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

Apply Now

Senior Machine Learning Engineer - 3D Graphics

Harnham
London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer (GenAI Algos)

Senior Machine Learning Engineer (GenAI Algos)

Senior Machine Learning Engineer (GenAI Algos)

Senior Machine Learning Engineer (GenAI Algos)

Senior Machine Learning Engineer (GenAI Algos)

Senior Machine Learning Engineer


Salary:£65,000-£100,000


Location:London - 5 days a week in office, can then become hybrid post probation


Join a dynamic team of Machine Learning Engineers working on high-impact, machine learning models in the 3D graphics and VFX space.


ROLE AND RESPONSIBILITIES



  • Working closely within a small team, to build and scale ML models focusing on rendering and 3D graphic design
  • Working alongside technical and non-technical stakeholders
  • Driving the latest innovative research in Engineering, deploying core projects onto their AWS platform
  • Opportunity to upskill and mentor junior members, whilst learning from a high calibre team


SKILLS AND EXPERIENCE



Required

  • MSc or PhD in STEM related subject + experience in ML Engineering
  • Proficiency in Python, PyTorch, TensorFlow and AWS
  • Then experience in some of:Diffusion, GANs, 3D modelling, BRDF, PBR, relighting, rendering, Gaussian Splats, Neural Radiance
  • Excellent communication skills with proven experience working with stakeholders
  • Previous startup experience is preferred

Apply below!

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.