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

Apply Now

Director of Machine Learning

ic resources
remote, uk
1 year ago
Applications closed

Related Jobs

View all jobs

Software Engineer - (Machine Learning Engineer) - Hybrid

Director of AI Optimization and Productization - R&D Data Science & Digital Health

Senior Director of Data Science & Insights

Data Scientist - Retail and Luxury

Machine Learning Engineer

Machine Learning Engineer

Director of Machine Learning

IC Resources is delighted to be partnering with an AI-chip manufacturer in their search for a new Director of ML (Machine Learning). Technical expertise and knowledge around developing novel model architectures and training methods for deep-learning hardware accelerators and applications is required to be successful in this role, but on a day-to-day you will be applying your vision and strategy to the technical roadmap and guiding the ML group in the right direction, to the next latest thing in ML.

Do you understand the inner workings of a neural network, as well having the know-how to implement on an AI accelerator? Have you spent at least 2 years building your leadership skills in a lead / head of / director level position? If yes to both and looking for your next step, get in touch.

Essential experience

Good academic background most likely demonstrated by a PhD with relevant publications Understanding in both the theory and application of ML Solid grasp of all the recent developments in ML 5+ years industry and/or extensive post-doc academic research – either must be in the field of ML applied to AI hardware 2+ years of leadership experience

What’s on offer?
Top end salaries for the European market Hybrid across multiple offices, or fully remote is an option if based in UK or mainland EU  
Interested?  This is a great opportunity for a Director of Machine Learning. Please apply now for immediate consideration and speak with Chris Wyatt who is recruiting for this position across the UK and mainland EU.

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

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.