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Freelance Machine Learning Engineer Jobs in Rochester, NY

Pwc

AI Engineer

Rochester, NY · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

Pwc

AI Solutions Engineering Delivery Lead

Rochester, NY · On-site

$101K - $133K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

CTIO AI Engineering Manager

Rochester, NY · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

NGA AI Engineer Manager

Rochester, NY · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

US Tech - AI Engineering Senior Associate

Rochester, NY · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

US Tech - AI Engineering Manager

Rochester, NY · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Stellantis

Technology Manager

Hopewell, NY · On-site

This role requires hands-on expertise in programming, systems integration, analytics, and the implementation of cutting-edge technologies such as artificial intelligence, machine learning, and ...

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All JobsMachine Learning Engineer JobsFreelance Machine Learning Engineer JobsFreelance Machine Learning Engineer Jobs in Rochester, NY

Freelance Machine Learning Engineer information

See Rochester, NY salary details

$14

$47

$130

How much do freelance machine learning engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for freelance machine learning engineer in Rochester, NY is $47.07, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $60.96 per hour, depending on experience, location, and employer.

What does a freelance machine learning engineer do?

A Freelance Machine Learning Engineer designs, develops, and implements machine learning models and algorithms for clients on a project basis. They work independently to analyze data, build predictive models, and help businesses solve complex problems using AI and machine learning techniques. Their responsibilities may also include data preprocessing, model evaluation, and deploying solutions into production environments. Freelance Machine Learning Engineers often collaborate remotely with teams and must manage their own schedules and client relationships.

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

To thrive as a Freelance Machine Learning Engineer, you need expertise in programming (especially Python), a solid grasp of machine learning algorithms, and a relevant academic background such as a degree in computer science, mathematics, or engineering. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP, Azure), and experience with version control systems are typically required. Strong problem-solving, self-management, and client communication skills help set successful freelancers apart. These competencies are crucial for delivering effective solutions, managing projects independently, and building client trust in a competitive market.

How do freelance machine learning engineers typically manage client expectations and project scopes?

Freelance machine learning engineers often work with clients who may not have a deep technical understanding of AI or data science. A common challenge is clearly defining the project scope and deliverables at the outset, ensuring both parties understand what is feasible given the data, time, and budget constraints. Successful freelancers use regular progress updates, milestone-based deliverables, and transparent communication to manage expectations and avoid scope creep. Building trust through clear documentation and setting realistic timelines also helps foster long-term client relationships.

What is the difference between Freelance Machine Learning Engineer vs Data Scientist?

AspectFreelance Machine Learning EngineerData Scientist
CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are a plusUsually holds a degree in statistics, data science, or related areas; certifications in data analysis or visualization are common
Work EnvironmentIndependent, project-based work often remotely for various clientsOften employed full-time in organizations or consulting roles, sometimes freelance
Industry UsageUsed across tech, finance, healthcare, and startups for deploying ML modelsApplied in research, analytics, and strategic decision-making across industries

Freelance Machine Learning Engineers focus on developing and deploying ML models independently for diverse clients, while Data Scientists analyze data to extract insights, often working within organizations. Both roles require strong technical skills, but their work scope and environment differ significantly.

What are the most commonly searched types of Machine Learning Engineer jobs in Rochester, NY? The most popular types of Machine Learning Engineer jobs in Rochester, NY are:
What are popular job titles related to Freelance Machine Learning Engineer jobs in Rochester, NY? For Freelance Machine Learning Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Engineer jobs in Rochester, NY look for? The top searched job categories for Freelance Machine Learning Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Freelance Machine Learning Engineer jobs? Cities near Rochester, NY with the most Freelance Machine Learning Engineer job openings:
Freelance Machine Learning Engineer jobs near you
Infographic showing various Freelance Machine Learning Engineer job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $97,907 per year, or $47.1 per hour.

Applied AI Engineer

Tompkins Community Bank

Batavia, NY • On-site

$105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Tompkins Community Bank rating

8.4

Company rating: 8.4 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

39th of 170 rated banks

Job description

Overview
The Applied AI Engineer is responsible for identifying, developing, and implementing practical artificial intelligence, machine learning, and automation solutions that drive business value, improve operational efficiency, and enhance decision-making. This role partners across the organization to evaluate business opportunities, design and deploy production-ready solutions, integrate third-party AI technologies, and ensure AI systems are secure, scalable, compliant, and operationally sustainable. The position combines technical expertise, business acumen, and innovation to deliver measurable outcomes through AI-enabled transformation.
Responsibilities
  • AI Strategy and Business Value Delivery - Identify, prioritize, and implement high-impact AI and automation opportunities that drive measurable business outcomes, improve decision-making, and support organizational objectives.

