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We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical 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 Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical 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 Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical 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 Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical 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 Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical 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 Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical 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 Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical 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 Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical 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.

ASSISTANT MAINTENANCE MANAGER Full-Time | Excellent Salary & Benefits Got People are recruiting on behalf of our client for an experienced and hands-on Assistant Maintenance Manager. Are you a proactive leader who thrives in a fast-paced environment? Do you enjoy keeping operations running smoothly behind the scenes? This is an excellent opportunity to step into a key leadership role within a busy hotel environment where your impact will be visible every day. THE ROLE As Assistant Maintenance Manager, you will support the overall management of the Maintenance Department, overseeing engineers and contractors to ensure the smooth, safe, and efficient operation of equipment, facilities, and guest services. You will play a vital role in both planned preventative maintenance (PPM) and reactive maintenance, ensuring high standards are maintained across the property. KEY RESPONSIBILITIES * Supervise engineers in completing PPM and reactive maintenance tasks * Manage and liaise with external contractors for servicing and repairs * Ensure maintenance issues are resolved promptly or scheduled effectively * Lead team meetings and deputise for the Maintenance Manager when required * Ensure tools, equipment, and chemicals are stored and controlled in line with company and Health & Safety procedures * Support recruitment, training, and performance management of the maintenance team * Monitor departmental spend and work with the Property Manager to maintain budget control * Plan maintenance shifts effectively and communicate clearly across departments * Promote a safe and productive working environment at all times * Handle maintenance requests professionally and escalate where necessary WHAT WE ARE LOOKING FOR Essential: * Previous maintenance experience within a hotel or similar environment * Relevant City & Guilds building qualifications * Strong knowledge of statutory legislation including Fire, Electrical and Health & Safety regulations * Good organisational and administrative skills * GCSE English and Maths (Grade C or equivalent) * Ability to demonstrate initiative and assertiveness * Strong team-working skills * Good knowledge of hotel plant systems * Health & Safety qualification Desirable: * Strong PC skills including Microsoft Office * Mechanical and/or Electrical qualifications * Train the Trainer certification WHAT'S ON OFFER * Competitive salary and benefits package * Supportive and dynamic working environment * Career development opportunities * A role where your contribution directly impacts the guest experience If you are ready to take the next step in your maintenance leadership career and want to j

Installation Engineer (Water / Adoptable Pumping Stations) £35,000 - £42,000 + Training + Progression + 33 days holiday + Overtime + Bonus scheme + On Call + Company Vehicle + Company Benefits All potential applicants are encouraged to scroll through and read the complete job description before applying. Covering a regional patch across Hertfordshire, Bedfordshire, Cambridgeshire, Norfolk and Suffolk Are you an Installation Engineer with experience working on Adoptable Pumping Stations background looking for an exciting, autonomous role covering a regional patch within a leading company who offer stability and the chance to increase your earnings through a bonus, on call and overtime? This company are a leading provider of engineering solutions within the water industry to a varied client base. The company cover the full project lifecycle from design through to installation and servicing. This role will give you all the tools and support to really progress your career for a company that have consistently grown since and have ambitious growth plans going forward. In this role you will be working closely with a junior engineer to undertake installation and commissioning of systems within pumping stations. Further to this you will undertake liaison with clients and other key stakeholders as you cover a regional patch, with opportunities to increase your earnings through overtime and call outs. This varied role would suit an Installation / Commissioning Engineer from an Adoptable Pumping Stations background within a company which invest in their staff, actively encourage progression and personal development. The Role: • Carry out installation and commissioning of systems for Pumping Stations, • Train junior engineer, and liaise with key stakeholders and clients, • Covering a regional patch across Hertfordshire, Bedfordshire, Cambridgeshire, Norfolk and Suffolk, • Installation / Commissioning Engineer, • Adoptable Pumping Stations / Water Pumps background Reference Number: BBBH24208 If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered renumeration will be dependent on the extent of your experience, qualifications, and skill set. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. xrnqpay By applying for this job, you accept the T&C's, Privacy Policy and Disclaimers which can be found at our website.

