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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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.
Jun 02, 2025
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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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.
Jun 02, 2025
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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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.
Jun 02, 2025
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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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.
Trials Scientist Closing Date: 13th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Packages: Junior Physicists (recent graduates): £29,490 - £37,000 (depending on your suitability and level of experience). Plus, role specific allowances. Experienced Physicists (PHD or graduates with post-grad experience): £38,020 - £43,500 (depending on your suitability and level of experience). Plus, role specific allowances. Senior Physicists (experienced physicists with qualifications coupled with experience in industry): £47,860 - £63,000 (depending on your suitability and level of experience). Plus, role specific allowances. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Trials Scientist and Senior Trials Scientist for the Design Physics Group to support Warhead research and Nuclear Threat Reduction programmes This role is ideally suited to an applied physicist who enjoys hands-on experiments and trials with an interest in their design and analysis of results. Working within the Applied Research Projects Team the successful candidate will be required to deliver research trials and experiments of varying complexities, to further the understanding of systems, subsystems, components and materials subject to extreme dynamic conditions. These trials are conducted using explosives in unique facilities and capabilities on and off site, deploying a range of diagnostic techniques. The successful candidate would lead multi-discipline teams through the lifecycle of the trial to ensure they are delivered safely and effectively to meet customer demands. They would be responsible for key design aspects of the trial, and the analysis and assessment of the data as well as assisting with fielding activities. Who are we looking for? We do need you to have the following: a strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. a willingness to travel occasionally, both overseas and in the UK Whilst not to be considered a tick list, for the senior role in particular, we'd like you to have experience in some of the following: Dynamic experiment design and fielding, ideally working with explosive or hydrodynamic diagnostic technologies, data analysis and assessment Knowledge of the underpinning science related to dynamic material properties, explosives and warhead physics Leading or collaborating with multi-discipline teams Safety management systems and project processes in a highly regulated environment Effectively communicating and engaging with a diverse range of stakeholders You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Jun 02, 2025
Full time
Trials Scientist Closing Date: 13th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Packages: Junior Physicists (recent graduates): £29,490 - £37,000 (depending on your suitability and level of experience). Plus, role specific allowances. Experienced Physicists (PHD or graduates with post-grad experience): £38,020 - £43,500 (depending on your suitability and level of experience). Plus, role specific allowances. Senior Physicists (experienced physicists with qualifications coupled with experience in industry): £47,860 - £63,000 (depending on your suitability and level of experience). Plus, role specific allowances. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Trials Scientist and Senior Trials Scientist for the Design Physics Group to support Warhead research and Nuclear Threat Reduction programmes This role is ideally suited to an applied physicist who enjoys hands-on experiments and trials with an interest in their design and analysis of results. Working within the Applied Research Projects Team the successful candidate will be required to deliver research trials and experiments of varying complexities, to further the understanding of systems, subsystems, components and materials subject to extreme dynamic conditions. These trials are conducted using explosives in unique facilities and capabilities on and off site, deploying a range of diagnostic techniques. The successful candidate would lead multi-discipline teams through the lifecycle of the trial to ensure they are delivered safely and effectively to meet customer demands. They would be responsible for key design aspects of the trial, and the analysis and assessment of the data as well as assisting with fielding activities. Who are we looking for? We do need you to have the following: a strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. a willingness to travel occasionally, both overseas and in the UK Whilst not to be considered a tick list, for the senior role in particular, we'd like you to have experience in some of the following: Dynamic experiment design and fielding, ideally working with explosive or hydrodynamic diagnostic technologies, data analysis and assessment Knowledge of the underpinning science related to dynamic material properties, explosives and warhead physics Leading or collaborating with multi-discipline teams Safety management systems and project processes in a highly regulated environment Effectively communicating and engaging with a diverse range of stakeholders You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Trials Scientist Closing Date: 13th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Packages: Junior Physicists (recent graduates): £29,490 - £37,000 (depending on your suitability and level of experience). Plus, role specific allowances. Experienced Physicists (PHD or graduates with post-grad experience): £38,020 - £43,500 (depending on your suitability and level of experience). Plus, role specific allowances. Senior Physicists (experienced physicists with qualifications coupled with experience in industry): £47,860 - £63,000 (depending on your suitability and level of experience). Plus, role specific allowances. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Trials Scientist and Senior Trials Scientist for the Design Physics Group to support Warhead research and Nuclear Threat Reduction programmes This role is ideally suited to an applied physicist who enjoys hands-on experiments and trials with an interest in their design and analysis of results. Working within the Applied Research Projects Team the successful candidate will be required to deliver research trials and experiments of varying complexities, to further the understanding of systems, subsystems, components and materials subject to extreme dynamic conditions. These trials are conducted using explosives in unique facilities and capabilities on and off site, deploying a range of diagnostic techniques. The successful candidate would lead multi-discipline teams through the lifecycle of the trial to ensure they are delivered safely and effectively to meet customer demands. They would be responsible for key design aspects of the trial, and the analysis and assessment of the data as well as assisting with fielding activities. Who are we looking for? We do need you to have the following: a strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. a willingness to travel occasionally, both overseas and in the UK Whilst not to be considered a tick list, for the senior role in particular, we'd like you to have experience in some of the following: Dynamic experiment design and fielding, ideally working with explosive or hydrodynamic diagnostic technologies, data analysis and assessment Knowledge of the underpinning science related to dynamic material properties, explosives and warhead physics Leading or collaborating with multi-discipline teams Safety management systems and project processes in a highly regulated environment Effectively communicating and engaging with a diverse range of stakeholders You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Jun 02, 2025
Full time
Trials Scientist Closing Date: 13th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Packages: Junior Physicists (recent graduates): £29,490 - £37,000 (depending on your suitability and level of experience). Plus, role specific allowances. Experienced Physicists (PHD or graduates with post-grad experience): £38,020 - £43,500 (depending on your suitability and level of experience). Plus, role specific allowances. Senior Physicists (experienced physicists with qualifications coupled with experience in industry): £47,860 - £63,000 (depending on your suitability and level of experience). Plus, role specific allowances. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Trials Scientist and Senior Trials Scientist for the Design Physics Group to support Warhead research and Nuclear Threat Reduction programmes This role is ideally suited to an applied physicist who enjoys hands-on experiments and trials with an interest in their design and analysis of results. Working within the Applied Research Projects Team the successful candidate will be required to deliver research trials and experiments of varying complexities, to further the understanding of systems, subsystems, components and materials subject to extreme dynamic conditions. These trials are conducted using explosives in unique facilities and capabilities on and off site, deploying a range of diagnostic techniques. The successful candidate would lead multi-discipline teams through the lifecycle of the trial to ensure they are delivered safely and effectively to meet customer demands. They would be responsible for key design aspects of the trial, and the analysis and assessment of the data as well as assisting with fielding activities. Who are we looking for? We do need you to have the following: a strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. a willingness to travel occasionally, both overseas and in the UK Whilst not to be considered a tick list, for the senior role in particular, we'd like you to have experience in some of the following: Dynamic experiment design and fielding, ideally working with explosive or hydrodynamic diagnostic technologies, data analysis and assessment Knowledge of the underpinning science related to dynamic material properties, explosives and warhead physics Leading or collaborating with multi-discipline teams Safety management systems and project processes in a highly regulated environment Effectively communicating and engaging with a diverse range of stakeholders You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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.
