Breakfast jobs in RichmondCrear alertas

How would you like to get paid for five days, but only work four? At Outcomes First Group, we believe in better work/life balance — and we’re putting wellbeing first. That’s why we’re proud to be part of a 4-Day Working Week (4DWW) trial, where you can work one day less each week (or equivalent hours), while still receiving your full-time pay. Many of our schools have already introduced the 4DWW — and others are preparing to roll it out as soon as they reach full staffing. So whether it’s already in place or just around the corner, now’s the perfect time to join #teamOFG. Job Title: Kitchen Assistant Location: Hillingdon Manor School, Uxbridge, UB8 3HD Salary: £13.25 per hour Hours: 30 hours per week | Monday to Friday | 9:00am – 3:00pm Contract: Permanent | Term Time Only Start: January 2026 UK applicants only. This role does not offer sponsorship. Are you passionate about great food and creating a positive, welcoming atmosphere? We’re looking for a Kitchen Assistant to join our friendly, hardworking team at Hillingdon Manor School – where every meal served supports the wellbeing, energy, and success of our amazing pupils. About the Role This is more than just a catering role — it’s your chance to make a real difference every day in a school that values care, teamwork, and community. As our Kitchen Assistant, you’ll play a key role in preparing and serving meals, maintaining cleanliness, and ensuring pupils enjoy a safe and welcoming dining experience. This is a hands-on role where your contribution will make a real difference to the smooth running of the school. Key Responsibilities • Prepare and serve delicious, nutritious meals for pupils and staff., • Keep the kitchen running smoothly – from cooking and cleaning to helping with food service., • Set up and maintain dining areas, equipment, and utensils to high standards of cleanliness and safety., • Support the breakfast and lunch service, ensuring everything is ready, fresh, and served on time., • Follow Health & Safety and food hygiene standards to maintain a safe environment for all. You’re reliable, energetic, and take pride in doing your best work. Whether you’re serving meals with a smile or keeping the kitchen spotless, you understand how your role helps the whole school thrive. You’ll Bring: • A Basic Food Hygiene qualification – or a willingness to train., • A strong work ethic and attention to detail., • The ability to stay calm under pressure and meet deadlines., • A team player attitude with great communication skills. About Us Hillingdon Manor is an independent specialist school for autistic pupils aged 11 to 19, spread across two vibrant sites. We offer a personalised, autism-specific education that nurtures each pupil’s strengths and abilities, with an adapted curriculum designed to meet individual needs and help students achieve their full potential. Guided by our core values — Ready, Respectful, and Safe — we create a positive and supportive learning environment. Our secondary provision supports around 125 students, taught in smaller class sizes, with qualifications tailored to their needs and abilities. Our aim is to provide the right level of support to unlock each pupil’s potential, enabling them to live fulfilling and productive lives. Students are given as much freedom as possible within a safe, supervised environment, supported by a dedicated team of passionate and understanding professionals. For over 19 years Options Autism have provided care and education to pupils and adults with autism, complex needs and learning difficulties. As part of Outcomes First Group, we are leading our sector in setting and delivering new approaches that provide measurable outcomes for those in our care. We are really proud to say that in 2025, Outcomes First Group were officially certified as a ‘Great Place to Work’ for the sixth year running. Why join Options Autism? We place the outcomes of the pupils in our services at the heart of everything we do, so you’ll wake every day in the knowledge that your role will have a significant positive impact on the lives of others. We are committed to safeguarding and promoting the welfare of pupils. All applicants will be subject to social media checks and successful applicants to a fully enhanced DBS. Benefits Your health and wellbeing are important to us, so you’ll get an exceptional reward package including: • Life Assurance, • Pension scheme with options to increase your contributions, • A wide range of health, wellbeing, and insurance benefits, • 100’s of discount options valid in the UK and abroad, • Cycle to Work Schemes, • Electric Car Purchase Scheme, • Critical illness cover *You’ll work 80% of your contractual hours for 100% of your pay, giving you more time to do the things that make you happy. 4DWW is subject to successful completion of probation and is not a contractual benefit Outcomes First Group is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, Outcomes First Group does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales. #1

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 Lead 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: Lead the 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., • Advanced 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 Lead 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: Lead the 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., • Advanced 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 Lead 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: Lead the 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., • Advanced 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 Lead 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: Lead the 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., • Advanced 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 Lead 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: Lead the 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., • Advanced 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 Lead 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: Lead the 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., • Advanced 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 Lead 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: Lead the 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., • Advanced 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 Lead 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: Lead the 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., • Advanced 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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.

