Lead ML Engineer - 12 Month FTC
Posted 3 days ago by Harnham
£90,000 Per year
Fixed-Term
Remote
West Midlands, England, United Kingdom
Summary: This role is for a Lead ML Engineer on a 12-month fixed-term contract, focusing on shaping machine learning delivery within a large professional services organization. The position requires hands-on involvement in ML Engineering, including designing and implementing ML pipelines and solutions. The successful candidate will lead the ML Engineering capability while contributing to the broader data and AI strategy. This opportunity is remote but limited to candidates based in the UK.
Key Responsibilities:
- Leading the ML Engineering capability and contributing to the wider data and AI strategy.
- Designing, building, and productionising ML pipelines aligned to business goals.
- Delivering NLP and LLM-driven solutions, including fine-tuning and deployment.
- Implementing strong MLOps practices across model training, deployment, and monitoring.
- Working closely with Data Scientists to support, maintain, and improve models in production.
- Building APIs and data products that enable ML solutions to be consumed across the business.
Key Skills:
- Commercial experience delivering ML solutions end-to-end.
- Strong Python and SQL skills, with experience building data and ML pipelines.
- Hands-on experience with Databricks and Azure.
- Practical experience with NLP and LLMs, including fine-tuning and applied use cases.
- Solid understanding of MLOps, CI/CD for ML, and production model monitoring.
- Experience with stakeholders and translating business problems into technical solutions.
- Experience building or integrating APIs, such as with FastAPI, is beneficial.
Salary (Rate): £90,000.00/year
City: West Midlands
Country: United Kingdom
Working Arrangements: remote
IR35 Status: fixed-term
Seniority Level: Senior
Industry: IT
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation.
THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms.
THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following:
- Leading the ML Engineering capability and contributing to the wider data and AI strategy.
- Designing, building, and productionising ML pipelines aligned to business goals.
- Delivering NLP and LLM-driven solutions, including fine-tuning and deployment.
- Implementing strong MLOps practices across model training, deployment, and monitoring.
- Working closely with Data Scientists to support, maintain, and improve models in production.
- Building APIs and data products that enable ML solutions to be consumed across the business.
SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience:
- Commercial experience delivering ML solutions end-to-end.
- Strong Python and SQL skills, with experience building data and ML pipelines.
- Hands-on experience with Databricks and Azure.
- Practical experience with NLP and LLMs, including fine-tuning and applied use cases.
- Solid understanding of MLOps, CI/CD for ML, and production model monitoring.
- Exeperience with stakeholders and translating business problems into technical solutions.
- Experience building or integrating APIs, such as with FastAPI, is beneficial.
BENEFITS The successful Lead ML Engineer will receive the following benefits:
Salary between £80,000 - £90,000 - depending on experience
HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.