Deep Learning Researcher

microTECH Global LTD; Cambridgeshire and Peterborough; On-site; GBP 70,000 - 120,000; Full time

Job summary

microTECH Global LTD in the United Kingdom seeks a senior researcher to lead engineering efforts on AI and machine learning initiatives within semiconductor research. You will drive development of scalable ML systems and collaborate with researchers to align engineering work with high-level objectives.

Applicants should have a PhD in Computer Science or related field, a strong publication record in NeurIPS/ICML/ICLR, and hands-on experience with Python, C++, and modern DL frameworks.

Qualifications

• PhD in Computer Science or related field required.
• Publications in top ML/NLP/AI conferences.
• Extensive ML algorithm and systems research experience.
• Proficiency in Python and C++ or similar.
• Experience with optimization, RL and/or LLMs.
• Familiarity with deep learning frameworks (TF, PyTorch, JAX).
• Experience deploying research systems in production environments.

Responsibilities

• Lead engineering on complex ML/AI research projects.
• Optimize algorithms for scalable research prototypes and systems.
• Coordinate with researchers to align engineering with research objectives.
• Contribute to technical publications and research documentation.
• Maintain and improve research infrastructure, tools, and workflows.
• Stay up to date with AI and engineering best practices.

Skills

ML research

Python/C++

Optimization/RL/LLMs

DL frameworks (TF, PyTorch, JAX)

Large-scale systems

Education

PhD in Computer Science or related

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

Contribute to technical publications and assist in preparing research documentation

Maintain and improve research infrastructure, tools, and workflows

Stay up to date with the latest advancements in AI, engineering best practices, and related fields

Requirements:

PhD in Computer Science or related subject

Publications in conferences such as: NeurIPS, ICLR, ICML, EMNLP, AAAI, IJCAI

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