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
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💰 - Day rate
550
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🗓️ - Date
May 7, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - 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