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Freelance Machine Learning Engineer Jobs in Rochester, NY

Innovative Solutions

AI Solutions Engineer

Rochester, NY · On-site +1

$120K - $150K/yr

Solutions Architect Associate/Professional, Machine Learning Specialty, or Developer Associate (preferred) * Background in healthcare, financial services, or regulated industries with understanding ...

D3 Engineering

Engineering Program Manager

Rochester, NY · On-site

$101.10 - $146.70/hr

Master of Science or PhD in Computer Vision, Machine/Deep Learning, Computer Science, Computer/Electrical/Software Engineering, or a related field. * Experience with autonomous/industrial robotic ...

New

Innovative Solutions

AI Solutions Engineer

Rochester, NY · Remote

$120K - $150K/yr

Solutions Architect Associate/Professional, Machine Learning Specialty, or Developer Associate (preferred) * Background in healthcare, financial services, or regulated industries with understanding ...

New

Innovative Solutions

AI Solutions Engineer

Rochester, NY · On-site +1

$120K - $150K/yr

Solutions Architect Associate/Professional, Machine Learning Specialty, or Developer Associate (preferred) * Background in healthcare, financial services, or regulated industries with understanding ...

New

Fermilab

Cryogenic Engineer

Batavia, NY · On-site

$88K - $116K/yr

What your day-to-day as a Cryogenic Engineer at Fermilab will look like: * Operating Helium ... Knowledge of Artificial Intelligence and Machine Learning tools, preferred Physical Activity and ...

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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.

Global Quantitative Strategies | Post Doctorate | Quantitative Researcher

Citadel LLC

Rochester, NY • On-site

$200 - $300/hr

Other

Medical, Life, Retirement

Posted 3 days ago

New

Job description

About Global Quantitative Strategies (GQS)

GQS is the quantitative investment business of Citadel. Founded in 2012, GQS has rapidly grown to become one of Citadel’s core investment strategies and one of the top quantitative investment teams in the world. Agile teams of researchers, engineers, and traders develop robust systems that allow us to operate performant at scale and apply advanced statistical and quantitative modeling techniques to identify and act on investment opportunities.

Quantitative Researchers (QRs)

Quantitative Researchers (QRs) specialize in a variety of areas, including but not limited to: using data analysis and machine learning skills to build predictive models, driving construction of a complex multi‑asset portfolio by utilizing large scale portfolio optimization techniques, and developing sophisticated optimization algorithms. Researchers with an exceptional record of achievement in their respective fields and a drive to apply quantitative techniques to investing are encouraged to apply to GQS.

Required Skills and Qualifications
  • Currently a postdoctoral researcher in physics, computer science, machine learning, mathematics, statistics, engineering, or a related field
  • Strong mathematical and statistical modeling skills
  • Proficiency in coding (C++ or Python)
  • Interest in conducting innovative and impactful research focused on solving real‑world problems
  • Relentless focus on continuous learning and making an impact; ability to question the status quo
  • Passion for financial markets and driven to analyze and model drivers of price formation and risk

In accordance with applicable law, the base salary range for this role is $200,000 to $300,000.

In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax‑free savings plans, and access to other healthcare programmes.

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