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Senior Machine Learning Engineer Jobs in Buffalo, NY

Pwc

US Tech - AI Engineering Manager

Buffalo, 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 ...

Jobsultant Solutions

Data Analyst

Buffalo, NY · On-site

... Machine Learning and Artificial Intelligence advancements Work with data engineers to design and construct data pipelines for reproducible analysis Leverage cloud computing technologies like ...

Layer Health

Solutions Engineer

Boston, NY

$180K - $200K/yr

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard ... Working alongside another Solutions Engineer on our team, you'll leverage your technical expertise ...

University at Buffalo

Postdoctoral Associate

Buffalo, NY · On-site

$65K - $75K/yr

The Snell Laboratory collaborates closely with AI and classical machine learning developers, and the selected candidate should have expertise or an interest in acquiring expertise in AI and classical ...

Pwc

AI & GenAI Data Scientist - Manager

Buffalo, NY · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

Dupont

Reliability Engineer - Vibration

Buffalo, NY

$99K - $125K/yr

... machine learning applications. * Evaluate emerging technologies and determine applicability for ... Mentor engineers, technicians, and condition monitoring specialists Qualifications Required:

Moog

Senior Project Engineer

Buffalo, NY · On-site

$110 - $145/hr

Senior Project Engineer**Reporting To:**Manager Sr., Elect Engineering**Work Schedule:**Hybrid ... machinery, marine applications, and medical equipment. Headquartered in East Aurora, NY, we employ ...

Datadog

Senior Product Manager - Search

Boston, NY · Hybrid

$119K - $158K/yr

... and machine learning models to produce recommendations. The Search team is relatively new, and ... You have a strong technical background, and sense of the day in the life of an engineer operating ...

Rich Products Corporation

Manager, AI Solutions

Buffalo, NY · On-site

$134 - $200/hr

... engineering, or related technology disciplines. * Experience managing/leading technical teams and delivering data, AI, or technology solutions into production. * Strong knowledge of machine learning ...

RICH PRODUCTS

Manager, AI Solutions

Buffalo, NY · On-site

... engineering, or related technology disciplines. * Experience managing/leading technical teams and delivering data, AI, or technology solutions into production. * Strong knowledge of machine learning ...

Moog, Inc.

Senior Project Engineer

Buffalo, NY · On-site

$95K - $125K/yr

Senior Project Engineer Reporting To: Manager Sr., Elect Engineering Work Schedule: Hybrid ... machinery, marine applications, and medical equipment. Headquartered in East Aurora, NY, we employ ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Buffalo, NY

Senior Machine Learning Engineer information

See Buffalo, NY salary details

$57.6K

$122.6K

$177.8K

How much do senior machine learning engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior machine learning engineer in Buffalo, NY is $122,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $139,000.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Buffalo, NY?

The most popular types of Machine Learning Engineer jobs in Buffalo, NY are:

What are popular job titles related to Senior Machine Learning Engineer jobs in Buffalo, NY?

For Senior Machine Learning Engineer jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Engineer jobs in Buffalo, NY look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Senior Machine Learning Engineer jobs?

Cities near Buffalo, NY with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Buffalo, NY as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,591 per year, or $58.9 per hour.

Quantitative Strategist - Balance Sheet Strategy & Financial Resource Analysis, AVP

Mizuho Financial Group Inc.

Niagara Falls, NY • On-site

$91 - $145/hr

Other

Medical, Dental, Retirement

Re-posted 23 hours ago

Key responsibilities

  • Develop and enhance quantitative analytics for RWA, regulatory capital, leverage exposure, and financial resource optimization.

  • Build and maintain Python-based models and data pipelines for capital forecasting, scenario analysis, and stress testing.

  • Support regulatory capital calculations automation, prepare methodology documentation, and present analytical findings to stakeholders.

Job description

Position

Quantitative Strategist – Balance Sheet Strategy & Financial Resource Analysis, AVP

Location: New York, NY (On site)

Employment Type: Full-Time

Responsibilities
  • Develop and enhance quantitative analytics for RWA, regulatory capital, leverage exposure, and financial resource optimization across Counterparty Credit Risk (CCR), SA-CCR, Securities Financing Transactions (SFT), Credit Valuation Adjustment (CVA), and Market Risk.
  • Perform RWA attribution, forecasting, and capital consumption analyses to identify optimization opportunities.
  • Support BaselIII Endgame implementation, including rule interpretation, impact assessments, and parallel runs.
  • Build and maintain Python‑based models and data pipelines for capital forecasting, scenario analysis, and stress testing.
  • Apply AI / Machine Learning techniques to enhance forecasting, pattern detection, data quality, and analytical accuracy.
  • Leverage generative AI and Large Language Models (LLMs) to accelerate documentation, code development, rule interpretation, and process automation.
  • Automate regulatory capital calculations and develop scalable analytics and reporting capabilities.
  • Prepare methodology documentation and analytical specifications in line with model governance standards (SR26‑2).
  • Support interactions with Model Validation, Internal Audit, Regulatory Reporting, and regulators.
  • Present analytical findings and capital impacts to business and senior management stakeholders.
Qualifications & SkillsEducation
  • Bachelor’s or master’s degree in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Economics, Engineering, Computer Science, Data Science, or a related quantitative field.
  • Professional certifications such as CFA, FRM, PRM, or CQF are a plus.
Experience
  • 5–8 years of experience in regulatory capital, financial resource management, balance sheet management, or quantitative risk analytics at a large financial institution.
  • Hands‑on experience with SA‑CCR, CCR, SFT, BA‑CVA, Market Risk Capital, or BaselIII Endgame.
  • Practical experience applying AI / machine learning or generative AI tools in a financial or analytical context is highly desirable.
Technical Skills
  • Regulatory: Strong knowledge of BaselIII / U.S. BaselIII Endgame, SA‑CCR, CCR, SFT, BA‑CVA, Market Risk Capital, and RWA methodologies.
  • Quantitative: Model development, statistical analysis, forecasting, and exposure measurement; solid understanding of derivatives and securities financing.
  • AI & Machine Learning: Familiarity with ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch), generative AI / LLMs, and their application to analytics, automation, and productivity. Awareness of AI governance and model risk considerations.
  • Technology: Advanced Python and SQL; Pandas / NumPy and Power BI. Databricks, PySpark, Snowflake, Azure, and Git preferred.
Soft Skills
  • Strong analytical and problem‑solving abilities.
  • Clear communication of technical concepts to non‑technical audiences.
  • Intellectual curiosity and eagerness to adopt emerging AI‑driven tools and techniques.
  • Detail‑oriented, self‑motivated, and able to manage multiple priorities in a fast‑paced, regulated environment.
Work Arrangement

Mizuho has a hybrid working program. Remote work opportunities depend on the role, departmental needs, and local regulations. Some positions may require more in‑office presence, which will be communicated during hiring.

Benefits & Compensation
  • Competitive base salary ranging from $91,000–$145,000, adjusted for skills, experience, education, and certifications.
  • Performance‑based discretionary bonus.
  • Comprehensive benefits package including Medical, Dental, and 401(k). Additional benefits details available upon request.

We are an EEO/AA Employer – M/F/Disability/Veteran. We participate in the E‑Verify program.

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