

Harnham
Lead Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Machine Learning Engineer on a fixed-term contract (6+ months) with a pay rate of £90,000 to £95,000. Key skills include Python, SQL, Azure, Databricks, and experience in NLP and MLOps. Remote work is available.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
431
-
🗓️ - Date
May 20, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
England, United Kingdom
-
🧠 - Skills detailed
#SQL (Structured Query Language) #Data Science #Migration #AI (Artificial Intelligence) #Deployment #Azure #Python #Monitoring #Base #ML (Machine Learning) #NLP (Natural Language Processing) #Databricks #Scala #Cloud
Role description
Lead Machine Learning Engineer (FTC with strong chance of going permanent, flexible working hours) London or UK Remote, £90,000 to £95,000
This is a high impact opportunity to step into a senior, hands on ML Engineering role where you will lead the productionisation of machine learning solutions while shaping how ML is delivered at scale. Offered initially as a fixed term contract, the role is viewed as part of the long term structure with a strong likelihood of becoming permanent. You will also benefit from genuinely flexible working hours and a healthy work life balance.
The Company
They are a large, well established UK organisation with a strong reputation for quality, trust, and a client first mindset. Data and AI are a growing strategic priority, with clear senior sponsorship and increasing investment. The technology function has a strong software engineering culture and is modernising its cloud and data platform to support advanced analytics and AI use cases.
The Role
• Lead the ML Engineering capability, taking ownership of end to end delivery
• Design, build, and productionise scalable ML pipelines aligned to business priorities
• Work closely with Data Scientists to deploy, monitor, and improve models in production
• Own MLOps practices including deployment, monitoring, and model lifecycle management
• Deliver NLP and LLM driven solutions, including fine tuning and integration into live systems
• Contribute as a technical thought leader, setting best practice across ML engineering and data products
• Support cloud migration and platform development within an Azure and Databricks environment
Your Skills & Experience
• Strong commercial experience as an ML Engineer with a software engineering background
• Hands on experience delivering production ML systems end to end
• Strong Python and SQL skills within cloud based environments
• Experience working with Databricks and Azure
• Practical experience with NLP and LLM use cases, including fine tuning
• Good understanding of MLOps, CI/CD, and model monitoring
• Comfortable collaborating with Data Scientists and engaging with non technical stakeholders
What They Offer
• £90,000 to £95,000 base salary
• Fixed term contract with a high chance of conversion to permanent
• Annual bonus and comprehensive benefits package
• 35 hour working week with flexible start and finish times, including the option for a four day working week
• Primarily remote working with occasional office attendance if required
• A supportive, delivery focused environment with long term career progression
How to Apply
If you are a hands on ML Engineer looking to lead, scale, and productionise meaningful machine learning solutions, apply now for a confidential discussion.
Lead Machine Learning Engineer (FTC with strong chance of going permanent, flexible working hours) London or UK Remote, £90,000 to £95,000
This is a high impact opportunity to step into a senior, hands on ML Engineering role where you will lead the productionisation of machine learning solutions while shaping how ML is delivered at scale. Offered initially as a fixed term contract, the role is viewed as part of the long term structure with a strong likelihood of becoming permanent. You will also benefit from genuinely flexible working hours and a healthy work life balance.
The Company
They are a large, well established UK organisation with a strong reputation for quality, trust, and a client first mindset. Data and AI are a growing strategic priority, with clear senior sponsorship and increasing investment. The technology function has a strong software engineering culture and is modernising its cloud and data platform to support advanced analytics and AI use cases.
The Role
• Lead the ML Engineering capability, taking ownership of end to end delivery
• Design, build, and productionise scalable ML pipelines aligned to business priorities
• Work closely with Data Scientists to deploy, monitor, and improve models in production
• Own MLOps practices including deployment, monitoring, and model lifecycle management
• Deliver NLP and LLM driven solutions, including fine tuning and integration into live systems
• Contribute as a technical thought leader, setting best practice across ML engineering and data products
• Support cloud migration and platform development within an Azure and Databricks environment
Your Skills & Experience
• Strong commercial experience as an ML Engineer with a software engineering background
• Hands on experience delivering production ML systems end to end
• Strong Python and SQL skills within cloud based environments
• Experience working with Databricks and Azure
• Practical experience with NLP and LLM use cases, including fine tuning
• Good understanding of MLOps, CI/CD, and model monitoring
• Comfortable collaborating with Data Scientists and engaging with non technical stakeholders
What They Offer
• £90,000 to £95,000 base salary
• Fixed term contract with a high chance of conversion to permanent
• Annual bonus and comprehensive benefits package
• 35 hour working week with flexible start and finish times, including the option for a four day working week
• Primarily remote working with occasional office attendance if required
• A supportive, delivery focused environment with long term career progression
How to Apply
If you are a hands on ML Engineer looking to lead, scale, and productionise meaningful machine learning solutions, apply now for a confidential discussion.




