Richmond, VA

Data Jobs in Richmond, VA

11 jobs found

Include remote jobs

10d ago

Lead Machine Learning Engineer (Manager IC)

Capital One Richmond, VA

Richmond, VA

10d ago

Full time Manager Agentic Ai Ai Ml

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Job Description

Benefits

Capital One offers a competitive rewards package and a focus on total well-being, including incentives and benefits that support your career and life goals.

Performance-based incentive compensation (cash bonuses and long-term incentives).
Health, financial, and other benefits that support total well-being.

Location: Richmond, VA, onsite.

Responsibilities

Collaborate with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI powered products that change how our associates work and provide value to our customers.
Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
Fine-tune, develop and evaluate machine learning and foundation models.
Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities.
Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One.
Leverage a broad stack of Open Source and SaaS AI technologies.
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues.
Retrain, maintain, and monitor models in production.
Construct optimized data pipelines to feed ML models.
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.

Requirements

Bachelor’s Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Technologies

Python, Scala, Java
scikit-learn
PyTorch
Dask
Spark
TensorFlow
AWS Bedrock
Google Cloud
Azure
Retrieval Augmented Generation (RAG)

The ideal candidate

You love to build systems, take pride in the quality of your work, and are motivated to make banking better.
You are a skilled communicator, comfortable explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences.
You stay current with AI research and can interpret scientific publications to judiciously apply novel techniques in production.
You adapt quickly, bring clarity to big, undefined problems, ask questions, dig deep, and articulate findings concisely with the courage to share new ideas, even if unproven.
You are deeply technical, with a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to spot optimization opportunities others miss.
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
You maintain a passion for AI research and AI systems, and apply novel techniques in production with care.

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10d ago

Lead Machine Learning Engineer

Capital One Richmond, VA

Richmond, VA

10d ago

Full time Agentic Ai Ai Ml Artificial Intelligence

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Job Description

Benefits

Health benefits
Financial benefits
Other benefits
Performance-based incentive compensation (cash bonuses and/or long-term incentives)

This onsite opportunity in Richmond, VA supports collaborative, impact-driven work in Capital One's Risk Tech group, with a focus on responsible and explainable AI and opportunities to deliver AI powered products that matter for associates and customers.

Responsibilities

Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI powered products that transform how associates work and deliver value to customers.
Design, develop, test, deploy, and support AI software components using machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability, and agentic AI.
Fine-tune, develop, and evaluate machine learning and foundation models.
Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities.
Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One.
Leverage a broad stack of Open Source and SaaS AI technologies.
Inform ML infrastructure decisions using an understanding of ML modeling techniques and issues.
Retrain, maintain, and monitor models in production.
Construct optimized data pipelines to feed ML models.
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.

Requirements

Bachelor’s Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

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10d ago

Lead Machine Learning Engineer (Manager IC)

Capital One Richmond, VA

Richmond, VA

10d ago

$179k - $205k/yr Full time Manager Ai Ml Artificial Intelligence

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Job Description

Capital One Risk Tech is seeking a Lead Machine Learning Engineer (Manager IC) to architect, deploy, and sustain AI and ML capabilities that underpin risk management and AI-powered products. This onsite role in Richmond, Virginia offers a salary range of USD 179,400 to 204,700 per year and requires a bachelor’s degree along with extensive experience building data-intensive solutions and ML systems.

Responsibilities

Collaborate with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-driven products that improve how associates work and create value for customers.
Design, develop, test, deploy, and support AI software components that use machine learning models, including model evaluation, experimentation, large language model inference, similarity search, guardrails, governance, observability, and agentic AI.
Fine-tune, develop, and evaluate machine learning and foundation models.
Work within an Agile, cross-functional team to build and enhance software leveraging state-of-the-art AI and ML capabilities.
Contribute thought leadership and technical vision to the long-term roadmap for pioneering AI systems at Capital One.
Utilize a broad mix of Open Source and SaaS AI technologies.
Make informed ML infrastructure decisions grounded in modeling techniques and related considerations.
Retrain, maintain, and monitor models in production environments.
Build optimized data pipelines to feed machine learning models.
Ensure code quality and governance, manage risk by following responsible and explainable AI practices.

