1,000+ matching jobs for “Engineer - Controls Engineering”

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Booz Allen Hamilton

TEMPEST Engineer, Mid

Wright Patterson AFB, OH

Pay posted by employer$61,900–$141,000

TEMPEST Engineer, Mid The Opportunity: Are you looking for an opportunity to use your TEMPEST technical skills and …

Added Oct 27, 2026

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Booz Allen Hamilton

TEMPEST Engineer, Mid

Arlington, Virginia, United States

Pay posted by employer$62,000–$141,000

TEMPEST Engineer, Mid The Opportunity: Are you looking for an opportunity to use your TEMPEST technical skills and …

Added Oct 27, 2026

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Booz Allen Hamilton

TEMPEST Engineer Lead

Arlington, Virginia, United States

Pay posted by employer$77,600–$176,000

TEMPEST Engineer Lead The Opportunity: Are you looking for an opportunity to use your TEMPEST technical skills and …

Added Oct 27, 2026

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Amgen

Principal Machine Learning Engineer

India - Hyderabad

Full time
Regular

Principal Machine Learning Engineer Role Name: Principal Machine Learning Engineer Department Name: AI & Data Science Role GCF: 6A ABOUT AMGEN …

Added Oct 15, 2026

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Amgen

Principal Machine Learning Engineer

India - Hyderabad

Full time
Regular

Principal Machine Learning Engineer Role Name: Principal Machine Learning Engineer Department Name: AI & Data Science Role GCF: 6A Hiring …

Added Oct 15, 2026

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Walmart

Distinguished, Software Engineer

IN KA BANGALORE Home Office Building 11 +1 location

... We are seeking a Distinguished Engineer to set the technical vision and lead the architecture, engineering strategy, and execution of our …

Added Oct 27, 2026

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Humana (CenterWell)

Pharmacy Engineer 2

West Chester Twp, OH

Become a part of our caring community The Pharmacy Engineer 2 oversees logistics, fabrication, installation, operation, application, maintenance, and repair of …

Added Oct 20, 2026

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Prologis

Lead AI Engineer

Denver, Colorado, United States +4 locations

Full time

… governance, documentation, evaluation, observability, and operational readiness. Establish reusable engineering patterns that enable successful pilots to scale into enterprise platform capabilities. Partner with …

Added Nov 3, 2026

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Ingram Micro Holding

Principal Support Engineer

Barcelona, Catalonia, Spain +2 locations

Hybrid

… new capabilities transition successfully into Operations and Support. Role Overview The Principal Support Engineer is a senior, hands-on technical leader who connects Product, Engineering, Operations, Support, vendors, and …

Added Nov 3, 2026

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Stanley Black & Decker

Quality Engineer

Allentown, Pennsylvania, United States

Full time
Regular

Pay posted by employer$77,600–$124,900

Quality Engineer– Allentown, PA, United States – On-site Come build your career. It takes great people to achieve greatness. …

Added Oct 27, 2026

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IQVIA Holdings

Lead Data Engineer

Amsterdam, The Netherlands +20 locations

and your profile We are seeking a Lead Data Engineer to drive technical direction of data pipeline and data w arehouse layers bring ing product robustness and …

Added Oct 15, 2026

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Cardinal Health

Principal R&D Engineer

MA-Mansfield-West Building

Pay posted by employer$107,900–$154,100

The Principal Research & Development Engineer is a technical leader responsible for the design, development, verification, validation, commercialization, …

Added Oct 27, 2026

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Johnson & Johnson

Experienced Engineer, Data Management

Bengaluru, India

Full time
Regular

The Experienced Engineer designs and delivers trusted, reusable data capabilities by integrating enterprise data products, …

Added Oct 15, 2026

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Jabil

SMT Principal Engineer

Richardson, Texas, United States

At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast …

Added Oct 28, 2026

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Applied Materials

EHS Manager, Safety Engineer

Hwaseong-Castle,KOR

… to enable safe, compliant, and efficient operations. Implement Applied Materials’ EHS programs and controls, including risk assessment, JHA, PTP, contractor safety, MOC, chemical safety, LOTO, electrical safety, …

Added Oct 27, 2026

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Boeing

Production Chief Engineer

USA - Smithfield, PA +1 location

Full time
Regular

Pay posted by employer$165,000–$224,250

Production Chief Engineer Company: The Boeing Company The Boeing Company is currently seeking a motivated Production Chief Engineer …

Added Oct 16, 2026

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Cencora

Sr Engineer

Juncos, Puerto Rico

Full time

Own change controls for manufacturing process changes Support major/trend deviation investigations throughout the whole …

Added Oct 27, 2026

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Caterpillar

Autonomy Development Engineer

Irving, Texas, United States +1 location

Pay posted by employer$97,530–$158,480

… live. Together, we are building a better world, so we can all enjoy living in it. The Autonomy Development Engineer II develops and delivers production-quality software that enables autonomous and semi-autonomous …

