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

Apply Now

Lead Data Engineer

Xpertise Recruitment
Swindon
6 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer - Reigate

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer – FinTech – Up to £100k + Bonus & Equity (Fully Remote, UK-based only)Xpertise Recruitment is working with a fast-growing FinTech scale-up that’s on a mission to transform the financial services landscape. As they scale, they’re looking for a Lead Data Engineer to take complete ownership of the company’s data strategy, platform, and roadmap.This is a fully remote position – but you must be based in the UK.Why should you want to join?Be the go-to data expert and build a modern data ecosystem from the ground up.Work in a high-impact, commercially driven environment where your insights will directly shape customer strategy and acquisition.Own everything from data architecture to engineering, insight, and governance.Collaborate with stakeholders across marketing, product, and risk to drive smarter decision-making.Join a forward-thinking FinTech with strong funding, real momentum, and a clear vision for growth.Enjoy excellent benefits including equity, bonus, and remote-first flexibility.Competitive salary of up to £100k plus bonus and equity.What will you be doing?Leading on data strategy, ensuring scalability, governance, and cost-efficiency.Designing and building ELT/ETL pipelines, optimising a cloud-based data platform (AWS).Creating data models and infrastructure to support segmentation, predictive modelling, and reporting.Enhancing stakeholder acce...

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 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.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 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.