Lead – AI & Machine Learning
📍 Hybrid – UK-based
💷 Up to £120,000 + bonus + equity potential
🕓 Full time
A scaling B2B SaaS company is seeking a hands-on AI & Machine Learning Lead to drive the development of cutting-edge NLP and GenAI solutions powering responsible, explainable enterprise software. This is a rare opportunity to lead the AI roadmap while remaining technically deep, owning both architecture and delivery.
The Role
This is an 80% hands-on, 20% leadership role. You'll lead the development of proprietary ML systems (including LLMs), scale MLOps pipelines, and ensure responsible AI practices. Working closely with Product, Engineering, and senior leadership, you’ll translate strategic goals into robust, production-ready AI solutions.
Responsibilities
* Architect and deliver end-to-end ML pipelines, including model design, deployment, monitoring, and optimisation
* Build and scale NLP/LLM solutions using semantic search, embeddings, and unstructured data methods
* Define and implement MLOps frameworks for versioning, observability, drift detection, and reproducibility
* Lead responsible AI efforts around fairness, explainability, and bias mitigation
* Mentor and support a small ML team while maintaining strong hands-on contribution
* Collaborate cross-functionally to align ML solutions with real product and user impact
* Communicate AI strategy to internal teams, external partners, and investors
Requirements
* Proven track record building and deploying ML/AI solutions in production (ideally B2B SaaS)
* Deep experience with NLP, GenAI, LLMs, and handling unstructured data at scale
* Strong MLOps background, including CI/CD, monitoring, and model lifecycle management
* Passion for responsible AI with experience in fairness, bias detection, and explainability
* Excellent stakeholder engagement and communication skills
* Experience mentoring engineers or leading small ML teams
* Startup or scaling environment experience preferred
Bonus Skills
* Experience communicating AI value to sales or customers
* Background in enterprise software or regulated domains
* Public speaking, writing, or thought leadership in ML/AI
Why Apply
* Own and shape the ML architecture in a high-impact role
* Work on meaningful, socially responsible AI applications
* Join a mission-led team with strong values and supportive leadership
* Competitive pay, equity, and career growth in a fast-scaling company