Added Oct 27, 2026

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KLA

Senior Electronics Engineer

Newport, United Kingdom

Full time
Regular

… advancing business priorities by delivering high-impact work across your area of expertise. Part of the KLA Engineering division, the Platform Hardware Group is a multi-disciplined team, providing automation solutions to enable …

Added Oct 15, 2026

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GE Vernova

Engineer - OT Cyber Security

Rugby, England, United Kingdom

Summary We are seeking an OT Cyber Security Engineer to join the Automation & Controls New Product Introduction (NPI) organisation, playing a key role in the …

Added Oct 27, 2026

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Amgen

Principal Machine Learning Engineer

India - Hyderabad

Full time
Regular

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Skills · employer excerpt

Overall career span of 10-12+ years building production-grade technology solutions with 3-5 years of hands-on experience in AI/ML and enterprise software.
Strong command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques—with the…
Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale.
Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, LangGraph, Semantic Kernel).
Proficiency in Python and Java; containerization (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines).

2 more in the full description below.

About this opportunity

Original employer description

Career Category

Engineering

Job Description

Principal Machine Learning Engineer

Role Name: Principal Machine Learning Engineer

Department Name: AI & Data Science

Role GCF: 6A

Hiring Manager Name: Aman Shah

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

ABOUT THE ROLE

Role Description:

We are seeking a Principal Machine Learning Engineer—Amgen’s most senior individual-contributor leader—to build and scale end-to-end machine-learning and generative-AI solutions for enterprise use cases. Sitting at the intersection of engineering excellence, platform enablement and business impact, you will develop, deploy and monitor models—classical ML, deep learning and LLM-based solutions—securely, responsibly and cost-effectively. Acting as a player-coach, you will define technical standards, shape AI solution strategy, establish reusable patterns and reference architectures, and partner with DevOps, Security, Compliance, Product and business teams to deliver enterprise-grade AI solutions in a regulated environment.

Roles & Responsibilities:

Own enterprise AI/ML architecture, engineering standards, APIs, guardrails and reusable patterns across cloud and on-prem environments.
Build production ML/GenAI solutions and lightweight applications that deliver business-ready insights with performance, reliability and usability in mind.
Build end-to-end ML pipelines—data ingestion, feature engineering, training, hyper-parameter optimisation, evaluation, registration and automated promotion—using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks.
Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency.
Establish observability and operational excellence through SLOs, safe deployment patterns (blue-green/canary, shadow, rollbacks), incident runbooks and production monitoring.
Lead rigorous evaluation (offline/online, A/B), drift detection, and automated retraining.
Architect LLM/RAG solutions with prompt management, grounding strategies, safety guardrails, evaluation frameworks and optimized inference patterns.
Enforce data quality, lineage and responsible AI practices by maintaining model/data cards, privacy controls, traceability, auditability and human oversight where required.
Contribute reusable ML/GenAI platform components—feature stores, model registries, experiment-tracking libraries, evaluation assets and deployment templates—and evangelize best practices that raise engineering velocity across teams.
Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness.
Prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs.
Translate domain needs across R&D, Manufacturing and Commercial functions into technical roadmaps; influence solution design, mentor engineers and data scientists, and communicate trade-offs clearly to senior stakeholders.

Lead architecture reviews and technical governance for enterprise AI initiatives, making sound build-vs-buy decisions and ensuring alignment with security, compliance and platform standards.

Drive adoption in regulated environments by embedding validation readiness, explainability, risk controls and scalable operating practices into AI solutions from design through production.

Must-Have Skills:

Overall career span of 10-12+ years building production-grade technology solutions with 3-5 years of hands-on experience in AI/ML and enterprise software.
Strong command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques—with the judgment to choose, tune and operationalize the right method for a given business problem.
Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale.
Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, LangGraph, Semantic Kernel).
Proficiency in Python and Java; containerization (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines).
Strong ability to evaluate technical and business trade-offs, including cost, scalability, risk, ROI and time-to-value, and present recommendations to senior stakeholders.
Exceptional stakeholder management and technical leadership; able to translate complex concepts into concise, outcome-oriented narratives and influence decisions across engineering, product and business teams.

Good-to-Have Skills:

Experience in Biotechnology or pharma industry is a big plus
Exposure to Value and Access, market access, payer, commercial analytics or related healthcare business domains is preferred.
Experience delivering AI/ML solutions in regulated environments with familiarity in validation, auditability, explainability and risk controls is a plus.
Published thought-leadership or conference talks on enterprise GenAI adoption.
Master’s degree in Computer Science and or Data Science
Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery.

Education and Professional Certifications

Master’s degree with 10-12 + years of experience in Computer Science, IT or related field

Bachelor’s degree with 12-14 + years of experience in Computer Science, IT or related field
Certifications on GenAI/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, be organized and detail oriented.
Strong presentation and public speaking skills.

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

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Keywords also found in description

Full time
Regular
Technology

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