Design, build, and operate a Kubernetes-based MLOps platform using Helm, Terraform, Kubeflow, KServe, vLLM, and JupyterHub. The platform supports the full model lifecycle—experimentation, deployment, and scalable inference—for AI, ML, and LLM workloads in production.

You'll build and operate a Kubernetes-based AI/ML platform using Helm, Terraform, Kubeflow, KServe, vLLM, and JupyterHub. This role focuses on creating infrastructure, tooling, and guardrails so MLOps and data science teams can reliably deploy and serve models at scale.

FDJ UNITED★4.0 (96)· London

You'll lead a DataOps/MLOps team building an ML platform and data operations capability for FDJ United's Sportsbook, working with AWS, Terraform/CloudFormation, Spark, Kafka, and CI/CD pipelines for end-to-end ML lifecycle management. The role involves establishing best practices, monitoring, and governance while collaborating with Data Engineering, ML Engineering, Quants, and Data Science teams to personalize customer experiences and manage risk.

This postdoctoral role works with GitHub, GitLab, CI/CD, SBOMs, vulnerability databases, cloud services, AI, and ML evaluation ontologies. The TrustAttest project develops a continuous compliance monitoring and automated remediation platform for SME software vendors, mapping the UK SSCoP requirements to observable technical signals across development environments.

You will work with Unix/Linux, JavaScript, a ticketing system, and networking infrastructure tools. As a Support Engineer on the Global Support Engineering team, you will resolve technical issues with ExtraHop's network detection and response (NDR) product and assist customers with hardware, firmware, and third-party integrations.

AXA★3.9 (2.9k)· London

Design and implement secure architectures for enterprise security and AI/ML initiatives across AXA, using Docker, Kubernetes, cloud security, API security, micro-services, MLOps/MLSecOps platforms, threat modeling, and SSDLC. Defines technical security standards and reference architectures aligning with frameworks like NIST AI RMF and ISO/IEC 42001. Reports to the Chief Security Officer.

Vodafone★3.6 (3.2k)· London

Work with Elastic Stack, Python, Kubernetes, Terraform, Ansible, CI/CD, Git, and Linux on the Cyber Security/Prevent team, supporting security platforms and delivering hands-on automation engineering to improve reliability and resilience across Vodafone Group and local markets.

HSBC★4.0 (16k)· London

Work with Python, Docker, Kubernetes, Flask/FastAPI, PyTorch/TensorFlow, SQL Server/Postgres, and CI/CD pipelines to build and deploy production-grade ML and GenAI services. You will join the Growth AI programme within HSBC’s Corporate & Institutional Banking Data & Analytics, developing AI applications to identify business opportunities and mitigate client attrition.

The researcher will work with GitHub, GitLab, CI/CD pipelines, SBOMs, vulnerability databases, cloud services, ontologies, and machine-learning evaluation for AI-assisted compliance monitoring. The TrustAttest project, an Innovate UK initiative, builds a continuous compliance monitoring and automated remediation platform that maps the UK’s Software Security Code of Practice to observable technical signals for SME software vendors.

The role involves troubleshooting network infrastructure, hardware, firmware, and third-party integrations using a ticketing system and video/phone channels. Preferred technologies include Unix/Linux

MAREX★3.2 (6)· London

Design and implement resilient data ingestion, orchestration, and provisioning using APIs, event streaming, CI/CD, and infrastructure-as-code for Marex's enterprise data products. This role supports the firm's global financial services platform by delivering trusted, reusable data assets and integration capabilities for operational, regulatory, and analytical use cases.

Okta★3.9 (70)· London

Principal Forward Deployed Engineer at Okta: work with OAuth 2.0, OIDC, SAML, SCIM, OPA, Cedar, OpenFGA, AI agent platforms, and MCP. Define canonical patterns for agent identity, delegation, audit, and kill-switches across the most strategic enterprise deployments. Own the reference architecture the FDE team builds from and shape the product roadmap.

Lead AI engineers use Python, LangChain, vector stores, and LLMOps tooling to build and operate production generative AI applications like copilots and agentic workflows. They design RAG pipelines, own end-to-end development, and integrate with enterprise data systems and APIs. This player-coach role seeds and grows the AI Engineering function within GCG technology at Capital Group, a global investment firm.

