Top 215 Ai/ml engineer Jobs in Houston, Tx

Staff Observability Platform Engineer
Nscale —Houston, TX
- $160,000 - $230,000 a year
- 6 years
- System design
- Mentoring
Quick Apply
Expert Consultant, Coro, AI Engineer
Bain & Co. —Houston, TX
- $128,500 - $171,500 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Wellness program
- Paid holidays
Quick Apply
Lead, AI Engineering
Bain & Co. —Houston, TX
- $203,500 a year
- Full-time
- System design
- Office
- Continuous improvement
- Wellness program
- Paid holidays
Quick Apply
Principal Observability Platform Engineer
Nscale —Houston, TX
- $190,000 - $300,000 a year
- Mentoring
- Senior level
- Python
Quick Apply
Expert Senior Manager, AI Engineering
Bain & Co. —Houston, TX
- $258,000 - $293,500 a year
- Full-time
- System design
- Office
- Continuous improvement
- Wellness program
- Paid holidays
Quick Apply
AI/ML Engineer
Bain & Co. —Houston, TX
- $79,250 - $90,750 a year
- Full-time
- Azure
- Computer Science
- Office
- Wellness program
- Paid holidays
Quick Apply
1d
AI and Machine Learning Engineer
Hewlett Packard Enterprise —Spring, TX
- $120,500 - $276,500 a year
- Full-time
- Computer science
- Computer Science
- 5 years
8d
AI/ML Engineer (Eng - Senior) Cementing
Halliburton —Houston, TX
- Full-time
- Computer Science
- Office
- SQL
AI/ML Data Engineer - Landmark
Halliburton —Houston, TX
- Full-time
- 7 years
- Computer Science
- System design
Senior AI/ML Engineer
Bain & Co. —Houston, TX
- $140,875 - $169,250 a year
- Full-time
- 6 years
- Computer Science
- System design
- Wellness program
- Paid holidays
Quick Apply
1d
AI engineer
Robotics Technologies —Houston, TX
- Computer science
- Azure
- Computer Science
Agentic AI Engineer — Healthcare AI
Deloitte —Houston, TX
- $110,700 - $372,900 a year
- Full-time
- Computer Science
- Up to 50% travel
- System design
Senior Machine Learning Engineer - Agentic AI
MD Anderson —Houston, TX
- $146,500 - $219,500 a year
- Full-time
- Remote
- Computer Science
- System design
- Doctor of Philosophy
- Health insurance
- Dental insurance
Lead AI / ML Engineer
Accenture —Houston, TX
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
- Paid holidays
- Disability insurance
5d
AI Engineer II
Kirkland and Ellis —Houston, TX
- $116,000 - $144,000 a year
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Residential
- Health insurance
- Paid time off
Data Scientist II
Scribd, Inc. —Houston, TX
- $118,000 - $150,000 a year
- Full-time
- Computer Science
- Mid-level
- Residential
- Paid parental leave
- Disability insurance
AI Development Software Engineer
HMH —Houston, TX
- Full-time
- Mid-level
- Office
- Bachelor's degree
10d
AI Engineer
ClearpointCo. —Houston, TX
- $120,000 - $125,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- Office
Quick Apply
Engineer -AI/ML -Time Series & Robotics
MICROVAST INC —Houston, TX
- Full-time
- Computer Science
- Master's degree
- C++
Quick Apply
FinOps AI / ML Engineer Manager
Accenture —Houston, TX
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- AWS
- Paid holidays
- Disability insurance
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Staff Observability Platform Engineer

Nscale
Houston, TX

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Job Details

$160,000 - $230,000 a year

Qualifications

Performance monitoring
Software engineering
Data storage
6 years
Go
Incident management
Kubernetes
Ansible
Team leadership
Infrastructure as Code (IaC)
High-performance computing clusters
Improving system uptime or availability
IT system monitoring
System performance optimization
Software implementation
System design
Scalable systems
Improving operational efficiency
Maintaining data pipelines
System design for system development
Technical solutions implementation
Production systems
Operational risk mitigation
SRE
Incident management operations support
Implementation (software development lifecycle)
Terraform
Log analysis tools
Mentoring
Incident Investigation

Full Job Description

About Nscale

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale simplifies AI development while enabling superior results, supporting strategic business outcomes such as cost management, rapid innovation, and environmental responsibility.

We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency while contributing to the technology that powers the future.

