Cd jobs in United Kingdom

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.

Job title: Senior Full-Stack AI Engineer Location: GSK HQ Team: Enterprise AI - Data Science UK Contract: 6 months Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Role Overview GSK are seeking a Senior Full Stack AI Engineer with a strong focus on frontend engineering, user experience and product delivery. You will lead the design and implementation of immersive, interactive web experiences that leverage large language models (LLMs) as core product capabilities. In this role you will collaborate closely with product, UX/design, ML research and platform teams to translate user needs into elegant, reliable AI-powered experiences, and drive agile delivery from prototype to production. Key Responsibilities • Deliver highly interactive frontends (involving text based and video based chat experiences) built with modern frameworks like React that integrate LLM-driven features (conversational interfaces, tool-assisted workflows, structured editors, visualizations) to boost marketing productivity., • Enable measurement / analytics to track usage of the app and of LLM features, • Own the end-to-end product experience for LLM-enabled features: collaborate with UX/design to craft flows, run rapid prototypes, and iterate based on user testing and analytics., • Integrate LLMs into the application stack, handling prompt design, response parsing, tool use, chaining, and RAG strategies while balancing latency, cost and reliability., • Implement frontend architectures and state management patterns that scale for complex, real-time, and collaborative UIs (React hooks, Context, Redux/Zustand/Recoil, server-state patterns)., • Build responsive, accessible, and performant UI components and design systems (component libraries, theming, design tokens) to ensure consistent product quality and fast iteration., • Implement real-time and progressive UX patterns (WebSockets, SSE, streaming LLM responses, optimistic updates, incremental rendering) that make AI interactions feel fast and human-centered., • Collaborate on frontend work with UX designers and researchers, follow standard coding conventions, and implement best practices for design, accessibility, testing and observability., • Work with backend and platform engineers to define APIs, ingestion pipelines, vector retrieval, caching and rate-limiting strategies that support robust LLM behavior., • Drive agile delivery: break down features into deliverable increments, run sprint planning, pair with the tech PM on prioritization, and ensure production readiness through CI/CD, feature flags and canary releases., • Define and instrument UX and model-level metrics (engagement, latency, hallucination rates, user satisfaction) and use those signals to prioritize improvements., • Ensure security and privacy are integrated into the UX (PII handling, consent flows, data minimization, redaction and access controls). Minimum Requirements • 6+ years building production web applications with proven ownership of user-facing features; significant experience in frontend engineering and product delivery., • Deep expertise with React (functional components, hooks) and modern frontend ecosystems including CI/CD., • Demonstrable experience building highly interactive, immersive frontends (rich state, animations, canvas/visualizations, streaming UIs or collaborative editing)., • Strong UX sensibility and experience working directly with designers to translate wireframes and prototypes to polished, accessible product UIs., • Hands-on experience integrating LLMs / generative models into applications (OpenAI, Anthropic, local/open-source LLMs): prompt engineering, response handling, safety guardrails, RAG architectures., • Good understanding of how large language models work, including transformer architecture, tokenization, attention mechanisms, decoder/encoder-decoder variants, fine-tuning/few-shot approaches, and common failure modes (hallucinations, bias, context-window limitations)., • Solid backend experience (Node.js/TypeScript, Python, or similar) to collaborate on APIs, authentication, ingestion, and retrieval layers — enough to design pragmatic interfaces and own cross-stack features., • Practical experience building retrieval-augmented generation pipelines (embeddings, vector stores, chunking/indexing)., • Proven track record delivering features in agile teams: sprint planning, incremental delivery, feature flagging, A/B tests and operationalizing metrics., • Strong software engineering fundamentals: testing (unit/integration/E2E), observability, performance profiling, and security-aware development., • Excellent communication skills and experience mentoring engineers and collaborating across product, design and ML teams. Preferred Requirements • Familiarity with LLM orchestration and tools (LangChain, LlamaIndex, Haystack, OpenAI/Anthropic SDKs)., • Advanced visualization/graphics skills or experience building interactive applications, • Experience with design systems and component libraries (Figma workflows, design tokens), • Background in regulated industries (healthcare, pharma, finance) with awareness of compliance and data governance constraints., • Contributions to open-source projects, public talks or technical writing about LLM-enabled UX or frontend engineering. How to Apply Please submit your CV via the application form. If your initial application is successful, one of our recruiters will be in touch. Should you reach this stage, you will likely be required to submit the following in addition to your CV: • One or two recent projects where you led the frontend/UX for an LLM-enabled product (provide links, screenshots, architecture diagrams or repos where possible)., • The primary UX decisions you made and why (trade-offs, accessibility/performance considerations)., • Key technical challenges you faced (model behavior, latency, security) and how you solved them. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting ___ site.

