Machine Learning Engineer II

Everoad by sennder; Barcelona; Híbrido; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading digital freight forwarder is searching for a Machine Learning Engineer II in Barcelona. This role involves developing NLP solutions, engineering scalable ML pipelines, and collaborating with diverse teams to drive ML product strategies. Candidates should have over 5 years of experience, strong NLP expertise, and proficiency in Python. This is an exciting opportunity to impact the logistics industry through innovative technology while enjoying a hybrid workplace culture.

Servicios

Performance bonuses

Flexible working hours

Health and wellness initiatives

Formación

• 5+ years of experience in Machine Learning or Data Science.
• Solid grasp of NLP and Recommender Systems.
• Strong fluency in Python and clean, modular coding practices.

Responsabilidades

• Develop and deploy NLP systems for various applications.
• Maintain and refine recommendation systems.
• Engineer scalable Machine Learning pipelines.

Conocimientos

Experience with Machine Learning

NLP expertise

Proficiency in Python

Communication skills

Educación

Bachelor's or Master's degree related to Computer Science

Herramientas

Scikit learn

TensorFlow

PyTorch

Docker

Kubernetes

FastAPI

AWS

Descripción del empleo

Machine Learning Engineer II

sennder Barcelona

Machine Learning • Hybrid • Full-time

sennder is Europe's Leading Digital Freight Forwarder. In a traditional industry, we're moving fast and focusing on the digitalization and automation of road logistics.

By leveraging our proprietary technology, we're building an ecosystem that is leading the industry into the 21st century.

We are a growing team looking for a ML Engineer II in the Data/ML department to help us on our journey to revolutionize road freight logistics. The role is located in our Berlin, Barcelona or Amsterdam offices.

What You Will Do

We are seeking a Machine Learning Engineer II to join our ML team. You will work on a diverse portfolio of high-impact projects, ranging from optimizing our established Load-to-Carrier Recommendation engine to building greenfield GenAI solutions that automate complex Operator workflows.

You will act as an end-to-end ML Engineer, taking ownership from "Light MVP" prototyping to production deployment. You will tackle challenges involving both structured data (ranking/matching) and unstructured data (text/NLP).

In this role, you will …

• Develop and deploy NLP & LLM solutions: Build production-grade systems for email classification, entity extraction, and automated bidding strategies using modern transformer-based architectures and LLM APIs.
• Maintain and refine Recommendation Systems: Optimize existing recommender pipelines to ensure carriers are matched with the best loads.
• Engineer scalable ML pipelines: Design robust training and inference pipelines, ensuring your models are reliable, observable, and meet strict SLAs.
• Handle unstructured data at scale: Work with Data Engineering to turn messy logistics data (emails, PDFs, chat logs) into structured features.
• Drive the product strategy: Work closely with Product Managers and Operators to drive the adoption of ML-powered products and revolutionize the logistic industry.
• Drive experimentation: Implement A/B tests and offline evaluation frameworks to measure the real-world business impact of your models, favoring pragmatic solutions over theoretical complexity.

What We Are Looking For

• Experience: 5+ years of experience as a Machine Learning Engineer or Data Scientist with a strong software engineering component.
• Applied ML Expertise: Solid grasp of NLP (Transformers, LLMs, HuggingFace) and Recommender Systems (collaborative filtering, learning-to-rank, two-towers architecture). You know when to use a simple regression and when to deploy a complex deep learning model.
• Software Engineering proficiency: Strong fluency in Python (incl. Scikit learn, pandas and backend designs), you write clean, modular, and testable code. Experience with API frameworks (FastAPI, Flask), containerization (Docker, Kubernetes) and ML frameworks (Tensorflow, PyTorch) is required. You are familiar with AWS, Terraform and datadog.
• Production Mindset: Experience deploying models to production environments. Familiarity with model serving tools (e.g., BentoML, MLFlow) and workflow orchestration (e.g., Flyte, Airflow) is a strong plus.
• Data Fluency: Advanced SQL skills and experience working with cloud data warehouses (e.g., Snowflake).
• Problem Solver: You are motivated by solving business problems, not just technical ones. You are comfortable navigating ambiguity and iterating fast to validate hypotheses.
• Excellent communication skills: with a comfort level in explaining technical trade-offs to diverse audiences ranging from developers to stakeholders.

Nice to Have

• Familiarity with MLOps tools and practices, such as containerization (Docker, Kubernetes), model versioning systems, and infrastructure automation (e.g., Terraform).
• A background in advanced data engineering concepts such as real-time streaming, large-scale ETL workflows, or AI-specific data pipelines.
• Experience deploying models at scale and creating fault-tolerant architectures.
• Experience with reinforcement learning applications in pricing or revenue optimization, and knowledge of game theory, auction mechanisms, or marketplace dynamics, to collaborate with our 2nd ML team.

Why Choose sennder

We believe in empowering our people to grow beyond their limits, embrace challenges, and create solutions that drive our collective success. Our culture thrives on entrepreneurial spirit, resilience, and collaboration.

Dynamic Scale-Upsennder is at a pivotal stage – transitioning from a scale-up to a sustainably growing company. This means we move fast and constantly push ourselves to improve. Joining us means being part of an ambitious, international team of talented individuals who value teamwork as much as bold thinking. Face-to-face connections across our offices remain central – it's not uncommon to travel to our offices across Europe to collaborate as we tackle challenges and celebrate wins, together.

Put Your Stamp on the IndustryWe operate in a complex and ever-changing industry where your ideas and efforts have tangible, transformative impact. This is your chance to be hands-on in creating sustainable, meaningful solutions that help businesses thrive.

Employee Well-BeingWe make mental wellbeing and engagement a priority through initiatives like our sennCare program, a partnership with nilo (global wellbeing platform), and regular satisfaction surveys via Culture Amp. And most importantly, work alongside people who truly care about you as a person. There is something special about the people at sennder that goes beyond just ‘work’.

Your Growth, Rewarded We believe in rewarding our team for their commitment and contributions to our long-term success. Our compensation package may include performance bonuses, referral rewards, or equity that align with our goal of building a thriving company together. We're excited to grow with you!

Vibrant Workspaces Our offices are equipped with healthy snacks, focus zones, and social areas to keep you energized and connected. When you walk into a sennder office, you immediately feel the sennder spirit: our shared culture paired with each location’s own unique character. Highlights include a slide in our Wroclaw office and a sunny rooftop terrace in Berlin, Amsterdam, and Milan! We also enjoy coming together regularly, from monthly aperitivos to spontaneous team moments.

We celebrate diversity and value your character just as much as your skills. If you don’t meet every requirement, don’t worry, we still encourage you to take a chance and apply. Bring your authentic self and help us shape the future of logistics in Europe.

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