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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 • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: · Sky Q, for the TV you love all in one place · The magic of Sky Glass at an exclusive rate · A generous pension package · Private healthcare · Discounted mobile and broadband · A wide range of Sky VIP rewards and experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: · Sky Q, for the TV you love all in one place · The magic of Sky Glass at an exclusive rate · A generous pension package · Private healthcare · Discounted mobile and broadband · A wide range of Sky VIP rewards and experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: · Sky Q, for the TV you love all in one place · The magic of Sky Glass at an exclusive rate · A generous pension package · Private healthcare · Discounted mobile and broadband · A wide range of Sky VIP rewards and experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: · Sky Q, for the TV you love all in one place · The magic of Sky Glass at an exclusive rate · A generous pension package · Private healthcare · Discounted mobile and broadband · A wide range of Sky VIP rewards and experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: · Sky Q, for the TV you love all in one place · The magic of Sky Glass at an exclusive rate · A generous pension package · Private healthcare · Discounted mobile and broadband · A wide range of Sky VIP rewards and experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: · Sky Q, for the TV you love all in one place · The magic of Sky Glass at an exclusive rate · A generous pension package · Private healthcare · Discounted mobile and broadband · A wide range of Sky VIP rewards and experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: · Sky Q, for the TV you love all in one place · The magic of Sky Glass at an exclusive rate · A generous pension package · Private healthcare · Discounted mobile and broadband · A wide range of Sky VIP rewards and experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: · Sky Q, for the TV you love all in one place · The magic of Sky Glass at an exclusive rate · A generous pension package · Private healthcare · Discounted mobile and broadband · A wide range of Sky VIP rewards and experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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.

As a Customer Journey Strategy Manager you will be responsible for leading the future strategy and development of exceptional customer experiences across our most critical end-to-end customer journeys, both individually and as part of a cohesive and interconnected experience ecosystem. You’ll work closely with senior leaders, journey owners, design leads and product teams to lead the development of exceptional and differentiated customer journeys that deliver on Barclays drive to be best-in-class for customer experience. By leveraging data and insights from various sources, you’ll drive customer-centric solutions that address pain points and meet evolving customer needs. You will deliver the reimagining of customer journeys in line with the strategic vision, ensuring seamless, intuitive, and digitally enabled experiences. Additionally, you’ll drive collaboration across cross-functional teams, working with design, product, and technology stakeholders to prioritise and deliver strategic initiatives. You will also stay ahead of emerging customer experience trends and technologies, integrating these into journey strategies, while fostering a culture of experimentation, testing, and continuous improvement. To be successful as a Customer Journey Strategy Manager, you should have experience with * Strategic mindset with the ability to translate complex problems into innovative solutions. Comfortable working with systems design, understanding how this can be utilised for bigger picture journey transformation. * Considerable influencing and stakeholder management skills with experience of delivery in cross-functional, matrixed environments with multiple stakeholders. * Expertise in customer journey mapping and understanding of design thinking methodologies, partnering closely with Journey Design Leads to deliver quality journey artefacts. * Expertise in developing journey design blueprints and CX journey prototyping. * Developed commercial acumen, with an understanding of how excellent customer experience can drive effective business commercial outcomes. * Experience in customer data, customer/competitor & market insights and horizon scanning to identify opportunities inform strategic customer journey development. * Experience using CX Tools e.g. Figma, Adobe Analytics, Qualtrics. * Experience briefing in customer research, with deep understanding of how to synthesise insights into journey thematic and frame the cumulative impact of small but frequent journey issues into overall journey performance. * Developed facilitation and storytelling skills. * Understanding of agile working practices and the ability to work in cross-functional environments. * Considerable analytical and creative problem-solving skills with high levels of customer empathy. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based in Northampton, London (1CP) or Manchester (4PP). Purpose of the role To design the end to end journey of a service to enable a user to complete their goals. The work may involve the creation of, or change to, transactions, products and content across both digital and offline channels provided by different parts of Barclays. Accountabilities • Creation of design assets to drive business outcomes, including service blueprinting, customer journey mapping and service prototyping., • Creation of intuitive and user-friendly interfaces for digital banking platforms and applications for a seamless and engaging user experience., • Design and maintenance of visually appealing and consistent user interfaces that align with the bank's brand identity and design guidelines across digital products., • Creation of wireframes and interactive prototypes for visualisation and testing of product concepts and features before development., • Compliance to accessibility standards and guidelines to provide an inclusive experience for all users., • Monitoring of industry trends, design best practices, and emerging technologies to continuously improve the design quality and innovation of banking products., • Gathering and analysis of data from a wide range of sources to create in-depth insights into customer’s needs or pain-points to aid business understanding of the customer experience. Assistant Vice President Expectations • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions., • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes, • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others., • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes., • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues., • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda., • Take ownership for managing risk and strengthening controls in relation to the work done., • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function., • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy., • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively., • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience., • Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Forvis Mazars is a leading global professional services network providing audit & assurance, tax, and advisory services. Forvis Mazars in the UK spans 14 offices across the nation and has over 3,400 professionals, with 190 partners. We have a clear purpose and a shared commitment to shape a better future. You'll join a collaborative and inclusive team where you're supported to grow your skills, explore new opportunities, and contribute from day one. You'll work with a diverse client base, develop meaningful connections, and gain experience that extends beyond your local team. Together, we grow, belong and impact. This is an opportunity for a Consultant/Senior Consultant to join our Risk Consulting, Energy, and Infrastructure team. You will join a team that works with large energy and infrastructure clients and supports our private and public sector clients. You will work in a team that delivers internal audits and advisory activities, focusing on corporate governance and compliance, contract management, risk management, and procurement. The Risk Consulting, Energy, and Infrastructure team sits within the firms broader Advisory and Consulting Service line. The Advisory & Consulting service line is a rapidly growing, award winning, global group of successful teams working together to present a go-to-market differentiator whilst delivering the highest quality of work for our clients. This exciting role will actively contribute and become pivotal in delivering specialist services to our Energy & Infrastructure clients. We have a significant opportunity to expand our footprint in this competitive market and accelerate the growth and development of our internal audit, risk management, and contract management solutions. As a Consultant/Senior Consultant, you will work within the team responsible for delivering work to a range of clients. You will closely collaborate with clients and provide exceptional internal audit and risk assurance services. The current team is looking for a motivated individual who will have excellent opportunities for progression. • Collaborate with a dedicated team to deliver internal audits to our clients., • Preparation of draft internal audit reports., • Engaging with the wider Energy and Infrastructure team in growing business development opportunities., • Working with our SMEs to optimise client's ways of working., • Data analysis and visualisation., • Maintaining good relationships with clients., • Assistance on other special assignments (e.g. fraud investigations, capital projects audits) as and when required., • Experience of delivering internal audits in the industry (ideally in infrastructure and capital projects environment)., • Professional service background., • Good interpersonal and client handling skills., • Good reporting writing skills., • Good analytical skills supported with your ability to present information in a clear and consistent manner with the use of PowerBI and other tools., • Part qualified ACA, CA, ACCA, CIMA IIA or CII (or equivalent) qualification or part qualified., • Currently working as an internal auditor, quantity surveyor apprentice or trainee. We seek to attract, develop, and retain the best talent, inclusive of sex, ethnicity, disability, socio-economic background, sexual orientation, gender identity, nationality, and faith. We select candidates based on skills, knowledge, qualifications, and experience and aim to support all our team members to reach their potential. At Forvis Mazars, we promote an environment in which you can grow your skills, belong to a team that values your ideas, and make an impact that matters.

