7 of 7 Contract MLOps Jobs in the UK excluding London

resolve incidents efficiently. Continuously improve ML Ops processes, tooling, and automation for efficiency and reliability. What Were Looking For Essential: 5+ years experience in MLOps, DevOps, or related roles. Strong knowledge of ML lifecycle management, deployment, monitoring, and model maintenance. Hands-on experience with Python (and ML frameworks), containerisation (Docker ...

architectures and tool invocation frameworks Experience with CCaaS platforms (Google CES/CXAS, Genesys, NICE, Amazon Connect) Strong understanding of AI/ML lifecycle, MLOps, and data governance Experience working with Tier-1 banks or large financial institutions Certifications Google Cloud Professional Data Engineer (Highly Preferred) Google Professional Cloud Architect ...

Large Language Models (LLMs) with proprietary OT data, maintenance manuals, and historian logs for intelligent operator assistance and automated root-cause analysis. Edge AI & MLOps: Operationalize lightweight machine learning models as containerized Azure IoT Edge modules to execute real-time anomaly detection, predictive maintenance, and closed-loop control tasks directly ...

Azure Machine Learning. Define data platform architecture, analytics pipelines, and enterprise integration patterns. Collaborate with engineering teams to implement CI/CD and MLOps best practices. Provide technical leadership, governance, and architectural guidance to stakeholders and delivery teams. Essential Skills Strong enterprise architecture experience across AWS, Azure, and hybrid/ ...

Orchestration Technologies Security Scanning and Secure Software Development Experience working within Air-Gapped or Highly Secure Environments AI/ML Model Integration or MLOps Experience Strong problem-solving and solution-focused mindset Responsibilities Develop and maintain secure CI/CD pipelines and automation frameworks. Support the integration and deployment ...

Establish end-to-end observability across AI systems, including monitoring, logging, tracing, and performance tracking (latency, cost, quality). Implement and manage LLMOps and MLOps practices, including CI/CD pipelines, model and prompt versioning, and deployment strategies. Embed security, governance, cost controls, and Responsible AI guardrails into the platform … management at scale. Hands-on experience with cloud platforms (AWS, Azure) and modern infrastructure (e.g., containers, Kubernetes, CI/CD pipelines). Experience with MLOps/LLMOps or supporting AI/ML systems in production environments. Solid understanding of security, governance, and cost management within cloud-based platforms. Experience working ...

Machine Learning Engineer, key skills: Strong hands-on experience with Snowflake ML Python expertise - Scikit-Learn, TensorFlow, Pytorch etc Strong understanding of model deployment MLOps - experienced in designing and implementing MLOps frameworks and best practices Strong stakeholder management AWS Sagemaker is a nice to have Experience with feature stores, model … registries and ML obserability tooling Machine Learning Engineer, Snowflake ML, Python, MLOps, Sagemaker Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven ...