Job Description
The opportuity for 2026 with a fast growth start up and p,lease apply now -
EA are excited to be appointed to help in working with this AI start up that is revolutionising tools that let filmmakers edit, localise, and refine performances without reshoots.
About the Role
The Senior ML Systems Engineer will own the full stack from data ingestion through to distributed training and production inference.
Responsibilities
- Importantly a track record of building ML infrastructure or data platform
- Strong #Python backend expertise (e.g. FastAPI or similar) and this hire will have significant ownership
- Data platform: #LanceDB, #DataFusion, #Arrow, Parquet, Iceberg
- Training infra: #PyTorch, Ray, multi-node distributed setups
- Inference: Triton, model ensembles, production reliability
- Multimodal pipelines: TB-scale video, embedding, and #metadata #datasets
Qualifications
It's a hybrid role, with a London office combines a very attractive & competitive salary, and equity
Required Skills
The company is at a genuinely exciting stage being well-funded, technically and building something that is at the leading edge of technology with a strong market prescence already.
If the timing is right (or if it isn’t but you’re curious) Contact immediately - [email protected] or [email protected]