distributed systems, embedded systems, networking, cloud, IoT, data and real-time processing. But that also means hiring managers are highly selective. They scan applications fast and look for signals of relevance, impact, technical depth and real-world delivery long before they read every line. This guide demystifies what hiring managers in edge computing look for first in your application — so you can tailor your CV, portfolio and cover letter to jump out of the stack. Whether you’re targeting edge systems roles, embedded IoT edge jobs, edge-native data roles, edge platform engineering or edge-AI positions, this checklist will help you position your experience in a way hiring managers can trust immediately.

Education

The Skills Gap in Edge Computing Jobs: What Universities Aren’t Teaching

Edge computing is rapidly moving from niche concept to critical infrastructure. As organisations deploy connected devices, sensors, autonomous systems and real-time analytics, processing data closer to where it is generated has become essential. From smart cities and manufacturing to healthcare, transport, defence and telecommunications, edge computing underpins systems where latency, reliability and resilience matter. Demand for edge computing skills across the UK is rising steadily — yet employers consistently report difficulty finding candidates who are genuinely job-ready. Despite growing interest and academic coverage, universities are not fully preparing graduates for real edge computing jobs. This article explores the edge computing skills gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build sustainable careers in edge computing.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.