AI DevOps Engineer: Cloud & MLOps Specialist in London

AI DevOps Engineer: Cloud & MLOps Specialist in London

London Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
Bluecrestcapitalmanagement

At a Glance

  • Tasks: Own the delivery and operations of cutting-edge DevOps environments in AI and cloud.
  • Company: Bluecrest Capital Management, a leader in modernising hybrid infrastructure.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of an innovative environment with exciting projects and career advancement.
  • Why this job: Join a dynamic team and shape the future of AI and cloud technology.
  • Qualifications: Experience in DevOps, cloud platforms, and automation tools is essential.

The predicted salary is between 63000 - 77000 Β£ per year.

Bluecrestcapitalmanagement in London is seeking an experienced AI DevOps Engineer to own end-to-end delivery and operations of our DevOps environments. You will join a team modernising our hybrid infrastructure across on-prem and multi-cloud, with Azure and AWS, Kubernetes, Kafka, ELK, and real-time trading platforms.

The role focuses on automation, standardisation, and scalable platforms, leveraging RAG pipelines, MLOps frameworks (Kubeflow, MLflow, Argo, Airflow), and AI tooling integration.

AI DevOps Engineer: Cloud & MLOps Specialist in London employer: Bluecrestcapitalmanagement

Bluecrest Capital Management is an exceptional employer, offering a dynamic work environment in the heart of London where you can develop your skills as a Treasury Collateral & Liquidity Analyst. With a strong focus on employee growth and collaboration with senior managers, you'll have the chance to gain invaluable insights into fund management while enjoying a supportive culture that values innovation and excellence.

Bluecrestcapitalmanagement

Contact Details:

Bluecrestcapitalmanagement Recruitment Team

We think you need these skills to ace AI DevOps Engineer: Cloud & MLOps Specialist in London

DevOps
Cloud Infrastructure
MLOps
Azure
AWS
Kubernetes
Kafka