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Google Cloud Machine Learning Engineer Jobs in Pitman, NJ

Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure ... Hands-onexperience with major cloud vendor solutions(AWS, Azure and/or Google) * Experience with ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure ... Hands-onexperience with major cloud vendor solutions(AWS, Azure and/or Google) * Experience with ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure ... Hands-on- experience with major cloud vendor solutions (AWS, Azure and/or Google) * Experience with ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure ... Hands-on- experience with major cloud vendor solutions (AWS, Azure and/or Google) * Experience with ...

Lead Forward Deployed Engineer - AWS

Philadelphia, PA · On-site

$103K - $136K/yr

Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services ... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ...

Lead cloud-native development on GKE, Cloud Run, Pub/Sub, BigQuery, Cloud SQL/Spanner, Memorystore ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Build and integrate AI-enabled capabilities into applications, including machine learning models ... Experience with cloud platforms such as AWS, Azure, or Google Cloud. * Experience with relational ...

Showing results 41-60

Google Cloud Machine Learning Engineer information

See Pitman, NJ salary details

$22

$59

$83

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 Pitman, NJ is $59.93, according to ZipRecruiter salary data. Most workers in this role earn between $51.11 and $68.27 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.

Infographic showing various Google Cloud Machine Learning Engineer job openings in Pitman, NJ as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $124,661 per year, or $59.9 per hour.

GenAI Python Systems Engineer - Experienced Associate

Pwc

Philadelphia, PA • On-site

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

The Opportunity
As a GenAI Python Systems Engineer - Experienced Associate, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale, enabling informed decision-making and innovation.
As an Associate, you will focus on learning and contributing to client engagements while developing your skills and knowledge to deliver quality work. You will adapt to working with a variety of clients and team members, each presenting unique challenges and opportunities for growth. You are expected to take ownership and consistently deliver work that drives value for our clients and success as a team, building a personal brand and opening doors to more opportunities.
In this role at PwC, you will engage in designing AI systems, data wrangling, and software implementation to enable scalable AI models. You will be part of a fast-paced environment, where every experience is an opportunity to learn and grow, contributing to the firm's success and your professional development.
Responsibilities
- Designing and implementing AI systems using Python and machine learning libraries such as Scikit-Learn
- Developing data pipelines and models to transform raw data into actionable insights for clients
- Collaborating with team members to support AI-driven automation and cognitive solutions
- Conducting complex data analysis to discern patterns and inform decision-making
- Applying programming languages to build scalable AI and machine learning solutions
- Confirming data quality and integrity throughout the development process
- Engaging in active listening and accepting feedback to enhance personal growth and team performance
- Building commercial awareness by understanding how the business works and its impact on client solutions
- Upholding professional and technical standards, including the Firm's code of conduct and independence requirements
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in Python and Scikit-Learn for machine learning
- Utilizing AI implementation skills in client-facing projects
- Engaging in complex data analysis and data modeling
- Applying machine learning libraries to enhance data-driven solutions
- Adapting to fast-paced environments with diverse client needs

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK