MLOps Engineer – Portfolio Optimisation, Customer Analytics Platform

Job not on LinkedIn

🕒 February 17

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 39%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Madiff

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Madiff is a technology and consulting company specializing in IT services and digital innovation. They provide a range of solutions, including software development, agile team services, and IT consulting across various industries. With a focus on delivering high-quality, multi-skilled remote teams, Madiff aims to enhance business performance and support clients in navigating the complexities of their respective markets.

📋 Description

• Design and operate training and deployment pipelines for analytical and optimisation models • Automate model retraining, validation, and promotion processes • Ensure reproducibility and consistency across development, testing, and production environments • Support scalable analytical workloads across cloud platforms • Enable structured exposure of model outputs to LangChain and LangGraph workflows • Monitor performance, stability, and reliability of ML pipelines • Collaborate closely with data scientists and analytics teams to streamline experimentation to production

🎯 Requirements

• Strong experience in MLOps or ML platform engineering • Solid Python skills for automation and tooling • Hands on experience with Docker and Kubernetes • Practical experience with MLflow or similar model lifecycle management tools • Experience with workflow orchestration tools such as Airflow • Hands on experience with CI/CD pipelines • Experience working with cloud data platforms • Strong understanding of reproducibility and environment management • Fluent English for professional collaboration

🏖️ Benefits

• Solid, competitive salary • Work in a multinational environment on international projects • Comprehensive healthcare • Long-term B2B contract with a stable project pipeline • Remote work model