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

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

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

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

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

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

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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 experiencesInclusion & 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 are looking for an experienced Enterprise Sales Executive to drive strategic sales efforts within our most impactful UKI market. Utilize data-driven sales forecasting to drive revenue projections and meet or exceed sales targets. Collaborate closely with internal teams, including Sales, Bids, Imp

About Corporate Traveller At Corporate Traveller, were on a mission to take business travel to the next level. And when it comes to our people, we know we are next level. We are anything but ordinary. Part of the corporate division of the Flight Centre Travel Group (FCTG), Corporate Traveller is one of FCTG's most successful brands, globally. Our mission is to make end to end travel experience faster, simpler and easier for our customers and to demonstrate ongoing value to decision-makers, travellers and bookers. We provide our customers with the perfect blend of personal, local service blended with our expert technology suite and the great choice and value which comes with being part of the FCTG family. We lead with passion, ambition, and a hunger to do better. We do whatever it takes to get the best results, for ourselves and our customers. We are committed to helping our customers and each other grow and smash our goals. And at our core, we believe that together we can do anything. Together, we are here to take it to the next level. Role Highlights Are you a strategic product marketing leader ready to drive innovation and growth across a global brand portfolio? Were seeking a Senior Brand Product Marketing Manager to shape and execute market leading go-to-market strategies for our Corporate Traveller brand. Youll collaborate with senior stakeholders, global and regional teams, and partners to bring innovative solutions to market crafting positioning, messaging, and campaigns that inspire customers and fuel business growth. In this high impact role, youll: • Develop and lead strategic product marketing plans that drive new customer acquisition, product adoption, and retention., • Champion customer insight, market intelligence, and competitive analysis to guide the product roadmap., • Partner cross-functionally with Product, Sales, Customer Success, and Brand Marketing to deliver compelling launches and impactful go-to-market activations., • Mentor and lead a small team of product marketers, ensuring efficient ways of working, professional growth, and alignment with business OKRs. Requirements • 7+ years experience in mid to senior product marketing or similar, ideally within technology, SaaS, or innovation-led industries, • Strong background in product lifecycle management, go-to-market strategy, and customer insight, • Skilled in competitive and market analysis, with proven ability to translate data into actionable marketing strategies, • Excellent stakeholder management skills able to influence and collaborate with senior leaders and cross-functional teams, • A marketing or related degree (mandatory), • Experienced in using digital channels and automation to drive adoption and engagement, • Confident communicator with strong project management, problem-solving, and analytical abilitiesWhat's in it for you, • Exclusive Travel Discounts: As part of Flight Centre Travel Group, you gain access to exclusive industry rates and discounts through our in-house travel team., • Career Development: With Flight Centre Travel Groups global presence, spanning 30+ brands in over 20 countries, youll have clear career pathways and the resources you need to achieve your professional goals, including training and support., • Vibrant Culture & Social Perks: Experience our fun, industry-renowned culture with exciting social events such as monthly awards nights, global conferences, end-of-financial-year balls, and more., • Active Hour: Prioritise your well-being with an hour dedicated each week to focus on your fitness or personal wellness., • Comprehensive Health Cash Plan: Get reimbursed for a variety of medical services, including dental, optical, and chiropractic care, with our bronze-level health cash plan., • Health & Wellbeing Challenges: Stay engaged with monthly health and wellbeing challenges designed to keep you motivated and healthy., • Financial Wellbeing Support: Access expert financial services, including mortgage advice, regulated financial guidance, and money coaching to help you manage your finances. We welcome accommodation requests to help make our hiring and onboarding experience as accessible as possible. Please advise us about accommodation needs at any point by contacting our Recruitment Team at . #LI-CS2#CTUK#LI-Onsite PandoLogic. Keywords: Product Marketing Manager, Location: London, ENG - SE25 5PY

We're building the infrastructure that makes autonomous AI safe for enterprise deployment. Not governance theatre. Not compliance checkboxes. Actual technical systems that can monitor, quantify, and govern AI agents operating with autonomy in production environments. If you've been following the trajectory from static models to agentic systems—and the corresponding explosion in risk surface area—you know why this matters now. About governr governr is the AI risk platform for regulated enterprises. We provide complete AI visibility, real-time risk eval and quantification, and audit-ready compliance docs for enterprises deploying agentic AI. We've built the industry's most comprehensive AI risk assessment framework: We're currently in active discussions with tier-1 financial institutions and have secured design partners with leading firms navigating the shift from analytical AI to agentic systems. The market timing is critical: enterprises are deploying agents at scale, regulators are demanding governance frameworks, and existing Third-Party Risk Management (TPRM) platforms have near-zero AI-risk depth. We have an estimated 18-24 month competitive window before large incumbents build comparable capabilities to stay relevant. The Role As an Agentic Developer at governr, you'll build the core systems that monitor, analyse, and govern autonomous AI agents in production. This isn't traditional software engineering with well-worn patterns. You're designing architectures for problems that didn't exist 18 months ago. You'll be responsible for: • Agent Monitoring Infrastructure: Build real-time systems that track agent behaviour across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters, • Risk Assessment Engine: Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory requirements, and detect cascade failures before they propagate through multi-agent systems, • Protocol Integration: Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol) as they mature, ensuring authenticated and logged inter-agent communications, • Anomaly Detection: Develop ML systems that identify when agents exhibit unexpected strategies, attempt unauthorized actions, or drift from intended behaviour—catching issues before regulators do, • Evidence Generation Systems: Build architectures that automatically capture audit trails, decision provenance, and compliance evidence without impacting agent performance Core Requirements (Non-negotiable) Technical Depth: • 3 - 12+ years building production systems at scale • Expert-level proficiency in Python, Rust, or Go (you write systems that can't fail) • Deep understanding of distributed systems, real-time data processing, and observability architectures • Production ML/AI experience: You've deployed models, debugged their failures, and built monitoring around them • System design mastery: You can architect for reliability, scalability, and auditability simultaneously Domain Knowledge: • Understanding of agent architectures: autonomous decision-making, goal-directed behaviour, tool use, memory systems • Familiarity with AI safety concepts: alignment, interpretability, robustness, adversarial examples • Experience with monitoring/observability: instrumentation, logging, tracing, alerting in complex systems Working Style: • You ship to production regularly and own what you deploy • You write documentation that others can actually use • You thrive in ambiguity and define requirements through first principles • You communicate technical concepts clearly to non-technical stakeholders Highly Valued (Differentiated Candidates) • Publications or research in multi-agent systems, reinforcement learning, AI safety, or agent architectures • Experience at AI labs (Anthropic, OpenAI, DeepMind) or leading AI research groups, • Production experience with agents: LangChain, AutoGPT, CrewAI, or custom agent frameworks • Regulated industry background: Financial services, healthcare, or other domains with compliance requirements, • Security/threat modelling expertise: Understanding of adversarial AI, prompt injection, or system security • Real-time systems experience: Trading systems, fraud detection, or other low-latency critical infrastructure, • Open source contributions in relevant domains (AI frameworks, monitoring tools, security infrastructure) Bonus Points (Nice to Have) • Understanding of regulatory frameworks (EU AI Act, California AI, GDPR, DORA, FCA, OCC, FINRA guidance), • Experience with compliance/audit systems or GRC platforms, • Background in formal verification or theorem proving, • DevSecOps or infrastructure-as-code expertise, • Track record of technical leadership or architecture ownership Who Thrives Here You read AI safety papers for fun. You've built production systems where failure has real consequences. You're excited by the idea of being the first person to solve a category of problems that didn't exist last year. You care about getting it right, not just getting it done. When someone asks "can we monitor that?" your first instinct is to figure out how, not to explain why it's hard. You're comfortable with the early-stage start-up reality: fewer guardrails, more ownership, rapid iteration, and direct impact on company trajectory. You want to define the product, not just implement specifications. You're intellectually curious about the intersection of AI capabilities and regulatory constraints. You find it genuinely interesting that the EU AI Act requires "human oversight" but doesn't define what that means for autonomous agents. You're mission-aligned: You believe AI agents will transform how organizations operate, but only if we solve the governance problem. You want to be the person who solves it. Why Now / Why governr Market Timing: Autonomous AI is moving from research to production. McKinsey estimates $2.6T-$4.4T annual value from agentic AI. 80% of organizations report risky agent behaviours. Regulators are demanding guardrail frameworks. The infrastructure layer doesn't exist yet. We're building it. Technical Challenge: You'll solve problems that have no Stack Overflow answers. Agent-to-agent security. Cascade failure prevention across multi-agent systems. Emergent capability detection. Financial quantification of non-deterministic systems. This is legitimately hard, novel work. Category Leadership: We have 18-24 months before large incumbents build comparable depth. First-mover advantage in category creation is real. You'll help define what "AI governance" means. Team Quality: Co-founders with deep financial services + AI expertise. Advisors including Dr. Ayman Hindy, Marcel Cassard, and leading figures in AI, high frequency risk management and financial regulation. Early team of sharp, mission-driven builders. Learning Curve: You'll gain expertise in cutting-edge AI architectures, enterprise software, regulatory frameworks, and category creation simultaneously. This is one of those roles you look back on as career-defining. Impact Leverage: Every system you build enables safe AI adoption for enterprises managing billions in assets. Your code directly influences whether organizations can deploy autonomous agents responsibly. What We Offer Compensation: very competitive salary + equity in a fast-growing company with clear path to Series A Team: Reporting to Co-Founder Chief Product Officer, working directly with founders on product direction Work Environment: London, New York - focus on outcomes over presence Growth: Ownership of major product areas from day one. Technical leadership opportunities as team scales. Direct exposure to customers, investors, and strategic decisions. Resources: Modern tech stack, freedom to choose tools, Mission: Build the infrastructure that makes autonomous AI safe for society. Not many teams can say their technical work has direct regulatory impact. How to Apply If you're excited about building unprecedented monitoring systems for autonomous agents, working at the intersection of AI safety and enterprise software, and defining an emerging category—let's talk. Send your resume, GitHub/portfolio, and a brief note on what excites you about this problem space to and . Include: • Links to relevant work (code, papers, projects, or systems you've built) • What you're currently reading/learning in the AI agent space • One technical challenge you'd be excited to solve at governr We review applications on a rolling basis and move quickly for strong candidates. First round is a technical conversation with the Co-Founder, not whiteboard hazing. We're evaluating you as much as you're evaluating us. Come with questions about our technical approach, roadmap, or market positioning. The best conversations are mutual discovery. governr is an equal opportunity employer. We believe diverse teams build better products and welcome applications from candidates of all backgrounds. Ready to build the governance layer for autonomous AI? We're ready for you.

