4501 jobs found

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

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

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

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

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

HR Advisor 12 - 18 months FTC £40,000-£45,000 + mileage (47p per mile) Exeter, Somerset & surrounding areas Full-time (4-day week considered) Are you an experienced HR Advisor looking for a role where you can make a genuine impact, build strong relationships, and be part of a modernising HR function?This is an exciting opportunity to join a growing organisation during a period of positive change, helping shape how HR partners with leaders across a multi-site care environment. Why this role? A chance to be part of a small, capable, supportive HR community. Plenty of visibility - hybrid working with around three days a week spent on-site with your allocated branches. A varied role blending ER casework with the option to get involved in meaningful HR projects. An organisation actively modernising its HR approach, technology and policies. The opportunity to build strong relationships and genuinely influence how HR is perceived. The Role You'll be a trusted advisor to Residential Managers across a portfolio of Clients, building capability, providing confident HR support, and managing a busy and varied ER caseload. Responsibilities include: Managing sickness, performance, disciplinary and grievance cases. Coaching managers, helping them feel more comfortable and skilled in people conversations. Leading or supporting elements of consultation activity. Being a visible HR presence - attending sites regularly and managing your own diary (work from home or office or at client sites flexibly) Supporting project work such as policy updates, harmonisation, and new role profiles (depending on your interests). Contributing to improved HR processes and supporting the transition to new HR systems. About You We're looking for someone who is: An experienced HR Advisor with strong ER experience. Confident, pragmatic and able to build trust quickly. Comfortable challenging when needed and guiding managers through sensitive situations. Resilient, organised, and happy working largely autonomously. A driver with access to a vehicle (travel across Somerset and local neighbouring counties required). Experience of working with trade unions or change processes is helpful, though not essential. What's on Offer Salary of £40,000-£45,000 37-hour week (4 days or condensed hours considered) 47p per mile The chance to join a strengthening HR team with a great reputation among operational leaders A supportive environment with genuine development opportunities The ability to specialise in Business as usual or get hands-on with project work depending on your preference Ideal Start: March If you're an experienced advisor who enjoys building relationships, making things happen and being out on-site supporting leaders, this could be a great next step for you.

