ZipRecruiter

Log In

1

Google Cloud Machine Learning Engineer Jobs in New York

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Aston Carter

Machine Learning Engineer

Manhattan, NY · On-site

$125/hr

REMOTE Machine Learning Engineer This project-based consulting role invites an experienced Machine Learning Engineer to apply advanced analytical, statistical, and software engineering expertise to ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site

$130K - $200K/yr

Google, Amazon, Uber, Dropbox etc...). Our team comes from Meta, Google, Apple and Uber. We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to ...

previous page

Showing results 41-60

All JobsGoogle Cloud Machine Learning Engineer JobsGoogle Cloud Machine Learning Engineer Jobs in New York

Google Cloud Machine Learning Engineer information

See New York salary details

$25

$68

$95

How much do google cloud machine learning engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for google cloud machine learning engineer in New York is $68.80, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $78.37 per hour, depending on experience, location, and employer.

What is a Google Cloud Machine Learning engineer?

Google Cloud Machine Learning Engineers are professionals who design, build, and deploy machine learning models using Google Cloud Platform (GCP) services and tools. They work with large datasets, develop scalable ML solutions, and collaborate with data scientists and software engineers. Their role often includes automating data pipelines, optimizing model performance, and ensuring the reliability and security of ML deployments on the cloud. These engineers have expertise in both machine learning algorithms and cloud infrastructure, making them key contributors to data-driven projects.

What are the key skills and qualifications needed to thrive as a Google Cloud Machine Learning engineer?

To thrive as a Google Cloud Machine Learning Engineer, you need strong programming skills in Python or Java, a deep understanding of machine learning algorithms, and a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, TensorFlow, and relevant certifications like the Professional Machine Learning Engineer certification is highly valuable. Excellent problem-solving abilities, collaboration, and clear communication make someone stand out in this position. These skills and qualities are critical for designing, deploying, and optimizing scalable ML solutions that meet business objectives in cloud environments.

What are some typical cross-functional collaborations for a Google Cloud Machine Learning engineer?

As a Google Cloud Machine Learning Engineer, you'll frequently work alongside data scientists, software engineers, and product managers to design, deploy, and maintain machine learning solutions at scale. Collaboration often involves translating business requirements into machine learning pipelines, integrating models into cloud-based applications, and ensuring that solutions are robust, secure, and scalable. Regular communication with DevOps and infrastructure teams is also common to optimize model deployment and monitor performance. This cross-disciplinary teamwork is crucial for delivering impactful, production-ready AI solutions.

What is the difference between Google Cloud Machine Learning Engineer vs Data Scientist?

AspectGoogle Cloud Machine Learning EngineerData Scientist
Required CredentialsGoogle Cloud certifications, programming skills, ML knowledgeStatistics, data analysis, programming, often with advanced degrees
Work EnvironmentCloud platforms, coding, deploying ML modelsData analysis, modeling, reporting, often in research or business settings
Employer & Industry UsageTech companies, cloud service providers, enterprises using Google CloudVarious industries including finance, healthcare, marketing, research

Google Cloud Machine Learning Engineers focus on developing and deploying ML models on Google Cloud, requiring cloud certifications and coding skills. Data Scientists analyze data, build models, and generate insights, often with advanced degrees. While both roles work with data and ML, the Engineer role emphasizes cloud deployment and infrastructure, whereas Data Scientists focus on data analysis and modeling.

What are the most commonly searched types of Google Cloud Machine Learning Engineer jobs in New York?

The most popular types of Google Cloud Machine Learning Engineer jobs in New York are:

What are popular job titles related to Google Cloud Machine Learning Engineer jobs in New York?

For Google Cloud Machine Learning Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Google Cloud Machine Learning Engineer jobs in New York look for?

The top searched job categories for Google Cloud Machine Learning Engineer jobs in New York are:

What cities in New York are hiring for Google Cloud Machine Learning Engineer jobs?

Cities in New York with the most Google Cloud Machine Learning Engineer job openings:

Google Cloud Machine Learning Engineer jobs near you
Infographic showing various Google Cloud Machine Learning Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $143,102 per year, or $68.8 per hour.

