Head of Artificial Intelligence

Global M; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading company in AI is looking for an experienced engineer to play a pivotal role in shaping their technical infrastructure. This hands-on leadership position involves building core data pipelines using Python, managing the MLOps lifecycle, and leading a dynamic engineering team in a fast-paced environment.

Qualifications

• 7+ years of hands-on experience in data science, software engineering, or MLOps.
• Proven ability to ship production-grade AI/ML systems.
• Deep expertise in Python and strong experience with cloud infrastructures.

Responsibilities

• Build core data infrastructure, pipelines, and ML systems from scratch using Python.
• Own the full MLOps lifecycle: model development, deployment, monitoring, and iteration.
• Recruit and lead a high-performance team of engineers.

Skills

Python

Data Engineering

Cloud Infrastructure

MLOps

Tools

GCP

AWS

Kubernetes

Job description

Get AI-powered advice on this job and more exclusive features.

We’re looking for an experienced and entrepreneurial engineer to join as one of our first hires.

This is a hands-on leadership role that combines deep data science and AI expertise, robust

backend/data infrastructure development, and the opportunity to shape the technical DNA of our company.

You’ll lead the buildout of our AI systems and platform, shape our MLOps strategy, and

ultimately grow and lead a world-class engineering team.

What You’ll Do;

• Build core data infrastructure, pipelines, and ML systems from scratch using Python (70+%), GCP, AWS, and Kubernetes.
• Research & deploy advanced AI/ML models tailored to real-world use cases
• Own the full MLOps lifecycle: model development, deployment, monitoring, and iteration.
• Recruit & lead a high-performance team of engineers and data scientists.
• Collaborate closely with the co-founders and advisors to align tech execution with business goals.
• Help define technical culture, standards, and processes as a founding team member.

What We're Looking For;

• 7+ years of hands-on experience in data science, software engineering, or MLOps.
• Proven ability to ship production-grade AI/ML systems.
• Deep expertise in Python, plus strong experience with data engineering, cloud infrastructure (GCP/AWS), and container orchestration (Kubernetes).
• Past experience in early-stage, high-growth tech companies—ideally in Defence Tech, AI infrastructure, or enterprise SaaS.
• Comfortable operating in high-ambiguity environments and making architecture decisions.
• Based in, or willing to relocate to, London or Europe.

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Business Consulting and Services

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