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Google Cloud Machine Learning Engineer Jobs in Dallas, TX

Tiger Analytics Inc.

Machine Learning Engineer

Plano, TX · On-site

Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join ... Strong understanding of cloud-native applications , container orchestration (ECS, Docker) , and AWS ...

Tiger Analytics Inc.

Machine Learning Engineer

Plano, TX · On-site

Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join ... Strong understanding of cloud-native applications , container orchestration (ECS, Docker) , and AWS ...

Tiger Analytics

Machine Learning Engineer

Plano, TX · On-site

$125 - $150/hr

Overview Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI ... Strong understanding of cloud-native applications , container orchestration (ECS, Docker) , and AWS ...

Prophecy Technologies

AI/ML Engineer

Plano, TX · On-site

$109K - $131K/yr

... cloud-based machine learning systems. This role offers the opportunity to work on cutting-edge AI ... AWS / Azure / Google Cloud Platform

Citi

Machine Learning Engineer Vice President

Irving, TX

$142K - $213K/yr

We are seeking a highly skilled and motivated Machine Learning Engineer to join our technology team ... Experience with various cloud platforms (e.g., AWS, GCP, Azure) and architectures (e.g., single ...

Redolent, Inc.

Google Cloud DevOps Engineer

Irving, TX · On-site

$50.75 - $69.50/hr

Google Cloud DevOps- Irving, TX 4+ years of software engineering and DevOps experience in enterprise environments. -2+ years of GCP experience in enterprise environments. -Experience designing and ...

Bespoke Labs

Machine Learning Engineer

Dallas, TX

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Bespoke Labs

Machine Learning Engineer

Arlington, TX · On-site

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Bespoke Labs

Machine Learning Engineer

Mckinney, TX · On-site

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Bespoke Labs

Machine Learning Engineer

Arlington, TX

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Bespoke Labs

Machine Learning Engineer

Mckinney, TX · On-site

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

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All JobsGoogle Cloud Machine Learning Engineer JobsGoogle Cloud Machine Learning Engineer Jobs in Dallas, TX

Google Cloud Machine Learning Engineer information

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

As of Sep 7, 2026, the average hourly pay for google cloud machine learning engineer in Dallas, TX is $57.64, according to ZipRecruiter salary data. Most workers in this role earn between $49.13 and $65.67 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 Dallas, TX?

The most popular types of Google Cloud Machine Learning Engineer jobs in Dallas, TX are:

What are popular job titles related to Google Cloud Machine Learning Engineer jobs in Dallas, TX?

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

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The top searched job categories for Google Cloud Machine Learning Engineer jobs in Dallas, TX are:

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Cities near Dallas, TX 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 Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,449 per year, or $62.2 per hour.

Junior Machine Learning Engineer

MyFunded Futures

Plano, TX • On-site

Full-time

Posted 6 days ago

Key responsibilities

  • Develop, test, validate, and maintain machine learning models.

  • Build and maintain data pipelines and analytical datasets on the company's cloud data platform.

  • Evaluate model performance and document assumptions, methods, and limitations.

Job description

At My Funded Futures, we're transforming the world of proprietary trading by giving traders the capital, tools, and community they need to succeed.
We blend innovation, transparency, and performance to create opportunity - helping traders scale faster and smarter. If you're passionate about fintech, financial markets, and data-driven growth, you'll fit right in.
Explore our open roles below and see how you can help us shape the future of funded trading.
The Junior ML Engineer will support the Company's data science function by developing, validating, and maintaining machine learning models and the data pipelines behind them. This is a hands-on, applied role: you will work with real data on problems that directly shape the product and the business, and you will be expected to explain what your models do and why they can be trusted.
You will partner closely with the Data Science and Analytics team and with stakeholders across the organization, translating business questions into well-defined analytical problems and presenting results in terms decision-makers can act on.
This role is ideal for someone early in their career who has already built and shipped machine learning models and who wants broader exposure across modeling, analytics, and data engineering.
Key Responsibilities
  • Develop, test, validate, and maintain machine learning models under the guidance of senior team members.
  • Build and maintain data pipelines and analytical datasets on the Company's cloud data platform.
  • Evaluate model performance rigorously and document assumptions, methods, and limitations.
  • Support statistical analysis, forecasting, and experimentation to inform business decisions.
  • Present technical findings clearly to non-technical audiences.
  • Contribute to standards for model documentation, validation, and monitoring.
Qualifications
  • Bachelor's degree (or equivalent) in computer science, mathematics, engineering, or a related field, with coursework in machine learning or statistical learning. Graduate degree is a plus.
  • Strong Python and PySpark skills, with the ability to write clean, tested, maintainable code.
  • Hands-on experience with a cloud data platform (Databricks, Snowflake, Fabric, or similar)
  • Strong SQL, including window functions and multi-table joins.
  • Solid understanding of core ML concepts: cross-validation, overfitting, class imbalance, data leakage (including in time-ordered data), and choosing evaluation metrics appropriate to the problem.
  • Hands-on experience with:
    • Gradient-boosted trees (XGBoost, LightGBM)
    • Logistic regression, support vector machines, k-nearest neighbors
    • Clustering methods (k-means and others)
  • Experience with some of the following: survival / time-to-event analysis, experiment design and causal inference, simulation and Monte Carlo methods, probability calibration, Bayesian or hierarchical modeling, model monitoring and drift detection
  • Experience taking a model from development into a scheduled or production environment
  • Docker, CI/CD, and workflow orchestration experience
  • Ability to explain model behavior, including feature importance, calibration, and limitations.
  • Ability to gather and present technical results to a non-technical audience.
  • Proven experience as a machine learning engineer or in a similar role is a plus.
  • Fintech, trading, or financial services background is a plus.

EEO Statement
Equal Employment Opportunity
My Funded Futures is an equal opportunity employer. We believe that diversity drives innovation and success. We are committed to building an inclusive environment where every team member feels valued, respected, and supported-regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.
Pay Transparency
In compliance with pay transparency laws, My Funded Futures provides compensation ranges in job postings where required. Final compensation may vary based on experience, qualifications, and location. We also offer comprehensive benefits and performance-based incentives.
Accessibility / Accommodation Statement
If you require assistance or an accommodation during the application process, please contact our HR team at careers@myfundedfutures.com.
Work Authorization
Applicants must be authorized to work in the applicable country without employer sponsorship. The Company does not offer visa sponsorship or immigration assistance for this position.

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