Solution Architect, Utilities, Google Cloud Platform

West Monroe

New York, NY • On-site

$69.50 - $95.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago

Job description

Are you ready to make an impact?
West Monroe is looking for a GCP Solutions Architect with proven experience designing and implementing cloud-based data and analytics platforms. This role will focus on supporting our Energy & Utilities clients as they evaluate, leverage, migrate to, and build on Google Cloud. From day one at West Monroe, our people have the opportunity to make a meaningful, hands-on impact for their clients while growing their careers through focused professional development and continuous learning.
This role must be located in New York City or the tri-state area.
What Will You Be Doing?
Client Delivery
  • Serve as a subject matter expert (SME) and solution architect on Google Cloud Platform (GCP) technologies, guiding client stakeholders through design decisions, tradeoffs, and migration strategies.
  • Compare and contrast Azure, AWS, and GCP capabilities (cost, performance, compliance, analytics/AI) to support informed decision-making.
  • Lead the architecture, design, and migration approach for client workloads into GCP, including hybrid and multi-cloud scenarios.
  • Lead the greenfield build of modern data platforms that enable analytics, AI, and agentic solutions on GCP by developing architectures that leverage GCP services to support use case specific requirements.
  • Understand key differences and overlap in modern data platform capabilities when considering Databricks to complement Google Cloud solutions
  • Lead platform cost modeling to provide guidance on O&M budgeting and oversee efforts to identify and capture cost savings in existing capabilities
  • Collaborate with data engineers, developers, and business SMEs to ensure architecture aligns with business goals and regulatory requirements.
  • Provide hands-on technical guidance on cloud-native services (BigQuery, BigTable, Dataflow, Pub/Sub, Looker, Vertex AI, etc.) as well as security, networking, and governance.
  • Understand the connection between data governance, data engineering, analytics/AI, and agentic solutions from a holistic delivery perspective.
  • Act as a trusted advisor to client leadership, driving alignment across business and IT stakeholders.
  • Leverage AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations for clients, exercising judgment in evaluating outputs.
  • Apply AI technologies (e.g., generative AI, automation tools, data models) to enhance insights, improve delivery efficiency, and elevate the quality of client outcomes.

Practice Development
  • Contribute to the Energy & Utilities practice and Technology & Experience Discipline by developing methodologies, accelerators, and best practices for GCP adoption in regulated utility environments.
  • Promote thought leadership around cloud modernization, data platforms, and AI/ML use cases enabled by GCP.
  • Mentor junior team members and foster a collaborative, learning-oriented culture within West Monroe.

Business Development
  • Partner with account teams to understand business needs and shape them into technical roadmaps, proposals, and solutions.
  • Contribute to client pursuits as a GCP SME, including crafting architecture options, estimates, and risk assessments.
  • Build and maintain a professional network in the utilities and cloud ecosystems, strengthening West Monroe's reputation in the market.

Requirements:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (advanced degrees a plus).
  • 8+ years of work experience, including at least 3+ years designing and implementing cloud solutions on GCP.
  • Strong understanding of cloud data and analytics architectures, including batch and streaming data pipelines, data warehouses (BigQuery), and AI/ML services (Vertex AI, Agentspace).
  • Experience with Azure cloud services and Databricks platform, ability to objectively evaluate Azure vs. GCP tradeoffs inclusive of Databricks deployments
  • Proven success leading large-scale cloud migrations or platform builds (design through implementation).
  • Familiarity with regulatory/compliance frameworks relevant to utilities (e.g., NERC CIP, data residency, security standards).
  • Possess at least one Google Cloud Professional certification: Data Engineer, Cloud Database Engineer, Cloud Architect, Machine Learning Engineer
  • Strong communication skills with the ability to influence both technical and business stakeholders.
  • Ability to document technical architectures and explain approach and rational to technical resources.
  • Demonstrated leadership and mentoring capabilities.
  • Willingness to travel to client sites as needed (up to 50-75% annually).
  • Experience integrating AI tools (e.g., ChatGPT) into day-to-day workflows to enhance productivity and insight generation, coupled with strong critical thinking to assess accuracy, mitigate bias, and ensure high-quality outputs.

Nice to have:
  • Experience working with large, regulated utilities (familiarity with NERC CIP, PSC, and related compliance requirements).
  • Databricks certification (e.g., Data Engineer Associate/Professional, Machine Learning Associate/Professional).

Based on pay transparency guidelines, the salary range for this role can vary based on your proximity to one of our West Monroe offices (see table below). Information on our competitive total rewards package, including our bonus structure and benefits is here. Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity.
Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company's 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Eligibility for ten weeks of paid parental leave will also be available upon hire date.
Seattle or Washington, D.C.
$162,000-$190,600 USD
Los Angeles
$169,700-$199,700 USD
New York City or San Francisco
$177,400-$208,700 USD
A location not listed above
$154,300-$181,500 USD
Other consultancies talk at you.
At West Monroe, we work with you.
We're a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions.
The combination of business and technology is not new, but how we bring them together is unique. We're fluent in both. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come.
At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what's next.
You'll feel the difference in how we work. We show up personally. We're right there in the room with you, co-creating through the challenges. With West Monroe, collaboration isn't a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact.
West Monroeis an Equal Employment Opportunity Employer
We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion. If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to recruiting@westmonroe.com.
Please review our current policy regarding use of generative artificial intelligence during the application process.
If you are based in California, we encourage you to read West Monroe's Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here.

Apply