

Explore Group
ML Ops Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead ML Ops Engineer on a contract basis, UK remote, outside IR35. Key skills include AWS SageMaker, Snowflake, GitLab, and MLflow. Requires senior consulting experience in the iGaming industry and strong communication abilities.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 10, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Automation #AI (Artificial Intelligence) #MLflow #ML Ops (Machine Learning Operations) #GitLab #Snowflake #AWS SageMaker #SageMaker #Strategy #ML (Machine Learning) #Consulting #AWS (Amazon Web Services)
Role description
Lead ML Ops Specialist
•
• UK Remote
• Contract
• Outside IR35
•
• I’m supporting an organisation in the iGaming space as they build and launch a completely new AI and Automation platform across their UK and International estate. They operate multiple brands across two platforms and are now integrating everything under one AI driven strategy — and they need a Lead ML Ops specialist to help drive it.
This is a senior, hands on consulting role shaping how Machine Learning is deployed, scaled and monitored across the business. You’ll work directly with their AI Ops team to define the platform, establish the pipelines, and coach less experienced engineers on best practice.
The Role
• Lead ML Ops delivery at SFIA level six or seven
• Build and scale end to end ML platform capability
• Establish ML infrastructure, CI CD for ML, and orchestration workflows
• Operate across a complex multi brand estate with high stakeholder visibility
• Coach teams, guide decisions, and bring structure to an ambiguous environment
Key Skills
• AWS SageMaker (essential)
• Snowflake
• GitLab
• MLflow
• AWS Bedrock (bonus)
Soft Skills
• Thrives in ambiguity
• Able to navigate political landscapes and conflicting priorities
• Strong communicator with the ability to explain ML concepts to non-specialists
• Coaching mindset
Lead ML Ops Specialist
•
• UK Remote
• Contract
• Outside IR35
•
• I’m supporting an organisation in the iGaming space as they build and launch a completely new AI and Automation platform across their UK and International estate. They operate multiple brands across two platforms and are now integrating everything under one AI driven strategy — and they need a Lead ML Ops specialist to help drive it.
This is a senior, hands on consulting role shaping how Machine Learning is deployed, scaled and monitored across the business. You’ll work directly with their AI Ops team to define the platform, establish the pipelines, and coach less experienced engineers on best practice.
The Role
• Lead ML Ops delivery at SFIA level six or seven
• Build and scale end to end ML platform capability
• Establish ML infrastructure, CI CD for ML, and orchestration workflows
• Operate across a complex multi brand estate with high stakeholder visibility
• Coach teams, guide decisions, and bring structure to an ambiguous environment
Key Skills
• AWS SageMaker (essential)
• Snowflake
• GitLab
• MLflow
• AWS Bedrock (bonus)
Soft Skills
• Thrives in ambiguity
• Able to navigate political landscapes and conflicting priorities
• Strong communicator with the ability to explain ML concepts to non-specialists
• Coaching mindset






