Optimisation Engineer
- London, (GBR)
- £600 - £830 Per Day
- 8 Months
- Start date: ASAP
- Ref: gsk-46725
- machine learning
- data engineering
- google cloud
- devops
- azure
- cloud experience
- ai
- performance tuning
- research
- software engineering
Role Title: Optimisation Engineer
Duration: End of June 2025
Location: GSK House, London
Rate: Up to £830 per day Inside IR35 via Umbrella, dependent on experience
Who Are We - GSK?
We are a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. GlaxoSmithKline plc was formed in 2000 as a result of a merger between Glaxo Wellcome plc and SmithKline Beecham plc, although our history can be traced back more than 300 years to London’s Plough Court Pharmacy in the 1700s.
Our goal is to be one of the world’s most innovative, best performing and trusted healthcare companies. Our strategy is to bring differentiated, high-quality and needed healthcare products to as many people as possible, with our three global businesses, scientific and technical know-how and talented people. Our values and expectations are at the heart of everything we do and form an important part of our culture:
• Our values are Patient focus, Transparency, Respect, Integrity
• Our expectations are Courage, Accountability, Development, Teamwork
Role purpose / summary
The Onyx Research Data Platform organization represents a major investment by GSK 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 Platform
Key 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 plus
All 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!
Join GSK’s vision to do more, feel better and live longer:
https://www.youtube.com/user/gskvision/
Who will I be working with?
http://www.gsk.com/en-gb/careers/meet-our-people/
