4 of 4 Permanent Amazon SageMaker Jobs in the City of London

Machine Learning Engineer

Hiring Organisation
JLA Resourcing Ltd
Location
City of London, London, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£70,000
Hands-on ownership of CI/CD (Jenkins/Azure DevOps/GitHub Actions) and MLOps in Azure ML/Azure AI Foundry/SageMaker/Vertex AI. Working knowledge of Infrastructure as Code (Bicep, ARM, Terraform). A test-driven development mindset and commitment to engineering quality. Broad ...

AVP - AI Platform Engineer

Hiring Organisation
Barclays Bank PLC
Location
City, London, United Kingdom
Employment Type
Permanent
Salary
GBP Annual
capability to guide engineering teams and influence technical strategy. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training ...

Machine Learning Engineer

Hiring Organisation
Via Match Limited
Location
City of London, London, United Kingdom
Employment Type
Permanent
Salary
£85,000
library skills Hands-on experience with GenAI APIs and production deployments Knowledge of the full ML lifecycle and MLOps tools such as MLflow or SageMaker Strong communication skills and experience working with senior stakeholders A grounding in statistics and an agile, problem solving mindset Some Scala exposure ...

AI/MLOps Platform Engineer

Hiring Organisation
Barclays Bank PLC
Location
City, London, United Kingdom
Employment Type
Permanent
Salary
GBP Annual
this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong … leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training ...