Senior Machine Learning Engineer 

Assignment period: 03 Nov 2025 – 30 Apr 2026, with possible extension
Workload: 100%
Location: Solna, Stockholm – on-site presence required, ideally 3+ days per week
Experience level: Senior profile, 5+ years

About the assignment

We are looking for an experienced Senior Machine Learning Engineer for an assignment with our financial sector client. The consultant will co-develop a dedicated AI infrastructure, provide hands-on training, and act as a mentor to the internal team. The aim is to strengthen internal capabilities, enable operational independence, and transition existing AI models into a newly built environment.

Required skills and experience

Proven experience with Google Cloud Platform (GCP) services and ML engineering workflows

Strong Python programming skills, including building and debugging ML pipelines

Skilled in knowledge transfer: explaining best practices, architecture choices, and scalable ML setups on GCP

Team-oriented mindset: supports shared goals, takes ownership, and fosters learning

Technical expertise

GCP services: Vertex AI, BigQuery, Cloud Storage, Dataflow

Model deployment: Training, orchestration, monitoring on Vertex AI

ML pipelines: Build/debug using Python

Serving & automation: Cloud Functions, Cloud Run

Compute: Use of TPUs/GPUs for training

Security: IAM, OAuth 2.0, service accounts

Infrastructure as Code: Terraform, Deployment Manager

CI/CD: Cloud Build, GitHub Actions

Monitoring & logging: Observability for ML systems

Artifact management: Container/image registry

Soft skills

Excellent communication skills

Strong sense of ownership and accountability

Ability to work effectively in team-oriented environments

Skilled at knowledge sharing and mentoring