Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.Someone, somewhere, will be glad you did.**#LI-REMOTE****Who we are**: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.**How we work**: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.To find out more about Healthineers’ specific businesses, please visit our company page .As an equal opportunity employer, we welcome applications from individuals with disabilities.**Data Privacy**: We care about your and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile where you can upload your CV. Setting up a profile also lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register to get started.**Beware of Job Scams:** Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site.**To all recruitment agencies**: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes. As an equal opportunity employer, we welcome applications from individuals with disabilities.**ViDA (Varian Intelligence Data Analytics)** is the AI and data intelligence platform powering the Siemens Healthineers radiotherapy ecosystem. ViDA ingests real‐time telemetry from **linear accelerators (LINACs)** deployed in cancer treatment centers around the world — transforming that data into actionable insights for clinical engineers and service teams.**What We Offer*** **100% Remote (Spain) or (United Kingdom) -** Work from anywhere in Spain or the UK — no relocation, no office mandate* **Real‐World Impact -** Your solutions run inside cancer treatment centers. The work — and the stakes — are real.* **AI‐Native Stack -** Databricks, Azure, LLMs — modern tooling without legacy constraints* **Global Scale -** A Fortune 500 MedTech organization with colleagues across 30+ countries* **Patented Research -** Collaborate on cutting‐edge ML for radiotherapy analytics (US 12,572,623 B2)* **High Autonomy -** Small team, big ownership. You lead your solutions end to end.**What You’ll Do*** Design and deliver **end‐to‐end AI solutions**, from problem framing and architecture to deployment, monitoring, and iteration, on our **Azure + Databricks medallion platform*** Architect and build **LLM‐powered applications**, including RAG pipelines, AI agents, structured outputs, and intelligent alerting integrated with LINAC telemetry and fault data* Develop **production‐grade APIs** (FastAPI) exposing AI capabilities such as model inference, predictive maintenance scores, and anomaly alerts to clinical dashboards and service tools* Translate **clinical and operational requirements** into robust AI system designs, acting as a bridge between domain experts (medical physicists, field engineers) and the engineering team* Integrate ML models and GenAI components into the ViDA data platform, orchestrating inference pipelines, managing model lifecycle with **MLflow**, and ensuring reliability at scale* Build and maintain **data pipelines** (PySpark, Delta Lake) that provide clean, validated telemetry, dosimetry, and MPC data from the global LINAC fleet* Own **production observability** for AI systems, including latency, data drift, and model degradation, driving continuous improvement based on real‐world performance* Champion **AI adoption** across internal teams through clear documentation, technical onboarding, and explainable, actionable AI outputs**Technology Stack - Must Have*** Python (production‐grade): FastAPI, Pydantic, async programming* LLMs in production: RAG, agents, tool use, structured outputs* Azure cloud services: Container Apps, Blob Storage, Event Hubs, Service Bus* Databricks, Delta Lake, PySpark* API design and integration: REST, async, OpenAPI* SQL and data modelling (fact/dimension models, incremental pipelines)* ML fundamentals: model integration, inference, validation**Nice to Have*** MLflow (experiment tracking, model registry, serving)* PostgreSQL and/or MongoDB* Prompt engineering and LLM evaluation frameworks* Next.js / React for lightweight AI frontend applications* dbt, Power BI, or semantic model development**What You Bring*** Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field — or equivalent practical experience* Proven experience building **AI systems in production**, with real users and real‐world consequences* Strong Python engineering skills, with an emphasis on clean, testable, and maintainable code* Deep familiarity with **LLMs and GenAI patterns**, including RAG, agents, structured outputs, function calling, evaluation, and monitoring* Hands‐on experience with **Azure** and modern cloud‐native architectures (containerisation, managed services, event‐driven systems)* Comfort working across the stack — from data pipelines and APIs to stakeholder presentations* Excellent communication skills, with the ability to tailor explanations for technical and non‐technical audiences* A proactive, ownership‐driven mindset — you identify problems early and follow through to resolution* Based in **Spain** (or holding valid EU work authorization); English required, Spanish is a plus **Apply now and help us transform cancer care through AI.**We are seeking an **AI & Analytics Engineer** who thrives at the intersection of **AI engineering, solution architecture, and data platforms**. This is a true end‐to‐end role: you will take problems from **initial discovery and system design through to production deployment and real‐world adoption**. You are comfortable switching contexts — discussing model architectures with data scientists, reviewing API contracts with backend engineers, and explaining predictive alerts to field service managers. You care about production quality, reliability, and impact. The systems you build don’t just live in notebooks — they run **inside cancer treatment centers**.
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