Project Manager, Electrical (Machine Learning)

As a Project Manager / Integration Manager (Data Centre Construction) at Linesight, you will work with highly experienced, culturally diverse, and passionate teams nurturing a strong social dynamic and a shared sense of achievement. You will gain vast industry experience that will open doors for you, extend your skillset and expand your perspective. We will empower, support, and enable you to take real responsibility in your role so that you can take charge of your career progression with us. For us lasting trusted relationships are everything, both with our teams and our clients. The Opportunity: In this role you will:

• Oversee planning and delivery of electrical systems (power distribution, UPS, generators, switchgear, grounding, and controls) integrated with ML-based monitoring, analytics, and optimization platforms.
• Collaborate with design and engineering teams to review feasibility and implementation of ML-driven electrical solutions for hyperscale and mission-critical environments.
• Manage scopes, timelines, and interdependencies across electrical, mechanical, and AI/ML workstreams, ensuring seamless integration of building infrastructure and digital intelligence.
• Ensure electrical systems meet regulatory codes and standards (e.g., power safety, redundancy, resilience) and promote exemplary safety practices across delivery teams.
• Liaise with clients, contractors, utilities, and technology partners to align on power infrastructure, integration goals, and delivery milestones.
• Consolidate electrical designs, testing results, commissioning records, and operational documentation to ensure a successful handover of integrated systems.

Do you have experience in Machine learning?, * Have a degree or equivalent experience in electrical engineering, power systems, project management, or a related construction discipline

• Bring experience in data center electrical systems (power distribution, critical power, UPS, generators, BMS/EPMS integration) and large-scale infrastructure projects
• Are familiar with machine learning applications for predictive maintenance, fault detection, energy optimization, or intelligent power management
• Have experience in Project / Construction Coordination and stakeholder governance, preferably within Data Centre, Industrial, Utilities, or Process Engineering environments
• Thrive in a dynamic setting with the autonomy to manage priorities, interfaces, and delivery timelines
• Enjoy building strong relationships with teams and clients through clear communication, shared purpose, and an open, collaborative culture

Linesight is a highly successful global project and cost management consultancy that keeps clients coming back. And for that we have our people to thank. You see we're not like the others. We're different. Unique. It's our fresh thinking and focus on what matters that has led to our evolving. We are on a journey working in some of the most exciting innovative sectors with some of the world's most prestigious companies delivering major projects that deliver a more sustainable built environment. We have an open culture and a flat structure where you can expect to be treated with genuine care, respect, and empathy. With Linesight, you can truly discover the power of team! Diversity, inclusion and accessibility Linesight is committed to transparent, equal opportunity employment practices. We are building a diverse and inclusive organisation, accessible to all, based on having a safe culture which enables all our people to be their true selves. We are a people business, and we understand that the more inclusive we are, the happier our people and better our work will be. We will ensure that individuals with disability are provided reasonable accommodation to participate in the application or recruitment process and are accommodated in the workplace. If you require assistance or accommodation of any kind, please mention this in your application, we would love to hear from you!   You must create an Indeed account before continuing to the company website to apply