Contract Machine Learning Engineer, mostly remote

Clerkenwell
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Data Scientist

Genomic Data Scientist in Rare Disease (we have office locations in Cambridge, Leeds & London)

Data Scientist

Data Science / Data Mining Specialist

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.

Products

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

Jobs

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.