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Vice President Java Machine Learning Jobs (NOW HIRING)

Impact Advisors

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$215K - $330K/yr

The new VP must have a history of delivering high-quality work and building ongoing, trust-based ... Moreover, they should possess good knowledge of Data Science, Machine Learning, and Advanced ...

Troveo AI Inc

VP of Engineering

San Francisco, CA · On-site

$212.10K - $273.30K/yr

While this is not a day-to-day coding role, the VP of Engineering is expected to remain technically ... AI, Data, and Machine Learning Enablement * Ensure Troveo's platform is built to serve ML ...

Masimo

VP, Algorithm - AI

Irvine, CA · On-site

$254K - $320K/yr

The VP, Algorithm - AI is responsible for leading the strategy, development, and execution of ... Drive innovation in machine learning, signal processing, and modeling to advance Masimo ...

Masimo

VP, Algorithm - AI

Irvine, CA · On-site

$254K - $320K/yr

The VP, Algorithm - AI is responsible for leading the strategy, development, and execution of ... Drive innovation in machine learning, signal processing, and modeling to advance Masimo ...

Chase

Applied AI ML Engineer-Vice President

Manhattan, NY

$198.40K - $255.80K/yr

Applied AI ML Engineer-Vice President The Corporate & Investment Bank is a global leader across ... Develop and implement machine learning models and algorithms to solve complex operational ...

Chase

Applied AI ML Engineer-Vice President

Palo Alto, CA

$212.10K - $273.40K/yr

Applied AI ML Engineer-Vice President The Corporate & Investment Bank is a global leader across ... Develop and implement machine learning models and algorithms to solve complex operational ...

Chase

Data Scientist Lead - Vice President

Plano, TX

This role blends hands-on applied machine learning with strong engineering practices to deliver production-grade AI systems. As a Data Scientist Lead - Vice President in the Chief Technology Office ...

Hertz

VP Applied Data & Analytics

Atlanta, GA

$310K/yr

We are seeking a strategic and hands-on Vice President, Applied Data & Analytics to lead the design ... Advanced Analytics & Machine Learning * Oversee development and deployment of predictive and ...

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How much do vice president java machine learning jobs pay per year?

As of Jun 4, 2026, the average yearly pay for vice president java machine learning in the United States is $185,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $172,500.00 and $199,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Java Machine Learning jobs? The most popular types of Java Machine Learning jobs are:
Vice President Java Machine Learning jobs near you
Applied Artificial Intelligence/ Machine Learning Lead - Vice President

Applied Artificial Intelligence/ Machine Learning Lead - Vice President

Chase

Wilmington, DE

Other

Posted 26 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 468 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Applied AI/ML Vice President

As an Applied AI/ML Vice President within Global Private Bank, you'll own the full lifecycle of high-impact models serving clients across wealth management, lending, and advisory, from problem framing with business stakeholders to production deployment at scale. You'll work on some of the most data-rich, complex client problems in financial services, with the infrastructure and resources of one of the world's largest institutions behind you. We're building AI-native capabilities at the intersection of cutting-edge research and real-world impact.

Job Responsibilities:

  • Define and scope AI/ML problem statements in partnership with Private Bank business leads, translating ambiguous client or operational pain points into tractable modeling problems
  • Design, build, and deploy end-to-end ML solutions — including generative AI, NLP, and classical machine learning— across client service, risk, and operational efficiency use cases
  • Own model quality, evaluation frameworks, monitoring, drift detection, and iteration post-deployment
  • Drive productionization and MLOps practices in collaboration with engineering, working across distributed data infrastructure
  • Stay current on applied research; evaluate and adapt emerging techniques — new architectures, agentic frameworks, multimodal models — for relevance to the Private Bank's problem space and translate promising work into production-ready solutions
  • Mentor junior data scientists and help set technical standards for the team
  • Collaborate across JPMorganChase's broader AI/ML community, model risk, compliance, and peer LOBs to align on standards, share learnings, and amplify the team's impact firm-wide

Required qualifications, capabilities, and skills:

  • Master's or PhD in Computer Science, Statistics, Applied Math, Data Science, or related quantitative field
  • At least 5 years of hands-on ML experience in production environments.
  • Deep expertise in NLP, including modern LLM fine-tuning, RAG pipelines, prompt engineering and the design and deployment of multi-step AI agents
  • Strong Python skills; proficiency with PyTorch, TensorFlow, Scikit-learn and other libraries
  • Experience with large-scale data processing: Spark, Hive, SQL
  • Proven ability to communicate technical work to non-technical stakeholders

Preferred qualifications, capabilities, and skills:

  • Financial services experience

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