Title: Healthcare Assistant Location: London Hours: 40 hours per week Salary: £27,000 per annum *Please note this role will require you to travel to our different clinics throughout the UK Optical Express is focused on delivering exceptional patient care, outstanding clinical outcomes and continued investment in our people and technology. For over 35 years, millions of patients have trusted Optical Express with their eye care. As the UK's leading private provider of laser eye, premium intraocular lens and cataract surgery, our Surgeons undertake more laser procedures collectively than any other provider. We look after thousands of patients in our clinics every week and it’s a privilege to transform the lives of so many. The Optical Express team work together, collectively and consistently striving for excellence. We support each other, respect each other and are committed to a culture of care, trust and integrity. The culture extends to our local communities, through our range of charitable and environmental projects. We focus on doing what is right for our patients, our colleagues, our local communities and our planet. Due to continued growth, a fantastic opportunity has arisen to join Optical Express as a Surgery Associate (Healthcare Assistant) based in our London Clinics. The role involves travelling to cover other Optical Express surgery clinics (travel costs will be covered by Company) Key Responsibilities and Accountabilities: Following appropriate training, supervised practice and competency achievement assessments, you will be able to undertake all designated roles within the surgery team working across two surgical specialities: laser vision correction department (LVC) and ophthalmic (IOL) theatres. You will also be responsible for the following: • Pre-operative testing; conducting tests prior to examination and treatment and assisting during the consent appointment process, including providing information to patients prior to their IOL or LVC procedure., • Patient discharging; instructing the patient pre and post procedure on the care of the eyes, updating medical records, making follow up appointments., • Laser technician; preparation and calibration of the lasers, understanding data, loading and transferring data, safe running of the lasers., • Co-ordinating: Controlling patient flow on the day of the consent appointment and surgery appointments to ensure minimum waiting times for patients and managing queries., • Assisting the surgeon during consent appointments and treatments – acting as scrub assistant (LVC only); taking notes for the surgeon; instilling eye drops., • Undertaking the role of ‘HCA’ (Healthcare Assistant) in IOL theatre to assist the surgical team and patients during surgery and associated tasks such as decontamination of instruments., • Actively participating in the end of treatment day activities; updating patient files, filing, compiling ‘end of day’ reports for head office, cleaning the department, stock and lens ordering., • Reporting untoward incidents – taking an active role in patient safety issues and quality and risk management. Essential Skills • Excellent communication and presentation skills, • Ability to absorb and convey highly technical information, • Adaptable with a flexible approach to work, • Excellent time management skills and ability to prioritise tasks, • A confident and professional individual who has fantastic organisational skills, • Excellent telephone manner, • Demonstrate confidentiality, integrity and discretion, • Flexibility to travel to other clinics on a regular basis (travel costs will be covered by Optical Express) What’s in it for you? • A market leading salary, • No night shift, • State of the art, modern working environments, • 29 days’ annual leave per annum, • Free Laser Eye Surgery and Intraocular Lens Surgery, • Free eye tests, • Discounted prescription eyewear and sunglasses, • Generous Optical Express friends and family discount scheme, • Ongoing training and development opportunities, • An accessible management team and transparent management structure, • Working in a larger clinical team means less pressure on our staff and more time to spend with our patients, • Full visibility of 6-weeks' rota This is a fantastic opportunity to join a global organisation where you will have the opportunity to grow and develop within a professional working environment. Optical Express is an equal opportunities employer.

MERJE are working with a reputable Insurance company who are looking to hire within their Health Insurance Pricing function - with the hire of a Qualified Actuary. As an Actuarial Manager, you will be joining a high performing function that are at the heart of creativity and innovation around the Health insurance sector. You will be contributing and leading tasks around Pricing Strategy and Development based on market conditions and thorough data research. Within this role, you'll be applying yourself with a number of different analytical tools and softwares. In addition to typical Actuarial softwares, we're looking for those with knowledge and skills in Data Science techniques such as Power BI, Python, SQL. This opportunity provides an excellent long term opportunity if you're looking to enhance your Actuarial career, incorporating the inclusion of more data focused techniques. We're looking for Qualified Actuaries based in the South of England (2 days a week in the office). You'll come from a Health or General Insurance background - although we will be looking at those in Life Insurance who have worked specifically in Critical Illness / Medical areas.

The Bread Factory is London’s leading Artisan Bakery, known for award-winning breads, pastries, and cakes, supplying top-quality products across e-commerce, grocery, food services, and retailers such as our GAIL’s Bakeries nationwide. As our teams grow, we seek our next GAIL's Buying Manager to join our team. As the GAIL’s Buying Manager, you will be responsible for the category we call ‘The Pantry’. This is a collection of branded and un-branded third party produced products, including our jams (from Tea Together), butter (from Quicke’s), honey (from Oxfordshire Honey), and drinks such as Momo Kombucha and Rapscallion. We Care about a Job Well Done: Since 1993, we have been champions in traditional baking with the finest ingredients and techniques. We always do things the right way, not the easy way. We Care about Baking: At The Bread Factory, all our teams take pride in crafting beautiful, freshly baked loaves, pastries, and cakes. We are all passionate about our products and share knowledge among us all. We Care about Each Other: We always act with respect, empathy, and support to our employees, neighbours and customers. We Care about Community: We believe in minimising unsustainable practices and reducing waste. While ensuring we continue to provide everyone with nutritious high-quality food. We Care about Nature: We’re committed to sustainability across our supply chain—from reducing waste and reusing surplus to supporting regenerative farming that helps restore the planet. Every day is different at The Bread Factory, but here are some of the things you will be doing: • Drive initiatives to outperform vs budget and remove cost where it doesn’t add value., • Own the use of merchandising space and work in partnership with Operations & Creative Studio to drive more relevance to customers and stronger commercial performance., • Own the GAIL’s Craft Community and the supplier partnership strategy. Be the face of GAIL’s to many of our most special relationships., • Manage the full procurement process including market research, competitive pricing, supplier selection and negotiation, contract implementation and supplier performance review., • Actively maintain live knowledge of supply markets and develop/ implement buying strategy., • Pro-actively find interesting new partners based on the creative vision for The Pantry., • Collaborating with the Creative Studio, NPD and Technical teams you’ll be driving the delivery of new ranges into GAIL’s., • Understand and participate in the Innovation Stage Gate process, to ensure the on-time delivery of new launches within the seasonal plan., • At all times you will have a close eye on the competitor and industry landscape., • Be a true partner to the Creative Studio and Operations teams, so you can deliver the vision in a way which is sympathetic to the realities of operating our bakeries, • Protect the integrity of our GAIL’s Craft Community whilst driving the commercial performance of the ranges. Engage with Finance and Data & Insight to provide fact-based insights on what can change and why. Our team tells us you will be a great addition if you have: • Experience ideally at Buying Manager level or equivalent, with a record of delivering strong results. Knowledge of negotiating skills such as GAP approach., • Experience in creating and delivering strategic plans and budget forecasts., • Experience nurturing small supplier and partner relationships, • Confident communicator who can engage effectively at all levels., • Able to live the values each day and is passionate about our mission to change the food system through sustainability, ethical sourcing and making things better each day, • Someone who can make things happen, is highly organised and can support our ambition to be one of the best bakeries in the world. What’s in it for you: • Fresh bread daily to take home to enjoy with family and friends., • 50% discount at GAIL’s and 40% off at The Bread Factory & The Flour Station Markets., • 25 days holiday + bank holidays, • Discounts and Savings from high-street retailers and restaurants, • 24-hour GP service, • Cycle to work scheme

