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 06, 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.
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 06, 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.
At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team The Senior Technology & Cyber Risk Consultant is responsible for executing and supporting activities that help identify, analyse, manage, challenge, aggregate, and report on risks across the organization. This role involves performing comprehensive control design assessments and operating effectiveness testing across technology and cybersecurity domains. The role ensures that the controls are appropriately designed, implemented correctly, and functioning effectively in alignment with NIST 800-53, NIST CSF, COBIT, and internal standards. This position requires solid technical acumen, deep understanding of technology and cyber control environments, and strong analytical capabilities. The ideal candidate is a self-starter, proactive problem solver, and someone able to work with minimal guidance while bringing forward new ideas, improvements, and opportunities to leverage AI and automation. Key responsibilities Execute assessments of technology and cybersecurity controls, evaluating both control design and operating effectiveness. Conduct evidence collection, walkthroughs, sampling, and reperformance activities to verify control behaviour. Identify control deficiencies, design weaknesses, operational gaps, and process improvement opportunities. Perform risk assessments across technology to identify emerging threats and evaluate the adequacy of control coverage. Analyse structured and unstructured data to assess risk trends, detect weaknesses, and support decision making. Support cyber resilience validation activities, including incident response, disaster recovery, and ransomware readiness. Communicate findings and collaborate with technology, engineering, and cybersecurity teams to support remediation and strengthen control posture. Prepare and help deliver simple risk reports for senior leadership, ensuring they are aware of key risks. Assist in enhancing methodologies, testing templates, control procedures, and documentation standards. Stay informed on evolving NIST 800-53 guidance, cyber regulations, technology risk practices, and emerging threat landscapes. Identify opportunities to apply AI tools to streamline testing, evidence analysis, reporting, and continuous control monitoring. Recommend automation and scripting improvements to enhance testing quality, repeatability, and efficiency. Contribute to control standards, policy improvements, and control rationalization efforts. Essential Skills All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy. Minimum of 3 years' experience performing IT control design and operating effectiveness testing across technology or cybersecurity domains. Demonstrated experience applying NIST 800-53, NIST CSF, or COBIT within risk, audit, or control assessments. Experience conducting walkthroughs, evidence collection, sampling, and reperformance, with documented findings and remediation tracking. Experience producing clear, structured risk or control reports and communicating results to technical and non technical stakeholders. Desirable Skills Proficiency with Excel (advanced), Power BI, or data analysis methods to identify risk trends. Exposure to Python, PowerShell, or automation/AI tools to streamline testing or evidence analysis. Hands on experience with GRC platforms such as ServiceNow GRC, Archer, OneTrust, or LogicGate. Relevant certifications such as CRISC, CISA, Security+, ISO 27001 Lead Implementer/Auditor, CCSK/CCSP, or similar. Supervisory Responsibilities This job does not have supervisory duties. Skills Control Assessment, Cybersecurity Controls, Problem Solving, Process Improvements, Reporting Why join us? Allstate NI is proud to be Allstate's European Digital Centre of Excellence-recent winners of 'Best Use of Cloud Services' at the Belfast Telegraph IT Awards 2024, and recognised for our community and sustainability impact at the 2024 Business in the Community Awards and Gold accreditation for Environmental Responsibility. We're a product driven, cloud first organisation delivering real outcomes through modern technology, a digital product centric talent model, and a culture rooted in engineering excellence. Our teams work in cross functional structures, guided by an outcome based delivery approach that accelerates speed, agility, and value. We offer: A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts. Access to world class learning platforms and award winning L&D. Clear career paths, internal mobility, and a strong focus on growth. A people first culture with flexible working options. Be part of a high performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way. Statement on Fair Employment and Equal Opportunities Allstate NI wishes to ensure equal opportunity is given to all job applicants. This company will not discriminate on the grounds of race, gender (including gender reassignment status), sexual orientation, religious belief, political opinion, marital status, age or disability. We are an equal opportunities employer. We welcome applications from all suitably qualified persons. However, as women are currently under represented in our workforce, we would particularly welcome applications from women. All appointments will be made on merit. Applicants should note Allstate NI complete AccessNI background checks on all candidates offered a position.
Apr 06, 2026
Full time
At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team The Senior Technology & Cyber Risk Consultant is responsible for executing and supporting activities that help identify, analyse, manage, challenge, aggregate, and report on risks across the organization. This role involves performing comprehensive control design assessments and operating effectiveness testing across technology and cybersecurity domains. The role ensures that the controls are appropriately designed, implemented correctly, and functioning effectively in alignment with NIST 800-53, NIST CSF, COBIT, and internal standards. This position requires solid technical acumen, deep understanding of technology and cyber control environments, and strong analytical capabilities. The ideal candidate is a self-starter, proactive problem solver, and someone able to work with minimal guidance while bringing forward new ideas, improvements, and opportunities to leverage AI and automation. Key responsibilities Execute assessments of technology and cybersecurity controls, evaluating both control design and operating effectiveness. Conduct evidence collection, walkthroughs, sampling, and reperformance activities to verify control behaviour. Identify control deficiencies, design weaknesses, operational gaps, and process improvement opportunities. Perform risk assessments across technology to identify emerging threats and evaluate the adequacy of control coverage. Analyse structured and unstructured data to assess risk trends, detect weaknesses, and support decision making. Support cyber resilience validation activities, including incident response, disaster recovery, and ransomware readiness. Communicate findings and collaborate with technology, engineering, and cybersecurity teams to support remediation and strengthen control posture. Prepare and help deliver simple risk reports for senior leadership, ensuring they are aware of key risks. Assist in enhancing methodologies, testing templates, control procedures, and documentation standards. Stay informed on evolving NIST 800-53 guidance, cyber regulations, technology risk practices, and emerging threat landscapes. Identify opportunities to apply AI tools to streamline testing, evidence analysis, reporting, and continuous control monitoring. Recommend automation and scripting improvements to enhance testing quality, repeatability, and efficiency. Contribute to control standards, policy improvements, and control rationalization efforts. Essential Skills All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy. Minimum of 3 years' experience performing IT control design and operating effectiveness testing across technology or cybersecurity domains. Demonstrated experience applying NIST 800-53, NIST CSF, or COBIT within risk, audit, or control assessments. Experience conducting walkthroughs, evidence collection, sampling, and reperformance, with documented findings and remediation tracking. Experience producing clear, structured risk or control reports and communicating results to technical and non technical stakeholders. Desirable Skills Proficiency with Excel (advanced), Power BI, or data analysis methods to identify risk trends. Exposure to Python, PowerShell, or automation/AI tools to streamline testing or evidence analysis. Hands on experience with GRC platforms such as ServiceNow GRC, Archer, OneTrust, or LogicGate. Relevant certifications such as CRISC, CISA, Security+, ISO 27001 Lead Implementer/Auditor, CCSK/CCSP, or similar. Supervisory Responsibilities This job does not have supervisory duties. Skills Control Assessment, Cybersecurity Controls, Problem Solving, Process Improvements, Reporting Why join us? Allstate NI is proud to be Allstate's European Digital Centre of Excellence-recent winners of 'Best Use of Cloud Services' at the Belfast Telegraph IT Awards 2024, and recognised for our community and sustainability impact at the 2024 Business in the Community Awards and Gold accreditation for Environmental Responsibility. We're a product driven, cloud first organisation delivering real outcomes through modern technology, a digital product centric talent model, and a culture rooted in engineering excellence. Our teams work in cross functional structures, guided by an outcome based delivery approach that accelerates speed, agility, and value. We offer: A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts. Access to world class learning platforms and award winning L&D. Clear career paths, internal mobility, and a strong focus on growth. A people first culture with flexible working options. Be part of a high performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way. Statement on Fair Employment and Equal Opportunities Allstate NI wishes to ensure equal opportunity is given to all job applicants. This company will not discriminate on the grounds of race, gender (including gender reassignment status), sexual orientation, religious belief, political opinion, marital status, age or disability. We are an equal opportunities employer. We welcome applications from all suitably qualified persons. However, as women are currently under represented in our workforce, we would particularly welcome applications from women. All appointments will be made on merit. Applicants should note Allstate NI complete AccessNI background checks on all candidates offered a position.
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 06, 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.
