ZipRecruiter

Log In

1

Machine Learning Consultant Jobs in Philadelphia, PA

Deloitte

Cyber - SecOps - Consultant

Philadelphia, PA · On-site

Work you'll do As a Cyber SecOps Consultant on the Cyber Defense & Resilience team, you will be ... Developing and applying analytics, machine learning, and data science techniques to cyber use cases ...

Slalom Consulting

General Information

Philadelphia, PA · On-site

$60.50 - $78.75/hr

Remote / Hybrid (Client-Facing Consulting Engagement) Employment Type: Full-Time Consultant ... Own the end-to-end machine learning production lifecycle, including data ingestion, feature ...

SAP SE

AI Consultant Specialist

Newtown Square, PA · On-site

$90 - $198.50/hr

Proven experience in developing and optimizing machine learning models * Strong competence with ... Computer Science, SAP, Equity, Consulting, Technology, Research, Finance, Service #J-18808-Ljbffr

SEI

Data and Analytics Consultant

Philadelphia, PA · On-site

Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder ... Our consultants have a "seat at the table" and contribute to growing our business in ways that ...

Litera

Legal Product Consultant

Philadelphia, PA

$110K - $138K/yr

Why this Role Matters We are seeking a Legal Product Consultant to join our Legal Knowledge ... Experiment with and test generative AI and machine learning technologies to enhance product ...

next page

Showing results 1-20

All JobsMachine Learning Consultant JobsMachine Learning Consultant Jobs in Philadelphia, PA

Machine Learning Consultant information

See Philadelphia, PA salary details

$11

$60

$101

How much do machine learning consultant jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for machine learning consultant in Philadelphia, PA is $60.79, according to ZipRecruiter salary data. Most workers in this role earn between $43.07 and $83.71 per hour, depending on experience, location, and employer.

Is machine learning a high paying job?

Machine learning consultants typically earn high salaries due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

What does a machine learning consultant do?

A Machine Learning Consultant helps businesses implement AI and machine learning solutions to improve decision-making, automate processes, and enhance efficiency. They analyze data, develop models, and provide strategic recommendations tailored to a company's needs. Their role often involves working with engineers, data scientists, and stakeholders to integrate machine learning into existing systems.

What are the key skills and qualifications needed to thrive as a machine learning consultant?

To thrive as a Machine Learning Consultant, you need strong expertise in machine learning algorithms, data analysis, and programming skills—typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud platforms, as well as relevant certifications like AWS Certified Machine Learning or TensorFlow Developer, are highly beneficial. Excellent communication, problem-solving, and project management skills help consultants translate complex technical concepts for clients and efficiently drive projects. These skills and qualities are crucial for delivering effective machine learning solutions that address business needs and foster client trust.

How much does a machine learning consultant make?

The average salary for a machine learning consultant ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior consultants with specialized skills in programming languages like Python and tools such as TensorFlow can earn higher salaries, especially in competitive markets.

What does a typical project look like for a machine learning consultant?

As a Machine Learning Consultant, your projects often begin with collaborating closely with clients to understand their data challenges and business goals. You might be tasked with activities such as setting up data pipelines, selecting and training machine learning models, and presenting actionable insights. Projects can vary in length and scope, ranging from short-term advisory engagements to long-term implementations, and often involve teamwork with data engineers, business analysts, and IT departments. This dynamic environment means you need to balance hands-on technical work with client-facing responsibilities, ensuring successful delivery and measurable impact.

What are the most commonly searched types of Machine Learning Consultant jobs in Philadelphia, PA?

The most popular types of Machine Learning Consultant jobs in Philadelphia, PA are:

What are popular job titles related to Machine Learning Consultant jobs in Philadelphia, PA?

For Machine Learning Consultant jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Consultant jobs in Philadelphia, PA look for?

The top searched job categories for Machine Learning Consultant jobs in Philadelphia, PA are:

Machine Learning Consultant jobs near you
Infographic showing various Machine Learning Consultant job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 25% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,447 per year, or $60.8 per hour.

Machine Learning / Data Science Engineer

CapTech Consulting

Philadelphia, PA • On-site

$115K - $138K/yr

Full-time

Medical, Retirement, PTO

Re-posted 22 hours ago

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Machine Learning Engineer position include:
  • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  • Deconstructing client needs into data-driven processes/models and analytical measures.
  • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
  • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
  • Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements.
  • Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications
  • Bachelor's degree or equivalent combination of education and experience.
  • Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
  • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
  • Proficiency with containerization (e.g., Docker) and microservices.
  • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
  • Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
  • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
  • Knowledge of DevOps and automation best practices.
  • Knowledge of statistics and statistical modeling methods.
  • Knowledge of model management and model versioning best practices.
  • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
  • Experience with prompt engineering, MCP and RAG, and agentic AI architectures
  • Strong understanding of conversational UX and prompt evaluation metrics
  • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
  • Experience with multi-agent orchestration

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Apply