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Senior Machine Learning Finance Jobs (NOW HIRING)

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

Sr. Machine Learning Engineer Salary Range: $130k to $150k Our client is seeking a Sr. Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR. This role will ...

Senior Machine Learning Engineer

Malvern, PA · On-site

$120K - $158K/yr

We are assisting our client in hiring for a Senior Machine Learning Engineer. Our client is an ... Their cloud-based platform helps financial institutions improve collections performance, deliver a ...

Sr Machine Learning Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Position Title: Sr Machine Learning Engineer Location: PA - Pittsburgh, TX - Dallas, OH - Cleveland ... Finance / Banking Roles and Responsibilities: * Continuous support of models deployed to production ...

Senior Machine Learning Scientist

Seattle, WA · Remote

$104K - $142K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Senior Machine Learning Scientist The Senior Machine Learning Scientist is responsible for building and evaluating GenAI- and LLM-powered solutions and AI agents that improve post-booking customer ...

Senior Machine Learning Scientist

San Jose, CA · Remote

$107K - $146K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Senior Machine Learning Scientist The Senior Machine Learning Scientist is responsible for building and evaluating GenAI- and LLM-powered solutions and AI agents that improve post-booking customer ...

Sr. Machine Learning Engineer

Manhattan, NY · On-site +1

$180K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented ...

Sr. Machine Learning Engineer

Manhattan, NY · On-site

$180 - $220/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

TITLE: Sr. Machine Learning Engineer LOCATION: New York City or London (hybrid) / Fully Remote in ... financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You ...

Senior Machine Learning Engineer

Santa Monica, CA · On-site +1

$165K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As Senior Machine Learning Engineer, you will work alongside gameplay engineers, producers, designers, and artists to integrate intelligent, adaptive systems for our toolchain and in the realtime ...

Senior Machine Learning Engineer

$125K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We're looking for a Senior Machine Learning Engineer to help us build a revolutionary new health ... Financial Well-Being : Our commitment to attracting and retaining top talent begins with a ...

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

Sr Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

RIT Solutions, Inc. is seeking a Senior Machine Learning Engineer. The role involves deploying machine learning models at scale and working with cloud services, Kubernetes, and orchestration of ...

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our mission is to help our users solve crimes and prevent financial fraud with the responsible use ... Senior Machine Learning Engineer Position Summary: We are hiring a highly technical individual ...

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Showing results 1-20

Senior Machine Learning Finance information

See salary details

$52K

$127.6K

$176K

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

As of Aug 14, 2026, the average yearly pay for senior machine learning finance in the United States is $127,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $148,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Machine Learning Finance vs Quantitative Analyst?

AspectSenior Machine Learning FinanceQuantitative Analyst
Required CredentialsAdvanced degrees in CS, Data Science, or Finance; experience with ML frameworksDegrees in Finance, Economics, or Mathematics; strong statistical background
Work EnvironmentTech-driven finance teams, focus on ML model developmentTrading floors, investment firms, focus on quantitative modeling
Industry UsageFinancial institutions leveraging AI/ML for trading, risk, and asset managementAsset management, hedge funds, investment banks

While both roles involve quantitative skills, Senior Machine Learning Finance focuses on developing and deploying machine learning models within finance, whereas Quantitative Analysts primarily build statistical models for trading and risk assessment. The former emphasizes AI/ML expertise, while the latter centers on traditional quantitative methods.

What cities are hiring for Senior Machine Learning Finance jobs?

Cities with the most Senior Machine Learning Finance job openings:

What are the most commonly searched types of Machine Learning Finance jobs?

The most popular types of Machine Learning Finance jobs are:

What states have the most Senior Machine Learning Finance jobs?

States with the most job openings for Senior Machine Learning Finance jobs include:

Sr. Machine Learning Engineer

Prosum Inc.

Phoenix, AZ • On-site

$130K - $150K/yr

Other

Posted 7 days ago


Job description

Job Description
Sr. Machine Learning Engineer
Salary Range: $130k to $150k
Our client is seeking a Sr. Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR. This role will be onsite 4 days a week and 1 remote day.
JOB SUMMARY
The role of Senior Machine Learning Engineer will architect and optimize real-time, high-throughput, and ultra-low latency image pipelines for next-generation Mask Inspection Tools. Responsibilities include eliminating hardware bottlenecks through CUDA kernel tuning and GPU parallel computing, ensuring deep learning models and CV algorithms seamlessly processing massive, high-bandwidth streaming data at production scale.
ESSENTIAL DUTIES AND RESPONSIBILITIES
High-Performance Computing Pipeline Architecture
  • Design, implement, and optimize high-throughput, low-latency image processing pipelines for real-time optical inspection and machine vision systems.
  • Develop scalable architectures capable of processing large volumes of imaging data while meeting stringent latency and reliability requirements.
  • Profile and optimize system performance across CPU, GPU, memory, and I/O subsystems.
GPU Acceleration
  • Design, develop, and optimize CUDA kernels to accelerate deep learning inference and classical computer vision algorithms.
  • Maximize GPU utilization through efficient memory management, kernel optimization, and parallel programming techniques.
  • Evaluate and implement performance improvements using NVIDIA GPU technologies and profiling tools.
Model Deployment & Optimization
  • Optimize, quantize, and deploy machine learning models using TensorRT, ONNX Runtime, or similar inference frameworks.
  • Integrate AI models into production-grade C++ and Python applications.
  • Improve inference throughput, latency, and resource utilization while maintaining model accuracy.
  • Develop automated deployment and validation pipelines for machine learning models.
Concurrency & Systems Optimization
  • Architect and implement multi-threaded, high-concurrency software components for data acquisition, buffering, streaming, and real-time processing.
  • Design robust synchronization and communication mechanisms between hardware interfaces and AI processing pipelines.
  • Optimize end-to-end system performance for deterministic, real-time execution.
Cross-Functional Collaboration
  • Partner with machine learning scientists, computer vision engineers, hardware engineers, and software developers to deliver integrated AI solutions.

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