Artificial Intelligence Engineer

microTECH Global LTD; Cambridge; On-site; GBP 70,000 - 95,000; Full time

Job summary

microTECH Global LTD is seeking a researcher to lead ML/AI initiatives within an international semiconductor setting. The role emphasizes advancing machine learning research and robust, scalable prototypes.

You will collaborate with researchers to align engineering work with project goals, design experiments, and contribute to deployment strategies for research systems.

Qualifications

• PhD in Computer Science or related field.
• Extensive ML research experience.
• Proficiency in Python, C++, or similar.
• Experience with optimization, reinforcement learning, and/or LLMs.
• Familiarity with DL frameworks (TensorFlow, PyTorch, JAX).
• Experience with scalable system design in research/production environments.

Responsibilities

• Lead engineering efforts on complex research projects in machine learning and artificial intelligence.
• Optimize algorithms and ensure scalability and robustness of research prototypes and systems.
• Coordinate closely with researchers to align engineering work with research objectives and project goals.

Education

PhD in Computer Science

Tools

Python

C++

TensorFlow

PyTorch

JAX

Job description

Our client are an international semiconductor company.

Responsibilities:

• Lead engineering efforts on complex research projects in machine learning and artificial intelligence
• Optimize algorithms and ensure the scalability and robustness of research prototypes and systems
• Coordinate closely with researchers to align engineering work with research objectives and project goals

Requirements:

• PhD in Computer Science or related subject
• Extensive experience researching machine learning algorithms and systems
• Advanced proficiency in programming languages such as Python, C++, or similar
• Experience with optimization, reinforcement learning, and/or large language models (LLMs)
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
• Experience with scalable system design and deployment in research or production environments
• Exposure to chip design or applied AI research