🚀 DevSecOps Engineer Lead 📍 Location: Hybrid working 🕒 Type: Permanent, full time (40 hours per week) 🌍 Visa sponsorship: Available if required Ready to lead DevSecOps at enterprise scale and shape how secure software is delivered end to end? This is a senior, high impact role with real ownership and influence. We are hiring a DevSecOps Engineer Lead to define and deliver a modern, secure CI/CD capability across multiple digital product teams. You will play a key role in a large scale digital transformation, setting standards, driving automation, and embedding security by design throughout the delivery lifecycle. You will lead DevSecOps strategy across multiple digital product teams, owning standards, tooling, and delivery practices. The environment is Azure based, with Azure DevOps used alongside Salesforce Copado to deliver secure, automated pipelines across the estate. 🔧 What you will be doing • Owning the DevSecOps strategy and roadmap across cloud native platforms, • Leading and mentoring DevOps engineers, setting best practice for CI/CD and automation, • Designing scalable, secure DevSecOps architectures aligned to enterprise standards, • Standardising CI/CD pipelines, with a strong focus on Salesforce Copado, • Driving secure by design practices across code, containers, clusters, and cloud, • Managing Salesforce deployments and release processes using Copado, • Partnering closely with product, engineering, architecture, and supplier teams, • Embedding observability and DORA metrics to improve quality and reliability, • Ensuring strong governance, audit readiness, and regulatory compliance ✅ What we are looking for • Proven DevSecOps leadership experience in enterprise scale environments, • Strong hands on experience with CI/CD tooling, automation, and cloud infrastructure, • Deep Salesforce knowledge, including Copado CI/CD and release management, • Experience with APIs and integration patterns such as REST, SOAP, and middleware, • Solid understanding of governance, change control, and compliance standards, • Confident communicator who can influence senior technical and non technical stakeholders 🌟 Why this role? • High visibility role with real influence over DevSecOps standards, • Opportunity to lead Salesforce Copado delivery at scale, • Complex technical challenges in a mature enterprise environment, • Supportive culture focused on quality, security, and continuous improvement, • Visa sponsorship available where required

SC Cleared / SC Clearable Machine Learning Engineers – Contract I’m currently supporting a UK-based organisation delivering advanced technical solutions into highly regulated environments across government, defence and national infrastructure. We’re looking to speak with Machine Learning Engineers interested in contract opportunities (£500–£650 per day). This role is focused on traditional Machine Learning, with a strong emphasis on Computer Vision — not GenAI / LLM work. What we’re looking for: • 3+ years’ commercial experience in Machine Learning, • Strong experience in Computer Vision (e.g. object detection, image classification, segmentation), • Experience building, training and optimising ML models, • Python (NumPy, Pandas, scikit-learn) and frameworks such as TensorFlow or PyTorch, • Experience deploying models into production environments (cloud platforms, Docker, CI/CD pipelines) Clearance requirements: • Active SC Clearance, or, • SC Clearable (must have resided in the UK continuously for the last 5 years) These roles offer the opportunity to work on impactful, real-world projects where robust ML solutions are critical. If you’re exploring new contract opportunities and meet the above criteria, please apply or drop me a direct message.

Lead iOS DevOps Engineer - Mobile – On-Prem, Kubernetes, CI/CD, Swift Oliver Bernard are currently working with a fast-growing SaaS company, based in London, who are looking to take on a Lead DevOps Engineer within their Mobile team as they continue to build out their iOS capabilities. Working in a Mobile focused environment, the incoming engineer will be responsible for driving DevOps best practices across this team, and be hands-on day to day whilst leading other DevOps Engineers within this function. A well-cultured environment, the company have a sizeable team with plans to upscale across various levels. To be a suitable fit for this opening, experience with the following is required: • At least 2-3 years operating in a Lead capacity, managing others, setting in place best practices, and coaching / mentoring team members, • History of working on Mobile platforms, with prior hands-on experience across Xcode and Swift, • Containerisation / Orchestration with Kubernetes, • Extensive CI/CD work (ideally with Jenkins and / or BitBucket), • Scripting experience with Python and Bash, • Strong knowledge across Automation, Monitoring and Security This opportunity is only open to engineers currently operating at Lead level, can offer £120-140K (dependant on experience) and operates a hybrid working model (3 office days p/week required). Lead iOS DevOps Engineer - Mobile – On-Prem, Kubernetes, CI/CD, Swift

