14 of 14 Contract MLOps Jobs in the UK

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 ...

ensure solutions are secure, ethical, and fit for purpose. Working across multidisciplinary teams, you'll drive innovation in areas like DevOps, platform engineering, and MLOps - balancing experimentation with governance and risk. What you'll be doing: Leading architecture, design, and delivery of digital & AI solutions Driving innovation across AI, analytics ...

monitoring, supportability and reliability concerns in production - Experience using infrastructure-as-code tools such as Terraform - Confidence taking responsibility for live systems and outcomes MLOps experience is highly attractive, particularly operating AI or machine learning models in production. The focus is on operating models, not training them. In Return ...

operate in production-focused environments where platform usability and operational excellence matter. The work sits at the intersection of platform engineering, DevOps and MLOps, with close collaboration across data science, ML engineering, software engineering and architecture click apply for full job details ...

MLOps Engineer Location: Remote (Occasional travel to their London office) Contract: Inside IR35 Day rate: Up to £800 per day Duration: 6 months Start date: ASAP Key words: Machine Learning, Python, containerization (Docker), CI/CD, Azure As part of our Client's AI Engineering team, you will … Take ownership of the ML performance, monitoring, availability, and security - Define drift, unexpected-output and AI incident playbooks with clear ownership and evidence. - Align MLOps processes with data governance, AppSec, logging, monitoring and enterprise GRC expectations. - Support AI-specific control closure across NIST-style controls ...

application, workflow, release and logging remediation within a security assessment remediation programme. The successful contractors will work with AppSec/DevSecOps, QA automation, MLOps, Data/AI Governance, ServiceNow/Jira specialists and the Security Remediation Lead to implement application-level changes that close controls and generate usable evidence. This ...

tools to guarantee system health, security, and compliance. Collaborate with data scientists and product engineering teams to map out data ingestion pipelines and support MLOps initiatives. Contribute to architecture blueprints and participate in peer code reviews to maintain high engineering standards. As a Data Engineer you will have the following …/Snowflake Orchestration: Airflow Backend: Python, SQL, Shell Languages: Scala/Java DevOps: Terraform, Docker, Kubernetes Observability: Monte Carlo BI: Looker AI/ML: MLOps London | 12 Months Contract |£400 a day Inside IR35 If you want to work in an organisation where engineering quality is deeply respected, this ...

operate in production-focused environments where platform usability and operational excellence matter. The work sits at the intersection of platform engineering, DevOps and MLOps, with close collaboration across data science, ML engineering, software engineering and architecture. The role requires comfort working 'in the weeds' - understanding how platforms behave under real … guardrails that balance flexibility for users with reliability, security and governance. What You'll Be Doing - Provide technical leadership across platform engineering, DevOps, and MLOps activities - Design, build, and operate a Kubernetes-based MLOps platform that supports the full model lifecycle - Implement and operate MLOps tooling and frameworks enabling teams ...

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 ...