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Sky
Senior Machine Learning Engineer (Recommendation)
Sky
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.
Apr 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Sky
Senior Machine Learning Engineer (Recommendation)
Sky
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.
Apr 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mechanical Project Engineer
Trades Workforce Solutions Romsey, Hampshire
Electrical Project Engineer - Multiple Locations Altera Recruitment Group is working with a well established engineering organisation operating within regulated and safety critical environments to recruit an Electrical Project Engineer. This role involves the end to end delivery of electrical engineering projects, combining project coordination, site involvement, commissioning support, and stakeholder engagement. The position suits a technically competent electrical engineer with strong organisational skills and experience working on live engineering projects.
Apr 13, 2026
Full time
Electrical Project Engineer - Multiple Locations Altera Recruitment Group is working with a well established engineering organisation operating within regulated and safety critical environments to recruit an Electrical Project Engineer. This role involves the end to end delivery of electrical engineering projects, combining project coordination, site involvement, commissioning support, and stakeholder engagement. The position suits a technically competent electrical engineer with strong organisational skills and experience working on live engineering projects.
PAM
Technical Sales Manager
PAM Strelley, Nottinghamshire
At Saint-Gobain PAM, we're looking for a Technical Sales Manager to support our Commercial team, supporting the delivery of our regional sales strategy through high-value technical solutions and trusted customer relationships. This role is available due to the retirement, offering a rare opportunity to step into a well-established position with strong industry presence and clear development potential. Technical Sales Manager role sits within our technical solutions function, a team that plays a critical role in differentiating Saint-Gobain PAM in the UK water industry. You'll work closely with consultants, contractors and internal/external sales teams to influence specifications, support major projects and frameworks, and deliver technically robust, value-driven solutions. Based in Orchard Place, Nottingham, the role covers a regional remit and includes site activity, collaboration with design teams, and involvement in complex, high-value projects. It's a varied, outward-facing role that combines technical expertise with relationship-led design solutions. There will be a requirement for site visits, including occasional overnight stays near project locations. Saint-Gobain PAM is part of Saint-Gobain UK & Ireland, a global leader in sustainable construction. PAM is a key player in the UK water industry, specialising in ductile iron pipeline systems and engineered solutions that support long-term infrastructure resilience, sustainability and whole-life value. Our technical expertise and customer support are widely recognised across the industry and are a key reason customers choose to work with us. What we're looking for: Strong technical and design experience within engineering or pipeline-related environments Understanding of pipework design principles and the ability to evaluate technical solutions Experience working with consultants, contractors or specifiers in a technical or commercial capacity Confident communicator, able to present and articulate solutions clearly Self-motivated, resilient and detail-focused HND or Degree level in an engineering discipline What you'll be doing: Supporting strategic and high-value customers with technical solutions across major projects and frameworks Influencing specifications and designs to deliver best-value, sustainable outcomes Providing technical input including design reviews, site support and problem resolution Working closely with external sales teams to align technical activity with commercial priorities Representing Saint-Gobain PAM professionally with customers and industry stakeholders Are Saint-Gobain inclusive employers? Saint-Gobain is a worldwide leader in light and sustainable construction, following our purpose of 'Making the World a Better Home'. We play a part in improving daily life through high-performance solutions. From wherever you are, let your unique personality and our values guide you every day to invent a more sustainable world. We understand that a diverse workplace is not only a more enjoyable place to be, but also facilitates better decision making and innovation. So, whoever you are, and whichever Saint-Gobain business you join, you can be sure of a warm welcome with us. And what about flexibility? At Saint-Gobain, we're always open to new ways of working. Everyone has different needs and commitments. We'll happily discuss any need you might have for this role. Whilst we can't promise to meet every request when we're recruiting, we do promise to listen. If you match our criteria, we will be in touch to discuss your experience and more about you as a person, we look forward to hearing from you!
Apr 13, 2026
Full time
At Saint-Gobain PAM, we're looking for a Technical Sales Manager to support our Commercial team, supporting the delivery of our regional sales strategy through high-value technical solutions and trusted customer relationships. This role is available due to the retirement, offering a rare opportunity to step into a well-established position with strong industry presence and clear development potential. Technical Sales Manager role sits within our technical solutions function, a team that plays a critical role in differentiating Saint-Gobain PAM in the UK water industry. You'll work closely with consultants, contractors and internal/external sales teams to influence specifications, support major projects and frameworks, and deliver technically robust, value-driven solutions. Based in Orchard Place, Nottingham, the role covers a regional remit and includes site activity, collaboration with design teams, and involvement in complex, high-value projects. It's a varied, outward-facing role that combines technical expertise with relationship-led design solutions. There will be a requirement for site visits, including occasional overnight stays near project locations. Saint-Gobain PAM is part of Saint-Gobain UK & Ireland, a global leader in sustainable construction. PAM is a key player in the UK water industry, specialising in ductile iron pipeline systems and engineered solutions that support long-term infrastructure resilience, sustainability and whole-life value. Our technical expertise and customer support are widely recognised across the industry and are a key reason customers choose to work with us. What we're looking for: Strong technical and design experience within engineering or pipeline-related environments Understanding of pipework design principles and the ability to evaluate technical solutions Experience working with consultants, contractors or specifiers in a technical or commercial capacity Confident communicator, able to present and articulate solutions clearly Self-motivated, resilient and detail-focused HND or Degree level in an engineering discipline What you'll be doing: Supporting strategic and high-value customers with technical solutions across major projects and frameworks Influencing specifications and designs to deliver best-value, sustainable outcomes Providing technical input including design reviews, site support and problem resolution Working closely with external sales teams to align technical activity with commercial priorities Representing Saint-Gobain PAM professionally with customers and industry stakeholders Are Saint-Gobain inclusive employers? Saint-Gobain is a worldwide leader in light and sustainable construction, following our purpose of 'Making the World a Better Home'. We play a part in improving daily life through high-performance solutions. From wherever you are, let your unique personality and our values guide you every day to invent a more sustainable world. We understand that a diverse workplace is not only a more enjoyable place to be, but also facilitates better decision making and innovation. So, whoever you are, and whichever Saint-Gobain business you join, you can be sure of a warm welcome with us. And what about flexibility? At Saint-Gobain, we're always open to new ways of working. Everyone has different needs and commitments. We'll happily discuss any need you might have for this role. Whilst we can't promise to meet every request when we're recruiting, we do promise to listen. If you match our criteria, we will be in touch to discuss your experience and more about you as a person, we look forward to hearing from you!
Sky
Principal Machine Learning Engineer
Sky City Of Westminster, London
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.
Apr 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Sky
Principal Machine Learning Engineer
Sky
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.
Apr 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Sky
Senior ML Engineer
Sky City Of Westminster, London
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.
Apr 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
ZST330 Sound Testing Engineer Job - Train into Air Tightness North London / London / Home Cou ...
Zest4Talent
Sound Testing Engineer Job - Train into Air Tightness North London / London / Home Counties £35,000 Zest4Talent is partnering with a growing consultancy in the built environment sector to recruit an experienced Sound Testing Engineer. This is an exciting opportunity for someone looking to develop into air tightness testing and build a long-term career in environmental compliance and building performance testing. If you're searching for sound testing jobs in London, air tightness engineer roles, or building compliance careers, this role offers real progression, hands on training, and the chance to work with a supportive and expanding business. The Role - Sound Testing Engineer (with Air Tightness Training) As a Sound Testing Engineer, you will be responsible for carrying out on site sound insulation testing across residential and commercial developments. You will also have the opportunity to train into air tightness testing (ATTMA), expanding your technical skillset within the building performance sector. This is a site based role covering North London, London and the Home Counties, offering varied projects and excellent career development. Key Responsibilities Conduct sound insulation testing in accordance with UK building regulations (Part E) Carry out testing on new build residential and commercial properties Produce accurate, detailed sound testing reports Work closely with site teams, developers and contractors Ensure compliance with all acoustic and building performance standards Maintain and calibrate testing equipment Train and develop into air tightness testing (ATTMA standards) Manage multiple projects across London and surrounding areas Requirements Experience as a Sound Testing Engineer / Acoustic Tester Ideally 2+ years' experience in sound insulation testing Knowledge of UK building regulations and compliance standards Strong interest in developing into air tightness testing Excellent communication and client-facing skills Full UK driving licence (essential) Ability to work independently and manage workload effectively Desirable Skills ATTMA qualification or experience in air tightness testing Experience working within the built environment / construction sector Understanding of wider environmental or compliance testing Salary & Benefits Salary up to £35,000 Full training and support into air tightness testing Opportunity to join a growing, supportive consultancy Career progression in building performance and environmental testing Varied projects across London and the Home Counties Why Apply? This is not just another engineering role. You'll be joining a company that values its people, supports development, and offers genuine career progression in a growing sector. Whether you're looking for: Sound testing jobs in London Air tightness engineer roles Building compliance or environmental testing careers this opportunity gives you the platform to grow. Apply Now To apply for this Sound Testing Engineer job in London, contact Zest4Talent today or submit your CV.
