Machine Learning Engineer
Offer summary

(Summary generated by AI based on the full job description)

The project involves building and deploying ML and AI systems processing millions of records daily. Tasks include developing NLP, embedding, vector search, and LLM models, as well as designing scalable MLOps solutions with monitoring and drift detection. Technologies used include Python, AWS/GCP, classification and ranking models. Responsibilities cover collaboration with Data Science and Engineering teams, improving data quality, and developing model evaluation frameworks.

new

Machine Learning Engineer

Company: Michael Page

from: 8 June 2026
to: 8 July 2026
21 917 - 27 417gross/ mth.contract of employment (full-time)
Offer parameters
level:senior
working mode:hybrid
location:Warszawa, Masovian
Warszawa, Masovian

Requirements

Expected technologies

Python
Machine Learning
NLP
LLMs
Vector Embeddings
Vector Search & Retrieval
Classification Models
NER
Ranking & Similarity Models
AWS
GCP
MLOps
Model Monitoring
Model Evaluation Frameworks
Ground Truth Pipelines
Data Annotation Workflows

Operating system

Windows
macOS
Linux

Employer requirements

  • 4-7 years of Software Engineering or Machine Learning Engineering experience
  • 2+ years deploying ML systems into production environments
  • Strong Python programming skills
  • Experience with modern ML and AI ecosystems
  • Hands-on experience with AWS or GCP cloud platforms
  • Experience building and deploying NLP, ML, embedding, or LLM-based solutions
  • Understanding of model evaluation, precision/recall, golden datasets, and regression testing
  • Experience working with large-scale production systems
  • Strong communication and collaboration skills
  • Ability to work closely with Data Science, Engineering, and Product teams

Your responsibilities

  • Build and deploy ML and AI systems serving millions of records daily
  • Work with NLP, embeddings, vector search, classification, ranking, similarity models, and LLM-powered features
  • Develop and improve model evaluation frameworks and testing pipelines
  • Build and maintain vector embedding and retrieval systems
  • Partner with Data Scientists to improve data quality and ground-truth datasets
  • Design scalable MLOps solutions including monitoring, observability, versioning, and drift detection
  • Translate business problems into measurable AI features and outcomes
  • Collaborate closely with Engineering, Data Science, and Product teams
  • Help shape the future of AI-powered products and features
  • Technologies: Python, Machine Learning, NLP, LLMs, Vector Embeddings, Vector Search & Retrieval, Classification Models, NER, Ranking & Similarity Models, AWS and/or GCP, MLOps, Model Monitoring, Model Evaluation Frameworks, Ground Truth Pipelines, Data Annotation Workflows
Company

What employer offers

  • 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.

Recruitment for

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.
Machine Learning Engineer
21.9k–27.4k zł / mth. (CoE)
I apply to:
Michael Page
Warszawa, Masovian
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