Sr Machine Learning Engineer

Join our team at AMGEN Capability Center Portugal consistently recognized among the top companies in the Best Workplaces(TM) ranking by Great Place to Work(R) in 2026 we were once again distinguished as one of the top Best Workplaces in the country (category 201-500 employees) reinforcing our commitment to an exceptional employee experience and workplace culture.

We are a team of over 500 talented individuals spanning more than 30 functions and areas of expertise and representing over 40 nationalities. Together we bring diverse perspectives and professional backgrounds to help shape the future of healthcare through innovation and technology.

This is your opportunity to explore a world of possibilities across areas such as Data & Analytics Digital Technology & Innovation Cybersecurity R&D Operations Global Distribution Finance Regulatory Affairs General & Administrative Human Resources and many more.

Located in the heart of Lisbon our AMGEN office fosters a culture of innovation excellence and purpose. Come thrive with us at AMGEN supporting our mission To Serve Patients.

What we do at AMGEN matters in peoples lives.

We are seeking aSr Machine Learning EngineerAmgens senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. Sitting at the intersection of engineering excellence and data-science enablement you will design the core services infrastructure and governance controls that allow hundreds of practitioners to prototype deploy and monitor modelsclassical ML deep learning and LLMssecurely and cost-effectively. Acting as a player-coach you willestablishplatform strategy define technical standards and partner with DevOps Security Compliance and Product teams to deliver a frictionless enterprise-grade AI developer experience.

Roles & Responsibilities:

• Engineer end-to-end ML pipelinesdata ingestion feature engineering training hyper-parameteroptimization evaluationregistrationand automated promotionusing Kubeflow SageMaker PipelinesOpenAISDKor equivalentMLOpsstacks.

• Harden research code into production-grade micro-services packaging models in Docker/Kubernetes and exposing secure RESTgRPCor event-driven APIs for consumption by downstream applications.

• Build andmaintainfull-stack AI applicationsby integrating model services with lightweight UI components workflowenginesor business-logiclayersso insights reach users with sub-second latency.

• Optimizeperformance and cost at scaleselectingappropriate algorithms(gradient-boosted trees transformers time-series models classical statistics) applyingquantization/pruning and tuning GPU/CPU auto-scaling policies to meet strict SLA targets.

• Instrument comprehensive observabilityreal-time metrics distributed tracing drift & biasdetectionand user-behavioranalyticsenabling rapid diagnosis and continuous improvement of live models and applications.

• Embed security and responsible-AI controls(data encryption access policies lineage tracking explainability and bias monitoring) in partnership with Security Privacy and Compliance teams.

• Contribute reusable platform componentsfeature stores model registries experiment-tracking librariesandevangelizebest practices that raise engineering velocity across squads.

• Perform exploratory data analysis and feature ideationon complex high-dimensional datasets to inform algorithm selection and ensure model robustness.

• Partner with data scientists to prototype and benchmark new algorithms offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs.

Must-HaveSkills:

• 3-5yearsin AI/MLandenterprise software.

• Comprehensive command of machine-learning algorithmsregression tree-based ensembles clustering dimensionality reduction time-series models deep-learning architectures (CNNs RNNs transformers) and modern LLM/RAG techniqueswith the judgment to choose tune andoperationalizethe right method for a given business problem.

• Proventrack recordselecting and integrating AI SaaS/PaaS offeringsandbuilding custom ML services at scale.

• Expert knowledge of GenAI tooling: vector databases RAG pipelines prompt-engineeringDSLsand agent frameworks ( Semantic Kernel).

• Proficiencyin Pythonand Java;containerization(Docker/K8s); cloud (AWSAzureor GCP) and modern DevOps/MLOps(GitHub ActionsBedrock/SageMaker Pipelines).

• Strong business-case skillsable to model TCO vs. NPV and present trade-offs to executives.

• Exceptional stakeholdermanagement;can translate complex technical concepts into concise outcome-oriented narratives.

Good-to-Have Skills:

• Experience in Biotechnology or pharma industryis a big plus

• Publishedthought-leadershipor conference talks on enterprise GenAI adoption.

• Masters degree in computer scienceand orData Science

• Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) forproject delivery.

Education and Professional Certifications

• Masters degree with8 years of experience in Computer ScienceITor related field

OR

• Bachelors degree with10 years of experience in Computer ScienceITor related field

• Certifications onGenAI/ML platforms (AWS AI Azure AI Engineer Google Cloud ML etc.) are a plus.

Soft Skills:

• Excellent analytical and troubleshooting skills.

• Strong verbal and written communication skills

• Ability to work effectively with global virtual teams

• High degree of initiative and self-motivation.

• Ability to manage multiple priorities successfully.

• Team-oriented with a focus on achieving team goals.

• Ability to learn quickly beorganizedand detail oriented.

• Strong presentation and public speaking skills.

APPLY NOW

Objects in your future are closer than they appear. Join us.

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your racecolour religion sex sexual orientation gender identity national origin protected veteran status disability status or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided with reasonable accommodation toparticipatein the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment.

Salary Range