

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
-
🗓️ - Date
May 20, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
Fixed Term
-
🔒 - 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.
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.




