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

Apply Now

Contract Machine Learning Engineer, mostly remote

Clerkenwell
7 months ago
Applications closed

Related Jobs

View all jobs

AI/ Machine Learning Engineer NLP / LLM – Contract

Junior Machine Learning Engineer (12 Months Fixed Term Contract)

Junior Machine Learning Engineer (6 Months Fixed Term Contract)

Machine Learning Engineer

Machine Learning Engineer

Senior Machine Learning Engineer

Location: 1 Day Working Onsite In London

Rate: £500 per day

IR35: INSIDE

Zenovo are currently looking to recruit for a Contract Machine Learning Engineer to work for an exciting client of ours in London on a 6 month contract basis - INSIDEIR35.

Responsibilities Will Include:

  • Optimize, quantize, and deploy deep learning model outputs

  • Develop efficient inference pipelines for running AI models in real-time on constrained hardware.

  • Implement custom CUDA kernels.

  • Collaborate with cross-functional teams, including ML researchers, embedded software engineers, and UI/UX designers, to integrate ML solutions seamlessly into products

    Technical Skills Required:

  • Background in specialised machine learning ( at least 4 years commercial experience)

  • Proficiency in deep learning frameworks such as TensorFlow or PyTorch.

  • Experience with ML model optimisation techniques, including quantization, pruning, and knowledge distillation.

  • Experience with CUDA or OpenCL

    Nice to Haves:

  • Expertise in computer graphics programming using OpenGL, Vulkan, DirectX, or equivalent

  • Experience with video streaming frameworks (Gstreamer, deepstream, holoscan etc.

  • Understanding of computer vision & image processing techniques and optimization for edge inference

  • Good knowledge of Linux, cmake and git

  • Good knowledge of software design principles and C++ design patterns.

    If you're ready to take on a challenging role and help push the boundaries, please contact Phil or his colleague Sophie

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.