Deep Learning Researcher

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

Job summary

A leading technology company seeks a talented Deep Learning Researcher to advance projects in AI and machine learning. The successful candidate will innovate in key areas such as large language models and optimization for chip design, contributing significantly to the integration of AI into practical applications. The role demands strong technical skills in various programming languages and a relevant PhD, offering a competitive salary and the chance to shape the future of AI technology.

Qualifications

• PhD or equivalent experience in ML, AI, CS, physics, or mathematics required.
• Strong proficiency in Python, C++, and deep learning frameworks.
• Experience in LLMs, reinforcement learning, or chip design preferred.

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++

Education

PhD 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