What makes the perfect pub? It’s great ales, delicious food, a welcoming atmosphere, and the warm welcome from a team that’s at the heart of everything we do. The Inn Collection Group is a multi-award-winning pubs with rooms company, proudly located in some of the most outstanding destinations across the North of England and Wales. At ICG, we deliver exceptional hospitality by living and breathing our core values of respect, customer focused, warmth, , and honesty, all with the goal of Making People Happy. How we say thank you! -Celebrate your birthday with an extra paid holiday. -Build your future with support from our Lead-Inn development program. -Take the time you need to rest and recharge; Paid Breaks are on us. -Enjoy 50% off food at any of our Inns -Relax with a stay at any of our Inns during January, February, and March for just £1. -Take advantage of the chance to explore our beautiful locations, with 1/3 off room bookings all year round. -Experience a spontaneous trip away with £50 on same day bookings -It’s not just for you—your loved ones can enjoy 15% off bed and breakfast too! -24/7 confidential support is always there when you need it with our Employee Assistance Programme -Tronc (…that’s tips to me and you) -Contribute to a company that gives back through our Give-inn back scheme -Join an award-winning team recognised as the Best Pub Employer at the Publican Awards. Nestled in the picturesque village of Newton under Roseberry, The King’s Head Inn is a quintessential country pub, offering a welcoming atmosphere and a prime location in Captain Cook Country. With easy access to the stunning North York Moors National Park and the Cleveland Way, it’s the perfect spot to enjoy a vibrant, rewarding environment while surrounded by natural beauty. You'll Fit Right Inn As Chef de Partie, you’ll be at the heart of our kitchen, ensuring presentation and attention to detail are paramount. With experience in a similar role and a genuine passion for food, you’ll take full responsibility for your section, delivering exceptional food service from start to finish. You will oversee food safety, storage, and compliance with legislation and company policy, working closely with the team to maintain high standards. Strong communication, time-keeping, and organizational skills are key as you collaborate with kitchen staff, front-of-house, and management teams. You’ll work efficiently under pressure, preparing food items timely and maintaining a clean working station. If you’re passionate about delivering quality food and thrive in a fast-paced environment, we think you’ll fit right inn... This role allowed Tele to learn from those around her, gaining valuable experience and expanding her knowledge in the kitchen. Watch Tele’s video to learn more about our Kitchen Team Member roles

What makes the perfect pub? It’s great ales, delicious food, a welcoming atmosphere, and the warm welcome from a team that’s at the heart of everything we do. The Inn Collection Group is a multi-award-winning pubs with rooms company, proudly located in some of the most outstanding destinations across the North of England and Wales. At ICG, we deliver exceptional hospitality by living and breathing our core values of respect, customer focused, warmth, , and honesty, all with the goal of Making People Happy. How we say thank you! -Celebrate your birthday with an extra paid holiday. -Build your future with support from our Lead-Inn development program. -Take the time you need to rest and recharge; Paid Breaks are on us. -Enjoy 50% off food at any of our Inns -Relax with a stay at any of our Inns during January, February, and March for just £1. -Take advantage of the chance to explore our beautiful locations, with 1/3 off room bookings all year round. -Experience a spontaneous trip away with £50 on same day bookings -It’s not just for you—your loved ones can enjoy 15% off bed and breakfast too! -24/7 confidential support is always there when you need it with our Employee Assistance Programme -Tronc (…that’s tips to me and you) -Contribute to a company that gives back through our Give-inn back scheme -Join an award-winning team recognised as the Best Pub Employer at the Publican Awards. Nestled in the picturesque village of Newton under Roseberry, The King’s Head Inn is a quintessential country pub, offering a welcoming atmosphere and a prime location in Captain Cook Country. With easy access to the stunning North York Moors National Park and the Cleveland Way, it’s the perfect spot to enjoy a vibrant, rewarding environment while surrounded by natural beauty. You’ll Fit Right Inn As Breakfast Chef, you’ll play a crucial role in our kitchen, ensuring presentation and attention to detail are key. A natural early riser, punctual and consistent, your experience in a similar role and commitment to fresh food environments will shine through as you take full responsibility for your section before, during, and after service. You will maintain the highest standards of food hygiene, safety, and quality, ensuring the appropriate storage, labelling, and dating of all food stock following company policy and legislation. You’ll work closely with the kitchen and front-of-house teams, demonstrating strong communication, time-keeping, and organisational skills. If you’re hardworking, eager to learn and thrive in a fast-paced environment, we think you’ll fit right inn... Tele has a passion for cooking. Watch this video to see how this role allows her to turn that passion into exceptional dishes.

