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

Apply Now

Lead Data Scientist

Robert Walters
London
1 week ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist - Remote

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist (L3RPEY-EE99B2CA) London, England

Salary: GBP70000 - GBP100000 per annum

Lead Data Scientist - Adtech Business

I am recruiting for a Lead Data Scientist to drive innovation in machine learning and data-driven solutions, particularly within AdTech. This fully remote role is ideal for someone passionate about optimising algorithms, building scalable models, and solving complex business challenges for clients & customers.

Key Responsibilities:

  • Develop and deploy machine learning models to enhance advertising performance.
  • Optimise real-time decision-making algorithms in programmatic advertising.
  • Work with data engineers to build scalable, production-ready data pipelines.
  • Apply advanced ML techniques like reinforcement learning and deep learning.
  • Collaborate with cross-functional teams to integrate models into live products.

Requirements:

  • 6+ years of experience in applied machine learning and data science.
  • PhD or MSc in a related subject, Mathematics, Machine Learning, etc.
  • Strong Python, SQL, and cloud-based ML framework expertise (AWS SageMaker, TensorFlow, PyTorch).
  • Experience with real-time data processing.
  • Knowledge of probabilistic modelling, optimisation, A/B testing.
  • Knowledge of AdTech systems.
  • Excellent problem-solving skills and ability to communicate insights effectively.

This is a remote role but would need to be based in the UK and has a salary of up to £95,000 per annum + a wealth of benefits.

Please apply within if this is interesting to you.


#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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.