Head of Engineering (Machine Learning & AI Platform)

Head of AI/ML Platform & Engineering

? UK / Remote | ? Global Impact | ? Cutting-edge AI & Data Platform

 

We are partnering with a global leader in insights, analytics, and technology to appoint a  Head of AI/ML Platform & Engineering.  This is a rare opportunity to shape and scale a next-generation platform at the intersection of  generative AI, machine learning, and privacy-first data systems.

 

The Opportunity

You’ll be joining a highly innovative, cross-disciplinary team building a  world-class synthetic data platform  used at global scale. This platform is central to driving future-facing capabilities such as:

• AI-powered data augmentation tools
• “Digital twin” models simulating real-world behaviours
• Secure, compliant frameworks for synthetic data generation

 

This is a unique chance to lead engineering for a product that blends  scientific rigour with real-world impact, collaborating with leading academic partners and internal experts across data science, engineering, and research.

 

The Role

As Head of Platform & Engineering, you’ll define the technical direction and lead the delivery of a  secure, scalable, enterprise-grade platform  used globally.

 

You will:

• Set the engineering vision and architecture, ensuring the platform scales to support complex, compute-heavy AI workloads
• Build and lead a high-performing team  across software, data, and MLOps engineering
• Bridge research and production, translating advanced ML into robust, real-world systems
• Establish best-in-class engineering standards, from SDLC maturity to operational excellence
• Embed privacy, security, and governance  into every layer of the platform
• Enable self-serve capabilities, empowering teams to safely generate and experiment with synthetic data
• Optimise cloud infrastructure and costs, balancing performance with efficiency

 

Technology Environment

You’ll operate within a modern, cloud-native ecosystem including:

• Cloud & Infrastructure:  GCP, Kubernetes (GKE), Docker, Terraform/Pulumi
• MLOps & AI Platforms:  Vertex AI, Kubeflow, model registries, ML CI/CD
• Backend:  Python, FastAPI, async frameworks (Celery/RabbitMQ)
• Data:  BigQuery, distributed processing, vector databases
• AI/ML:  PyTorch, LLMs, generative models

 

What We’re Looking For

Technical Leadership

• Proven experience scaling and leading cross-functional engineering teams
• Strong background in  distributed systems and cloud-native architecture
• Expertise in building  highly available, scalable platforms

 

MLOps / GenAI Experience

• Experience delivering  ML platforms, pipelines, and production models
• Understanding of  LLM deployment, GPU workloads, and vector databases
• Familiarity with the challenges of productionising AI

 

Commercial & Stakeholder Skills

• Ability to align engineering with business and product strategy
• Strong collaboration across research, product, and executive teams
• Knowledge of  enterprise security, governance, and compliance frameworks

 

Why Apply?

• Shape a  greenfield, high-impact platform  at scale
• Work at the forefront of  synthetic data and generative AI innovation
• Collaborate with top-tier talent across engineering and research
• Influence how global organisations generate and use data in the future

 

If you're a hands on, visionary engineering leader with a passion for AI platforms and building high-performing teams, we’d love to hear from you.

 

? Apply now or get in touch for a confidential discussion.