Requirements

Bachelor’s Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (internships do not count)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Technologies

Python, Scala, Java
scikit-learn, PyTorch, Dask, Spark, TensorFlow
AWS Bedrock, Google Cloud, Azure

Benefits

Health, financial and other benefits that support your total well-being
Performance-based incentive compensation (cash bonuses and/or long term incentives)

The Ideal Candidate

Has a passion for building systems, takes pride in code quality, and aims to contribute to meaningful banking innovations.
Is a strong communicator, able to explain complex technical concepts to non-technical partners across the business, including presenting to large audiences when needed.
Keeps up with the latest research, and can interpret scientific publications to judiciously apply novel techniques in production.
Adapts quickly, brings clarity to undefined problems, asks questions, digs deep to uncover root causes, and communicates findings succinctly. Willing to share new ideas even if unproven.
Is deeply technical with a solid foundation in engineering and mathematics, and can leverage hardware, software, and AI know-how to spot optimization opportunities.
Demonstrates resilience and the ability to forge new paths to achieve business goals when routes are unclear.
Maintains a strong enthusiasm for staying current with AI research and systems, applying innovative techniques thoughtfully in production.

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18d ago

Managed Services - Senior Data Engineer - Senior Manager

PRICE WATERHOUSE COOPERS Richmond, VA

Richmond, VA

18d ago

$124k - $280k/yr Full time Manager Senior Analytics

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Job Description

This senior data leadership role at PRICE WATERHOUSE COOPERS (PwC) centers on applying data and analytics to deliver strategic client insights, developing innovative solutions, and guiding teams within the Technology Consulting practice. The position is based onsite in Richmond, VA.

Job Details

Location: Richmond, VA onsite

Salary: USD 124,000 - 280,000 per year

Minimum experience: 6 years

Education: Bachelor's degree

Summary

The role involves leveraging data and analytics to generate strategic insights for clients, developing and implementing innovative solutions, and mentoring teams within PwC's Technology Consulting practice.

Responsibilities

Design and deliver innovative solutions to improve business performance and strengthen competitive advantage, including roadmap development and solution optimization.
Apply advanced analytics to support client operations and strategic aims, leveraging AWS data engineering and Redshift.
Construct and maintain data pipelines and architectures to enable business intelligence initiatives, using DataStage and ETL processes.
Deploy data visualization tools to deliver actionable insights, improving client outcomes, with experience in SQL Server and DB2.
Partner with stakeholders to identify data challenges and opportunities, aligning efforts with managed services and service level agreements.
Coach and motivate teams to tackle complex problems and deliver high-quality results.
Apply systems thinking to uncover root causes and opportunities within client projects, including workload orchestration and scheduling.
Validate outcomes with clients and incorporate their feedback to refine solutions, tracking CSAT and performance tuning.
Lead teams through ambiguous and challenging situations with calm leadership and sound judgment.

Requirements

Bachelor's degree required
Minimum of six years of relevant experience

Technologies

AWS
Redshift
DataStage
SQL Server
DB2
Python
Java
QlikView
Oracle BI

Benefits

Medical coverage
Dental insurance
Vision plan
401(k) retirement plan
Holiday pay
Vacation time
Personal and family sick leave
Annual discretionary bonus

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27d ago

Data Analyst - AI Trainer

DataAnnotation Richmond, VA 🇺🇸 Remote

Richmond, VA

27d ago

$50 - $100/hr Contract Ai Ml Ai Trainer Analyst

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Job Description

DataAnnotation is seeking a remote contract Data Analyst - AI Trainer in Richmond, VA to design and solve coding problems used to train AI systems, write code and explanations, evaluate AI-generated code, and provide feedback to shape future AI models.

Responsibilities

Create and solve a range of coding challenges designed to train AI systems.
Produce clear, high-quality code samples accompanied by thorough explanations.
Assess AI-generated code for correctness, efficiency, and readability.
Deliver actionable feedback that informs the next generation of AI models.

Requirements

English fluency at native or bilingual level.
Proficiency in at least one of: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Excellent writing and grammar skills.
Bachelor’s degree (completed or in progress).

