296 jobs found

Help Desk Advisor Location: Runcorn (Office-based) Job Type: Full-time, Permanent Salary: £26,000 per annum Hours: Monday to Friday, 7am 6pm (8-hour shifts on a rota basis). 1 in 5 Saturdays, 8am 12pm. About the Role An exciting opportunity has arisen for a Help Desk Advisor to join our client s head office in Runcorn. This role is ideal for someone passionate about delivering outstanding customer service while supporting both internal teams and external clients. You ll be responsible for managing work orders, handling service requests, and coordinating with engineers to ensure jobs are completed accurately and efficiently. This is a key role in ensuring seamless operations and excellent customer experiences. Key Responsibilities Handle incoming customer calls and emails to log and manage work orders. Diagnose and allocate faults to the appropriate engineer or contract manager. Meet service level agreements (SLAs) by responding promptly to reactive jobs. Maintain accurate technical records to support first-time fixes. Provide regular updates to customers and document all communications. Coordinate with engineers to optimize scheduling and job completion. Close jobs accurately for invoicing and raise new work orders as required. Work collaboratively with cross-functional teams to provide technical support. Log compliments, complaints, and concerns for timely resolution. Adhere to rota shift patterns (7am 6pm, core hours 8:30am 5pm) with occasional Saturdays. Experience Strong customer service and communication skills. Proficient in data entry, phone etiquette, administration, and IT systems. Empathetic, professional, and customer-focused. Excellent time management and punctuality. Desirable Experience: Previous helpdesk/customer service experience. Complaints handling and scheduling. Background in electrical or plumbing businesses. Benefits 20 days holiday (with holiday purchase options available). Team performance-based bonus. Supportive and friendly team culture. Great opportunity for career growth within a thriving business. If you re ready to join a dynamic team and make a real impact, apply today! This vacancy is being handled by Aspire Recruitment. Please be aware we receive a high volume of applications and regularly receive applications from candidates who exceed the job credentials. We will only contact you within the next 14 days if you are selected for interview. Should you apply for this role, we will process your data as detailed in our Privacy Policy and by applying for this opportunity I agree that Aspire Recruitment will keep me informed about potential employment opportunities regularly and that I can choose to opt out of receiving information at any time

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

JOB DESCRIPTION As our new Cashdesk Manager, you'll play a pivotal role in shaping and influencing ways of working in what is one of Genting's leading venues. If you're motivated by impact, influence, and the opportunity to drive meaningful change, we'd love to hear from you. Applicants must have a minimum of 2 years' experience working in a senior cashdesk position with responsibility of overseein click apply for full job details

The Royal Academy of Music is one of the world's leading conservatoires. We pride ourselves on being a stimulating, forward looking and a friendly environment with a diverse mix of students and staff from over 50 countries. Based in central London adjacent to Regent's Park, we have trained musicians to the highest professional standards since 1822 and we remain focused on developing tomorrow's musical leaders in disciplines including classical, jazz, composition and musical theatre. Following our recent announcement of a generous donation to fund existing new capital projects, we are now recruiting a Senior Facilities Manager to join our friendly Estates Department to lead operations for a period of at least three years while our existing Head of Estates moves to a new role overseeing the capital programme. The Estates team includes our in-house Security, Maintenance and Events support teams, as well as colleagues managing outsourced catering, cleaning and night-time security contracts. Reporting to the Director of Finance, the Senior Facilities Manager will be responsible for all areas of operational estates management and the smooth running the facilities on a day-to-day basis. The postholder will deliver a high level of service to staff, students and visitors, and will play a key role in managing public-facing teams of a listed building. Areas of responsibility will include all aspects of building security, maintenance, safety, soft services and the helpdesk, as well as the Events Tech team, who support the delivery of all Academy activities. The ideal candidate will have strong people and operational management experience and good technical facilities management knowledge, including experience of managing both outsourced and in-house services. They will be IWFM qualified to at least level 3, and a NEBOSH qualification would also be an advantage. Most importantly, they will have a practical approach to problem solving and be a flexible and empathetic colleague who is used to managing colleagues with a range of skills and experience. If you think this is the job for you, you can find more information and an online application form on our website via the button below. Completed applications must be received by 23.59 (midnight) on Thursday 12 March 2026. Interviews are expected to take place on-site week commencing Monday 23 March 2026. The Academy accepts applications from non-UK citizens who have the right to work in the UK. Please note that the Academy is unable to provide a certificate of sponsorship for this role, as this role does not meet the eligibility requirements for a skilled worker visa. The Academy is committed to promoting the welfare and safeguarding of all students. The Academy values diversity and welcomes your application. We particularly welcome applications from black, Asian and minority ethnic candidates, LGBTQ+ candidates, and candidates with disabilities because we would like to increase the representation of these groups in these roles. We want to do this because we know greater diversity will lead to greater results for students.

