4 of 4 MLOps Jobs in Edinburgh

MLOps Engineer, you will play a pivotal role in designing, building, and operating the platforms, pipelines, and infrastructure that enable machine learning solutions to move reliably from experimentation to production. This is a blended role combining MLOps, Data Engineering, and DevOps, well-suited to an engineer who enjoys working across … environment management, and deployment using Terraform, ARM templates, or Ansible. Essential Technical Skills: Programming: Python, SQL, PySpark, Bash ML Frameworks: TensorFlow, PyTorch, Scikit-learn MLOps & Model Management: MLflow, Model versioning, CI/CD Cloud & Big Data: Databricks, Databricks APIs, MCP, Blob Storage Data Engineering: ETL/ELT pipelines, DLT, Delta ...

design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning … data preprocessing pipelines Monitoring, optimising and maintaining deployed models for performance, cost and reliability Implementing explainability, fairness and bias-mitigation strategies Collaborating on MLOps pipelines, CI/CD workflows and production deployments Mentoring junior engineers and promoting best practices across the team Staying current with advances ...

LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus. ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business ...

leading data consultancy in Edinburgh is seeking an experienced MLOps Engineer to design, build, and operate ML infrastructures. This role involves managing the lifecycle of ML models and collaborating with dynamic project teams to deliver scalable solutions. The ideal candidate should have experience with tools like MLflow, Python, and cloud ...