Software Engineer: Applied NLP/ML and Data Systems (Mid-career / Senior)
- Location
- Cambridge, England, United Kingdom
rather than only for exceptions. Applied ML in production: embeddings and semantic similarity, clustering, or operationalising models (not necessarily training from scratch). AWS fluency and CI/CD discipline. Nice to have Practical LLM engineering: prompting, batch inference, and cost and throughput trade-offs across providers. SageMaker … comparable managed ML tooling. Financial and equities domain knowledge: classification taxonomies, factor models, index construction. Valuable but learnable. Infrastructure as code (AWS CDK or Terraform) and Docker. Experience we're looking for We care more about what you've owned than years on a CV. ...