Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Leading the development and deployment of production-grade AI systems for government and commercial clients with an accent on ML operationalisation, scalable infrastructure, and responsible AI standards. Focus on designing architectures for high-impact ML systems, building reliable cloud-native platforms, and translating complex technical concepts into actionable client strategies.

Location: London, UK; hybrid working with occasional onsite work for clients. UK Developed Vetting (DV) eligibility may be required.

Company

AI consultancy delivering responsible, human-centric AI solutions across national security, government, finance, retail, energy, life sciences, and defence.

What you will do

• Lead technical scoping and architectural decisions for high-impact machine learning systems.
• Design and build production-grade ML software, tools, and scalable infrastructure.
• Define engineering standards and best practices for deploying machine learning at scale.
• Collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges.
• Advise customers and partners on complex AI and machine learning strategies.
• Mentor junior engineers and contribute to the engineering culture and technical direction.

Requirements

• Significant experience across the full machine learning lifecycle, including operationalising models built with TensorFlow or PyTorch.
• Deep software engineering expertise and strong Python skills focused on robust, reusable systems.
• Hands-on experience with AWS, Azure, or GCP, including cloud architecture, security, and infrastructure.
• Extensive experience with Docker and Kubernetes for building and managing applications at scale.
• Strong ownership, autonomy, and delivery skills in fast-paced, high-growth environments.
• Excellent communication skills for guiding technical teams and senior non-technical stakeholders; eligibility for UK Developed Vetting may be required.

Culture & Benefits

• Hybrid working and flexible working arrangements.
• Unlimited annual leave policy.
• Private healthcare and dental coverage.
• Enhanced parental leave and family-friendly flexibility.
• Sanctus coaching.
• Inclusive culture focused on intellectual curiosity, diversity, responsible technology, and measurable positive impact.

Hiring process

• Talent Team screen lasting 30 minutes.
• Pair programming interview and system design interview, each lasting 90 minutes.
• Commercial interview lasting 60 minutes.