Senior Research Engineer; AI​/ML

Contract Type: 6 month contract outsourced via agency on an hourly rate

Location:

Egham

Hybrid: 3 days onsite (minimum) and 2 days working from home

Rate:
Very much dependant on level of experience.

• Performance Optimization:
  Profile and debug performance bottlenecks at the OS, runtime, and model levels.
• Model Deployment:
  Work across the stack—from model conversion, quantization, and optimization to runtime integration of AI models on-device.
• Toolchain Evaluation:
  Compare deployment tool chains and runtimes for latency, memory, and accuracy trade-offs.
• Open-Source Contribution:
  Enhance open-source libraries by adding new features and improving capabilities.
• Experimentation & Analysis:
  Conduct rigorous experiments and statistical analysis to evaluate algorithms and systems.
• Prototyping:
  Lead the development of software prototypes and experimental systems with high code quality.
• Collaboration:
  
  Work closely with a multidisciplinary team of researchers and engineers to integrate research findings into products.

We not require a PhD holder this time which is unusual for the AI Team.

• Technical Expertise:
  Strong OS fundamentals (memory management, multithreading, user/kernel mode interaction) and expertise in ARM CPU architectures.
• Programming
  
  Skills:
  
  Expert proficiency in Python and Rust, with desirable knowledge in C and C++.
• AI Knowledge:
  Solid understanding of machine learning and deep learning fundamentals, including architectures and evaluation metrics.
• Problem-Solving:
  Strong analytical skills and the ability to design and conduct rigorous experiments.
• Team Player:
  Excellent communication and collaboration skills, with a results-oriented attitude

• Experience with ARM 64-bit architecture and CPU hardware architectures.
• Knowledge of trusted execution environments (confidential computing).
• Hands-on experience with deep learning model optimization (quantization, pruning, distillation).
• Familiarity with lightweight inference runtimes (Execu Torch, llama.cpp, Candle).