Company Profile CBRE is the global leader in real estate services and leverages the industry's most powerful knowledge base to meet the commercial real estate needs of its clients worldwide. Our vision is to be the preeminent, vertically integrated, globally capable real estate service firm. Globally we employ over 70,000 employees and operate in 48 countries. Job Title: Reception / Workplace Coordinator CBRE Global Workplace Solutions is a leading global provider of integrated facilities and corporate real estate management. We are recruiting a Reception / Workplace Coordinator to join the team located in Newcastle. Role Summary: Ownership of office floors and the surrounding areas to ensure the best workplace experience is met each day Greets employees and announces clients, applicants, and visitors. Conducts guest registration. Issues visitor passes. Maintains neat appearance reception area, conference rooms caf and other common areas. Requests building and housekeeping services as needed. Periodically inspects common area equipment to ensure good operating condition. Arranges equipment service as needed. Assists the Workplace Manager and CBRE community with general administrative support including all mail services, event management, desk booking etc. Requests building and/or equipment services as needed. Assists with the CBRE community on-boarding process, including new employee orientation, training, equipment and software ordering - workflow assistance and welcoming procedures and first day orientation management. Collaborate with IT, Maintenance, Cleaning, Helpdesk teams to ensure that issues are proactively reported and addressed in line with procedures. Full JD can be provided upon application. Experience Required: A minimum of 1 - 2 years related experience (e.g. Facilities, Front Desk, Concierge, Hospitality, Room Management, or Customer Service roles) is preferred. Advanced communication skills with the ability to effectively present information to an internal department and/or large groups of employees. Proficiency with Microsoft Office. Experience in facilities management and/or dealing with suppliers/contractors beneficial. Ability to solve problems and deal with a variety of options in complex situations.

Desktop Consultant - DV Cleared + 6 months + + Central London based - full time onsite + DV cleared role - current active clearance is essential Key Skills: + Current DV Clearance + Win10/11 experienced + MECM (SCCM) As a member of the Desktop Service Technical Specialist Team, you will be responsible for administration and management of the Microsoft Endpoint Configuration Manager (MECM) environment. Within our environment MECM is used extensively for deployment and management of OS images and Desktop applications, and as a Technical Specialist within the team you will be expected to help the Technical Lead manage the system. Including release updates and maintain the systems health. As part of the wider Desktop Service team, you will be expected to get involved in small system designs, support the MDT environments, and assist with routine monthly and daily tasks. Excellent Technical Knowledge of Microsoft Endpoint Configuration Manager (MECM) Current Branch with specific experience of o Developing Windows 10 Task Sequences and Images, and OS Deployments o Creation of Applications and Packages and deployment to device collections o Development of Compliance items and Baselines o Creation of Update Groups, Packages and Deployments, integration of offline WSUS o Creation of PowerBI Reports and reporting o General Administration and Health Monitoring o Creation of automation of MECM Administration via PowerShell o Troubleshooting MECM via client and server log files If you'd like to discuss this role in more detail, please send your updated CV to (url removed) and I will get in touch.