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

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

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

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

Your new company Southend-on-Sea City Council's new Multi-Disciplinary Team (MDT) consists of subject-matter experts specialising in domestic abuse, drug and alcohol support, mental health support for adults and children and systemic family therapy. MDT workers bring specialist knowledge and therapeutic insight. Their expertise is instrumental in engaging families in direct intervention and supporting sustainable change.The MDT team is situated within frontline social work teams. The interventions from MDT are delivered within the community and/ or in the families' homes.This is an exciting time for Children's Social Work, and we are seeking experienced, motivated and passionate individuals to join the new dynamic Multi-Disciplinary Team (MDT).Led by the Team Manager, you will help create the conditions for sustainable change, working alongside a diverse team of subject-matter experts. Your new role The new team are looking to appoint a full-time, permanent Systemic Family Therapist to provide specialist systemic psychotherapy across a range of community settings. You will support practitioners and managers working with families experiencing significant challenges, offering expert consultation, guidance, and direct therapeutic intervention.This is an exciting opportunity to do more than just practice systemic therapy, it is an opportunity to shape, develop and create new ways of practising. This role will give you the chance to use your skills directly with families, offering targeted interventions mainly within family homes. You will deliver trauma-informed work aimed at reducing risk, strengthening resilience, and facilitating positive behavioural or relational change within families. A key aspect of the role involves leading and supporting the development of robust risk assessments, ensuring risks to children and vulnerable adults are identified, analysed, and addressed.This is a pivotal post within the new service and will play a vital role in improving the quality of assessments, decision-making, and interventions across children's services.The multi-disciplinary team will work alongside the Family Help teams as part of the Families First transformation in children's services. You will be working with families open on high-end child in need plans (CIN) and child protection plans (CP). The aim of working at this level is to address the needs and risks presented with interventions that reduce the likelihood of children entering care.This service will provide you with the opportunity to effect positive change and offer support to families in our area. Other key responsibilities Deliver specialist systemic psychotherapy and trauma-informed direct work with children and families. Provide expert consultation and reflective practice sessions for practitioners and managers. Lead and support high-quality risk assessments, care planning, and safety planning. Promote a whole family, systemic approach as part of a wider therapeutic service. Model relational, strengths-based, and evidence-informed practice across Children's Services. Help embed systemic principles organisation-wide, ensuring children remain at the centre of all interventions. Work collaboratively within multi-agency environments, contributing to improved safeguarding and risk management. Whilst this position is predominately on site at Southend City Council, working from home options are available, but will depend on the needs of the team. What you'll need to succeed To be shortlisted for this position, it is essential that you have a degree in Family & Systemic Psychotherapy and hold a UKCP registration. You will have extensive experience of working within children, young people and families facing emotional, relational, or social complexity.Have a strong ability to work within multi-agency environments, applying a systemic lens to safeguarding, child development, trauma, and family functioning. Be warm, reflective, and collaborative communication and interpersonal skills with families in need of support. What you'll get in return When joining the council, you can enjoy a range of benefits including: 25 days annual leave, flexible working and excellent training and development opportunities. They are committed to ensuring that you are supported in this varied and challenging role with the appropriate level of training. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Accommodation Manager - Premium Residential Living (Perfect for Retail, Hotel & Hospitality Supervisors / Assistant Managers) City Centre Location Up to 30,000 + 10% Bonus Career progression in a fast-growing sector Are you currently working as a Retail Supervisor, Assistant Store Manager, Duty Manager, or Hotel/Hospitality Supervisor and ready for your next step? Do you love leading teams, delivering great customer experiences and running smooth day-to-day operations , but want a role outside the pressures of retail trading hours or hotel shift patterns? This could be the perfect move. We're recruiting for an Accommodation Manager within a premium residential living environment - a role where your leadership, customer service and operational skills will translate perfectly. The Opportunity You'll help oversee the day-to-day running of a modern residential building, ensuring residents receive a five-star service experience while supporting a small on-site team. It's a fantastic opportunity for someone from retail or hospitality who enjoys managing people, maintaining high standards and creating a welcoming environment. What You'll Be Doing Supporting the day-to-day operations of a premium residential building Leading, motivating and developing a small on-site team Delivering a high level of customer service and resident experience Overseeing standards across the building and shared spaces Supporting facilities and maintenance coordination Working alongside a Facilities Technician to ensure Health & Safety compliance Helping ensure the building runs smoothly, safely and professionally Who This Role Is Perfect For We're particularly keen to speak with candidates currently working in: Retail management (Assistant Store Manager / Supervisor / Department Manager) Hotel or hospitality leadership roles (Duty Manager / Supervisor / Assistant Manager) You'll likely have: At least 1 year of management or supervisory experience A strong background in customer service and team leadership Experience managing daily operations or running shifts A hands-on leadership style and a proactive mindset Strong organisation and communication skills A positive, energetic approach to work Property experience is not required - your leadership and service skills are what matter most. What's in It for You Salary up to 30,000 (DOE) 10% performance-related bonus Career progression within a rapidly growing organisation A supportive, collaborative working culture Opportunity to transition your retail/hospitality experience into a long-term career sector Working Pattern Three shift patterns (Mon-Fri): 7:00am - 4:00pm 9:00am - 6:00pm 12:00pm - 9:00pm Plus 1 in 3 weekends . Compared with retail and hospitality roles, this offers a more structured and balanced working pattern . Ready for a New Career Direction? If you're looking to move your retail or hospitality leadership experience into a new and growing industry , we'd love to hear from you. Apply today with your CV. (Due to high application volumes, we may not be able to respond to every applicant.)

Contracts Manager A well-established fire protection contractor is seeking an experienced Contracts Manager to join their management team. The company delivers high-quality, compliant fire safety solutions across residential and commercial sectors and has an expanding portfolio of contracts. Position: Contracts Manager Location: Manchester Salary: 50,000 - 65,000 per annum + Package Contract Type : Permanent Start date: Immediately available Role Overview The Contracts Manager will oversee multiple fire protection projects from contract award to completion, ensuring works are delivered safely, on time, within budget, and to the highest quality standards. The role requires technical expertise in fire doors and fire stopping, strong leadership skills, and a thorough understanding of statutory regulations and third-party accreditation schemes. Key Responsibilities Manage fire protection contracts, including fire door installation and fire stopping works Plan, coordinate, and monitor contract programmes to ensure timely delivery Lead and manage site managers, supervisors, operatives, and subcontractors Ensure full compliance with health and safety legislation, company procedures, and client requirements Maintain compliance with third-party accreditations and support audits and inspections Liaise with clients, consultants, and internal teams to ensure smooth project delivery Monitor quality standards, ensuring works meet current regulations and specifications Support commercial management, including managing variations, risks, and opportunities for improvement Prepare progress reports, forecasts, and handover documentation Candidate Requirements Proven experience as a Contracts Manager within fire protection or a closely related sector Fire door and fire stopping experience (essential) Strong understanding of third-party accreditation schemes and regulatory compliance Health & Safety qualifications such as IOSH, SMSTS, or equivalent Experience in social housing is highly desirable Excellent leadership, organisational, and communication skills Ability to manage multiple contracts simultaneously Based in or willing to travel within Manchester and surrounding areas How to Apply If you are an experienced Contracts Manager with a strong background in fire protection and are looking for a new challenge, we would welcome your application.

