Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Hardware Engineer

Tenterden
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer London, United Kingdom

Senior Computer Vision Engineer

Senior Machine Learning Engineer, Scaling World Models

Senior Computer Vision Engineer

Computer Vision Engineer

Machine Learning Engineer - Autonomy

Senior Hardware Engineer - Kent - up to £75,000 + Benefits - Ref 1737

I am currently for a Senior Hardware Engineer to work for a leading engineering organisation based in Kent. Salary up to £75,000 + Benefits.

The organisation has a fantastic heritage having been in operation for nearly 50 years and they employ over 100 people. They have a fantastic reputation in the market they operate within and employ some of the best engineers within their respective disciplines.

To support with the growth of the business in line with their expansion plans as well as enabling them to continue delivering upon their projects pipelined they have the need to appoint another Senior Hardware Engineer on a permanent basis.

In this role as a Senior Hardware Engineer you will be responsible for the full life cycle from cradle to grave. This will involve customer interface to discuss requirements either in person or online, from here you will define the specification and then head into design. This will include PCB design, schematic capture and layout, digital and low level firmware programming of embedded systems typically in C. You will be working in a multi-disciplined team of engineers. Whilst it is a technical role, the willingness to roll your sleeves up and get hands on from time to time soldering, creating wiring looms or building prototypes will be required. The client works on a wide array of products and therefore the work is constantly varied as its customer led with maintains interest and challenge.

Essential Requirements:

At least 5 years' experience as a Senior Hardware Engineer or similar
PCB Design (Ideally Altium)
Digital
Embedded C / Firmware programmingDesirable Requirements:

FPGA
Artificial Intelligence, Machine Learning, Computer Vision
Video processing experience
EMC / EMIThis is an incredibly exciting opportunity for a Senior Hardware Engineer to work for a very exciting organisation who fully support career advancement and development.

This is an immediate requirement, so assuming the opportunity is of interest, please send an updated copy of your CV or call Adam on (phone number removed)

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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.