1,000+ matching jobs for “Sr Machine Learning Engineer”

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Booz Allen Hamilton

Data Engineer

San Diego, California, United States

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

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means …

Added Oct 27, 2026

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Booz Allen Hamilton

Data Engineer

San Diego, California, United States

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

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means …

Added Oct 27, 2026

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Capital One Financial

Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)

New York City, New York, United States +4 locations

… in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team …

Added Oct 27, 2026

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Capital One Financial

Senior Staff Software Engineer - Capital One Travel Tech - Full-stack

Toronto, Ontario, Canada

As a Senior Staff Engineer at Capital One Software Studio, you will orchestrate the creation of technology solutions that align with …

Added Oct 27, 2026

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Walmart

Senior, Data Scientist

Seattle, Washington, United States

Pay posted by employer$108,000–$216,000 per year

… - VIZIO specializes in delivering personalized experiences to millions of customers through advanced AI and machine learning models. The team consists of collaborative data scientists and machine learning engineers skilled …

Added Oct 27, 2026

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GE Vernova

Staff AI Engineer

Chennai, Tamil Nadu, India

… closely with domain experts and cross-functional teams to apply artificial intelligence, generative AI, and machine learning to real-world industrial challenges, helping accelerate innovation, productivity, and operational …

Added Oct 27, 2026

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Agentic AI Engineer

Bengaluru, Karnataka, India

Full time
Reg Employee

… language translation, sentiment analysis, and speech recognition. • Optimize and innovate algorithms for machine learning and predictive analytics. • Document and share research processes and findings across the …

Added Oct 12, 2026

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Applied Materials

Senior Software Architect

Reẖovot, Central District, Israel

… solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied …

Added Oct 27, 2026

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KLA

Specialist, AI Engineer

Chennai, Tamil Nadu, India

Full time
Regular

… in Python, data structures, and algorithms. Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping. Machine Learning Frameworks Understanding of supervised/unsupervised learning, regularization, feature engineering, …

Added Oct 15, 2026

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Visa

Sr. SW Engineer (3-5 years, GenAI, Java/Python full stack)

IN - Bengaluru, India

Overview: We are seeking a talented and motivated Senior Software Engineer to join our VAS Innovation team. As a key member of the team, you will play a critical role in developing …

Added Oct 27, 2026

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Capital One Financial

Staff Engineer

McLean, Virginia, United States +3 locations

Staff Engineer As a Staff Engineer at Capital One, you will be part of a community of technical experts working to define …

Added Oct 27, 2026

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Workday

Principal AI Engineer

Vancouver, British Columbia, Canada

Flex
Full time

Pay posted by employer$188,000–$282,000 CAD

… gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every …

Added Oct 27, 2026

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Walmart

(USA) Senior, Data Scientist

Sunnyvale, California, United States

Pay posted by employer$117,000–$234,000 per year

… Intelligence group within Walmart’s AI & Data organization. The team develops and deploys Generative AI and machine learning platforms, models, and services across Walmart’s highest-impact growth pillars—including AI …

Added Oct 27, 2026

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GE Vernova

Staff AI Engineer

Chennai, Tamil Nadu, India

Added Oct 27, 2026

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GE Vernova

Staff AI Engineer

Chennai, Tamil Nadu, India 3 postings

Added Oct 27, 2026

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GE Vernova

Staff AI Engineer

Chennai, Tamil Nadu, India

Added Oct 27, 2026

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Amgen

Sr Associate Data Scientist

India - Hyderabad

Full time
Regular

… technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE The GCF4 Senior ML Engineer – Agentic AI & Scientific Systems is a senior technical contributor responsible for designing, building, …

Added Oct 15, 2026

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Venture Global

Engineer, Production

Arlington, Virginia, United States

Full time
Regular

Pay posted by employer$110,000–$139,000

… and Commercial Operations teams—as well as collaborate with business intelligence, data engineering, and machine learning specialists in IT —to build user-friendly tools that drive performance and unlock insights from …

Added Nov 3, 2026

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CDW

Senior Threat Engineer – AI-Powered Detection, Response & Continuous AI Red Teaming

Concord, North Carolina, United States

Remote
Regular

… attackers in minutes, not days. Test our own defenses at attacker speed, continuously. The Senior Threat Engineer is a hands‑on, high‑impact role within the Enterprise Defense & Automation (EDA) team. You will engineer …

Added Nov 3, 2026

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Marsh & McLennan

Oliver Wyman - Senior/Lead Software Engineer (Django, Flask, FastAPI & React, Angular, TypeScript)

Gurugram - Horizon

… goal is to provide a sustainable work environment while fostering a culture of innovation and continuous learning for our team members. The Role and Responsibilities We have open positions ranging from Senior Engineer to …

Added Oct 27, 2026

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Workday

Principal AI Engineer

Vancouver, British Columbia, Canada

Flex
Full time

Pay posted by employer$188,000–$282,000 CAD

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Basic Qualifications · employer excerpt

10+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design,…
4+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
6+ years of professional experience in building services to host machine learning models in production at scale
3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)

2 more in the full description below.

About this opportunity

Original employer description

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI—deeply embedded into Workday’s platform—not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You’ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter.

About the Role

As a Principal AI Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents. Working within a small, senior, cross-functional pod, you’ll own how models, agent logic, and orchestration layers come together in production—across the full lifecycle from problem framing and data strategy to deployment, monitoring, and continuous improvement. You’ll implement and evolve frameworks for LLM-powered agents, including RAG pipelines, workflow orchestration, evaluation, and feedback loops, ensuring solutions are scalable, observable, and enterprise-ready. This role sits at the intersection of ML and platform engineering: partnering closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack. You’ll stay hands-on with emerging techniques in agentic architectures while applying strong engineering judgment to turn them into systems that are reliable, explainable, and built to operate at global scale.

About You

Basic Qualifications

10+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
4+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
6+ years of professional experience in building services to host machine learning models in production at scale
3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement
Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent

Other Qualifications:

Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation
Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases
Professional experience in independently solving ambiguous, open-ended problems and technically leading teams
Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement.

Workday Pay Transparency Statement

Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: CAN.BC.Vancouver

Primary Location Base Pay Range: $188,000 CAD - $282,000 CAD

Primary CAN Base Pay Range: $188,000 - $282,000 CAD

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.

If you require a reasonable accommodation, you may email [email protected], as far in advance as possible.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Why this result? · Employer labels

Keywords also found in description

Flex
Full Time
Product Development and Engineering

Location reference: GeoNames (CC BY 4.0), normalized by Referizz.