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

Apply Now

Director of Machine Learning & AI

Army Marketing
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Software Engineer - (Machine Learning Engineer) - Hybrid

Data Analyst – London – Hybrid – 6 month FTC - £53,000 pro rata

Machine Learning Engineer

Applied Machine Learning Scientist London; United Kingdom

Data Scientist / Software Engineer

Lead Pricing Data Scientist

Overview

Location: London / Remote

Package: Strong Salary + Benefits

We\'re partnered with a fast-growing tech business that\'s investing heavily in its AI capability. They\'re looking for a proven ML/AI leader who can take charge of multiple high-performing teams and set the direction for how Machine Learning is built and scaled across the organisation.

This isn\'t about \'experiments in the corner\', it\'s about shaping strategy, leading delivery, and putting advanced ML systems into production where they make a measurable difference.

What You\'ll Be Doing
  • Leading and scaling cross-functional teams (Data Science, ML Engineering, Software Engineering, Managers).
  • Defining the ML/AI roadmap and aligning it to business outcomes.
  • Driving best practice in MLOps, deployment, observability, and automation.
  • Working with cutting-edge approaches: deep learning frameworks, foundation models, knowledge graphs, etc.
  • Being the voice of ML/AI leadership, setting standards, mentoring, and building a culture of delivery.
What They\'re Looking For
  • You\'ve built and run ML teams at scale, and delivered systems into production, not just research.
  • Technical depth in modern ML/AI (from LLMs to advanced ML infra).
  • Strong grasp of cloud-native, containerised environments and modern engineering practice.
  • Credibility with both exec stakeholders and engineers, you can set strategy and still talk technical detail when needed.
  • Bonus if you\'ve operated in complex, regulated, or high-transaction environments.
Why This Role
  • Serious investment in AI/ML
  • High autonomy and direct impact on how the organisation uses ML at scale
  • Forward-looking culture: growth budget for self-development, modern tech stack, flexibility in where and how you work.
  • A chance to define and own the ML strategy in a business that sees it as a competitive edge, not a side project.

Director of Machine Learning & AI

RSG Plc is acting as an Employment Agency in relation to this vacancy.


#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.