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Senior Forward Deployed Engineer

Faculty· Engineering
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Hybrid (London)Full-timePosted 2mo ago

About the role

Senior Machine Learning Engineer leading development and deployment of cutting-edge AI systems for government and enterprise clients, focusing on scalable, production-grade ML software and infrastructure with strong ethical and operational standards.

Responsibilities

  • Leading technical scoping and architectural decisions for high-impact ML systems
  • Designing and building production-grade ML software, tools, and scalable infrastructure
  • Defining and implementing best practices and standards for deploying machine learning at scale across the business
  • Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
  • Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
  • Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth

Qualifications

  • You understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch
  • You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems
  • You have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure
  • You've extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale
  • You thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion
  • You communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders

Skills

Required:ML lifecycle and model operationalisationPythonCloud platformsDocker & KubernetesCommunication and stakeholder mgmt
Last updated Oct 21, 2026. Interested? Apply on the company site.
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