ML & AI Engineer / MLOps Engineer

For our client, we are looking for an experienced ML & AI Engineer / MLOps Engineer to join an assignment in Stockholm.

The consultant will work with designing, building and operating end-to-end MLOps solutions, with a strong focus on Databricks, CI/CD, automation and secure deployment of machine learning models in an enterprise environment.

Assignment

The consultant will:

Design, build and operate end-to-end MLOps pipelines using GitHub

Deploy and manage Databricks workspaces and environments

Enable reproducible ML experimentation, training and deployment

Support both batch and real-time inference workloads

Implement ML-specific CI/CD pipelines using Azure DevOps or GitHub Actions

Automate data validation, model training and versioning

Automate model packaging and deployment

Integrate pipelines with code, data and model repositories

Manage model versioning, rollbacks and promotion between environments

Implement model monitoring for performance, drift and data quality

Support retraining and continuous improvement workflows

Implement secure ML solutions aligned with enterprise security and compliance standards

Enforce identity, access control and secrets management

Ensure traceability and auditability of models and predictions

Assignment details

Location: Stockholm

Scope: 100%

Start: 1 September 2026

End: 31 December 2026

Estimated volume: 696 hours

Competence level: C

Application

To be considered for the assignment, please provide:

CV in English and Word format

A short motivation in English describing why the consultant is a good match for the assignment

Requested hourly rate (SEK/hour)

Please make sure that all requested information is included in your response. Unfortunately, we are unable to consider applications that do not include the requested CV, motivation and hourly rate.