Security Engineer Opportunity Scotland Region Salary: Up to £40,000 + Overtime Benefits: Company Van (Personal Use), 25 Days Holiday + Bank Holidays, Pension, Life Assurance, Flexible Working Are you a skilled Security Engineer with a passion for safeguarding high-profile sites and delivering top-tier service? Our client a leading provider of integrated security solutions is seeking a proactive and reliable engineer to join their team in the Southwest. This is a fantastic opportunity to work on large-scale, high-end systems across a diverse client base. Security Engineer Role Overview As a Security Engineer, you ll be responsible for fault diagnostics, planned preventative maintenance (PPM), and reactive out-of-hours support. You ll play a key role in maintaining the integrity and safety of critical infrastructure, requiring a high level of vetting due to the sensitive nature of the sites. Security Engineer Key Responsibilities Respond to service calls and complete updates via the helpdesk system Deliver courteous, efficient, and professional service at all times Maintain the company vehicle in good working order Support colleagues and contribute to a collaborative team environment Participate in the call-out rota and adapt to flexible working hours Uphold company standards and management systems Assist the Service Manager with additional duties as required Skills & Attributes Methodical problem solver with strong analytical skills Confident communicator with excellent documentation ability Organised, reliable, and self-motivated Willing to learn and share knowledge Strong customer service and telephone manner Team-oriented with a proactive mindset Technical Expertise Essential: CCTV, IT, and PID systems Access Control with Site Mustering DVR & NVR systems On-site repair capability Desirable: Galaxy Alarms, Cortech GUI, CEM Access Control Synergy, Video Matrix Systems, IP Networks RAID Recording, Gate & Barrier first-line repairs What s in It for You Our client offers a comprehensive benefits package designed to support your wellbeing and career growth: Salary up to £40,000 + Overtime Company Van (with personal use) Remote & Hybrid Working Options Flexible Hours Around Core Schedule Health & Wellbeing Programme Life Assurance (4x Annual Salary) 5% Matched Pension Scheme Holiday Carry-Over (Up to 5 Days) Reward & Recognition Programme Long Service Awards Ready to take the next step in your security engineering career? Apply today to join a forward-thinking team committed to excellence and innovation.

Senior Service Delivery Manager (ITIL Microsoft Azure) Isle of Grain, Kent to £95k Are you a tech savvy Service Delivery Manager with MSP experience? You could be progressing your career at a growing software and technology consultancy. As a Senior Service Delivery Manager you'll manage a new account for the business, working on client site to manage the transition and have oversight to ensure the client gains maximum value from the product. You'll collaborate with the Professional Services and the Service Desk team, acting as a liaison between the business and client and ensuring that SLAs are met. As a senior member of the team, you'll also challenge the status quo internally and drive improvements and standards to Service Delivery within the business, whilst mentoring more junior Service Delivery Managers. Location / WFH: You'll be based on client site in the Isle of Grain 3-4 days a week initially, work 1-2 days work from home, with flexibility increasing as the project progresses. About you: You are an experienced Service Delivery Manager within MSP environments You have advanced stakeholder management and communication skills, able to build strong working relationships and manage clients You have a good technical understanding of ITIL 4 and the Microsoft tech stack including Azure You hold SC Clearence or are able to achieve it (i.e. UK permanent resident for 5yrs+) What's in it for you: Salary to £95k Pension Healthcare Regular social events Hybrid working Career growth opportunities Apply now to find out more about this Senior Service Delivery Manager (ITIL Microsoft Azure) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Company Profile CBRE is the global leader in real estate services and leverages the industry's most powerful knowledge base to meet the commercial real estate needs of its clients worldwide. Our vision is to be the preeminent, vertically integrated, globally capable real estate service firm. Globally we employ over 70,000 employees and operate in 48 countries. Job Title: Receptionist CBRE Global Workplace Solutions is a leading global provider of integrated facilities and corporate real estate management. We are recruiting Receptionist to join the team located in London RESPONSIBILITIES Providing support to the client and answer calls and emails in a professional and timely manner Provide a friendly and professional concierge style reception service To escort visitors to meeting rooms, take their coats and make them feel welcome (call the host, ensure that visitors are met by their hosts at reception) Issue visitor passes Actively and positively engage with colleagues, clients and other stakeholders to ensure a seamless service experience Anticipate client needs and follow up with clients to ensure that client expectations are met and where possible exceeded. Ensure that waiting visitors are kept informed of any delays and progress and to ensure client comfort. Ensure the reception desk and reception area is kept clean and tidy at all times Manage the online meeting room and visitor management system Promote and maintain CBRE & SwissRe culture throughout teams Meet and greet all employees and external visitors Ensure that all visitors are aware of the safety procedures and follow the correct signing in process Answering general telephone and email enquiries and routing calls to the relevant employees via a switchboard system Provide general admin support to the facilities team when required Undertake any other duties as requested by the Contract Manager Dealing with hospitality requests To provide after hours receptionist presence if required PERSON SPECIFICATION Education Good basic education to GCSE (or equivalent standard), which will include an English and Maths qualification. Training Proficient in the use of Outlook, Word, Excel, Access and PowerPoint. Excel skills. Able to work with computerised Front of House systems Experience Well-developed communication skills enabling the individual to work with Senior Managers, clients, suppliers, and staff of all levels and abilities. Experience in a corporate facilities and front of house environment essential Knowledge of online switchboard systems essential. Knowledge of online room booking tools an advantage. Aptitudes Excellent command of the English language demonstrated through good verbal and written communication Must be detail conscious, accurate and methodical in approach. Strong organisational and communication skills Able to work systematically and use own initiative Must demonstrate strong interpersonal skills and be able to work as part of a team as well as independently High level of presentation and politeness Easily engages in conversation and develops rapport with others Intuitive & interested in other people Flexible and adaptable to respond to differing client needs Confident, enthusiastic and motivated to deliver great service Organised and able to prioritise work activity Character Must demonstrate a strong sense of customer focus, and promote a sense of team spirit and good morale Reliable Calm manner able to work under pressure and against rapidly changing demands and priorities

