1221 jobs found

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. As a Senior Developer, you will design, build, and scale an AI Operations platform supporting Sky and NBCUniversal. You will focus on alert ingestion, correlation, and intelligent automation using full-stack development, machine learning, and Generative AI (GenAI). For this role we offer the hybrid working approach with 2 days a week onsite in Osterley/Leeds office. What you'll do Design, build and maintain full-stack software solutions using Golang and Python, spanning services, APIs and automation components Contribute to the architecture and evolution of Sky's AI Operations platform, shaping intelligent automation and large-scale operational workflows Develop and operate cloud-native systems on AWS, including automated testing frameworks, CI/CD pipelines and environment validation Build reliable alerting, correlation and automation capabilities that support high-scale streaming and live service environments Produce high-quality technical documentation, covering design decisions, configuration, deployment processes and operational runbooks Collaborate closely with engineers, product teams and operational stakeholders to deliver robust, scalable and observable systems Troubleshoot complex distributed systems, identifying root causes and driving continuous improvement across the platform Mentor engineers through code reviews, design discussions and technical guidance, supporting a culture of engineering excellence What you'll bring Strong experience in software engineering within cloud or platform environments, ideally with exposure to IaC, observability and automation tooling Proficiency with Golang and/or Python, alongside experience building APIs, backend services and distributed systems Solid understanding of data technologies such as MongoDB or Postgres, including schema design, optimisation and operational considerations Experience applying AI, ML or algorithmic techniques within software platforms, automation pipelines or operational tooling Strong knowledge of RESTful API design, integration patterns and modern automation approaches (including low-code/no-code tools) Ability to create and maintain clear technical documentation and architectural artefacts, supporting knowledge-sharing and change management A track record of solving complex engineering challenges, introducing innovative ideas and influencing technical direction within a team or platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if , how far, and what next . But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.

Service Engineer - UK Wide Job Overview: As a Service Engineer, you will be responsible for providing technical support, maintenance, and repair services on machinery. You will ensure customer satisfaction through timely and efficient service, troubleshooting, and technical advice, ensuring all work complies with company standards and safety regulations. Key Responsibilities: Conduct on-site and workshop repairs, diagnostics, and maintenance on equipment.Install, commission, and test new machinery at customer sites.Provide technical support and advice to customers and colleagues.Carry out routine inspections and preventative maintenance.Complete all service reports, inspections, and documentation accurately and promptly.Adhere to health and safety regulations and promote safe working practices.Maintain and calibrate tools and equipment.Support the training of customers and internal staff on equipment operation and maintenance.Identify potential areas for service improvement and communicate feedback. Qualifications & Experience: Proven experience as a Service Engineer or similar role, preferably in Material Handling or Construction Equipment.Technical qualification in Engineering, Mechanical, Electrical, or relevant field (e.g., NVQ, City & Guilds, HNC/HND).Knowledge of hydraulic, electrical, and mechanical systems.Valid driver's license and willingness to travel as required.Good problem-solving skills and technical aptitude.Strong communication skills and customer-focused approach. Skills & Competencies: Strong technical knowledge of machinery or similar equipment.Ability to diagnose and resolve technical faults efficiently.Excellent organizational and time-management skills.Ability to work independently and as part of a team.Commitment to health and safety regulations.Willingness to undertake ongoing training and development. Working Conditions: Field-based, involving travel to customer sites.Workshop-based work as needed.Flexible hours to meet customer requirements. Additional Information: Competitive salary and benefits package.Opportunities for career development and training.Company vehicle provided.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.

Sheet Metal Workers / Welders £33,550 - £39,000 per annum 10% Employer Pension Contribution 27 days holiday (+ Bank Holidays ) Day s role! Lancashire Are you an experienced Sheet Metal Worker / Welder with experience in manufacturing or engineering? Are you seeking a new role that matches your career development and aspirations? Well, read on My client has secured several major aerospace projects and have an orderbook bursting at the seams They are urgently looking to recruit welders within their engineering department. (This is days roles are 07 00, Monday to Friday). Role Profile As an experienced Sheet Metal Worker / Welder, this is a hands-on position responsible for the welding of aviation components. Working to tight tolerances, this position will primarily work on productionised components but should also have the flexibility to work on new product introduction. Key Accountabilities and Responsibilities As an experienced Sheet Metal Worker / Welder, you will have: Experience in fitting small diameter tubes for Orbital welding to precise tolerances. Trade qualified with a recognised apprenticeship (City and Guilds etc.) Undertake TIG welding (manual, automatic and Orbital) to aircraft standards to fall in line with welding controls and processes. Read and interpret Engineering drawings. Read, interpret and follow batch cards ensuring that batch card discipline is adhered to at all times. General maintenance of machinery, jigs and fixtures is required to ensure a clean and healthy working environment. Working alongside the Operational team, reduce welding non-conformances and work to best practices. Assist with corrective actions and assist with route cause analysis to prevent issues from re-occurring. Support business improvement initiatives. Person Specification As an experienced Sheet Metal Worker / Welder, you will have: Good knowledge of fusion welding, with at least five years experience working in the Aviation sector. Experience of working with a variety of materials including exotic metals such as Nickel and Titanium based alloys. Ability to work within in Team environment. Ability to work on own initiative or as part of a wider team. Ability to read, understand and work towards engineering drawings. Ability to communicate in an effective manner at different levels within the organisation. The Offer The client offers the Sheet Metal Workers / Welders a competitive base salary of £33,550, plus overtime at time and a half, company pension, life assurance and private medical cover

