Associate ML (Machine Learning) Project Manager

Associate ML (Machine Learning) Project Manager

Full-Time Home office (partial)
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At a Glance

  • Tasks: Lead exciting ML projects in data centre construction across Finland and Norway.
  • Company: Join Arcadis, a global leader in sustainable design and engineering.
  • Benefits: Empowering work culture, competitive salary, and opportunities for international travel.
  • Other info: Be part of a diverse team committed to equality and innovation.
  • Why this job: Make a real impact on mega-projects while enhancing your skills in a dynamic environment.
  • Qualifications: Experience in data centre projects and strong technical knowledge in M&E systems.

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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Associate ML (Machine Learning) Project Manager employer: Arcadis

Arcadis UK is an exceptional employer that fosters a collaborative and innovative work culture, where sustainability and resilience are at the forefront of our projects. Employees benefit from continuous professional development opportunities, a supportive environment, and the chance to work on impactful projects in the water and energy sectors. Located in the UK, we offer a dynamic workplace that values diversity and encourages creative solutions to complex engineering challenges.

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Contact Details:

Arcadis Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Associate ML (Machine Learning) Project Manager

Join Engineering Meetups!

Get yourself along to local engineering meetups or tech conferences. These are great places to connect with like-minded folks and industry leaders who might just have a lead on that full-time Associate ML (Machine Learning) Project Manager role you’re after at Arcadis.

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Apply Through Company Websites

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We think you need these skills to ace Associate ML (Machine Learning) Project Manager

Machine Learning (ML)
Data Centre Construction
Electrical Systems Knowledge
Mechanical Engineering
Project Lifecycle Management
Cross-Functional Collaboration
Change Order Management

Some tips for your application 🫡

Showcase Your Technical Expertise:When applying for an engineering role like Associate ML (Machine Learning) Project Manager, it’s essential to highlight your technical skills. Include any relevant software or tools you're proficient in on your CV—think CAD software, simulation tools, or programming languages. Don't skimp on any engineering projects you've worked on that demonstrate your ability to solve complex problems.

Focus on Results and Impact:In the engineering world, we love numbers and real-world impact. Quantify your achievements wherever possible—like reducing costs by a certain percentage, improving efficiency, or successfully completing a project ahead of schedule. This gives your future employers at Arcadis a clear picture of the value you can bring.

Craft a Compelling Cover Letter:Use your cover letter to express your passion for engineering and explain why you’re drawn to Arcadis specifically. Share what aspects of their work excite you and how your values align with theirs. This is your chance to show a bit of personality while keeping it professional!

Include Relevant Certifications:If you have any engineering certifications, especially ones that are recognised in your field, make sure to feature them prominently on your CV. They demonstrate not just your knowledge, but also your commitment to professional development, which is something we at StudySmarter value highly.

How to prepare for a job interview at Arcadis

Brush Up on Core Engineering Principles

Before heading into the interview with Arcadis, make sure you're solid on the fundamental engineering principles relevant to the role. Be ready to discuss concepts such as thermodynamics, fluid mechanics, or structural analysis, depending on the specifics mentioned in the job description. Don’t skip any hands-on projects or coursework; these can be excellent talking points!

Show Off Your Problem-Solving Skills

Expect technical questions or case studies during your interview—after all, engineering is all about solving problems! Prepare a few examples of how you've tackled engineering challenges in the past, whether at university or in any practical experience. Practising with mock technical interviews can really help you articulate your thought process and solutions.

Relate Your Experience to the Role

In a full-time role, employers like Arcadis want to see that you can adapt and grow within their team. Be ready to discuss how your previous internships, projects, or studies relate directly to the work you'll be doing. Highlight specific experiences that showcase your collaborative skills and how you've successfully worked within a team environment.

Know Your Tools and Software

Most engineering roles require familiarity with specific tools and software. Prepare to talk about your proficiency with programmes like AutoCAD, MATLAB, or SolidWorks if they’re relevant to the role. Even better, have examples of projects where you’ve used these tools, as it'll demonstrate your hands-on experience and readiness for the job.