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Build and deploy ML models in production, automate pipelines, and manage cloud infrastructure for a digital marketing company.
Build and maintain scalable MLOps and DevOps infrastructure to deploy, monitor, and scale ML/AI models in production for a digital marketing platform.
Build and maintain cloud infrastructure for AI/ML systems using DevOps and MLOps practices, automate deployments with generative AI tools, and collaborate in an agile, English-speaking environment.
Senior DevOps engineer building and operating autonomous AI agents on AWS Bedrock AgentCore, deploying React frontends on OpenShift, and managing CI/CD pipelines with Terraform and GitHub Actions.
Senior DevOps engineer builds, deploys and operates autonomous AI agents on AWS Bedrock AgentCore, orchestrated with LangChain/LangGraph and exposed via a React frontend on OpenShift.
Build and maintain CI/CD pipelines and Kubernetes-based infrastructure to automate training and deployment of AI/ML models, using Docker, Terraform, Ansible, Jenkins, and monitoring tools like Prometheus and Grafana.
Build and deploy cloud-native applications for clients using Ansible, Kubernetes, and CI/CD pipelines (Jenkins/GitLab) while optimizing performance, security, and resilience.
Build and maintain full-stack web apps for a major banking client using Java/Spring Boot on the back-end and Angular on the front-end.
You’ll build and run the company’s internal AI platform, automating model deployments with Kubernetes, Ansible and CI/CD, and keep services like Run:AI, OpenWebUI and VLLM running smoothly.
Builds full-stack AI applications integrating generative and agentic LLMs, working with data science and DevOps teams to deploy and scale AI-powered tools in Node.js, Python, React, and Azure.
Build full-stack AI applications integrating generative and agentic LLMs, from front-end to cloud deployment, collaborating with data science and DevOps teams.
Build and maintain Python-based backend systems for insurance and financial services, using Flask/Django/FastAPI, PostgreSQL/MongoDB, and Azure, while collaborating in an Agile team.
Build and maintain Python-based backend systems for insurance and financial services, using frameworks like Django/FastAPI and cloud tools on Azure.
Lead the design and operation of secure, scalable data and ML pipelines on Domino Data Lab, using Kubernetes, Docker, and CI/CD to deliver reliable, compliant workflows for regulated industries like pharma.
Build and optimize NLP pipelines and LLM-based workflows for data ingestion and agentic AI systems using Python, RAG, and knowledge graphs.
Build and maintain ML pipelines and DevOps tooling in Java/C++ for an AI-focused product team in Oxford.
Build and maintain cloud and IoT platforms, CI/CD pipelines, and Azure-based environments; automate device-to-cloud data flows and support MLOps for ML model deployment.
Senior DevOps/MLOps Engineer designs and maintains GCP infrastructure, CI/CD pipelines, and MLOps workflows for a consultancy, advising clients on deployment strategies.
Senior DevOps/MLOps Engineer designs and maintains GCP infrastructure, CI/CD pipelines, and MLOps workflows for a consultancy, advising clients on deployment architectures.
Senior backend engineer building scalable APIs and data pipelines in Python/FastAPI to power AI-driven products, integrating with cloud services and message brokers.
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