Jun 02, 2025
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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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.
Jun 02, 2025
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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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.
Trials Scientist Closing Date: 13th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Packages: Junior Physicists (recent graduates): £29,490 - £37,000 (depending on your suitability and level of experience). Plus, role specific allowances. Experienced Physicists (PHD or graduates with post-grad experience): £38,020 - £43,500 (depending on your suitability and level of experience). Plus, role specific allowances. Senior Physicists (experienced physicists with qualifications coupled with experience in industry): £47,860 - £63,000 (depending on your suitability and level of experience). Plus, role specific allowances. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Trials Scientist and Senior Trials Scientist for the Design Physics Group to support Warhead research and Nuclear Threat Reduction programmes This role is ideally suited to an applied physicist who enjoys hands-on experiments and trials with an interest in their design and analysis of results. Working within the Applied Research Projects Team the successful candidate will be required to deliver research trials and experiments of varying complexities, to further the understanding of systems, subsystems, components and materials subject to extreme dynamic conditions. These trials are conducted using explosives in unique facilities and capabilities on and off site, deploying a range of diagnostic techniques. The successful candidate would lead multi-discipline teams through the lifecycle of the trial to ensure they are delivered safely and effectively to meet customer demands. They would be responsible for key design aspects of the trial, and the analysis and assessment of the data as well as assisting with fielding activities. Who are we looking for? We do need you to have the following: a strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. a willingness to travel occasionally, both overseas and in the UK Whilst not to be considered a tick list, for the senior role in particular, we'd like you to have experience in some of the following: Dynamic experiment design and fielding, ideally working with explosive or hydrodynamic diagnostic technologies, data analysis and assessment Knowledge of the underpinning science related to dynamic material properties, explosives and warhead physics Leading or collaborating with multi-discipline teams Safety management systems and project processes in a highly regulated environment Effectively communicating and engaging with a diverse range of stakeholders You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Jun 02, 2025
Full time
Trials Scientist Closing Date: 13th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Packages: Junior Physicists (recent graduates): £29,490 - £37,000 (depending on your suitability and level of experience). Plus, role specific allowances. Experienced Physicists (PHD or graduates with post-grad experience): £38,020 - £43,500 (depending on your suitability and level of experience). Plus, role specific allowances. Senior Physicists (experienced physicists with qualifications coupled with experience in industry): £47,860 - £63,000 (depending on your suitability and level of experience). Plus, role specific allowances. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Trials Scientist and Senior Trials Scientist for the Design Physics Group to support Warhead research and Nuclear Threat Reduction programmes This role is ideally suited to an applied physicist who enjoys hands-on experiments and trials with an interest in their design and analysis of results. Working within the Applied Research Projects Team the successful candidate will be required to deliver research trials and experiments of varying complexities, to further the understanding of systems, subsystems, components and materials subject to extreme dynamic conditions. These trials are conducted using explosives in unique facilities and capabilities on and off site, deploying a range of diagnostic techniques. The successful candidate would lead multi-discipline teams through the lifecycle of the trial to ensure they are delivered safely and effectively to meet customer demands. They would be responsible for key design aspects of the trial, and the analysis and assessment of the data as well as assisting with fielding activities. Who are we looking for? We do need you to have the following: a strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. a willingness to travel occasionally, both overseas and in the UK Whilst not to be considered a tick list, for the senior role in particular, we'd like you to have experience in some of the following: Dynamic experiment design and fielding, ideally working with explosive or hydrodynamic diagnostic technologies, data analysis and assessment Knowledge of the underpinning science related to dynamic material properties, explosives and warhead physics Leading or collaborating with multi-discipline teams Safety management systems and project processes in a highly regulated environment Effectively communicating and engaging with a diverse range of stakeholders You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
AtkinsRéalis is one of the world's most respected design, engineering and project management consultancies, with over 50,000 employees worldwide. At AtkinsRéalis, we offer more than just a job. We offer an opportunity to make a difference and shape the world to benefit future generations and the natural environment. We have a multi-disciplinary Sustainable River Management team within our Water Management Consultancy group who come together to create award winning habitats. The team continues to grow and has now over 45 specialists across the country. We have a reputation for technical excellence, innovation and actively shaping the future of our industry. We are a friendly and approachable team. We enjoy the work we do and have fun while doing it. We are seeking to expand our award-winning Sustainable River Management team. If you are looking to deliver interesting and significant projects, influence environmental outcomes at the project level and beyond, and work within a strong culture of wellbeing, innovation and