Our client Our client is a well-established high volume manufacturer in the North East, operating within a fast-moving production environment. A values-led business with a clear ambition to modernise its operations in a considered and structured way. The organisation is currently investing in its manufacturing capability, systems and infrastructure to support future growth. Projects are high profile, with a strong focus on safety, return on investment and long-term operational robustness. The culture is collaborative, people-focused and pragmatic, with early engagement of operators and stakeholders seen as critical to success. The opportunity This Project Engineer role, created due to promotion, offers the chance to play a key part in the delivery of capital and engineering projects across a complex manufacturing operation. Working within a small, agile project team, you will take ownership of end-to-end project delivery, from initial concept through to installation, commissioning and handover. The role is broad and hands-on, covering equipment upgrades, new machinery installation, line reconfiguration, factory fit-outs and supporting infrastructure. You will act as the technical authority within projects, translating business and operator needs into practical engineering solutions, while operating within an increasingly structured project governance framework. Key responsibilities include: Leading capital engineering projects from concept through to completion Managing budgets, timelines, contractors and suppliers Overseeing equipment installation, relocation and validation Ensuring compliance with health & safety, regulatory and quality standards Producing technical documentation, risk assessments and project updates Working closely with manufacturing, engineering and production teams to minimise disruption Supporting continuous improvement, automation and efficiency initiatives This role will suit someone who enjoys variety, visibility and autonomy, and who is comfortable balancing structured project discipline with practical, common-sense delivery. About you You will be an experienced Project Engineer with a strong technical foundation, ideally gained within a high-volume manufacturing environment. You combine sound engineering judgement with a collaborative, delivery-focused mindset and are comfortable working directly on the shop floor as well as with senior stakeholders. We are looking for: Proven experience delivering capital engineering projects in manufacturing Strong mechanical/ electrical engineering knowledge Experience with machinery installation, factory fit-outs or infrastructure projects Good understanding of health & safety, risk assessment and compliance Ability to translate operator and business requirements into technical solutions Strong communication skills and stakeholder credibility at all levels A hands-on, pragmatic approach with a continuous improvement mindset Minimum HNC/HND in Engineering (or equivalent experience) If you're a Project Engineer looking for a role with real ownership, visibility and the opportunity to shape how projects are delivered within a growing manufacturing business, we'd love to hear from you. Apply now or get in touch to find out more about this opportunity.

Job Role: Manufacturing Engineer Location: Leicester Salary: 45,000 - 58,000 per annum (depending on experience) Metalis are working with an Aerospace manufacturer who are looking for 2x Manufacturing Engineers to join their team. Job Duties: Attend Daily Operations meetings and resolve problems assigned to the ME function Understand value stream constraints and participate in problem-solving to improve flow Create, update, and maintain manufacturing documentation (e.g. set-up packs, drawings, work instructions, SOPs) Manage NPDI process milestones, completing all required ME tasks (e.g., cost estimates, stage drawings, manufacturing routes, approvals) Ensure tooling and fixtures are designed, manufactured, and available for safe and efficient production Use engineering software to create and validate CNC programs that meet quality and cycle time requirements Support continuous improvement through LEAN/GEMBA events and generate ideas to enhance EHS, quality, cost and delivery Apply problem-solving methods to identify root causes and improve process and quality performance Participate in problem-solving peer reviews and training to strengthen organizational problem-solving culture Implement or manage problem solutions, including working with suppliers/customers, testing technologies, and completing PFMEA activities Engage in internal and external audits and address gaps by implementing corrective actions Job Requirements: 5 years' experience in the Aerospace/Automotive industry in a similar role Qualification in Electronic Engineering or similar Knowledge of CNC machining CAD/CAM experience Able to read and understand engineering drawings Competent in Microsoft Office (Excel, Word & Project) Salary & Hours: 45,000 - 58,000 per annum (depending on experience) Monday to Thursday, 8am - 4:30pm & Friday, 8am - 2pm If this role is of interest to you, please apply with your CV!

