Maintenance Planner

CBRE Enterprise EMEA
Stevenage, Hertfordshire, United Kingdom
2 weeks ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom

Maintenance Engineer

Ocado United Kingdom
On-site

Maintenance Engineer

Ocado United Kingdom
On-site

Maintenance Engineer

Ocado United Kingdom

Maintenance Engineer

Ocado United Kingdom

Maintenance Engineer

Ocado United Kingdom
On-site

Maintenance Technician - McKesson

Ocado United Kingdom
On-site
Posted
27 Apr 2026 (2 weeks ago)

About the Role:

As a CBRE Maintenance Planner, you will provide building maintenance and office administration support dedicated to a life sciences client account in Stevenage.

This job is part of the Engineering and Technical Services job function. They are responsible for providing support, preventive maintenance, and repairs on equipment and systems.

What You'll Do:

Organize work orders and assign them to individual technicians or work teams.

Coordinate the engagement and direction of appropriate subcontractors.

Work closely with Technicians to stage materials, permits, subcontractors, tools, and other resources.

Develop, maintain, and distribute workflow processes to the entire account team.

Review predictive maintenance data for trends. Provide regular reporting to the management team and client.

Perform annual reviews of preventive and predictive maintenance programs.

Have some knowledge of standard principles with limited practical experience in applying them.

Lead by example and model behaviors that are consistent with CBRE RISE values.

Impact the quality of own work.

Work within standardized procedures and practices to achieve objectives and meet deadlines.

Exchange straightforward information, ask questions, and check for understanding.

What You'll Need:

Ability to use existing procedures to solve standard problems.

Experience with analyzing information and standard practices to make judgments.

In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc.

Organizational skills with a strong inquisitive mindset.

Intermediate math skills. Ability to calculate difficult figures such as percentages, fractions, and other financial related calculations.

Why CBRE

When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values - respect, integrity, service and excellence - and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to chart your own course and realize your potential. We welcome all applicants.

Applicant AI Use Disclosure

We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.