Technologies

JavaScript
TypeScript
Python
C
C#
C++
React
Go
Java
Kotlin
Swift

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work, on your own computer, from home.
Competitive pay: hourly rates up to $100+ USD, with higher bonus opportunities for select projects.
Impact: contribute to shaping the future of AI technologies.

Note

Payment is processed via PayPal; we will never ask for money from you.
PayPal handles currency conversions from USD.
This job is only available to residents of the US, Canada, UK, Ireland, Australia, and New Zealand; applicants outside these regions will not see work or assessments on our site at this time.

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28d ago

Senior Lead Machine Learning Engineer

Capital One Richmond, VA

Richmond, VA

28d ago

$209k - $239k/yr Full time Azure Ml Cloud Operations Data Engineer

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Job Description

A Senior Lead Machine Learning Engineer role at Capital One in Richmond, VA (onsite), focusing on productionizing machine learning applications at scale through architecture, design, and deployment within Agile teams.

Responsibilities

Design and deploy machine learning models and components to address real business needs, collaborating with Product and Data Science teams.
Make informed ML infrastructure decisions based on modeling techniques, including model type, data and feature selection, training, hyperparameter tuning, dimensionality, bias/variance, and validation.
Tackle complex problems by writing and testing production code, building and validating models, and automating tests and deployment.
Collaborate in a cross functional Agile team to build and improve software powering advanced big data and ML workloads.
Retrain, maintain, and monitor models in production to sustain performance.
Leverage or develop cloud based architectures and platforms to deliver scalable ML models.
Build efficient data pipelines to feed ML models.
Apply CI/CD best practices, including test automation and monitoring, to enable reliable deployment of ML models and code.
Maintain secure, well governed code and models, following Responsible and Explainable AI practices.
Proficiency with Python, Scala, or Java for implementation.

Requirements

Bachelor’s Degree.
8+ years designing and building data-intensive solutions using distributed computing (internship experience not counted).
4+ years programming in Python, Scala, or Java.
3+ years building, scaling, and optimizing ML systems.
2+ years leading teams delivering ML solutions.

Technologies

Python
Scala
Java
scikit-learn
PyTorch
Dask
Spark
TensorFlow
AWS
Azure
Google Cloud Platform

Benefits

Health benefits
Financial benefits
Performance-based incentives including cash bonuses and long term incentives

Preferred Qualifications

Master's or doctoral degree in computer science, electrical engineering, mathematics, or a related field.
Experience developing and deploying ML solutions on public clouds such as AWS, Azure, or Google Cloud.
4+ years of hands on experience with industry standard ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow).
3+ years writing performant, resilient, and maintainable code.
3+ years performing data gathering and preparation for ML models.
3+ years of people management experience.
Contributions to the ML field through conference talks, papers, blogs, open source, or patents.
3+ years building production ready data pipelines that feed ML models.
Ability to clearly communicate complex technical concepts to diverse audiences.

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1mo ago

Lead Data Engineer (Finance Tech)

Capital One Richmond, VA

Richmond, VA

1mo ago Closed

$179k - $205k/yr Full time Big Data Bigdata Cloud Architecture

This position is no longer accepting applications (closed Jul 4, 2026).

Job Description

The Lead Data Engineer role in Capital One's Finance Tech group focuses on designing, building, testing, implementing, and supporting data engineering solutions, delivering cloud-based data platforms via Agile teams to empower financial decision-making.

Responsibilities

Partner with cross-functional Agile teams to design, build, test, deploy, and support technical solutions across full‑stack development tools and technologies
Collaborate with developers who specialize in machine learning, distributed microservices, and full‑stack systems
Work with Java, Scala, and Python, plus open source RDBMS and NoSQL databases, and cloud data warehouses such as Redshift and Snowflake
Share enthusiasm for emerging technologies, experiment with new tools, participate in internal and external tech communities, and mentor other engineers
Collaborate with digital product managers to deliver robust cloud based solutions that enable financial empowerment for millions
Perform unit tests and participate in code reviews to ensure designs are solid, code is clean, and performance is tuned

Requirements

Bachelor’s Degree
Minimum 4 years of experience in application development (internships do not count)
Minimum 2 years of experience with big data technologies
At least 1 year of cloud computing experience (AWS, Microsoft Azure, or Google Cloud)