About the Role

As a Staff Observability Platform Engineer, you'll play a critical role in building and evolving Nscale's observability platform, enabling deep visibility into GPU clusters, AI workloads, and the infrastructure that powers them.

You view observability as a product, not simply a collection of tools. You'll help define and implement scalable, reliable observability solutions that empower engineering teams to understand system behavior, diagnose issues quickly, and operate complex distributed systems with confidence.

You'll combine technical leadership with hands-on engineering, partnering across SRE, infrastructure, platform, and AI/ML teams to improve reliability, operational efficiency, and developer experience. You'll influence architectural decisions, establish engineering best practices, and help drive the evolution of observability capabilities across the organization.

This is a role for someone who enjoys solving difficult infrastructure problems, building platforms that scale, and helping engineering teams succeed through better visibility and operational insight.

What You'll Do

Design, build, and evolve observability platforms across metrics, logs, traces, alerting, and telemetry pipelines.
Lead the implementation of scalable observability solutions that support Nscale's growing GPU and AI infrastructure.
Partner with SRE, infrastructure, platform, and AI/ML teams to ensure observability is embedded throughout the software and infrastructure lifecycle.
Drive improvements in monitoring coverage, alert quality, service health visibility, and incident response effectiveness.
Develop standards, frameworks, and reusable patterns that simplify observability adoption across engineering teams.
Identify reliability risks and operational blind spots, helping teams proactively address them before they impact customers.
Contribute to architectural decisions around telemetry collection, storage, retention, cardinality management, and performance optimization.
Lead technical initiatives and projects that improve platform scalability, reliability, and operational efficiency.
Mentor engineers and provide technical guidance through design reviews, code reviews, and knowledge sharing.
Participate in incident investigations and postmortems, translating operational learnings into durable platform improvements.
Evaluate new observability technologies and practices, balancing innovation with operational simplicity and long-term maintainability.

About You

6+ years of experience in SRE, platform engineering, infrastructure engineering, observability engineering, or related disciplines.
Strong experience building and operating observability platforms in cloud-native, distributed environments.
Deep hands-on experience with several of the following technologies: Prometheus, Thanos, VictoriaMetrics, Grafana, Loki, Tempo, OpenTelemetry, ClickHouse, Elastic, or similar platforms.
Strong software engineering skills with proficiency in Go, Python, or equivalent languages.
Experience operating and troubleshooting Kubernetes-based platforms at scale.
Strong understanding of monitoring, logging, tracing, telemetry pipelines, and modern observability practices.
Experience designing systems with scalability, reliability, performance, and operational simplicity in mind.
Proficiency with Infrastructure-as-Code tools such as Terraform, Ansible, or equivalent.
Ability to lead technical initiatives and influence engineering decisions across multiple teams.
Excellent communication skills with the ability to explain technical tradeoffs and align stakeholders around pragmatic solutions.

Preferred

Experience operating observability systems in GPU, AI/ML, HPC, or large-scale compute environments.
Familiarity with Slurm, Kubernetes GPU scheduling, or AI infrastructure platforms.
Experience with high-volume telemetry pipelines and streaming technologies such as Kafka, Vector, or Fluent Bit.
Knowledge of observability challenges related to model training, inference workloads, GPU utilization, and distributed AI systems.
Experience mentoring engineers and helping grow technical capability across teams.

Equal Opportunities Statement

We strongly encourage applications from people of color, the LGBTQ+ community, people with disabilities, neurodivergent individuals, parents, carers, and people from lower socio-economic backgrounds.

If there's anything we can do to accommodate your specific situation, please let us know.

Note: Responsibilities outlined are not exhaustive and may evolve as business needs change.

For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.

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Refine Your Search

ai/ml engineer jobs in houston, tx

Staff Observability Platform Engineer

Expert Consultant, Coro, AI Engineer

Lead, AI Engineering

Principal Observability Platform Engineer

Expert Senior Manager, AI Engineering

AI/ML Engineer

AI and Machine Learning Engineer

AI/ML Engineer (Eng - Senior) Cementing

AI/ML Data Engineer - Landmark

Senior AI/ML Engineer

AI engineer

Agentic AI Engineer — Healthcare AI

Senior Machine Learning Engineer - Agentic AI

Lead AI / ML Engineer

AI Engineer II

Data Scientist II

AI Development Software Engineer

AI Engineer

Engineer -AI/ML -Time Series & Robotics

FinOps AI / ML Engineer Manager

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