About us
We are a UK and India-based technology consultancy delivering IT strategy, architecture, and programme management for Tier 1 and Tier 2 enterprises across Spacetech, Telecommunications, Retail, Financial services and Utilities. Our clients include global satellite operators and major UK telecoms and retail brands, and our work is built on industry standards including TM Forum ODA, MEF, TOGAF, and ARTS. This role sits on our India delivery team, working directly with UK-based enterprise clients on live production systems.
Role summary
We're looking for an MLOps Engineer to build and operate the infrastructure that takes UK clients' machine learning models from notebook to reliable production service — training pipelines, model registries, deployment automation, and monitoring. This is an infrastructure and platform role: you'll operationalise models that data science teams build, working from the same DevOps toolset and delivery model already proven on our infrastructure engagements, not a data science or research role.
Key responsibilities




• Design and build ML training and deployment pipelines (data ingestion through to served model endpoint), with full CI/CD automation.
• Own model registry and versioning practices (MLflow, SageMaker Model Registry, or equivalent) so every production model is traceable to its training run and data.
• Containerise and deploy models to production using Kubernetes, ensuring scalable, cost-productive inference serving (batch and real-time).
• Build monitoring and alerting for model performance in production — data drift, prediction drift, latency, and resource utilisation — not just infrastructure uptime.
• Automate retraining triggers and rollback procedures so degraded models are caught and addressed without manual intervention.
• Manage infrastructure-as-code for ML platforms (Terraform) across the cloud provider the client standardises on (AWS, Azure, or GCP).
• Partner directly with client-side data science teams to trans

📌 MLOps Engineer — Remote (India)
🏢 dsk Solutions
📍 India