inclusivity, this is the place for you. We are looking for a well-motivated individual to join our dynamic team and help deliver exciting projects. You should have a background in the environmental sector and experience in one or more of the following disciplines: fluvial geomorphology, hydrology, hydro-ecology, aquatic ecology, wetlands and catchment science. Our team is close-knit, technically progressive and offers a wonderful opportunity for you to work with like-minded specialists. We operate national and international technical networks to develop and share the very best ideas and practice in our industry. We encourage the production of papers/articles and support our staff in presenting their work at conferences.We support staff in their career progression towards chartership and beyond. This is an exceptional environment for you to develop your technical and commercial skills. We value flexible working and encourage working from different offices across the region, flexible hours and home working. We also support part time workers who make up an essential component of our team. The role would preferably be based in our Birmingham, Bristol, Oxford, Manchester or Peterborough offices but you would also work with specialists from our other national office bases as required (including Derby, Epsom, Glasgow, London and Swansea). We work for clients across the UK and overseas, including central government, regulators, water companies, NGOs and local authorities. Responsibilities: To support the delivery of a wide range of catchment science projects with a focus on river and wetland function, Water Framework Directive (WFD) compliance assessments, habitat design, management and restoration; Biodiversity Net Gain; river realignment and environmental assessment/EIA through collaborative working with other AtkinsRéalis' specialists. Liaise with internal and external project teams to deliver the best environmental options. To work effectively as part of a team and with other professionals (environmental scientists, ecologists, engineers, planners to name but a few) throughout AtkinsRéalis, to provide a consistent and integrated service to our clients. To succeed within this role, you must have a flexible, 'hands-on', proactive approach to your work. You must be able to work independently as well as part of a wider team and be comfortable applying your skills in a commercial environment. Required qualifications/skills: A degree in a relevant discipline and a relevant post-graduate qualification is essential (with a focus on Water/Catchment Management/River processes). Experience in undertaking environmental surveys related to river, wetland and catchment systems. A proven ability to undertake, and deliver, a thorough technical investigation. A proven ability to present findings in a well-structured, concise argument (verbal or written), supported by evidence. A proven ability to write reports in concise, plain English appropriate to audiences. The role requires the individual to be numerate, literate and familiar with IT and software appropriate to the tasks undertaken. Desirable qualifications/skills- Experience in GIS, Excel, VBA, Python would be beneficial, but not essential. Enthusiastic in developing new ways of processing, analyzing and presenting temporal and spatial data, eg GIS. Understand the principles behind the Water Framework Directive (WFD) and Biodiversity Net Gain (BNG). MoRPh Pro Accreditation. A valid driving license and availability for travel across the UK and occasionally overseas where appropriate would also be beneficial. The Individual- The candidate should be highly motivated, enthusiastic and proactive; focused on achieving and delivering technical excellence and sustainable outcomes. The individual would need to be skilled at collaborative working, have good interpersonal skills and an ability to communicate effectively. In addition, they would need to be flexible, adaptable and prepared to take on new challenges in a commercial environment. Finally, the candidate would need to have excellent communication, report writing and presentation skills. What we offer? AtkinsRéalis recognizes that there are many well-qualified people who are looking to further their career, but who cannot commit to full time employment. We support flexible working arrangements and welcome discussions on how we can best accommodate individual requirements. As part of this commitment, we understand the need for a diverse and flexible workforce, where a work-life balance is important. AtkinsRéalis, offers flexible working, where there is no fixed 9 'till 5, no need for a 5-day week and no requirement to spend all your working time in the office. Our IT systems support home-working, so where you have parental or carer duties; or you simply need to be elsewhere for a parcel, servicing your car, or waiting in for a tradesperson; AtkinsRéalis will work for you. Similarly, AtkinsRéalis corporate social responsibility provides the opportunity to give something back to the community, and we run professional networks supporting groups such as local schools, charities, parents, those coming out of the armed-forces and women in engineering. Why work for AtkinsRéalis? We're ranked as one of LinkedIn's Top 25 Companies, where UK professionals want to work and stay once, they join. We've also made the Times Top 50 employers for women. Our Infrastructure team uses innovation, new approaches and the power of data to help our clients deliver end-to-end projects and programmes for essential future infrastructure. And as the work becomes ever more complex, our employees continue to challenge the status quo. We're committed to engineering better for people and our planet, from our global Engineering Net-Zero programme to creating social value through EDAROTH community housing. We're proud of our active employee networks creating awareness and allyship for our under-represented groups. Not to mention programmes supporting communities outside AtkinsRéalis, including schools, charities, ex-forces and professionals returning after career breaks. Security clearance: This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to promoting a diverse and inclusive community - a place where we can all be ourselves, thrive and develop. To help embed inclusion for all, from day one, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee networks to support staff from different backgrounds. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability.
