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The Best HGV job you will ever do! Large Goods Vehicles (LGV) drivers will undertake delivery and collection of products to and from a variety of locations in line with all company policies and procedures. You will be required to work a flexible shift pattern consisting of nights, late and early shifts including weekends. Your minimum contracted hours will be 32 hours, however routes are assigned up to 12.5 hours per day, as such you will regularly be expected to carry out additional hours. This role is based at our Erith site, Church Manorway, London DA8 1DL. Day-to-day you will collect shopping from our state-of-the-art warehouses and take it to our smaller regional sites. No multi drops or hidden lanes. What do you get in return? Alongside a safe working environment, we offer perks and benefits to suit everyone: • Employer-funded private medical insurance after 12 months of service, • Paid Digital Tachograph card renewal, • Paid Driver Medical in line with licence requirements- through our approved supplier, • We will provide your ongoing periodic CPC training during your career, • Up to 7% matched pension contributions after three months of service, • High street shopping and restaurant discounts including 15% off Ocado.com If you want to become a career contender, there’s plenty of opportunity for progression, as 87% of our salaried roles are filled by internal colleagues! So what do we need from you? A passion for driving and all things trucks and lorries, along with the following driving licence requirements: • A category C+E driving licence, • A maximum of 6 penalty points, • No driving disqualifications in the past 10 years, • Desirable to have a minimum of 6 months experience It also is a prerequisite that you are a safe and competent driver with the ability to be flexible on your shift length on a daily basis. As our new state of the art fleet are our pride and joy and we need to know they are in safe hands. How to apply: • Fill in an online application - there is no CV required!, • Our friendly team will conduct a telephone interview, • You will complete a Right to Work Checks, • A face-to-face interview and an interview drive will then take place with a driving assessor., • Following this, we will ensure you are happy with the role and understand the shift patterns before any offers are made Pay Structure: This position is lunar paid. This means you will be paid every 4 weeks according to a monthly schedule. Please take this into consideration when applying. Hourly pay: Basic Rate: £18.48 Evening premium rate (18:00-06:00): £20.48 Sunday Day Premium rate: £20.22 Sunday Evening Premium (18:00-06:00): £22.42 Overtime day rate: £23.10 Overtime Evening rate (18:00-06:00): £25.60 About Ocado Logistics Here at Ocado Logistics, our people, technology and customers work side by side supporting the amazing communities we serve. We're all in it together - not afraid to roll up our sleeves and get stuck in. Our people are incredibly diverse and come from all walks of life with different stories and experiences. We are proud to be an Armed Forces Covenant employer providing support and opportunities for veterans, reservists, and their families. We recognise the unique skills, experiences, and qualities they bring to our workforce, and we strive to create an inclusive and supportive environment for all. Join Ocado Logistics today, where there are bags of possibilities.

The Best HGV job you will ever do! Large Goods Vehicles (LGV) drivers will undertake delivery and collection of products to and from a variety of locations in line with all company policies and procedures. You will be required to work a flexible shift pattern consisting of nights, late and early shifts including weekends. Your minimum contracted hours will be 32 hours, however routes are assigned up to 12.5 hours per day, as such you will regularly be expected to carry out additional hours. Day-to-day you will collect shopping from our state-of-the-art warehouses and take it to our smaller regional sites. No multi drops or hidden lanes. What do you get in return? Alongside a safe working environment, we offer perks and benefits to suit everyone: • Employer-funded private medical insurance after 12 months of service, • Paid Digital Tachograph card renewal, • Paid Driver Medical in line with licence requirements- through our approved supplier, • We will provide your ongoing periodic CPC training during your career, • Up to 7% matched pension contributions after three months of service, • High street shopping and restaurant discounts including 15% off Ocado.com If you want to become a career contender, there’s plenty of opportunity for progression, as 87% of our salaried roles are filled by internal colleagues! So what do we need from you? A passion for driving and all things trucks and lorries, along with the following driving licence requirements: • A category C+E driving licence, • A maximum of 6 penalty points, • No driving disqualifications in the past 10 years, • Desirable to have a minimum of 6 months experience It also is a prerequisite that you are a safe and competent driver with the ability to be flexible on your shift length on a daily basis. As our new state of the art fleet are our pride and joy and we need to know they are in safe hands. How to apply: • Fill in an online application - there is no CV required!, • Our friendly team will conduct a telephone interview, • You will complete a Right to Work Checks, • A face-to-face interview and an interview drive will then take place with a driving assessor., • Following this, we will ensure you are happy with the role and understand the shift patterns before any offers are made Pay Structure: This position is lunar paid. This means you will be paid every 4 weeks according to a monthly schedule. Please take this into consideration when applying. Hourly pay: Basic Rate: £18.48 Evening premium rate (18:00-06:00): £20.48 Sunday Day Premium rate: £20.22 Sunday Evening Premium rate (18:00-06:00): £22.42 Overtime Day rate: £23.10 Overtime Evening rate (18:00-06:00): £25.60 About Ocado Logistics Here at Ocado Logistics, our people, technology and customers work side by side supporting the amazing communities we serve. We're all in it together - not afraid to roll up our sleeves and get stuck in. Our people are incredibly diverse and come from all walks of life with different stories and experiences. We are proud to be an Armed Forces Covenant employer providing support and opportunities for veterans, reservists, and their families. We recognise the unique skills, experiences, and qualities they bring to our workforce, and we strive to create an inclusive and supportive environment for all. Join Ocado Logistics today, where there are bags of possibilities.

