Harnham

Lead ML Engineer - 12 Month FTC

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead ML Engineer on a 12-month FTC, offering £80,000 - £90,000. It is remote (UK only) and requires strong Python, SQL, and MLOps skills, with experience in NLP, LLMs, and Azure.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
409
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🗓️ - Date
May 20, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
West Midlands, England, United Kingdom
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🧠 - Skills detailed
#SQL (Structured Query Language) #Data Science #AI (Artificial Intelligence) #Deployment #Azure #FastAPI #Python #Monitoring #ML (Machine Learning) #NLP (Natural Language Processing) #Databricks #Strategy
Role description
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.