# AI DevOps Engineer [Bluecrestcapitalmanagement](https://gurify.com/jobs?q=Bluecrestcapitalmanagement) · London, United Kingdom · Posted yesterday Hybrid [DevOps](https://gurify.com/jobs/devops) [AI & ML](https://gurify.com/jobs/ai-ml) [Apply on the original posting → (opens in a new tab)](https://job-boards.greenhouse.io/bluecrestcapitalmanagement/jobs/7972490003) ## Job description ### Department Overview: Our Technology Infrastructure team operates globally and is responsible for every aspect of the firm's hybrid platform. This ranges from our EUC/Office environments to Trading and Core service Co-Location Data Centres, and extends to Public Cloud, delivering top-tier technology services to a dynamic and demanding Trading organisation. In addition to meeting the round-the-clock operational demands of the platforms, we continuously evolve and transform our platforms to maintain a competitive edge that our business requires. We innovate to provide valuable solutions and leverage our skilled Technology teams to deliver against rapidly changing business requirements. ### Role Overview: The AI DevOps Engineer is a very technical, hands-on role, responsible for end to end delivery and operations of our DevOps environments. They will be joining the team as we lead an ambitious technology modernisation journey, moving to greater adoption of AI, microservices and public cloud. We’re continuing to evolve our global infrastructure - spanning multiple global data centres - into a modern hybrid architecture that leverages both existing on-prem and multi-cloud environments and capabilities across Azure and AWS. Over the past four years, we've modernised our core trading systems and introduced a range of key technologies including AI, Kubernetes, Kafka, ELK, Prometheus, and more. As we expand and enhance the platforms, our focus is on automating and standardising to ensure consistency, scalability and reliability across all environments. ### Experiences and Skills Required: ### Must have: - Very good understanding of AI infrastructure and DevOps - Experience with RAG pipelines, MLOps frameworks (Kubeflow, MLflow, Argo, Airflow), data pipelines and versioning - Predictive operations tools (prophet, Dynatrace etc) - AI tools integration, for example embedding LLMs APIs or agents in pipelines - Very strong, AI-focused, Azure and AWS expertise - Experience orchestrating GPU workloads - Experience with Azure Foundry and Bedrock - AI Automation: - Experience building or using agents - Experience integrating DevOps infrastructure with MCPs - Terragrunt and Terraform - Python - Very good understanding of containerisation technologies ### Nice to have, but willing to learn otherwise: - Experience with infrastructure testing frameworks (Terratest, Terraform Test, Molecule, JUnit, pytest) - Kubernetes engineering and support across on-prem, VMware, AKS and EKS environments - Linux and Windows administration and network automation - Java and/or C# troubleshooting capability - CI/CD experience with GitHub Actions and/or TeamCity - Artifact repository management (Nexus, Artifactory) - Observability, monitoring and tracing (OpenTelemetry, Prometheus, ELK, Tempo, Jaeger) - Platform engineering on Azure and/or AWS - Data platform experience (Kafka, Redis) - Chaos engineering and resilience testing (Gremlin, LitmusChaos) ### About You: We’re looking for a very strong individual contributor, passionate about emerging technologies, and constantly improving their environment. The environment is fast moving with minimal process, so you’ll need to be comfortable supporting live systems, critical to the hedge funds operations, with minimal guardrails. You should be passionate about AI and other emerging technology trends, innovations and directions, and eager to suggest and implement new solutions to enhance our technology performance. You should also understand the need for rapid delivery while appreciating business risk and constraints to ensure adherence to service levels. The candidate should have extensive experience working both independently and as part of a diverse team, meeting both broad and specific project/BAU objectives. This role requires excellent organisational skills, open communication, and a collaborative approach. Your commitment to continuous improvement should be evident, both in learning from others and sharing knowledge to enhance our team's capability and function. BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality. **Live in Bluecrestcapitalmanagement’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role. We remove it as soon as it disappears at source. ## More jobs like this - BL [DevOps Engineer (FTC)](https://gurify.com/job/devops-engineer-ftc-at-bluecrestcapitalmanagement-e0a576aea185) Bluecrestcapitalmanagement · London, United Kingdom · yesterday - EL [Lead DevOps Engineer](https://gurify.com/job/lead-devops-engineer-at-elliptic-d37f4210db40) Elliptic · London, United Kingdom · 3 weeks ago - TH [The Athletic Media Company - Devops Engineer (UK)](https://gurify.com/job/the-athletic-media-company-devops-engineer-uk-at-theathletic-26a53122e90f) Theathletic · London · 5 weeks ago - TH [The Athletic Media Company - Devops Engineer (UK)](https://gurify.com/job/the-athletic-media-company-devops-engineer-uk-at-theathletic-bd9e25df505f) Theathletic · London · 5 weeks ago - RA [DevOps Engineer](https://gurify.com/job/devops-engineer-at-radiant-951cd18f918c) Radiant · London · 6 weeks ago - DV [Senior DevOps Engineer](https://gurify.com/job/senior-devops-engineer-at-dvtrading-71c870ba9a73) Dvtrading · London · 7 weeks ago ```json {"@context":"https://schema.org/","@type":"JobPosting","title":"AI DevOps Engineer","description":"\u003Ch3\u003EDepartment Overview:\u003C/h3\u003E\u003Cp\u003EOur Technology Infrastructure team operates globally and is responsible for every aspect of the firm\u0026#39;s hybrid platform. This ranges from our EUC/Office environments to Trading and Core service Co-Location Data Centres, and extends to Public Cloud, delivering top-tier technology services to a dynamic and demanding Trading organisation.