Apr 13, 2026
Full time
Sound Testing Engineer Job - Train into Air Tightness North London / London / Home Counties £35,000 Zest4Talent is partnering with a growing consultancy in the built environment sector to recruit an experienced Sound Testing Engineer. This is an exciting opportunity for someone looking to develop into air tightness testing and build a long-term career in environmental compliance and building performance testing. If you're searching for sound testing jobs in London, air tightness engineer roles, or building compliance careers, this role offers real progression, hands on training, and the chance to work with a supportive and expanding business. The Role - Sound Testing Engineer (with Air Tightness Training) As a Sound Testing Engineer, you will be responsible for carrying out on site sound insulation testing across residential and commercial developments. You will also have the opportunity to train into air tightness testing (ATTMA), expanding your technical skillset within the building performance sector. This is a site based role covering North London, London and the Home Counties, offering varied projects and excellent career development. Key Responsibilities Conduct sound insulation testing in accordance with UK building regulations (Part E) Carry out testing on new build residential and commercial properties Produce accurate, detailed sound testing reports Work closely with site teams, developers and contractors Ensure compliance with all acoustic and building performance standards Maintain and calibrate testing equipment Train and develop into air tightness testing (ATTMA standards) Manage multiple projects across London and surrounding areas Requirements Experience as a Sound Testing Engineer / Acoustic Tester Ideally 2+ years' experience in sound insulation testing Knowledge of UK building regulations and compliance standards Strong interest in developing into air tightness testing Excellent communication and client-facing skills Full UK driving licence (essential) Ability to work independently and manage workload effectively Desirable Skills ATTMA qualification or experience in air tightness testing Experience working within the built environment / construction sector Understanding of wider environmental or compliance testing Salary & Benefits Salary up to £35,000 Full training and support into air tightness testing Opportunity to join a growing, supportive consultancy Career progression in building performance and environmental testing Varied projects across London and the Home Counties Why Apply? This is not just another engineering role. You'll be joining a company that values its people, supports development, and offers genuine career progression in a growing sector. Whether you're looking for: Sound testing jobs in London Air tightness engineer roles Building compliance or environmental testing careers this opportunity gives you the platform to grow. Apply Now To apply for this Sound Testing Engineer job in London, contact Zest4Talent today or submit your CV.
Lead Software Engineer
Gamma Recruitment team Manchester, Lancashire
At Gamma, we're more than just a leader in Unified Communications as a Service (UCaaS). We're a fast-moving technology organisation delivering innovative voice, data, and mobile solutions across Europe. Our product and service portfolio is at the heart of what we do - powering reliable, scalable communications for thousands of businesses. Behind the scenes, our engineering teams design, build, and maintain the software systems that generate real business impact. We combine the agility of a start-up mindset with the stability of a leading European business. Collaboration, ownership, and continuous improvement define how we work - and we're always looking for people who want to build meaningful technology at scale. Who are we looking for? Lead Software Engineers are responsible for developing and maintaining the Group Products suite of proprietary OSS/BSS and UCaaS & CCaaS solutions, including building new features and functionality across the platform and web/desktop user interfaces. They focus on technically challenging work and may move between squads where their deeper expertise is needed. Apply advanced technical skills such as performance tuning, site reliability engineering and complex debugging to ensure the stability, scalability, security, and performance of the platform. What will you be doing day-to-day? Collaborate with product and engineering peers to scope, plan and estimate complex requirements, ensuring all solutions are well thought through and future proof. Actively suggest coding and process improvements, considering latest industry trends and best practice. Take a leading role in technically challenging development work across the platform and applications, whilst maintaining the stability of existing codebase, using TypeScript, Node.js and React. Evaluate and integrate relevant third-party services and tools where required, ensuring best practice integration rules are adhered to and integrations are stable and performant. Develop REST APIs using best practice standards and conventions, with attention to performance, reliability, security, and scalability. Produce comprehensive Solution Design documents for review before implementation including detail on security considerations, testing required, performance implications and potential impacts across the stack. Review Solution Design documents and provide constructive feedback for other members of the team. Take an active role in peer code reviews and code deployment via CI/CD pipelines. Mentor engineers across the team on best practice and coding standards. Apply site reliability engineering practices to improve system observability, resilience and incident response. Perform performance profiling, optimisation and capacity planning to ensure applications meet SLAs. What You'll Need Strong experience using, and deep working knowledge of TypeScript (6+ years) Extensive experience developing applications using frontend frameworks, such as React, Angular Strong knowledge of HTML/CSS (6+ years) Experience mentoring engineers at various levels. Strong experience running large production services in AWS Strong production experience of containerisation and Kubernetes. VoIP/WebRTC experience (Not required but highly beneficial) Experience implementing logging, monitoring and observability solutions. Strong knowledge of design patterns and software architecture principles. Strong production experience of working with SQL and non-SQL databases. Proven ability to diagnose and resolve complex performance issues using profiling and analysis tools. Experience with site reliability engineering practices including incident response, post-mortems and SLA management. What do we offer you? At Gamma, we believe in work-life balance, which is why we offer 25 days of annual leave, plus an extra day off for your birthday. We also provide a volunteer day, allowing you to support a cause that matters to you. Family is important to us. With enhanced maternity and paternity pay, we support you at every stage of life. Our contributory pension scheme helps you plan for the future, with Gamma increasing contributions in line with yours. Your wellbeing comes first. We offer group income protection, life assurance (four times your salary), and private medical insurance through Vitality, which extends to your immediate family. We want you to share in our success, which is why we offer tax-efficient share save and share incentive plans. We're also committed to sustainability, offering an Electric Vehicle scheme through Octopus and a Cycle to Work scheme, making greener travel easier. A few things to note Unfortunately, we can't offer visa sponsorship or relocation support for this role. This role is hybrid, with office and home working flexibility. If you feel you could be a great fit for Gamma but don't meet every requirement, we still encourage you to apply - you might be exactly who we're looking for. Gamma is an equal opportunity employer. We are committed to building inclusive, diverse teams where everyone can be their authentic selves. We welcome applications from all backgrounds and do not discriminate based on any protected characteristics. Recruitment agencies We work with a trusted group of recruitment partners and are not looking to expand this network at present. Please do not send speculative CVs.
Apr 13, 2026
Full time
At Gamma, we're more than just a leader in Unified Communications as a Service (UCaaS). We're a fast-moving technology organisation delivering innovative voice, data, and mobile solutions across Europe. Our product and service portfolio is at the heart of what we do - powering reliable, scalable communications for thousands of businesses. Behind the scenes, our engineering teams design, build, and maintain the software systems that generate real business impact. We combine the agility of a start-up mindset with the stability of a leading European business. Collaboration, ownership, and continuous improvement define how we work - and we're always looking for people who want to build meaningful technology at scale. Who are we looking for? Lead Software Engineers are responsible for developing and maintaining the Group Products suite of proprietary OSS/BSS and UCaaS & CCaaS solutions, including building new features and functionality across the platform and web/desktop user interfaces. They focus on technically challenging work and may move between squads where their deeper expertise is needed. Apply advanced technical skills such as performance tuning, site reliability engineering and complex debugging to ensure the stability, scalability, security, and performance of the platform. What will you be doing day-to-day? Collaborate with product and engineering peers to scope, plan and estimate complex requirements, ensuring all solutions are well thought through and future proof. Actively suggest coding and process improvements, considering latest industry trends and best practice. Take a leading role in technically challenging development work across the platform and applications, whilst maintaining the stability of existing codebase, using TypeScript, Node.js and React. Evaluate and integrate relevant third-party services and tools where required, ensuring best practice integration rules are adhered to and integrations are stable and performant. Develop REST APIs using best practice standards and conventions, with attention to performance, reliability, security, and scalability. Produce comprehensive Solution Design documents for review before implementation including detail on security considerations, testing required, performance implications and potential impacts across the stack. Review Solution Design documents and provide constructive feedback for other members of the team. Take an active role in peer code reviews and code deployment via CI/CD pipelines. Mentor engineers across the team on best practice and coding standards. Apply site reliability engineering practices to improve system observability, resilience and incident response. Perform performance profiling, optimisation and capacity planning to ensure applications meet SLAs. What You'll Need Strong experience using, and deep working knowledge of TypeScript (6+ years) Extensive experience developing applications using frontend frameworks, such as React, Angular Strong knowledge of HTML/CSS (6+ years) Experience mentoring engineers at various levels. Strong experience running large production services in AWS Strong production experience of containerisation and Kubernetes. VoIP/WebRTC experience (Not required but highly beneficial) Experience implementing logging, monitoring and observability solutions. Strong knowledge of design patterns and software architecture principles. Strong production experience of working with SQL and non-SQL databases. Proven ability to diagnose and resolve complex performance issues using profiling and analysis tools. Experience with site reliability engineering practices including incident response, post-mortems and SLA management. What do we offer you? At Gamma, we believe in work-life balance, which is why we offer 25 days of annual leave, plus an extra day off for your birthday. We also provide a volunteer day, allowing you to support a cause that matters to you. Family is important to us. With enhanced maternity and paternity pay, we support you at every stage of life. Our contributory pension scheme helps you plan for the future, with Gamma increasing contributions in line with yours. Your wellbeing comes first. We offer group income protection, life assurance (four times your salary), and private medical insurance through Vitality, which extends to your immediate family. We want you to share in our success, which is why we offer tax-efficient share save and share incentive plans. We're also committed to sustainability, offering an Electric Vehicle scheme through Octopus and a Cycle to Work scheme, making greener travel easier. A few things to note Unfortunately, we can't offer visa sponsorship or relocation support for this role. This role is hybrid, with office and home working flexibility. If you feel you could be a great fit for Gamma but don't meet every requirement, we still encourage you to apply - you might be exactly who we're looking for. Gamma is an equal opportunity employer. We are committed to building inclusive, diverse teams where everyone can be their authentic selves. We welcome applications from all backgrounds and do not discriminate based on any protected characteristics. Recruitment agencies We work with a trusted group of recruitment partners and are not looking to expand this network at present. Please do not send speculative CVs.
