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

Apply Now

Electrical Fitter

Workpoint Recruitment Ltd
Liverpool
6 months ago
Applications closed

Related Jobs

View all jobs

NLP Data Scientist

Data Scientist - Grid Innovation Model Development

Photoplethysmography (PPG) AI Data Scientist in Health (KTP Associate) - REDEPLOYEE ONLY

Data Scientist

Machine Learning Engineer (Computer Vision & PalmCode Algorithm) - Nethermind

Senior Engineer, Machine Learning

We are looking for an Electrical Fitter to join a long established and successful multi-branch Electro-Mechanical engineering business specialising in electrical & mechanical fault-finding and repair.With electrical, machining & repair shops in-house, they are able to provide a complete turnkey repair & maintenance service for clients. Duties include the overhaul and repair of electric motors and rotating equipment.The successful applicant will have good maintenance and fitting skills, the ability to dismantle and assemble motors (e.g. AC, DC, brake motors) and other rotating equipment. Working 40 hours per week Mon- Fri with occasional evening overtime or weekend work during exceptionally busy periods.The role comes with very competitive salary (negotiable) plus premium overtime, together with company pension, 4 weeks holiday + bank holidays.If you are a resourceful and experienced Electrical Fitter wanting to work in a busy and stable company, and have the experience mentioned above please apply, we'd like to hear from you.TPBN1_UKTJ

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.