National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Reliability and Sustainability Manager

London
1 week ago
Create job alert

The purpose of the role is:

CBRE Global Workplace Solutions is a leading global provider of integrated facilities and corporate real estate management. From substantial demand within the building services industry for reliability-centered maintenance, a unique opportunity has arisen for a reliability professional to join the divisional reliability team in consulting/supporting various accounts on their reliability-centered maintenance program.

The successful candidate will be a key role within the business intelligence function of the team, focusing on the lifecycle of assets whilst driving for driving condition monitoring & reliability centered maintenance across multiple sites' hard services equipment, thus in turn improving equipment availability, and uptime with minimal impact to the client's production, science research & humanitarian welfare.
The 'field' element of this role will primarily involve performing condition monitoring on additional client sites' hard services on a monthly basis. Producing analytical reports with potential abnormalities and recommendations. These commitments to additional clients will create minor works or project opportunities where you will identify, project management, and support the installation and delivery of sustainable and reliable solutions to enhance maintenance practices.

Flexible working is a potential option and will need formulating and agreeing with your direct line managers, the majority of employees work from home a minimum of twice PCM. A statement from the Divisional Reliability Director: "I utilize the flexible working to focus on my vibration analysis and to create reports/presentations for the clients, I try and schedule these in and around my family commitments."

More specifically, other key responsibilities will include but are not limited to:

Assisting the client's team with system modification and project proposals within the context of system analysis as appropriate.

Working with maintenance teams and applying general engineering knowledge to solve problems and form remediation plans.

Performing condition monitoring and analysis

Leading and coaching various stakeholders in technology solutions for maintenance

Supporting new project commissioning & installations with precision maintenance practices

Supporting budget holders with forecasts and cost reduction programs/initiatives.

Conduct routine engineering calculations

Assess business as usual system performance using appropriate analysis including:

Failure mode and effects analysis (FMEA)

Reliability hazard analysis and Operational hazard analysis

Working knowledge of lean methodologies such as Six Sigma, Kaizen etc.

Fault tree analysis and Root cause analysis

Avoidance of single point of failure (SPOF)

Human error analysis

Preventative/Planned Maintenance Optimization (PMO)

The role holder should have a minimum of an engineering apprenticeship qualification at Level 3 and ideally have obtained reliability and condition monitoring skills, experience, and qualifications. Similarly, the role holder must be familiar with statistical analysis techniques and be able to translate them into suitable written reports that demonstrate a strong level of communication skills

Related Jobs

View all jobs

Research Manager

Sr. Business Intelligence Engineer, GOX - Global Operational Excellence

Data Engineering Manager

Tech Data Engineer

Sr. Business Intelligence Analyst

Sr. Business Intelligence Analyst

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.