Job Description : London | Full-Time | Senior Engineer Permutable Technologies is a fast-growing AI company helping the world’s leading financial institutions make smarter decisions through real-time market intelligence and LLM-driven news analytics. We’re entering a critical scale-up phase and are hiring a Senior Engineer to work alongside a talented engineering team, helping us scale product, systems, and team maturity. This role is for someone who has been through scale-up before and understands how to partner with platform leadership while remaining deeply hands-on. You’ll help turn strong commercial momentum into a robust, scalable engineering foundation. What You’ll Be Doing • Work in close partnership with the Head of Platform to execute on platform strategy and delivery, • Own and deliver key parts of our core product stack, including real-time APIs, data pipelines, and ML/LLM-powered analytics, • Act as a senior technical leader within the team—mentoring engineers and setting engineering standards, • Support customer-facing rollouts with Product and Commercial teams, ensuring production reliability, • Help improve engineering processes, observability, and system resilience as we scale, • Stay hands-on while helping the platform function operate more effectively What You Bring • Senior engineering with majority experience in a scale-up or fast-growing start-up, • Strong backend or platform engineering background (data-intensive systems a plus), • Comfortable working alongside a platform lead, contributing to architecture and execution, • Experience mentoring engineers and leading by example, • Pragmatic decision-maker who balances speed with robustness, • Bonus: exposure to LLM, Transformers or financial/market data products Tech We Work With • Python, React, JavaScript, • AWS, Docker, Pulumi, Postgres, • Agile, • Transformer building, LLMs, time-series models, • Real-time data pipelines & scalable APIs Why Join Permutable? • A wide network of established institutional clients, • Frontier AI used in financial and commodities markets, • Small team, high trust, low bureaucracy, • Clear ownership and influence without management overhead, • Opportunity to grow into staff / principal responsibilities as we scale Industry: Business Intelligence Platforms • Employment Type: Full-time

Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques.Responsible for integrating multiple previously disconnected datasets.Leveraging advan

Data Engineer — Hedge Fund (L/S Equity) | London A fundamentally driven long/short equity fund focused on the European Industrials sector is seeking a Data Engineer for a variety of greenfield development. Founded by a former Citadel portfolio manager, the team brings together expertise from leading global institutions such as Citadel, DE Shaw and Millennium. They combine rigorous data analysis with industry insight to anticipate industrial cycles ahead of the market, acting decisively when conviction and evidence align. Role Overview We are seeking a highly skilled Data Engineer to design, build and maintain the core data infrastructure powering the investment and risk processes. This is a fully hands-on role within a small, high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes, optimising data quality and performance, and ensuring high availability across all systems. Working closely with the portfolio manager, researchers and engineers, you will enable data-driven decision-making through well-structured, scalable systems. You should be comfortable operating independently across the full data lifecycle — from ingestion and transformation through to analytics delivery and monitoring. Qualifications • 5–10 years’ experience in data engineering or related roles, • Proven background at a leading finance or big tech firm, • Strong hands-on expertise in Python and modern ETL frameworks, • Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake), • Deep understanding of data modelling, validation, and pipeline resilience, • Familiarity with financial or alternative datasets preferred

Senior Software Engineer – Factory & Manufacturing Systems Location: On-site, London, UK Salary: Up to £170,000 + Meaningful Equity Industry: AI / Defence & Aerospace The Company: They're building a software-first manufacturing network: small to medium-sized, highly specialised factories (starting with CNC machining) that produce critical components for aerospace and defence. Their goal is to scale from a handful of sites today to a much larger network across the UK/Europe and the US powered by software that runs individual factories well and orchestrates the network end-to-end. What You’ll Do: • Build core full-stack systems that run the shop floor (MES) and support quoting, scheduling, routing, and execution., • Work directly with operators and leadership to identify bottlenecks and ship software that changes real outcomes fast., • Own projects end-to-end: design > implementation > deployment > iteration in live factory environments., • Contribute to “network orchestration” getting the right work to the right factory at the right time, with the right materials/tools. What We’re Looking For: • 3–5+ years building product-focused software (exceptional candidates outside this range considered)., • High-agency, independent builder: pragmatic, low ego, strong engineering fundamentals., • Comfortable in ambiguity; motivated by mission and real-world impact., • Bonus: stronger UX/front-end leaning (React/TypeScript) a current team gap., • Bonus: founding engineer / ex-founder experience, or exposure to manufacturing / robotics / aerospace & defence. Tech: TypeScript, React, Postgres, AWS (stack flexibility is fine for strong generalists) Why You’ll Thrive • See your code drive real machines, powering CNC tools and robots producing precision parts for rockets, planes, drones, satellites, and sensing systems., • Work on a mission with geopolitical weight, helping reindustrialise the West and build sovereign supply chains for defence, space, and energy., • Modernise a fragmented, low-NPS ~$130B precision parts market growing ~10% annually., • Get high ownership and above-average equity in a seed-stage company with ~$9M raised and multi-year runway., • Work across the full stack manufacturing execution, quoting, scheduling, supply chain, data modelling, AI agents, and UX., • Build in a factory-first environment, on-site with operators and machines running your software., • Learn from a high-calibre team from leading tech, defence primes, consulting, military special forces, and deep-tech startups, led by a second-time founder., • Help scale a growing network of factories in London, across the UK, and the US, designed to expand to hundreds of sites in the US and Europe. This role is open to UK citizens only.

Role – Data Modelling Lead Technology – Snowflake, SQL Server, PostgreSQL, Data Warehousing, Data Lake, Medallion, Data Vault, Data Fabric, Semantic modelling Location – London, UK Job Description We are seeking an experienced Data Modeler who can analyze and understand the existing customer data and analytics models on SQL Server, and design efficient data models for Snowflake. This individual will work closely with multiple Business Analysts to gather requirements and translate them into optimized data structures, ensuring scalability and compliance with industry standards. A strong understanding of Insurance domain concepts—including Specialized Insurance, London Market, and Regulatory Data—is essential for success in this role. Your role In the role of a Data Modelling Lead, you will be responsible for leading the design and transformation of enterprise data models to support scalable, high-performance analytics and reporting solutions. You will analyse existing data models built on SQL Server and guide the development of optimized structures on Snowflake, ensuring alignment with business requirements and enterprise standards. You will collaborate with Business Analysts and cross-functional teams to translate complex reporting and analytics needs into efficient, well-governed data models. Your leadership will be key in identifying gaps, driving improvements, and implementing best practices in dimensional modelling, normalization, and metadata management. A strong understanding of the Insurance domain—including Specialized Insurance, London Market operations, and Regulatory Data—is essential. You will apply this domain expertise to ensure that data models accurately reflect business processes and regulatory obligations. As a lead, you will contribute to architecture reviews, mentor junior data modelers, and support data governance initiatives. You will also play a role in documentation, knowledge sharing, and capability building across the data modelling practice. Your work will enable the organization to build a robust foundation for analytics, improve data quality, and support strategic decision-making through well-structured, scalable, and domain-aligned data models. Responsibilities -Analyze and document the current data model in SQL Server for customer data and analytics. -Design and implement new data models or modify existing ones for Snowflake. -Ensure models adhere to best practices for normalization, performance, and scalability. -Collaborate with data engineering teams to implement models effectively. -Work closely with Business Analysts to understand business requirements. -Translate functional requirements into logical and physical data models. -Provide impact analysis for changes to existing models and propose efficient solutions. -Apply knowledge of Insurance domain, including: -Specialized Insurance products. -London Market practices. -Regulatory and compliance data requirements. -Ensure data models align with industry standards and regulatory guidelines. Required -5+ years of experience in data modeling and database design. -Strong expertise in SQL Server and Snowflake data modeling. -Proficiency in SQL for data analysis and validation. -Experience in data architecture principles and data governance. -Solid understanding of Insurance domain concepts (Specialized Insurance, London Market, Regulatory Data). -Excellent communication and stakeholder management skills. Preferred -Experience with ETL tools and data integration processes. -Familiarity with data warehousing concepts and cloud data platforms. -Exposure to Fivetran, SSIS, or Snowflake advanced features. Personal Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include: • High analytical skills, • A high degree of initiative and flexibility, • High customer orientation, • High quality awareness, • Excellent verbal and written communication skills Why Infosys Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. “All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.” “By applying via Easy Apply option you confirm you have read, and you accept Infosys Data Privacy notice for the country of the job posting. Please see the relevant Data Privacy Notice under the link: ___.”

