Head of Engineering (AI)

Description

• Build systems that integrate AI into key parts of our stack, such as:
• Design the infrastructure for deploying and maintaining ML systems in production (e.g., MLOps, CI/CD for ML, model versioning)
• Forecasting customer demand and renewable generation
• Productionize ML models, ensuring scalability, performance, and observability
• Build and lead a high-performing team of AI engineers
• Own the AI engineering roadmap and lead the development of AI-first features
• Work closely with product and engineering leadership to identify high-impact AI opportunities

Requirements

• Background in MLOps or AI infrastructure at scale
• Experience with large language models (LLMs), RAG, or generative AI in production
• Understanding of modern ML tooling and frameworks (e.g., PyTorch, TensorFlow, MLflow, AWS SageMaker)
• Strong software engineering background with 5+ years of experience, including at least 2 years leading AI/ML engineering teams
• Dynamic pricing and energy trading algorithms
• Clear communication and an ability to prioritize for both experimentation and reliability
• Familiarity with optimization, time series modeling, or forecasting
• Deep experience deploying ML models into production environments
• Proficiency in designing scalable data pipelines and real-time inference systems
• Strong cross-functional collaboration skills, particularly with data science and product teams
• Intelligent alerts and personalized customer features

Benefits

• Fully expensed tech to match your needs
• Biannual bonus scheme
• Paid annual leave
• Breakfast and dinner allowance for office based employees
• Competitive salary and an equity sign-on bonus

Training + Development

Interview process

Visa Sponsorship

Security clearance