Mechatronics Engineer

Great Abington
10 months ago
Applications closed

Azenta Life Sciences develops a variety of low-power (sub-500W) automated equipment specifically designed for bio-sample management, including decapping/recapping machines.

We are seeking a skilled Mechatronics Engineer to join our small, dynamic engineering team. This role involves both developing new products and maintaining existing designs.

This role is ideal for a self-driven engineer who values a hands-on, multidisciplinary approach in a collaborative and innovation-focused environment. If you’re passionate about advancing bio-sample management through engineering, we’d love to hear from you.

What You'll Be Doing

The job will involve all aspects of designing a product, from developing concepts and prototyping, testing prototypes, working with suppliers to get custom parts, design-for-manufacture, writing assembly instructions for production to follow.

In the development aspect, responsibilities include specifying and testing small DC and stepper motors, and designing control systems, which may range from custom microcontroller-based solutions to off-the-shelf systems, depending on the requirements.

This role provides an opportunity to take ownership of significant portions of machine design, offering a varied workload suitable for someone interested in multidisciplinary engineering.

The skill focus is approximately 65% mechanical and 35% electronics/electrical/firmware.

In maintenance, duties include supporting service personnel, configuring machine settings, and assisting manufacturing engineers in creating factory test procedures.

What You'll Need

You are enthusiastic and proactive, with a natural ability to make things happen. As an original thinker, you are comfortable challenging others’ perspectives but also open to constructive feedback. You combine pragmatic thinking with excellent hands-on skills and have the drive to see projects through to completion.

Degree in Electronic or Mechanical Engineering (or a similar field) preferred; equivalent experience and demonstrated expertise will also be considered.

Electronics Expertise: Knowledge of mixed-signal electronics with an ability to read schematics and perform design work. Hands-on electronics experience is essential.

Appreciation of industry regulations including EMC, LVD, Machinery Directive, etc

Programming: Experience in writing code for microcontrollers in C, C++ and Python (Arduino experience is acceptable with a willingness to work at a deeper level).

Mechanical Aptitude: Strong understanding of mechanical systems with the ability to read and create engineering drawings. Proficiency in CAD software (Solid works ideally, or similar)

Testing Skills: Proficiency in using general electrical and electronics test equipment.

Prototyping: Ability to design and build test fixtures and prototype components (both electrical and mechanical) quickly and efficiently.

Additional Skills:

Experience with 3D modelling, 3D printing, or similar prototyping tools.

Excellent analytical and problem-solving skills.

Experience with designing to regulations and standards (EMC, LVD etc) will be an advantage

Experience with computer vision devices design, small electronic devices or robotics would be an advantage

Self-motivated with a genuine passion for engineering.

Strong written communication skills for clear and concise documentation

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

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

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.