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

Apply Now

Maintenance Performance Engineer

Exotec
Birmingham
8 months ago
Applications closed

Related Jobs

View all jobs

MLOps Engineer

MLOps Engineer

MLOps Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

At Exotec, we are at the forefront of technological excellence in order to redefine the relationship between humans and robots. Our solutions are contributing to the success of some of the largest brands in retail and e-Commerce by revolutionizing the way they fulfill their orders to the end consumers, all while mitigating labor constraints and increasing workplace safety.

Through the unification of artificial intelligence and high-performance hardware, our robotic solutions are now deployed across the globe and our exponential growth has led us to become the first industrial unicorn in France.

Working at Exotec is an exciting opportunity to give purpose to your skills. Learn and grow with over 1000 ExoPeople around the world to help turn your ideas into a reality.

The robotics revolution is just the beginning at Exotec. Will you be part of it?

As a Maintenance Performance Engineer, you will :

  • Participate in the permanent supervision of the Skypod systems deployed by Exotec
  • Search for the best technical solution and diagnose with your contact person in complete autonomy
  • Ensure ongoing reporting of bugs encountered and solutions found
  • Supervise the reliability of customer sites (analyze and explain underperformance) and monitor system updates
  • Carry out regular reviews of maintenance levels with the customer
  • Support the contract engineer in the technical studies requested by the customer
  • Participate in the main stages of the project's test plans
  • Help to improve system reliability through your actions

Requirements

  • You have an engineering degree, ideally specializing in IT, robotics, or industrial automation.
  • You will have at least 5 years' experience in customer technical support for applications, software, and/or hardware.
  • You are comfortable working in software-oriented environments, analyzing and solving problems
  • You also have general knowledge of electronics, mechanics, and automation
  • You are autonomous, rigorous and have excellent interpersonal skills

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.