Lead ML Engineer - 12 Month FTC
Lead Machine Learning Engineer
UK - Remote - 12-month FTC
The Company
They are a long-standing professional services organisation operating at national scale, supporting over a million clients across a wide range of specialist services. With a heritage spanning more than a century, they combine deep domain expertise with a modern, client-first approach. Recently recognised for the quality of their work, they are now accelerating investment in data, AI and cloud technology to drive the next phase of innovation.
The Role You will join an established data and engineering function and act as the founding specialist for machine learning and GenAI. Working closely with data engineering, analytics, QA and product, you will build the foundations for scalable ML and AI use cases across the organisation.
Key responsibilities include:
- Owning and delivering end-to-end ML and GenAI solutions, from data preparation through to production deployment.
- Designing and building robust ML pipelines, CI/CD processes and MLOps frameworks.
- Leading GenAI initiatives such as document processing, LLM fine-tuning, prompt engineering and orchestration using modern frameworks.
- Organising and processing large, complex datasets to enable AI and ML use cases.
- Acting as the go-to ML expert for the wider team, influencing best practice and future capability.
- Working closely with stakeholders and product to clearly articulate recommendations and technical trade-offs.
- Helping shape the long-term ML roadmap as investment in this area scales.
Your Skills & Experience
- Strong commercial experience as a Machine Learning Engineer or Software Engineer operating in an ML-focused environment.
- Solid grounding in machine learning concepts alongside strong data engineering capability.
- Proven experience building backend systems for ML, including CI/CD pipelines and MLOps.
- Hands-on experience with GenAI, including LLM fine-tuning, prompt engineering and frameworks such as LangChain or LangGraph.
- Experience working in cloud-based data and ML environments, ideally with Azure and Databricks.
- Strong Python skills and experience deploying models into production environments.
- Confident communicator, comfortable engaging directly with stakeholders and working in a product-led team.
- Background in software engineering, with an interest in owning and scaling ML capability.
What They Offer
- Competitive salary and benefits package.
- A founding role with genuine ownership and influence over ML and GenAI strategy.
- Significant investment and senior buy-in for AI initiatives.
- Clear opportunity to move into a permanent position and take on leadership responsibilities as the team grows.
- Collaborative, confident culture with direct access to stakeholders and decision-makers.
- Hybrid working from a London office.
How to Apply If you are excited by the opportunity to build and own ML and GenAI capability in a highly respected organisation, apply now to learn more.