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Job Title : Senior IDVA (Independent Domestic Violence Advocate) Hours: Full-time (35 hours per week) Contract Type: Fixed Term Contract to 31st March 2027 with the possibility of extension subject to availability of funding Salary: £34,250 - £35,000 depending on experience Location: Hybrid, with access to hot-desking in our London SE20 office when needed. Some co-location at venues across Bromley or Croydon borough may be needed, so flexibility is required Deadline: 2nd April 2026 April 2026 at 11.00pm Interviews: In person in London SE20, week commencing 13th April 2026 About the role: We are seeking to recruit a Senior IDVA . The ideal candidate will have both extensive experience in an IDVA role, as well as experience of supervising a team within a domestic abuse or related safeguarding setting. You will provide high-quality, trauma-informed advocacy to survivors assessed as high risk of serious harm due to domestic abuse. In addition to holding a complex caseload, you will provide day-to-day practice leadership and, where allocated, line management and supervision within the IDVA team. You will support robust safeguarding practice, monitor risk management standards, and deputise for the Service Manager when required to ensure safe and effective service delivery. Employee benefits we offer: - A friendly, flexible and values-led organisation - Competitive salary - 25 days of annual holiday, plus bank holidays (pro-rata for part-time) - Contributory pension scheme (5%) - Training to help you perform your role and support your professional development - Comprehensive Employee Assistance Programme and wellbeing support - Two Wellbeing Days and day off on birthday Who we are: Bromley & Croydon Women s Aid is a well-established, innovative and forward-thinking local domestic abuse service. We are seeking a self-motivated, flexible and experienced individual to join our dynamic team to help us deliver excellent services to vulnerable women who have experienced domestic abuse and be committed to working in a non-discriminatory manner. Location : All staff have access to hot-desking at our office as needed. Flexible working is welcomed at BCWA, with a mix of home and location-based working across our friendly and supportive team. We are all women with busy lives and families, and we understand that flexibility can be crucial in supporting women in the workplace. However this role may require some co-location across venues in Bromley & Croydon boroughs and so flexibility is required. A driving licence and access to a vehicle would be preferable however the role can still be done using public transport, but you will need to take more care when scheduling meetings and planning your travel routes. You will occasionally be required to attend our London SE20 office for meetings or staff training. Wellbeing : As a trauma-informed charity we take mental health and wellbeing seriously. We offer clinical supervision to our frontline team, regular staff wellbeing sessions, use of our Employee Assistance Programme and an additional wellbeing platform which offers a range of advice and support. Notifying candidates: We apologise in advance that we will not be able to notify candidates who are not shortlisted. If you haven t heard from us within two weeks from application deadline, please assume your application has been unsuccessful. We reserve the right to terminate the recruitment process early once the right applicant has been found or if we receive a large number of applications. Female applicants only: In light of the nature of work, the candidate s gender is considered to be an occupational requirement in accordance with Schedule 9 (part 1) of the Equality Act 2010. Equality, Diversity & Inclusion: BCWA is committed to supporting and promoting equality & diversity and creating an inclusive working environment. To achieve this, we seek to employ a diverse range of staff from many different backgrounds to better represent the communities we serve. BCWA is an Equal Opportunities Employer. Reg. Charity No