Robert Half are recruiting a newly created Finance Manager role which would suit someone stepping up into their first Finance Manager position. This is a permanent position working for a growing SME based in Chippenham. If you have recently qualified and are seeking a role with progression opportunities, please read on. The role The Finance Manager will be responsible (in time following support and development) for a wide variety of duties and will be a key support to the Head of Finance. This role would suit someone who has recently qualified (or up to 4 years PQE) who is seeking their first move into industry or a step up within industry. The role will involve but not be limited to: Monthly management accounts preparation. Financial analysis including variance analysis and scenario planning. Product costing. Cash flow forecasting. Statutory reporting. Liaising with auditors. VAT returns. Supervising 1-2 accounts clerks. Profile This role would suit someone who has recently qualified seeking a step up into a more senior role. The successful candidate will have the following skills/attributes: Proactive, forward thinking and driven. ACCA/ACCA/CIMA newly qualified with up to 4 years PQE (finalists will also be considered). Excellent interpersonal and communication skills. Experience of auditing or working in SMEs preferred. Intermediate level excel. Happy with 5 days onsite initially: potential to offer 1-2 days from home long term. Benefits £50,000 - £60,000 base salary. Free onsite parking. 25 days leave + bank holidays. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Sky Media is the advertising arm of Sky; offering brands an exciting array of channels, websites and apps as means of reaching existing and future customers. Sky Media represents all of Sky's channels and sites, including Sky Sports, Sky News, Sky Showcase, Sky Cinema, Sky Arts, Sky Witness, Sky Atlantic and Sky Media also sells on behalf of a host of other famous and renowned brands, including Discovery Networks, Viacom, Fox and NBC Universal. Sky Media offers many different ways of connecting with consumers, whether at home or on the move. From traditional spot ads and sponsorships to advertiser funded content and product placement - all on an ever-increasing array of offline and online platforms. Team overview: We are a small regional team based in Manchester, responsible for supporting all agencies outside of London, including Scotland, Wales, Northern Ireland. What you'll do: Act as a trusted partner to designated agency stakeholders, taking ownership of the end-to-end delivery, optimisation, and commercial success of campaigns across your portfolio. Represent Sky Media in high-stakes agency conversations by bringing insight into campaign delivery challenges, commercial constraints, and revenue opportunities Drive campaign health and commercial yield by influencing trading outcomes, resolving delivery risks, and leading cross-functional coordination with Operations and offshore teams. Act as a primary liaison for offshore team, responsible for oversight of campaign management, making judgment-led decisions and aligning cross-functional teams to deliver quick, commercially-sound resolutions Lead on performance reviews and data-led discussions with agencies to ensure campaigns are optimised and aligned with commercial KPIs. Support Managers on proactive sales prospecting support trading strategy and maximise late sales opportunities. Use initiative to flag emerging delivery issues, negotiate effective mitigations, and suggest tactical upsell strategies to capitalise on late market opportunities. What you'll bring: Proven experience in a media, advertising sales, or campaign management role. Experience managing live campaigns end-to-end, including delivery, optimisation, and performance tracking. Confidence working with media agencies or commercial partners, building trusted working relationships. Strong commercial mindset, with the ability to balance delivery challenges and revenue objectives. Comfortable using data and insights to support optimisation and performance conversations. Experience collaborating with cross-functional teams to resolve issues and drive outcomes. Proactive, organised, and able to make sound decisions in a fast-paced environment. Clear, confident communicator with strong attention to detail. The Rewards: There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences How you'll work: At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. The hybrid working expectations for this role are 3 days in the office per week. Your office base: Manchester Cotton House: The Sky Media Manchester team are based in the city centre, a two-minute walk from St Peter's Square tram stop. Parking is available on site on a first come, first serve basis. The team have access to a newly renovated roof terrace (to enjoy when it's not raining!) and can take advantage of services and events through the Bruntwood Collective. These include access to fitness classes, book club and other socials. Inclusion : We're an equal opportunity employer and value diversity at our company. We don't discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We'll 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. A job you love to talk about. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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

