Arcadis

Associate ML (Machine Learning) Project Manager

Arcadis Birmingham, England, United Kingdom

Professional Services · 10,001+ employees

8 h ago
machine-learning Senior (5-10 yrs) Full-time United Kingdom
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About the role

The Associate ML Project Manager will oversee the lifecycle of machine learning liquid cooling and electrical infrastructure upgrades for data centre projects. Responsibilities include managing change orders, coordinating logistics, and ensuring cross-functional collaboration to meet project milestones and commissioning requirements.

What they look for

Project management Data centre construction Commissioning Mechanical engineering Electrical systems Logistics planning Change order management Infrastructure installation BIM 360 Google workspace Risk mitigation Supply chain management Cross-functional collaboration Technical documentation Forecasting

Requirements

Candidates must have a strong technical background in M&E systems with proven experience in data centre construction and commissioning. Proficiency in project management tools and the ability to manage complex site-specific configurations and international travel are essential.

Full description

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.

We are more than 34,000 people, in over 30 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together.

Role description:

Play a key role delivering tech sector mega-projects.

We are looking for an experienced Associate ML Project Manager to join our rapidly growing team. You will play a key role in delivering one of our biggest data centre construction projects in Finland and Norway

You can be based either 100% in the country, or there will be significant international travel to Finland or Norway (11/3 day rotations).

Role accountabilities:

The role of the ML project lead is to oversee Machine Learning (ML) liquid cooling and electrical infrastructure upgrades on a Google Data Centre in EMEA. The ideal candidate should have data centre construction and commissioning experience as a minimum requirement. A mechanical bias is preferred as the mechanical scope for these upgrades is typically larger than the electrical scope however a sound understanding of electrical systems and knowledge is required. The ML project manager will be responsible for the ML project lifecycle from contractor appointment through to commissioning complete.

The ML PM shall apply DC construction expertise and drive the cross-functional collaboration required to deliver the ML infrastructure to meet the business requirements.

Roles & Responsibilities

Manage the change order process with the resident SPC, ensuring that documents detailing the full mechanical, electrical and fibre scope are accurately localised and all scope is captured during the initial cost and schedule agreement process, minimising risk to project delivery.

Manage the SPC schedule of ML works including regular communication of critical milestones to cross-functional business teams.

Manage the full scope of SPC ML infrastructure installation, ensuring minimal change order requirements during project execution.

Manage logistics of materials from both integrator and internal OFE suppliers (CDUs etc) to ensure materials are delivered to meet the SPC schedule ROJ NBDs.

Identify and mitigate key risks associated with delivering the ML infrastructure.

Coordinate key interfaces with the main DC fit-out build such as HAC completion dates and power & cooling availability.

Closely coordinate with the fibre infrastructure team (DCNICon) to ensure fibre scope is delivered as required to meet business ML needs.

Ensure that the ML scope is managed and executed by the SPC independently of the main scope including dedicated management and labour from the SPC.

Co-ordination and management of ML M&E commissioning works up to L3 CDU Cx complete and

assistance to DCOps thereafter during L4.

Regular reporting on ML project risks, dates and general updates on a regular basis to DCS PgM team and all required cross-functional client teams.

Complete lessons learned log and shared back with client teams.

Key Requirements

  • Strong technical background within M&E systems and experience managing DC fit-out and Cx projects.
  • Ability to oversee complex site-specific configurations and coordinate with supply chain teams.
  • Proficiency in project management and collaboration tools (e.g., BIM 360, Google workspace).
  • Excellent organisational skills and ability to manage multiple information sources.
  • Strong communication skills.
  • Strong forecasting and logistical planning ability to manage the flow of material to the site in a controlled manner to meet the client business requirements.

Qualifications & Experience:

First and foremost, you share our passion for improving the quality of life. You pride yourself for the part you play in transforming the world around you and understand the importance of teamwork. You are a technically capable and come to us with:

  • An in-depth understanding of large-scale technical projects and construction techniques.
  • Ability to manage technical disciplines.
  • Experience working on Data Centre new build and refurbishment projects, preferably on hyperscale builds, would be advantageous
  • Ability to commit to significant international travel

Why Arcadis?

We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.

You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.

Together, we can create a lasting legacy.

Join Arcadis. Create a Legacy.

Our Commitment to Equality, Diversity, Inclusion & Belonging

We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We believe that by working together diverse people with different experiences develop the most innovative ideas. Equality, diversity and inclusion is at the heart of how we improve quality of life and we work closely with our people across six ED&I Workstreams: Age, Disability, Faith, Gender, LGBT+ and Race. A diverse and skilled workforce is essential to our success.

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