MLOps Engineer Location: London, UK (Hybrid – 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model training and deployment, publishing model results for downstream consumption, and building APIs to serve model outputs on-demand. The role requires close collaboration with data scientists and other stakeholders to ensure ML models are production-ready, performant, secure, and compliant. Key Responsibilities • Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML), • Build infrastructure to monitor model performance, data drift, and other key metrics in production, • Develop and maintain tools for model versioning, reproducibility, and experiment tracking, • Optimize model serving infrastructure for latency, scalability, and cost, • Automate the end-to-end ML workflow, from data ingestion to model training, testing, deployment, and monitoring, • Collaborate with data scientists to ensure models are production-ready, • Implement security, compliance, and governance practices for ML systems, • Support troubleshooting and incident response for deployed ML systems Required Skills and Experience • Strong programming skills in Python; experience with ML libraries such as Snowpark, PySpark, or PyTorch, • Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer, • Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex AI), • Experience with CI/CD pipelines and automation tools such as GitHub Actions, • Understanding of monitoring and logging tools (e.g., NewRelic, Grafana) Desirable Skills and Experience • Prior experience deploying ML models in production environments, • Knowledge of infrastructure-as-code tools like Terraform or CloudFormation, • Familiarity with model interpretability and responsible AI practices, • Experience with feature stores and model registries

Salter Grange is seeking an experienced and dynamic Project Director to lead a high-profile data centre project in Central Europe. Following significant project wins, this is a unique opportunity to join a top-tier contractor in the mission-critical sector and accelerate your career with a company renowned for delivering excellence. As a Project Director, you will oversee the delivery of complex data centre projects for blue-chip clients, supported by a strong Senior Operations team. Operating across the UK and Europe, our client is a trusted name in data centre construction with a turnover exceeding £3 billion and a robust project pipeline extending to 2028. Project Director Responsibilities: • Drive effective client relationship management to ensure project success., • Develop a deep understanding of project strategies and future pipeline., • Oversee operational aspects of the tender process., • Facilitate seamless communication between head office and project sites to promote continuous improvement., • Lead comprehensive training programs to enhance team performance and proficiency., • Provide inspirational leadership to motivate project teams., • Manage budgets and costs in alignment with project planning., • Act as a key liaison to senior management and the board, delivering regular project updates., • Establish and monitor KPIs to evaluate project performance., • Oversee implementation of new policies and procedures., • Conduct internal contract reviews with legal teams, ensuring key personnel's attendance., • Take charge of overall project operations, ensuring alignment with safety, quality, and environmental objectives., • Implement effective management systems, with a focus on subcontractor management. Project Director Requirements: • Extensive experience in general contracting/main contracting, with a proven track record in data centre, industrial, or mission-critical projects from start to finish., • Strong leadership, communication, and strategic planning skills., • Ability to thrive in a fast-paced, high-growth environment. What’s on Offer: • Competitive salary package., • Generous living allowance, travel, and accommodation support., • Performance-based bonus and comprehensive benefits package., • Opportunity to fast-track your career with a market-leading contractor. This is an exceptional chance to lead cutting-edge data centre projects and contribute to a thriving division with a secure workload for years to come. Join a company that values innovation, excellence, and career progression. Don’t miss this opportunity to shape the future of mission-critical infrastructure. Apply today or contact Julia at 07523 698852 for more information.

🚀 Junior Project Engineer (Mechanical or Electrical) 📍 London Based + Occasionally Nationwide | Data Centres 💰 £30,000 – £40,000 + Car Allowance + Expenses 🏖 25 Days Holiday + Birthday Off I’m currently working with a highly regarded cost and project management consultancy that is continuing to grow within the data centre sector. With a strong pipeline of work — much of it delivering projects for Amazon — this is a brilliant opportunity for a Junior Engineer looking to build a long-term career in one of the fastest-growing areas of construction and engineering. 🔧 The Role This company is looking to appoint a Junior Engineer on a permanent basis, with either a mechanical or electrical bias. This role would suit someone coming from a trades background or a graduate who is hungry to learn, develop, and get hands-on experience on live projects. You’ll be supporting senior engineers and project teams on data centre projects across the UK. The role will involve travel and occasional overnight stays, with all hotels, travel, and expenses fully paid. Full training and future professional courses can be funded — the key requirement is attitude. They’re looking for someone motivated, curious, and willing to get stuck in. • Support the production and review of technical drawings, layouts, and schematics (mechanical and/or electrical), • Help with cost planning, valuations, and change control, particularly on MEP packages, • Attend site visits and inspections, reporting on progress, quality, and compliance with specifications, • Assist in the coordination between design teams, contractors, and clients, • Support the review of method statements, technical submissions, and commissioning plans, • Gather, analyse, and organise project data, drawings, and documentation, • Help track project programmes, risks, and deliverables, • Support testing, commissioning, and handover processes, • Ensure work complies with current regulations, standards, and best practice, • Learn and develop an understanding of HVAC systems, power distribution, lighting, fire systems, and controls (depending on bias), • Build knowledge of specialist environments such as data centres, critical infrastructure, and complex MEP installations 🌟 Why Apply? • Entry into the data centre market — one of the most secure and future-proof sectors, • Exposure to major global clients, including Amazon, • Genuine investment in training and career development, • Supportive consultancy environment with clear progression, • Competitive package including:, • £30,000 – £40,000 salary, • Car allowance, • All travel & accommodation expenses paid, • 25 days annual leave + your birthday off This is an ideal opportunity for an ambitious Junior Engineer who wants more than just a job — it’s a chance to build a career with a consultancy that’s going places. 📩 Apply through this advert to be considered or email me your CV directly to

Senior Backend Engineer (Go) — London | Onsite We’re hiring an experienced Go Engineer to help build and scale high-throughput, real-time data platforms. You’ll work closely with product and data teams to design systems that reliably ingest, process, and deliver market-scale data — with a big focus on performance, resilience, and clean engineering practices. What you’ll be doing • Designing and building high-throughput backend services, • Owning technical decisions + improving system performance, • Integrating multiple external data + API sources, • Writing scalable, well-tested, maintainable Go code, • Collaborating with data + infrastructure teams What you’ll bring • Strong experience building scalable, reliable backend systems, • Proficiency in Go, • Experience with relational + non-relational DBs, • (PostgreSQL + Redis = big plus), • Solid testing mindset (unit, integration, E2E) Nice to have • Experience with websockets / streaming / queues, • Real-time data platforms, • Interest in fintech / digital assets If you enjoy solving real-time, large-scale data challenges and want to work onsite with a collaborative engineering team — let’s chat.

This role is with one of Dex’s trusted Partner companies. We work closely with their teams to truly understand their culture, goals, and what they’re looking for, so we can match you with the right opportunity for your goals! If you’re interested, apply here, or head over to Dex to find other opportunities with top tech companies, where you can truly find work that matters! The Opportunity Dex is partnering with a rapidly growing Series B company that is fundamentally redefining the CRM landscape for the AI era. Backed by Tier-1 global investors (the same behind Uber, Stripe, and Slack), they are building a "real-time first" platform that combines the power of a database with the usability of consumer social apps. This is a role for an Engineering Lead who refuses to compromise on quality, joining a team that obsesses over real-time infrastructure, massive data synchronization, and an interface that feels instant. What You’ll Work On • Lead a High-Performance Team: Balance hands-on individual contribution with the leadership of a focused, elite team of engineers. You will set the tempo, technical standards, and culture., • Architect for Scale: Design and evolve complex, event-driven architectures capable of handling massive data throughput and real-time synchronization across millions of entities., • Bridge Product & Engineering: Operate with high autonomy, making critical product decisions based on direct customer feedback and translating them into technical reality., • Build the Team: Play a pivotal role in recruiting and developing world-class engineering talent, fostering an environment of rigorous thinking and rapid execution., • Drive End-to-End Delivery: Own the full lifecycle of critical features What You'll Have • Technical, Hands On Experience: Deep, demonstrable expertise in modern cloud architectures and the full web stack. You are most comfortable in TypeScript/Node.js or Go on the backend, and/or React on the frontend., • System Design: Proven experience designing secure, scalable, and reliable backend systems on GCP or AWS. You understand the nuances of distributed systems and real-time data., • Leadership DNA: You have a track record of not just writing code, but growing great engineers. You know how to influence technical decisions and unblock your team., • Product Fluency: You don't wait for a spec sheet. You understand the business context and communicate technical trade-offs to stakeholders clearly., • Rigorous Thinking: You thrive on complex problems. You care about the "why" behind the architecture and strive for elegance in complexity., • Ambition: You want to work at the bleeding edge of the AI-native shift, building tools that define how the next generation of go-to-market teams operate. To be considered for this role and others like it, apply directly, or sign up to Dex to find other opportunities for work you're actually excited by!

