Machine Learning Engineer (PhD)

MicroTech Consulting
London, England
8 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom

Machine Learning Engineer

Faculty AI London, United Kingdom
Hybrid Clearance Required

Machine Learning Engineer

Faculty AI London, United Kingdom
Remote Clearance Required

Machine Learning Engineer

PhysicsX North Tyneside, NE29 8EP, United Kingdom
On-site Clearance Required

Machine Learning Engineer

PhysicsX United Kingdom
Hybrid

Machine Learning Engineer

PhysicsX United Kingdom
Remote

Machine Learning Engineer

SF Partners Birmingham, West Midlands (county), United Kingdom
£60,000 – £75,000 pa Hybrid Clearance Required
Posted
20 Oct 2025 (8 months ago)

About Us:

MicroTECH-Global are working with a global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization.


Role Overview:

We're seeking a motivated Machine Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration.


Responsibilities:

  • Conduct and publish cutting-edge AI/ML research
  • Design algorithms for chip optimization and intelligent systems
  • Collaborate with engineering teams to integrate AI into real-world tools
  • Stay current on AI trends and contribute to open research


Requirements:

  • PhD or equivalent experience in ML, AI, CS, physics, or mathematics
  • Strong publication record (NeurIPS, ICML, ICLR, etc.)
  • Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Solid grasp of ML techniques; independent and team-oriented mindse


Preferred:

  • Experience in LLMs, reinforcement learning, or chip design
  • Familiarity with JAX and optimization frameworks


Why Join Us:

  • Work on impactful AI research with real-world applications
  • Collaborate with top researchers in a global team
  • Flexible hybrid work environment
  • Opportunities to publish, innovate, and grow professionally

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

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

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. 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.