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Python Consulting Jobs in Philadelphia, PA (NOW HIRING)

General Information

Philadelphia, PA ยท On-site

$60.50 - $78.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Remote / Hybrid (Client-Facing Consulting Engagement) Employment Type: Full-Time Consultant ... Strong Python development skills and proficiency with machine learning frameworks such as: Scikit ...

Jr. DevOps Engineer

Pennington, NJ

$53.25 - $73/hr

Halo Group's experienced consultants in Detroit, Atlanta and Dallas specialize in all areas of ... python, ruby, or Groovy. - At least 2 years of experience with responsive web applications - Good ...

Consultant NodeJs with AWS (cloud)

Philadelphia, PA ยท On-site

$51.75 - $66.75/hr

We are seeking a highly skilled and experienced Consultant NodeJS with AWS (cloud) to join our team ... Python or Java * Experience with other Java technologies such as JSF framework, AJAX, Spring ...

Security Architect - Consultant 9309

Philadelphia, PA ยท Remote

$66.50 - $86/hr

* Location: 100% Remote. -Security Architect - Consultant 9309 . Employment Type: W2 Only (No ... Python and Bash 5+ years of experience with Linux, Windows, network security protocols and ...

Security Architect - Consultant 9309

Trenton, NJ ยท Remote

$66.50 - $86/hr

* Location: 100% Remote. -Security Architect - Consultant 9309 . Employment Type: W2 Only (No ... Python and Bash 5+ years of experience with Linux, Windows, network security protocols and ...

Advanced proficiency in Excel; experience with programming (e.g., Python, R), databases * Demonstrated ability to mentor and develop junior staff in technical and consulting skills What we can offer ...

Showing results 41-60

Python Consulting information

See Philadelphia, PA salary details

$13

$59

$87

How much do python consulting jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for python consulting in Philadelphia, PA is $59.15, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.21 per hour, depending on experience, location, and employer.

What is Python consulting?

Python consulting involves providing expert advice, guidance, and solutions related to the Python programming language. Consultants help businesses and organizations develop, optimize, and maintain Python-based software, troubleshoot issues, and implement best practices. They may offer services such as code reviews, architecture design, performance tuning, and training for development teams. Python consultants often work on a contract basis, addressing specific challenges or supporting long-term projects. Their expertise can help organizations leverage Python's capabilities efficiently and effectively.

What is the difference between Python Consulting vs Python Developer?

AspectPython ConsultingPython Developer
Required CredentialsTypically requires experience, certifications in Python, and consulting skillsRequires proficiency in Python, often a degree in computer science or related field
Work EnvironmentClient sites, consulting firms, or remote; project-basedIn-house or remote development teams; focused on coding and software development
Employer & Industry UsageConsulting firms, tech companies, agenciesTech companies, startups, software firms
Common Search & ComparisonOften compared for project-based work and client interactionFocused on coding, software creation, and application development

Python Consulting involves advising clients on Python projects, providing expertise, and managing project delivery. Python Developers primarily focus on writing code, developing applications, and maintaining Python-based software. While both roles require strong Python skills, consulting emphasizes client interaction and project management, whereas development centers on coding and technical implementation.

What are the key skills and qualifications needed to thrive as a Python consultant, and why are they important?

To thrive as a Python Consultant, you need advanced proficiency in Python programming, a solid understanding of software development principles, and experience with frameworks like Django or Flask, usually supported by a relevant degree or certifications. Familiarity with tools such as Git, cloud platforms (e.g., AWS, Azure), and containerization technologies (like Docker) is typically required. Strong problem-solving abilities, effective communication, and adaptability are essential soft skills for working with diverse clients and teams. These skills and qualities are vital for delivering robust solutions, addressing client needs efficiently, and ensuring successful project outcomes.

What are some common challenges faced by Python consultants when working with client teams?

Python consultants often encounter challenges such as understanding legacy codebases, aligning with diverse client expectations, and integrating new Python solutions into existing systems. Effective communication is key, as consultants need to translate technical recommendations to both technical and non-technical stakeholders. Additionally, balancing project timelines while ensuring code quality and best practices can be demanding, especially in fast-paced environments. Successful consultants are adaptable, collaborative, and proactive in identifying and addressing potential roadblocks.

What are popular job titles related to Python Consulting jobs in Philadelphia, PA?

For Python Consulting jobs in Philadelphia, PA, the most frequently searched job titles are:

What cities near Philadelphia, PA are hiring for Python Consulting jobs?