  • AI Solution Development and Deployment - Design, build, test, and deploy scalable, production-ready AI solutions, including intelligent assistants, machine learning applications, and workflow automation tools.

  • Operational Efficiency and Process Optimization - Streamline business processes through automation and innovative technologies to increase productivity, reduce manual effort, and improve operational effectiveness.

  • AI Governance, Reliability, and Risk Management - Ensure AI solutions meet security, compliance, governance, monitoring, reliability, and operational readiness standards while supporting responsible AI practices.

AI Opportunity Identification and Solution Delivery
  • Identify, assess, prioritize, and deliver high-value AI and automation initiatives aligned with business objectives.

  • Partner with stakeholders to evaluate opportunities and determine appropriate AI-driven solutions.

  • Develop rapid prototypes and iterate solutions based on business feedback and operational needs.

AI Engineering and Automation Development
  • Design, develop, implement, and support AI-powered applications, intelligent assistants, and workflow automation solutions.

  • Build end-to-end solutions that improve business performance and operational efficiency.

  • Apply machine learning technologies, pre-trained models, and cloud-based AI services where appropriate.

Machine Learning Operations and Platform Management
  • Establish and maintain MLOps practices to support model lifecycle management.

  • Oversee model versioning, experiment tracking, testing, deployment, monitoring, drift detection, and retraining processes.

  • Support reliable and scalable production AI environments.

Governance, Security, and Operational Excellence
  • Ensure all AI solutions comply with governance, security, regulatory, reliability, and operational readiness requirements.

  • Implement monitoring and support processes that promote system stability and long-term performance.

  • Apply responsible AI and data governance principles throughout solution development and deployment.

Vendor Evaluation and Technology Integration
  • Evaluate, select, and implement third-party AI, machine learning, and software-as-a-service solutions.

  • Determine the most effective approach for solving business problems, balancing build, buy, and integration decisions.

  • Integrate vendor technologies into existing business processes, applications, and infrastructure.

Qualifications
  • Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, Information Systems, or a related field required.

  • Equivalent combination of education, professional certifications, and directly related experience may be considered.

  • Minimum of five (5) years of experience in software engineering, data science, applied artificial intelligence, machine learning, or a related technical discipline required.

  • Demonstrated proficiency in Python or a comparable programming language with strong experience integrating APIs and developing end-to-end technology solutions.

  • Experience developing, implementing, or supporting large language models (LLMs), workflow automation, and cloud-based AI/ML services.

  • Working knowledge of machine learning concepts, methodologies, and model deployment practices.

  • Ability to evaluate business requirements and determine the most effective approach, including custom development, third-party solutions, or integrated technology platforms.

  • Understanding of production support concepts including monitoring, performance optimization, reliability, and operational readiness.

  • Availability to participate in an on-call support rotation as required.

  • Experience working in enterprise, financial services, or other regulated environments preferred.

  • Experience with Azure, AWS, Google Cloud Platform, or comparable cloud technologies preferred.

  • Experience with machine learning platforms and tools such as Azure Machine Learning, MLflow, Databricks, SageMaker, Vertex AI, or similar technologies preferred.

  • Experience building and managing machine learning pipelines including data preparation, training, evaluation, deployment, monitoring, and retraining preferred.

  • Experience with AI development platforms and tools such as Microsoft Foundry, Azure OpenAI, Copilot Studio, or similar technologies preferred.

  • Practical experience implementing MLOps practices and supporting production AI environments preferred.

  • Knowledge of data governance, responsible AI principles, and AI risk management practices preferred.

  • Ability to travel periodically to company locations, meetings, training sessions, or business-related events, as needed.

Benefits
  • Medical
  • Dental
  • Vision
  • 401(k) Match
  • Profit Sharing
  • Paid Time Off
  • 11 Holidays
  • Tuition Reimbursement
  • Free Parking throughout Tompkins Community Bank
  • Employee Referrals

EEO Statement
Tompkins is committed to a policy of Equal Employment Opportunity ("EEO") with respect to all team members and applicants for employment and a work environment free from discrimination (including unlawful harassment) based on race, color, religion, sex, sexual orientation, transgender status, gender non-conformity, gender identity, gender expression, national origin, age, marital status, domestic violence victim status, disability, predisposing genetic characteristics, military or veteran status or status in any group protected by federal, state, or local law.
For more information, please click here
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Pay Range
USD $105,000.00 - USD $145,000.00 /Yr.

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