The purpose of this role is to operate and set up advanced machinery across multiple departments within our aerospace manufacturing facility. The ideal candidate will be a time-served apprentice with proven expertise in 5th axis routing, vacuum forming, sheet metal processing, and machine shop operations, ensuring the highest quality production standards are consistently met. Safran is an international high-technology group, operating in the aviation (propulsion, equipment and interiors), defense and space markets. Its core purpose is to contribute to a safer, more sustainable world, where air transport is more environmentally friendly, comfortable and accessible. Safran has a global presence, with 100,000 employees and sales of 27.3 billion euros in 2024, and holds, alone or in partnership, world or regional leadership positions in its core markets. Safran is in the 2nd place in the aerospace and defense industry in TIME magazine's "World's best companies 2024" ranking. Safran Seats is one of the world's leading manufacturers of aircraft seats, for both crew and passengers. 1 million Safran Seats-manufactured aircraft seats are currently in service with air fleets around the world. In the UK, Safran Seats specialises solely in the First Class and Business Class seating markets for wide body aircraft, with industrial and engineering teams in Cwmbran and Newport, Wales and Brackley, England. The purpose of this role is to operate and set up advanced machinery across multiple departments within our aerospace manufacturing facility (night shift) Key Responsibilities will include: -Set up, calibrate, and operate a range of CNC and manufacturing equipment, including: 5th axis router machines and thermal formers (Vacuum Forming department) Amada laser combi machines and press brake forming machines (Sheet Metal department) Mazak 5th axis and Bridgeport 3 axis machines (Machine Shop) -Select and install the correct tooling to efficiently and accurately produce aerospace components. -Interpret and apply engineering drawings, blueprints, and specifications to achieve precise machining and forming outcomes. -Conduct thorough inspections of parts and components to ensure compliance with stringent aerospace quality and dimensional standards. -Diagnose and resolve machine issues swiftly to minimize production downtime. -Ensure all operations adhere strictly to safety regulations and company policies. -Collaborate closely with engineering, quality assurance, and production teams to optimize manufacturing processes and support continuous improvement initiatives. -Mentor and provide guidance to less experienced operators and trainees, sharing expertise and best practices. -Maintain accurate records of machine setups, maintenance, and quality inspections. What We'll Offer As a valued member of our team, these are just a few of the benefits you'll receive: -33 days holiday (including bank holidays) -Industry leading pension scheme with salary sacrifice employer contributions up to 10%. -Private medical cover (to include Digital GP and rapid access Physio with no excess) with ability to upgrade level of benefit and cover family members. -Access to salary sacrifice benefits scheme including cycle to work and Octopus EV Scheme -4 x Life Assurance -Interactive benefits platform including wide range of discretionary benefits including technology, retail benefits, income protection. -Enhanced family friendly policies and benefits (enhanced maternity and paternity leave) and employee assistance programme -Annual share save schemes. -Option for hybrid and flexible working arrangements -Opportunities for career advancement and personal growth. Benefit from support through Safran University and our internal Training and Development Schools -Get involved in our corporate social responsibility activities from sustainability initiatives, charity and fundraising, volunteering days, or supporting STEM activities at local schools and colleges nurturing the next generation of talent Please apply and submit your CV today! Once your CV has been reviewed, we will contact you with the next stages. This role is subject to pre-employment checks, including but not limited to criminal record checks. While having unspent convictions may not necessarily prevent you from being employed, you are required to disclose any unspent convictions during the recruitment process. Only candidates who successfully pass these checks will be considered for employment. We are committed to building a workforce that is reflective of the diverse community we serve. We want to attract the best applications from people of all backgrounds and underrepresented groups because we strongly believe in adding value through diversity, inclusion. Our employees enable us to deliver services that are accessible and inclusive. As part of our commitment with Disability Confident Employers, we may offer a guaranteed interview to applicants who meet the essential criteria for the post. We strive to provide reasonable adjustments throughout the recruitment process and employment. Let us know if you need support to showcase your talents or require any reasonable adjustments with your application. We're committed to building a strong, diverse workforce and making Safran Seats an inclusive place to work. Candidate skills: -Proven experience as a CNC Machine Setter (ideally in aerospace or high precision manufacturing). - -Strong knowledge of CNC programming, setup and tooling. -Ability to read and interpret complex engineering drawings. -Skilled in operating advanced CNC machinery (including multi axis / 5 axis equipment). -High attention to detail with a strong quality and continuous improvement mindset No candidate will meet every single desired qualification. If your experience looks a little different from what we've identified and you think you can bring value to the role, we'd love to hear from you! Our employees are at the heart of our success, as we work together for our sustainable future. There are four People Fundamentals that underpin life at Safran: -We believe in and promote diversity and inclusion as key values across our business -We develop our colleagues skills and build opportunities so you can shape our future -We create a trustworthy work place to support you, as you dare to act and innovate -We encourage collaboration and mutual support for you and your colleagues

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.