ML Delivery Lead

Bechtel; Houston (TX); Hybrid; USD 140,000 - 190,000; Part time

Job summary

Bechtel in Houston, TX, seeks an ML Delivery Lead to drive end-to-end machine learning and predictive analytics initiatives within the Energy GBU. You will translate business needs into production-ready capabilities and oversee the ML lifecycle from development to deployment.

The role blends ML expertise, digital delivery, and EPC know-how to deliver scalable, governed solutions. It requires coordinating business and technical teams, managing risks, and delivering measurable value with a mix of

Qualifications

• Experience delivering end-to-end ML solutions.
• Strong knowledge of ML model validation, testing, monitoring and governance.
• Ability to coordinate business and technical teams to deliver projects.

Responsibilities

• Lead end-to-end delivery of ML and predictive analytics solutions.
• Oversee the ML lifecycle from development through deployment and governance.
• Coordinate cross-functional teams to ensure on-time delivery and risk management.

Skills

Machine learning

Predictive analytics

Project delivery

EPC expertise

Job description

Requisition ID: 300414

• Relocation Authorized: None

• Telework Type: Part-Time Telework

• Work Location: Houston, TX

Extraordinary teams building inspiring projects:

Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.

Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.

Core to Bechtel is our Vision, Values and Commitments . They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report .

Project Overview:

Bechtel’s Energy GBU is scaling its AI & Data practice to advance machine learning and predictive analytics across engineering, procurement, project controls, and operations. Successful delivery requires translating business and data opportunities into scalable, production-ready solutions that improve decision-making and deliver measurable value.

The ML Delivery Lead supports this transformation by driving the planning, delivery, and operationalization of machine learning solutions across the Energy Business Unit.

Job Summary:

The ML Delivery Lead leads end-to-end delivery of machine learning and predictive analytics solutions across the Energy Business Unit, translating business needs into production-ready capabilities that deliver measurable value.

The role combines ML knowledge, digital delivery experience, and EPC expertise to deliver scalable, governed, and operationally sustainable solutions from planning through deployment.

"This position is designated as part-time telework per our global telework policy and will require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership». #LI-TN1

Major Responsibilities:

Machine Learning Solution Delivery

• Lead end-to-end delivery of ML and predictive solutions.

• Manage delivery plans, milestones, resources, and dependencies.

• Coordinate business and technical teams to resolve delivery risks.

Model Development & Deployment Oversight

• Oversee the ML lifecycle from development through deployment.

• Ensure model validation, testing, monitoring, and governance requirements are met.

• Review model performance and production readiness.

Data & Analytics Enablement

• Ensure data availability, quality, and suitability for ML solutions.