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AI Platform Engineer-Anthropic-UK

3 weeks, 2 days ago
United Kingdom
Full-time
Senior
Machine Learning Engineer
DevOps and Infrastructure
Argo CD AWS Azure Bash CI/CD CloudFormation Databricks Docker Elasticsearch GCP Generative AI Git GitHub Actions Go GraphQL Helm Java JavaScript Jenkins Kafka Kubeflow Kubernetes Machine Learning Microservices MLflow MLOps MongoDB Network Security OpenSearch PostgreSQL Pulumi Python REST API Secrets Management Serverless Snowflake Terraform TypeScript Vertex AI
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NewRocket

NewRocket

NewRocket is a full-service, elite ServiceNow partner that delivers meaningful experiences and extraordinary results. They help enterprise leaders tackle tough business challenges, navigate change with confidence, and go beyond workflows to create a re...

Internet Software & Services
251-1K
Founded 2016
View All Jobs 42

Description

  • Design, build, deploy, and maintain scalable platforms for AI, LLM, RAG, and agentic applications.
  • Create reusable cloud architectures, infrastructure patterns, deployment templates, integrations, and engineering standards.
  • Build secure integrations with Anthropic APIs, Claude models, enterprise data, APIs, ServiceNow, and authorized tools.
  • Establish CI/CD, infrastructure-as-code, LLMOps, MLOps, evaluation, release, monitoring, and rollback practices.
  • Operate production AI services, including incident response, troubleshooting, capacity planning, and service-level monitoring.
  • Develop data ingestion, indexing, retrieval, vector search, RAG, and enterprise data-access capabilities.
  • Implement security, privacy, governance, observability, auditability, and human-in-the-loop controls.
  • Design cloud-native infrastructure using containers, Kubernetes, serverless services, APIs, and event-driven integrations.
  • Collaborate with architects, engineers, ServiceNow teams, product teams, and clients to deliver reusable platform capabilities.
  • Contribute to technical documentation, playbooks, reference architectures, accelerators, workshops, and architecture reviews.

Requirements

  • 5+ years of experience in platform engineering, cloud engineering, DevOps, software engineering, data engineering, systems integration, or a related field.
  • Hands-on experience with AWS, Microsoft Azure, and/or Google Cloud Platform.
  • Strong experience with CI/CD, Git workflows, automated testing, infrastructure as code, and production releases.
  • Experience with Docker, Kubernetes, serverless services, or comparable cloud-native technologies.
  • Proficiency in Python, JavaScript/TypeScript, Java, Go, Bash, or similar languages.
  • Experience with REST APIs, enterprise integrations, authentication, authorization, and secure software development.
  • Experience with LLM applications, generative AI, RAG, workflow automation, embeddings, vector search, tool use, evaluations, and model monitoring.
  • Strong knowledge of cloud security, identity and access management, secrets management, network security, observability, and incident management.
  • Experience with relational or NoSQL databases, data warehouses, object storage, search platforms, or vector databases.
  • Hands-on experience with Claude, Anthropic API, MCP, LLM frameworks, MLOps platforms, AI observability tools, ServiceNow, or enterprise delivery environments is preferred.
  • Bachelor’s degree in computer science, engineering, information systems, data science, or a related discipline, or equivalent experience; relevant certifications are a plus.
  • Strong problem-solving, communication, documentation, collaboration, and customer-facing skills.

Interested in this position?

Apply directly on the company website

Apply Now

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