Role Title: Optimisation EngineerDuration: End of June 2025Location: LondonRate: Up to £830 per day Inside IR35 via Umbrella, dependent on experienceRole purpose / summaryThe Onyx Research Data Platform organization represents a major investment by R&D and Digital & Tech, designed to deliver a step- change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms.Key Responsibilities• Optimize reproducibility and performance of large-scale data and machine learning workloads for critical AI/ML projects• Rapidly prototype solutions and refine towards platforming and production• Supports optimizations and application integration with Onyx PlatformKey Skills/ requirements• Bachelor’s Degree in Computer Science, Software engineering or related field• Knowledge of distributed application architecture, design, implementation and performance tuning• Cloud experience (Google Cloud & Azure) with networking, storage, containers, and serverless• Experience running compute workloads on HPC and/or specialized compute, storage, and networking appliances• Experience with ML frameworks such as PyTorch or TensorFlow• GKE experience a plusAll profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
Back to searchOptimisation Engineer
Myn
Posted 13 hours ago, valid for 24 days
London, Greater London EC1R 0WX
£40,000 - £48,000 per annum
Full Time
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Sonic Summary
- The role of Optimisation Engineer is available until the end of June 2025, located in London.
- The position offers a competitive rate of up to £830 per day inside IR35 via Umbrella, depending on experience.
- Candidates should have a Bachelor's Degree in Computer Science, Software Engineering, or a related field, along with significant experience in distributed application architecture and performance tuning.
- Experience with cloud platforms such as Google Cloud and Azure, as well as machine learning frameworks like PyTorch or TensorFlow, is required.
- All applications will be reviewed, and only successful candidates will be contacted due to the high volume of applications.
