AI ENGINEERING LEAD – design & build end-to-end AI SOLUTIONS for leading global Wellness & HealthTech Business – LONDON, £120K – £130K
hace 5 días
City Of London
This is an exceptional opportunity for an ARTIFICIAL INTELLIGENCE ENGINEERING LEAD (AI Engineering lead) - with advanced Quantitative Analytical skills - to design, build, and run end-to-end AI Solutions for the world’s leading Wellness / HealthTech Business. Based in LONDON, this AI ENGINEERING LEAD role offers a salary of £120K – £130K THE COMPANY: This globally recognised brand is a HealthTech & Wellness company that blends smart technology and world-class facilities into transformative wellbeing experiences. They are a next-generation HealthTech brand using intelligent tools, digital platforms, and science-backed training environments to optimise how people move, recover, and live. Their digital innovation journey is in full-swing, and now at the point where AI INNOVATION will result in an even better experience for their >1 million consumers. THE ROLE: The company is scaling AI safely, responsibly, and at speed across South Africa, the UK, Italy, Australia, Singapore, Thailand, and Qatar. They are building a world-class team of AI Engineers who can design, build, and run AI solutions that millions of consumers use every day. This role is your chance to lead that journey. As Lead AI Engineer, you’ll own entire problem spaces, lead mission-critical AI initiatives, and shape how AI is delivered across the organisation. You’ll sit at the intersection of software engineering, data engineering, machine learning, and quantitative analytics, working end-to-end from problem framing through to deployment, monitoring, and scaling across multiple countries. This is a hands-on technical leadership role: you’ll build, mentor, architect, influence, and set the bar for how AI should be done in this global consumer business. WHAT YOU’LL DO: Own and lead AI across an entire domain: • You’ll contribute patterns, templates, starter kits, documentation, playbooks, internal demos, training sessions, and hiring - raising the bar for the entire group. REQUIRED SKILLS: 8+ years in applied ML, data science, quantitative analytics, software engineering with meaningful AI/ML responsibility. A track record of shipping production AI solutions end-to-end. Experience leading complex AI initiatives and other engineers. Strong background in customer analytics, personalisation, ops optimisation, marketing optimisation, conversational AI, or related domains. Expert Python and SQL. Strong system design and engineering fundamentals. Hands-on with ML frameworks: sklearn, XGBoost, PyTorch, TensorFlow, LightGBM. Experience with LLMs, prompt design, RAG, evaluation frameworks. Familiarity with data engineering and modern MLOps (registries, pipelines, CI/CD, monitoring). Cloud fluency. Comfortable switching between discovery and delivery. Strong appreciation for privacy, governance, and responsible AI.