MEP Director Expert Witness Group UK The Expert Witness Group is looking to fill a vacancy for an experienced MEP engineer, based in the UK. This is an exciting opportunity to join a group of engineers specialising in the field of MEP forensic engineering and expert witness and advisory services. The Group has gained a reputation for independence and excellence in its field, which is second to none. Members of the Expert Witness group help resolve engineering problems and the resolution of disputes by applying analytical skill, clarity of expression, objective approach, and their extensive experience. The Expert Witness Group offers an excellent opportunity for the growth and development of its members. All our directors form part of the wider Hoare Lea leadership, engaging with and supporting strategically aligned activities and initiatives. Why work for us? You’ll collaborate with the industry’s best, working with a wide range of built-environment specialists. About us Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, electric vehicle salary sacrifice scheme, stock options, and up to 30 days of annual leave. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. The role Working in the Expert Witness team, you will have the opportunity to investigate and analyse engineering problems on a wide variety of cross-sector projects. As a result, this opportunity would suit an engineer with demonstrable experience acting as an expert witness, backed up by direct experience working on and leading major MEP projects in the UK and beyond. Your strong technical background is complemented by , an enquiring mind and an ability to objectively analyse engineering systems. You should be able to draw upon your experience to identify and substantiate the impacts of change, both on MEP design and installation work, and have the ability to explain complex technical issues to non-technical people. You will be committed to building client relationships and work-winning, including networking and attendance at relevant events as you continue to grow and enhance your reputation as an MEP expert. What we are looking for • MEP Expert Witness experience, as named expert., • A strong track record of work winning in the Expert Witness market., • Excellent technical knowledge in MEP Engineering and a thorough understanding of the interdisciplinary design process, through all stages through to final installation on site. Your CV must give credibility to your views as an MEP expert., • This is a client-facing role, you must be comfortable and competent interacting with, receiving information from and conveying your opinion to solicitors, barristers, other experts and be prepared to appear in court (or alternatives such an arbitral hearing) and provide your evidence as oral testimony., • Be able to communicate complex technical issues to non-technical people in written and verbal formats, • Be able to think logically and construct a logical, cohesive and justifiable opinion that can withstand scrutiny., • Fluency in English to the highest standard, where each word should be carefully chosen and subject to scrutiny from lawyers and opposing experts. Ability to draft detailed reports for submission in the legal process under pressure of immovable deadlines under minimal supervision., • Have a sound knowledge of UK and international (particularly BS EN and/or US) industry standards, regulations and guidance, as well as understanding and experience of the requirements of the relevant authority approvals process (e.g. Building Regulations) and its significance to projects., • Have an enquiring mind and an ability to objectively analyse engineering systems, • Enthusiasm to learn from others and to share own knowledge and experience., • Chartered Engineer status as well as other relevant professional memberships or registrations, • An interest in engaging with expert-witness-specific CPD and ongoing personal development activities. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact If shortlisted, one of our recruitment team will be in touch to arrange a introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, click here to find out more. Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list. #LI-HYBRID

This role sits within a high-performing engineering group responsible for building and supporting the core systems that underpin real-time trading activity. The successful candidate will work across the full software development lifecycle, contributing to the design, build, deployment, and optimisation of highly scalable, performance-critical applications. Key Responsibilities • Build, test, and enhance high-performance trading systems using C++ and Python, • Translate quantitative models and trading logic into robust production-ready software, • Develop internal tools and interfaces used directly by front-office trading teams, • Improve market data ingestion, exchange connectivity, and real-time data flows, • Contribute to distributed systems, low-latency communication, and performance tuning initiatives, • Take part in design discussions, code reviews, profiling, and CI/CD improvements, • Gain hands-on exposure to algorithmic trading infrastructure, market structure, and risk platforms Candidate Profile • Early-career experience demonstrated through internships, placements, or academic projects (0–2 years), • Bachelor’s or Master’s degree in Mathematics, Physics, Engineering, or a related discipline (graduating between December 2025 and June 2026), • Strong programming capability in C++ and Python, • Solid foundations in data structures, algorithms, and operating systems, • Comfortable working in Linux/Unix environments, • A strong focus on writing clean, efficient, and maintainable code, • Excellent analytical thinking and problem-solving ability, • Clear communicator with the ability to collaborate effectively in team environments, • Genuine interest in financial markets (prior finance experience not required) Desirable Experience • Exposure to distributed systems, concurrency, or network programming, • Experience working with low-latency or real-time systems, • Familiarity with trading platforms, data pipelines, or simulation tools, • Open-source contributions or personal technical projects that demonstrate initiative Contact Ciara Clarke at Harrington Starr for a confidential discussion.

Lead AI Engineer – Next-Gen Predictive Intelligence Platform Startup / AI / Product / Financial Services Central London (2–3 days in office) | £100k-£120k base + strong equity A high-growth FinTech startup in London is building an AI-powered Predictive Intelligence Platform for corporates and financial institutions. Their technology connects market events, client data, and emerging opportunities through advanced agentic AI and RAG-based systems, helping financial institutions anticipate client needs before they arise. They have built a live MVP in record time, with enterprise client demos underway, and are now hiring a Lead AI Engineer to join as permanent hire number four in the founding technology team. This is a rare opportunity to join at the inflection point — a hands-on, high-ownership, high-impact role where you’ll shape the AI core of a company redefining predictive intelligence in finance. Role Overview Reporting directly to the CTO, you’ll lead the design and productionisation of the company’s core AI systems. You will architect, implement, evaluate, and scale RAG pipelines, agentic workflows, and LLM-based intelligence frameworks, driving real-world impact across financial markets. The role is approximately 80% hands-on and 20% strategic, covering Python engineering, system architecture, and model evaluation, while collaborating closely with product and domain experts. Key Responsibilities • Build and deploy RAG pipelines, agentic AI workflows, and LLM integration frameworks, • Own AI evaluation, guardrails, and observability systems, • Translate financial workflows into scalable AI capabilities, • Collaborate directly with the CTO and external development teams, • Help shape the AI roadmap and mentor future hires About You • Strong experience in LLM engineering, RAG systems, prompt orchestration, and agentic architectures, • Proven experience delivering ML/AI systems into production environments, • Excellent Python engineering and system design skills, • Familiarity with APIs, MLOps, and cloud deployment (AWS, GCP, or Azure), • Clear communicator, comfortable in fast-paced, early-stage environments, • STEM degree required; MSc in AI, Computer Science, or a related field preferred, • You have experience in financial services/regulated industry, • You have B2B experience What’s on Offer • £100k-£120k base salary plus meaningful equity, • Join at ground level (hire number four) with real ownership and influence, • Work with an exceptional founding team from top-tier consulting, technology, and finance backgrounds, • Hybrid working model: 2–3 days a week in Central London, • Visa sponsorship not available

Company Insight: A leading quantitative trading firm is seeking a Data Engineer to join a high-impact data team operating at the core of a large-scale automated trading platform. Data underpins every decision in this environment. This role sits at the intersection of engineering, analysis, and live production, partnering directly with research and trading teams to ensure data flows are accurate, resilient, and research-ready. You’ll work hands-on with diverse datasets, build automation to support real-time systems, and play a critical role in maintaining the integrity of data that drives trading strategies globally. The Role: • Building and automating tools to onboard, classify, validate, and reconcile large, complex datasets, • Analysing and debugging data issues across multi-stage production pipelines, tracing anomalies back to source, • Performing data quality checks and maintaining the reliability of live data feeds supporting trading systems, • Partnering with quantitative researchers to clean, prepare, and featurise data for research and strategy development, • Supporting live trading operations by monitoring data health and resolving time-sensitive production issues, • Working with external data providers, exchanges, and brokers to improve data coverage and robustness Experience/Skills Required: • Experience working hands-on with large datasets to resolve complex, ambiguous issues, • A collaborative approach and comfort working with multiple technical and non-technical stakeholders, • 2+ years’ experience in data engineering, data science, or a related role (with a relevant technical degree), • Strong Python skills, • Experience working with SQL and relational databases, • Comfort operating in a Linux environment, • Exposure to ETL pipelines or production data systems is a plus, • Familiarity with financial or market data is advantageous but not required Pre-Application: • Please do not apply if you are looking for a contract or remote work, • Please ensure you meet the required experience section prior to applying, • Allow 1-5 working days for a response to any job enquiry