Access Talent Group
Graduate Structural Engineer
Access Talent Group Bristol, Gloucestershire
Overview Access Talent Group is partnering with a large, multidisciplinary national consultancy that is looking to strengthen its Bristol office by recruiting an experienced Graduate Structural Engineer. The role involves contributing to a diverse portfolio across residential, commercial, industrial, retail, and domestic projects, with opportunities to gain experience through site visits and collaboration with senior staff. Responsibilities Work on a wide range of projects including residential, commercial, industrial, retail, and domestic developments. Conduct site visits and assist in bringing designs to life. Work closely with senior staff to support professional development and growth within a busy, supportive team. Contribute to the Bristol office's success across different sectors. Qualifications Experienced graduate structural engineer Proven experience working on residential and commercial buildings Familiarity with EuroCode Experience with steel and reinforced concrete (desirable) Full right to live and work in the UK Benefits Market-leading salary 24 days of leave Subscriptions to professional memberships Opportunities to work on projects across the UK World-class professional development Apply Interested candidates are encouraged to apply to join a thriving team and further their career in a dynamic environment.
Apr 13, 2026
Full time
Overview Access Talent Group is partnering with a large, multidisciplinary national consultancy that is looking to strengthen its Bristol office by recruiting an experienced Graduate Structural Engineer. The role involves contributing to a diverse portfolio across residential, commercial, industrial, retail, and domestic projects, with opportunities to gain experience through site visits and collaboration with senior staff. Responsibilities Work on a wide range of projects including residential, commercial, industrial, retail, and domestic developments. Conduct site visits and assist in bringing designs to life. Work closely with senior staff to support professional development and growth within a busy, supportive team. Contribute to the Bristol office's success across different sectors. Qualifications Experienced graduate structural engineer Proven experience working on residential and commercial buildings Familiarity with EuroCode Experience with steel and reinforced concrete (desirable) Full right to live and work in the UK Benefits Market-leading salary 24 days of leave Subscriptions to professional memberships Opportunities to work on projects across the UK World-class professional development Apply Interested candidates are encouraged to apply to join a thriving team and further their career in a dynamic environment.
Kepak Group
Multi Skilled Maintenance Engineer
Kepak Group Tipton, West Midlands
Kepak McIntosh Donald are a globally recognised brand and the largest red meat producer in Scotland; raised on open pastures, sourced from local farmers and hand selected by our master butchers, we produce beef and lamb products with integrity and unmatched quality assurance. We are looking for the Multi Skilled Maintenance Engineer, to join our Maintenance and Engineering team to provide effective maintenance support to the Production team, maintain and repair the equipment, machinery and tools used in the factory. Rotating shift cover roster (4 on / 4 off), dayshift pattern Role Requirements Undertake Electrical and Mechanical routine maintenance of equipment, quality inspections and fault finding on the production lines and process, working to minimise down time PCL Logic experience advantageous but not essential. Electro mechanical repairs to high speed, PLC controlled plant, handling and packaging equipment, also pneumatic and hydraulic control systems Effectively communicate with production teams, providing timely updates on breakdowns/down time Technical support for the plant facilities and services, including compressed air, refrigeration and steam Ability to carry out Preventive & Predictive Maintenance Routine inspections, reports and remedial works. Support Production Team in achieving targets Closely monitor production line and machine performance, identifying and investigating faults as well as improvement opportunities. Intervene online at points of failure and when reduction in performance occurs. Be observant and work off your own initiative with regards to fault detection, plan, communicate and execute remedial action as required. Analyse the efficiency of current procedures and suggest improvements Work with equipment suppliers on new equipment, installations and modifications Maintain cleanliness in any areas in which you are working and partake in achieving 5S standard. Co operate and participate fully in training and development in cross skilling and other job related competencies Proactively use the maintenance management system (CMMS), records of all changes, stores transactions made, and work carried out Actively participate in toolbox talks and undertake permit to work and/or risk assessments (training provided) Be available to support and participate in rotating shift cover roster (4 on / 4 off), dayshift pattern. Contribute to machinery compliance with the relevant health and safety legislation, as well a relevant site food hygiene and safety requirements Due to the high volume of applications we receive, we will only be contacting candidates who are shortlisted for the next stage of the recruitment process. We appreciate your understanding and thank you for your interest in the role. Commitment to Company Values; Passion for food, Ambition, Responsibility and Teamwork Passion for Food at forefront of day to day performance Ambition to develop self to achieve personal and business goals Responsibility for positive contribution to business Team Work across all levels, departments and teams, willing to go the extra mile Suitable Mechanical and/or Electrical Qualification essential Experience working in a manufacturing environment desirable; meat/food production experience a distinct advantage Comprehensive knowledge of mechanical, electrical, PLC control, refrigeration and PTW systems desirable Strong diagnostic/root cause analysis skills essential Proactive and "can do" attitude essential Sound understanding of integrity and compliance to relevant legislation and company processes/procedures Commitment to good practice Fluent English, communicates well in written and oral form with multi nationals on all levels Ability to multitask and work under own initiative to deliver to deadlines Relationship builder with influencing skills Company Pension Industry training and professional development 31 days annual leave per year (after probation) 25% Discount in our on site Butcher Shop Subsidised canteen serving multiple hot food options for breakfast and lunch Employee Discount Platform - All Kepak employees are entitled to access to the WrkIt platform, which offers significant discounts and cashback with hundreds of brands. Refer a Friend Scheme - Earn a referral bonus up to £500 for successfully referring a friend or family member to Kepak Group. Bike to Work Scheme - You can buy a bike and safety equipment through a salary sacrifice scheme which reduces your taxable income - meaning you pay less tax! Long Service Awards - We recognise, acknowledge and award the dedication and valuable contribution of long serving employees GroceryAid Employee Assistance Program - help with a wide range of topics including mental health and wellbeing support, family and relationship advice, debt management, back to work support, and counselling for all Kepak colleagues and their families.
