

Talent Connect Group (TCG)
ML Ops Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior ML Ops Engineer on a 4-6 month contract, paying £500-£550 per day. Must be UK-based with 5+ years of ML Ops experience, strong Azure knowledge, and skills in Python, Docker, and Kubernetes.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
550
-
🗓️ - Date
May 7, 2026
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Unknown
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Prometheus #Docker #Data Science #Datadog #Cloud #ML (Machine Learning) #Observability #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Azure cloud #Debugging #ML Ops (Machine Learning Operations) #Python #SQL (Structured Query Language) #Kubernetes #GitHub #Azure #Deployment #Scala #DevOps #Grafana #Monitoring
Role description
🚨 Hiring: Senior ML Ops Engineer | Contract Opportunity
Contract Length: 4/6Months
📅 Start Date: ASAP
Rate: 500/550 GBP per day (Inside ir35)
•
•
• Must be UK based
•
•
• We’re currently supporting a leading global healthcare provider that is transforming health outcomes through insurance, clinical services, and AI-driven care solutions.
They’re looking for a Senior ML Ops Engineer to help build and scale production-grade machine learning infrastructure within a modern cloud-native environment.
This is a high-impact opportunity to work at the intersection of AI, platform engineering, and cloud infrastructure for one of the most innovative organisations in the healthcare space.
🔹 What you’ll be doing:
• Deploying and scaling ML models in production
• Building reliable ML pipelines and deployment systems
• Working across Azure cloud, ML Studio, and Kubernetes environments
• Implementing model versioning, monitoring, observability, and governance
• Improving inference performance, resilience, and platform uptime
• Collaborating closely with Data Scientists, DevOps, and Engineering teams
🔹 Tech Stack:
Python | Azure | Azure ML Studio | ML Pipelines | Docker | Kubernetes | GitHub Actions | SQL
🔹 What they’re looking for:
• 5+ years of ML Ops experience
• Strong experience supporting production ML systems at scale
• Deep understanding of Azure cloud infrastructure
• Experience with monitoring/observability tooling (Prometheus, Grafana, Datadog, OpenTelemetry)
• Strong problem-solving and debugging skills
This is a fantastic opportunity for someone passionate about building scalable AI infrastructure and operationalising machine learning in a fast-moving, collaborative environment.
If interested, or if you know someone suitable, feel free to message me directly or email liam.moir-holland@tconnectgroup.com
#MLOps #MachineLearning #Azure #AI #HealthcareTech #Kubernetes #Python #CloudEngineering #Hiring #TechJobs #ArtificialIntelligence
🚨 Hiring: Senior ML Ops Engineer | Contract Opportunity
Contract Length: 4/6Months
📅 Start Date: ASAP
Rate: 500/550 GBP per day (Inside ir35)
•
•
• Must be UK based
•
•
• We’re currently supporting a leading global healthcare provider that is transforming health outcomes through insurance, clinical services, and AI-driven care solutions.
They’re looking for a Senior ML Ops Engineer to help build and scale production-grade machine learning infrastructure within a modern cloud-native environment.
This is a high-impact opportunity to work at the intersection of AI, platform engineering, and cloud infrastructure for one of the most innovative organisations in the healthcare space.
🔹 What you’ll be doing:
• Deploying and scaling ML models in production
• Building reliable ML pipelines and deployment systems
• Working across Azure cloud, ML Studio, and Kubernetes environments
• Implementing model versioning, monitoring, observability, and governance
• Improving inference performance, resilience, and platform uptime
• Collaborating closely with Data Scientists, DevOps, and Engineering teams
🔹 Tech Stack:
Python | Azure | Azure ML Studio | ML Pipelines | Docker | Kubernetes | GitHub Actions | SQL
🔹 What they’re looking for:
• 5+ years of ML Ops experience
• Strong experience supporting production ML systems at scale
• Deep understanding of Azure cloud infrastructure
• Experience with monitoring/observability tooling (Prometheus, Grafana, Datadog, OpenTelemetry)
• Strong problem-solving and debugging skills
This is a fantastic opportunity for someone passionate about building scalable AI infrastructure and operationalising machine learning in a fast-moving, collaborative environment.
If interested, or if you know someone suitable, feel free to message me directly or email liam.moir-holland@tconnectgroup.com
#MLOps #MachineLearning #Azure #AI #HealthcareTech #Kubernetes #Python #CloudEngineering #Hiring #TechJobs #ArtificialIntelligence