CBRE Global Workplace Solutions is a leading global provider of integrated facilities and corporate real estate management. We are recruiting a Workplace Experience Coordinator to join the team located in London. About the Role: As a Workplace Experience Coordinator with CBRE, you'll be part of the team that creates unforgettable moments within our workplace. Acting as the warm, welcoming face of the building, you'll connect employees and visitors with the services, spaces, and support they need to have an effortless and enjoyable day. You will report directly to the Workplace Experience Supervisor, ensuring strong alignment, guidance, and support as you grow within the team. This role sits at the heart of the workplace, linking community engagement, events, space logistics, and ensuring the workplace is a productivity enabler for our client colleagues. If you love going above and beyond, naturally engage with people, and enjoy making a meaningful impact in the everyday experiences of others, you'll thrive here. The Four Pillars of Your Focus 1. Community Engagement 2. Conference Centre Support 3. Space Booking & Special Events Support 4. Maintaining Exceptional Office Standards What You'll Do Create a Welcoming and Seamless Experience Act as the central point of contact for colleagues, visitors, and partners, ensuring clear, consistent communication and a smooth flow of information. Provide front desk and reception cover as needed, ensuring the welcome area is always warm, professional, and efficiently managed. Greet all building entrants with warmth and professionalism, making every interaction memorable whether in person, over the phone, or through digital channels. Manage visitor processes, including parking and security protocols, with attention to detail and a guest-first mindset. Conduct regular floor walks to monitor safety, room standards, and colleague needs, spotting opportunities to help before they're even requested. Work collaboratively within a small, supportive team where everyone contributes to a positive, can-do environment. Acknowledge and respond to inquiries or issues from employees and visitors with professionalism, escalating appropriately when needed. Raise and follow through on maintenance or housekeeping work orders; support workplace services such as mail handling, office supplies, and colleague onboarding. Coordinate with vendors to support service delivery and ensure workplace needs are consistently met. Deliver Smooth & Engaging Events Organise and support on-site events, from space bookings to setup, coordination with Facilities and Dining teams, and ensuring a polished experience from start to finish. Bring our workplace to life by delivering monthly themed community events that celebrate the time of year and local culture. These experiences should feel immersive and exciting, designed to spark connection, inspire participation, and give colleagues genuine "wow" moments that draw them into the workplace. Act as the communication hub for events, ensuring relevant teams are aligned, informed, and able to support successfully. Support Safety & Security Follow all site-specific security and emergency procedures; communicate promptly with the relevant teams to keep everyone safe and informed. Share information clearly, follow manager guidance, and use established procedures to solve day-to-day challenges. What Success Looks Like Team Integration: You build strong relationships quickly and contribute to a positive, solution-focused environment. Service Excellence: Tasks are delivered with confidence, accuracy, and a genuine smile, enhancing the overall experience for employees and visitors. Reliable Communication: Information flows smoothly and promptly across teams, ensuring alignment and avoiding friction. Operational Consistency: Meeting rooms, communal areas, and event spaces are maintained to a high standard with proactive attention to detail. Role Requirements: A degree or relevant experience, with up to 2 years in a customer service, hospitality, facilities, or administrative support role. Ability to follow established routines and apply workplace standards accurately. Strong communication skills, you're clear, approachable, and confident exchanging straightforward information. Working knowledge of Microsoft Office Suite. Excellent organisational skills, curiosity, and a proactive mindset. 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.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.