Apr 13, 2026
Full time
Kepak McIntosh Donald are a globally recognised brand and the largest red meat producer in Scotland; raised on open pastures, sourced from local farmers and hand selected by our master butchers, we produce beef and lamb products with integrity and unmatched quality assurance. We are looking for the Multi Skilled Maintenance Engineer, to join our Maintenance and Engineering team to provide effective maintenance support to the Production team, maintain and repair the equipment, machinery and tools used in the factory. Rotating shift cover roster (4 on / 4 off), dayshift pattern Role Requirements Undertake Electrical and Mechanical routine maintenance of equipment, quality inspections and fault finding on the production lines and process, working to minimise down time PCL Logic experience advantageous but not essential. Electro mechanical repairs to high speed, PLC controlled plant, handling and packaging equipment, also pneumatic and hydraulic control systems Effectively communicate with production teams, providing timely updates on breakdowns/down time Technical support for the plant facilities and services, including compressed air, refrigeration and steam Ability to carry out Preventive & Predictive Maintenance Routine inspections, reports and remedial works. Support Production Team in achieving targets Closely monitor production line and machine performance, identifying and investigating faults as well as improvement opportunities. Intervene online at points of failure and when reduction in performance occurs. Be observant and work off your own initiative with regards to fault detection, plan, communicate and execute remedial action as required. Analyse the efficiency of current procedures and suggest improvements Work with equipment suppliers on new equipment, installations and modifications Maintain cleanliness in any areas in which you are working and partake in achieving 5S standard. Co operate and participate fully in training and development in cross skilling and other job related competencies Proactively use the maintenance management system (CMMS), records of all changes, stores transactions made, and work carried out Actively participate in toolbox talks and undertake permit to work and/or risk assessments (training provided) Be available to support and participate in rotating shift cover roster (4 on / 4 off), dayshift pattern. Contribute to machinery compliance with the relevant health and safety legislation, as well a relevant site food hygiene and safety requirements Due to the high volume of applications we receive, we will only be contacting candidates who are shortlisted for the next stage of the recruitment process. We appreciate your understanding and thank you for your interest in the role. Commitment to Company Values; Passion for food, Ambition, Responsibility and Teamwork Passion for Food at forefront of day to day performance Ambition to develop self to achieve personal and business goals Responsibility for positive contribution to business Team Work across all levels, departments and teams, willing to go the extra mile Suitable Mechanical and/or Electrical Qualification essential Experience working in a manufacturing environment desirable; meat/food production experience a distinct advantage Comprehensive knowledge of mechanical, electrical, PLC control, refrigeration and PTW systems desirable Strong diagnostic/root cause analysis skills essential Proactive and "can do" attitude essential Sound understanding of integrity and compliance to relevant legislation and company processes/procedures Commitment to good practice Fluent English, communicates well in written and oral form with multi nationals on all levels Ability to multitask and work under own initiative to deliver to deadlines Relationship builder with influencing skills Company Pension Industry training and professional development 31 days annual leave per year (after probation) 25% Discount in our on site Butcher Shop Subsidised canteen serving multiple hot food options for breakfast and lunch Employee Discount Platform - All Kepak employees are entitled to access to the WrkIt platform, which offers significant discounts and cashback with hundreds of brands. Refer a Friend Scheme - Earn a referral bonus up to £500 for successfully referring a friend or family member to Kepak Group. Bike to Work Scheme - You can buy a bike and safety equipment through a salary sacrifice scheme which reduces your taxable income - meaning you pay less tax! Long Service Awards - We recognise, acknowledge and award the dedication and valuable contribution of long serving employees GroceryAid Employee Assistance Program - help with a wide range of topics including mental health and wellbeing support, family and relationship advice, debt management, back to work support, and counselling for all Kepak colleagues and their families.
The Alan Turing Institute
Research Assistant, Applied Research Group (ARG)
The Alan Turing Institute
The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security (D&NS) theme at the Turing is looking to expand its Applied Research Group (ARG). As a team, ARG applies cutting edge research to real-world problems. Impact takes multiple forms: the fast development of a proof-of-concept to show what s possible; candid technical discussions to highlight what s not; and longer-term projects to deliver bespoke capabilities. Day-to-day, ARG collaborate closely with partners technical and subject-matter experts. The ARG is a cross-disciplinary team therefore able to respond to a wide variety of problem sets and encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. CANDIDATE PROFILE Please note that successful candidates will need to be eligible to undertake the DV clearance process once in-post and be willing to go through this process. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . In terms of the ideal candidate, we encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. You will have demonstrable experience in machine learning and be able to take initiative and carry out research independently. We are looking for candidates with experience in some of the following languages: Python, C, C++, Rust, Go. As well as the relevant technical experience successful candidates will have excellent written and verbal communications skills and the ability to clearly communicate complex or specialist information clearly and concisely. DUTIES AND AREAS OF RESPONSIBILITY Develop, implement and adapt state-of-the-art and novel data science and machine learning techniques to problems faced by ARG's partners. Contribute to high-quality collaborative applied research as part of the ARG, helping translate complex user requirements into deployable solutions. Perform experiments and develop capabilities, which might include building and deploying machine learning models; applying data science, statistical and algorithmic techniques to data; building microservices, data processing/engineering systems and platforms or developing user interfaces and visualisations. Perform rigorous investigations into new algorithms and applications, providing consultancy to inform partners decisions and developing high-quality proof-of-concept outputs for real-world deployment. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This post is offered on a full-time fixed term basis until 30 April 2027. The annual salary is £42,593 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The role is based in London and will require some travel to partner-sites. Application procedure Please see our jobs portal for full details on how to apply and the interview process. We request specific information to be included when applying in the cover letter. Our portal goes through this in more detail so please take note of this when applying, or we may not be able to process your application. Closing date is Sunday 19 April at 23:59 (London, UK, BST). Equality Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed . We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
Apr 13, 2026
Full time
The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security (D&NS) theme at the Turing is looking to expand its Applied Research Group (ARG). As a team, ARG applies cutting edge research to real-world problems. Impact takes multiple forms: the fast development of a proof-of-concept to show what s possible; candid technical discussions to highlight what s not; and longer-term projects to deliver bespoke capabilities. Day-to-day, ARG collaborate closely with partners technical and subject-matter experts. The ARG is a cross-disciplinary team therefore able to respond to a wide variety of problem sets and encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. CANDIDATE PROFILE Please note that successful candidates will need to be eligible to undertake the DV clearance process once in-post and be willing to go through this process. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . In terms of the ideal candidate, we encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. You will have demonstrable experience in machine learning and be able to take initiative and carry out research independently. We are looking for candidates with experience in some of the following languages: Python, C, C++, Rust, Go. As well as the relevant technical experience successful candidates will have excellent written and verbal communications skills and the ability to clearly communicate complex or specialist information clearly and concisely. DUTIES AND AREAS OF RESPONSIBILITY Develop, implement and adapt state-of-the-art and novel data science and machine learning techniques to problems faced by ARG's partners. Contribute to high-quality collaborative applied research as part of the ARG, helping translate complex user requirements into deployable solutions. Perform experiments and develop capabilities, which might include building and deploying machine learning models; applying data science, statistical and algorithmic techniques to data; building microservices, data processing/engineering systems and platforms or developing user interfaces and visualisations. Perform rigorous investigations into new algorithms and applications, providing consultancy to inform partners decisions and developing high-quality proof-of-concept outputs for real-world deployment. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This post is offered on a full-time fixed term basis until 30 April 2027. The annual salary is £42,593 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The role is based in London and will require some travel to partner-sites. Application procedure Please see our jobs portal for full details on how to apply and the interview process. We request specific information to be included when applying in the cover letter. Our portal goes through this in more detail so please take note of this when applying, or we may not be able to process your application. Closing date is Sunday 19 April at 23:59 (London, UK, BST). Equality Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed . We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
Government Digital & Data
Agile Delivery Manager - Intellectual Property Office - SEO
Government Digital & Data Newport, Gwent