Automatic Gate Engineer - Hertfordshire - Up to £40,000 basic salary per annum Automatic Gate Engineer Package Overview: • £33,000 - £40,000 Basic Salary + Overtime (Negotiable depending on experience), • Full-Time, Permanent, • Monday to Friday Hours, • Area Covered: Hertfordshire & the Surrounding Areas Company Overview - Automatic Gate Engineer Our Client are currently looking for an Automatic Gate Engineer to join their highly valued team on a Full-Time, Permanent basis. With many years’ experience in the industry, they’re entering another period of growth and are looking to expand their team due to customer demand. Automatic Gate Engineer Role and Responsibilities: • Installation, Service, Repair, Fault-finding & Maintenance of Automated Gates, Barriers, Bollards, Access Systems & other related products, • Field based role, covering a number of sites, • Working on a range of brands of manufacturer, • Take responsibility for the overall quality of the work delivered, • Carry out effective communication with customers at all times, • Ensure tasks are completed efficiently, • Providing support to team members where required Automatic Gate EngineerSkills and Experience Required: • A full UK driving licence or equivalent (Essential), • Ideally you will have at least 3 years’ experience working within the Gate & Barrier Industry (Not essential), • Considering applicants with all or single discipline providing you are willing to train, • Knowledge of a range of manufacturers, • Desirable qualifications include: IPAF, CSCS/ ECS, DHF/ Gate Safe and/or City & Guilds, • A positive attitude and the ability to self-motivate is a must Benefits of this Automatic Gate Engineer position include: • Competitive basic salary of up to £40,000 per annum (Negotiable depending on experience), • Company vehicle & fuel card, • Plenty of overtime available if wanted, • Opportunity to earn more money via the on-call rota, • Annual leave provided, • Pension scheme, • On-going training opportunities, • Travel Pay DON'T MISS OUT ON THIS GREAT OPPORTUNITY - APPLY NOW Get Staff acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers Please note that if you have not been contacted within 7 days, your application for this position has been unsuccessful. Industry Key Words: Automatic Gate & Barriers, Gate Automation, Automatic Gates, Hydraulic Barriers, Automatic Barriers, Roller Shutters, Engineer, Installation Engineer, Service Engineer, Maintenance Engineer, Repair Engineer, Access Gates, Speed Gates, Barriers, Automatic Car Park Barriers, Automatic Rising Barriers, Automatic Revolving Doors, Automatic Sliding Doors, Automatic Swing Doors, Automatic Gates Bi Folding, Automatic Gates Cantilever, Automatic Gates Sliding, Automatic Gates Swinging, Bollards, CAME Automation, Access Control, Roger Technologies, Parking Facilities, BFT, BPT, Beninca, FAAC, NICE, CAME, BENINCA, Videx

