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

Apply Now

Data Engineer

iO Associates
Leicester
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Contract Data Engineer - APIs / Python / Power BI / Machine Learning

£400 to £500 per day (Outside IR35)


6-month initial contract with likely extensions


Hybrid, two days per week onsite with a Midlands-based retail business


The opportunity

A leading UK retail business is expanding its data function and looking for a hands-on Data Engineer to help improve how data moves, connects and delivers insight across the organisation.


What you will be doing

  • Building and optimising data pipelines and APIs between internal systems and third-party partners
  • Improving data quality, automation and consistency across storage and reporting layers
  • Designing and publishing Power BI reports and dashboards to support commercial decision making
  • Exploring opportunities to apply AI and machine learning to improve forecasting and automation
  • Working closely with stakeholders to align data solutions with business objectives

What we are looking for

  • Proven experience as a Data Engineer or Data Developer in a commercial environment
  • Strong knowledge of Python and SQL
  • Experience building data pipelines or APIs using any modern framework or toolset
  • Familiarity with Databricks, Power BI or similar data visualisation tools
  • Understanding of machine learning concepts or AI-driven process automation
  • Strong communication skills with the ability to explain technical work to business users

Why join

  • A high-impact role within a growing data function at a major UK retail business
  • The chance to shape how data is designed, integrated and used across multiple systems
  • A mix of engineering, reporting and applied AI projects
  • A collaborative, delivery-focused environment that values initiative and commercial awareness


#J-18808-Ljbffr

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

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 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.