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Regional AI & Data Hub Technical Lead

Pay
Pay not listedSimilar roles state $166K–$240K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Lead 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

From the employer’s posting
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.
Apply at Bureau Veritas UK

Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20263 days ago
Recorded sightings
3
Last seen by us
Nov 8, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 7 and day 72.

From 4,645 similar postings that came down. Coming down is not always a hire.

Bureau Veritas UK is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

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Your next step

Complete your application on careers.bureauveritas.com. The employer’s form will show what is required.

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 619, the most 1,091, and the latest week had 863.
August 17Last week

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.

About the role

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.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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

 

Job Summary

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.

Core Accountabilities

  • 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.
  • Collaborate with global AI leadership to promote reusable frameworks, best practices, and enterprise standards.
  • Support the adoption of AI solutions and enable successful deployment within business operations.

Profile

  • Experience leading AI, machine learning, data science, software engineering, or digital transformation initiatives in a large enterprise environment.
  • Strong expertise in Generative AI, machine learning, AI solution architecture, automation, and data platforms.
  • Experience delivering AI solutions from concept and prototype through production deployment.
  • Strong technical leadership, coaching, and stakeholder collaboration skills.
  • Ability to balance innovation with practical business outcomes and operational needs.

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.

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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

 

Source details

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Pay

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Location & working pattern

Houston, Texas, US

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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.

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