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

Apply Now

Multiple Data Engineers/Scientists/ML Engineers needed - LONDON

Areti Group | B Corp
London
1 month ago
Applications closed

Related Jobs

View all jobs

Research Scientist (Quantum Chemistry and Machine Learning), London London

Lead Data Engineer

Senior Data Scientist

Lead Pricing Data Scientist

Senior Data Scientist, Payments Foundation Models

Senior Data Scientist, Payments Foundation Models

Overview

Areti Group is hiring multiple Data Engineers/Data Scientists/ML Engineers to join our London team. This is remote-first with travel to client sites; onboarding will be in London. Security cleared or clearable candidates only.

We are working with one of the UK's fastest-growing tech start-ups on high-impact, mission-critical projects across the public sector, defence, and government organisations, delivering real-world innovation powered by data and technology.

Responsibilities
  • Contribute to high-impact, mission-critical projects across the public sector, defence, and government organisations.
  • Work with technologies such as Palantir, Python, and IoT (Internet of Things) to build scalable data solutions.
  • Collaborate with clients and stakeholders; communicate project status and findings effectively.
  • Deliver real-world innovation powered by data and technology.
Qualifications & Requirements
  • Security Cleared or Clearable Candidates Only (DV or SC clearance is desirable)
  • Background in public sector, defence, or government projects is highly desirable
  • Strong communication skills; comfortable working directly with clients and stakeholders
  • Passion for technology, innovation, and building scalable data solutions
  • Experience with data engineering, data science, or ML engineering roles
What You’ll Get
  • Competitive salary paying between £50,000 and £100,000
  • Equity options
  • Exposure to mission-critical projects
  • A collaborative and forward-thinking team
  • Work with leading-edge technologies
Job Details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Information Technology
  • Industries: IT Services and IT Consulting

Interviews are happening ASAP – don’t miss out!


#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.

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.