National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Mechatronics Engineer

Great Abington
1 month ago
Applications closed

Related Jobs

View all jobs

Graduate Robotics Engineer

Artificial Intelligence Researcher

Artificial Intelligence Researcher

Artificial Intelligence Researcher

Artificial Intelligence Researcher

Artificial Intelligence Researcher

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

National AI Awards 2025

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.