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

Apply Now

Lead Data Scientist and Machine Learning Lead

Loop Recruitment
London
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Deep Learning Scientist for Underwriting & LLMs

Machine Learning Engineer (Databricks)

Principal Data Scientist

Senior Data Scientist - Energy AI & MLOps Leader

Lead Data Scientist

Lead Data Scientist (H/F)

Lead Data Scientist | London | Multiple Sectors
London (Hybrid)
Up to 115,000 + Equity + Private Health

Machine Learning | Data Science Libraries | Deep Learning Frameworks | AI

1 x Lead Data Scientist (Financial Services)
1 x Lead Data Scientist (Retail)
1 x Lead Data Scientist (SaaS)

Our client partners with some of the worlds most recognisable brands to deliver innovative, data-driven solutions that transform customer experience, strategy, and performance.
From global enterprises to digital-first disruptors, they help businesses harness the power of advanced analytics, machine learning, and AI to stay competitive in a rapidly changing market.
If youre looking for an opportunity to shape the future of applied AI across exciting industry sectors, this is your chance.

ROLES: Lead Data Scientist (Project Lead, Mentoring, Technical Lead)
We are seeking Lead Data Scientists to take pivotal roles across a variety of industries. These are senior technical and leadership positions perfect for people who want to influence the direction of AI and data science solutions across real-world business problems.

You will set the technical vision, oversee project teams, and serve as a trusted advisor to senior stakeholders defining approaches to complex data challenges, guiding enterprise-scale AI applications, and mentoring a team of talented data scientists.

Deep expertise in machine learning and statistical modelling
Skilled with core data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow)
Proven track record delivering impactful AI/ML projects (e.g. forecasting, recommendation systems, or optimisation)
Experienced project lead with strong technical decision-making and architecture ownership
Passionate mentor/manager who enjoys developing and growing data science talent

Apply now and become a key player driving data science innovation in retail, financial services OR SAAS

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.