Deep Learning Researcher

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

Job summary

A leading technology company is seeking a motivated Deep Learning Researcher to contribute to innovative AI projects, including large language models and chip design optimization. The role demands a strong research background, collaboration across teams, and a commitment to staying abreast of AI trends.

Qualifications

• PhD or equivalent experience in relevant fields.
• Proficient in Python, C++, and deep learning frameworks.
• Strong grasp of machine learning techniques.

Responsibilities

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

Skills

Machine Learning

Artificial Intelligence

Python

C++

Deep Learning

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