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

Apply Now

ML Tech Lead

La Fosse Associates Ltd
London
11 months ago
Applications closed

Related Jobs

View all jobs

Tech Lead Machine Learning Engineer

Principal Machine Learning Engineer

Senior Advisor - Artificial Intelligence

Senior Machine Learning Engineer in London

Senior Machine Learning Engineer

Staff Machine Learning Engineer

Machine Learning LeadLocation: LondonSalary: Up to £120,000 + BenefitsWork Type: Full Time - Hybrid (3 days in office)La Fosse have partnered with a hypergrowth phase Insuretech company seeking a leader to drive the development of an AI/ML-powered product set to revolutionize the insurance industry. You will provide technical leadership and guidance, ensuring the product meets high standards of quality and innovation. This role involves taking ownership of the product, working closely with team members to enhance and evolve it, and solving complex business challenges with cutting-edge AI solutions. You'll be at the forefront of a transformative journey, contributing to product strategy and driving key technical decisions.Essential Qualifications:Proven leadership experience managing cross-functional engineering teams.Hands-on experience delivering AI/ML/NLP solutions, including LLMs.Expertise in Core Java Or Python and API development.Strong knowledge of CI/CD pipelines.Understanding of fundamental CS concepts (data structures, algorithms, design patterns).BenefitsPrivate Medical Insurance : Provided by BUPA with coverage for existing conditions, dependents included at no extra cost.Life Insurance : Coverage equivalent to nine times basic annual salary.Pension Scheme : Employer contributes up to 8.75% with a required 3% employee contribution, aligned with auto-enrolment legislation.Annual Leave : 25 days, increasing to 30 after 10 years of serviceIf interested in this role, please apply (latest by 7th October) and submit your CV. Alternatively, send your updated CV to .TPBN1_UKTJ

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.