At a Glance
- Tasks: Develop and optimise our inference platform for cutting-edge biotech applications.
- Company: Join a pioneering biotech firm dedicated to curing diseases with AI.
- Benefits: Competitive salary, health benefits, remote work options, and growth opportunities.
- Other info: Dynamic team environment with excellent career advancement potential.
- Why this job: Make a real impact in biotech by working on innovative machine learning models.
- Qualifications: Experience with inference frameworks, strong programming skills, and cloud-native ML management.
The predicted salary is between 60000 - 80000 £ per year.
We are building the largest foundation models in biotech and applying them immediately to cure disease.
What You Will Do
- Develop and operate our inference platform, serving fleets of cutting‑edge machine learning models to scientific applications.
- Optimize our existing inference services.
- Solve core scaling limits, ensuring high-throughput performance and feature parity across our model serving stack.
- Contribute to core technical decisions on tooling and architectural design.
- Deliver high‑quality and well‑tested user‑focused features.
Qualifications
- Hands‑on experience deploying and scaling inference frameworks (e. g., KServe, Seldon) within Kubernetes, including a strong understanding of cloud‑native ML lifecycle management.
- Strong programming skills and a "reliability‑first" approach to software development.
- Experience developing, operating, and debugging large‑scale distributed systems, with a strong grasp of high‑throughput architectures.
- Understanding of modern infrastructure and Dev Ops practices (Infrastructure as Code, CI/CD pipelines, and comprehensive observability).
- Experience with Google Cloud Platform (GCP) (nice to have).
- Familiarity with workload scheduling, ML efficiency research, and hardware benchmarking.
- Familiarity with GPU‑aware infrastructure and specialized inference servers (e. g. Triton, TF Serving).
- #J-18808-Ljbffr
We think you need these skills to ace Software Engineer (Inference Platform), London in City of Westminster
Inference Frameworks (e.g., KServe, Seldon)
Kubernetes
Cloud-native ML Lifecycle Management
Programming Skills
Reliability-first Software Development
Large-scale Distributed Systems
High-throughput Architectures
