EMEA Health and Safety Programme Lead

CBRE Enterprise EMEA
London, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

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

Operations Analyst, User Operations (Trust & Safety) - EMEA

OpenAI London, United Kingdom
Hybrid

Healthcare AI Startups Lead - Digital Health

NVIDIA United Kingdom
Remote

Healthcare AI Startups Lead - Digital Health

Remote

Healthcare AI Startups Lead - Digital Health

Remote

Healthcare AI Startups Lead - Digital Health

Remote

EMEA Payroll Specialist - Finance (Fixed Term)

NVIDIA Reading, United Kingdom
Hybrid
Seniority
Lead
Posted
15 Apr 2026 (Last month)

CBRE Global Workplace Solutions is a leading global provider of integrated facilities and corporate real estate management. We are recruiting for a EMEA Health and Safety Programme Lead to join our team in London on a permanent basis. This is a great opportunity for an experienced and enthusiastic candidate to join a global account team.

As a CBRE EMEA Health and Safety Programme Lead you will be responsible for helping to execute strategic projects and develop new programs to ensure CBRE's global HSE strategic objectives are met. To further this effort, we need an individual to act as the interface between HSE platform function and the EMEA regional HSE and technical community to drive synergies for program elements which align with global requirements and regional. This senior level position will work with the AMS and APAC regions to ensure HSE requirements are incorporated into the global, foundational, best practice tools and processes for maintenance set-up, optimization, planning and work execution that the Programs team and proxies are developing.

Key Responsibilities:

Key contact for EMEA business as an extension to account HSE teams.

Align platform HSE with global programs, initiatives, standards and training across GWS Enterprise Accounts, ensuring for consistency but allowing for flexibility for local regulatory, cultural or infrastructure differences.

Facilitate stakeholder collaboration, including account FM Operation professionals globally.

Work closely with the regional director and technical teams ensuring that HSE is embedded daily culture of the business.

Facilitate sharing of information within HSE and across lines of business to create opportunities and synergies and to develop and promote best management practices and programs across the divisions.

Collaborate with all service lines in identifying, developing, and implementing cross functional solutions.

Provide input into GWS EA strategic plan.

Develop and implement initiatives designed to not only to mitigate risk and promote employee safety, but to drive culture change across the organization.

Assist in developing and delivering training related to high-risk activities.

Other duties as assigned.Experience Required:

Bachelor's degree (BA/BS) from 4-year college or university in technical area of health, safety and environment or equivalent work experience.

Work experience in HSE and technical FM a must.

Professional background with program management

Strong leadership, staff management, and facilitation skill.

Strong management, interpersonal, and influencing skills at all levels from the site to the boardroom.

Exceptional presentation skills.

Excellent project management experience.

Strong analytical and organizational skills.

Excellent computer skills including Microsoft Project, Microsoft office suite

International work experience a plus.

Clear understanding and articulation of Safety Management Systems - leadership commitment, accountability, effective communication, auditing, and performance metrics.

Extensive working knowledge of EMEA occupational health and safety legislation

Proven coaching and teaching abilities.

Demonstrated ability to deal with conflict, able to effectively communicate ideas and be an active listener.

Strong trend and data analytical skills to drive program and process changes.

Proven problem-solving skills with the ability to visualize and deliver creative solutions.About CBRE Global Workplace Solutions:

As one of CBRE's core global businesses, Global Workplace Solutions (GWS) provides end-to-end services to occupier clients across the entire lifecycle of a building. Our teams help companies improve their operations and reduce costs, through expert facilities management, project management, real estate and energy and sustainability services. Our dedicated teams work across all industries, and support clients ranging from global Fortune 500 companies to single, iconic buildings.

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

Application Process:

Your application will be reviewed by our Talent Resourcing Team and you will be contacted if you have been successful in being short listed for the role.

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

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.