Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job Description

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.

Key responsibilities include:

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 toolchains 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.

We're looking for someone with:

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

Desirable Skills:

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 (ExecuTorch, llama.cpp, Candle).

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.