You will design, build, and operate AWS infrastructure, engineer Kubernetes environments (EKS, Docker, Helm), and use Terraform for infrastructure-as-code. You will support critical investment and trading systems, improve CI/CD pipelines with GitHub Actions and GitOps (Argo CD), and work with databases like Snowflake, Aurora, and SQL Server. You will take end-to-end ownership of production systems, solve complex problems across distributed environments, and influence cloud architecture and reliability standards.

You will work across cloud infrastructure, applications, identity systems, and products, using technologies like AWS, GCP, or Azure with infrastructure-as-code, container security, and cloud identity patterns. Helsing is a defence AI company building high-assurance systems for democratic nations. You will identify, assess, and mitigate security risks across the full technology stack.

You will work with cloud infrastructure (AWS, GCP, or Azure), infrastructure-as-code, and build security tooling and automation. As a Junior Security Engineer at Helsing, a defence AI company, you will join a team identifying and reducing security risks across cloud, applications, identity systems, and products, performing threat modelling, security reviews, and hands-on testing.

Okta★3.9 (70)· London

Leads a team of Solution Engineers on Okta's identity platform, requiring expertise in IAM, CIAM, PAM, ISPM, Federation/SSO, Active Directory, LDAP, and API-first security. The team partners with Account Executives and senior customer technical leaders to discover pain points and secure technical wins, as Okta builds neutral infrastructure to secure identity from AI to human.

Microsoft★4.2 (9k)· London

You will work with Databricks, Microsoft Azure (Data, Infrastructure, AI) services, Azure Data Services, AI Services, and cloud-native technologies. The Global Customer Success Chief Architect’s Office drives adoption of Databricks solutions on the Microsoft platform, leading architecture reviews and designing enterprise-scale data, analytics, and AI solutions.

You will work with Azure and AWS, Terraform, Azure DevOps, CI/CD, GitOps, GitFlow, Kubernetes, Docker, and MLOps tooling. This senior engineering role evolves a modern cloud platform, building Infrastructure as Code and automation to enable software, data, and machine learning teams to deliver at scale.

Cloudflare★3.2 (1.8k)· London

Interns work with Rust, C, Go, Python, and Gitlab/Github. Cloudflare’s Research Team solves difficult problems in security, privacy, and systems at scale. Projects may involve AI, distributed systems, privacy, and trusted execution environments.

You will build, manage, and optimise GCP AI cloud environments using Vertex AI, Gemini, Terraform, and Azure. You will support AI workloads including model hosting, vector databases, and LLMOps tooling for a financial services firm’s AI portfolio. You are part of a specialist AI Cloud & Environments team.

Design and develop AI agents using AWS AgentCore, Amazon Bedrock, Python, and TypeScript. Build backend services with AWS Lambda, API Gateway, Step Functions, DynamoDB, and IaC tools like Terraform or AWS CDK for enterprise multi-agent workflows and production monitoring.

Work with the Databricks Data Intelligence Platform, Spark, PySpark, Python, Java or Scala, and major public cloud platforms (AWS, GCP, Azure). As a pre-sales engineer, you will demonstrate how Databricks' unified data and AI platform helps customers solve complex data challenges, collaborating with Account Executives and Senior Solutions Architects.

This role focuses on designing, building, and operating enterprise AI agents using AWS AgentCore, Amazon Bedrock, Python, and TypeScript. You will implement RAG, tool calling, and multi-agent workflows, developing backend services with AWS Lambda, API Gateway, Step Functions, and DynamoDB. The position also involves establishing production AIOps with observability, monitoring, and CI/CD pipelines using Terraform or AWS CDK.

Alvarez & Marsal★3.6 (152)· London

Work with Microsoft Azure, CSPM, API security, IAM, and AI security tools including Harmonic, Claude, Claude Code, and Claude Cowork to secure and govern the firm’s enterprise AI platforms and applications. This hands-on role sits within the Security Engineering team, focusing on AI security controls, threat modelling for LLMs, and integrating security into AI-driven development.