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

Apply Now

ML Quantization Research Engineer

IC Resources
Oxford
6 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Computer Vision Engineer

Machine Learning Engineer – Insurance

Lead Data Scientist - Remote

Senior Machine Learning Engineer

Lead Data Scientist - Remote

Data Scientist

ML Quantization Research Engineer

I am seeking a PhD-educated candidate with specific hands-on research experience tackling complex, unsolved quantization problems for AI chips. My client’s new tech is all based on years of ground-breaking research and the succesful ML Quantization Research Engineerwill utilize their recent experience to solve problems that other AI chip companies have not yet solved! This is an excellent opportunity to join a funded AI-chip start-up and apply your expertise to quantization algorithms research and design for a new type of processor.

Essential experience

  • PhD with a focus on Computer Science
  • Quantization research and design, for machine learning workloads.
  • Low precision computing
  • ONNX, TVM
  • PyTorch, TensorFlow

Desirable experience

  • Relevant publications or patents
  • Model quantization specifically for LLMs and/or analog computing

What’s on offer?

  • £60-100k DOE
  • Share options
  • Hybrid & Remote options
  • Visa sponsorship

How to Apply

This is an excellent opportunity for a ML Quantization Research Engineer. Please apply now for immediate consideration and speak with Chris Wyatt at IC Resources who is recruiting for this position in Oxfordshire, UK.

 

 

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.