Junior Machine Learning Engineer (AI)

TL;DR

Junior Machine Learning Engineer (AI): Supporting the development of machine learning solutions across computer vision, forecasting, and LLM-enabled workflows with an accent on production-grade ML delivery and MLOps. Focus on building ML pipelines, integrating LLMs, and managing workloads within Databricks and Azure environments.

Location: Hybrid (Katowice, Poland)

Company

LIPTON Teas & Infusions is the world’s leading tea business, home to iconic brands such as Lipton, Pukka, Tazo, T2, Lyons, and PG Tips.

What you will do

• Develop ML pipelines for data preparation, training, inference, and evaluation.
• Implement use cases in computer vision, forecasting, classification, and related analytics.
• Integrate Large Language Models (LLMs) into pipelines and workflow steps.
• Build APIs, jobs, and processing workflows for ML-enabled solutions.
• Manage data and ML workloads using Databricks and Azure-based services.
• Collaborate with data engineers and business stakeholders in a Scrum environment.

Requirements

• 0-2 years of experience in machine learning, data science, or software engineering.
• Bachelor’s degree in Computer Science, Mathematics, or a related technical field.
• Strong foundation in Python.
• Familiarity with Azure, Databricks, PySpark, SQL, Git, and GitHub Actions.
• Basic understanding of ML workflows and model lifecycle concepts.
• Must be based in or able to work in a hybrid setup from Katowice, Poland.

Nice to have

• Experience with AzureML, FastAPI, React, TypeScript, or MLflow.
• Interest in agentic engineering tools such as GitHub Copilot, Claude, Codex, or Cursor.

Culture & Benefits

• Yearly salary review and annual performance-based bonus.
• Private medical care and employer-paid life insurance.
• Monthly MyBenefit cafeteria points and holiday reimbursement.
• Access to discounted company products and employee referral rewards.
• Structured onboarding and continuous learning opportunities.
• Cross-functional collaboration with global teams and regular HUB events.

Hiring process

• The process typically consists of 2-3 stages.
• CV review is targeted to be completed within 2 weeks.