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Remote Python Machine Learning Jobs in Mesa, AZ (NOW HIRING)

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

... machine learning models that improve cost, quality, and patient outcomes. Your role · Design ... using Python, dbt, Dataflows, or Fabric/ADF pipelines. · Deep knowledge of healthcare data ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science ...

Develops scalable, automated solutions using machine learning, simulation, and optimization to ... Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.

Develops scalable, automated solutions using machine learning, simulation, and optimization to ... Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code. * Comfortable working with large datasets for machine learning applications. Bonus/nice to ...

Develops scalable, automated solutions using machine learning, simulation, and optimization to ... Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.

Develops scalable, automated solutions using machine learning, simulation, and optimization to ... Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code. * Comfortable working with large datasets for machine learning applications. Bonus/nice to ...

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Collaborate with data science and analytics teams to support machine learning, AI, and advanced ... Strong proficiency in SQL and Python. * Experience with relational and non relational database ...

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Collaborate with data science and analytics teams to support machine learning, AI, and advanced ... Strong proficiency in SQL and Python. * Experience with relational and non relational database ...

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Collaborate with data science and analytics teams to support machine learning, AI, and advanced ... Strong proficiency in SQL and Python. * Experience with relational and non relational database ...

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

... machine learning, and AI-driven workflows and will be responsible for designing and implementing ... You are an expert coder (Python and SQL) who grew up building software. 4+ years deep Python and ...

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

... machine learning, and AI-driven workflows and will be responsible for designing and implementing ... You are an expert coder (Python and SQL) who grew up building software. 4+ years deep Python and ...

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

... machine learning, and AI-driven workflows and will be responsible for designing and implementing ... You are an expert coder (Python and SQL) who grew up building software. 4+ years deep Python and ...

Showing results 41-60

Remote Python Machine Learning information

See Mesa, AZ salary details

$13

$58

$85

How much do remote python machine learning jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for remote python machine learning in Mesa, AZ is $58.16, according to ZipRecruiter salary data. Most workers in this role earn between $47.93 and $66.06 per hour, depending on experience, location, and employer.

What is a remote Python machine learning?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What does a remote Python machine learning professional do?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What are the key skills and qualifications needed to thrive in remote Python machine learning?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What are popular job titles related to Remote Python Machine Learning jobs in Mesa, AZ?

For Remote Python Machine Learning jobs in Mesa, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Python Machine Learning jobs in Mesa, AZ look for?

The top searched job categories for Remote Python Machine Learning jobs in Mesa, AZ are:

Lead Data & AI Engineer

Phoenix, AZ • On-site, Remote

Phoenix Staff
Recruiting and Staffing Services • 11 - 50 employees

$50 - $60/hr

Contractor

Re-posted 14 days ago


Job description

Title: Lead Data & AI Engineer

Location: Phoenix, AZ (hybrid remote)

Type: 6-month contract to hire

Pay: $50-60/hr

We’re looking for a Lead Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within complex healthcare environments. The position focuses on building modern data platforms, integrating diverse clinical and claims datasets, and operationalizing machine learning models that improve cost, quality, and patient outcomes.

Your role

·       Design, implement, and optimize data platforms using Snowflake and Microsoft Fabric, including Lakehouses, Warehouses, OneLake, and engineering pipelines.

·       Build and maintain scalable ingestion frameworks for batch and streaming data sources such as APIs, ADLS, SFTP, and event streams with full lineage and governance.

·       Develop secure data environments that comply with HIPAA and PHI requirements using role-based access, masking, tokenization, and de-identification.

·       Create conceptual, logical, and physical data models using dimensional, normalized, and data vault approaches.

·       Transform and normalize structured and unstructured healthcare data including claims, eligibility, enrollment, provider, and clinical documentation.

·       Integrate and harmonize data using FHIR, HL7, X12/EDI 837/835, NCPDP, and CMS standards across payer, provider, EHR, and HIE systems.

·       Build and deploy machine learning pipelines for risk modeling, utilization forecasting, fraud detection, quality measurement, and care gap analysis.

·       Operationalize models with strong MLOps practices including versioning, CI/CD, monitoring, and drift detection.

·       Implement data cataloging, metadata management, lineage tracking, and quality validation using tools such as Microsoft Purview or equivalent.

·       Monitor and optimize pipeline performance, cost, and reliability across Snowflake and Fabric environments.

·       Collaborate with clinicians, actuaries, product teams, and analysts to translate business needs into scalable technical solutions.

·       Document architecture, data mappings, and design standards while mentoring engineers and contributing to enterprise best practices.

What you’ve got

·       8+ years of experience in data engineering or analytics with at least 5 years of hands-on Snowflake expertise including virtual warehouses, tasks, streams, Snowpipe, RBAC, masking, and data sharing.

·       2+ years of experience with Microsoft Fabric including OneLake, Lakehouses, Warehouses, Dataflows Gen2, Notebooks, and Pipelines.

·       Advanced SQL skills with strong experience in ETL/ELT development using Python, dbt, Dataflows, or Fabric/ADF pipelines.

·       Deep knowledge of healthcare data standards including CMS datasets, FHIR, HL7, X12/EDI, provider data, eligibility, and claims processing.

·       Strong data modeling experience including dimensional modeling, SCD types, surrogate keys, 3NF, and data vault methodologies.

·       Experience building and deploying machine learning solutions using tools such as scikit-learn, PyTorch, TensorFlow, Azure ML, or Fabric ML.

·       Practical experience managing HIPAA compliance, PHI handling, auditing, and secure access controls within cloud data environments.

·       Experience working with both structured data formats such as Parquet and CSV and unstructured data such as clinical notes and PDFs.

·       Strong communication skills with the ability to produce mapping specifications, lineage documentation, and present technical trade-offs clearly.

·       Preferred: Experience with Epic or Cerner integrations, HEDIS or risk adjustment programs, MLOps tools such as MLflow or GitHub Actions, Power BI semantic modeling, and relevant Snowflake or Microsoft certifications.

To find more great tech-centric jobs, please visit www.phoenixstaff.com.