6 of 6 Contract MLOps Jobs in England

technical stakeholders. Desirable Experience The following would be advantageous: Multimodal AI and reasoning. Edge or offline AI deployments. Kubernetes, particularly EKS or OpenShift. MLOps, including model evaluation, monitoring and reproducibility. Observability for agentic AI systems, including model performance, agent behaviour and drift. Agent orchestration and inter-agent communication protocols such ...

technical stakeholders. Desirable Experience The following would be advantageous: Multimodal AI and reasoning. Edge or offline AI deployments. Kubernetes, particularly EKS or OpenShift. MLOps, including model evaluation, monitoring and reproducibility. Observability for agentic AI systems, including model performance, agent behaviour and drift. Agent orchestration and inter-agent communication protocols such ...

embed these controls into enterprise architectures. Expertise in at least one major cloud platform (AWS or Azure), together with strong software engineering, security architecture, MLOps, and LLMOps knowledge. Next steps Computershare are dedicated to providing you with the opportunity to succeed on your own merits, starting from the application process. ...

enterprise cloud migrations and multi-region deployments. Exposure to SRE concepts. Experience with GitHub Actions, Jenkins, GitLab CI/CD or Bamboo. Knowledge of MLOps, Databricks, Snowflake, Kafka/Event Streaming, Ansible or Chef. Knowledge of FinOps and Azure cost optimisation. Experience working within BFSI environments with security and compliance ...

/ML lifecycles **Strong experience with data quality, metadata management, master data management, knowledge graphs, or data products **Familiarity with Generative AI, MLOps, AI governance, model risk management, and responsible AI frameworks Bonus: **Background in financial services, risk, ratings, or regulated data environments Immediate start date. If interested, please apply ...

image based AI models, density and object-based identification o Experience with AI/ML platforms and processes: OpenVINO or similar toolkit; MLOps training pipeline; SageMaker. Requires experience of data governance, privacy policies and AI assurance methods Requires indepth AWS experience, particularly S3, serverless computing (Lambda), EventBridge/SNS/ ...