Vertice was launched in 2022 to transform how companies manage their technology spend. Our agentic workflows, AI insights and expert buyers empower companies to buy smarter and scale faster, with Finance and Procurement leaders in over 30 countries worldwide trusting Vertice to manage their software purchases. In the software category alone, we have managed over $10bn in spend and have a track record of delivering 20% savings and halving procurement cycles. Headquartered in London with offices across the world including New York, Brno, Sydney and Johannesburg, we're shaping the future of procurement on a global scale. And we're just getting started. Founded by serial entrepreneurs Roy Tuvey and Eldar Tuvey, who have a track record of building two category-defining technology companies to exit, Vertice has seen a remarkable 13X revenue growth in two years. This trajectory earned us the spot on the Sunday Times' 2026 Tech 100 list, following our recognition as 2025's fastest-growing startup in the UK by the FT's Sifted, and as fourth in Europe. Following our Series C, we have secured $100M+ in funding from leading investors including Bessemer Venture Partners, 83North and Lakestar, and are expanding our reach across our team. Do you want to make an outsized impact, work with exceptional people, and be part of a highly motivated team? Come and join our mission to build the Intelligent Procurement Platform. Your Role You will be a cornerstone of our EMEA growth engine, here to architect and scale a world-class outbound function. You will lead a high-impact team of Business Development Representatives (BDRs), acting as both a strategic mentor and a tactical execution expert, as well as driving continous improvements across the function. We are looking for a rare breed: someone with the commercial grit to hunt, the analytical mind to optimize conversion funnels, and the leadership presence to inspire a team of ambitious builders. We value trajectory over tenure. We care about your drive, your standards, and your ability to win. Responsibilities Team Leadership & Coaching: Manage, recruit, and develop a team of BDRs. You'll be in the trenches with them-conducting live call coaching, sharpening email copy, and mastering the art of the "hook." Outbound Strategy: Design and execute multi-channel outbound plays across the EMEA region. You will identify high-value segments and ensure our messaging cuts through the noise. Pipeline Governance: Own the numbers. You'll monitor the health of the lead-to-opportunity funnel, ensuring high volume doesn't come at the expense of quality. The "Feedback Loop": Act as the strategic bridge between Marketing and Sales. You'll provide real-time market feedback on what messaging is landing and where we need to pivot. Operational Excellence: Build and refine the "BDR Playbook." From tech-stack optimization to compensation structures, you will constantly look for ways to make the team more efficient every week. Performance Accountability: Set a high bar. You will manage quotas, track KPIs, and hold the team accountable to "Vertice-level" standards of excellence. Requirements Proven Track Record: Ideally, you have experience in a high-growth SaaS environment in a sales leadership capacity. You have a history of over-performing against aggressive targets. Strategic & Analytical: You don't just "send more emails." You analyze open rates, meeting quality and conversion cohorts to decide where the team should spend their time. High Emotional Intelligence: You can motivate a team through the inevitable highs and lows of outbound sales. You know when to push and when to support. Exceptional Communication: You are a master of brevity. You can write a cold email that actually gets a response and teach others to do the same. Resilience & Character: You have a "founder's mindset." You are comfortable with ambiguity, move at an incredible pace, and possess the backbone to challenge the status quo. Detail-Oriented: You care about CRM hygiene and the small tweaks in a sequence that double its effectiveness. Final things to note: Vertice is an equal opportunities employer, although you must be legally able to work in the specified region of the job, and any data you provide us will be stored and disseminated in accordance with Vertice's privacy policy. We like to deal directly with our candidates so no agencies please! If you aren't sure this job applies to you, feel free to send your CV to , and we'll be happy to take a look and see if you could be a good fit anywhere else in our business!
Apr 06, 2026
Full time
Vertice was launched in 2022 to transform how companies manage their technology spend. Our agentic workflows, AI insights and expert buyers empower companies to buy smarter and scale faster, with Finance and Procurement leaders in over 30 countries worldwide trusting Vertice to manage their software purchases. In the software category alone, we have managed over $10bn in spend and have a track record of delivering 20% savings and halving procurement cycles. Headquartered in London with offices across the world including New York, Brno, Sydney and Johannesburg, we're shaping the future of procurement on a global scale. And we're just getting started. Founded by serial entrepreneurs Roy Tuvey and Eldar Tuvey, who have a track record of building two category-defining technology companies to exit, Vertice has seen a remarkable 13X revenue growth in two years. This trajectory earned us the spot on the Sunday Times' 2026 Tech 100 list, following our recognition as 2025's fastest-growing startup in the UK by the FT's Sifted, and as fourth in Europe. Following our Series C, we have secured $100M+ in funding from leading investors including Bessemer Venture Partners, 83North and Lakestar, and are expanding our reach across our team. Do you want to make an outsized impact, work with exceptional people, and be part of a highly motivated team? Come and join our mission to build the Intelligent Procurement Platform. Your Role You will be a cornerstone of our EMEA growth engine, here to architect and scale a world-class outbound function. You will lead a high-impact team of Business Development Representatives (BDRs), acting as both a strategic mentor and a tactical execution expert, as well as driving continous improvements across the function. We are looking for a rare breed: someone with the commercial grit to hunt, the analytical mind to optimize conversion funnels, and the leadership presence to inspire a team of ambitious builders. We value trajectory over tenure. We care about your drive, your standards, and your ability to win. Responsibilities Team Leadership & Coaching: Manage, recruit, and develop a team of BDRs. You'll be in the trenches with them-conducting live call coaching, sharpening email copy, and mastering the art of the "hook." Outbound Strategy: Design and execute multi-channel outbound plays across the EMEA region. You will identify high-value segments and ensure our messaging cuts through the noise. Pipeline Governance: Own the numbers. You'll monitor the health of the lead-to-opportunity funnel, ensuring high volume doesn't come at the expense of quality. The "Feedback Loop": Act as the strategic bridge between Marketing and Sales. You'll provide real-time market feedback on what messaging is landing and where we need to pivot. Operational Excellence: Build and refine the "BDR Playbook." From tech-stack optimization to compensation structures, you will constantly look for ways to make the team more efficient every week. Performance Accountability: Set a high bar. You will manage quotas, track KPIs, and hold the team accountable to "Vertice-level" standards of excellence. Requirements Proven Track Record: Ideally, you have experience in a high-growth SaaS environment in a sales leadership capacity. You have a history of over-performing against aggressive targets. Strategic & Analytical: You don't just "send more emails." You analyze open rates, meeting quality and conversion cohorts to decide where the team should spend their time. High Emotional Intelligence: You can motivate a team through the inevitable highs and lows of outbound sales. You know when to push and when to support. Exceptional Communication: You are a master of brevity. You can write a cold email that actually gets a response and teach others to do the same. Resilience & Character: You have a "founder's mindset." You are comfortable with ambiguity, move at an incredible pace, and possess the backbone to challenge the status quo. Detail-Oriented: You care about CRM hygiene and the small tweaks in a sequence that double its effectiveness. Final things to note: Vertice is an equal opportunities employer, although you must be legally able to work in the specified region of the job, and any data you provide us will be stored and disseminated in accordance with Vertice's privacy policy. We like to deal directly with our candidates so no agencies please! If you aren't sure this job applies to you, feel free to send your CV to , and we'll be happy to take a look and see if you could be a good fit anywhere else in our business!
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 06, 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.
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 06, 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.
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 06, 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.
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 06, 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.
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 06, 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.
Salary: £27,000 - £40,000 per annum based on experience) £50,000 - £65,000+ (uncapped commission) Role Type: Full-Time Location: North Shields - Hybrid Reporting To: Sales Director & General Manager A full clean UK driving licence is essential. About Geowarmth Geowarmth is a multi-award-winning installer of carbon-neutral home energy solutions. With over 20 years of expertise, we deliver premium installations of heat pumps, solar panels, EV chargers, and underfloor heating. Our experienced team is trusted to carry out complex installations at prestigious locations, including World Heritage Sites. In 2024, we joined the Hometree Group-one of the UK's fastest-growing home energy services companies. This partnership has expanded our offering to include servicing, maintenance, and financing-supporting homeowners throughout their transition to low-carbon living. Now is a transformative time to join our business. If you're passionate about sustainability and driven by sales success, you'll thrive in this mission-led environment. You must have a full clean UK driving licence for this role. The company covers all fuel and mileage expenses for site visits. The Role We're looking for someone ambitious who can lead the charge, shaping our solar sales strategy, proving the concept, and becoming our in-house expert for all things solar PV and battery. This role offers the rare chance to directly influence the success and growth of our solar division from the ground up, within the stability of an established renewable energy business. The Solar Sales Consultant will deliver residential and commercial solar PV and battery sales by guiding customers from initial enquiry through to contract agreement. This role involves responding to customer enquiries, designing bespoke solar PV systems, and preparing detailed technical and financial proposals. The consultant engages directly with customers through in-person site visits, ensuring a professional and customer-focused experience that drives the growth of Geowarmth's solar sales operations. Responsibilities: Sales & Lead Management: Follow up on leads, identify upsell opportunities, negotiate contracts, close sales, and support the Sales Manager in achieving targets. Technical Sales & System Design: Analyse survey data, design tailored solar PV systems, and clearly present solutions including ROI, energy savings, and carbon reduction. Presales Design: Meet with the customer, present the design and quotation for review and approval. Collaboration & Coordination: Work closely with surveyors, designers, and project managers to ensure smooth project delivery. Reporting & Industry Insight: Prepare sales forecasts, stay up to date with industry developments, and represent the company at relevant events and exhibitions. Solution Presentation: Present clear information on energy savings, Return on Investment (ROI), and carbon reduction benefits. Industry Knowledge: Keep up to date with solar technology developments, government incentives, and regulations. Company Representation: Represent the company at events, exhibitions, and community sessions as required. What we're looking for: Sales Experience: At least 2+ years of proven sales experience, preferably within solar or renewable energy industries. Technical Knowledge: Good understanding of solar PV systems and use of solar design software. IT Skills: Strong IT skills, including experience managing CRM systems and other business IT platforms. System Design Skills: Skilled in system design and interpreting survey data. Communication: Excellent communication and interpersonal skills. Technical Explanation: Ability to explain technical concepts clearly to customers. Organisation: Highly organised with strong multitasking abilities. Motivation: Self motivated and target driven. Teamwork: Comfortable working independently and in a team. Continuous Learning: Commitment to continuous learning and development. Professionalism: Customer focused and professional. Extra credit: Experience with platforms such as , Open Solar , Spruce , and simPRO . Our Recruitment Process: Initial Call: Start with an introductory call with our Junior Talent Acquisition Specialist to discuss the role and your potential fit. (30 mins) Skills Based Interview: Engage in a detailed discussion about your past experiences with our Head of Sales (1 hr) Final Interview: Final interview with IMS Sales Director (1 hr) Perks & Benefits 25 days holiday + bank holidays Extra day off for your birthday Long service leave milestones 10 days sick pay (following qualifying period) Continuous learning & development Company socials and team events Strong focus on work life balance 0% Tools Loans EV Salary Sacrifice Scheme Bonus Scheme Van and Uniform provided Company Mobile Phone Subject to T&Cs About Hometree Join Hometree Group and be at the forefront of transforming the residential energy landscape. Founded in 2015, Hometree began its journey in the home cover market. Today, We are spearheading the shift towards a future where home energy systems are decentralised, digitised, and reliant on renewable sources such as heat pumps, solar panels, batteries, EV chargers, and smart controls. This innovative approach is not just about sustainability; it's about empowering homeowners to manage their energy more efficiently and cost effectively, thereby setting new standards in energy consumption. We operate across three dynamic divisions: Financial Services: Here, you'll contribute to offering flexible financing options, that make it feasible for homeowners to embrace renewable energy technologies and make essential upgrades. Energy Services: Be part of our extensive network of local installation businesses that equip homeowners with the cutting edge, sustainable energy solutions necessary for reaching net zero emissions. Home Services: Help maintain the comfort and functionality of homes with comprehensive coverage plans that protect the essential hardware in the home. At Hometree Group, we are committed to guiding UK homeowners on their journey towards more sustainable energy solutions, and we need passionate individuals to support them at every step. Join us during this exciting time, and play a pivotal role in a business that supports sustainable homeownership in alignment with their readiness and needs. Key Achievements £85m+ Capital Raised - We've raised over £85m to date from leading global investors including Legal & General Capital and specialist energy VCs 5 Acquisitions - We've expanded our operations by acquiring four key companies across financing (Hometree Finance - formerly Bewarm), home cover (Your Repair) and energy services (Geowarmth, The Little Green Energy Company, IMS and GreenGen). 100k Homes Covered - We cover over one hundred thousand homes across the UK 280+ Employees - We have over 280 passionate employees transforming the industry across the Group, one home at a time Equal Opportunity Employer At Geowarmth, we are committed to creating an inclusive and representative environment. We know that different experiences, perspectives and backgrounds make for a better workplace and a better planet. Together, we celebrate differences and promote a culture where you can bring your full self to work. We promise to give you the same opportunities as everyone else and we won't discriminate against you at any point in the hiring process or the working day. This includes how we source talent, our interview process, our conditions of employment, feedback and everything in between.