Location Newport NP10 8QQ About the job Job summary Agile Delivery Manager The IPO is an exciting modern organisation where technology is a key component of our services to operate and innovate effectively. We are currently delivering a major end to end digital transformation program bringing cutting-edge technologies into our estate whilst also maintaining our live services. As a proactive and experienced Delivery Manager aligned to one of our service squads, you will be responsible for ensuring effective delivery across your squad, including new and ongoing products and services, and their operational management. You will work closely with Product Managers and ensure planning, execution, tracking and reporting of priorities, while balancing Agile best practices with pragmatic delivery decisions. The service squad is a multi-disciplinary team, including Development Engineers, Test Engineers, Technical Architects, Product Managers, User Researchers, Business Analysts and Service Owners. The successful candidate will have a proven background in running functional Agile teams and be passionate about Agile delivery methodologies for converting extensive backlogs to production ready systems at pace. The role is critical in enabling the team to deliver high quality outcomes, efficiently and collaboratively, while aligning closely with wider programme objectives and timelines. You will be part of a wider Delivery Manager Community of Practice aimed at maintaining and enhancing standards of practice around Delivery Management across the DDaT Directorate. As such, you will play an integral role in not only the professional development of others in the Community of Practice but also for those that make up the service squads, by feeding into and influencing their own Communities of Practice, continually driving DDaT forward. You will have extensive experience and knowledge in delivery management, stakeholder management, Agile ways of working and their associated frameworks, such as SCRUM and Kanban. Working Style This role will be carried out in-line with IPO Hybrid working arrangements where staff are currently expected to spend at least 20% of their time working onsite from one of our offices. This role is based in our Newport Office . The requirement for attendance at an office location can vary by role so we would encourage candidates to discuss working arrangements with the recruiting manager to agree a reasonable balance between working from home and the office. Job description Main duties consist of but are not limited to: Facilitate Agile Ceremonies : stand-ups, planning, retrospectives, and reviews to maintain momentum and foster continuous improvement. Team Planning & Prioritisation : Support the team in estimating, tracking, and delivering priorities, ensuring alignment with business goals. Stakeholder Collaboration : Work closely with the Product Manager and technical stakeholders to understand priorities and dependencies. Workflow : Oversee the daily flow of work items, ensuring progression from backlog to delivery, using flow metrics where appropriate to enhance predictability and efficiency. Reporting & Insights : Track and report against key milestones and forecasts, providing clear visibility on team progress. Programme-Level Engagement : Represent the team in programme-level sessions, articulating updates, risks, and dependencies. Risk & Issue Management : Identify and address risks promptly, ensuring mitigation plans are in place. Incident Response : Act as a key escalation point during live incidents, helping to coordinate resolution and communication. Removing Blockers : Proactively address obstacles that hinder team performance and ensure a clear pathway for delivery. Continuous Improvement : Drive team maturity in agile delivery practices, fostering a culture of learning and adaptation. Cross-Team Dependencies : Understand and manage dependencies with other teams and workstreams across the programme. Ensure smooth integration and alignment of delivery plans. Person specification Evidence of communicating effectively across the wider organisation, understanding differing stakeholders for example technical/non-technical and political boundaries, understanding the context. Expertise in facilitating agile ceremonies and team collaboration. Ability to manage priorities, dependencies, and risks effectively. Extensive background in providing accurate, timely information on progress, resourcing, and impediments to allow informed decision making Experience using agile tools such as Azure DevOps, Actionable Agile or similar. Excellent stakeholder management and communication skills. Experience of leading technical delivery teams utilising automated delivery methodologies including automated development pipelines, automated testing, operations etc. Ability to Influence, both inside the Digital, Data and Technology department, and across the organisation. Familiarity with Kanban flow metrics and data-driven decision-making. Demonstrable experience producing high value Project Delivery MI A passion for continuous improvement and agile best practices. Product Manager/Product Owner experience to help understand the wider delivery direction Understanding of DSIT/CDDO digital and technology pipelines A relevant Scrum Master/Agile Project Manager qualification
Apr 13, 2026
Full time
Location Newport NP10 8QQ About the job Job summary Agile Delivery Manager The IPO is an exciting modern organisation where technology is a key component of our services to operate and innovate effectively. We are currently delivering a major end to end digital transformation program bringing cutting-edge technologies into our estate whilst also maintaining our live services. As a proactive and experienced Delivery Manager aligned to one of our service squads, you will be responsible for ensuring effective delivery across your squad, including new and ongoing products and services, and their operational management. You will work closely with Product Managers and ensure planning, execution, tracking and reporting of priorities, while balancing Agile best practices with pragmatic delivery decisions. The service squad is a multi-disciplinary team, including Development Engineers, Test Engineers, Technical Architects, Product Managers, User Researchers, Business Analysts and Service Owners. The successful candidate will have a proven background in running functional Agile teams and be passionate about Agile delivery methodologies for converting extensive backlogs to production ready systems at pace. The role is critical in enabling the team to deliver high quality outcomes, efficiently and collaboratively, while aligning closely with wider programme objectives and timelines. You will be part of a wider Delivery Manager Community of Practice aimed at maintaining and enhancing standards of practice around Delivery Management across the DDaT Directorate. As such, you will play an integral role in not only the professional development of others in the Community of Practice but also for those that make up the service squads, by feeding into and influencing their own Communities of Practice, continually driving DDaT forward. You will have extensive experience and knowledge in delivery management, stakeholder management, Agile ways of working and their associated frameworks, such as SCRUM and Kanban. Working Style This role will be carried out in-line with IPO Hybrid working arrangements where staff are currently expected to spend at least 20% of their time working onsite from one of our offices. This role is based in our Newport Office . The requirement for attendance at an office location can vary by role so we would encourage candidates to discuss working arrangements with the recruiting manager to agree a reasonable balance between working from home and the office. Job description Main duties consist of but are not limited to: Facilitate Agile Ceremonies : stand-ups, planning, retrospectives, and reviews to maintain momentum and foster continuous improvement. Team Planning & Prioritisation : Support the team in estimating, tracking, and delivering priorities, ensuring alignment with business goals. Stakeholder Collaboration : Work closely with the Product Manager and technical stakeholders to understand priorities and dependencies. Workflow : Oversee the daily flow of work items, ensuring progression from backlog to delivery, using flow metrics where appropriate to enhance predictability and efficiency. Reporting & Insights : Track and report against key milestones and forecasts, providing clear visibility on team progress. Programme-Level Engagement : Represent the team in programme-level sessions, articulating updates, risks, and dependencies. Risk & Issue Management : Identify and address risks promptly, ensuring mitigation plans are in place. Incident Response : Act as a key escalation point during live incidents, helping to coordinate resolution and communication. Removing Blockers : Proactively address obstacles that hinder team performance and ensure a clear pathway for delivery. Continuous Improvement : Drive team maturity in agile delivery practices, fostering a culture of learning and adaptation. Cross-Team Dependencies : Understand and manage dependencies with other teams and workstreams across the programme. Ensure smooth integration and alignment of delivery plans. Person specification Evidence of communicating effectively across the wider organisation, understanding differing stakeholders for example technical/non-technical and political boundaries, understanding the context. Expertise in facilitating agile ceremonies and team collaboration. Ability to manage priorities, dependencies, and risks effectively. Extensive background in providing accurate, timely information on progress, resourcing, and impediments to allow informed decision making Experience using agile tools such as Azure DevOps, Actionable Agile or similar. Excellent stakeholder management and communication skills. Experience of leading technical delivery teams utilising automated delivery methodologies including automated development pipelines, automated testing, operations etc. Ability to Influence, both inside the Digital, Data and Technology department, and across the organisation. Familiarity with Kanban flow metrics and data-driven decision-making. Demonstrable experience producing high value Project Delivery MI A passion for continuous improvement and agile best practices. Product Manager/Product Owner experience to help understand the wider delivery direction Understanding of DSIT/CDDO digital and technology pipelines A relevant Scrum Master/Agile Project Manager qualification
Control Systems Engineer
Johnson Matthey Plc Royston, Hertfordshire
Job title: Controls Systems Engineer Location: Royston, UK (site based) Working within the Engineering support Team and reporting to the Controls System Lead Engineer, the Software/Controls Engineer (SCE) is responsible for designing, installing, managing and/or maintaining equipment and software on PLC and SCADA systems, which are used to monitor and control the plant systems at Royston click apply for full job details
Apr 13, 2026
Full time
Job title: Controls Systems Engineer Location: Royston, UK (site based) Working within the Engineering support Team and reporting to the Controls System Lead Engineer, the Software/Controls Engineer (SCE) is responsible for designing, installing, managing and/or maintaining equipment and software on PLC and SCADA systems, which are used to monitor and control the plant systems at Royston click apply for full job details
AndersElite
Site Manager Highways
AndersElite Kettleholm, Dumfriesshire