A place to create moments that matter Location: North West, Hybrid with travel across the region and to other offices Salary: £47,720 per annum Contract: Permanent, 35 hours per week, Monday Friday 9am 5pm plus on call rota Thousands of families rely on them for a safe, affordable home and as the housing crisis deepens, their work matters more than ever. Their belief that everyone deserves a place to call home drives everything they do. Together, they find new ways to understand their customers, support them, and deliver positive change. If you want a career that makes a real impact, this is the place to be. About the role As a Housing Manager, you ll lead a team of Housing Officers and drive operational performance, customer experience, and consistent service across your area. Around 60% of your time will be spent on site in the office, out on patch, alongside your team, or meeting customers and partners. This visibility helps you understand challenges, spot opportunities, and shape how your team performs. A role centred on people You don t need previous management experience. What matters is your passion for customers, ability to inspire positive behaviours, and commitment to helping others grow. You ll support colleagues with complex cases, build confidence, and ensure customers across different tenures receive a consistent service. Collaboration at the heart You ll work closely with Leasehold & Homeownership Officers and specialist teams to deliver a joined up service. You ll also be part of their national Housing Manager network, sharing best practice and contributing to continuous improvement. Externally, you ll build relationships with local agencies, attend community meetings, and work with partners who support their customers. You ll bring clarity on team performance and highlight where support or improvements are needed. Salary The spot salary is £47,720 for applicants who fully meet the requirements. If you re still developing some skills, you may start 5 10% below the spot rate with support to progress. This role also includes an essential car user allowance. About you Good understanding of core housing management functions Passion for excellent customer experience Ability to motivate teams and drive high performance Confident working with partners and agencies Skilled in supporting officers with complex or sensitive casework CIH Level 4 (or willingness to work towards it) Full UK driving licence and access to a vehicle Pre employment checks (DBS and social media screening) apply Interviews They want your experience to reflect who they are a place to grow, thrive, and be you. Stage 1: A Place to Connect Introductory call with the hiring manager Planned date: 8th April via Teams Stage 2: A Place to Show Your Strengths Role related presentation plus behavioural and scenario based interview, with a Congruity Questionnaire completed beforehand Planned date: 14th April at their Burnley office A place to build a future They re ambitious and want people who want to grow with them. You ll learn new skills, shape your career, and be part of a collaborative team where your ideas matter. What you can look forward to: Generous time off: 28 days holiday plus bank holidays, your birthday off, and the option to buy more Health & wellbeing: Cash health plan, Health MOTs, online GP access, gym discounts, and a volunteering day Financial perks: Car leasing, salary sacrifice schemes, and discounts through their benefits platform Future-focused: Access to Defined Contribution and Defined Benefit pension schemes, plus life assurance Family-friendly: Enhanced parental leave and flexible working options Career development: Management training, Leadership Academy, apprenticeships, and more This is more than a job it s a place to make an impact, feel valued, and be rewarded for what you do. They believe diversity makes them stronger and are committed to creating a workplace where everyone feels respected and able to thrive. If you need reasonable adjustments at any stage, just let them know. Please note you must already have the right to live and work in the UK, as our client does not hold a sponsorship licence. If you re looking for a place where you can make a positive difference to society, their customers, and your own future apply now. Recruitment Agencies: They work exclusively with partners on their PSL and do not accept unsolicited CVs or speculative approaches for this role. REF-

