Facilities Manager

CBRE Enterprise EMEA
London, United Kingdom
3 weeks ago
Posted
29 Apr 2026 (3 weeks ago)

About the Role: As a CBRE Facilities Manager, you will manage a team responsible for providing overseeing building operations and maintenance for a facility, campus, or portfolio of small to medium sized buildings.

This job is a part of the Facilities Management functional area which focuses on all aspects of the operations of a set of assets, providing support to the Property Managers regarding all repairs and investment plans.

What You'll Do:

Provide formal supervision to employees. Monitor the training and development of staff. Conduct performance evaluations and coaching. Oversee the recruiting and hiring of new employees.

Schedule and manage the team's daily activities. Establish work schedules, assign tasks, and cross-train staff. Set and track staff and department deadlines. Mentor and coach as needed.

Coordinate and manage facility repairs and maintenance by working with technicians, vendors, and contractors.

Maintain positive client relationships and conduct meetings on unresolved facility issues.

Prepare and manage capital projects, operating budgets, and variance reports.

Perform facility inspections quality assurance following local, state, and federal regulations. Suggest operational efficiencies, repairs, and upgrade opportunities.

Manage environmental health and safety procedures for facilities.

Oversee vendor relationships and invoicing procedures. Review price quotes for the procurement of parts, services, and labor for projects.

Conduct process and procedure training on maintenance, repairs, and safety best practices.

Lead by example and model behaviors that are consistent with CBRE RISE values. Influence parties of shared interests to reach an agreement.

Apply knowledge of own discipline and how own discipline integrates with others to achieve team and departmental objectives.

Identify, troubleshoot, and resolve day-to-day and moderately complex issues which may or may not be evident in existing systems and processes.

What You'll Need:

Bachelor's Degree preferred with 3-5 years of relevant experience. In lieu of a degree, a combination of experience and education will be considered. Valid driver's license required. Facility Management certification preferred.

Experience in the areas of staffing, selection, training, development, coaching, mentoring, measuring, appraising, and rewarding performance and retention preferred.

Ability to guide the exchange of sensitive, complicated, and difficult information, convey performance expectations and handle problems.

Leadership skills to motivate team impact on quality, efficiency, and effectiveness of the job discipline and department.

Extensive organizational skills with a strong inquisitive mindset.

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

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.

No agencies please.

Please note: the job title shown above may be different to local job titles used in our business and issued on any contract of employment.

#GWSEMEA

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

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

Facilities Coordinator

CBRE Enterprise EMEA London, United Kingdom

Workplace Manager

Synthesia London, United Kingdom
Hybrid

Workplace Manager

Synthesia New York City, New York, United States
£75,000 – £85,000 pa Hybrid

Senior Forensic Data Analytics Manager

Brimstone-Recruitment Dublin, City Of Dublin, Ireland

Technical Specialist - BOCC

CBRE Enterprise EMEA London, United Kingdom

Deputy Shift Lead

CBRE Enterprise EMEA London, United Kingdom

Industry Insights

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

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

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. 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 Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three 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.