9 months ago
Remote, United KingdomMid Level
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, commercial leads, clients, and cross-functional teams to solve critical challenges.
- Lead technical scoping and architectural decisions to ensure project feasibility and impact.
- Define and implement standards for deploying machine learning at scale.
- Act as a technical advisor to customers and partners and translate complex ML concepts for stakeholders.
Requirements
- Understanding of the full machine learning lifecycle and experience operationalising models built with Scikit-learn, TensorFlow, or PyTorch.
- Strong Python skills and solid software engineering best practices.
- Hands-on experience with cloud platforms and infrastructure such as AWS, Azure, or GCP, including architecture and security.
- Experience using Docker and Kubernetes to build and manage applications at scale.
- Understanding of probability, statistics, and common machine learning techniques.
- Strong communication skills and the ability to advise technical and non-technical stakeholders.
- Eligibility for UK Security Clearance (SC) and willingness to work with defence customers.
Benefits
- Work 2 to 4 days per week on-site with defence customers, with possible travel throughout the UK.
- When not on client sites, work from the London office or remotely elsewhere within the UK.
- Part-time hours may be discussed.
- Inclusive recruitment practices and encouragement for applicants from all backgrounds.
Tech Stack
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