Site Manager - Highways (Tarmacing/surfacing Focused) Location: Lockerbie Contract: 18 Months Rate: Up to £400 per day (Umbrella) + overtime, weekends & night shift enhancements We are seeking an experienced highways site Manager to support major highways maintenance projects, with a primary focus on supervising and managing tarmacing (surfacing) work packages. This role will centre on the coordination, delivery, and on-site supervision of asphalt/tarmacing operations, ensuring works are completed safely, efficiently, and in line with programme requirements. Key Responsibilities Lead the management and supervision of tarmacing and surfacing packages, ensuring quality, safety, and programme adherence Coordinate logistical operations across multiple maintenance schemes to maximise efficiency and performance Liaise with Autolink, subcontractors, and external stakeholders to support delivery of maintenance and upgrade works Oversee motorway maintenance activities including surfacing, bridge repairs, fencing, signage, and verge works Produce and implement Method Statements, Risk Assessments, and Inspection & Test Plans (ITPs) Review subcontractor documentation to ensure compliance with all relevant standards Conduct pre-start site reviews for all maintenance packages, with particular attention to surfacing works Ensure subcontractors meet all safety and competency requirements (CSCS, CPCS, medicals, etc.) Actively manage subcontractors, ensuring clear communication, meeting records, and action tracking Attend and contribute to start-up and progress meetings, maintaining full awareness of each package scope Liaise with key stakeholders including the Employer's Agent, statutory bodies, and emergency services Coordinate traffic management requirements with the Network Manager, particularly for surfacing operations Work closely with Works Managers, Quantity Surveyors, and office teams to ensure plant, labour, and materials are in place Ensure all documentation and reporting (e.g. lane occupation, safety records) are submitted accurately and on time Maintain high standards of health & safety, including COSHH and Permit to Work systems Ensure all works are properly supervised to protect operatives, road users, and the public Requirements Proven experience in highways maintenance or civil engineering projects Strong background in tarmacing/asphalt surfacing supervision (essential) Experience managing subcontractors and work packages on live highways Full UK driving licence CITB SMSTS First Aid CSCS Card Please contact Mark Warrington on (phone number removed) for more details
Apr 13, 2026
Contractor
Site Manager - Highways (Tarmacing/surfacing Focused) Location: Lockerbie Contract: 18 Months Rate: Up to £400 per day (Umbrella) + overtime, weekends & night shift enhancements We are seeking an experienced highways site Manager to support major highways maintenance projects, with a primary focus on supervising and managing tarmacing (surfacing) work packages. This role will centre on the coordination, delivery, and on-site supervision of asphalt/tarmacing operations, ensuring works are completed safely, efficiently, and in line with programme requirements. Key Responsibilities Lead the management and supervision of tarmacing and surfacing packages, ensuring quality, safety, and programme adherence Coordinate logistical operations across multiple maintenance schemes to maximise efficiency and performance Liaise with Autolink, subcontractors, and external stakeholders to support delivery of maintenance and upgrade works Oversee motorway maintenance activities including surfacing, bridge repairs, fencing, signage, and verge works Produce and implement Method Statements, Risk Assessments, and Inspection & Test Plans (ITPs) Review subcontractor documentation to ensure compliance with all relevant standards Conduct pre-start site reviews for all maintenance packages, with particular attention to surfacing works Ensure subcontractors meet all safety and competency requirements (CSCS, CPCS, medicals, etc.) Actively manage subcontractors, ensuring clear communication, meeting records, and action tracking Attend and contribute to start-up and progress meetings, maintaining full awareness of each package scope Liaise with key stakeholders including the Employer's Agent, statutory bodies, and emergency services Coordinate traffic management requirements with the Network Manager, particularly for surfacing operations Work closely with Works Managers, Quantity Surveyors, and office teams to ensure plant, labour, and materials are in place Ensure all documentation and reporting (e.g. lane occupation, safety records) are submitted accurately and on time Maintain high standards of health & safety, including COSHH and Permit to Work systems Ensure all works are properly supervised to protect operatives, road users, and the public Requirements Proven experience in highways maintenance or civil engineering projects Strong background in tarmacing/asphalt surfacing supervision (essential) Experience managing subcontractors and work packages on live highways Full UK driving licence CITB SMSTS First Aid CSCS Card Please contact Mark Warrington on (phone number removed) for more details
Sales Director, Europe
Roman Health Pharmacy LLC
At PPRO, our mission is to simplify access to local payment methods and our vision is to enable the sale of goods and services to anyone in the world using their preferred way to pay. We empower partners such as Ant Group, PayPal and Stripe to access new markets, connect with more customers, and accelerate their growth. Our strength lies in our diverse global team with 50+ nationalities and 10+ international locations- all united around one goal - to deliver the best possible products and services to our partners and customers. While our company mission is to keep innovating global commerce, our internal mission is to and . The Purpose: In this pivotal role, you'll be instrumental in shaping our sales strategy, empowering your team to exceed ambitious targets, and cultivating a collaborative and inclusive culture. You'll be responsible for coaching and mentoring a team of European Sales Managers, ensuring they have the skills, knowledge, and support to identify, prospect, and close new Payment Service Provider and Enterprise Merchant opportunities across Europe. This is a unique opportunity to make a significant impact on our global growth story, driving revenue and fostering a culture of urgency, accountability and continuous improvement. Your Impact in This Role: Lead the European New Business Enterprise Sales Team: Take the lead in the management of PPRO's largest Sales region, ensuring the continuous development of a team of high-performing Sales Managers across Europe. Provide ongoing coaching and mentorship to enhance their sales skills, product knowledge, and regional market expertise. Ensure continuous Sales Excellence: Ensuring ongoing comprehensive sales training programs tailored for global markets, focusing on all stages of the sales cycle, negotiation techniques, objection handling, and deep dives into our local payments solutions across various regions. Achieve and Exceed Global Revenue Targets: Take full accountability for team outcomes, setting clear expectations for pipeline generation, conversion rates, and revenue achievement across all global markets. Implement robust global sales methodologies and performance metrics to ensure consistent over-delivery. Foster a High-Performance & Inclusive Culture: Create a positive, inclusive, and collaborative team environment where diverse viewpoints are valued, challenges are embraced, and successes are celebrated across different cultures and time zones. Encourage initiative, ownership, and a strong sense of accountability. Optimise Global Sales Processes and Tools: Continuously assess and improve global sales processes, leveraging data and metrics to identify areas for enhancement. Ensure the team utilises CRM and other sales tools effectively to maximise productivity and reporting accuracy across all regions. Cross-Functional Collaboration: Collaborate extensively with Sales Engineering, Client Success, Marketing, and Product teams globally to ensure seamless client onboarding, effective customer training, and alignment with overall business objectives in each market. Risk Management & Continuous Improvement: Proactively seek opportunities to enhance risk management within global sales operations and champion a culture of continuous improvement, both within the team and across the broader organisation. Global Industry Expert & Thought Leader: Stay ahead of new market standards and trends within the fintech and local payments space across all global regions. Share insights with the team and leverage external networks to inform strategy and best practices. What Would Make You a Great Fit: Proven European Sales Leadership: A strong track record of successfully building, managing, and developing enterprise sales teams in a global capacity, ideally within the fintech, payments, or SaaS industry. Results-Driven & Target-Oriented: A clear history of consistently achieving and exceeding ambitious sales targets as both an individual contributor and a leader. Deep Global Payments Industry Knowledge: A comprehensive understanding of the payments ecosystem across Europe, APAC, and the Americas, particularly alternative and local payment methods, and their strategic importance to Payment Service Providers and enterprise merchants. Exceptional Coaching & Mentoring Skills: A genuine passion for developing people, providing clear, concise, and solution-focused feedback, and empowering team members to reach their full potential in a remote or hybrid global setting. Strategic & Analytical Acumen: Ability to apply a comprehensive understanding of global business models, align team efforts with long term company objectives, and leverage data and metrics to drive strategic decisions across multiple regions. Strong Communicator & Influencer: Excellent written and verbal communication skills, with the ability to tailor communication styles to engage diverse stakeholders, including C level executives and cross functional teams, across different cultures. Collaboration & Cross-Functional Impact: Proven ability to drive cross-functional improvement initiatives and build strong relationships with internal and external stakeholders across various time zones. Adaptability & Problem Sovling: Comfortable adapting prioritization and resources in response to changing global business needs and effectively resolving team conflicts. What's in it for you ? Hybrid working - We offer a hybrid structure with a 3 days / week on site expectation, so you can strike the balance between office and home working. In addition to our 28-day holiday allowance, we also provide a work from abroad policy, enabling employees to work remotely for up to another 30 days per year. Learning and Development - We offer a GBP 500 annual budget to support your professional growth-because investing in your development benefits us all. In addition, we provide leadership cafés, on the job training, and other opportunities to help you grow your skills and thrive in your role. Insurance - Because better safe than sorry - we want our employees to benefit from various insurances including a medical insurance (BUPA health care plan) and a 5% matching pension plan through Now Pensions. Enhance Family Leave - We understand the importance of family - that's why we offer enhanced family leave to support you during key life moments. Workplace Nursery Scheme - Save on childcare through salary exchange. Gym membership - PPRO helps contribute towards the costs of your gym membership, supporting your physical fitness journey while easing the burden on your wallet. Mental Health Platform - We've teamed up with a top well being platform to provide one on one therapy, chat therapy, therapist led courses, guided meditations, and more. Our HQ office - on Procter Street, is a short walk from Holborn, Farringdon and Covent Garden so if you're a foodie there's plenty nearby. The office is befitting a tech business and is set up for cross team collaboration. Pet-friendly office - Because work is better with your paw ntners by your side. Our Principles: We get things done: We are courageous; we take ownership, make decisions and get things done. We act with trust and integrity: We listen first and challenge respectfully. We seek out and leverage diverse perspectives. We welcome and offer honest and open feedback, always assuming positive intent We put the customer first: We are laser focused on delivering outstanding outcomes for our customers. We put the customer at the heart of what we do. We make things better: We boldly explore new ideas and have an unwavering commitment to continuous improvement. We work as a team: We collaborate closely and value team success over individual achievement.