Junior Network Technician As a regional leader in Digital-out-of-Home (DooH) advertising in the Middle East, our client expanded into London in 2023 as part of its global growth initiative. With over 2000 digital screens in 700 premium locations across the UAE, our client aims to achieve a similar network scale in the UK over the next three years. As the company’s business continues to grow, our client is seeking an IT professional to help the company achieve its goals. Industry: Media/Advertising Position type: Full-time Location: London, UK Job title: Junior Network Technician Reports to: Site Operations Manager Starting Salary: £30,000 Position Summary: The Junior Network Technician will play a critical role in the set-up, installation, and ongoing maintenance of our digital signage network - ensuring seamless delivery of digital advertising content. The successful candidate will have experience in IT administration, with strong practical knowledge and troubleshooting skills. Applicants will need knowledge and experience of safely and accurately using basic tools to physically install IT / display / processing hardware to blockwork. Additionally, the ability to run and terminate cables and accurately and cleanly install client-facing products within high finish public facing areas is required. Our clients' London network is comprised of dozens of remotely managed independent networks and hundreds of individual Windows-based media players. The Network Technician will manage the network remotely to troubleshoot issues, run diagnostics, and observe security features. The role also requires someone who can work independently across various site locations, while also collaborating with our Dubai-based IT department. The ability to work on-site, install and replace network equipment, and move throughout the city is critical. Independent character and the ability to work autonomously are essential to success in the role. Our client’s warehouse is in Rickmansworth, and this is the main base of operations. Ideally, the Junior Network Technician would need to drive, as to begin with, they will be spending a reasonable amount of time based there, which is a 5 - 10-minute drive from the nearest train station. After an initial settling-in period, the Junior Network Technician would be spending time both in the warehouse and on specific jobs, the location of which will be all over London, mainly within the M25. Key Responsibilities: * Install, configure, and maintain network devices and systems, including routers, switches, and digital signage players and display units. * Monitor network performance, identify and troubleshoot network issues, and implement solutions to ensure minimal downtime. * Perform regular network maintenance, software updates, and backups to ensure data integrity and system reliability in collaboration with Dubai IT team. * Collaborate with the IT teams to support the deployment of digital content on our client screens. * Document network configurations, changes, and procedures to maintain an up-to-date knowledge base. * Ensure compliance with industry standards and security protocols to protect network and data integrity. Skills and Technical Competencies: * Network Fundamentals: Strong understanding of networking concepts, including TCP/IP, DHCP, DNS, VPN, and routing protocols. * Hardware Proficiency: Experience with network hardware, including routers, switches, firewalls, and wireless technologies. * Troubleshooting Skills: Ability to diagnose and resolve network issues efficiently. * Site Experience: Experience of working on-site is a plus. * Communication Skills: Excellent verbal and written communication skills to interact with team members and clients effectively. Qualifications: * Associate or bachelor’s degree in computer science, Information Technology, or related field. * Relevant certifications (e.g., CompTIA Network+, CCNA) are preferred. * Minimum of 1-2 years of experience in network administration or a similar role. * Previous experience in the DOOH industry or with digital signage systems is a plus

An Excellent Career Opportunity for an Experienced Pharmaceutical Manufacturing Supervisor, who will Report to the Manufacturing Manager and be Responsible for All Aspects of the Manufacturing Activities of the Company ROLE • Supervise and Coordinate Daily Manufacturing Operations, Including Blending, Sieving, Granulation, Compression, Encapsulation etc to Meet Production Schedules, • Ensure All Batches are Manufactured in Compliance with Approved BPRs, cGMP Standards, SOP’s, MHRA Guidelines, and Company Safety Policies, • Maintain Inspection-Ready Manufacturing Areas with High Housekeeping Standards and Promote a Culture of Safety, Accountability, and Continuous Learning, • Collaborate Closely with Other Departments to Maintain Product Quality and Resolve Operational Issues, • Supervise, Coach, Mentor and Train Process Operators, • Drive Continuous Improvement Initiatives, Recommending Process Optimisations and Equipment Upgrades to Enhance Efficiency and Compliance, • Ensure Production Equipment is Properly Maintained, Calibrated, and Available for Use; Coordinate Maintenance and Change Control Activities with Engineering Colleagues REQUIRED • Degree or Diploma in Pharmaceutical Science, Engineering, or Related Subjects, • Certified in cGMP/GMP and Familiar with MHRA Requirements and Expectations, • Health & Safety and Quality Assurance Certifications Desirable, • Proven Experience Supervising Pharmaceutical Manufacturing Operations, • Exposure to High-Volume Production, Maintaining Quality, Compliance, and Efficiency, • Hands-On Experience with GMP/cGMP Compliance, Batch Documentation, Deviations, and CAPA Implementation, • Experience of Managing, Mentoring and Developing Manufacturing Teams, • Track Record of Collaborating with Internal Stakeholders to Meet Production, Quality and Safety Targets, • Experience of Driving Continuous Improvement Initiatives and Optimising Operational Processes, • IT literate, with Experience Using Manufacturing and Documentation Systems RESPOND • Call Terry Blaney on +44 (0)(phone number removed) to Learn More about this Career Opportunity