About Us: We are one of the world’s leading commodities trading houses, leveraging sophisticated technology to trade a broad range of energy, metals, and agricultural commodities globally. Our success is driven by cutting-edge analytics, high-frequency data processing, and a commitment to innovation. We are now looking for a Senior Python Engineer to join our dynamic team in London and drive our next wave of technological advancements. Role Overview: As a Senior Python Engineer, you will be at the heart of our technology platform, building robust systems that enhance our trading strategies, risk management, and data analysis. You will collaborate closely with quants, data scientists, and traders, providing Python-based solutions that directly impact the profitability of the business. This is an exciting opportunity to work in a fast-paced, high-performance environment where you can push the boundaries of technology in financial markets. Key Responsibilities: • Design, develop, and maintain highly efficient Python-based applications for commodities trading, risk management, and real-time data analysis., • Build scalable, high-performance data pipelines to process large datasets from multiple sources, including real-time market data and fundamental data., • Implement robust APIs and microservices to integrate trading systems, analytics platforms, and external data providers., • Optimize performance and scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring., • Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management., • Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence., • Work in a collaborative, agile team environment to rapidly develop and iterate on new features and tools. Qualifications: • 5+ years of professional experience in Python development, with a focus on building performant, scalable systems., • Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization., • Experience with distributed systems, parallel computing, and high-performance processing of large datasets., • Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases., • Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments., • Proficiency in developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar)., • Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes., • Experience in managing and deploying services in Linux/Unix environments., • Strong analytical and problem-solving skills, with a keen attention to detail and an ability to thrive under pressure., • Fluency in English is required. Preferred Skills: • Experience in commodities markets or broader financial markets., • Knowledge of quantitative modeling, risk management, or algorithmic trading., • Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? • Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions., • Innovative Culture: Be part of a culture that embraces new ideas, cutting-edge tools, and continuous improvement., • Competitive Compensation: Industry-leading salary, significant performance-based bonuses, and comprehensive benefits package., • Professional Development: Access to world-class learning and development resources, with opportunities for career growth., • Work-Life Balance: Flexible working arrangements, generous holiday allowances, and a strong focus on well-being.

Reward Gateway|Edenred is a global market leader in benefits and employee engagement. We help our clients and their leaders transform employee experience that will attract, engage, and retain top talent through employee benefits, strategic reward and recognition, well-being, and much more. As our Engineering Head of eCommerce, you lead the teams responsible for the delivery of our eCommerce marketplace products. You will drive the implementation and execution of our eCommerce initiatives, ensuring they are robust, scalable, and secure amidst a rapidly evolving tech landscape. You will guide a highly skilled Engineering team toward the creation of a global marketplace meeting the needs of both users and merchants. You will oversee delivery across both web and mobile apps with an API-first cloud-based approach, applying your knowledge to simplify and refine operational processes. Some of Your Responsibilities & Core Duties will be to: • Lead initiatives to enhance the eCommerce capabilities, aligning with the trend towards personalised mobile-first shopping experiences., • Contribute to the definition and delivery of Engineering roadmaps, anticipating technical challenges and managing interdependencies., • Oversee the entire software development lifecycle, from conception to deployment and maintenance, ensuring high-quality outcomes across all phases., • Implement best practices in coding, testing, and maintenance to enhance system scalability and performance, particularly for high-traffic events., • Ensure compliance with international financial laws and security standards, integrating appropriate solutions for global payments., • Set a high bar for software engineering excellence, emphasising efficiency, performance optimisation, and high availability., • Being a mentor to tech leads and managers across the Engineering organisation. The Experience and Key Skills you will have: • Experience in leading and managing large teams or projects in an eCommerce environment with Gross Merchandise Value above $500M., • Ability to partner very closely with the Product team to deliver the best outcomes for our customers, • Strong technical expertise in API development, coupled with a deep understanding of software architecture and design patterns., • Expertise in cloud technologies, particularly AWS, with the ability to deploy and manage scalable cloud-based solutions., • Broad knowledge of eCommerce, including insights into online retail, customer engagement, digital marketing, and mobile commerce technologies., • Be driven by data and experiments to improve customer experience., • Excellent analytical and problem-solving skills, and confident in making data-driven decisions., • Experience communicating with senior stakeholders, including executives, partners, and vendors., • Ability to thrive in a fast-paced, continuously evolving environment, fostering a culture of innovation and excellence. The Interview Process: • Online screening interview with the Senior Talent Partner and the Director of Engineering (App & Merchant Experience), • Final interview with the VP of Product Engineering, Head of Platform, and Director of Engineering (App & Merchant Experience) Be comfortable. Be you. At Reward Gateway|Edenred, we encourage all our employees to feel comfortable expressing their passion, creativity, and individuality at work. We value diverse cultures, backgrounds, and experiences because we truly believe that diversity drives innovation. Join our community, express yourself, and help us make the world a better place to work.

Join a world-class team shaping the future of quantitative research and trading. Our client is seeking an academically exceptional Quantitative Developer to be part of their London build-out. This is a unique opportunity to apply cutting-edge engineering and quantitative skills in a highly collaborative environment. You'll work on delivering market data to trading systems, building integrated research and execution frameworks for high-performance predictors, and designing advanced simulation platforms in a cloud-native setting. Expect to partner closely with leading researchers, translating innovative ideas into production-quality code that drives real-world impact. Responsibilities: • Design, develop, and maintain core components of the trading system, • Champion best practices in software engineering across the team, • Build robust testing frameworks for all trading components, • Develop automated, fault-tolerant monitoring and tracking systems, • Proven experience as a Research Engineer, Software Engineer, or Quantitative Developer, • Strong programming expertise in Python and/or C++, • Exceptional academic credentials from a top-tier university, with notable achievements such as Dean's List or equivalent honors

Reward Gateway, together with Edenred, are a global market leader in benefits and employee engagement. We help our clients and their leaders to transform employee experience that will attract, engage and retain top talent through employee benefits, strategic reward and recognition, well-being, and much more. With our shared missions of ‘Making the World a Better Place to Work” and ‘Enriching connections, For good’. You’ll be contributing to improving employee engagement and building better, stronger and more resilient organisations to improve people’s daily lives. Our shared mission guides our every action and charts a sustainable path to a better future. We’re looking for a hands-on Solutions Architect with extensive Domain Driven Design experience to contribute to shaping the future of Reward Gateway’s technology landscape. You will be part of the team defining and implementing architectural solutions that support platform modularisation, authentication, CRM and marketing integrations, and scalable system design. You’ll work with engineering and product teams to turn ideas into practical, high-impact solutions. Key responsibilities include: Authentication & Identity Strategy • Design secure, scalable authentication flows, • Lead architectural design for modular monoliths and microservices, based on the DDD approach, • Architect integrations with CRM tools (Braze, Heap.io, LaunchDarkly) and broader ecosystem, • Championing technology standards and patterns across engineering teams, • Contributing to enterprise roadmaps and technology strategy, • Guide engineering teams on architectural best practices, • Regular collaboration with enterprise architects on strategic alignment, • Partnership with security and compliance teams on governance requirements, • Produce architectural blueprints and transition plans, • Accountability for the creation and maintenance of architectural decision records., • Participate in architecture review processes and approval workflows, • Ensure compliance with enterprise architecture standards and patterns, identifying and controlling divergences from established patterns, • Escalate architectural decisions that require broader organisational input Skills and experience required: • A proven track record and senior-level expertise in software architecture roles within large-scale cloud-native platforms., • Deep practical knowledge and experience in domain-driven design, • Strong developer experience and knowledge around PHP is a nice-to-have, • Deep understanding of OpenID Connect, OAuth2, and SAML protocols, • Experience with CRM, Marketing, feature flagging, and analytics tools (Braze, Heap.io, Mixpanel), • Proven ability to lead architectural migrations and manage technical debt., • Excellent communication and stakeholder engagement skills The interview process: • Online interview with the Senior Talent Partner, • Online interview with the CTO, • Online interview with the VP of Engineering and CPO At Reward Gateway | Edenred, we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate. Be comfortable. Be you. At Reward Gateway, we want all of our employees to feel comfortable bringing their passion, creativity and individuality to work. We value all cultures, backgrounds and experiences, as we truly believe that diversity drives innovation. Express yourself, join our community and help us Make the World a Better Place to Work.