Apr 13, 2026
Full time
At PPRO, our mission is to simplify access to local payment methods and our vision is to enable the sale of goods and services to anyone in the world using their preferred way to pay. We empower partners such as Ant Group, PayPal and Stripe to access new markets, connect with more customers, and accelerate their growth. Our strength lies in our diverse global team with 50+ nationalities and 10+ international locations- all united around one goal - to deliver the best possible products and services to our partners and customers. While our company mission is to keep innovating global commerce, our internal mission is to and . The Purpose: In this pivotal role, you'll be instrumental in shaping our sales strategy, empowering your team to exceed ambitious targets, and cultivating a collaborative and inclusive culture. You'll be responsible for coaching and mentoring a team of European Sales Managers, ensuring they have the skills, knowledge, and support to identify, prospect, and close new Payment Service Provider and Enterprise Merchant opportunities across Europe. This is a unique opportunity to make a significant impact on our global growth story, driving revenue and fostering a culture of urgency, accountability and continuous improvement. Your Impact in This Role: Lead the European New Business Enterprise Sales Team: Take the lead in the management of PPRO's largest Sales region, ensuring the continuous development of a team of high-performing Sales Managers across Europe. Provide ongoing coaching and mentorship to enhance their sales skills, product knowledge, and regional market expertise. Ensure continuous Sales Excellence: Ensuring ongoing comprehensive sales training programs tailored for global markets, focusing on all stages of the sales cycle, negotiation techniques, objection handling, and deep dives into our local payments solutions across various regions. Achieve and Exceed Global Revenue Targets: Take full accountability for team outcomes, setting clear expectations for pipeline generation, conversion rates, and revenue achievement across all global markets. Implement robust global sales methodologies and performance metrics to ensure consistent over-delivery. Foster a High-Performance & Inclusive Culture: Create a positive, inclusive, and collaborative team environment where diverse viewpoints are valued, challenges are embraced, and successes are celebrated across different cultures and time zones. Encourage initiative, ownership, and a strong sense of accountability. Optimise Global Sales Processes and Tools: Continuously assess and improve global sales processes, leveraging data and metrics to identify areas for enhancement. Ensure the team utilises CRM and other sales tools effectively to maximise productivity and reporting accuracy across all regions. Cross-Functional Collaboration: Collaborate extensively with Sales Engineering, Client Success, Marketing, and Product teams globally to ensure seamless client onboarding, effective customer training, and alignment with overall business objectives in each market. Risk Management & Continuous Improvement: Proactively seek opportunities to enhance risk management within global sales operations and champion a culture of continuous improvement, both within the team and across the broader organisation. Global Industry Expert & Thought Leader: Stay ahead of new market standards and trends within the fintech and local payments space across all global regions. Share insights with the team and leverage external networks to inform strategy and best practices. What Would Make You a Great Fit: Proven European Sales Leadership: A strong track record of successfully building, managing, and developing enterprise sales teams in a global capacity, ideally within the fintech, payments, or SaaS industry. Results-Driven & Target-Oriented: A clear history of consistently achieving and exceeding ambitious sales targets as both an individual contributor and a leader. Deep Global Payments Industry Knowledge: A comprehensive understanding of the payments ecosystem across Europe, APAC, and the Americas, particularly alternative and local payment methods, and their strategic importance to Payment Service Providers and enterprise merchants. Exceptional Coaching & Mentoring Skills: A genuine passion for developing people, providing clear, concise, and solution-focused feedback, and empowering team members to reach their full potential in a remote or hybrid global setting. Strategic & Analytical Acumen: Ability to apply a comprehensive understanding of global business models, align team efforts with long term company objectives, and leverage data and metrics to drive strategic decisions across multiple regions. Strong Communicator & Influencer: Excellent written and verbal communication skills, with the ability to tailor communication styles to engage diverse stakeholders, including C level executives and cross functional teams, across different cultures. Collaboration & Cross-Functional Impact: Proven ability to drive cross-functional improvement initiatives and build strong relationships with internal and external stakeholders across various time zones. Adaptability & Problem Sovling: Comfortable adapting prioritization and resources in response to changing global business needs and effectively resolving team conflicts. What's in it for you ? Hybrid working - We offer a hybrid structure with a 3 days / week on site expectation, so you can strike the balance between office and home working. In addition to our 28-day holiday allowance, we also provide a work from abroad policy, enabling employees to work remotely for up to another 30 days per year. Learning and Development - We offer a GBP 500 annual budget to support your professional growth-because investing in your development benefits us all. In addition, we provide leadership cafés, on the job training, and other opportunities to help you grow your skills and thrive in your role. Insurance - Because better safe than sorry - we want our employees to benefit from various insurances including a medical insurance (BUPA health care plan) and a 5% matching pension plan through Now Pensions. Enhance Family Leave - We understand the importance of family - that's why we offer enhanced family leave to support you during key life moments. Workplace Nursery Scheme - Save on childcare through salary exchange. Gym membership - PPRO helps contribute towards the costs of your gym membership, supporting your physical fitness journey while easing the burden on your wallet. Mental Health Platform - We've teamed up with a top well being platform to provide one on one therapy, chat therapy, therapist led courses, guided meditations, and more. Our HQ office - on Procter Street, is a short walk from Holborn, Farringdon and Covent Garden so if you're a foodie there's plenty nearby. The office is befitting a tech business and is set up for cross team collaboration. Pet-friendly office - Because work is better with your paw ntners by your side. Our Principles: We get things done: We are courageous; we take ownership, make decisions and get things done. We act with trust and integrity: We listen first and challenge respectfully. We seek out and leverage diverse perspectives. We welcome and offer honest and open feedback, always assuming positive intent We put the customer first: We are laser focused on delivering outstanding outcomes for our customers. We put the customer at the heart of what we do. We make things better: We boldly explore new ideas and have an unwavering commitment to continuous improvement. We work as a team: We collaborate closely and value team success over individual achievement.
Sky
Senior Machine Learning Engineer (Recommendation)
Sky Brent, London
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.
Apr 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Linear Recruitment Ltd
Earthworks Engineer
Linear Recruitment Ltd
Site Engineer (Earthworks & Land Surveying) Civil Engineering Contractor Durham Full-Time, Permanent £50k base + Car About The COmpany Our client are a well-established civil engineering contractor delivering high-quality infrastructure and groundworks projects across the region. With a strong reputation for safety, precision, and innovation, they are looking to expand their team with an experienced and motivated Site Engineer. The Role As a Site Engineer, you will play a key role in the successful delivery of earthworks and civil engineering projects. You will be responsible for setting out, surveying, and ensuring that works are completed in accordance with design specifications, quality standards, and health & safety requirements. Key Responsibilities Carry out accurate setting out for earthworks and associated civil engineering activities Perform topographical and as-built surveys using GPS, total station, and other surveying equipment Interpret engineering drawings and specifications to ensure precise execution of works Monitor and report on site progress, quality, and compliance with project requirements Collaborate with site management, subcontractors, and design teams Maintain accurate site records, including survey data and daily reports Ensure adherence to health, safety, and environmental regulations at all times Requirements Proven experience as a Site Engineer within civil engineering, with a strong focus on earthworks Solid background in land surveying and setting out Proficiency with surveying equipment (e.g. GPS, total stations) and relevant software Strong understanding of engineering drawings and construction methodologies Excellent attention to detail and problem-solving skills Ability to work independently and as part of a team Relevant qualification in Civil Engineering or a related field (HNC/HND/Degree) Valid CSCS card (or equivalent) Desirable Skills Experience working on large-scale infrastructure or groundworks projects Knowledge of machine control systems and digital engineering tools Familiarity with QA procedures and documentation What's On Offer Competitive salary and benefits package Opportunities for career progression and professional development Supportive and collaborative working environment Involvement in a diverse range of challenging projects Please send us your CV and we call you straight away.
Apr 13, 2026
Full time
Site Engineer (Earthworks & Land Surveying) Civil Engineering Contractor Durham Full-Time, Permanent £50k base + Car About The COmpany Our client are a well-established civil engineering contractor delivering high-quality infrastructure and groundworks projects across the region. With a strong reputation for safety, precision, and innovation, they are looking to expand their team with an experienced and motivated Site Engineer. The Role As a Site Engineer, you will play a key role in the successful delivery of earthworks and civil engineering projects. You will be responsible for setting out, surveying, and ensuring that works are completed in accordance with design specifications, quality standards, and health & safety requirements. Key Responsibilities Carry out accurate setting out for earthworks and associated civil engineering activities Perform topographical and as-built surveys using GPS, total station, and other surveying equipment Interpret engineering drawings and specifications to ensure precise execution of works Monitor and report on site progress, quality, and compliance with project requirements Collaborate with site management, subcontractors, and design teams Maintain accurate site records, including survey data and daily reports Ensure adherence to health, safety, and environmental regulations at all times Requirements Proven experience as a Site Engineer within civil engineering, with a strong focus on earthworks Solid background in land surveying and setting out Proficiency with surveying equipment (e.g. GPS, total stations) and relevant software Strong understanding of engineering drawings and construction methodologies Excellent attention to detail and problem-solving skills Ability to work independently and as part of a team Relevant qualification in Civil Engineering or a related field (HNC/HND/Degree) Valid CSCS card (or equivalent) Desirable Skills Experience working on large-scale infrastructure or groundworks projects Knowledge of machine control systems and digital engineering tools Familiarity with QA procedures and documentation What's On Offer Competitive salary and benefits package Opportunities for career progression and professional development Supportive and collaborative working environment Involvement in a diverse range of challenging projects Please send us your CV and we call you straight away.
Sky
Senior Machine Learning Engineer (Recommendation)
Sky Hammersmith And Fulham, London
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.
