National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Machine Learning Engineer

Paddington
7 months ago
Applications closed

Related Jobs

View all jobs

Lead Machine Learning Engineer, Associate Director, London

Lead Machine Learning Engineer, Associate Director 1

Applied AI ML Lead - Senior Machine Learning Engineer - Commercial and Investment Bank

Principal Machine Learning Engineer

Principal Machine Learning Engineer

Senior Machine Learning Engineer

My Client are looking for a lead machine learning engineer, someone who had experience leading a team working a lot with AI and machine learning. The job is very remote with once a month visit to the office in London, it is paying a great salary with a bonus and package on top.,

What's the job

  • Lead the implementation of data science projects and data science approaches to support commercial goals

  • Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working

  • Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science and embed the use of data science directly in our products and processes

  • Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results

  • Be a champion and role model for the application of data science across the group

  • Support the data leadership team in developing a “data culture” and demonstrating the value of data in our decision making

  • Lead our efforts to develop the data science (and broader customer analytics) “brand” for both internal and external audiences

    What you'll bring

  • Proven experience delivering high-quality AI-based products and productionisation of Machine Learning based products

  • Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP)

  • Excellent understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.)

  • Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib)

  • Strong software development skills (Python is the preferred language)

  • Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow

  • Strong management and leadership skills – previous experience managing a team

  • Strong influencing, communication and stakeholder management skills
National AI Awards 2025

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 Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.