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.

The Best HGV job you will ever do! Large Goods Vehicles (LGV) drivers will undertake delivery and collection of products to and from a variety of locations in line with all company policies and procedures. You will be required to work a flexible shift pattern consisting of nights, late and early shifts including weekends. Your minimum contracted hours will be 32 hours, however routes are assigned up to 12.5 hours per day, as such you will regularly be expected to carry out additional hours. Day-to-day you will collect shopping from our state-of-the-art warehouses and take it to our smaller regional sites. No multi drops or hidden lanes. What do you get in return? Alongside a safe working environment, we offer perks and benefits to suit everyone: • Employer-funded private medical insurance after 12 months of service, • Paid Digital Tachograph card renewal, • Paid Driver Medical in line with licence requirements- through our approved supplier, • We will provide your ongoing periodic CPC training during your career, • Up to 7% matched pension contributions after three months of service, • High street shopping and restaurant discounts including 15% off Ocado.com If you want to become a career contender, there’s plenty of opportunity for progression, as 87% of our salaried roles are filled by internal colleagues! So what do we need from you? A passion for driving and all things trucks and lorries, along with the following driving licence requirements: • A category C+E driving licence, • A maximum of 6 penalty points, • No driving disqualifications in the past 10 years, • Desirable to have a minimum of 6 months experience It also is a prerequisite that you are a safe and competent driver with the ability to be flexible on your shift length on a daily basis. As our new state of the art fleet are our pride and joy and we need to know they are in safe hands. How to apply: • Fill in an online application - there is no CV required!, • Our friendly team will conduct a telephone interview, • You will complete a Right to Work Checks, • A face-to-face interview and an interview drive will then take place with a driving assessor., • Following this, we will ensure you are happy with the role and understand the shift patterns before any offers are made Pay Structure: This position is lunar paid. This means you will be paid every 4 weeks according to a monthly schedule. Please take this into consideration when applying. Hourly pay: Basic Rate: £18.48 Evening premium rate (18:00-06:00): £20.48 Sunday Day Premium rate: £20.22 Sunday Evening Premium rate (18:00-06:00): £22.42 Overtime Day rate: £23.10 Overtime Evening rate (18:00-06:00): £25.60 About Ocado Logistics Here at Ocado Logistics, our people, technology and customers work side by side supporting the amazing communities we serve. We're all in it together - not afraid to roll up our sleeves and get stuck in. Our people are incredibly diverse and come from all walks of life with different stories and experiences. We are proud to be an Armed Forces Covenant employer providing support and opportunities for veterans, reservists, and their families. We recognise the unique skills, experiences, and qualities they bring to our workforce, and we strive to create an inclusive and supportive environment for all. Join Ocado Logistics today, where there are bags of possibilities.

