Senior MLOps Engineer

Warsaw Permanent Home Office View Job Description
Join innovative AI team as a Senior MLOps Engineer focused on Applied AI, model evaluation, and scalable ML production environments.You will build annotation pipelines, optimize AI model performance and costs, and work with modern cloud and MLOps technologies across AWS and GCP.

Added 27/05/2026

  • Work on cutting-edge Generative AI & MLOps projects
  • 100% remote

About Our Client

The employer is a large organisation operating within the professional services industry, known for delivering innovative solutions to its clients. It is committed to fostering a culture of excellence and providing its employees with opportunities to grow and thrive in their careers.

Job Description

  • Build and improve scalable MLOps and AI production pipelines
  • Create annotation and model evaluation workflows
  • Work with tools like Label Studio and Scale AI
  • Develop ground truth datasets and golden sets
  • Improve model quality, performance, latency, and cost-efficiency
  • Implement model monitoring, versioning, and evaluation frameworks
  • Build "model-as-a-judge" and PII scrubbing solutions
  • Develop Python scripts, APIs, and integrations
  • Collaborate closely with Data Science, Engineering, and DevOps teams
  • Integrate ML solutions within AWS and GCP environments
  • Support scalable vector embeddings and Generative AI ecosystems

    Technologies:

  • Python
  • AWS
  • SageMaker
  • S3
  • GCP
  • Vertex AI
  • Label Studio
  • Scale AI
  • APIs
  • MLOps
  • Generative AI
  • Vector Embeddings

The Successful Applicant

  • Strong experience in MLOps and production ML environments
  • Hands-on experience with annotation and evaluation workflows
  • Excellent Python programming skills
  • Experience with AWS and GCP cloud platforms
  • Understanding of model optimization and AI cost-efficiency
  • Experience with monitoring, versioning, and ML evaluation pipelines



What's on Offer

  • People: work with talented, collaborative, and friendly people who love what they do.
  • Guidance: utilize our learning platform to fully get the training and tools you'll need to become successful here from your first day with us.
  • Surprise meal stipends: work from home can't stop the enjoyment of someone else making a meal for you!
  • Work/life harmony: 26 days vacation, floating and set holidays, wellness allowance, and paid parental leave.
  • Medical insurance, life insurance, and business travel insurance
  • Stock options as part of our equity-sharing program.
  • Comprehensive perks program providing stipends for cell phone and internet, home office setup, mental wellness, professional development and tuition reimbursement, plus occasional company-funded meal opportunities throughout the year.
Contact
Dawid Zienkiewicz
Quote job ref
JN-052026-7025934

Job summary

Sector
Information Technology
Sub Sector
IT Architecture
Industry
Technology & Telecoms
Location
Warsaw
Typ umowy
Permanent
Consultant name
Dawid Zienkiewicz
Job Reference
JN-052026-7025934
Job Nature
Home Office