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# Machine Learning Engineer

- **Company:** sennder
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Database, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Recommender Systems, Power BI, SQL Databases, Jupyter Notebook, Large Language Models, Snowflake, Git, AI Platforms, Data Analytics, Machine Learning Operations, Streamlit Framework, Network Optimization
- **Published:** August 12, 2026
- **Apply:** https://eu.experteer.com/career/view-jobs/machine-learning-engineer-08036-barcelona-cataluna-spanien-58917910

## About the Role

Strong * AI & LLM integration: use foundational models and AI tools to accelerate workflows and build internal products * Platform collaboration: work with Data & AI Platform (MLOps) to deploy models and influence standards * End-to-end execution: manage projects from R&D to production release and monitoring Tasks * 5+ years of hands-on experience in Data Science or ML Engineering * Strong foundation in statistical analysis, hypothesis testing, and data exploration * Working knowledge of ML approaches for regression and classification * Production-ready ML deployment experience * Proficiency in Python, SQL, and Git * Experience with cloud data warehouses (e.g., Snowflake) * Jupyter Notebooks for data exploration; creating interactive dashboards (e.g., Streamlit, PowerBI) * Knowledge of how to set up and evaluate LLMs in production * Business acumen to translate logistics problems into data-driven solutions * Strong collaboration and communication skills with cross-functional teams Key
requirements * hybrid work environment * performance bonuses * referral rewards * equity * sennCare program * nilo partnership

## Description

Experteer Overview In this role you will join sennder's ML team to translate data-driven insights into high-impact production models. You'll work across pricing, forecasting, and recommender systems, while exploring new ML-driven solutions for logistics challenges. You will collaborate with product, end-users, and platform engineers to ship end-to-end models from research through production. Your work will help accelerate profitability, capacity planning, and operational efficiency in Europe's leading digital freight platform. Pay / Benefits * Pricing engine optimization: develop bid estimation and margin models to drive profitability * Carrier forecasting: build predictive models for carrier behavior and market capacity * Recommender systems: maintain and improve systems supporting daily operations * Industry innovation & applied ML: explore ML solutions for routing and network optimization * Product discovery & ideation: translate operational pain points into ML hypotheses and prototypes * AI & LLM integration: use foundational models and AI tools to accelerate workflows and build internal products * Platform collaboration: work with Data & AI Platform (MLOps) to deploy models and influence standards * End-to-end execution: manage projects from R&D to production release and monitoring Tasks * 5+ years of hands-on experience in Data Science or ML Engineering * Strong foundation in statistical analysis, hypothesis testing, and data exploration * Working knowledge of ML approaches for regression and classification * Production-ready ML deployment experience * Proficiency in Python, SQL, and Git * Experience with cloud data warehouses (e.g., Snowflake) * Jupyter Notebooks for data exploration; creating interactive dashboards (e.g., Streamlit, PowerBI) * Knowledge of how to set up and evaluate LLMs in production * Business acumen to translate logistics problems into data-driven solutions * Strong collaboration and communication skills with cross-functional teams Key requirements * hybrid work environment * performance bonuses * referral rewards * equity * sennCare program * nilo partnership


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