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Machine Learning Architect Jobs (NOW HIRING)

Machine Learning Engineer

Honolulu, HI · On-site +1

$110K - $145K/yr

Document model architecture, experiments, and deployment processes. * Stay updated with the latest advancements in AI and machine learning technologies. Required Qualifications * Bachelor's or Master ...

Understanding of data structures, data modelling and software architecture * Deep knowledge of math ... Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit ...

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ... Solid software engineering fundamentals (architecture, Git workflows, testing, code review)

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within ... learning architecture design to training dynamics and execution strategy. Your innovations will ...

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within ... learning architecture design to training dynamics and execution strategy. Your innovations will ...

Machine Learning Engineer

San Mateo, CA · On-site

$110 - $165/hr

  • Medical

  • Dental

  • Vision

  • PTO

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift ... Architect model‑serving infrastructure and backend components that enable fast, reliable ...

Architect - Machine Learning and Data

$65.25 - $84/hr

Coretek is seeking an Architect, Machine Learning and Data to lead the design of production machine learning and generative AI platforms on Microsoft Azure and Microsoft Fabric. This role sits at the ...

Machine Learning Engineer

Alexandria, VA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... existing data architecture. RESPONSIBILITIES AND DUTIES - Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] Deliver innovative ...

Architect Physics Foundation Models: Design and train deep learning models. * Build the ECAD Data ... Scientific Machine Learning (SciML). * Deep Learning Frameworks: 4+ years of expert-level ...

Architect Physics Foundation Models: Design and train deep learning models. * Build the ECAD Data ... Scientific Machine Learning (SciML). * Deep Learning Frameworks: 4+ years of expert-level ...

Machine Learning Engineer

Atlanta, GA · On-site

  • Medical

  • Retirement

  • PTO

Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex ... Collaborate with the product team, architects, and others to understand the opportunities and ...

Machine Learning Engineer

Atlanta, GA · On-site

  • Medical

  • Retirement

  • PTO

Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex ... Collaborate with the product team, architects, and others to understand the opportunities and ...

Machine Learning Principal Solutions Architect

OR · On-site +1

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for a Principal Solutions Architect to join our Machine Learning team. In this role, you will lead the architecture, implementation, and lifecycle management of AI/ML applications that ...

Showing results 41-60

Machine Learning Architect information

See salary details

$46.5K

$128.8K

$201.5K

How much do machine learning architect jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What does a machine learning architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What skills and qualifications are needed to be a machine learning architect?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What is the salary of a machine learning architect?

The salary of a machine learning architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, cloud platforms, or specific tools may earn higher compensation, often exceeding $180,000 per year.
More about Machine Learning Architect jobs

What cities are hiring for Machine Learning Architect jobs?

Cities with the most Machine Learning Architect job openings:

What are the most commonly searched types of Machine Learning Architect jobs?

The most popular types of Machine Learning Architect jobs are:

What states have the most Machine Learning Architect jobs?

States with the most job openings for Machine Learning Architect jobs include:

Infographic showing various Machine Learning Architect job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

Machine Learning Engineer

Vultus Inc

Honolulu, HI • On-site, Remote

$110K - $145K/yr

Full-time

Re-posted 3 hours ago


Job description

Machine Learning EngineerJob Summary

We are looking for a talented Machine Learning Engineer to design, develop, and deploy scalable machine learning models that solve complex business problems. The ideal candidate should have experience in data preprocessing, model development, feature engineering, and deploying ML solutions in production environments. You will work closely with data scientists, software engineers, and product teams to build intelligent applications.

Key Responsibilities
  • Design, build, and deploy machine learning models for predictive analytics and automation.
  • Collect, clean, and preprocess structured and unstructured datasets.
  • Perform feature engineering and model optimization to improve performance.
  • Train, validate, and evaluate machine learning models using industry best practices.
  • Deploy ML models using cloud platforms and containerization technologies.
  • Monitor model performance and retrain models as needed.
  • Collaborate with cross-functional teams to understand business requirements.
  • Develop APIs and services for model inference.
  • Document model architecture, experiments, and deployment processes.
  • Stay updated with the latest advancements in AI and machine learning technologies.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 3–6 years of experience in Machine Learning or Artificial Intelligence.
  • Strong programming skills in Python.
  • Experience with supervised and unsupervised learning algorithms.
  • Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of statistics, probability, and linear algebra.
  • Experience with SQL and NoSQL databases.
  • Familiarity with REST APIs and microservices architecture.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Understanding of CI/CD pipelines for ML deployment.
Primary Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • Feature Engineering
  • Model Deployment
  • Data Preprocessing
  • SQL
  • Docker
  • Kubernetes
  • Git
Secondary Skills
  • NLP (Natural Language Processing)
  • Computer Vision
  • MLOps
  • Apache Spark
  • MLflow
  • Airflow
  • Kafka
  • Azure ML
  • AWS SageMaker
  • Google Vertex AI
  • FastAPI
  • Flask
Preferred Qualifications
  • Experience with large-scale ML model deployment.
  • Knowledge of Generative AI and Large Language Models (LLMs).
  • Experience with vector databases such as Pinecone, Milvus, or FAISS.
  • Familiarity with prompt engineering and Retrieval-Augmented Generation (RAG).
  • Experience with Agile/Scrum methodologies.
Experience

3–6 Years

Employment Type

Full-Time

Work Location

Remote / Hybrid / On-site

Salary Range

$110,000 – $145,000 per year (Based on experience and location)