Jun 02, 2025
Full time
AtkinsRéalis is one of the world's most respected design, engineering and project management consultancies, with over 50,000 employees worldwide. At AtkinsRéalis, we offer more than just a job. We offer an opportunity to make a difference and shape the world to benefit future generations and the natural environment. We have a multi-disciplinary Sustainable River Management team within our Water Management Consultancy group who come together to create award winning habitats. The team continues to grow and has now over 45 specialists across the country. We have a reputation for technical excellence, innovation and actively shaping the future of our industry. We are a friendly and approachable team. We enjoy the work we do and have fun while doing it. We are seeking to expand our award-winning Sustainable River Management team. If you are looking to deliver interesting and significant projects, influence environmental outcomes at the project level and beyond, and work within a strong culture of wellbeing, innovation and inclusivity, this is the place for you. We are looking for a well-motivated individual to join our dynamic team and help deliver exciting projects. You should have a background in the environmental sector and experience in one or more of the following disciplines: fluvial geomorphology, hydrology, hydro-ecology, aquatic ecology, wetlands and catchment science. Our team is close-knit, technically progressive and offers a wonderful opportunity for you to work with like-minded specialists. We operate national and international technical networks to develop and share the very best ideas and practice in our industry. We encourage the production of papers/articles and support our staff in presenting their work at conferences.We support staff in their career progression towards chartership and beyond. This is an exceptional environment for you to develop your technical and commercial skills. We value flexible working and encourage working from different offices across the region, flexible hours and home working. We also support part time workers who make up an essential component of our team. The role would preferably be based in our Birmingham, Bristol, Oxford, Manchester or Peterborough offices but you would also work with specialists from our other national office bases as required (including Derby, Epsom, Glasgow, London and Swansea). We work for clients across the UK and overseas, including central government, regulators, water companies, NGOs and local authorities. Responsibilities: To support the delivery of a wide range of catchment science projects with a focus on river and wetland function, Water Framework Directive (WFD) compliance assessments, habitat design, management and restoration; Biodiversity Net Gain; river realignment and environmental assessment/EIA through collaborative working with other AtkinsRéalis' specialists. Liaise with internal and external project teams to deliver the best environmental options. To work effectively as part of a team and with other professionals (environmental scientists, ecologists, engineers, planners to name but a few) throughout AtkinsRéalis, to provide a consistent and integrated service to our clients. To succeed within this role, you must have a flexible, 'hands-on', proactive approach to your work. You must be able to work independently as well as part of a wider team and be comfortable applying your skills in a commercial environment. Required qualifications/skills: A degree in a relevant discipline and a relevant post-graduate qualification is essential (with a focus on Water/Catchment Management/River processes). Experience in undertaking environmental surveys related to river, wetland and catchment systems. A proven ability to undertake, and deliver, a thorough technical investigation. A proven ability to present findings in a well-structured, concise argument (verbal or written), supported by evidence. A proven ability to write reports in concise, plain English appropriate to audiences. The role requires the individual to be numerate, literate and familiar with IT and software appropriate to the tasks undertaken. Desirable qualifications/skills- Experience in GIS, Excel, VBA, Python would be beneficial, but not essential. Enthusiastic in developing new ways of processing, analyzing and presenting temporal and spatial data, eg GIS. Understand the principles behind the Water Framework Directive (WFD) and Biodiversity Net Gain (BNG). MoRPh Pro Accreditation. A valid driving license and availability for travel across the UK and occasionally overseas where appropriate would also be beneficial. The Individual- The candidate should be highly motivated, enthusiastic and proactive; focused on achieving and delivering technical excellence and sustainable outcomes. The individual would need to be skilled at collaborative working, have good interpersonal skills and an ability to communicate effectively. In addition, they would need to be flexible, adaptable and prepared to take on new challenges in a commercial environment. Finally, the candidate would need to have excellent communication, report writing and presentation skills. What we offer? AtkinsRéalis recognizes that there are many well-qualified people who are looking to further their career, but who cannot commit to full time employment. We support flexible working arrangements and welcome discussions on how we can best accommodate individual requirements. As part of this commitment, we understand the need for a diverse and flexible workforce, where a work-life balance is important. AtkinsRéalis, offers flexible working, where there is no fixed 9 'till 5, no need for a 5-day week and no requirement to spend all your working time in the office. Our IT systems support home-working, so where you have parental or carer duties; or you simply need to be elsewhere for a parcel, servicing your car, or waiting in for a tradesperson; AtkinsRéalis will work for you. Similarly, AtkinsRéalis corporate social responsibility provides the opportunity to give something back to the community, and we run professional networks supporting groups such as local schools, charities, parents, those coming out of the armed-forces and women in engineering. Why work for AtkinsRéalis? We're ranked as one of LinkedIn's Top 25 Companies, where UK professionals want to work and stay once, they join. We've also made the Times Top 50 employers for women. Our Infrastructure team uses innovation, new approaches and the power of data to help our clients deliver end-to-end projects and programmes for essential future infrastructure. And as the work becomes ever more complex, our employees continue to challenge the status quo. We're committed to engineering better for people and our planet, from our global Engineering Net-Zero programme to creating social value through EDAROTH community housing. We're proud of our active employee networks creating awareness and allyship for our under-represented groups. Not to mention programmes supporting communities outside AtkinsRéalis, including schools, charities, ex-forces and professionals returning after career breaks. Security clearance: This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to promoting a diverse and inclusive community - a place where we can all be ourselves, thrive and develop. To help embed inclusion for all, from day one, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee networks to support staff from different backgrounds. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability.
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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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.
Jun 02, 2025
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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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.
Jun 02, 2025
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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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.
Jun 02, 2025
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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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.
