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Ml Platform Engineer Jobs in Delaware (NOW HIRING)

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Responsibilities The AI Platform, Principal Engineer is responsible for designing, building, and ... Excellent understanding NLP, and AI/ML design and implementation concepts * Excellent understanding ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Responsibilities The AI Platform, Principal Engineer is responsible for designing, building, and ... Excellent understanding NLP, and AI/ML design and implementation concepts * Excellent understanding ...

The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust ... Excellent understanding NLP, and AI/ML design and implementation concepts * Excellent understanding ...

AI-ML Tech Lead

Wilmington, DE · On-site

$42K - $55K/yr

Required : • 10+ years of software engineering experience with at least 3+ years in a Tech Lead ... platforms. • Deep understanding of DSL design, interpreters, ASTs, and compiler concepts. • ...

... Engineer to design and develop AI and Machine Learning solutions specifically for banking ... AI platforms. Qualifications : Required : • Design and develop AI/ML and Generative AI solutions ...

Responsible for the design and development of custom ML, Gen AI, NLP, LLM Models for batch and ... Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands-on experience ...

Responsible for the design and development of custom ML, Gen AI, NLP, LLM Models for batch and ... Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands-on experience ...

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Showing results 1-20

Ml Platform Engineer information

See Delaware salary details

$33

$64

$95

How much do ml platform engineer jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for ml platform engineer in Delaware is $64.01, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $73.85 per hour, depending on experience, location, and employer.

What is an ML Platform Engineer?

ML Platform Engineers are specialized software engineers who design, build, and maintain the infrastructure and tools needed to support the development, deployment, and scaling of machine learning models. They bridge the gap between data science and production engineering by automating model training, monitoring, versioning, and serving. Their work enables data scientists to focus on modeling while ensuring that ML solutions are reliable, reproducible, and scalable in real-world environments.

What is the difference between Ml Platform Engineer vs Data Scientist?

AspectML Platform EngineerData Scientist
Required credentialsBachelor's/Master's in CS, Engineering, or related; experience with cloud platformsBachelor's/Master's in Statistics, Math, or CS; strong programming skills
Work environmentBuilds and maintains ML infrastructure, collaborates with engineering teamsAnalyzes data, develops models, and interprets results
Industry usageTech companies, AI startups, enterprises deploying ML systemsResearch institutions, tech firms, data-driven organizations

ML Platform Engineers focus on developing and maintaining the infrastructure that supports machine learning models, while Data Scientists primarily analyze data and build models. Both roles often collaborate but serve different functions within the AI and data ecosystem.

How does an ML Platform Engineer typically collaborate with data scientists and software engineers within a company?

ML Platform Engineers work closely with both data scientists and software engineers to streamline the process of developing, deploying, and maintaining machine learning models. They provide the infrastructure and tools necessary for data scientists to build and experiment with models efficiently, while ensuring seamless integration with production systems managed by software engineers. Regular communication, participation in cross-functional meetings, and shared project management tools are common ways teams collaborate. This close collaboration helps to bridge the gap between research and production, ensuring robust, scalable, and reliable ML solutions.

What skills and qualifications are needed to thrive as an ML Platform Engineer?

To thrive as an ML Platform Engineer, you need a strong background in computer science, software engineering, and machine learning concepts, often supported by a degree in a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), containerization (Docker, Kubernetes), CI/CD pipelines, and knowledge of ML frameworks (TensorFlow, PyTorch) are commonly required. Collaboration, problem-solving, and strong communication skills help you work efficiently with data scientists, engineers, and stakeholders. These skills ensure the development, scalability, and reliability of robust ML infrastructure that empowers teams to deploy and manage models effectively.
What are popular job titles related to Ml Platform Engineer jobs in Delaware? For Ml Platform Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Ml Platform Engineer jobs in Delaware look for? The top searched job categories for Ml Platform Engineer jobs in Delaware are:
What cities in Delaware are hiring for Ml Platform Engineer jobs? Cities in Delaware with the most Ml Platform Engineer job openings:

Vice President Product Manager - AI/ML Solutions

JPMorgan Chase & Co.

Wilmington, DE • On-site

$122K - $201K/yr

Full-time

Medical, Retirement

Re-posted 23 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

72nd of 170 rated banks


Job description


You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.
As a Product Manager in Data and Analytics, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.
We are seeking a seasoned Product Manager to lead the strategy and delivery of a Databricks-based Model Experimentation Platform that enables scalable, secure, and compliant AI/ML development across Consumer & Community Banking. This role is critical to enabling scalable, secure, and compliant AI/ML workflows leveraging Databricks as the foundational technology. You will drive cross-functional collaboration, platform migrations, and product innovation to empower data scientists and engineers with best-in-class tools for feature engineering, model experimentation, and lifecycle management.
Job responsibilities
  • Develops a product strategy and product vision that delivers value to customers
  • Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
  • Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
  • Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
  • Drives the migration and integration of Databricks-based solutions, identifying dependencies, mitigating risks, and coordinating with cross-functional teams to ensure seamless execution.
  • Collaborates with data science, engineering, architecture, and compliance teams to embed governance controls into product design and operations.
  • Champions observability, monitoring, and operational resilience for AI/ML model experimentation workflows to ensure platform stability and reliability.
  • Engages with internal customers and stakeholders to gather feedback, understand evolving needs, and translate them into actionable product enhancements.
  • Leads vendor evaluation and selection processes related to model experimentation, ensuring alignment with strategic and compliance requirements.
  • Communicates product vision, progress, and challenges transparently to senior leadership and critical partners, driving consensus and resource prioritization.
  • Fosters a culture of innovation, continuous improvement, and collaboration across product, engineering, and architecture teams.

Required qualifications, capabilities, and skills
  • 5+ years of experience or equivalent expertise in product management or a relevant domain area
  • 3+ years leading product strategy and delivery for a large-scale Databricks-based AI/ML platform (e.g., model experimentation, MLflow, feature engineering, governance, and platform operations).
  • Advanced knowledge of the product development life cycle, design, and data analytics
  • Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • Deep expertise in AI/ML platform capabilities, specifically feature stores, model experimentation, and lifecycle management.
  • Strong hands-on knowledge of Databricks and its ecosystem, including experience with platform migrations and integrations.
  • Proven track record of delivering enterprise-grade AI/ML solutions in highly regulated environments.
  • Demonstrated ability to lead cross-functional teams in matrixed organizations, managing dependencies and mitigating risks effectively.
  • Excellent communication skills with the ability to influence senior leadership and diverse stakeholders.
  • Strong strategic thinking and customer-centric mindset, with a focus on scalability, security, and operational excellence.
  • Experience with observability, monitoring, and governance frameworks for AI/ML workloads.

Preferred qualifications, capabilities, and skills
  • Demonstrated prior experience working in a highly matrixed, complex organization
  • Prior experience in financial services or similarly regulated industries.
  • Knowledge of compliance frameworks related to AI/ML and data security.
  • Strong understanding of market trends and emerging technologies in AI/ML infrastructure.

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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