Senior Machine Learning Engineer, London
I’m working with a highly technical organisation, a new client of ours and a global hedge fund, that wants a Machine Learning Engineer focused on the systems that make ML work, not on building models.
What you’ll be working on:
- Trialling emerging ML frameworks and hardware before most people have heard of them
- Speeding up training and inference across a very large GPU estate
- Tracking down tricky bottlenecks across compute, networking and storage
- Partnering with engineers around the business to push their ML workloads further
What makes the opportunity interesting:
- Time to experiment is built into the role
- Access to GPU resources few organisations can match
- Hiring is based on PyTorch depth and solid engineering, not titles
- Research labs or major tech firms are a natural background, but not a requirement
- A long term technical career path with no push into management
This would suit someone who loves working out why an ML job behaves the way it does, then making it quicker. Earning potential of an additional £100k to £200k.
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