Work with Azure, Terraform, Azure DevOps, container platforms, and AI agents to build and automate cloud infrastructure. You will design deployment pipelines, observability, and engineering tooling that enable rapid delivery of both AI-powered and traditional cloud-native applications.

Circadia Health's ML Ops Engineer will work with Apache Airflow, AWS (Batch, EC2, S3, IAM, CloudWatch), MLflow, Docker, Python, Git, SQL, Snowflake, and edge devices. You own the ML infrastructure and pipelines for a clinical monitoring platform that identifies early signs of clinical deterioration using predictive models in cloud and edge environments.

You'll work with Python (FastAPI), Go, TypeScript, PostgreSQL, Redis, Pinecone/pgvector, AWS (ECS, Lambda, SQS), Docker, Kubernetes, Terraform, LangChain/LlamaIndex, vLLM, and Anthropic/OpenAI APIs. You'll build and optimize RAG pipelines, real-time inference APIs, and vector search infrastructure powering LLM features for 500k+ monthly active users.

Ebury★3.3 (13)· London

You will work with React, TypeScript, Python, FastAPI, Strands Agents SDK, AWS Bedrock, RAG, Ragas, Langfuse, AWS/GCP, Terraform, and Docker. You will build Flow, an internal AI agent platform that orchestrates multi-step workflows across data warehouses and services to automate business operations. The role involves end-to-end ownership of agent workflows, reasoning UIs, and cross-system integrations.

Ebury★3.3 (13)· London

Build an AI-powered financial crime investigation platform using React, TypeScript, FastAPI, Python, LangGraph, LlamaIndex, and AWS (Bedrock, ECS, DynamoDB, OpenSearch). Design AI agent workflows and micro-frontend architecture while mentoring engineers.

You'll work with TypeScript, Node, React, PostgreSQL, GraphQL, Temporal, MCP, and GCP to build Ravio's agentic compensation platform—moving from a traditional SaaS to a system of parent and specialist agents, durable workflows, and an eval harness. As a hands-on individual contributor, you will own architecture across the customer-facing web app, agentic platform, and shared infrastructure.

Apple★4.1 (14k)· London

You'll work with Kubernetes, containerization, Python, Bash, CI/CD tools (Jenkins, GitHub Actions), and observability platforms (Prometheus, Grafana, OpenSearch/ELK) to transform threat intelligence prototypes into production services. You'll support Apple's Security Engineering & Architecture organization by hardening codebases, designing cloud/on-premises infrastructure, and building APIs that enable threat analysts worldwide to detect and respond to emerging threats faster.

Flo Health★4.8 (26)· London

You'll work with Python, MLflow, Databricks (Unity Catalog, Model Serving), AWS (EKS, Kubernetes, IAM), Terraform, and GitHub Actions to build Flo's GenAI platform—developing LLM evaluation judges, fine-tuning pipelines for health models (Llama, Gemma, MedGemma), and data infrastructure supporting 60+ production judges. Flo is the world's #1 women's health app with 80M+ monthly users, serving 7M paid subscribers with AI-powered, clinically-backed health features. You'll support an AI Platform team operating at scale across medical safety, model serving, and cross-functional partnerships with OpenAI, Google, Anthropic, and Databricks.