5 дней назад
Senior Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (AI): Leading the development and deployment of scalable, production-grade machine learning systems for government and other high-impact clients with an accent on ML infrastructure, software engineering, and responsible AI delivery. Focus on defining technical architectures, operationalising TensorFlow and PyTorch models, building cloud-native systems with Docker and Kubernetes, and advising clients on complex AI strategies.
Location: London, UK — hybrid; occasional on-site work with government clients may be required.
Company
develops and deploys responsible AI solutions for government, finance, retail, energy, life sciences, and defence clients.
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 and implement engineering standards for deploying machine learning at scale.
- Collaborate with engineers, data scientists, product managers, and commercial teams to solve client challenges.
- Act as a technical advisor to customers and partners, translating complex concepts into actionable strategies.
- Mentor junior engineers and help shape the engineering culture and technical depth of the team.
Requirements
- Significant experience across the full machine learning lifecycle and operationalising models built with TensorFlow or PyTorch.
- Deep software engineering expertise and strong Python skills.
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP, including architecture, security, and infrastructure.
- Extensive experience with Docker and Kubernetes for building and managing applications at scale.
- Strong ownership, autonomy, and communication skills when working with technical teams and senior non-technical stakeholders.
- Eligibility for UK Security Clearance (SC) may be required.
Culture & Benefits
- Work on responsible AI projects intended to create measurable public benefit.
- Collaborate across technical, product, delivery, and commercial disciplines.
- Inclusive environment that values diversity of thought and welcomes applicants from all backgrounds.
- Part-time hours may be discussed.
- AI tools may be used for research and interview preparation, but not to generate answers during live interviews.
Hiring process
- Talent Team screen — 30 minutes.
- Pair programming interview — 90 minutes.
- System design interview — 90 minutes.
- Commercial interview — 60 minutes.
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