Apr 06, 2026
Full time
Salary: £27,000 - £40,000 per annum based on experience) £50,000 - £65,000+ (uncapped commission) Role Type: Full-Time Location: North Shields - Hybrid Reporting To: Sales Director & General Manager A full clean UK driving licence is essential. About Geowarmth Geowarmth is a multi-award-winning installer of carbon-neutral home energy solutions. With over 20 years of expertise, we deliver premium installations of heat pumps, solar panels, EV chargers, and underfloor heating. Our experienced team is trusted to carry out complex installations at prestigious locations, including World Heritage Sites. In 2024, we joined the Hometree Group-one of the UK's fastest-growing home energy services companies. This partnership has expanded our offering to include servicing, maintenance, and financing-supporting homeowners throughout their transition to low-carbon living. Now is a transformative time to join our business. If you're passionate about sustainability and driven by sales success, you'll thrive in this mission-led environment. You must have a full clean UK driving licence for this role. The company covers all fuel and mileage expenses for site visits. The Role We're looking for someone ambitious who can lead the charge, shaping our solar sales strategy, proving the concept, and becoming our in-house expert for all things solar PV and battery. This role offers the rare chance to directly influence the success and growth of our solar division from the ground up, within the stability of an established renewable energy business. The Solar Sales Consultant will deliver residential and commercial solar PV and battery sales by guiding customers from initial enquiry through to contract agreement. This role involves responding to customer enquiries, designing bespoke solar PV systems, and preparing detailed technical and financial proposals. The consultant engages directly with customers through in-person site visits, ensuring a professional and customer-focused experience that drives the growth of Geowarmth's solar sales operations. Responsibilities: Sales & Lead Management: Follow up on leads, identify upsell opportunities, negotiate contracts, close sales, and support the Sales Manager in achieving targets. Technical Sales & System Design: Analyse survey data, design tailored solar PV systems, and clearly present solutions including ROI, energy savings, and carbon reduction. Presales Design: Meet with the customer, present the design and quotation for review and approval. Collaboration & Coordination: Work closely with surveyors, designers, and project managers to ensure smooth project delivery. Reporting & Industry Insight: Prepare sales forecasts, stay up to date with industry developments, and represent the company at relevant events and exhibitions. Solution Presentation: Present clear information on energy savings, Return on Investment (ROI), and carbon reduction benefits. Industry Knowledge: Keep up to date with solar technology developments, government incentives, and regulations. Company Representation: Represent the company at events, exhibitions, and community sessions as required. What we're looking for: Sales Experience: At least 2+ years of proven sales experience, preferably within solar or renewable energy industries. Technical Knowledge: Good understanding of solar PV systems and use of solar design software. IT Skills: Strong IT skills, including experience managing CRM systems and other business IT platforms. System Design Skills: Skilled in system design and interpreting survey data. Communication: Excellent communication and interpersonal skills. Technical Explanation: Ability to explain technical concepts clearly to customers. Organisation: Highly organised with strong multitasking abilities. Motivation: Self motivated and target driven. Teamwork: Comfortable working independently and in a team. Continuous Learning: Commitment to continuous learning and development. Professionalism: Customer focused and professional. Extra credit: Experience with platforms such as , Open Solar , Spruce , and simPRO . Our Recruitment Process: Initial Call: Start with an introductory call with our Junior Talent Acquisition Specialist to discuss the role and your potential fit. (30 mins) Skills Based Interview: Engage in a detailed discussion about your past experiences with our Head of Sales (1 hr) Final Interview: Final interview with IMS Sales Director (1 hr) Perks & Benefits 25 days holiday + bank holidays Extra day off for your birthday Long service leave milestones 10 days sick pay (following qualifying period) Continuous learning & development Company socials and team events Strong focus on work life balance 0% Tools Loans EV Salary Sacrifice Scheme Bonus Scheme Van and Uniform provided Company Mobile Phone Subject to T&Cs About Hometree Join Hometree Group and be at the forefront of transforming the residential energy landscape. Founded in 2015, Hometree began its journey in the home cover market. Today, We are spearheading the shift towards a future where home energy systems are decentralised, digitised, and reliant on renewable sources such as heat pumps, solar panels, batteries, EV chargers, and smart controls. This innovative approach is not just about sustainability; it's about empowering homeowners to manage their energy more efficiently and cost effectively, thereby setting new standards in energy consumption. We operate across three dynamic divisions: Financial Services: Here, you'll contribute to offering flexible financing options, that make it feasible for homeowners to embrace renewable energy technologies and make essential upgrades. Energy Services: Be part of our extensive network of local installation businesses that equip homeowners with the cutting edge, sustainable energy solutions necessary for reaching net zero emissions. Home Services: Help maintain the comfort and functionality of homes with comprehensive coverage plans that protect the essential hardware in the home. At Hometree Group, we are committed to guiding UK homeowners on their journey towards more sustainable energy solutions, and we need passionate individuals to support them at every step. Join us during this exciting time, and play a pivotal role in a business that supports sustainable homeownership in alignment with their readiness and needs. Key Achievements £85m+ Capital Raised - We've raised over £85m to date from leading global investors including Legal & General Capital and specialist energy VCs 5 Acquisitions - We've expanded our operations by acquiring four key companies across financing (Hometree Finance - formerly Bewarm), home cover (Your Repair) and energy services (Geowarmth, The Little Green Energy Company, IMS and GreenGen). 100k Homes Covered - We cover over one hundred thousand homes across the UK 280+ Employees - We have over 280 passionate employees transforming the industry across the Group, one home at a time Equal Opportunity Employer At Geowarmth, we are committed to creating an inclusive and representative environment. We know that different experiences, perspectives and backgrounds make for a better workplace and a better planet. Together, we celebrate differences and promote a culture where you can bring your full self to work. We promise to give you the same opportunities as everyone else and we won't discriminate against you at any point in the hiring process or the working day. This includes how we source talent, our interview process, our conditions of employment, feedback and everything in between.
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 06, 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.