Assistant Property Manager (Residential Lettings) Location: Hemel Hempstead or Bushey Salary: £26,000 – £30,000 per year (depending on experience) Hours: Monday – Friday 9am – 6pm, plus 1 Saturday per month (10am – 3pm, with a day off in lieu; flexible for the right candidate) Reports to: Property Management Lead / Director We are seeking a motivated and organised Assistant Property Manager to join a busy residential lettings team. This is an exciting opportunity for someone looking to develop a career in property management while gaining hands-on experience in all aspects of property administration and maintenance. Key Responsibilities Property Administration: Assist the management team in the day-to-day operations of residential properties Landlord & Tenant Relations: Maintain positive relationships with tenants and landlords, addressing concerns and issues promptly Maintenance & Contractor Coordination: Monitor maintenance requests, oversee contractors, and ensure timely completion of works Reporting: Support the preparation of reports, ensure rental payments are made on time, assist with annual rent reviews, and maintain accurate property records What We Are Looking For Able to build rapport and maintain relationships while delivering excellent customer service Excellent communicator with strong organisational skills and attention to detail Proactive problem-solver who can prioritise workloads and collaborate effectively within a team Experience in property management or administration is beneficial but not essential; full training will be provided for the right candidate Qualifications & Requirements Essential: Full UK driving licence and access to a vehicle Willingness to train for a property qualification and develop a career in property management Desirable: Previous experience in property management, customer service, or administrative roles This is a fantastic opportunity for someone looking to grow within the residential lettings sector, gain valuable experience, and develop a long-term career in property management

Deliver with Deliveroo* Become a food delivery driver with Deliveroo and find work that suits you.Make money on your own schedule with your own vehicle (scooter, bike or car).Work when you want to, at the tap of a button * Set your own earning goals * Get round-the-clock support *

Receptionist Derby Perm Part time 20 hours a week.About the RoleWe are looking for a professional, friendly, and highly organised Receptionist / Administration Assistant to join our client's team on a part‑time basis.This role is ideal for someone who enjoys supporting others, creating a welcoming

A much more exciting way to train across several areas in the hotels, utilising our exciting Mobile Gaming training platform. A much more exciting way to train across several areas in the hotels, utilising our exciting Mobile Gaming training platform. Excellent training and development including our

Post Title: Cleaning Operative 2.Location: Edinbane Primary School, Portree.Salary: £4,418 - £4,468 per annum.Salary placing will normally be at the first point of the scale.Contact Person: Madeleine McLeish Email: Madeleine.If you are unable to apply online and you wish to request an offline appl

Comprehensive training and ongoing support. Conduct routine checks for any maintenance issues and report them. Previous cleaning experience is valued but not essential; we provide training.

Previous cleaning experience is valued but not essential; we provide training. Comprehensive training and ongoing support. Identify and report any maintenance issues during routine checks to keep facilities in top shape.

W e are on the look out for a passionate Maintenance Operative to join our team!. Our maintenance operative team members play a vital role in our club's wellbeing. We take great pride with the environment in which we"operate, and it is the Maintenance Operatives responsibility to"ensure that all equ

Thetford Customer Service Centre.Shift Pattern : 5 over 7 days (Tues- Saturday ,45 working hours per week).At Currys were united by one passion: to help everyone enjoy amazing technology.As the UKs best-known retailer of tech, were proud of the service our customers receive and its all down to our

We are looking for a new warehouse operative to work a fixed day shift with our client based in the HP2 area of Hemel.This is a lone working role where you deal with goods inwards, arrange items to dispatch, scan, complete paperwork and even complete typical site hygiene when needed.You will be hand

Are you ready to make a difference and be part of a team that helps deliver for the nation?.Angard Staffing is looking for enthusiastic and reliable individuals to join us as flexible.Warehouse Operatives with Parcelforce.Whether you're looking for a new challenge or want to be part of a fast-p

Basic knowledge of vehicle maintenance and troubleshooting. Perform routine vehicle inspections and maintenance, reporting any issues or malfunctions.

Powered by Water, Driven by Purpose.South West Water keeps the South West flowing with safe, reliable drinking water and wastewater services across some of the UK's most stunning landscapes.We're proud to be part of Pennon Group, a leader in the UK water sector, working towards a greener future.Our

Are you ready to make a difference?.Royal Mail is looking for enthusiastic and dedicated individuals to join us as.If you have a passion for community service and love being on the move, this is the perfect opportunity for you! Whether you're seeking a new challenge or looking to work in a dynamic a

We currently have an excellent opportunity for a Lead Maintenance Operative with an electrical bias to join our our highly regarded repairs and maintenance team in Essex.

