Team Lead, AI & Machine Learning

The role

You will lead, mentor, and grow a pod of AI Engineers while designing, deploying, and evaluating AI systems. You will own project delivery quality, account growth, and team performance as a technical architect and builder on production workloads.

What you will do

• Design, deploy, and operate production-grade AI systems including agentic workflows, RAG, and foundation model fine-tuning
• Build evaluation frameworks and measure system performance
• Build production pipelines, serving architectures, and monitoring for AI and ML workloads on client platforms
• Use coding and research agents in delivery and build custom agents for workflows
• Lead, mentor, and grow a pod of MLEs and Data Scientists
• Manage hiring, career development, and performance management
• Manage pod utilization and drive team certifications
• Set and uphold technical standards and conduct architecture and code reviews
• Build client relationships and translate business challenges into AI system designs
• Own delivery quality, timelines, and scope discipline

Required qualifications

• 7+ years of experience in machine learning, data science, or applied AI
• At least 2+ years leading technical teams or projects end-to-end
• Strong software engineering foundations across the modern AI stack
• Experience with classical ML techniques (TensorFlow, PyTorch, scikit-learn), forecasting, and feature engineering
• Experience with RAG, tool-calling, orchestration, guardrails, LLM-based agentic architectures, and fine-tuning
• Experience with production deployment on cloud platforms
• Track record of defining, measuring, and proving system quality with metrics
• Experience in client-facing consulting or pre-sales environments
• Exceptional verbal and written communication skills

Nice to have

• Google Cloud preferred: Vertex AI, BigQuery ML, Gemini

Benefits

• 25 days holiday plus bank holidays
• Private health insurance (Vitality Health) and Smart Health Services
• 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym)
• WFH allowance
• Access to platforms like Udemy
• Pension (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)
• Life Insurance (3 x your base salary!)
• Income Protection (up to 75% of base salary, up to 2 years)
• Cycle to Work Scheme
• Tech Scheme

About the company

Datatonic is Google Cloud's premier AI and data partner, specializing in designing, building, and operating production AI systems.