Operations Senior Engineer - Systems, EMEA London, England, United Kingdom About Yondr Yondr is a disruptor. We challenge convention and simplify complexity. A global developer, owner operator and service provider of data centers, we deliver complex data center capacity needs for the world's largest tech companies. Our exponential growth sees us looking for extraordinary people to help accelerate us towards our vision: a tomorrow without constraints. But we can't do this without you. Job purpose Yondr is revolutionising the real estate and technology industries. We provide wholly outsourced, end-to-end solutions to meet the capacity and property needs of growing businesses. In the process, we improve business performance, create enriching user experiences, and meet tomorrow's needs today. But we can't do it without you. We believe in a tomorrow without constraints and making the impossible possible for our clients. Thinking out of the box and not settling for less, is crucial. All interested parties, regardless of nationality, race, ethnicity, religion, age, sexual orientation, or gender, are welcome to apply and will be considered equally. Diversity is one of Yondr's core values, and we want to enhance the diversity of our workforce to reflect the world we live in. About the Role As the Operations Senior Engineer - Systems, you are responsible for the monitoring and control systems for the critical mechanical and electrical assets within our regional data centers-including the building management system (BMS) and the electrical power monitoring system (EPMS). The Operations Senior Engineer - Systems is responsible for the optimal monitoring and control availability of the mechanical and electrical assets throughout their lifecycle, taking into consideration health, safety, environment, costs, investments, and customer requirements. Main Responsibilities This position will have overall responsibility for all mechanical controls and electrical systems monitoring aspects of our regional data centers. Responsibilities shall include, but not be limited to, planned and corrective maintenance, technical documentation, review of proposed operational procedures, initial analysis of in-service failures, associated project work, and overall systems health. The Operations Senior Engineer - Systems will have experience and formal training in industry-standard systems (e.g., Delta Controls, Trend, Johnson Controls, Siemens WinPM, Schneider EcoStruxure/ION Enterprise) as well as working knowledge of HVAC plants and electrical distribution systems and components. The role is also responsible for leading small to medium-scale projects and the rollout of engineering initiatives. Interacts with internal and external teams, including design and construction management of new facilities and Yondr facility management and operations. Ensure optimal availability of critical mechanical and electrical control and monitoring Work with site operational and technical teams, original equipment manufacturers (OEMs), and Facility Management partners to ensure optimal availability of critical mechanical and electrical control and monitoring systems. Ensure management and adherence to all customer service level agreements (SLAs). Understand the client SLAs and create all required reports detailing systems performance, activities and issues that have taken place that require reporting and Create and run trending and diagnostics on the BMS and EPMS systems and notify operations personnel of any abnormalities. Work closely with the OEMs to achieve stable and reliable monitoring and control Schedule and supervise required maintenance for BMS and Develop new interfaces (graphics) on request of the Data Center Operations and facility management (FM) teams. Train and assist internal customers and stakeholders with the creation, design, configuration, validation, installation, commissioning, and operation of BMS and EPMS systems. Data bus knowledge (e.g., Modbus, Bacnet) are an A strong understanding and experience of the electrical and mechanical systems used in a data center environment, including Feeders, Transformers, Generators, Fuel Systems, Switchgear, UPS Systems, Battery Banks, ATS / STS Units, Chillers, Air Handling Units, CRAH / CRAC Units, Fire Alarm Systems and Fire Suppression Experience with Siemens, Rockwell, ABB and Schneider PLCs, Wonderware SCADA, Schneider Ecostruxure, Trend IQVision is preferred. Ability to understand and analyze relevant technical documents such as electrical diagrams, liquid, piping diagrams, schemes psychometric diagrams, etc. Continued Health and Safety awareness in operational Assistance in the review and approval of RAMS (risk assessment and method statement) from contractors performing work in our facilities. Contribute to the preparation of root cause analysis to drive long-term system This may involve managing third-party experts. Development and implementation of asset life cycle plans, including repair / replace strategies and the initiation of replacement / capital projects. Providing inputs to our design team regarding operational and maintainability aspects of existing and new designs. Represent Yondr Operations during the technical handover process to ensure system testing and commissioning are satisfactorily completed for all projects, including new data centers. Qualifications and experience Bachelor's degree in an applicable engineering field preferred, experience would be considered in lieu of a Bachelor's. 8 -10 years of relevant experience (with 5+ years of experience working in data centers and/or critical environments preferred). Demonstrated skills and experience in the design, maintenance, and operation of mechanical and electrical monitoring and control systems in critical environments, preferably data centers. Experienced in the delivery of highly complex technical Evidence of strong interpersonal skills is Results oriented, highly accountable, and strong organizational Attention to detail and the ability to understand the big Ability to perform through change and transformation while adapting to shifting Skills and Experience Show good team leadership skills and can lead by example. Excellent people management skills, with the confidence to lead and motivate the team and those around you. Excellent interpersonal and communication skills. Broad experience in managing critical environments, data centres or smart buildings. Good problem-solving and analytical skills. Ability to multitask and thrive in a fast-paced regional and global business Good, clear and precise delegation skills Sensitive to political situations - good relationship builder Person specification Passionate about what you do and committed to excellence - leads and holds people to account Detail oriented and diligent. Entrepreneurial by nature with a strong sense of ownership. Decision maker. Results orientated and prepared to take ownership of outcomes Support the success of other people and their businesses above your own success Excellent external radar so that they pick up on trends Proactive, diligent, able and willing to think ahead Ability to understand the wider picture whilst devoting attention to detail At Yondr, we want to enhance the diversity, equity, inclusion and belonging of our workforce to reflect the world we live in. Our roles are potential opportunities for everyone; all interested parties, regardless of nationality, race, ethnicity, religion, age, sexual orientation, or gender, are welcome to apply. We ensure all candidates have equitable access and consideration throughout the hiring process. Yondr is committed to fostering a welcoming, safe and inclusive work environment. We provide support through our benefits, which are inclusive of all backgrounds.
Apr 06, 2026
Full time
Operations Senior Engineer - Systems, EMEA London, England, United Kingdom About Yondr Yondr is a disruptor. We challenge convention and simplify complexity. A global developer, owner operator and service provider of data centers, we deliver complex data center capacity needs for the world's largest tech companies. Our exponential growth sees us looking for extraordinary people to help accelerate us towards our vision: a tomorrow without constraints. But we can't do this without you. Job purpose Yondr is revolutionising the real estate and technology industries. We provide wholly outsourced, end-to-end solutions to meet the capacity and property needs of growing businesses. In the process, we improve business performance, create enriching user experiences, and meet tomorrow's needs today. But we can't do it without you. We believe in a tomorrow without constraints and making the impossible possible for our clients. Thinking out of the box and not settling for less, is crucial. All interested parties, regardless of nationality, race, ethnicity, religion, age, sexual orientation, or gender, are welcome to apply and will be considered equally. Diversity is one of Yondr's core values, and we want to enhance the diversity of our workforce to reflect the world we live in. About the Role As the Operations Senior Engineer - Systems, you are responsible for the monitoring and control systems for the critical mechanical and electrical assets within our regional data centers-including the building management system (BMS) and the electrical power monitoring system (EPMS). The Operations Senior Engineer - Systems is responsible for the optimal monitoring and control availability of the mechanical and electrical assets throughout their lifecycle, taking into consideration health, safety, environment, costs, investments, and customer requirements. Main Responsibilities This position will have overall responsibility for all mechanical controls and electrical systems monitoring aspects of our regional data centers. Responsibilities shall include, but not be limited to, planned and corrective maintenance, technical documentation, review of proposed operational procedures, initial analysis of in-service failures, associated project work, and overall systems health. The Operations Senior Engineer - Systems will have experience and formal training in industry-standard systems (e.g., Delta Controls, Trend, Johnson Controls, Siemens WinPM, Schneider EcoStruxure/ION Enterprise) as well as working knowledge of HVAC plants and electrical distribution systems and components. The role is also responsible for leading small to medium-scale projects and the rollout of engineering initiatives. Interacts with internal and external teams, including design and construction management of new facilities and Yondr facility management and operations. Ensure optimal availability of critical mechanical and electrical control and monitoring Work with site operational and technical teams, original equipment manufacturers (OEMs), and Facility Management partners to ensure optimal availability of critical mechanical and electrical control and monitoring systems. Ensure management and adherence to all customer service level agreements (SLAs). Understand the client SLAs and create all required reports detailing systems performance, activities and issues that have taken place that require reporting and Create and run trending and diagnostics on the BMS and EPMS systems and notify operations personnel of any abnormalities. Work closely with the OEMs to achieve stable and reliable monitoring and control Schedule and supervise required maintenance for BMS and Develop new interfaces (graphics) on request of the Data Center Operations and facility management (FM) teams. Train and assist internal customers and stakeholders with the creation, design, configuration, validation, installation, commissioning, and operation of BMS and EPMS systems. Data bus knowledge (e.g., Modbus, Bacnet) are an A strong understanding and experience of the electrical and mechanical systems used in a data center environment, including Feeders, Transformers, Generators, Fuel Systems, Switchgear, UPS Systems, Battery Banks, ATS / STS Units, Chillers, Air Handling Units, CRAH / CRAC Units, Fire Alarm Systems and Fire Suppression Experience with Siemens, Rockwell, ABB and Schneider PLCs, Wonderware SCADA, Schneider Ecostruxure, Trend IQVision is preferred. Ability to understand and analyze relevant technical documents such as electrical diagrams, liquid, piping diagrams, schemes psychometric diagrams, etc. Continued Health and Safety awareness in operational Assistance in the review and approval of RAMS (risk assessment and method statement) from contractors performing work in our facilities. Contribute to the preparation of root cause analysis to drive long-term system This may involve managing third-party experts. Development and implementation of asset life cycle plans, including repair / replace strategies and the initiation of replacement / capital projects. Providing inputs to our design team regarding operational and maintainability aspects of existing and new designs. Represent Yondr Operations during the technical handover process to ensure system testing and commissioning are satisfactorily completed for all projects, including new data centers. Qualifications and experience Bachelor's degree in an applicable engineering field preferred, experience would be considered in lieu of a Bachelor's. 8 -10 years of relevant experience (with 5+ years of experience working in data centers and/or critical environments preferred). Demonstrated skills and experience in the design, maintenance, and operation of mechanical and electrical monitoring and control systems in critical environments, preferably data centers. Experienced in the delivery of highly complex technical Evidence of strong interpersonal skills is Results oriented, highly accountable, and strong organizational Attention to detail and the ability to understand the big Ability to perform through change and transformation while adapting to shifting Skills and Experience Show good team leadership skills and can lead by example. Excellent people management skills, with the confidence to lead and motivate the team and those around you. Excellent interpersonal and communication skills. Broad experience in managing critical environments, data centres or smart buildings. Good problem-solving and analytical skills. Ability to multitask and thrive in a fast-paced regional and global business Good, clear and precise delegation skills Sensitive to political situations - good relationship builder Person specification Passionate about what you do and committed to excellence - leads and holds people to account Detail oriented and diligent. Entrepreneurial by nature with a strong sense of ownership. Decision maker. Results orientated and prepared to take ownership of outcomes Support the success of other people and their businesses above your own success Excellent external radar so that they pick up on trends Proactive, diligent, able and willing to think ahead Ability to understand the wider picture whilst devoting attention to detail At Yondr, we want to enhance the diversity, equity, inclusion and belonging of our workforce to reflect the world we live in. Our roles are potential opportunities for everyone; all interested parties, regardless of nationality, race, ethnicity, religion, age, sexual orientation, or gender, are welcome to apply. We ensure all candidates have equitable access and consideration throughout the hiring process. Yondr is committed to fostering a welcoming, safe and inclusive work environment. We provide support through our benefits, which are inclusive of all backgrounds.