Buildings & Grounds Maintenance Operative. You will conduct a range of grounds maintenance activities at various sites across Drinking Water Services during spr. Buildings & Grounds Maintenance Operative.

Job Title: Warehouse Operative.Shifts: Rotational shifts : Monday to Friday: 06:15 to 14:15, Monday to Thursday: 14:00 to 22:30, Friday: 14:00 to 20:00.Gap personnel are proud to be working together with a largest global manufacturer of Lead-Acid and Lithium-ion batteries based in Swindon, who are c

DarcyBrook is looking for an experienced Warehouse Operative / Stores person.To be considered for this role you must have : .Full UK Driving Licence and Car/Motorbike.Working Hours - 6am-2pm Mon-Fri.Manage the loading/unloading of deliveries and accurate picking of stock.Provide essential stock

Immediate Starts: Begin earning immediately Weekly Pay: Payday every Friday Overtime Opportunities: Boost your earnings Excellent Refreshment Facilities: Hot drinks, on-site subsidised canteen, vending machines Comfortable Down Time Areas: Pool Tables, dart boards, ping-ping

Job Opportunity: School Cleaner – Stamford.We are looking for reliable and experienced.Extended Evening: 4:30 PM – 8:30 PM.Early Morning: 6:30 AM – 9:30 AM.Holiday & Half-Term Flexibility:.During summer breaks and half-term holidays, we offer flexible scheduling between 7:00 AM – 6:00 PM.Own

Full-Time or Part-Time | Immediate Start.We have full-time and part-time cleaning jobs available in your area.Just click 'apply' and complete our online application form - it only takes a couple of minutes and you can start immediately!.We're the best agency for home cleaners.We go out of our way to

Reporting any maintenance issues or hazards.

We are looking for a passionate and professional.Rapport team, providing exceptional front-of-house support for a prestigious financial services client in Canary Wharf.This is a dynamic, client-facing role where no two days are the same, from warmly welcoming guests on the Ground Floor to supporting

Maintenance Technician, Field Service Engineer, Mobile Service Operative, Site Maintenance Operative, Valeting Equipment Technician, Maintenance Technician, Service Engineer, Field Service Operative. Field Engineer / Repair and Maintenance Operative. An excellent opportunity for a practical individu

Hours: 7:30am - 4:00pm (8 hours per day) Working Week: 40 hours per week Role Type: Mobile / Lone Worker Key Duties Grass cutting, strimming and hedge cutting General grounds maintenance across multiple sites Litter picking and maintaining tidy outdoor environments Weed control and spraying w

Full training will be given on all duties and machinery if required. All the training and tools you need to do your job.

Early Morning Delivery Drivers Needed!.Join News Team Group, a fast-growing company delivering newspapers and magazines to homes and businesses across the UK.Were looking for reliable, self-employed delivery drivers who are ready to hit the road and make an impact in their local community.Join a tea

Location: East Sussex Hours: Evening shifts, part‑time Pay: £12.Start: ASAP A well‑established organisation is seeking a dependable, detail‑oriented Evening Cleaner to join their team.This role is ideal for someone who takes pride in maintaining high standards of cleanl

Multi Trade Operative Baillie Reynolds Maintenance Ltd are specialists in serving the social housing market. Company van and fuel card issued to PAYE workers * Monday – Friday, 08am – 16:30pm * Weekend work optional * 20 days holiday + bank holidays * Personal development an

We are looking for pleasant, reliable, flexible and hardworking individuals that take pride in their work to join our team of friendly Maintenance Operatives working mostly in the Greater Manchester and North West. Operatives will provide a high-quality maintenance service at multiple sites througho

Join our team as Emirates cabin crew and see the world as you work.This is your opportunity to be part of the world’s largest international airline.Look forward to a tax-free salary, free accommodation and great travel perks for you and your family.Make Dubai your home and enjoy all the benefits o