What makes the perfect pub? It’s great ales, delicious food, a welcoming atmosphere, and the warm welcome from a team that’s at the heart of everything we do. The Inn Collection Group is a multi-award-winning pubs with rooms company, proudly located in some of the most outstanding destinations across the North of England and Wales. At ICG, we deliver exceptional hospitality by living and breathing our core values of respect, customer focused, warmth, , and honesty, all with the goal of Making People Happy. How we say thank you! -Celebrate your birthday with an extra paid holiday. -Build your future with support from our Lead-Inn development program. -Take the time you need to rest and recharge; Paid Breaks are on us. -Enjoy 50% off food at any of our Inns -Relax with a stay at any of our Inns during January, February, and March for just £1. -Take advantage of the chance to explore our beautiful locations, with 1/3 off room bookings all year round. -Experience a spontaneous trip away with £50 on same day bookings -It’s not just for you—your loved ones can enjoy 15% off bed and breakfast too! -24/7 confidential support is always there when you need it with our Employee Assistance Programme -Tronc (…that’s tips to me and you) -Contribute to a company that gives back through our Give-inn back scheme -Join an award-winning team recognised as the Best Pub Employer at the Publican Awards. Nestled in the picturesque village of Newton under Roseberry, The King’s Head Inn is a quintessential country pub, offering a welcoming atmosphere and a prime location in Captain Cook Country. With easy access to the stunning North York Moors National Park and the Cleveland Way, it’s the perfect spot to enjoy a vibrant, rewarding environment while surrounded by natural beauty. You’ll Fit Right Inn As an Assistant Manager you will be key to supporting the General Manager in ensuring that our Inn feels like a home away from home for our guests. Reporting directly to the General Manager, you will play a key role in leading the team, managing daily operations, and creating a welcoming and efficient environment for both staff and guests. In this role, you will work closely with the General Manager to oversee daily duties, lead a team to deliver company standards, and manage the Inn’s day-to-day operations. You’ll need to be hands-on and approachable, leading by example, and fostering a positive and collaborative atmosphere. You will handle everything from managing shift operations in our busy, fast-paced environment to conducting administrative tasks, liaising with Chefs, Management, and Suppliers. This includes stocktake and ordering, handling accounts management, and being available for occasional sleepovers and guest responses. If you have a strong background in food and hospitality, a passion for customer service, and the ability to inspire and motivate a team, we think you’ll fit right inn... This role encourages our Assistant Managers to lead, mentor, and create impactful results for the team. Watch Terry’s video to learn more about our management roles.

Teaching Assistant * London borough of Twickenham * Full-time * Long-term * £90 - £100/Day Reeson Education are looking for a primary teaching assistant to start asap.This may be during breakfast and after school clubs as well as during PE lessons and break As a Sports Graduate Tea

HGV 2 Landside Yard Driver - Hounslow (TW4).Perks: Free breakfast, lunch & dinner on shift.Experience: New passes welcome.Start: Ongoing / temp to perm positions.Omnia Resourcing is recruiting HGV Class 2 Drivers for a fantastic opportunity with a global airline catering company.This is a yard-based

Job Description The Autograph Collection is a growing collection of four and five-star independent hotels, each offering unique and memorable experiences.Each hotel is thoughtfully chosen for its quality, originality, bold character, and ability to offer today's traveler a range of unique experienc

Job Description Join the team that Always Cares! Are you the type of person that gets out of bed on the right side every day? If so, we would like you to come and join us as a Senior Breakfast Chef at the Royal Lancaster London, where we encourage your personal development and growth.

Job Description Breakfast Chef Benefit from Dalata Academy programmes, courses and learning tools that equip you with essential skills and knowledge while also providing exposure to senior team members who can mentor you along the way.

Job Description The Autograph Collection is a growing collection of four and five-star independent hotels, each offering unique and memorable experiences.Each hotel is thoughtfully chosen for its quality, originality, bold character, and ability to offer today's traveler a range of unique experienc

Job Description Breakfast Commis Chef About Hyatt Regency London Blackfriars Hyatt Regency London Blackfriars is located directly outside Blackfriars station, a few minutes away from Bank and is a short stroll from St.

Breakfast & After School Club Manager. Breakfast and After School provision for children in.

Have previous experience as a Breakfast Manager (in a smaller hotel), Assistant Breakfast Manager or Breakfast Team Leader/Supervisor in a busy hotel environment. As the Assistant Breakfast Manager, you will lead by example, showing the rest of the team how to give our guests a memorable experience.

A prestigious hotel chain in the United Kingdom is looking for a part-time Breakfast Food & Beverage Supervisor to join their team.

You will work with the weekday breakfast show, providing technical support, coordinating guests, and delivering creative excellence.

You will cook and present breakfast and lunch dishes while collaborating with the Head Chef on menu development.

If you’re motivated by social impact and want to make a real, measurable difference, Magic Breakfast is the place where your work will help shape the future of school breakfasts and transform the lives of children across the UK. With our 2040 strategy, ‘Nourishing Futures’, we have set out our

Benefits include a discount card, pension scheme, and a complimentary breakfast upon joining.

Has an overall understanding of Health and Safety protocol and risk management related to the Breakfast Department. Breakfast Team Leader/Supervisor. Ensuresour busy Breakfast Operationsruna smooth service that makes guests want to return.

