Senior Machine Learning Engineer

Our client is a global powerhouse in legal research technology, trusted by professionals worldwide for delivering one of the most extensive and advanced collections of legal information on the market. With cutting-edge AI, data analytics, and next-gen automation, they’re redefining how legal teams discover insights: faster, smarter, and at massive scale.

If you're ready to make a real impact in a high-growth, mission-driven environment, this is your chance to join a team where your work truly matters.

The candidates need to be located (or open to relocation) in Madrid or Barcelona and open to having a hybrid working modality.

Main responsibilities:

• Design, develop, and productionize scalable systems using technologies such as Python and Flask
• Translate customer requirements into practical, real-world solutions that address business needs
• Collaborate with business stakeholders, engineers, and content teams to identify and deliver high-impact AI-driven products and services
• Implement comprehensive monitoring, testing, and auditing processes to ensure system quality and reliability
• Adhere to best practices in model and data governance, including ethics and compliance standards

Core skills/experience:

• Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field
• Experience developing machine learning applications in commercial or research settings
• Strong ability to translate business challenges into ML-driven solutions
• Skilled in organizing and analyzing complex datasets to extract insights
• Proficient in Python, with experience writing and maintaining unit tests
• Familiar with version control systems, such as Git (and optionally Graphite)
• Hands-on experience using Docker for development and deployment

Nice to have:

• Portfolio projects
• Java knowledge
• Machine learning expertise (NLP )

What's on offer?

• Flexible and friendly work culture
• Hybrid working modality from Madrid or Barcelona
• Collaborative, multicultural team environment
• Mental health and well-being support
• Career growth, leadership mentoring, and ownership of core systems
• Projects with real-world impact in the legal tech space
• Access to innovative tools and a fast-paced, mission-driven environment

Our recruitment process?

• Step 1: Interview with one of our recruiter
• Step 2: Screening call with Tech Lead
• Step 3: Test Home
• Step 4: Technical interview with HM
• Step 5: Narrative & behavior call