20 hours ago
London, United KingdomSenior
Responsibilities
- Build and deploy production-grade machine learning software, tools, and infrastructure.
- Create reusable and scalable solutions that accelerate delivery of ML systems.
- Collaborate with engineers, data scientists, and commercial leads to solve client challenges.
- Lead technical scoping and architectural decisions for project feasibility and impact.
- Define and implement standards for deploying machine learning at scale.
- Advise customers and partners on technical topics and translate complex ML concepts for stakeholders.
Requirements
- Understand the full machine learning lifecycle and have experience operationalizing models built with scikit-learn, TensorFlow, or PyTorch.
- Demonstrate strong Python skills and solid software engineering best practices.
- Have hands-on experience with AWS, Azure, or GCP, including architecture and security.
- Have experience with Docker and Kubernetes for building and managing applications at scale.
- Be comfortable with probability, statistics, and common machine learning techniques.
- Communicate effectively with technical teams and non-technical stakeholders.
- Be able to work autonomously in a fast-paced environment and own scope through solution delivery.
Benefits
- The role may require eligibility for UK Developed Vetting and occasional onsite work with government clients.
- Part-time hours may be discussed.
- Applicants from all backgrounds are encouraged to apply.
- AI may be used for research and interview preparation, but not to generate answers during live interviews; interview note-taking uses Metaview, with an opt-out available.
Tech Stack
Categories
