Machine Learning Engineer

• Partnering with stakeholders to scope problems and identify the right solution - whether leveraging existing AI tools or building custom workflows & solutions.
• Designing and implementing agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stack.
• Building and maintaining production ML pipelines and services for non-GenAI use cases e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches.
• Developing APIs and microservices for AI/ML solutions, ensuring security, scalability, and observability.
• Implementing CI/CD for ML services, writing infrastructure as code, and monitoring for model/data drift and performance.
• Establishing robust guardrails for safe AI usage, including prompt security, practical evaluation frameworks, and compliance with privacy regulations.
• Driving and evangelizing best practices, reusable templates, and documentation to scale AI/ML delivery across the business.
• Collaborating with data engineers, data scientists, front & back-end engineers, product managers, legal & infosec colleagues to deliver impactful solutions end-to-end.
• Line management of AI/ML Engineers setting goals, developing skills, and mentoring for high performance

Lead AI & ML Engineer

Machine Learning Engineer

Founding Product Designer

AI Specialist

Senior Machine Learning Researcher

Senior Applied AI Engineer