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

Apply Now

Understanding Recruitment | Financial Data Engineer

Understanding Recruitment
London
11 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Senior Genomic Data Scientist (we have office locations in Cambridge, Leeds & London) London

Senior Football Data Analyst

Data Engineer – 12 Month Fixed-Term Contract

Senior Data Scientist

Senior Genomic Data Scientist (we have office locations in Cambridge, Leeds & London)

Financial Data Specialist

Location:Hybrid – Spend three days a week in either our London or Luxembourg office.


Join a dynamic and forward-thinking organization transforming the financial sector with innovative data-driven solutions. We are looking for aFinancial Data Specialistto play a pivotal role in delivering accurate and reliable financial insights, empowering strategic decisions across the business.


What You’ll Do

  • Build Data Workflows: Create and manage robust pipelines to handle intricate financial datasets efficiently.
  • Ensure Data Excellence: Maintain top-notch data accuracy, consistency, and accessibility for analytics and reporting.
  • Collaborate Across Teams: Work closely with diverse teams to understand data needs and develop tailored solutions.
  • Streamline Vendor Integration: Enhance the integration of external financial data sources into our systems for maximum efficiency.


Why Work With Us?

  • Competitive Package: Earn up to £90,000, depending on experience and interview performance.
  • Generous Leave Policies: Enjoy 26 days of annual leave, plus a birthday day off and a duvet day to recharge.
  • Comprehensive Benefits: Access full health and dental coverage for peace of mind.
  • Meaningful Work: Lead impactful projects and shape the future of financial data innovation.


Ready to Make a Difference?

This is your opportunity to join a company at the forefront of financial data solutions, where your expertise will drive meaningful change. Are you ready to take on this challenge? Apply now!

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.

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.

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.

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.