Senior Event Sales Manager - London Senior Event Sales Manager Senior Event Sales Manager Competitive + Bonus + Company Benefits Full Time Kings Cross International Travel London sets the perfect stage for The Standard's first European flagship and since opening in 2019, The Standard, London has firmly established itself as one of the capital's most dynamic lifestyle hotels. Set in King's Cross within the hotel's iconic brutalist building, The Standard brings its design-led, culture-driven, activation-heavy philosophy to the heart of the city. With 266 guestrooms ranging from cosy rooms to terraced suites overlooking St Pancras, alongside a constant programme of cultural happenings, the hotel has become both a neighbourhood fixture and an international destination. Our restaurants, bars and rooftop terraces are legendary. From Isla's garden setting to Double Standard's vibrant energy, Decimo's skyline dining and Sweeties' late-night scene, our venues create a high-volume, multi-outlet operation that runs from early morning through to late night. Together, these spaces position The Standard, London as one of the city's most exciting destinations for events, celebrations and brand experiences. We are now looking for an experienced and commercially driven Senior Event Sales Manager who will embody our Anything but Standard ethos and lead the continued growth of our Events segment. Your role As our Senior Event Sales Manager, you will work in partnership with our Director of Sales and Director of Events lo strategically grow and develop our Events business, while also supporting Groups and MICE revenue. You will be responsible for driving performance, increasing market share and contributing directly to total revenue through a proactive and structured sales approach, with a primary focus on Events. You will take ownership of a portfolio of high-value, high-producing accounts across corporate, agency, fashion, creative industries, luxury brands and private clients. Alongside managing and developing existing relationships, you will proactively identify new opportunities and expand our presence across key domestic and international markets. Strong business development skills are essential. You will design and execute targeted prospecting plans, source and convert large and complex event opportunities, and maintain a strong forward pipeline with accurate forecasting and disciplined follow up. Representing The Standard in market, you will build and maintain strong relationships with event agencies, corporate bookers, production companies, wedding planners and key industry partners. The role will involve client entertaining, site inspections, networking events and, where required, international travel. As the senior contact for Events, you will oversee the full lifecycle of business from enquiry and negotiation through to contracting and post-event follow up. You will ensure seamless collaboration with Events and Operations teams, remain engaged throughout the client journey, and secure repeat and incremental business through consistent relationship management. You will also work closely with Revenue, Marketing and Operations to align pricing, segmentation and need period strategies, contributing to forecasting, reporting and overall commercial planning. Do you have what it takes to be our Senior Event Sales Manager at The Standard, London Prior experience in a senior proactive Event Sales or MICE Sales role within the 4 or 5-star London market is essential. A background within a lifestyle Hotel or Venue, boutique or design-led brand would be highly advantageous. In addition to this you may also have A minimum of 5 years' Event Sales experience within the London market A proven track record of handling large, complex, high-value events from lead generation through contracting and post-event follow up Strong experience across Meetings & Events and Social Events, including weddings, parties, brand activations and venue buyouts Exceptional knowledge of the London Events and MICE market across corporate, agency, fashion, creative and private client segments Strong proactive business development skills with demonstrated success generating new revenue An established network of key London and international industry contacts Experience working with multi-outlet F&B operations and non-traditional event spaces Strong commercial acumen and the ability to interpret market demand and booking pace Experience producing sales reports and managing pipelines Proficiency in Opera PMS, CRM systems and major RFP platforms (Lanyon, HRS), along with strong Microsoft Office skills. Prior use of Envision would be an advantage If you believe you have what it takes to elevate our Events segment and contribute to the continued success of The Standard, London, we would love to hear from you. All applicants must be eligible to live and work in the United Kingdom. Documented evidence of eligibility will be required from candidates prior to commencing employment. Benefits Include Bonus Scheme International Travel Business & Personal Travel Insurance Meals on duty 28 Days Holiday rising to 33 days with service Pension Scheme Life Assurance (4 x Annual Salary) Medical Assistance (including online GP and Physio) Employee Assistance Programme with Well-being service Membership to Headspace Meditation app Discount platform including GYM Worldwide Travel Discounts via The Standard Advantage platform Employee & Family Rates across all Standard and Hyatt properties world wide Growth and Development opportunities internationally with Hyatt In-house Experience Programme F&B Discounts ranging from 25-50% Recruitment Referral Bonus up to 1,000 Tuition Aid Scheme & subsidised training Season Ticket Loan & Bike 2 Work Scheme Social Committee with regular monthly social activities
Apr 06, 2026
Full time
Senior Event Sales Manager - London Senior Event Sales Manager Senior Event Sales Manager Competitive + Bonus + Company Benefits Full Time Kings Cross International Travel London sets the perfect stage for The Standard's first European flagship and since opening in 2019, The Standard, London has firmly established itself as one of the capital's most dynamic lifestyle hotels. Set in King's Cross within the hotel's iconic brutalist building, The Standard brings its design-led, culture-driven, activation-heavy philosophy to the heart of the city. With 266 guestrooms ranging from cosy rooms to terraced suites overlooking St Pancras, alongside a constant programme of cultural happenings, the hotel has become both a neighbourhood fixture and an international destination. Our restaurants, bars and rooftop terraces are legendary. From Isla's garden setting to Double Standard's vibrant energy, Decimo's skyline dining and Sweeties' late-night scene, our venues create a high-volume, multi-outlet operation that runs from early morning through to late night. Together, these spaces position The Standard, London as one of the city's most exciting destinations for events, celebrations and brand experiences. We are now looking for an experienced and commercially driven Senior Event Sales Manager who will embody our Anything but Standard ethos and lead the continued growth of our Events segment. Your role As our Senior Event Sales Manager, you will work in partnership with our Director of Sales and Director of Events lo strategically grow and develop our Events business, while also supporting Groups and MICE revenue. You will be responsible for driving performance, increasing market share and contributing directly to total revenue through a proactive and structured sales approach, with a primary focus on Events. You will take ownership of a portfolio of high-value, high-producing accounts across corporate, agency, fashion, creative industries, luxury brands and private clients. Alongside managing and developing existing relationships, you will proactively identify new opportunities and expand our presence across key domestic and international markets. Strong business development skills are essential. You will design and execute targeted prospecting plans, source and convert large and complex event opportunities, and maintain a strong forward pipeline with accurate forecasting and disciplined follow up. Representing The Standard in market, you will build and maintain strong relationships with event agencies, corporate bookers, production companies, wedding planners and key industry partners. The role will involve client entertaining, site inspections, networking events and, where required, international travel. As the senior contact for Events, you will oversee the full lifecycle of business from enquiry and negotiation through to contracting and post-event follow up. You will ensure seamless collaboration with Events and Operations teams, remain engaged throughout the client journey, and secure repeat and incremental business through consistent relationship management. You will also work closely with Revenue, Marketing and Operations to align pricing, segmentation and need period strategies, contributing to forecasting, reporting and overall commercial planning. Do you have what it takes to be our Senior Event Sales Manager at The Standard, London Prior experience in a senior proactive Event Sales or MICE Sales role within the 4 or 5-star London market is essential. A background within a lifestyle Hotel or Venue, boutique or design-led brand would be highly advantageous. In addition to this you may also have A minimum of 5 years' Event Sales experience within the London market A proven track record of handling large, complex, high-value events from lead generation through contracting and post-event follow up Strong experience across Meetings & Events and Social Events, including weddings, parties, brand activations and venue buyouts Exceptional knowledge of the London Events and MICE market across corporate, agency, fashion, creative and private client segments Strong proactive business development skills with demonstrated success generating new revenue An established network of key London and international industry contacts Experience working with multi-outlet F&B operations and non-traditional event spaces Strong commercial acumen and the ability to interpret market demand and booking pace Experience producing sales reports and managing pipelines Proficiency in Opera PMS, CRM systems and major RFP platforms (Lanyon, HRS), along with strong Microsoft Office skills. Prior use of Envision would be an advantage If you believe you have what it takes to elevate our Events segment and contribute to the continued success of The Standard, London, we would love to hear from you. All applicants must be eligible to live and work in the United Kingdom. Documented evidence of eligibility will be required from candidates prior to commencing employment. Benefits Include Bonus Scheme International Travel Business & Personal Travel Insurance Meals on duty 28 Days Holiday rising to 33 days with service Pension Scheme Life Assurance (4 x Annual Salary) Medical Assistance (including online GP and Physio) Employee Assistance Programme with Well-being service Membership to Headspace Meditation app Discount platform including GYM Worldwide Travel Discounts via The Standard Advantage platform Employee & Family Rates across all Standard and Hyatt properties world wide Growth and Development opportunities internationally with Hyatt In-house Experience Programme F&B Discounts ranging from 25-50% Recruitment Referral Bonus up to 1,000 Tuition Aid Scheme & subsidised training Season Ticket Loan & Bike 2 Work Scheme Social Committee with regular monthly social activities
Hometree Marketplace Limited
Newcastle Upon Tyne, Tyne And Wear
