Deep Learning Researcher

JR United Kingdom; Chelmsford; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading technology firm seeks a Deep Learning Researcher to join their innovative team. The role involves conducting advanced AI/ML research, algorithm design for chip optimization, and collaboration with engineering teams. Ideal candidates will hold a PhD or equivalent in relevant fields and be proficient in programming languages and deep learning frameworks.

Qualifications

• PhD or equivalent in machine learning, AI, computer science, physics, or mathematics.
• Proficient in Python, C++, and deep learning frameworks.
• Solid understanding of ML techniques with both independent and collaborative skills.

Responsibilities

• Conduct and publish cutting-edge AI/ML research.
• Design algorithms for chip optimization and intelligent systems.
• Collaborate with engineers to integrate AI into tools.

Skills

Machine Learning

Artificial Intelligence

Python

C++

Education

PhD or equivalent experience 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