The Best HGV job you will ever do! Large Goods Vehicles (LGV) drivers will undertake delivery and collection of products to and from a variety of locations in line with all company policies and procedures. You will be required to work a flexible shift pattern consisting of nights, late and early shifts including weekends. Your minimum contracted hours will be 32 hours, however routes are assigned up to 12.5 hours per day, as such you will regularly be expected to carry out additional hours. Day-to-day you will collect shopping from our state-of-the-art warehouses and take it to our smaller regional sites. No multi drops or hidden lanes. What do you get in return? Alongside a safe working environment, we offer perks and benefits to suit everyone: • Employer-funded private medical insurance after 12 months of service, • Paid Digital Tachograph card renewal, • Paid Driver Medical in line with licence requirements- through our approved supplier, • We will provide your ongoing periodic CPC training during your career, • Up to 7% matched pension contributions after three months of service, • High street shopping and restaurant discounts including 15% off Ocado.com If you want to become a career contender, there’s plenty of opportunity for progression, as 87% of our salaried roles are filled by internal colleagues! So what do we need from you? A passion for driving and all things trucks and lorries, along with the following driving licence requirements: • A category C+E driving licence, • A maximum of 6 penalty points, • No driving disqualifications in the past 10 years, • Desirable to have a minimum of 6 months experience It also is a prerequisite that you are a safe and competent driver with the ability to be flexible on your shift length on a daily basis. As our new state of the art fleet are our pride and joy and we need to know they are in safe hands. How to apply: • Fill in an online application - there is no CV required!, • Our friendly team will conduct a telephone interview, • You will complete a Right to Work Checks, • A face-to-face interview and an interview drive will then take place with a driving assessor., • Following this, we will ensure you are happy with the role and understand the shift patterns before any offers are made Pay Structure: This position is lunar paid. This means you will be paid every 4 weeks according to a monthly schedule. Please take this into consideration when applying. Hourly pay: Basic Rate: £18.48 Evening premium rate (18:00-06:00): £20.48 Sunday Day Premium rate: £20.22 Sunday Evening Premium rate (18:00-06:00): £22.42 Overtime Day rate: £23.10 Overtime Evening rate (18:00-06:00): £25.60 About Ocado Logistics Here at Ocado Logistics, our people, technology and customers work side by side supporting the amazing communities we serve. We're all in it together - not afraid to roll up our sleeves and get stuck in. Our people are incredibly diverse and come from all walks of life with different stories and experiences. We are proud to be an Armed Forces Covenant employer providing support and opportunities for veterans, reservists, and their families. We recognise the unique skills, experiences, and qualities they bring to our workforce, and we strive to create an inclusive and supportive environment for all. Join Ocado Logistics today, where there are bags of possibilities.

If you love the idea of lighting historic estates, national art collections and one-of-a-kind private residences, this is your ideal your next move.This specialist consultancy has spent decades creating bespoke lighting for some of the most remarkable spaces in the world.Theyre now entering a new ph

Requirements To be considered for the role of Geography Teacher you will: QTS or QTLS (or an equivalent UK teaching qualification) A degree or equivalent level of education Experience teaching Art at Key Stages 3 - 5 in UK secondary schools Strong classroom management sk. This fixed-term Teacher o

Sheet Metal Worker (Precision Engineering).Overtime + Enhanced Holiday + Pay and Role Development + Training + On-Site Parking + Pension + Free Refreshments.Are you a Sheet Metal Worker looking to join a well-established company that possesses state-of-the-art engineering resources and offers overti

FindTutors is looking for passionate Art History tutors to join our growing online teaching community.

Receive a discounted rate on your Personal Training Rent whilst employed as a Fitness Coach. With a readymade client base, state of the art facility, best in class support and development, group training products and a rapidly growing brand, there is no better place to build your business and progre

This advert is for one full time Art Teacher position at Sybil Elgar School (Woodlands). Applications for this job are sought from anyone who is suitably qualified and experienced for the role but particularly welcome from those with a diagnosis of autism.

Your Career, Your Way What we expect of Art Teachers: Someone who can show a commitment to teaching Someone who has a passion for Art that is infectious Someone who loves to lead and inspire the next generation Someone who can quickly form good relationships with young people In return, we can

Participate in extracurricular activities related to art. Assess and monitor student progress in art. Job Overview: As an Art Teacher, you'll inspire students to express their creativity through various mediums.

The Role As Head of People Services, you will Lead the end-to-end delivery of people/shared services including HR operations, payroll, reward, benefits and HR systems Ensure consistent service standards, robust controls and full legislative compliance Drive process improvement, automation and syst

Description Food and Art Technician – Permanent (Full Time) - January – Brentwood – Actual salary £22,636 pa * Food and Art Technician – Brentwood * Food and Art Technician – Permanent * Food and Art Technician – January start * Food and Art Techni

We are seeking a talented and dedicated Art and Design Teacher to join our vibrant school community in Marlow, Buckinghamshire starting in January 2026 on a long-term contract. Job Advertisement: Full-Time Art and Design Teacher - January 2026. This is a fantastic opportunity for a skilled educator

We work with most secondary schools across Bristol, with new Art & Design teaching vacancies coming in frequently! What We Offer: ✅ Flexible work based on your availability - we match to suit your needs! ✅ Short-term, long-term, full-time, and part-time roles available - whatever su

We are seeking a talented and dedicated Art and Design Teacher to join our vibrant school community in Marlow, Buckinghamshire starting in January 2026 on a long-term contract. Are you passionate about inspiring creativity and artistic expression in students?. This is a fantastic opportunity for a s

This role involves working both independently and as part of a wider maintenance team, ensuring safe, efficient, and compliant delivery of services to our clients. Participate in the out-of-hours rota (if applicable).

