Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,319 postings in the last year. Stated ranges, not salaries paid.
Houston, Texas, US
Actively hiring, first seen by us 3 days agoLead technical design and delivery of AI, data and automation solutions
Translate business opportunities into scalable, enterprise-grade AI architectures
Mentor AI engineers, data scientists and developers
Ensure solutions are secure, reliable, scalable and production-ready
Evaluate, monitor and optimize AI solution performance
Lead the technical design and delivery of AI, data, and automation solutions.
Translate business opportunities into scalable, enterprise-grade AI architectures.
Provide hands-on leadership and mentorship to AI engineers, data scientists, and developers.
Ensure solutions are secure, reliable, scalable, and production-ready.
Drive AI solution evaluation, monitoring, performance optimization, and continuous improvement.
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,319 postings in the last year. Stated ranges, not salaries paid.
Day 3
Early. Similar jobs usually come down between day 7 and day 72.
From 4,629 similar postings that came down. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume to compare the role’s scope, tools and requirements with your experience.
Complete your application on careers.bureauveritas.com. The employer’s form will show what is required.
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
A WORLD LEADER IN TESTING, INSPECTION & CERTIFICATION SERVICES
Bureau Veritas offers dynamic, exciting employment opportunities with an attractive salary/benefit package and an opportunity to play a vital role with a global organization. If you would enjoy working in a dynamic environment and are looking for an opportunity to become part of a stellar team of professionals, we invite you to apply online today.
Bureau Veritas is an Equal Opportunity Employer, and as such we recruit, hire, train, and promote persons in all job classifications without regard to race, color, religion, sex, national origin, disability, age, marital status, citizen status, sexual orientation, gender identity, genetics, status as a protected veteran, or any other non-job-related characteristics.
This position is responsible to ensure equal opportunity in employment in that all persons are treated equally and on the basis of merit, in decisions regarding selection, placement, promotions, training, work assignments, transfers and other personnel actions.
City: Houston
State: Texas
Bureau Veritas is seeking an experienced Regional AI & Data Hub Technical Lead to provide technical leadership for one of our regional AI delivery hubs. This role is responsible for designing and delivering scalable AI solutions that drive business transformation while ensuring alignment with enterprise architecture, security, and engineering standards.
Working closely with business leaders and the Regional AI & Data Hub Manager, you will lead the development and deployment of AI-powered solutions, including Generative AI, agentic workflows, machine learning, automation, and data-driven applications.
If you are passionate about building enterprise-scale AI solutions, leading technical teams, and shaping the future of AI at Bureau Veritas, we encourage you to apply.
If you are an individual with a disability and you would like us to assist you with searching the Careers Page site for employment opportunities and/or assistance with completing your profile and application, please contact us at 1-888-357-7020 or email us with your request to NorthAmericaTA@bureauveritas.com.
We are happy to assist you and encourage you to consider Bureau Veritas for your next great career opportunity!
If you would like additional information regarding Bureau Veritas' federal obligations in regards to equal employment opportunity, please click the link below:
https://www.dol.gov/agencies/ofccp/posters
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Houston, Texas, US
Working pattern and location restrictions need checking in the full posting.
Bureau Veritas offers dynamic, exciting employment opportunities with an attractive salary/benefit package and an opportunity to play a vital role with a global organization. If you would enjoy working in a dynamic environment and are looking for an opportunity to become part of a stellar team of professionals, we invite you to apply online today. Bureau Veritas is an Equal Opportunity Employer, and as such we recruit, hire, train, and promote persons in all job classifications without regard to race, color, religion, sex, national origin, disability, age, marital status, citizen status, sexual orientation, gender identity, genetics, status as a protected veteran, or any other non-job-related characteristics. This position is responsible to ensure equal opportunity in employment in that all persons are treated equally and on the basis of merit, in decisions regarding selection, placement, promotions, training, work assignments, transfers and other personnel actions.