\u003C/p\u003E\u003Cp\u003EIn addition to meeting the round-the-clock operational demands of the platforms, we continuously evolve and transform our platforms to maintain a competitive edge that our business requires. We innovate to provide valuable solutions and leverage our skilled Technology teams to deliver against rapidly changing business requirements.\u003C/p\u003E\u003Ch3\u003ERole Overview:\u003C/h3\u003E\u003Cp\u003EThe AI DevOps Engineer is a very technical, hands-on role, responsible for end to end delivery and operations of our DevOps environments. They will be joining the team as we lead an ambitious technology modernisation journey, moving to greater adoption of AI, microservices and public cloud. We\u2019re continuing to evolve our global infrastructure - spanning multiple global data centres - into a modern hybrid architecture that leverages both existing on-prem and multi-cloud environments and capabilities across Azure and AWS.\u003C/p\u003E\u003Cp\u003EOver the past four years, we\u0026#39;ve modernised our core trading systems and introduced a range of key technologies including AI, Kubernetes, Kafka, ELK, Prometheus, and more. As we expand and enhance the platforms, our focus is on automating and standardising to ensure consistency, scalability and reliability across all environments.\u003C/p\u003E\u003Ch3\u003EExperiences and Skills Required:\u003C/h3\u003E\u003Ch3\u003EMust have:\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EVery good understanding of AI infrastructure and DevOps\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience with RAG pipelines, MLOps frameworks (Kubeflow, MLflow, Argo, Airflow), data pipelines and versioning\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EPredictive operations tools (prophet, Dynatrace etc)\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EAI tools integration, for example embedding LLMs APIs or agents in pipelines\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EVery strong, AI-focused, Azure and AWS expertise\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience orchestrating GPU workloads\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience with Azure Foundry and Bedrock\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EAI Automation:\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience building or using agents\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience integrating DevOps infrastructure with MCPs\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ETerragrunt and Terraform\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EPython\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EVery good understanding of containerisation technologies\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003ENice to have, but willing to learn otherwise:\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EExperience with infrastructure testing frameworks (Terratest, Terraform Test, Molecule, JUnit, pytest)\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EKubernetes engineering and support across on-prem, VMware, AKS and EKS environments\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ELinux and Windows administration and network automation\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EJava and/or C# troubleshooting capability\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ECI/CD experience with GitHub Actions and/or TeamCity\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EArtifact repository management (Nexus, Artifactory)\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EObservability, monitoring and tracing (OpenTelemetry, Prometheus, ELK, Tempo, Jaeger)\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EPlatform engineering on Azure and/or AWS\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EData platform experience (Kafka, Redis)\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EChaos engineering and resilience testing (Gremlin, LitmusChaos)\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EAbout You:\u003C/h3\u003E\u003Cp\u003EWe\u2019re looking for a very strong individual contributor, passionate about emerging technologies, and constantly improving their environment. The environment is fast moving with minimal process, so you\u2019ll need to be comfortable supporting live systems, critical to the hedge funds operations, with minimal guardrails.\u003C/p\u003E\u003Cp\u003EYou should be passionate about AI and other emerging technology trends, innovations and directions, and eager to suggest and implement new solutions to enhance our technology performance. You should also understand the need for rapid delivery while appreciating business risk and constraints to ensure adherence to service levels.\u003C/p\u003E\u003Cp\u003EThe candidate should have extensive experience working both independently and as part of a diverse team, meeting both broad and specific project/BAU objectives. This role requires excellent organisational skills, open communication, and a collaborative approach.\u003C/p\u003E\u003Cp\u003EYour commitment to continuous improvement should be evident, both in learning from others and sharing knowledge to enhance our team\u0026#39;s capability and function.\u003C/p\u003E\u003Cp\u003EBlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality.\u003C/p\u003E","identifier":{"@type":"PropertyValue","name":"Gurify","value":"ai-devops-engineer-at-bluecrestcapitalmanagement-b926ee977b64"},"url":"https://gurify.com/job/ai-devops-engineer-at-bluecrestcapitalmanagement-b926ee977b64","datePosted":"2026-08-25","validThrough":"2026-10-10T23:59:59Z","hiringOrganization":{"@type":"Organization","name":"Bluecrestcapitalmanagement","sameAs":"https://job-boards.greenhouse.io/bluecrestcapitalmanagement"},"directApply":false,"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressCountry":"GB","addressLocality":"London"}}} ``` ```json {"@context":"https://schema.org/","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Jobs","item":"https://gurify.com/jobs"},{"@type":"ListItem","position":2,"name":"United Kingdom","item":"https://gurify.com/jobs/united-kingdom"},{"@type":"ListItem","position":3,"name":"AI DevOps Engineer","item":"https://gurify.com/job/ai-devops-engineer-at-bluecrestcapitalmanagement-b926ee977b64"}]} ```