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

Apply Now

Vehicle Workshop Technician / Prototype Technician

Nuneaton
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Data Strategy Consultant - Mid Level

Data Strategy Consultant - Mid Level

Lead Data Analyst

Role: Vehicle Workshop Technician / Prototype Technician - Uncrewed Ground Vehicles (UGVs)

Location: Nuneaton + onsite role full time

Salary: £45,000 approx

Ability to pass a BPSS background check (required for government contractors in the UK).

Role Overview

Support the prototyping, assembly, testing, and maintenance of Uncrewed Ground Vehicles (UGVs) while ensuring compliance with safety and security protocols.

This role entails whole vehicle assembly and test on hybrid powertrain experience with motors and battery packs.

You will also need experience of electrical wiring and knowledge of mechanical aspects.

Not a must but great if you have Firmware knowledge to write software scripts.

Essential:

Associate degree or certification in mechanical, electrical, robotics, or a related technical field.

Responsibilities:

Assemble, integrate, and test prototype ground vehicles, including Mechanical, Electrical. Software
Fabricate and modify vehicle components using machining, welding, and 3D printing as needed.
Wire and install electrical systems, including power distribution, sensors, and control modules.
Conduct troubleshooting and diagnostics on mechanical, electrical, and software-related issues.
Work closely with engineers to implement design modifications and improvements.
Maintain detailed records of assembly procedures, testing results, and modifications.
Ensure adherence to safety and quality control standards during builds and testing.
Operate and support testing of UGVs in controlled and real-world environments.
Assist in software and firmware updates, calibration, and integration of control systems.
Provide feedback on prototype performance and suggest design improvements.
Facility management activities including maintaining COSH records, H&S reviews and incident recording and maintenance of workshop tools.

Essential Experience

3+ years of experience in prototype vehicle assembly, robotics, or automotive technology.
Strong hands-on experience with mechanical, wiring, and system integration.
Proficiency in using workshop tools including drilling, pressing, cutting, and grinding tools and soldering stations, and electrical test equipment such as oscilloscopes and multimeters.
Understanding of vehicle control systems, sensors, and communication protocols (CAN, Ethernet, etc.).
Ability to read and interpret engineering schematics, CAD drawings, and wiring diagrams.
Strong troubleshooting skills in mechanical, electrical, and software-integrated systems.

Preferred Experience

Experience working with lithium batteries, motor controllers, and autonomous vehicle hardware.
Familiarity with embedded systems and installation of firmware & software updates

Additional Information

May require travel for field testing and deployment, from arctic to equatorial conditions.
Must hold a valid UK driving license.
Must pass a Baseline Personnel Security Standard (BPSS) background check.

How to apply?

Please send me a CV to (url removed)

People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.