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

Nominate & Attend

Data Engineer

Milton Keynes
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

EY325 Data Engineer
Location: Milton Keynes
Salary: £31,000 + Company Vehicle and Tools provided
Working Hours: Monday - Friday (40 hours Per Week)

Overview:

First Military Recruitment are currently seeking Data Engineer on behalf of one of our clients. Responsible for supporting the delivery of the Project Services Team to meet customer requirements to improve service delivery standards in respect of new store openings, store closures and changes to existing estate in particular structured cabling, software upgrades, IMAC and associated remedial shop fitting works. Our client encourages applications from ex-military personnel however all candidates will be given due consideration.

Duties and Responsibilities:

To deliver on site projects to the customer specification and agreed statement of works, including structured cabling, data communications, IMAC work, software upgrades, decommissioning of equipment and general remedial shop fitting works in line with product specification and industry standards.
To deliver works in line with Health and Safety standards and at all times ensuring adequate control of risk to self, customer employees on site and the general public.
To keep abreast of changes to legislation and product development to ensure the highest standards are achieved at all times.
Keeping the customer and Project Services Team informed at all times of the progress of the work.
Reporting to the relevant helpdesk, where necessary, in accordance with the escalation procedures of the relevant customer.
Updating the Project Manager at every stage to ensure smooth communication between the company and the customer.
Accurately recording stock deployment to allow maintenance of up to date and accurate stock inventory records on behalf of the customer.
Completion of all relevant documentation to allow performance reports to be produced in a timely manner to monitor customer service.
Maintaining contact with the Project Services Team to allow real time logging and availability.
Returning and packaging of decommissioned equipment to the repair centre, with fully completed documentation, within a two day window, fully assembled and labelled.
Any other reasonable tasks as assigned by management.
Skills and Qualifications:

Previous experience in a similar role.
Excellent customer service skills.
High degree of flexibility in terms of hours of work and location.
High level of health, safety and environmental compliance.
Full clean driving licence

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.