Deep Learning Researcher

JR United Kingdom; High Wycombe; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading global technology firm seeks a motivated Deep Learning Researcher to drive innovation in AI and chip design. The successful candidate will undertake research in advanced machine learning techniques and contribute to integrating AI into practical applications. This role requires expertise in deep learning frameworks and a passion for pioneering research.

Qualifications

• PhD or equivalent in ML, AI, CS, Physics or Mathematics required.
• Proficient in Python, C++, and deep learning frameworks.
• Solid grasp of ML techniques; must be independent and team-oriented.

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.

Skills

Machine Learning

Artificial Intelligence

Python

C++

Deep Learning

Education

PhD or equivalent in ML, AI, CS, Physics, or Mathematics

Tools

PyTorch

TensorFlow

JAX

Job description

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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 Deep 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 mindset

Preferred:

• Experience in LLMs, reinforcement learning, or chip design

• Familiarity with JAX and optimization frameworks