About Euphoric Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The Role We are looking for a Lead AI Engineer to drive the technical evolution of our AI-first platform and serve as our resident expert. You won't just be tuning hyperparameters in a notebook; you will be a core software engineer architecting the complex systems that make AI useful in production. In the immediate future, your time will be split between crafting complex AI processing architectures (40%) and hands-on data/backend engineering (40%), with the rest spent doing whatever is needed to ship. As we mature, your focus will shift toward closing the loop: using real-user data to optimize the platform via online evaluation and targeted, data-driven models. What You’ll Do • Architect & Engineer AI Systems: You won’t just call an API; you will build robust processing architectures that leverage off-the-shelf LLMs, RAG pipelines, and context engineering to solve hard problems. You will benchmark these systems rigorously to ensure they actually work, not just "feel" smart., • Build the Backend Foundation: You will spend significant time in Python (FastAPI, SQLAlchemy) building the APIs, data structures, and services that power the product. You are an engineer who ensures the "AI" is delivered on reliable, production-grade rails., • Close the Data Loop: As we launch, you will lead the transition from "zero-shot" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback., • Be a "Full Stack" Partner: While the backend/data is your home, you are willing to jump into the frontend (React/TS) to implement features (AI or not) or debug an integration. You understand that an algorithm isn’t "done" until the user interacts with it successfully., • Mentor & Lead: You will work alongside full-stack engineers, upskilling the team on AI concepts and best practices. You are the "from-the-trenches" expert who helps the team distinguish between Twitter hype and engineering reality., • Strategic Advising: You will help Product and Leadership navigate the map of what’s valuable and what’s possible, steering the roadmap toward features that achieve business impact through data-driven optimization. Skills & Experience • Production Engineering (5+ years): You are a strong software engineer first. You have extensive experience building and maintaining backend services in Python (ideally FastAPI or similar async frameworks) deployed to modern cloud providers (GCP/AWS) or point solutions (Railway, Render, Vercel), • Applied AI Architecture: You have built complex applications using Foundation Models / LLMs. You understand context window management, prompting strategies, and how to chain models together to achieve reliable results., • True ML Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn) and know when a simple classifier is better than a generative model., • Data Fluency: You understand how to build datasets from scratch (bootstrapping, crowdsourcing) and how to evaluate them (cross-validation, precision/recall, business metrics)., • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win., • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while managing the tradeoffs between technical debt and delivery speed. You’d rather ship a heuristic that solves the user's problem today than a perfect model two weeks late. What We Look For We’re a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: • Thrive in fast-paced, feedback-rich environments, • Take your work seriously, but not yourself, • Be proactive, playful, and deeply curious, • Want to build something that matters, • Be willing to “do what it takes” What You’ll Get • Base salary c£140k, • Remote-first setup with optional shared work space passes and a hub in London, • Apple devices and the best AI tooling, • Private healthcare via Vitality, • 3% employer pension contribution (min 3% employee contribution), • Meaningful early-stage share opportunities, • 25 days holiday per year, plus bank holidays., • Career rocket fuel - real growth, real ownership, real impact

Java Software Engineer A leading trading firm in London is growing its engineering team and is looking for a high-performance Java Engineer to help build ultra-low-latency systems used directly on live trading desks. What You’ll Be Doing • Designing and building low-latency Java systems used in electronic trading, • Developing highly concurrent, multithreaded applications, • Optimising performance at the microsecond level, • Working closely with traders, quants, and infrastructure teams, • Improving throughput, stability, and execution speed, • Writing clean, well-tested production code What We’re Looking For • Strong commercial experience with Core Java, • Deep knowledge of multithreading, concurrency, and JVM internals, • Proven experience building low-latency / high-throughput systems, • Strong understanding of networking, memory management, and performance tuning, • Experience in trading, market data, risk, or execution systems preferred Nice to Have • Experience with FIX, market data feeds, or pricing engines, • Knowledge of Linux internals, • Background in finance, trading, or HFT environments What’s On Offer • £130k base, • Discretionary bonus, • 3 days a week in the office, 2 days a week WFH

DeFi Developer — High-Performance Crypto Trading Systems (London) Our client is hiring a sharp, ambitious DeFi Developer to join their DeFi trading team building high-performance systems that operate directly on decentralized markets. You’ll work hands-on across the full trading stack — from on-chain integrations and execution logic, to infrastructure, monitoring, and performance optimization. What you’ll do • Build and ship production-grade code (primarily Rust + Python), • Develop systems that interact with on-chain protocols and infrastructure, • (Solidity, JSON-RPC, Solana, MEV workflows, etc.), • Improve real-time monitoring, execution pipelines, and strategy tooling, • Debug and optimize end-to-end performance: latency, reliability, throughput, • Work with protocol teams and external projects to unlock new market opportunities, • Grow into end-to-end ownership across DeFi integrations and trading infrastructure Why this role is unique • Full systems exposure — infrastructure, execution, strategy logic, on-chain interaction, • DeFi at the core — learn how protocols work under the hood and how on-chain dynamics create edge, • Elite teammates — small, world-class group of engineers, quants, and traders, • Startup velocity — fast decisions, frequent shipping, immediate production impact This is an ideal role for someone who sees themselves as a top technologist and wants to work in one of the most cutting-edge environments in finance and crypto. What we’re looking for We’re looking for driven developers who want to learn fast by working on hard, meaningful problems. You should have: • 3–7 years of professional software engineering experience, • Strong fundamentals and ability to write clean, testable, efficient code, • Solid CS foundation: algorithms, data structures, concurrency, networking, etc., • Strong ownership mindset and clear communication Signals of technical excellence (any of these helps): • Top academic performance in CS / math / physics / engineering, • Competitive programming / olympiad success (ICPC, IMO, IOI, IPhO, etc.), • Experience at a highly selective tech company, trading firm, or fund Language & technical background • Rust preferred, but you should be strong in at least one systems/statically typed language:, • C++ / Java / Go / C# / Kotlin / similar Nice to have Strong preference • Understanding of trading systems, market structure, or strategy implementation Bonus • DeFi familiarity: smart contracts, blockchain APIs, MEV, Solana, • Rust experience, • Infrastructure/observability tools (AWS, Grafana, etc.), • Strong math/stats background (modeling, simulation) Team culture Our client values: • High ownership and initiative, • Curiosity, intellectual honesty, and rapid learning, • Clear, direct communication, • No ego, no politics — just building and improving together

Data Scientist - Brand Uplift/Marketing London – Hybrid Up to £80,000 About the Role We are seeking a Data Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build deeper connections with their customers. Key Responsibilities • Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights., • Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions., • Prototype and validate new technical ideas, bringing cutting-edge research into production., • Work with clients to translate insights into actionable strategies that drive growth., • Implement production-level coding practices, including unit testing and documentation., • Communicate complex technical concepts to non-technical stakeholders. What We’re Looking For • 3+ years’ experience working with Python for data preparation, aggregation, and transformation., • Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media., • Proven experience applying ML/statistical methodologies to large datasets (>1TB)., • Experience building NLP and Computer Vision products with engaged user bases., • Knowledge of open-source NLP & CV libraries and ability to apply the latest research into real-world applications., • Skilled in explaining technical findings to business audiences in clear, concise English., • Degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, or similar); Master’s preferred. Please note, this role cannot offer sponsorship.

Senior Estimator required in Central London GVR Solutions are currently representing a leading and very well-established Contractor, based in Central London, who have entered the market for an experienced Senior Estimator to join their pre-construction team. The business are looking to recruit someone who is ambitious and wants to progress within the business. Depending of the level of experience of the successful candidate, the view would be to progress into a pre-construction management role overseeing the Estimating team. As a multifaceted contractor they work with in the Data Centre, Aviation and Commercial sectors primarily within London. Responsibilities of the Senior Estimator: • Oversee all tender and bid activity including pricing, preparation and submission, ensuring accuracy and quality, from initial enquiry and take-offs, • Provide detailed breakdowns of tenders to directors and clients, • Analysis of risk and opportunity, • Obtain best value sub-contract and supplier prices in order to maximise value for money within secured works, • Procurement of sub-contract works including documentation and compliance, • Attend regular tender review meetings, • Effective communication with clients, suppliers, external consultants and colleagues through to senior management. The Senior Estimator must have/be: • Minimum 7 years previous Estimating experience working within either a main contracting or refurbishment subcontractor environment., • A team player, • Previous experience as an Estimator, • Experience working on refurbishment projects within London or the UK If you are interested in the above Senior Estimator role, then please get in touch.