AI Research Scientist

microTECH Global Limited; Cambridge; Hybrid; GBP 50,000 - 85,000; Full time

Job summary

A leading company in AI technology is seeking an AI Research Scientist to join their innovative team in Cambridge. This role focuses on machine learning technologies and requires a PhD and proficiency in frameworks like PyTorch and TensorFlow. Successful candidates will contribute to groundbreaking AI deployment on embedded systems. If you thrive in a collaborative environment and are eager to make a real-world impact, this is the opportunity for you.

Qualifications

• PhD in Computer Science, Electrical Engineering, or equivalent research experience.
• Proficient in ML frameworks (PyTorch, TensorFlow, JAX).
• Hands-on experience with multi-GPU or distributed training.

Responsibilities

• Drive research on-device large language models and vision-language models.
• Collaborate with cross-functional teams to transition ML innovations.
• Develop scalable, high-performance AI algorithms for consumer devices.

Skills

Machine Learning

Artificial Intelligence

Collaboration

Programming

Communication

Education

PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

JAX

Git

GitHub

Job description

Permanent Role

Location: Cambridge

Hybrid Policy: 3 days onsite and 2 days working from home weekly

Role and Responsibilities

As anAI Research Scientist, you will be part of a dynamic team working on next-generation machine learning technologies for real-world deployment on consumer devices. Your role will involve:

• Driving research and development in areas such as on-device large language and vision-language models (LLMs/VLMs), adaptive inference, and efficient mobile ML systems.
• Contributing to both ongoing research agendas and helping define new directions that push the boundaries of AI on edge devices.
• Collaborating closely with cross-functional teams across research and product engineering to transition ML innovations from prototypes into production.
• Designing and developing novel machine learning algorithms and system-level optimizations that enable scalable, high-performance AI experiences on-device.
• Translating theoretical work into applied solutions and supporting the commercialization of AI technologies for deployment at scale.
• Preparing technical documentation, contributing to publications, and supporting the creation of patents.
• Working in a collaborative, growth-oriented environment that values knowledge sharing, innovation, and personal development.

We are looking for curious, motivated individuals who thrive in a team setting and are eager to develop innovative AI systems that will have real-world impact.

Skills and Qualifications

Education & Experience:

• PhD in Computer Science, Electrical Engineering, or a related field; or equivalent research experience in industry or academia.
• Open to applicants across a range of seniority levels with relevant expertise.

Core Skills:

• Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX.
• Experience in efficient ML techniques (e.g., quantization, pruning, sparsity, distillation).
• Practical knowledge of AI deployment on embedded/mobile platforms, including CPUs, GPUs, and NPUs.
• Hands-on experience with multi-GPU or distributed training at scale.
• Strong programming skills in Python, C/C++, and familiarity with Linux-based systems.
• Competency with tools such as Git and GitHub for version control and collaboration.
• Strong teamwork and communication skills.

Desirable:

• A strong publication record in top-tier conferences (e.g., NeurIPS, ICLR, ICML, MLSys, MobiSys, ICCAD, MobiCom).

If you are interested if you can please apply below or send your CV to [e-mail]