Salary: £27,000 - £40,000 per annum based on experience) £50,000 - £65,000+ (uncapped commission) Role Type: Full-Time Location: North Shields - Hybrid Reporting To: Sales Director & General Manager A full clean UK driving licence is essential. About Geowarmth Geowarmth is a multi-award-winning installer of carbon-neutral home energy solutions. With over 20 years of expertise, we deliver premium installations of heat pumps, solar panels, EV chargers, and underfloor heating. Our experienced team is trusted to carry out complex installations at prestigious locations, including World Heritage Sites. In 2024, we joined the Hometree Group-one of the UK's fastest-growing home energy services companies. This partnership has expanded our offering to include servicing, maintenance, and financing-supporting homeowners throughout their transition to low-carbon living. Now is a transformative time to join our business. If you're passionate about sustainability and driven by sales success, you'll thrive in this mission-led environment. You must have a full clean UK driving licence for this role. The company covers all fuel and mileage expenses for site visits. The Role We're looking for someone ambitious who can lead the charge, shaping our solar sales strategy, proving the concept, and becoming our in-house expert for all things solar PV and battery. This role offers the rare chance to directly influence the success and growth of our solar division from the ground up, within the stability of an established renewable energy business. The Solar Sales Consultant will deliver residential and commercial solar PV and battery sales by guiding customers from initial enquiry through to contract agreement. This role involves responding to customer enquiries, designing bespoke solar PV systems, and preparing detailed technical and financial proposals. The consultant engages directly with customers through in-person site visits, ensuring a professional and customer-focused experience that drives the growth of Geowarmth's solar sales operations. Responsibilities: Sales & Lead Management: Follow up on leads, identify upsell opportunities, negotiate contracts, close sales, and support the Sales Manager in achieving targets. Technical Sales & System Design: Analyse survey data, design tailored solar PV systems, and clearly present solutions including ROI, energy savings, and carbon reduction. Presales Design: Meet with the customer, present the design and quotation for review and approval. Collaboration & Coordination: Work closely with surveyors, designers, and project managers to ensure smooth project delivery. Reporting & Industry Insight: Prepare sales forecasts, stay up to date with industry developments, and represent the company at relevant events and exhibitions. Solution Presentation: Present clear information on energy savings, Return on Investment (ROI), and carbon reduction benefits. Industry Knowledge: Keep up to date with solar technology developments, government incentives, and regulations. Company Representation: Represent the company at events, exhibitions, and community sessions as required. What we're looking for: Sales Experience: At least 2+ years of proven sales experience, preferably within solar or renewable energy industries. Technical Knowledge: Good understanding of solar PV systems and use of solar design software. IT Skills: Strong IT skills, including experience managing CRM systems and other business IT platforms. System Design Skills: Skilled in system design and interpreting survey data. Communication: Excellent communication and interpersonal skills. Technical Explanation: Ability to explain technical concepts clearly to customers. Organisation: Highly organised with strong multitasking abilities. Motivation: Self motivated and target driven. Teamwork: Comfortable working independently and in a team. Continuous Learning: Commitment to continuous learning and development. Professionalism: Customer focused and professional. Extra credit: Experience with platforms such as , Open Solar , Spruce , and simPRO . Our Recruitment Process: Initial Call: Start with an introductory call with our Junior Talent Acquisition Specialist to discuss the role and your potential fit. (30 mins) Skills Based Interview: Engage in a detailed discussion about your past experiences with our Head of Sales (1 hr) Final Interview: Final interview with IMS Sales Director (1 hr) Perks & Benefits 25 days holiday + bank holidays Extra day off for your birthday Long service leave milestones 10 days sick pay (following qualifying period) Continuous learning & development Company socials and team events Strong focus on work life balance 0% Tools Loans EV Salary Sacrifice Scheme Bonus Scheme Van and Uniform provided Company Mobile Phone Subject to T&Cs About Hometree Join Hometree Group and be at the forefront of transforming the residential energy landscape. Founded in 2015, Hometree began its journey in the home cover market. Today, We are spearheading the shift towards a future where home energy systems are decentralised, digitised, and reliant on renewable sources such as heat pumps, solar panels, batteries, EV chargers, and smart controls. This innovative approach is not just about sustainability; it's about empowering homeowners to manage their energy more efficiently and cost effectively, thereby setting new standards in energy consumption. We operate across three dynamic divisions: Financial Services: Here, you'll contribute to offering flexible financing options, that make it feasible for homeowners to embrace renewable energy technologies and make essential upgrades. Energy Services: Be part of our extensive network of local installation businesses that equip homeowners with the cutting edge, sustainable energy solutions necessary for reaching net zero emissions. Home Services: Help maintain the comfort and functionality of homes with comprehensive coverage plans that protect the essential hardware in the home. At Hometree Group, we are committed to guiding UK homeowners on their journey towards more sustainable energy solutions, and we need passionate individuals to support them at every step. Join us during this exciting time, and play a pivotal role in a business that supports sustainable homeownership in alignment with their readiness and needs. Key Achievements £85m+ Capital Raised - We've raised over £85m to date from leading global investors including Legal & General Capital and specialist energy VCs 5 Acquisitions - We've expanded our operations by acquiring four key companies across financing (Hometree Finance - formerly Bewarm), home cover (Your Repair) and energy services (Geowarmth, The Little Green Energy Company, IMS and GreenGen). 100k Homes Covered - We cover over one hundred thousand homes across the UK 280+ Employees - We have over 280 passionate employees transforming the industry across the Group, one home at a time Equal Opportunity Employer At Geowarmth, we are committed to creating an inclusive and representative environment. We know that different experiences, perspectives and backgrounds make for a better workplace and a better planet. Together, we celebrate differences and promote a culture where you can bring your full self to work. We promise to give you the same opportunities as everyone else and we won't discriminate against you at any point in the hiring process or the working day. This includes how we source talent, our interview process, our conditions of employment, feedback and everything in between.
Apr 06, 2026
Full time
Salary: £27,000 - £40,000 per annum based on experience) £50,000 - £65,000+ (uncapped commission) Role Type: Full-Time Location: North Shields - Hybrid Reporting To: Sales Director & General Manager A full clean UK driving licence is essential. About Geowarmth Geowarmth is a multi-award-winning installer of carbon-neutral home energy solutions. With over 20 years of expertise, we deliver premium installations of heat pumps, solar panels, EV chargers, and underfloor heating. Our experienced team is trusted to carry out complex installations at prestigious locations, including World Heritage Sites. In 2024, we joined the Hometree Group-one of the UK's fastest-growing home energy services companies. This partnership has expanded our offering to include servicing, maintenance, and financing-supporting homeowners throughout their transition to low-carbon living. Now is a transformative time to join our business. If you're passionate about sustainability and driven by sales success, you'll thrive in this mission-led environment. You must have a full clean UK driving licence for this role. The company covers all fuel and mileage expenses for site visits. The Role We're looking for someone ambitious who can lead the charge, shaping our solar sales strategy, proving the concept, and becoming our in-house expert for all things solar PV and battery. This role offers the rare chance to directly influence the success and growth of our solar division from the ground up, within the stability of an established renewable energy business. The Solar Sales Consultant will deliver residential and commercial solar PV and battery sales by guiding customers from initial enquiry through to contract agreement. This role involves responding to customer enquiries, designing bespoke solar PV systems, and preparing detailed technical and financial proposals. The consultant engages directly with customers through in-person site visits, ensuring a professional and customer-focused experience that drives the growth of Geowarmth's solar sales operations. Responsibilities: Sales & Lead Management: Follow up on leads, identify upsell opportunities, negotiate contracts, close sales, and support the Sales Manager in achieving targets. Technical Sales & System Design: Analyse survey data, design tailored solar PV systems, and clearly present solutions including ROI, energy savings, and carbon reduction. Presales Design: Meet with the customer, present the design and quotation for review and approval. Collaboration & Coordination: Work closely with surveyors, designers, and project managers to ensure smooth project delivery. Reporting & Industry Insight: Prepare sales forecasts, stay up to date with industry developments, and represent the company at relevant events and exhibitions. Solution Presentation: Present clear information on energy savings, Return on Investment (ROI), and carbon reduction benefits. Industry Knowledge: Keep up to date with solar technology developments, government incentives, and regulations. Company Representation: Represent the company at events, exhibitions, and community sessions as required. What we're looking for: Sales Experience: At least 2+ years of proven sales experience, preferably within solar or renewable energy industries. Technical Knowledge: Good understanding of solar PV systems and use of solar design software. IT Skills: Strong IT skills, including experience managing CRM systems and other business IT platforms. System Design Skills: Skilled in system design and interpreting survey data. Communication: Excellent communication and interpersonal skills. Technical Explanation: Ability to explain technical concepts clearly to customers. Organisation: Highly organised with strong multitasking abilities. Motivation: Self motivated and target driven. Teamwork: Comfortable working independently and in a team. Continuous Learning: Commitment to continuous learning and development. Professionalism: Customer focused and professional. Extra credit: Experience with platforms such as , Open Solar , Spruce , and simPRO . Our Recruitment Process: Initial Call: Start with an introductory call with our Junior Talent Acquisition Specialist to discuss the role and your potential fit. (30 mins) Skills Based Interview: Engage in a detailed discussion about your past experiences with our Head of Sales (1 hr) Final Interview: Final interview with IMS Sales Director (1 hr) Perks & Benefits 25 days holiday + bank holidays Extra day off for your birthday Long service leave milestones 10 days sick pay (following qualifying period) Continuous learning & development Company socials and team events Strong focus on work life balance 0% Tools Loans EV Salary Sacrifice Scheme Bonus Scheme Van and Uniform provided Company Mobile Phone Subject to T&Cs About Hometree Join Hometree Group and be at the forefront of transforming the residential energy landscape. Founded in 2015, Hometree began its journey in the home cover market. Today, We are spearheading the shift towards a future where home energy systems are decentralised, digitised, and reliant on renewable sources such as heat pumps, solar panels, batteries, EV chargers, and smart controls. This innovative approach is not just about sustainability; it's about empowering homeowners to manage their energy more efficiently and cost effectively, thereby setting new standards in energy consumption. We operate across three dynamic divisions: Financial Services: Here, you'll contribute to offering flexible financing options, that make it feasible for homeowners to embrace renewable energy technologies and make essential upgrades. Energy Services: Be part of our extensive network of local installation businesses that equip homeowners with the cutting edge, sustainable energy solutions necessary for reaching net zero emissions. Home Services: Help maintain the comfort and functionality of homes with comprehensive coverage plans that protect the essential hardware in the home. At Hometree Group, we are committed to guiding UK homeowners on their journey towards more sustainable energy solutions, and we need passionate individuals to support them at every step. Join us during this exciting time, and play a pivotal role in a business that supports sustainable homeownership in alignment with their readiness and needs. Key Achievements £85m+ Capital Raised - We've raised over £85m to date from leading global investors including Legal & General Capital and specialist energy VCs 5 Acquisitions - We've expanded our operations by acquiring four key companies across financing (Hometree Finance - formerly Bewarm), home cover (Your Repair) and energy services (Geowarmth, The Little Green Energy Company, IMS and GreenGen). 100k Homes Covered - We cover over one hundred thousand homes across the UK 280+ Employees - We have over 280 passionate employees transforming the industry across the Group, one home at a time Equal Opportunity Employer At Geowarmth, we are committed to creating an inclusive and representative environment. We know that different experiences, perspectives and backgrounds make for a better workplace and a better planet. Together, we celebrate differences and promote a culture where you can bring your full self to work. We promise to give you the same opportunities as everyone else and we won't discriminate against you at any point in the hiring process or the working day. This includes how we source talent, our interview process, our conditions of employment, feedback and everything in between.
