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

Apply Now

Lead Data Scientist

erg group
Glasgow
6 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist - Agentic AI

Lead Data Scientist...

Lead Data Scientist...

Lead Data Scientist

About the Company
I’m working with a fast-scaling company that recently secured £20M in Series A funding and is already preparing for Series B. They’re building software that genuinely changes lives. With expansion underway, especially into the US, it’s a brilliant time to join. The team is sharp, diverse, and growing quickly, with plenty of momentum behind what they’re building.

About the Role
This is a permanent, full-time Data Science Team Leader position. You’ll head a team developing production-grade ML and AI solutions, focusing on performance, rigour, and real-world impact. The role is hands-on and strategically important. You’ll own end-to-end delivery, collaborate with technical and scientific teams, and help define how data science is applied across the business. This is meaningful AI work, with clear technical challenges and purpose.

Responsibilities
· Lead and mentor a team of data scientists working on applied ML projects
· Take ownership of projects from data acquisition to deployment
· Develop robust, high-performance models for real-world datasets
· Ensure all outputs meet technical and regulatory standards
· Work closely with scientists, engineers, and domain experts
· Introduce new tools, methods, and approaches where relevant
· Communicate clearly with both technical and non-technical audiences

Qualifications
· Strong Python skills and practical machine learning experience
· Proven ability to lead or mentor in a data science setting
· Track record of delivering models into production environments
· Degree in a relevant technical field or equivalent hands-on experience
· Excellent written and verbal communication skills
· Bonus if you’ve worked with MLflow, GitHub, PyTest, Jira, or HPC systems
· Bonus if you have experience under a QMS or with safety-critical software

What’s in it for You?
· £85,000 depending on experience
· Hybrid working model with two days a week in the office
· Flexible hours around core team collaboration
· A leadership role with real-world impact and technical challenge
· The chance to shape applied AI in a company that’s scaling fast

If you're interested in leading a high-performing team, solving hard problems, and applying data science where it truly matters, I’d love to hear from you. Send your CV and a short note to the Chief Scientific Officer at the email provided.

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

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.