Job Advertisement: Full-Time Art and Design Teacher - January 2026 Location: Marlow, Buckinghamshire Start Date: January 2026 - Long term contract Contract: Full-Time Are you passionate about inspiring creativity and artistic expression in students? We are seeking a talented and dedicated Art

Work both independently and as part of a wider installation team.

We are seeking to appoint an Art & Design Technician who is totally aligned to our values of Hard Work, Integrity and Kindness and who strives for Excellence in everything they do.

We're excited about our agency brand and where it can grow, you'll develop Order+Chaos projects and initiatives that allow to to be part of the cultural conversation. You’ll be part of a team that’s actively changing who gets to make the work, and who gets to be in the room. We’re looking for

Job Title: Art Director (3D Art & Immersive Experiences). This role complements our existing Art Director, who focuses on Icons & Legend 3D Character Avatars, by owning all other aspects of visual design and art direction across projects. Proven experience as an Art Director or Senior 3D Artist in g

Our methodology is driven by a proprietary AI program, with dedicated experts embedded in every department to pioneer intelligent solutions that deliver unparalleled client growth. Trusted by global leaders from startups to enterprises like Google, Uber, Samsung, and Reddit, we deliver end-to-end re

You would be part of an organisation that stands alone as a leading online platform for art sales, celebrated for its commitment to quality, innovation, and the fostering of connections between artists and a global audience. If you are passionate about business development, transforming the art indu

Committed to driving meaningful change—a change built on a foundation of rich experience, inspired by innovation, and confirmed through our proven track record—we work in close partnership with healthcare professionals, patients, carers, and leading pharmaceutical brands to navigate the complex

Proven track record as an Art Director or Senior Art Director. Foster collaboration across internal teams and with external partners. To be considered for the role of (Senior Art Director) you must be able to demonstrate the following:.

Committed to driving meaningful change—a change built on a foundation of rich experience, inspired by innovation, and confirmed through our proven track record—we work in close partnership with healthcare professionals, patients, carers, and leading pharmaceutical brands to navigate the complex

Gazelli Art House, established in 2010 by Mila Askarova, is a contemporary art gallery located in London’s Mayfair district. Proficiency in using office software, such as Microsoft Office Suite, Notion and ArtLogic. Knowledge in contemporary art and the gallery sector is a requirement.

You'll be more than a Art Teacher, you'll be able to connect with our pupils because of:- Your 'can do' attitude - a team player who rolls up their sleeves to help others- Your genuine passion for teaching Art and the impact your subject can have on young lives- The ability to relate your subject to

Cambian Hartlepool School is looking for an inspiring Art Teacher to lead Art across the school and contribute teaching any other subjects. Art Teacher / Vocational Subjects (Other subjects considered) Hartlepool, Durham | Full time, Term time Up to £35,000 Make a real difference through creativity

This role requires a confident and collaborative Senior Art Director with a beautifully crafted portfolio that dem. We’re looking for an experienced and hands on Senior Art Director to join a global creative studio that sits onsite with a longstanding client in the Financial Services / corporate s

Become a part of the Otis team and help us #Buildwhatsnext!. Grove Park, 7 Barton Close Grove Park, LE19 1SJ, Leicester, United kingdom. When you join Otis, you become part of an innovative global industry leader with a resilient business model.

This hands-on role requires solid experience in customs processes and logistics, particularly in road freight.

By helping galleries connect with a broader audience through Artsy’s platform, you’ll directly support our mission of expanding the art market to support more art and artists in the world. This role sits at the heart of our Gallery Partnerships team, playing a key part in expanding our subscript

A creative marketing agency in London is seeking an experienced Art Director to develop conceptual ideas for brand campaigns. The ideal candidate will have over 7 years of experience in advertising, strong art direction skills, and a passion for leveraging AI in creative processes.

The Senior Art Director is responsible for leading the creative vision, ideation and artistic direction of our brand storytelling, ensuring the seamless execution of high-quality visual concepts. Cultivate and maintain strong relationships with creative team, cross‑functional partners, and externa

Strong collaborative skills, working with other creatives, strategy, client services and external production partners. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition

If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition Partner. Diversity and inclusion is a core part of who we are at Publicis Pro. Minimum of 5 years of experience in an a

A leading luxury fashion brand is seeking an Assistant Art Director for their Marketing team. The ideal candidate will possess strong proficiency in design software, a keen visual aesthetic, and a solid educational background in the arts.