Trials Scientist Closing Date: 13th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Packages: Junior Physicists (recent graduates): £29,490 - £37,000 (depending on your suitability and level of experience). Plus, role specific allowances. Experienced Physicists (PHD or graduates with post-grad experience): £38,020 - £43,500 (depending on your suitability and level of experience). Plus, role specific allowances. Senior Physicists (experienced physicists with qualifications coupled with experience in industry): £47,860 - £63,000 (depending on your suitability and level of experience). Plus, role specific allowances. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Trials Scientist and Senior Trials Scientist for the Design Physics Group to support Warhead research and Nuclear Threat Reduction programmes This role is ideally suited to an applied physicist who enjoys hands-on experiments and trials with an interest in their design and analysis of results. Working within the Applied Research Projects Team the successful candidate will be required to deliver research trials and experiments of varying complexities, to further the understanding of systems, subsystems, components and materials subject to extreme dynamic conditions. These trials are conducted using explosives in unique facilities and capabilities on and off site, deploying a range of diagnostic techniques. The successful candidate would lead multi-discipline teams through the lifecycle of the trial to ensure they are delivered safely and effectively to meet customer demands. They would be responsible for key design aspects of the trial, and the analysis and assessment of the data as well as assisting with fielding activities. Who are we looking for? We do need you to have the following: a strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. a willingness to travel occasionally, both overseas and in the UK Whilst not to be considered a tick list, for the senior role in particular, we'd like you to have experience in some of the following: Dynamic experiment design and fielding, ideally working with explosive or hydrodynamic diagnostic technologies, data analysis and assessment Knowledge of the underpinning science related to dynamic material properties, explosives and warhead physics Leading or collaborating with multi-discipline teams Safety management systems and project processes in a highly regulated environment Effectively communicating and engaging with a diverse range of stakeholders You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Jun 02, 2025
Full time
Trials Scientist Closing Date: 13th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Packages: Junior Physicists (recent graduates): £29,490 - £37,000 (depending on your suitability and level of experience). Plus, role specific allowances. Experienced Physicists (PHD or graduates with post-grad experience): £38,020 - £43,500 (depending on your suitability and level of experience). Plus, role specific allowances. Senior Physicists (experienced physicists with qualifications coupled with experience in industry): £47,860 - £63,000 (depending on your suitability and level of experience). Plus, role specific allowances. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Trials Scientist and Senior Trials Scientist for the Design Physics Group to support Warhead research and Nuclear Threat Reduction programmes This role is ideally suited to an applied physicist who enjoys hands-on experiments and trials with an interest in their design and analysis of results. Working within the Applied Research Projects Team the successful candidate will be required to deliver research trials and experiments of varying complexities, to further the understanding of systems, subsystems, components and materials subject to extreme dynamic conditions. These trials are conducted using explosives in unique facilities and capabilities on and off site, deploying a range of diagnostic techniques. The successful candidate would lead multi-discipline teams through the lifecycle of the trial to ensure they are delivered safely and effectively to meet customer demands. They would be responsible for key design aspects of the trial, and the analysis and assessment of the data as well as assisting with fielding activities. Who are we looking for? We do need you to have the following: a strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. a willingness to travel occasionally, both overseas and in the UK Whilst not to be considered a tick list, for the senior role in particular, we'd like you to have experience in some of the following: Dynamic experiment design and fielding, ideally working with explosive or hydrodynamic diagnostic technologies, data analysis and assessment Knowledge of the underpinning science related to dynamic material properties, explosives and warhead physics Leading or collaborating with multi-discipline teams Safety management systems and project processes in a highly regulated environment Effectively communicating and engaging with a diverse range of stakeholders You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Trials Scientist Closing Date: 13th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Packages: Junior Physicists (recent graduates): £29,490 - £37,000 (depending on your suitability and level of experience). Plus, role specific allowances. Experienced Physicists (PHD or graduates with post-grad experience): £38,020 - £43,500 (depending on your suitability and level of experience). Plus, role specific allowances. Senior Physicists (experienced physicists with qualifications coupled with experience in industry): £47,860 - £63,000 (depending on your suitability and level of experience). Plus, role specific allowances. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Trials Scientist and Senior Trials Scientist for the Design Physics Group to support Warhead research and Nuclear Threat Reduction programmes This role is ideally suited to an applied physicist who enjoys hands-on experiments and trials with an interest in their design and analysis of results. Working within the Applied Research Projects Team the successful candidate will be required to deliver research trials and experiments of varying complexities, to further the understanding of systems, subsystems, components and materials subject to extreme dynamic conditions. These trials are conducted using explosives in unique facilities and capabilities on and off site, deploying a range of diagnostic techniques. The successful candidate would lead multi-discipline teams through the lifecycle of the trial to ensure they are delivered safely and effectively to meet customer demands. They would be responsible for key design aspects of the trial, and the analysis and assessment of the data as well as assisting with fielding activities. Who are we looking for? We do need you to have the following: a strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. a willingness to travel occasionally, both overseas and in the UK Whilst not to be considered a tick list, for the senior role in particular, we'd like you to have experience in some of the following: Dynamic experiment design and fielding, ideally working with explosive or hydrodynamic diagnostic technologies, data analysis and assessment Knowledge of the underpinning science related to dynamic material properties, explosives and warhead physics Leading or collaborating with multi-discipline teams Safety management systems and project processes in a highly regulated environment Effectively communicating and engaging with a diverse range of stakeholders You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Jun 02, 2025
Full time
