5 of 5 Permanent Deployment Automation Jobs in Westminster

KubernetesProficiency with lower-level libraries such as PyTorch and NumPyHands-on experience implementing distributed, multi-threaded, and scalable applicationsExperience with automated building, testing, and deployment pipelinesFamiliarity with higher-level interfaces like Pydantic AI and LangraphStrong understanding of computer science fundamentals and development best practicesBroad knowledge of MLOps tooling ...

agents, retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization techniquesProven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and costStrong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including … event-driven architectures in modern programming languages such as Python, TypeScript, Java, Go, or similarFamiliarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferredStrong problem-solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business valueExcellent communication ...

transformation? As the Agentic AI Operations Associate, you will help drive the build and day-to-day operation of agentic AI solutions, enabling intelligent automation across Client360. You'll work closely with product, architecture, engineering, platform operations, and data operations teams to implement agent-led workflows and ensure they … alerts (where applicable), incident learnings, and ongoing production hygiene.Contribute to CI/CD and release practices by working with automated build/test pipelines, deployment workflows, environment promotion, deployment verification, and rollback readiness.Help coordinate integration with platform and data operations teams to pivot workflows into agent-led operations ...

engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. \n Job responsibilities: \n \n Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions. \nDesign and execute enterprise-wide, reusable AI/ML frameworks and core … infrastructure-as-code tools such as Terraform.Experience in multi-agent orchestration. Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines.Experience with agentic telemetry and evaluation services.\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic ...

Job Description Job Description \n hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. \n Making sure you fit the guidelines as an applicant for this role is essential, please ...