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# Senior Machine Learning Engineer

- **Company:** Roche
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Applications Architecture, Acceptance Test-Driven Development, Bioinformatics, Cloud Computing, Computer Simulation, Databases, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Dataspaces, Relational Databases, Python (Programming Language), Linux System Administration, Machine Learning, NumPy, Azure Machine Learning, Software Engineering, SQL Databases, High Performance Computing, Large Language Models, Pandas, Scikit Learn, Storage Technologies, Information Technology, Machine Learning Operations
- **Published:** July 29, 2026
- **Apply:** https://www.buscojobs.com.es/senior-machine-learning-engineer-en-barcelona-ID-364386423

## About the Role

You excel at navigating ambiguity, enjoy handling complex data projects, and love mentoring others to grow technically.Qualifications & SkillsThe Must-HavesA Degree in Computer Science, Software Engineering, or a closely related technical fieldExtensive professional experience in software engineering with Python, including a deep understanding of Application Architecture and Design PatternsStrict adherence to coding best practices (e.g., TDD, ATDD), rigorous testing strategies, and proper version controlA very good understanding of complete ML workflows and hands?on experience provisioning the infrastructure required to support themSignificant experience with various storage technologies, understanding their specific trade?offs (e.g., Relational Databases, No?SQL Databases, Object Storage)Solid knowledge and practical experience with HPC (High-Performance Computing) and AWS-based data engineering and analytics solutionsTech Stack Alignment: Deep familiarity with the Python data
ecosystem (e.g., NumPy, Pandas, Scikit?learn), proficiency in Linux environments, and hands?on experience with modern data integration, ETL, and MLOps toolsThe Nice-to-HavesDomain knowledge or a strong interest in the life sciences sector, specifically Sequencing, PCR, Bioinformatics, or digital healthcareExperience building, deploying, or working with Large Language Models (LLMs) and agentic systemsOfficial Cloud certifications (e.g., AWS Certified Solutions Architect - Professional)Proven experience working successfully within large, globally distributed, or international enterprise environmentsAt Roche, we embrace emerging innovations, like AI, to enhance the patient journey.
If you're passionate about new technology and thinking ahead, join us in building a healthier future together.This is an on?site position and no relocation assistance is providedRoche is an Equal Opportunity Employer.

## Description

At Roche you can show up as yourself, embraced for the unique qualities you bring.Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally.This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.Join Roche, where every voice matters.The PositionWho We AreAt Roche Diagnostics Solutions (RDS), our mission is clear: to diagnose earlier, develop faster, and personalize treatment because every patient is unique.Within Computational Science & Informatics (CSI), we are the bridge between our origin and our future, shaping the next era of human health through precise, data-driven diagnostics and precision medicine.We excel in delivering rigorous, clinically actionable data analysis across our diagnostics portfolio, believing that advancing computational methods and informatics solutions is essential to harnessing dynamic human health data.By listening closely to patients and physicians, and leveraging digitization and cutting-edge technologies, we work collaboratively to turn insights into impact.This shared spirit creates an environment where ideas grow, new approaches are trialed, and competitive products reach patients faster-ultimately realizing the DIA 10-year vision and our One Roche ambitions so that everyone can access personalized healthcare solutions.The OpportunityWe are looking for a Senior Machine Learning Engineer with a strong technical background rooted in fundamental computer science and database management.The position requires a team player who strives for engineering and technical excellence, and is passionate about leveraging technology to change the face of medicine.In this role, you will act as a technical lead, driving the long-term planning, architecture, and design of initiatives such as our core ML and Data Platform.You will handle complex data projects alongside cross-functional teams, providing the robust infrastructure and tooling necessary for our Data Scientists to accomplish their research and production goals efficiently.Key ResponsibilitiesAct as the central technical liaison between project stakeholders and the Data Science team, taking full ownership of integrating and deploying algorithms and machine learning models into production workflowsDesign, build, and scale cloud-native and hybrid data and machine learning platforms (MLOps) tailored to the complex, evolving needs of our established Data Science teamPlan, architect, and develop long-term enterprise tooling and infrastructure for internal use to accelerate and streamline ML model research, training, and evaluationTake responsibility for the end-to-end software and data architecture within Data Science initiatives, independently driving the specification, implementation, and testing of complex technical assignmentsServe as a technical lead and subject matter expert, gathering requirements from data-focused profiles to continuously improve the ML platform while mentoring peers to foster a culture of engineering excellenceWho You AreYou are a collaborative technical leader who strives for engineering excellence and is passionate about leveraging technology to change the face of medicine.You excel at navigating ambiguity, enjoy handling complex data projects, and love mentoring others to grow technically.Qualifications & SkillsThe Must-HavesA Degree in Computer Science, Software Engineering, or a closely related technical fieldExtensive professional experience in software engineering with Python, including a deep understanding of Application Architecture and Design PatternsStrict adherence to coding best practices (e.g., TDD, ATDD), rigorous testing strategies, and proper version controlA very good understanding of complete ML workflows and hands?on experience provisioning the infrastructure required to support themSignificant experience with various storage technologies, understanding their specific trade?offs (e.g., Relational Databases, No?SQL Databases, Object Storage)Solid knowledge and practical experience with HPC (High-Performance Computing) and AWS-based data engineering and analytics solutionsTech Stack Alignment: Deep familiarity with the Python data ecosystem (e.g., NumPy, Pandas, Scikit?learn), proficiency in Linux environments, and hands?on experience with modern data integration, ETL, and MLOps toolsThe Nice-to-HavesDomain knowledge or a strong interest in the life sciences sector, specifically Sequencing, PCR, Bioinformatics, or digital healthcareExperience building, deploying, or working with Large Language Models (LLMs) and agentic systemsOfficial Cloud certifications (e.g., AWS Certified Solutions Architect - Professional)Proven experience working successfully within large, globally distributed, or international enterprise environmentsAt Roche, we embrace emerging innovations, like AI, to enhance the patient journey.If you're passionate about new technology and thinking ahead, join us in building a healthier future together.This is an on?site position and no relocation assistance is providedRoche is an Equal Opportunity Employer.#J-*****-Ljbffr


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