Apr 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Commercial Business Partner (Senior Quantity Surveyor)
Schindler Group
Location: London, England, United Kingdom Job ID: 86739 We Elevate Quality of urban life Our elevators, escalators, and moving walks safely transport more than twobillion of us up and down buildings and across transportation hubs every day. As part of the Schindler team, you'll discover meaningful work that enhancesquality of life for communities, and contribute to making places moreaccessible, inclusive, and sustainable for all. We combine innovation, safety, and high ethical standards, ensuring respectboth among colleagues and for the world around us. By joining us, you don'tjust become part of our success story; you help shape the future and continueour rich legacy that started back in 1874. Join us as a Commercial Business Partner (Senior Quantity Surveyor) We are currently recruiting for a Commercial Business Partner (Senior Quantity Surveyor), you'll play a vital role in our commercial team, supporting both new and existing installation operations. You'll help us achieve our financial goals by ensuring our projects and service contracts are delivered efficiently, profitably, and in line with our values. You'll be the commercial backbone of our project teams, managing contracts from the moment they're awarded. At Schindler, we shape the cities of tomorrow by moving people and ideas. Your main responsibilities Negotiating, executing, and managing customer and subcontractor contracts, ensuring all parties fulfil their obligations. Handling contract variations, claims, and disputes to protect Schindler's interests. Leading commercial negotiations and communications with customers and stakeholders throughout the project lifecycle. Managing contract changes and ensuring compliance with governance and best practices. Preparing, submitting, and agreeing on interim and final accounts, including subcontractor accounts, and ensuring timely cash collection. Collaborating with project and operations teams to optimise financial results, manage deliverables, control costs, and support value engineering. Monitoring, forecasting, and reporting project costs, ensuring alignment with budgets and identifying cost-saving opportunities. Identifying and monetising project variations, securing Schindler's financial and contractual position. Issuing contractual notices and maintaining accurate contract documentation. Identifying and mitigating risks related to costs, contracts, and procurement, and maintaining a commercial risk and opportunities register. Supporting the development and continuous improvement of commercial processes and systems. Liaising with supply chain and other departments to support project delivery and cost targets. Providing required data for audits and complying with company health and safety requirements. Ensuring that post-contract commercial activities focus on the delivery of Schindler overall strategy Business Partner who supports the business to drive current and future results sustainably and with high quality Challenge existing processes and drive initiatives to deliver a "continuous improvement" best practice and supportive environment Ensure clear levels of authority and consistent application of organisational standards across the business to support effective decision making and accountability. What you bring A proven track record of operational Quantity Surveying within the construction industry, managing multiple multi-million-pound projects and service contracts to successful completion. Strong technical expertise, educated to at least BSc or equivalent full technical standard in Quantity Surveying. A recognised qualification in Quantity Surveying (additional qualifications in Disputes Management would be beneficial). Demonstrated experience in estimating project costs and presenting high-quality tender documents to customers. Experience managing Health & Safety compliance, including CDM requirements. Preferably a minimum of 10 years' experience operating at a senior level within the commercial environment in the building construction and/or maintenance industry. Knowledge of key pre-construction procedures, such as procurement, planning, and contracts. Strong IT literacy, including full proficiency with the Microsoft Office suite. Excellent communication skills, both verbal and written, with the ability to engage and influence stakeholders at all levels. A proactive, detail-oriented approach and the ability to thrive in a fast-paced environment. What's in it for you? Competitive salary with a discretionary annual bonus Company car or allowance (for eligible roles) 25 days' holiday plus bank holidays, and an annual paid volunteering day Pension scheme with 6% company contribution Enhanced family leave Private medical cover with a trusted provider, plus 24/7 virtual GP access Employee Assistance Programme offering confidential support Free eye tests and eyewear discounts Access to a range of employee benefits, including Tech and Cycle to Work schemes, plus exclusive retailer discounts Become part of our team, help us enhance quality of life and drive innovationwhile raising the bar for safety and sustainability. We value your diverse skills andperspectives as together we shape the sustainable cities of today and tomorrow. Are you ready to embark on a new journey? Join ! Discover more on our career website. At Schindler Group we value inclusion and diversity, and practise equity to create equal opportunities for all. We endeavour that all qualified applicants will receive consideration for employment without regard to age, race, ethnic background, colour, religious affiliation, union affiliation, gender, gender identity, sexual orientation, marital status, national origin, nationality, genetics and health or disability. Any unsolicited application from Recruitment Agencies is deemed to be rejected and does not constitute in any manner an offer from a Recruitment Agency.
Apr 13, 2026
Full time
Location: London, England, United Kingdom Job ID: 86739 We Elevate Quality of urban life Our elevators, escalators, and moving walks safely transport more than twobillion of us up and down buildings and across transportation hubs every day. As part of the Schindler team, you'll discover meaningful work that enhancesquality of life for communities, and contribute to making places moreaccessible, inclusive, and sustainable for all. We combine innovation, safety, and high ethical standards, ensuring respectboth among colleagues and for the world around us. By joining us, you don'tjust become part of our success story; you help shape the future and continueour rich legacy that started back in 1874. Join us as a Commercial Business Partner (Senior Quantity Surveyor) We are currently recruiting for a Commercial Business Partner (Senior Quantity Surveyor), you'll play a vital role in our commercial team, supporting both new and existing installation operations. You'll help us achieve our financial goals by ensuring our projects and service contracts are delivered efficiently, profitably, and in line with our values. You'll be the commercial backbone of our project teams, managing contracts from the moment they're awarded. At Schindler, we shape the cities of tomorrow by moving people and ideas. Your main responsibilities Negotiating, executing, and managing customer and subcontractor contracts, ensuring all parties fulfil their obligations. Handling contract variations, claims, and disputes to protect Schindler's interests. Leading commercial negotiations and communications with customers and stakeholders throughout the project lifecycle. Managing contract changes and ensuring compliance with governance and best practices. Preparing, submitting, and agreeing on interim and final accounts, including subcontractor accounts, and ensuring timely cash collection. Collaborating with project and operations teams to optimise financial results, manage deliverables, control costs, and support value engineering. Monitoring, forecasting, and reporting project costs, ensuring alignment with budgets and identifying cost-saving opportunities. Identifying and monetising project variations, securing Schindler's financial and contractual position. Issuing contractual notices and maintaining accurate contract documentation. Identifying and mitigating risks related to costs, contracts, and procurement, and maintaining a commercial risk and opportunities register. Supporting the development and continuous improvement of commercial processes and systems. Liaising with supply chain and other departments to support project delivery and cost targets. Providing required data for audits and complying with company health and safety requirements. Ensuring that post-contract commercial activities focus on the delivery of Schindler overall strategy Business Partner who supports the business to drive current and future results sustainably and with high quality Challenge existing processes and drive initiatives to deliver a "continuous improvement" best practice and supportive environment Ensure clear levels of authority and consistent application of organisational standards across the business to support effective decision making and accountability. What you bring A proven track record of operational Quantity Surveying within the construction industry, managing multiple multi-million-pound projects and service contracts to successful completion. Strong technical expertise, educated to at least BSc or equivalent full technical standard in Quantity Surveying. A recognised qualification in Quantity Surveying (additional qualifications in Disputes Management would be beneficial). Demonstrated experience in estimating project costs and presenting high-quality tender documents to customers. Experience managing Health & Safety compliance, including CDM requirements. Preferably a minimum of 10 years' experience operating at a senior level within the commercial environment in the building construction and/or maintenance industry. Knowledge of key pre-construction procedures, such as procurement, planning, and contracts. Strong IT literacy, including full proficiency with the Microsoft Office suite. Excellent communication skills, both verbal and written, with the ability to engage and influence stakeholders at all levels. A proactive, detail-oriented approach and the ability to thrive in a fast-paced environment. What's in it for you? Competitive salary with a discretionary annual bonus Company car or allowance (for eligible roles) 25 days' holiday plus bank holidays, and an annual paid volunteering day Pension scheme with 6% company contribution Enhanced family leave Private medical cover with a trusted provider, plus 24/7 virtual GP access Employee Assistance Programme offering confidential support Free eye tests and eyewear discounts Access to a range of employee benefits, including Tech and Cycle to Work schemes, plus exclusive retailer discounts Become part of our team, help us enhance quality of life and drive innovationwhile raising the bar for safety and sustainability. We value your diverse skills andperspectives as together we shape the sustainable cities of today and tomorrow. Are you ready to embark on a new journey? Join ! Discover more on our career website. At Schindler Group we value inclusion and diversity, and practise equity to create equal opportunities for all. We endeavour that all qualified applicants will receive consideration for employment without regard to age, race, ethnic background, colour, religious affiliation, union affiliation, gender, gender identity, sexual orientation, marital status, national origin, nationality, genetics and health or disability. Any unsolicited application from Recruitment Agencies is deemed to be rejected and does not constitute in any manner an offer from a Recruitment Agency.

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