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

Apply Now

Head of Machine Learning

Premier Group
London
9 months ago
Applications closed

Related Jobs

View all jobs

Head of Machine Learning and AI

Machine Learning Engineer

Machine Learning Engineering Lead

Machine Learning Engineer

Junior Data Scientist

Staff Data Scientist

Head of Machine Learning

Central London - Twice a week in the office

£100,000-£120,000


I’m currently working with a well-established London FinTech wealth-management SAAS business, who are looking for aMachine Learningexpert with experience in leadership to join their growing team on a hybrid basis!


This award-winning company essentially supports their global FinTech clients with their cloud management services, CRM requirements, productivity platforms and scaling up of their technology architecture. In role, you will head up the Data Science/Machine Learning team and drive the implementation of AI into all practices across the company, including their core SaaS products which are used by many wealth management, banks and FinTech firms.


More about the company

  • Founded in 2012.
  • Main office in London but have a further 6 worldwide.
  • Work with some of the largest FinTech companies globally.
  • Looking to utilise AI/ML to simplify their processes and products.
  • Award winning business and part of a wider wealth-management group.


The Role – Head of Machine Learning

  • Twice a week in the office.
  • Lead a small team of Data Scientists. Mostly technical but small amount of people management.
  • Lead the integration of ML/AI across the company’s core SaaS products.
  • Work with clients & multiple teams to ensure AI solutions are implemented smoothly.
  • Brand new role which offers great opportunities to progress in a evolving space.


Tech Requirements

  • Salary: £100,000-£120,000.
  • Good experience in Machine Learning, AI, Data Science, Engineering and SaaS – ideally 3-4 years.
  • Experience managing teams from technical standpoint including people management.
  • Confident working with NLP, LLM type solutions.
  • Strong technical background in Data, Development & Cloud – Python/Azure.
  • High level stakeholder management skills.


Benefits: 5% Pension, Bonus, 25 Days Holiday + Bank & Wellbeing, Self-development tools & various perks.


If this role is of interest, then please apply and I can you a call.


Tim Stock

|

https://www.linkedin.com/in/tim-stock-160177159/

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.