Join the team that Always Cares!.Are you the type of person that gets out of bed on the right side every day? If so, we would like you to come and join us as a.Royal Lancaster London, where we encourage your personal development and growth.We are located next to Lancaster Gate tube station, and a sh

A corporate catering provider is seeking a Sous Chef for its Staines location.The role involves supporting hospitality and events, stepping in for the head chef, and maintaining food quality standards.Candidates should have a proven track record in culinary skills, adaptability in fast-paced environ

Enjoy various benefits like discounts, training, and a complimentary breakfast upon joining.

A leading hotel in London is seeking a passionate Senior Breakfast Chef to join their Kitchen Department.

A leading hotel chain in London Victoria is seeking a Housekeeper to join their team.In this permanent position, you'll ensure guest rooms are clean and well-maintained, contributing to the overall guest experience.No prior experience is necessary, as full training will be provided.The role offers 3

The successful candidate will support the weekday breakfast show, coordinate guests, and deliver high-quality content for local audiences.

Breakfast Chef - One, Bunhill Row, London. As a breakfast Chef you will have plenty of responsibility and opportunity to grow in your role, becoming a critical member of our team.

The role will involve ensuring a high level of service is delivered during the breakfast, brunch, and lunch service. We are currently recruiting for a Breakfast Manager for our destination May Fair Kitchen Restaurant located within our 5 Star May Fair, A Radisson Collection Hotel. An amazing opportu

We’re looking for talented and self-motivated Breakfast Chefs to take the lead on our busy breakfast services for this summer. Breakfast Chef - Luxury Beach Club in Greece - Summer 2026. From healthy favourites to hearty classics, our breakfast menus are designed to satisfy every guest, from early

Breakfast & After School Club Manager - Harrow, London. Job Title: Breakfast & After School Club Manager. You’d be joining the UK’s leading provider of children’s wraparound care in the UK offering a range of roles in our Breakfast, After School and Holiday Clubs!.

We’re looking for talented and self-motivated Breakfast Chefs to take the lead on our busy breakfast services for this summer. Experience in a dedicated breakfast role (desirable). Working as a Breakfast Chef at The Peligoni Club means starting each day with beautiful coastal views, a creative kit

Sous Chef- Twickenham- £44k + Benefits.We have an exciting opportunity for an ambitious Sous Chef to help us create exceptional food experiences for Levy on a full time basis, contracted to 40 hours per week.As a Sous Chef, you will be working alongside a truly passionate team to create an outstand

Full-time Kitchen Team Member vacancy at GAIL's!.If you love the smell of freshly baked bread and always work with a smile, then please read on!.We are looking for Kitchen Team Members who have a.GAIL’s family and for great food made from quality ingredients.With no day being the same, you must be

As part of the Facilities and Operations Team the post holder will undertake the role of Housekeeper and Kitchen Support at our Hallam Street Clinic.The post holder will delivery a high level of customer service to all clients, employees and visitors.This role provides support to the kitchen team on

Full-time Kitchen Team Member vacancy at GAIL's!.If you love the smell of freshly baked bread and always work with a smile, then please read on!.We are looking for Kitchen Team Members who have a.GAIL’s family and for great food made from quality ingredients.With no day being the same, you must be

As part of the Facilities and Operations Team the post holder will undertake the role of Housekeeper and Kitchen Support at our Hallam Street Clinic.The post holder will delivery a high level of customer service to all clients, employees and visitors.This role provides support to the kitchen team on

Full-time Team Member vacancy at GAIL's!.If you love interacting with customers daily and giving service with a smile, then please read on!.We are looking for Team Members who have a.GAIL’s family and want to learn more.With no day being the same, you must be.Team Member who is always on time and

Lifeguard Team Member +1Department: Ents & LeisureEmployment Type: Permanent - Full TimeLocation: SkegnessReporting To: Rachel BlanchardDescriptionAbout the Role'Getting Stuck In' is one of our key values, and we're looking for new Team Members who love doing just that!Instead of working in one depa

Full-time Kitchen Team Member vacancy at GAIL's! If you love the smell of freshly baked bread and always work with a smile, then please read on! We are looking for Kitchen Team Members who have a passion to join the GAIL’s family and for great food made from quality ingredients.Learn more about th

School Cook - CoventryPlease note: This role is to start in June 2026.Huge Small VictoriesBeing a cook in our school means being part of something big.You'll be working at the heart of the school, preparing and serving tasty, nutritious food to our young people, staff and visitorsGet out what you pu

Role: Housekeeper / Cook — Permanent | 35 hours per week Location: Danderhall, Edinburgh EH16 Hours: Monday to Friday, 10am or 11am start to 5pm or 6pm Pay: £12.Extraordinary Day Every Day New Year, New Career — Become a Support Worker in Children’s Residential Care About Spark of Genius For