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Machine Learning Architect Jobs (NOW HIRING)

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models Essential Duties & Responsibilities Research, analyze, support, and implement machine ...

Meta is seeking a Machine Learning SoC Architect for its Silicon Engineering organization responsible for building custom silicon solutions that power the infrastructure underpinning Meta's AI and ...

Meta is seeking a Machine Learning SoC Architect for its Silicon Engineering organization responsible for building custom silicon solutions that power the infrastructure underpinning Meta's AI and ...

Meta is seeking a Machine Learning SoC Architect for its Silicon Engineering organization responsible for building custom silicon solutions that power the infrastructure underpinning Meta's AI and ...

Assists in the modeling, architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions. * Assists in the development of ...

Showing results 21-40

Machine Learning Architect information

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$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.

Systems Architect - Data Science & Advanced Analytics

Analytica

Bethesda, MD • On-site

$130 - $160/hr

Other

Re-posted 9 days ago


Job description

Systems Architect – Data Science & Advanced Analytics

Analytica is seeking a Systems Architect – Data Science & Advanced Analytics to provide strategic and technical leadership in designing, implementing, and modernizing enterprise data and advanced analytics solutions. This role serves as the lead architect for data science initiatives, responsible for developing scalable analytics environments, machine learning solutions, and enterprise data architectures with a strong emphasis on Databricks, Apache Spark, and modern cloud-based data platforms.

The ideal candidate will work closely with data scientists, data engineers, business stakeholders, and technical leadership to develop innovative analytics solutions that transform complex data into actionable insights. This individual will provide technical vision, establish best practices, and lead the adoption of advanced analytics and machine learning capabilities across the organization.

Key Responsibilities Data Science Leadership
  • Serve as the Lead Architect for enterprise Data Science and Advanced Analytics initiatives.
  • Develop and drive the organization's vision and strategy for Big Data, Artificial Intelligence, and Machine Learning solutions.
  • Lead the design and implementation of scalable data science environments that support experimentation, model development, validation, and deployment.
  • Provide technical leadership and mentorship to Data Scientists, Machine Learning Engineers, and Analytics teams.
  • Identify emerging technologies and analytical methodologies that improve organizational capabilities and mission outcomes.
Advanced Analytics & Machine Learning
  • Architect end-to-end machine learning and advanced analytics solutions using modern data platforms and distributed computing frameworks.
  • Design scalable workflows for data preparation, feature engineering, model training, evaluation, and production deployment.
  • Collaborate with cross-functional teams to translate business and mission objectives into advanced analytical solutions.
  • Guide the development of predictive models, statistical analyses, optimization models, and AI-driven decision support tools.
  • Establish best practices for model governance, reproducibility, documentation, and performance monitoring.
Data Architecture & Big Data Solutions
  • Design enterprise data architectures that enable large-scale analytics and machine learning workloads.
  • Lead the development of data pipelines and analytical frameworks utilizing Databricks Lakehouse architecture, Delta Lake, and Apache Spark.
  • Ensure data solutions are scalable, reliable, high-performing, and aligned with enterprise architecture standards.
  • Architect integrated data ecosystems that support structured, semi-structured, and unstructured data sources.
  • Lead modernization initiatives that enhance data accessibility, analytical capabilities, and operational efficiency.
Strategic Collaboration
  • Partner with executive leadership and business stakeholders to define data and analytics roadmaps.
  • Translate complex technical concepts into business-focused recommendations and strategic initiatives.
  • Lead architecture reviews and provide expert guidance on enterprise analytics solutions.
  • Foster collaboration between Data Science, Data Engineering, and business teams to deliver high-impact analytical products.
Required Qualifications Experience
  • Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related technical discipline (Master's preferred).
  • 10+ years of progressive experience designing and implementing advanced analytics, machine learning, or Big Data solutions.
  • Demonstrated experience serving as a technical lead or subject matter expert for enterprise data science initiatives.
  • Experience leading technical teams and architecting large-scale analytics platforms.
  • Experience architecting enterprise-scale data science and advanced analytics platforms.
  • Experience developing AI/ML solutions supporting mission-critical or large-scale business operations.
  • Knowledge of modern data governance and responsible AI principles.
  • Experience with experimentation frameworks, model operationalization, and analytical product development.
  • Familiarity with Agile product development and collaborative data science workflows.
Required Technical Skills Data Science & Machine Learning
  • Machine Learning model development and lifecycle management
  • Statistical analysis and predictive modeling
  • Artificial Intelligence and Advanced Analytics methodologies
  • Feature engineering and model evaluation techniques
  • Data exploration and analytical solution design
Big Data & Data Engineering
  • Databricks Lakehouse Platform
  • Apache Spark
  • Delta Lake
  • Distributed data processing frameworks
  • ETL/ELT and modern data pipeline architectures
  • Data modeling and enterprise data architecture
Analytics & Visualization
  • Advanced analytics solution design
  • Business Intelligence and data visualization concepts
  • Dashboard and reporting architecture
  • Data storytelling and insight generation
Leadership
  • Technical strategy development
  • Enterprise architecture governance
  • Cross-functional team leadership
  • Stakeholder engagement and executive communication
  • Mentoring and coaching technical teams
Certifications Databricks
  • Databricks Certified Professional Data Scientist
  • Databricks Certified Professional Data Engineer
  • Databricks Certified Machine Learning Associate
  • Databricks Certified Developer for Apache Spark
Big Data & Analytics
  • Apache Spark or Big Data certifications
  • Tableau Certified Professional (Desktop or Server)
  • Other industry‑recognized data science, analytics, or visualization certifications
Equal Opportunity Employment Statement

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

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