3 дня назад
Senior Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI): Leading the development and deployment of secure, scalable machine learning systems and infrastructure for national security, AI safety, and other high-stakes client missions with an accent on LLM applications, cloud architecture, and production-grade ML operations. Focus on architecting AI systems, evaluating frontier models, implementing cybersecurity and deployment standards, and mentoring engineers.
Location: London, United Kingdom
Company
develops and deploys responsible AI solutions for government, finance, retail, energy, life sciences, defence, and frontier technology organisations.
What you will do
- Lead technical scoping and architectural decisions for high-impact machine learning systems and frontier AI model capability testing.
- Design, build, and deploy production-grade ML software, tools, and scalable infrastructure.
- Define engineering standards and best practices for deploying machine learning systems at scale.
- Collaborate with engineers, data scientists, product managers, commercial teams, clients, partners, and frontier labs.
- Advise customers on complex technical concepts and translate them into actionable strategies.
- Mentor junior engineers and contribute to the engineering culture and technical direction.
Requirements
- Significant experience building and deploying secure, scalable LLM applications, including multi-agent harness tooling and AI safety evaluation procedures.
- Strong understanding of the full machine learning lifecycle and experience operationalising models with TensorFlow or PyTorch.
- Deep software engineering expertise and strong Python skills.
- Hands-on experience with AWS, Azure, or GCP, including cloud architecture, infrastructure management, and end-to-end cybersecurity.
- Extensive experience with Docker and Kubernetes for building and managing applications at scale.
- Strong communication skills, ownership, autonomy, and experience guiding technical teams and senior non-technical stakeholders.
Culture & Benefits
- Work on high-stakes AI safety and national security missions focused on secure, trustworthy, and responsible AI.
- Collaborate with government organisations, major technology companies, and frontier AI labs.
- Join a diverse, intellectually curious team focused on measurable positive impact.
- 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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