MLOps Architect

Summary: Hiring an experienced MLOps Architect for an initial 3-month contract with the possibility of long-term extension. The role requires onsite presence in Central London for two days a week, starting in the first or second week of March. The position focuses on hands-on experience with Databricks and AWS SageMaker MLOps, as well as building and operationalizing ML pipelines.

Key Responsibilities:

• Strong hands-on experience in Databricks MLOps & AWS SageMaker MLOps
• Building & operationalizing ML pipelines (Workflows/Jobs, MLflow, Delta Lake)
• Model registry, tracking, batch & Real Time deployment patterns
• SageMaker Pipelines (training, evaluation, deployment)
• Deployments via Endpoints, Batch Transform, or Async Inference
• CI/CD for ML using GitHub Actions/ADO/GitLab + IaC (Terraform/CDK/CFN)
• Experience with model performance, data quality, reproducibility & testing

Key Skills:

• Strong hands-on experience in Databricks MLOps & AWS SageMaker MLOps
• Building & operationalizing ML pipelines (Workflows/Jobs, MLflow, Delta Lake)
• Model registry, tracking, batch & Real Time deployment patterns
• SageMaker Pipelines (training, evaluation, deployment)
• Deployments via Endpoints, Batch Transform, or Async Inference
• CI/CD for ML using GitHub Actions/ADO/GitLab + IaC (Terraform/CDK/CFN)
• Experience with model performance, data quality, reproducibility & testing

Salary (Rate): undetermined

City: London

Country: UK

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Hiring for an experienced MLOps Architect for an initial 3-month contract (with long-term extension).

Onsite: 2 days per week (Central London, UK)

Start: 1st week of March or latest by 2nd week

Key Skills:

* Strong hands-on experience inDatabricks MLOps & AWS SageMaker MLOps

* Building & operationalizing ML pipelines (Workflows/Jobs, MLflow, Delta Lake)

* Model registry, tracking, batch & Real Time deployment patterns

* SageMaker Pipelines (training, evaluation, deployment)

* Deployments via Endpoints, Batch Transform, or Async Inference

* CI/CD for ML using GitHub Actions/ADO/GitLab + IaC (Terraform/CDK/CFN)

* Experience with model performance, data quality, reproducibility & testing

If you're available immediately and open to short-term + long-term contract opportunities, please share your CV and availability at (see below)