Top 73 Machine learning engineer Jobs in Glen Allen, Va

Intelligent Systems Platform Engineer
Hyper Solutions Inc —Richmond, VA
- $130,000 - $150,000 a year
- Full-time
- Azure
- Computer Science
- 5 years
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12d
Lead Machine Learning Engineer (Manager IC)
Capital One —Richmond, VA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
AI/ML Developer - AI Trainer
DataAnnotation —Richmond, VA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
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Full Stack Developer - AI Trainer
DataAnnotation —Richmond, VA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
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Full Stack Developer - AI Trainer
DataAnnotation —Virginia
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
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AI Engineer
Luck Stone Corporation —Manakin Sabot, VA
- $152,900 a year
- Full-time
- Azure
- Computer Science
- Mid-level
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Data Scientist
CoStar Group —Richmond, VA
- $71,400 - $105,000 a year
- Full-time
- Computer Science
- Research
- Office
- Employee stock purchase plan
- Health insurance
14d
Machine Learning / Data Science Engineer
CapTech Consulting —Richmond, VA
- $90,000 - $200,000 a year
- Full-time
- Azure
- Management
- DevOps
- Loan repayment program
- Disability insurance
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Mechanical Subject Matter Expert
Meta —Henrico County, VA
- $114,000 - $168,000 a year
- System design
- 3 years
- Analysis skills
AI Developer and AI Agents
Cyber Resource —Richmond, VA
- $60 - $80 an hour
- Multiple hires
- Computer Science
- Mid-level
- Agile
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Senior Data Scientist, Customer Conversion
CarMax Enterprise Services, LLC —Richmond, VA
- $106,000 - $159,000 a year
- 8 hour shift
- Office
- SQL
- Analysis skills
- Paid jury duty
- Paid holidays
Product Strategy Analyst, Data & Analytics
McKesson —Richmond, VA
- $92,600 - $154,400 a year
- Full-time
- Mid-level
- Office
- Bachelor's degree
Principal Software Engineer
CVS Health —Richmond, VA
- $144,200 - $288,400 a year
- Full-time
- Computer science
- Computer Science
- System design
- Health insurance
- Dental insurance
Network Engineer, Operations & Support
Meta —Henrico County, VA
- $135,000 - $191,000 a year
- On call
- Computer science
- 6 years
- Computer Science
Software Engineer II, Data Management
CoStar Group —Richmond, VA
- $108,000 - $140,000 a year
- Full-time
- System design
- Mid-level
- Office
- Employee stock purchase plan
- Health insurance
Distinguished Engineer
Capital One —Richmond, VA
- Email
- Computer science
- Azure
- System design
- Health insurance
Principal Data Scientist
Berkley —Glen Allen, VA
- $200,000 - $300,000 a year
- Full-time
- Computer Science
- Master's degree
- SQL
- Profit sharing
- Health insurance
Solutions Architect
CapTech Consulting —Richmond, VA
- $140,000 - $200,000 a year
- Full-time
- Azure
- Computer Science
- Office
- Loan repayment program
- Disability insurance
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Forensic Mechanical Engineer/HVAC experience - Richmond, VA
Rimkus —Richmond, VA
- Overtime
- Hybrid work
- Bachelor of Science
- Mid-level
- Office
- AD&D insurance
- Disability insurance
Quick Apply
Lead Machine Learning / Data Science Engineer
CapTech Consulting —Richmond, VA
- $90,000 - $200,000 a year
- Full-time
- 7 years
- Azure
- Management
- Loan repayment program
- Disability insurance
Quick Apply

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machine learning engineer jobs near glen allen, va

Intelligent Systems Platform Engineer

Hyper Solutions Inc
Richmond, VA

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Job Details

Full-time
$130,000 - $150,000 a year
12 days ago

Qualifications

AI models
Vendor relationship building
Data model design
Cloud IoT services
Data modeling projects
Generative models
Schema design
Technology security practices
Infrastructure architecture design
Production systems
Machine intelligence
Model deployment
Data Security (Data management)
Systems engineering
Cloud Architecture Design (Architecture design skills)
Data security architecture
Generative AI

Full Job Description

Description:

The Intelligent Systems Platform Engineer at Hyper Solutions plays a critical role in building and scaling Hyper Sense, Hyper’s AI-native Industrial IoT platform for mission-critical data center power and cooling infrastructure. This position is responsible for designing and operating the end-to-end platform that enables data ingestion, multi-modal data management, AI model deployment, and customer-facing intelligence products.

This role operates at the intersection of industrial systems, data engineering, and applied AI. You will architect and manage a polyglot data environment that integrates telemetry, engineering data, field service history, and OEM documentation into scalable, production-grade data products. The Intelligent Systems Platform Engineer partners closely with data scientists, product managers, and customer-facing teams to deliver advanced analytics and intelligent aftermarket services.

This position is well-suited for a systems-oriented engineer who thrives in building complex, data-intensive platforms from the ground up and is comfortable operating across cloud infrastructure, industrial systems, and AI-enabled data workflows.

