Head of AI Engineering

Location: Hybrid – London-based (Flexible - ±3 days in the London office – 180 Strand, Temple)

Who we are: BuildPrompt is a cutting-edge startup working with some of the most well-known names across the built environment. We're revolutionising how industries interact with their data through advanced machine learning and AI-powered insights. Our clients range from international airports to mega rail projects and global real estate portfolios. We're seeking an exceptional ML engineering leader to drive the technical evolution of our AI platform.

Role Summary: As Head of AI Engineering at BuildPrompt, you'll lead the technical development and optimisation of our AI/ML systems. Your focus will be on enhancing our RAG (Retrieval-Augmented Generation) pipeline, fine-tuning large language models, and building scalable ML solutions that transform complex enterprise data into actionable insights.

Key Responsibilities:

Machine Learning Engineering:

• Architect and optimise production-grade RAG pipelines
• Design and implement sophisticated ML systems for information retrieval and generation
• Lead model selection, fine-tuning, and evaluation processes
• Develop metrics and monitoring systems for ML model performance
• Optimise model inference and deployment pipelines

Technical Leadership:

• Lead a team of ML engineers in developing and deploying AI solutions
• Design and implement ML infrastructure and data pipelines
• Establish best practises for ML development, testing, and deployment
• Guide architectural decisions for AI/ML systems
• Implement ML ops practises for model monitoring and maintenance

Product Development:

• Work with product teams to translate business requirements into ML solutions
• Define technical specifications for new AI features
• Lead proof-of-concept development for new ML capabilities
• Optimise model performance for production environments

Research & Innovation:

• Drive research into cutting-edge ML techniques, particularly in RAG and LLMs
• Evaluate new ML models and approaches for potential implementation
• Develop novel solutions for complex information retrieval challenges
• Create frameworks for systematic model evaluation and improvement

Required Experience & Skills:

• Masters/PhD in Computer Science, Machine Learning, or related field
• 5+ years of ML engineering experience, with focus on production systems
• Deep expertise in building and optimising RAG systems
• Extensive experience with LLMs and fine-tuning techniques
• Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow)
• Experience with vector databases and embedding models
• Track record of deploying ML systems at scale

Technical Skills:

• Advanced knowledge of ML ops and model deployment
• Expertise in information retrieval and natural language processing
• Experience with distributed systems and cloud computing
• Proficiency in ML infrastructure and pipeline development
• Understanding of ML monitoring and evaluation metrics

Package:

• Competitive salary
• Share options
• Flexible working
• Learning and development budget

Why BuildPrompt? Join us in pushing the boundaries of what's possible with ML in the built environment. You'll work with cutting-edge technology, solve complex technical challenges, and have the opportunity to shape the future of AI applications in enterprise settings. We're backed by leading investors and growing rapidly.

Ready to lead ML innovation? If you're passionate about building sophisticated ML systems and want to work at the forefront of AI technology, we want to hear from you.