Trials Scientist Closing Date: 13th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Packages: Junior Physicists (recent graduates): £29,490 - £37,000 (depending on your suitability and level of experience). Plus, role specific allowances. Experienced Physicists (PHD or graduates with post-grad experience): £38,020 - £43,500 (depending on your suitability and level of experience). Plus, role specific allowances. Senior Physicists (experienced physicists with qualifications coupled with experience in industry): £47,860 - £63,000 (depending on your suitability and level of experience). Plus, role specific allowances. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Trials Scientist and Senior Trials Scientist for the Design Physics Group to support Warhead research and Nuclear Threat Reduction programmes This role is ideally suited to an applied physicist who enjoys hands-on experiments and trials with an interest in their design and analysis of results. Working within the Applied Research Projects Team the successful candidate will be required to deliver research trials and experiments of varying complexities, to further the understanding of systems, subsystems, components and materials subject to extreme dynamic conditions. These trials are conducted using explosives in unique facilities and capabilities on and off site, deploying a range of diagnostic techniques. The successful candidate would lead multi-discipline teams through the lifecycle of the trial to ensure they are delivered safely and effectively to meet customer demands. They would be responsible for key design aspects of the trial, and the analysis and assessment of the data as well as assisting with fielding activities. Who are we looking for? We do need you to have the following: a strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. a willingness to travel occasionally, both overseas and in the UK Whilst not to be considered a tick list, for the senior role in particular, we'd like you to have experience in some of the following: Dynamic experiment design and fielding, ideally working with explosive or hydrodynamic diagnostic technologies, data analysis and assessment Knowledge of the underpinning science related to dynamic material properties, explosives and warhead physics Leading or collaborating with multi-discipline teams Safety management systems and project processes in a highly regulated environment Effectively communicating and engaging with a diverse range of stakeholders You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Trials Scientist Closing Date: 13th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Packages: Junior Physicists (recent graduates): £29,490 - £37,000 (depending on your suitability and level of experience). Plus, role specific allowances. Experienced Physicists (PHD or graduates with post-grad experience): £38,020 - £43,500 (depending on your suitability and level of experience). Plus, role specific allowances. Senior Physicists (experienced physicists with qualifications coupled with experience in industry): £47,860 - £63,000 (depending on your suitability and level of experience). Plus, role specific allowances. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Trials Scientist and Senior Trials Scientist for the Design Physics Group to support Warhead research and Nuclear Threat Reduction programmes This role is ideally suited to an applied physicist who enjoys hands-on experiments and trials with an interest in their design and analysis of results. Working within the Applied Research Projects Team the successful candidate will be required to deliver research trials and experiments of varying complexities, to further the understanding of systems, subsystems, components and materials subject to extreme dynamic conditions. These trials are conducted using explosives in unique facilities and capabilities on and off site, deploying a range of diagnostic techniques. The successful candidate would lead multi-discipline teams through the lifecycle of the trial to ensure they are delivered safely and effectively to meet customer demands. They would be responsible for key design aspects of the trial, and the analysis and assessment of the data as well as assisting with fielding activities. Who are we looking for? We do need you to have the following: a strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. a willingness to travel occasionally, both overseas and in the UK Whilst not to be considered a tick list, for the senior role in particular, we'd like you to have experience in some of the following: Dynamic experiment design and fielding, ideally working with explosive or hydrodynamic diagnostic technologies, data analysis and assessment Knowledge of the underpinning science related to dynamic material properties, explosives and warhead physics Leading or collaborating with multi-discipline teams Safety management systems and project processes in a highly regulated environment Effectively communicating and engaging with a diverse range of stakeholders You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Jun 02, 2025
Full time
Trials Scientist Closing Date: 13th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Packages: Junior Physicists (recent graduates): £29,490 - £37,000 (depending on your suitability and level of experience). Plus, role specific allowances. Experienced Physicists (PHD or graduates with post-grad experience): £38,020 - £43,500 (depending on your suitability and level of experience). Plus, role specific allowances. Senior Physicists (experienced physicists with qualifications coupled with experience in industry): £47,860 - £63,000 (depending on your suitability and level of experience). Plus, role specific allowances. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Trials Scientist and Senior Trials Scientist for the Design Physics Group to support Warhead research and Nuclear Threat Reduction programmes This role is ideally suited to an applied physicist who enjoys hands-on experiments and trials with an interest in their design and analysis of results. Working within the Applied Research Projects Team the successful candidate will be required to deliver research trials and experiments of varying complexities, to further the understanding of systems, subsystems, components and materials subject to extreme dynamic conditions. These trials are conducted using explosives in unique facilities and capabilities on and off site, deploying a range of diagnostic techniques. The successful candidate would lead multi-discipline teams through the lifecycle of the trial to ensure they are delivered safely and effectively to meet customer demands. They would be responsible for key design aspects of the trial, and the analysis and assessment of the data as well as assisting with fielding activities. Who are we looking for? We do need you to have the following: a strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. a willingness to travel occasionally, both overseas and in the UK Whilst not to be considered a tick list, for the senior role in particular, we'd like you to have experience in some of the following: Dynamic experiment design and fielding, ideally working with explosive or hydrodynamic diagnostic technologies, data analysis and assessment Knowledge of the underpinning science related to dynamic material properties, explosives and warhead physics Leading or collaborating with multi-discipline teams Safety management systems and project processes in a highly regulated environment Effectively communicating and engaging with a diverse range of stakeholders You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Trials Scientist Closing Date: 13th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Packages: Junior Physicists (recent graduates): £29,490 - £37,000 (depending on your suitability and level of experience). Plus, role specific allowances. Experienced Physicists (PHD or graduates with post-grad experience): £38,020 - £43,500 (depending on your suitability and level of experience). Plus, role specific allowances. Senior Physicists (experienced physicists with qualifications coupled with experience in industry): £47,860 - £63,000 (depending on your suitability and level of experience). Plus, role specific allowances. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Trials Scientist and Senior Trials Scientist for the Design Physics Group to support Warhead research and Nuclear Threat Reduction programmes This role is ideally suited to an applied physicist who enjoys hands-on experiments and trials with an interest in their design and analysis of results. Working within the Applied Research Projects Team the successful candidate will be required to deliver research trials and experiments of varying complexities, to further the understanding of systems, subsystems, components and materials subject to extreme dynamic conditions. These trials are conducted using explosives in unique facilities and capabilities on and off site, deploying a range of diagnostic techniques. The successful candidate would lead multi-discipline teams through the lifecycle of the trial to ensure they are delivered safely and effectively to meet customer demands. They would be responsible for key design aspects of the trial, and the analysis and assessment of the data as well as assisting with fielding activities. Who are we looking for? We do need you to have the following: a strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. a willingness to travel occasionally, both overseas and in the UK Whilst not to be considered a tick list, for the senior role in particular, we'd like you to have experience in some of the following: Dynamic experiment design and fielding, ideally working with explosive or hydrodynamic diagnostic technologies, data analysis and assessment Knowledge of the underpinning science related to dynamic material properties, explosives and warhead physics Leading or collaborating with multi-discipline teams Safety management systems and project processes in a highly regulated environment Effectively communicating and engaging with a diverse range of stakeholders You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Jun 02, 2025