Core Responsibilities

Design, build, and operate Hyper’s AI-native Industrial IoT platform end-to-end
Architect and manage a polyglot data platform leveraging appropriate storage technologies for time-series, relational, unstructured, and vector data
Build and maintain industrial data pipelines integrating IoT telemetry, engineering data, field service records, and OEM documentation
Develop scalable data pipelines supporting both traditional machine learning and generative AI workflows
Define and enforce data quality, governance, observability, and security standards across the platform
Design and maintain industrial data models and asset frameworks supporting monitoring, benchmarking, and trend analysis
Partner with data scientists to enable predictive maintenance, anomaly detection, and fault classification models in production
Collaborate with analytics product managers to deliver data products such as condition-based maintenance, fleet optimization, and energy efficiency insights
Translate customer and operational requirements into platform capabilities and data products

Additional Responsibilities

Capture and structure engineering and field service knowledge into standardized platform inputs
Evaluate and select platform components including IoT gateways, edge devices, cloud services, and data infrastructure tooling
Manage vendor and technology partner relationships to ensure alignment with platform roadmap and delivery expectations
Embed security best practices aligned with IEC 62443 and OT/IT convergence standards into platform design and operation
Maintain platform documentation including architecture diagrams, data lineage, and onboarding materials
Partner with Sales and Product teams to align platform capabilities with go-to-market strategy and customer outcomes

Requirements:

Bachelor’s degree in Computer Science, Electrical Engineering, Systems Engineering, or related field (Master’s preferred)
5+ years of experience designing and operating industrial IoT platforms, data pipelines, or OT/IT data infrastructure
Strong experience with data modeling, schema governance, and high-throughput data pipeline design
Experience designing and implementing polyglot data architectures across multiple data types
Hands-on experience building end-to-end data pipelines for machine learning and generative AI workflows
Familiarity with industrial communication protocols such as Modbus, BACnet, SNMP, OPC-UA, and MQTT
Experience working with cloud platforms such as AWS, Azure, or GCP for data and ML workloads
Experience collaborating with data scientists and supporting production ML model deployment
Strong understanding of data security, governance, and observability practices

Preferred Qualifications

Experience with predictive maintenance, condition monitoring, or industrial analytics systems
Familiarity with SCADA, DCIM, BMS, or CMMS platforms
Experience applying generative AI and RAG techniques to technical or industrial datasets
Experience with containerized environments and CI/CD pipelines for data platforms
Familiarity with data lakehouse or federated data architectures
Experience with data observability and monitoring tools
Knowledge of IEC 62443 or similar industrial cybersecurity frameworks
Relevant certifications such as AWS ML Specialty, Azure IoT Developer, or similar

What Success Looks Like

Hyper’s AI-native IoT platform operates reliably at scale, supporting mission-critical infrastructure data
Data pipelines are robust, high-quality, and enable accurate and trustworthy analytics and AI outputs
Cross-functional teams are able to leverage platform capabilities to deliver impactful data products
Customers gain actionable insights through condition-based maintenance, optimization, and analytics tools
Platform architecture is scalable, secure, and adaptable to evolving product and customer needs

Why Hyper?

At Hyper, you’ll play a foundational role in building the intelligent systems platform that powers next-generation data center infrastructure. You’ll work across engineering, data science, and product teams to create solutions that directly impact reliability, efficiency, and innovation in mission-critical environments.

Hyper offers a collaborative and fast-paced environment where you can take ownership of complex systems, influence platform direction, and help define the future of industrial IoT and AI-driven infrastructure solutions.

Location

On-site in Richmond, VA

Compensation

The anticipated minimum hiring range for this role is $130,000 - $150,000 per year plus bonus. Actual salary varies due to factors that may include, but are not limited to, relevant experience, skills, certifications, and location. This hire will be eligible for a discretionary bonus or incentive compensation. Variable compensation may depend on various factors, such as individual and organizational performance.

Hyper Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other protected status under applicable laws.

All applications will be used exclusively for selection purposes and handled confidentially by authorized personnel only. Your application may also be considered for other suitable positions within Hyper Solutions, Inc.

Please note that Hyper Solutions is currently unable to offer visa sponsorship, and applicants must be authorized to work in the U.S. without the need for sponsorship now or in the future.

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Refine Your Search

machine learning engineer jobs in glen allen, va

Intelligent Systems Platform Engineer

Lead Machine Learning Engineer (Manager IC)

AI/ML Developer - AI Trainer

Full Stack Developer - AI Trainer

Full Stack Developer - AI Trainer

AI Engineer

Data Scientist

Machine Learning / Data Science Engineer

Mechanical Subject Matter Expert

AI Developer and AI Agents

Senior Data Scientist, Customer Conversion

Product Strategy Analyst, Data & Analytics

Principal Software Engineer

Network Engineer, Operations & Support

Software Engineer II, Data Management

Distinguished Engineer

Principal Data Scientist

Solutions Architect

Forensic Mechanical Engineer/HVAC experience - Richmond, VA

Lead Machine Learning / Data Science Engineer

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