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 06, 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.
A LITTLE INFORMATION ABOUT US! FoodsConnected is an award winning cloud based software platform that helps retailers and food companies across the world manage their supply chain, quality control and trading and planning management. Our software solutions are currently utilised by 10 of the largest food retailers in the world. As a team, we provide tools that help our customers manage their processes in a fast and efficient way and provide real-time visibility and reporting on what is happening in their business. At Foods Connected, we recognise that our employees are our most important asset and we value creating a great working environment to ensure our team enjoy coming into the office every day working together and solving problems for our customers. Whether we are in the middle of a fast and intense development sprint, on a Teams call discussing our project statuses or enjoying a game of ping-pong or pool in the office, it is important to us that our employees are happy and delivering the best possible result for our customers. We're always keen to welcome talented individuals to join our expanding team. So if you're driven, with a passion for developing simple software solutions, creating great user experiences, designing scalable solutions for real business challenges and ensuring customer happiness then we're looking for you! IS THIS SOMETHING THAT INTERESTS YOU? Foods Connected has built a mature, functionality-rich platform over the last 10 years, used by some of the largest food retail and food manufacturing companies in the world. We are a PE-backed company operating across the UK, Australia, and North America, and engineering sits at the centre of our growth strategy. Our engineering organisation is evolving. We are moving toward smaller, more autonomous engineering teams with greater ownership of outcomes, supported by AI-augmented development practices and modern tooling. This transition is underway but not complete, and the Director of Engineering will play a central role in making it real. The Director of Engineering is a senior leadership role that sits between the CTO and the engineering teams. The CTO remains accountable for overall technology vision and alignment with product and commercial strategy. The Director of Engineering is accountable for translating that vision into consistent execution, scalable systems, and high-performing teams. You will partner closely with the CTO on technical strategy and organisational direction, and work downward through senior Technical Leads and the Engineering Manager to ensure teams are delivering with quality, pace, and genuine ownership. You will have organisational oversight of an engineering department of 50+ people spanning Graduate to Principal level. This role owns the operational rhythm of engineering, technical standards and consistency, and the day-to-day engineering leadership that enables the CTO to focus on innovation, product direction, and commercial strategy. You will have decision-making authority over engineering practices, team structure, and technical standards, and will be expected to make calls and own the outcomes. As a member of the Engineering Division Leadership Team, you will collaborate with the Director of Data and the Director of Infrastructure and Security to ensure cohesive execution across the technology organisation. This is a PE-backed environment where engineering decisions carry commercial weight. The platform carries technical debt alongside production systems that enterprise customers depend on daily. There is an ongoing modernisation effort, legacy components that require pragmatic decisions, and teams adapting to a new operating model with greater autonomy and AI-augmented practices. You will need to balance architecture evolution with feature delivery, bring people through change, and represent engineering reality clearly when timelines, cost, and risk come under pressure. RESPONSIBILITIES: Strategic Leadership and Engineering Evolution (35%) Partner with the CTO to define and execute long-term engineering strategy aligned with company objectives and the product roadmap. Act as a core member of the Engineering Division Leadership Team alongside the Director of Data and Director of Infrastructure and Security. Drive the evolution of engineering practices, including the effective adoption of AI-augmented development to improve quality, throughput, and developer experience. Shape how engineering teams are structured and operate, moving toward greater autonomy and ownership while maintaining alignment and shared standards. Build strong working relationships with Product, Customer Success, and other cross-functional leaders. Own engineering talent strategy including recruitment, retention, succession planning, and career development. Represent engineering in executive forums and board-level discussions, providing clear and honest visibility into progress, risks, and trade-offs. Communicate engineering strategy, priorities, and constraints clearly across senior leadership and delivery teams. Technical Direction and Architecture (30%) Own the execution of the technical direction for the platform, ensuring architectural decisions support scalability, reliability, and long-term maintainability. Work with the CTO to ensure technical direction remains aligned with product and commercial strategy. Drive pragmatic decisions on modernisation, refactoring, and legacy investment, balancing risk, cost, and customer impact. Own and enforce technical standards across teams, ensuring consistency without unnecessary centralisation. Work closely with senior Technical Leads to ensure high-quality, consistent architectural and design decisions. Lead or sponsor critical technical design reviews and guide teams through complex engineering challenges. Define expectations for AI-augmented development, including tooling standards, acceptable use, and how quality and productivity gains are measured. Stay current with relevant emerging technologies and evaluate their practical application to Foods Connected's platforms. Be technically credible by engaging meaningfully in architectural discussions and challenging proposals where needed, without being a day-to-day code contributor. Enabling Delivery and Operational Excellence (35%) Work through the Engineering Manager and senior Technical Leads to ensure teams have the clarity, support, and tooling required to deliver effectively. Own the operational rhythm of engineering, including planning cadence, delivery coordination, and cross-team alignment. Set clear expectations for delivery quality and pace while supporting teams as they build greater autonomy. Drive process improvements that reduce friction and overhead rather than adding bureaucracy. Balance concurrent priorities across feature delivery, platform evolution, and technical debt reduction. Act as the senior escalation point for delivery, quality, and technical risk issues Coordinate closely with the Director of Data and Director of Infrastructure and Security to ensure integrated execution across the Engineering Division. Manage stakeholder and customer expectations regarding technical capabilities, timelines, and trade-offs. EXPERIENCE AND QUALIFICATIONS: To perform this job successfully, the Director of Engineering should have experience with: MINIMUM QUALIFICATIONS Significant experience in a senior engineering leadership role with responsibility for large, complex teams Proven track record evolving mature platforms in production environments with real users and real technical debt Demonstrated ability to lead through technical influence rather than positional authority Experience operating in a PE-backed, investor-backed, or high-growth environment Experience working alongside a technically involved CTO is beneficial TECHNICAL SKILLS Deep understanding of modern software development practices and delivery models Strong background in C#, .NET, JavaScript, React, SQL Server, Azure, and Kubernetes Experience with cloud platforms, distributed systems, and modern DevOps practices Working knowledge of AI-augmented development tools and practices, with a pragmatic approach to adoption Ability to evaluate new technologies strategically rather than chasing trends BENEFITS: Competitive Base Salary Generous Holiday Package - 25 Days + 10 Public Holidays Private Medical, Dental & Vision Employee Wellness Program and Classes Flexible model of hybrid working
Apr 06, 2026
Full time
A LITTLE INFORMATION ABOUT US! FoodsConnected is an award winning cloud based software platform that helps retailers and food companies across the world manage their supply chain, quality control and trading and planning management. Our software solutions are currently utilised by 10 of the largest food retailers in the world. As a team, we provide tools that help our customers manage their processes in a fast and efficient way and provide real-time visibility and reporting on what is happening in their business. At Foods Connected, we recognise that our employees are our most important asset and we value creating a great working environment to ensure our team enjoy coming into the office every day working together and solving problems for our customers. Whether we are in the middle of a fast and intense development sprint, on a Teams call discussing our project statuses or enjoying a game of ping-pong or pool in the office, it is important to us that our employees are happy and delivering the best possible result for our customers. We're always keen to welcome talented individuals to join our expanding team. So if you're driven, with a passion for developing simple software solutions, creating great user experiences, designing scalable solutions for real business challenges and ensuring customer happiness then we're looking for you! IS THIS SOMETHING THAT INTERESTS YOU? Foods Connected has built a mature, functionality-rich platform over the last 10 years, used by some of the largest food retail and food manufacturing companies in the world. We are a PE-backed company operating across the UK, Australia, and North America, and engineering sits at the centre of our growth strategy. Our engineering organisation is evolving. We are moving toward smaller, more autonomous engineering teams with greater ownership of outcomes, supported by AI-augmented development practices and modern tooling. This transition is underway but not complete, and the Director of Engineering will play a central role in making it real. The Director of Engineering is a senior leadership role that sits between the CTO and the engineering teams. The CTO remains accountable for overall technology vision and alignment with product and commercial strategy. The Director of Engineering is accountable for translating that vision into consistent execution, scalable systems, and high-performing teams. You will partner closely with the CTO on technical strategy and organisational direction, and work downward through senior Technical Leads and the Engineering Manager to ensure teams are delivering with quality, pace, and genuine ownership. You will have organisational oversight of an engineering department of 50+ people spanning Graduate to Principal level. This role owns the operational rhythm of engineering, technical standards and consistency, and the day-to-day engineering leadership that enables the CTO to focus on innovation, product direction, and commercial strategy. You will have decision-making authority over engineering practices, team structure, and technical standards, and will be expected to make calls and own the outcomes. As a member of the Engineering Division Leadership Team, you will collaborate with the Director of Data and the Director of Infrastructure and Security to ensure cohesive execution across the technology organisation. This is a PE-backed environment where engineering decisions carry commercial weight. The platform carries technical debt alongside production systems that enterprise customers depend on daily. There is an ongoing modernisation effort, legacy components that require pragmatic decisions, and teams adapting to a new operating model with greater autonomy and AI-augmented practices. You will need to balance architecture evolution with feature delivery, bring people through change, and represent engineering reality clearly when timelines, cost, and risk come under pressure. RESPONSIBILITIES: Strategic Leadership and Engineering Evolution (35%) Partner with the CTO to define and execute long-term engineering strategy aligned with company objectives and the product roadmap. Act as a core member of the Engineering Division Leadership Team alongside the Director of Data and Director of Infrastructure and Security. Drive the evolution of engineering practices, including the effective adoption of AI-augmented