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

Apply Now

Machine Learning Engineer

IC Resources
City of London
2 weeks ago
Create job alert

Join to apply for the Machine Learning Engineer role at IC Resources. An innovative deep-tech company developing next-generation computing hardware is looking for a Machine Learning Engineer to join their growing team in West London. This is a unique opportunity to work at the intersection of machine learning, advanced hardware design and high-performance data processing. You’ll help build and optimise models that push the boundaries of AI efficiency and capability, working closely with multidisciplinary teams across software, hardware and research. You’ll play a key role in developing and refining new ML architectures, designing input/output encoding methods, and conducting rigorous benchmarking to evaluate and improve performance. This role is ideal for an engineer with a strong foundation in ML who enjoys both conceptual design and hands‑on model development.


Responsibilities

  • Design and optimise novel machine learning architectures for high-dimensional and visual data
  • Develop and test hybrid physical/software ML models tailored to next‑generation computing platforms
  • Design and evaluate data encoding, preprocessing and post processing methods
  • Build tools and pipelines for performance benchmarking and model evaluation
  • Research and adapt state-of-the-art ML and computer vision techniques to new hardware paradigms
  • Collaborate cross‑functionally with hardware, software and research teams

Requirements

  • Strong background in machine learning algorithm development and optimisation
  • Proficiency in Python and modern ML frameworks such as PyTorch, JAX or TensorFlow
  • Experience with data modelling, preprocessing and performance benchmarking
  • Understanding of ML evaluation metrics and model analysis methods
  • Excellent communication skills and collaborative mindset
  • 3+ years of experience in ML, computer vision, data science or a related quantitative field

What’s On Offer

  • £100k+ salary depending on experience
  • Stock options and pension contributions
  • 25 days annual leave + bank holidays
  • Annual training and development budget
  • A chance to work on cutting‑edge AI technology in a fast‑growing deep‑tech environment with strong career progression potential

Location: London, England, United Kingdom


If you’re interested in this role and have all the necessary experience, then apply now. Otherwise, if you’re looking for other AI/ML and computer vision opportunities, reach out to Oscar Harper at IC Resources.


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer - London

Machine Learning Engineer - AI and Automation

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

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.

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

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.