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Build and scale the infrastructure for deploying AI models and agents on Kubernetes, focusing on reliability and deployment pipelines.
Build and maintain high-performance backend APIs in Python/FastAPI, integrate systems via RabbitMQ, and design scalable ETL pipelines for AI-driven products on Azure/GCP.
Designs and manages cloud infrastructure and CI/CD pipelines for AI/ML workloads, ensuring scalable, secure, and reliable production systems.
Designs and manages cloud infrastructure and CI/CD pipelines for AI/ML platforms using AWS, Docker, Kubernetes, and GitHub/GitLab, while implementing MLOps workflows.
Leads cloud and AI/ML infrastructure on AWS and Azure, building scalable, secure platforms for analytics, underwriting, and fraud detection while driving DevOps maturity and automation.
Senior DevOps Engineer designs and maintains cloud infrastructure using Terraform and Azure DevOps, automates MLOps workflows, and ensures high availability of AI/ML platforms across AWS and Azure.
Builds scalable FastAPI services in Python that expose data models and ML models on Databricks, integrating with Azure and MLOps tooling for a global fintech team.
Build and maintain cloud infrastructure and CI/CD pipelines for a real-time AI market intelligence platform serving financial institutions, using AWS, Docker, and Pulumi.
Build and scale ML infrastructure for a quantitative trading firm, designing feature stores, MLOps pipelines, and data lakes to support petabyte-scale time-series models in low-latency environments.
Senior DevOps Engineer builds and secures AWS and Kubernetes platforms for a deep-tech AI/robotics company, automating CI/CD pipelines and ensuring compliance with modern cloud-native practices.
Build and own cloud infrastructure for an AI-driven materials discovery platform, focusing on GPU compute, CI/CD, and reproducibility to accelerate scientific breakthroughs.
Design and maintain Azure cloud infrastructure, Kubernetes clusters, and CI/CD pipelines for a platform supporting AI/ML models and applications.
Build and scale cloud infrastructure and CI/CD pipelines for a psychological science startup integrating generative AI and ML, ensuring reliability, security, and rapid product delivery.
Build and maintain cloud and Kubernetes infrastructure for a fintech company’s digital banking and AI platform, automating CI/CD and ensuring high availability in a regulated environment.
Build and scale cloud infrastructure and CI/CD pipelines for a behavioral-science AI platform, deploying ML models and ensuring reliability, security, and observability across AWS/GCP/Azure.
Build and maintain cloud-native infrastructure for a healthcare data platform, using AWS, Kubernetes, Terraform, and CI/CD pipelines to support scalable, regulated SaaS and ML workflows.
Design, build, and deploy enterprise-scale AI/ML solutions using Python, SQL, and frameworks like TensorFlow/PyTorch, with cloud platforms (Azure/AWS/GCP) and MLOps practices.
Design and deploy enterprise-scale AI solutions using LLMs, RAG, and Agentic AI to improve reporting, forecasting, and business intelligence in a hybrid London role.
Build and maintain Snowflake/Snowpark pipelines for a global lifestyle brand’s customer data platform, enabling faster, reliable access to insights for personalised interactions.
Design and deliver scalable data platforms and pipelines for clients in regulated sectors like banking and life sciences, enabling AI and analytics use cases.
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