development to improve quality, throughput, and developer experience. Shape how engineering teams are structured and operate, moving toward greater autonomy and ownership while maintaining alignment and shared standards. Build strong working relationships with Product, Customer Success, and other cross-functional leaders. Own engineering talent strategy including recruitment, retention, succession planning, and career development. Represent engineering in executive forums and board-level discussions, providing clear and honest visibility into progress, risks, and trade-offs. Communicate engineering strategy, priorities, and constraints clearly across senior leadership and delivery teams. Technical Direction and Architecture (30%) Own the execution of the technical direction for the platform, ensuring architectural decisions support scalability, reliability, and long-term maintainability. Work with the CTO to ensure technical direction remains aligned with product and commercial strategy. Drive pragmatic decisions on modernisation, refactoring, and legacy investment, balancing risk, cost, and customer impact. Own and enforce technical standards across teams, ensuring consistency without unnecessary centralisation. Work closely with senior Technical Leads to ensure high-quality, consistent architectural and design decisions. Lead or sponsor critical technical design reviews and guide teams through complex engineering challenges. Define expectations for AI-augmented development, including tooling standards, acceptable use, and how quality and productivity gains are measured. Stay current with relevant emerging technologies and evaluate their practical application to Foods Connected's platforms. Be technically credible by engaging meaningfully in architectural discussions and challenging proposals where needed, without being a day-to-day code contributor. Enabling Delivery and Operational Excellence (35%) Work through the Engineering Manager and senior Technical Leads to ensure teams have the clarity, support, and tooling required to deliver effectively. Own the operational rhythm of engineering, including planning cadence, delivery coordination, and cross-team alignment. Set clear expectations for delivery quality and pace while supporting teams as they build greater autonomy. Drive process improvements that reduce friction and overhead rather than adding bureaucracy. Balance concurrent priorities across feature delivery, platform evolution, and technical debt reduction. Act as the senior escalation point for delivery, quality, and technical risk issues Coordinate closely with the Director of Data and Director of Infrastructure and Security to ensure integrated execution across the Engineering Division. Manage stakeholder and customer expectations regarding technical capabilities, timelines, and trade-offs. EXPERIENCE AND QUALIFICATIONS: To perform this job successfully, the Director of Engineering should have experience with: MINIMUM QUALIFICATIONS Significant experience in a senior engineering leadership role with responsibility for large, complex teams Proven track record evolving mature platforms in production environments with real users and real technical debt Demonstrated ability to lead through technical influence rather than positional authority Experience operating in a PE-backed, investor-backed, or high-growth environment Experience working alongside a technically involved CTO is beneficial TECHNICAL SKILLS Deep understanding of modern software development practices and delivery models Strong background in C#, .NET, JavaScript, React, SQL Server, Azure, and Kubernetes Experience with cloud platforms, distributed systems, and modern DevOps practices Working knowledge of AI-augmented development tools and practices, with a pragmatic approach to adoption Ability to evaluate new technologies strategically rather than chasing trends BENEFITS: Competitive Base Salary Generous Holiday Package - 25 Days + 10 Public Holidays Private Medical, Dental & Vision Employee Wellness Program and Classes Flexible model of hybrid working
A leading financial services company is seeking a candidate for a strategic role focused on shaping the talent, leadership, and culture agenda. Responsibilities include executing learning and talent development, designing leadership programs, and driving cultural engagement initiatives. The ideal candidate should possess a relevant degree and experience in organizational capability building. This role offers a chance to impact an attractive, high-performing workplace.
Apr 06, 2026
Full time
A leading financial services company is seeking a candidate for a strategic role focused on shaping the talent, leadership, and culture agenda. Responsibilities include executing learning and talent development, designing leadership programs, and driving cultural engagement initiatives. The ideal candidate should possess a relevant degree and experience in organizational capability building. This role offers a chance to impact an attractive, high-performing workplace.
About Huzzle At Huzzle, we connect exceptional B2B professionals with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you're hired in house as a valued member of their team. About the Company This opportunity is with a fast growing AI powered Go To Market (GTM) systems company focused on helping modern revenue teams scale efficiently. The company builds automation driven revenue engines that turn market signals into qualified pipeline. Their infrastructure combines AI agents, workflow automation, outbound platforms, and CRM architecture to help growth stage companies ($1M-$100M+ ARR) build systematic competitive advantages without scaling headcount. Job Type: Full time Location: Remote Engagement: Independent Contract Key Responsibilities CRM Architecture & Revenue Systems Own the company's HubSpot CRM architecture end to end including pipelines, lifecycle stages, workflows, custom properties, and reporting. Design scalable revenue data models that align CRM activity with pipeline and revenue outcomes. Define and enforce data standards across the GTM stack including HubSpot, Airtable, outbound tooling, and AI systems. Conduct ongoing CRM audits and maintain data integrity, deduplication, and attribution accuracy. Revenue Analytics & Reporting Build reporting frameworks that track pipeline health, revenue velocity, conversion rates, and retention metrics. Develop dashboards that help leadership understand what's happening in the business in real time. Deliver strategic revenue insights and performance reports to executive leadership. Build client facing analytics dashboards used for operational reviews and strategic decision making. RevOps Consulting & Client Delivery Conduct RevOps assessments and CRM audits for client organizations. Design and implement HubSpot and CRM infrastructure including automation, integrations, and reporting. Operate as a senior RevOps advisor in client engagements, providing guidance on pipeline architecture, analytics, and systems strategy. Develop playbooks and frameworks that enable RevOps delivery to scale. Systems Integration & Automation Build and manage automation workflows using n8n or equivalent integration tools. Connect CRM systems with outbound tools, enrichment platforms, and operational databases. Implement integrations between CRM systems and billing platforms such as Stripe. Use AI tools to automate reporting, data analysis, documentation, and operational workflows. RevOps Practice Development Help build and scale the RevOps practice within the organization. Contribute to hiring and mentoring junior RevOps analysts and operations specialists. Develop internal frameworks and best practices for RevOps service delivery. Core Qualifications Deep HubSpot CRM architecture expertise with experience building systems from the ground up. Proven experience designing revenue pipelines, lifecycle models, and CRM data structures. Hands on experience building integrations using n8n, Zapier, Make, APIs, or webhook based workflows. Strong revenue analytics skills, including pipeline coverage modeling, CAC analysis, and cohort retention analysis. Experience implementing automation driven GTM systems across CRM, outbound tools, and data platforms. Working knowledge of Salesforce CRM, including data models, reporting, and migration planning. Ability to translate complex operational data into clear strategic recommendations. Preferred Experience Experience delivering RevOps consulting or agency style CRM implementations. Hands on production experience with n8n automation workflows. Experience integrating Stripe or billing platforms with CRM systems. Familiarity with AI tools used in operations workflows (e.g., AI assisted reporting, workflow automation, documentation generation). Experience hiring or mentoring RevOps analysts or CRM administrators. Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement
Apr 06, 2026
Full time
About Huzzle At Huzzle, we connect exceptional B2B professionals with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you're hired in house as a valued member of their team. About the Company This opportunity is with a fast growing AI powered Go To Market (GTM) systems company focused on helping modern revenue teams scale efficiently. The company builds automation driven revenue engines that turn market signals into qualified pipeline. Their infrastructure combines AI agents, workflow automation, outbound platforms, and CRM architecture to help growth stage companies ($1M-$100M+ ARR) build systematic competitive advantages without scaling headcount. Job Type: Full time Location: Remote Engagement: Independent Contract Key Responsibilities CRM Architecture & Revenue Systems Own the company's HubSpot CRM architecture end to end including pipelines, lifecycle stages, workflows, custom properties, and reporting. Design scalable revenue data models that align CRM activity with pipeline and revenue outcomes. Define and enforce data standards across the GTM stack including HubSpot, Airtable, outbound tooling, and AI systems. Conduct ongoing CRM audits and maintain data integrity, deduplication, and attribution accuracy. Revenue Analytics & Reporting Build reporting frameworks that track pipeline health, revenue velocity, conversion rates, and retention metrics. Develop dashboards that help leadership understand what's happening in the business in real time. Deliver strategic revenue insights and performance reports to executive leadership. Build client facing analytics dashboards used for operational reviews and strategic decision making. RevOps Consulting & Client Delivery Conduct RevOps assessments and CRM audits for client organizations. Design and implement HubSpot and CRM infrastructure including automation, integrations, and reporting. Operate as a senior RevOps advisor in client engagements, providing guidance on pipeline architecture, analytics, and systems strategy. Develop playbooks and frameworks that enable RevOps delivery to scale. Systems Integration & Automation Build and manage automation workflows using n8n or equivalent integration tools. Connect CRM systems with outbound tools, enrichment platforms, and operational databases. Implement integrations between CRM systems and billing platforms such as Stripe. Use AI tools to automate reporting, data analysis, documentation, and operational workflows. RevOps Practice Development Help build and scale the RevOps practice within the organization. Contribute to hiring and mentoring junior RevOps analysts and operations specialists. Develop internal frameworks and best practices for RevOps service delivery. Core Qualifications Deep HubSpot CRM architecture expertise with experience building systems from the ground up. Proven experience designing revenue pipelines, lifecycle models, and CRM data structures. Hands on experience building integrations using n8n, Zapier, Make, APIs, or webhook based workflows. Strong revenue analytics skills, including pipeline coverage modeling, CAC analysis, and cohort retention analysis. Experience implementing automation driven GTM systems across CRM, outbound tools, and data platforms. Working knowledge of Salesforce CRM, including data models, reporting, and migration planning. Ability to translate complex operational data into clear strategic recommendations. Preferred Experience Experience delivering RevOps consulting or agency style CRM implementations. Hands on production experience with n8n automation workflows. Experience integrating Stripe or billing platforms with CRM systems. Familiarity with AI tools used in operations workflows (e.g., AI assisted reporting, workflow automation, documentation generation). Experience hiring or mentoring RevOps analysts or CRM administrators. Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement
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 06, 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.
