Machine Learning Engineer (PhD)

JR United Kingdom; City Of London; Hybrid; GBP 60,000 - 85,000; Full time

Job summary

A global leader in advanced computing seeks a Machine Learning Researcher with a PhD to contribute to innovative AI projects. You will conduct research, design algorithms for chip optimization, and collaborate with engineering teams. This role offers a flexible hybrid work environment and opportunities for professional growth.

Benefits

Flexible hybrid work environment

Opportunities to publish and innovate

Qualifications

• PhD or equivalent experience in relevant fields.
• Proficient in Python and C++.
• Solid grasp of ML techniques; independent and team-oriented.

Responsibilities

• Conduct and publish cutting-edge AI/ML research.
• Design algorithms for chip optimization.
• Collaborate with engineering teams to integrate AI.

Skills

Python

C++

Deep Learning Frameworks

Machine Learning Techniques

Education

PhD or equivalent experience in ML, AI, CS, physics, or mathematics

Tools

PyTorch

TensorFlow

Job description

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Machine Learning Engineer (PhD), london (city of london)

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Client:

microTECH Global LTD

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

16.06.2025

Expiry Date:

31.07.2025

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Job Description:

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
• 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