Cities near Philadelphia, PA with the most Python Consulting job openings:

Infographic showing various Python Consulting job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 13% Part Time, 1% Temporary, and 6% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $123,040 per year, or $59.2 per hour.

General Information

Slalom Consulting

Philadelphia, PA โ€ข On-site

$60.50 - $78.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 18 days ago


Job description

Description and Requirements
Job Description
AI/ML Ops Engineer
Location: Remote / Hybrid (Client-Facing Consulting Engagement)
Employment Type: Full-Time Consultant
Duration: Project Based Contract Through End of Year with Likely Extension
About Us
Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six+ countries and 43+ markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at Slalom.com.
About the Role
We are seeking an experienced AI/ML Engineer to design, deploy, and operate production-grade machine learning and Generative AI solutions in a highly regulated enterprise environment. This role is focused on transforming validated machine learning models into scalable, governed, and monitored production systems that drive critical business outcomes.
The ideal candidate is a hands-on engineer with deep expertise in MLOps, model deployment, Azure Databricks, and cloud-native machine learning platforms. You will work within agile, cross-functional teams alongside data scientists, data engineers, and business stakeholders to deliver reliable and scalable AI solutions.
This is an opportunity to work on complex analytics challenges involving forecasting, optimization, decision support, and advanced AI applications at enterprise scale.
What You'll Do
  • Design, build, and deploy production-grade machine learning and Generative AI solutions that solve complex business challenges.
  • Own the end-to-end machine learning production lifecycle, including data ingestion, feature engineering, model deployment, monitoring, and lifecycle management.
  • Develop, maintain, and optimize MLOps pipelines using Azure Databricks, MLflow, Unity Catalog, and automated CI/CD processes.
  • Implement scalable model-serving architectures, including real-time APIs, batch inference pipelines, and feature stores.
  • Convert data science prototypes and experimental notebooks into maintainable, production-ready software solutions.
  • Collaborate with data engineering teams to ensure data pipelines, streaming architectures, and feature management platforms meet performance and quality requirements.
  • Establish and maintain best practices for model versioning, reproducibility, deployment automation, monitoring, drift detection, A/B testing, and automated retraining.
  • Build and manage online and batch model-serving endpoints, compute infrastructure, monitoring frameworks, and performance dashboards.
  • Ensure compliance with data governance, privacy, security, and responsible AI standards.
  • Communicate technical decisions, architecture patterns, and trade-offs effectively to both technical and non-technical stakeholders.

What You'll Bring
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Mathematics, Statistics, Data Science, or a related quantitative discipline.
  • 5+ years of hands-on experience in Machine Learning Engineering, MLOps, or related software engineering roles supporting production AI systems.
  • Demonstrated experience deploying and operating machine learning solutions in enterprise environments.
  • Strong Python development skills and proficiency with machine learning frameworks such as: Scikit-learn, PyTorch, and TensorFlow
  • Experience developing and deploying APIs and microservices using frameworks such as: FastAPI, Flask, MLflow Model Serving
  • Experience deploying and supporting both front-end and back-end applications in Azure environments.
  • Deep expertise with Azure Databricks, including Apache Spark, Delta Lake, Databricks, Unity Catalog, Feature Store, Cluster management and optimization
  • Strong hands-on experience with MLflow for Experiment tracking, Model registry, Model packaging, and Automated deployment
  • Experience implementing CI/CD pipelines using Azure DevOps and/or GitHub Actions.
  • Strong knowledge of Git-based development workflows, branching strategies, and pull request processes.
  • Experience building, packaging, and deploying containerized applications using Docker.
    • Working knowledge of Azure cloud services, including Azure Data Lake Storage Gen2 (ADLS), Azure Key Vault, Azure Monitor, Cloud cost optimization practices
  • Excellent communication, collaboration, and problem-solving skills.
  • Ability to operate independently and lead technical delivery efforts within agile, cross-functional teams.

Preferred Qualifications
  • Experience delivering Generative AI or Large Language Model (LLM) solutions in production environments.
  • Experience developing Retrieval Augmented Generation (RAG) applications and AI-powered decision-support tools.
  • Experience integrating machine learning services with user-facing applications and analytics platforms.
  • Knowledge of model governance, responsible AI practices, and regulated software development environments.
  • Experience supporting production workloads requiring high availability, scalability, and observability.

Compensation and Benefits
Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses.
Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is 80-100/hr. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
EEO and Accommodations
Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration
for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements.
Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the
selection process. Please advise the talent acquisition team if you require accommodations during the interview process.