Full time
Trials Scientist Closing Date: 13th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Packages: Junior Physicists (recent graduates): £29,490 - £37,000 (depending on your suitability and level of experience). Plus, role specific allowances. Experienced Physicists (PHD or graduates with post-grad experience): £38,020 - £43,500 (depending on your suitability and level of experience). Plus, role specific allowances. Senior Physicists (experienced physicists with qualifications coupled with experience in industry): £47,860 - £63,000 (depending on your suitability and level of experience). Plus, role specific allowances. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Trials Scientist and Senior Trials Scientist for the Design Physics Group to support Warhead research and Nuclear Threat Reduction programmes This role is ideally suited to an applied physicist who enjoys hands-on experiments and trials with an interest in their design and analysis of results. Working within the Applied Research Projects Team the successful candidate will be required to deliver research trials and experiments of varying complexities, to further the understanding of systems, subsystems, components and materials subject to extreme dynamic conditions. These trials are conducted using explosives in unique facilities and capabilities on and off site, deploying a range of diagnostic techniques. The successful candidate would lead multi-discipline teams through the lifecycle of the trial to ensure they are delivered safely and effectively to meet customer demands. They would be responsible for key design aspects of the trial, and the analysis and assessment of the data as well as assisting with fielding activities. Who are we looking for? We do need you to have the following: a strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. a willingness to travel occasionally, both overseas and in the UK Whilst not to be considered a tick list, for the senior role in particular, we'd like you to have experience in some of the following: Dynamic experiment design and fielding, ideally working with explosive or hydrodynamic diagnostic technologies, data analysis and assessment Knowledge of the underpinning science related to dynamic material properties, explosives and warhead physics Leading or collaborating with multi-discipline teams Safety management systems and project processes in a highly regulated environment Effectively communicating and engaging with a diverse range of stakeholders You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Senior Seismoacoustic Scientist Location: RG7 4RS , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Blacknest. Package: £46,130 - £65,000, (depending on your suitability, qualifications, and level of experience). Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role We are looking to recruit a Senior Seismoacoustic Scientist to work on the Nuclear Treaty Verification programme , supporting AWE's national nuclear security role. Since May 1962, the Eskdalemuir (EKA) seismic array has been in operation, providing AWE with a near-complete library of seismograms from the entire period of underground testing. As part of a team advising the UK Government on the technical verification of the Comprehensive Nuclear-Test-Ban Treaty (CTBT) , you will analyse data and carry out research to ensure our monitoring facilities are protected from seismic noise, balancing technical work, stakeholders, policy development and legal challenges, in addition to gaining a broad understanding of the wider context in which we operate. Main duties and responsibilities: Enhance our capability to assess CTBT relevant events through safeguarding our monitoring facilities Provide technical expertise including assessment and modelling of data, to develop the scientific and engineering evidence to support policy development Prepare and present professional-quality presentations and technical reports to technical peers, management and external stakeholders Participate in national and international collaborative work Who are we looking for? Whilst not to be considered a tick list, we'd like you to have experience in some of the following: A first degree or higher in a physical or mathematical science, or engineering (or equivalent experience) Experience of monitoring of low frequency noise and vibration Extensive experience of technical projects and delivery Strongly numerate with a strong analytical background Understanding of generation of seismoacoustic signals from vibrating structures Experience of signal processing and modelling, including the interpretation and manipulation of Power Spectral Density estimates and frequency analysis. Experience of managing and analysing large data sets Knowledge of one or more computer programming or scripting languages and demonstrate the ability to implement your own algorithms Able to work independently and unsupervised, as well as within a team to achieve common goals Ability to communicate clearly and effectively verbally and in writing, including dealing with stakeholder challenges Knowledge of source and propagation terms, including attenuation We are keen to hear from highly motivated individuals with excellent time-management, communication and presentation skills. You will also be comfortable working in diverse teams with differing technical skills and backgrounds. Some UK and or overseas travel may be involved. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. Relocation Assistance (terms & conditions apply). The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Jun 02, 2025
Full time
Senior Seismoacoustic Scientist Location: RG7 4RS , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Blacknest. Package: £46,130 - £65,000, (depending on your suitability, qualifications, and level of experience). Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role We are looking to recruit a Senior Seismoacoustic Scientist to work on the Nuclear Treaty Verification programme , supporting AWE's national nuclear security role. Since May 1962, the Eskdalemuir (EKA) seismic array has been in operation, providing AWE with a near-complete library of seismograms from the entire period of underground testing. As part of a team advising the UK Government on the technical verification of the Comprehensive Nuclear-Test-Ban Treaty (CTBT) , you will analyse data and carry out research to ensure our monitoring facilities are protected from seismic noise, balancing technical work, stakeholders, policy development and legal challenges, in addition to gaining a broad understanding of the wider context in which we operate. Main duties and responsibilities: Enhance our capability to assess CTBT relevant events through safeguarding our monitoring facilities Provide technical expertise including assessment and modelling of data, to develop the scientific and engineering evidence to support policy development Prepare and present professional-quality presentations and technical reports to technical peers, management and external stakeholders Participate in national and international collaborative work Who are we looking for? Whilst not to be considered a tick list, we'd like you to have experience in some of the following: A first degree or higher in a physical or mathematical science, or engineering (or equivalent experience) Experience of monitoring of low frequency noise and vibration Extensive experience of technical projects and delivery Strongly numerate with a strong analytical background Understanding of generation of seismoacoustic signals from vibrating structures Experience of signal processing and modelling, including the interpretation and manipulation of Power Spectral Density estimates and frequency analysis. Experience of managing and analysing large data sets Knowledge of one or more computer programming or scripting languages and demonstrate the ability to implement your own algorithms Able to work independently and unsupervised, as well as within a team to achieve common goals Ability to communicate clearly and effectively verbally and in writing, including dealing with stakeholder challenges Knowledge of source and propagation terms, including attenuation We are keen to hear from highly motivated individuals with excellent time-management, communication and presentation skills. You will also be comfortable working in diverse teams with differing technical skills and backgrounds. Some UK and or overseas travel may be involved. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. Relocation Assistance (terms & conditions apply). The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Trials Scientist Closing Date: 13th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Packages: Junior Physicists (recent graduates): £29,490 - £37,000 (depending on your suitability and level of experience). Plus, role specific allowances. Experienced Physicists (PHD or graduates with post-grad experience): £38,020 - £43,500 (depending on your suitability and level of experience). Plus, role specific allowances. Senior Physicists (experienced physicists with qualifications coupled with experience in industry): £47,860 - £63,000 (depending on your suitability and level of experience). Plus, role specific allowances. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Trials Scientist and Senior Trials Scientist for the Design Physics Group to support Warhead research and Nuclear Threat Reduction programmes This role is ideally suited to an applied physicist who enjoys hands-on experiments and trials with an interest in their design and analysis of results. Working within the Applied Research Projects Team the successful candidate will be required to deliver research trials and experiments of varying complexities, to further the understanding of systems, subsystems, components and materials subject to extreme dynamic conditions. These trials are conducted using explosives in unique facilities and capabilities on and off site, deploying a range of diagnostic techniques. The successful candidate would lead multi-discipline teams through the lifecycle of the trial to ensure they are delivered safely and effectively to meet customer demands. They would be responsible for key design aspects of the trial, and the analysis and assessment of the data as well as assisting with fielding activities. Who are we looking for? We do need you to have the following: a strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. a willingness to travel occasionally, both overseas and in the UK Whilst not to be considered a tick list, for the senior role in particular, we'd like you to have experience in some of the following: Dynamic experiment design and fielding, ideally working with explosive or hydrodynamic diagnostic technologies, data analysis and assessment Knowledge of the underpinning science related to dynamic material properties, explosives and warhead physics Leading or collaborating with multi-discipline teams Safety management systems and project processes in a highly regulated environment Effectively communicating and engaging with a diverse range of stakeholders You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Jun 02, 2025
Full time
Trials Scientist Closing Date: 13th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Packages: Junior Physicists (recent graduates): £29,490 - £37,000 (depending on your suitability and level of experience). Plus, role specific allowances. Experienced Physicists (PHD or graduates with post-grad experience): £38,020 - £43,500 (depending on your suitability and level of experience). Plus, role specific allowances. Senior Physicists (experienced physicists with qualifications coupled with experience in industry): £47,860 - £63,000 (depending on your suitability and level of experience). Plus, role specific allowances. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Trials Scientist and Senior Trials Scientist for the Design Physics Group to support Warhead research and Nuclear Threat Reduction programmes This role is ideally suited to an applied physicist who enjoys hands-on experiments and trials with an interest in their design and analysis of results. Working within the Applied Research Projects Team the successful candidate will be required to deliver research trials and experiments of varying complexities, to further the understanding of systems, subsystems, components and materials subject to extreme dynamic conditions. These trials are conducted using explosives in unique facilities and capabilities on and off site, deploying a range of diagnostic techniques. The successful candidate would lead multi-discipline teams through the lifecycle of the trial to ensure they are delivered safely and effectively to meet customer demands. They would be responsible for key design aspects of the trial, and the analysis and assessment of the data as well as assisting with fielding activities. Who are we looking for? We do need you to have the following: a strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. a willingness to travel occasionally, both overseas and in the UK Whilst not to be considered a tick list, for the senior role in particular, we'd like you to have experience in some of the following: Dynamic experiment design and fielding, ideally working with explosive or hydrodynamic diagnostic technologies, data analysis and assessment Knowledge of the underpinning science related to dynamic material properties, explosives and warhead physics Leading or collaborating with multi-discipline teams Safety management systems and project processes in a highly regulated environment Effectively communicating and engaging with a diverse range of stakeholders You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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.
Jun 02, 2025
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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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.
Jun 02, 2025
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. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. What you'll do: Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards. Analyses user requirements to determine feasibility of design within time and cost constraints. Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects. Develops technical specifications based on user requirements. Troubleshoots existing code issues as needed. Monitors system performance metrics in order to identify areas for improvement. Provides technical guidance and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions). Solid knowledge on machine learning theory from both classic approaches to state of art Strong experience on building in-house model and solution for customer-facing product Strong experience on building large scale machine learning solution to tens of million users. Evidence on customer or business impacts from the products the candidate built. Strong product development skills, end-to-end Strong analytical mind, impact measurable Good and confident communicator Good team player, tech leader, and individual contributor Super creative mind of thinking and be capable of creating products from ideas Restless attitude and a drive to always make things better and quicker. Passion for technology and a fast pace of delivery Experience working with CI/CD in an agile team Strong positive attitude towards both success and failure Big Plus: PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients / devices Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. 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.
