Mlops Engineer (Databricks Specialist) - £438 Inside IR35 - Hybrid

Stealth IT Consulting; Greater London; Hybrid; GBP 68,000 - 81,000; Full time

Job summary

Stealth IT Consulting is seeking an MLOps Engineer (Databricks Specialist) for a 6-month contract in London. The role is Hybrid with 3 days onsite per week and a rate of £438 Inside IR35. You will implement ML workloads on the Global AI Platform, configure and optimise Databricks-based development and deployment frameworks, and lead pilot models. Proficiency in Databricks ML, MLflow, Unity Catalog, and CI/CD for ML lifecycle is required.

Qualifications

• Experience configuring and optimizing Databricks-based ML frameworks.
• Strong background in ML model training, deployment, monitoring and governance.
• Proven ability to build CI/CD pipelines for ML lifecycle management.
• Experience migrating workloads and building reusable migration accelerators.

Responsibilities

• Configure and optimise Databricks ML development and deployment frameworks.
• Implement model training, deployment, monitoring and governance.
• Develop and adapt frameworks to support migrated workloads.
• Build CI/CD pipelines and automation for ML lifecycle management.
• Lead pilot model implementations on the Global AI Platform.
• Develop reusable migration accelerators and standards.

Skills

Databricks Lakehouse

Databricks ML

MLflow

Unity Catalog

Workflows

Model Serving

CI/CD

MLOps automation

Python

Job description

Job Title: MLOps Engineer (Databricks Specialist)
Rate: £438 Inside IR35
Duration: 6 months
Location: Hybrid - 3 Days Onsite in London per Week
Clearance: BPSS
Stages: 2 Stages

Purpose: Implement ML workloads and MLOps capabilities on the Global AI Platform.

Key Responsibilities

• Configure and optimise Databricks-based ML development and deployment frameworks.
• Implement model training, deployment, monitoring, and governance capabilities.
• Adapt or develop frameworks required to support migrated workloads.
• Build CI/CD pipelines and automation for ML life cycle management.
• Lead technical implementation of pilot models on the Global AI Platform.
• Develop reusable migration accelerators and standards.

Key Experience

• Databricks Lakehouse Platform.
• Databricks ML, MLflow, Unity Catalog, Workflows, and Model Serving.
• CI/CD and MLOps automation.
• Python and production ML deployment patterns.