Artificial Intelligence Engineer

microTECH Global LTD; Cambridge; On-site; GBP 70,000 - 120,000; Full time

Job summary

microTECH Global LTD in Cambridge seeks an accomplished researcher to lead engineering efforts on ML/AI research projects. You will optimize algorithms, scale prototypes, and ensure robust systems while collaborating closely with researchers to align engineering with research objectives.

The ideal candidate holds a PhD in Computer Science or related field, has extensive experience in ML algorithm research, and is proficient in Python and C++.

Qualifications

• PhD in Computer Science or related subject.
• Extensive experience researching ML algorithms and systems.
• Strong programming skills in Python or C++.
• Experience with optimization, RL, or LLMs.
• Familiarity with TensorFlow, PyTorch, and JAX.
• Experience with scalable system design and deployment.
• Exposure to chip design or applied AI research.

Responsibilities

• Lead engineering efforts on complex ML/AI research projects.
• Optimize algorithms and ensure scalability of research prototypes.
• Coordinate with researchers to align engineering with objectives.

Skills

ML research

Algorithm optimization

Python

C++

Collaborative research

System design

Education

PhD in Computer Science or related field

Tools

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