Oxford High School is seeking to appoint a Creative Content & Digital Marketing Manager to lead the development and delivery of high-quality digital content and marketing campaigns that support the School's strategic priorities. This role is central to communicating the School's ethos, ambition and distinctive educational experience with clarity and impact. The postholder will shape and evolve the School's digital presence, including oversight of the website and digital channels, ensuring that communications are purposeful, audience-focused and aligned with recruitment, reputation and community engagement objectives. Working closely with the Director of Marketing, Admissions and Communications, the Admissions team and the Marketing & Communications Officer, the successful candidate will translate strategic priorities into compelling campaigns, content and creative outputs. They will lead the planning and delivery of integrated marketing activity across key recruitment moments, including open events and admissions cycles, and will develop engaging content that brings to life the achievements, experiences and aspirations of the School community. The role includes responsibility for managing and developing digital channels, delivering a structured and strategic approach to social media, and overseeing the ongoing development and optimisation of the School's website, including content, user journey and SEO. The postholder will also lead the creation of high-quality visual and written content, including photography, video and editorial features, working with colleagues across the School as well as external creative partners where appropriate. Candidates should have proven experience in digital marketing, content strategy or communications, with strong storytelling ability and experience of producing engaging multimedia content. They will demonstrate a clear understanding of digital platforms and audience engagement, alongside excellent organisational skills and the ability to manage multiple priorities effectively. A collaborative approach and the confidence to contribute both strategically and in a hands-on capacity are essential. This is an excellent opportunity to play a key role in shaping how Oxford High School communicates its identity and impact to a wide and engaged audience. About the School: Since its foundation over 150 years ago, Oxford High School has been innovative and pioneering in its approach to girls' education. Today, Oxford High School is a happy and vibrant place to work: our students are highly motivated and ambitious, supportive yet self-aware. From our youngest Reception pupils through to our longest-serving members of staff, there is a real sense of pride at being part of the Oxford High community. Benefits: As part of the GDST, the UK's leading network of independent girls' schools, we can offer a variety of benefits, such as: Competitive salaries and pay progression Access to extensive professional development opportunities Training grants for qualifications Generous pension schemes Free life assurance benefit A discount of up to 50% on fees for children at GDST schools Interest free loans for training, computer purchase loans and travel season ticket loans A Cycle to Work scheme Competitive terms and conditions of employment Please click on the apply button to apply. Application Deadline: 23:59 Monday 6th April 2026. Initial Online Interviews will take place on Thursday 9th April 2026. 2nd Stage Interviews will take place in person on Monday 13th April 2026. We reserve the right to change these dates or to interview before this time. We also reserve the right to close this advert early. Therefore, we strongly recommend early applications. The Girls' Day School Trust is committed to safeguarding and promoting the welfare of children, and applicants must be willing to undergo child protection checks appropriate to the post, including online searches and checks with past employers and the Disclosure and Barring Service.

Marketing Manager - Campaigns & PR sought by the Windows Solutions division of an international polymer manufacturer, in their Ross-on-Wye office. This global company has nearly 200 locations worldwide and supplies to a range of industries including construction, industrial and automotive industries. This is a part-time 25 hour per week - 12-month fixed Term contract maternity cover. My client is preferably seeking an experienced professional with a track record to step in for maternity cover who can hit the ground running. However, there is some flexibility to also consider a less experienced full-time Marketing Manager (37.5 hours). The Role: As the Marketing Manager - Campaigns & PR you will be reporting to the Head of Marketing & Communications, in this position you will be responsible for managing our customer B2B and B2C marketing campaigns to cover maternity leave. Working closely with the Head of Marketing & Communications on executing the marketing strategy and managing impactful campaigns that will elevate the Window Solutions brand, drive customer acquisition and ultimately increase sales across all our customer segments. Your day-to-day duties as Marketing Manager - Campaigns & PR will include: • Contribute to the design and implementation of the overarching marketing strategy, which aligns with the organisation's strategic growth objectives • Creation and execution of marketing campaigns • Track and analyse the performance of campaigns, providing insights and measuring ROI • Raise profile of the company using marketing tools and platforms. Identify avenues for brand exposure • Generation of engaging content for all marketing platforms • Co-ordinating PR activity aligned to the campaigns • Work with agencies to implement the PR and communications plan and strategy • Staying up to date with industry news and developments for use in marketing content. The successful Marketing Manager should have: • Degree in relevant marketing-related discipline or Business is strongly preferred • A strong level of experience within a similar PR & Marketing role within the B2B & B2C markets is essential • Strong project leadership and planning skills • Excellent communication and relationship-building abilities • Competency in writing compelling and creative campaign content • Proficiency in PR and marketing software and tools • A creative mindset with a strategic and analytical approach • Attention to detail, with a methodical approach Benefits: • £25,00 to £31,188 per annum for 25 hours per week part-time • Typically 3 days per week but for experience there is some flexibility on hours/days • Auto-enrolment pension scheme • Health cash plans • Occupational health • Holiday buy/sell scheme (4 days year 1, rising to 5 days from year 2) • Sick pay • Cycle To Work scheme • 32 days' holiday including bank holidays, increasing with service (pro ratta'd) • Smart casual dress code • Dress-down Fridays • Free parking • Onsite EV charge points • Internal training academy • E-learning opportunities including LinkedIn Learning • Access to external training and supported education • Stunning office location • Excellent working environment • Long term career opportunities Marketing Manager - Campaigns & PR Ross-on-Wye, Herefordshire £25,000 - £31,188 pa depending on experience excellent benefits Marketing Manager Marketing Executive Campaigns Campaigns & PR Marcomms Manager Marketing & PR PR & Marketing Marketer Senior Marketing SEO Online Marketing Business to Business Construction Engineering Manufacturing