Exciting opportunity for a Salesforce QA Test Lead to join this World Leading Energy Trading company on a critical trading project. This will be a 6-12 Month contract role initially with the view to extend on an ongoing basis. We're looking for an experienced Test Lead to drive end-to-end quality across complex Salesforce programmes. What you’ll do: • Lead functional, integration, regression & UAT testing, • Own test strategy, governance & quality metrics, • Hands-on Salesforce testing (Lightning, LWC, integrations, APIs), • Build automation frameworks using Python + Selenium, • Integrate tests into CI/CD (GitHub), • Mentor QA engineers and lead distributed teams What you bring: • 10+ years QA experience (3+ in Salesforce), • Strong Python/Selenium automation expertise, • Salesforce Lightning & API testing experience, • CI/CD, Agile/Scrum knowledge, • Excellent stakeholder & leadership skills With a focus within Energy Trading, Oil & Gas, Financial Markets and Commodities, we offer a transparent Recruitment Service that has proven to be reliable and effective for over 40 years. We are ISO accredited and proud of our excellent TrustPilot Reviews. Please telephone for an immediate response or email your CV for a quick response. Eaglecliff Ltd is acting in the capacity of an employment agency for permanent recruitment and an employment business for contractor resourcing.

Lead QA Engineer - E-Commerce / Advertising Oliver Bernard are currently seeking a Lead QA Engineer to join a well-established team for a E-commerce/Advertising client of ours. You’ll take direct ownership of automation development, manual validation of complex features, and ongoing improvements to QA frameworks, processes, and metrics The ideal candidate will have proven experience as a Lead QA Engineer, ideally operating in a Senior, Lead or manager capacity in their current role, and have the following: • Strong hands-on experience with TypeScript/JavaScript, • Comfortable building Automation frameworks with Playwright (and Cypress), • History of working with GitHub Actions for CI/CD, • Proficiency in exploratory and manual testing for complex web products, • Strong Management/Strategy experience is required. This is an on-site opening, based in London 1-2 days per week, and can offer £60-70k dependent on experience. Lead QA Engineer - E-Commerce / Advertising

Our client is expanding its advanced AI capability across mission-critical platforms used in environments worldwide. Fimador are seeking a rare blend of hands-on AI engineer, technical authority, and team leader — to shape how their intelligent systems are designed, built, and responsibly deployed at scale. This is not a management-only role. This is for someone who still loves to build, solve complex engineering problems, guide other engineers, and set the technical direction for AI across large, high-impact systems. Key Responsibilities: • Architect, design, and deliver scalable AI and machine learning solutions end-to-end., • Remain hands-on in building complex AI components and solving model or system challenges., • Lead, mentor, and technically guide a team of AI engineers and developers., • Define engineering standards, development practices, and quality benchmarks for AI initiatives., • Own technical estimations, feasibility assessments, and delivery quality across AI workstreams., • Lead technical troubleshooting, root cause analysis, and performance optimisation., • Collaborate closely with architecture, product, and DevOps teams to embed AI into larger ecosystems., • Continuously assess and introduce new AI tools, frameworks, and approaches to maintain innovation. About you: This role suits a senior engineer who has evolved into a technical leader without losing their passion for building. • Ideally a degree in Computer Science, Engineering, or similar., • 5+ years of software engineering experience using modern object-oriented languages (e.g., Java, C#, Python)., • Strong Python capability alongside at least one other major language., • Practical experience building with Generative AI technologies in real solutions., • Experience leading or mentoring engineering teams (6+ engineers)., • Strong foundations in OOP, system design, and engineering best practices., • Hands-on knowledge of AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Experience with orchestration/integration frameworks such as LangChain or Semantic Kernel., • Solid understanding of ML concepts (supervised/unsupervised learning, transformers, CNNs/RNNs, model evaluation)., • Experience with prompt engineering, RAG pipelines, and model fine-tuning., • The judgement to identify where AI adds value — and where it doesn’t., • Experience deploying and operationalising LLMs (exposure to Microsoft AI Foundry or Ollama advantageous)., • Strong grasp of CI/CD, testing, version control, secure coding, and modern engineering workflows., • Exposure to MLOps tools such as MLflow, Kubeflow, or Azure ML.

Software Product Engineer – AWS Contact Centre 12‑month contract | Up to £700/day | UK Hybrid We’re hiring hands‑on Senior Engineers to build and enhance AI‑enabled Amazon Connect platforms for a major UK enterprise. You’ll work with: • Amazon Connect, Contact Flows, Amazon Lex, Lambda, • TypeScript / JavaScript / Python, • CI/CD, serverless, monitoring, • LLM‑powered features and AWS AI tools You must be: • A hands‑on coder (not an architect), • Experienced with Connect + Lex (visible in your CV), • Strong across AWS, serverless and DevOps, • Comfortable working in large, complex environments 12‑month contract, hybrid working, up to £700/day. Click the link to apply or Email: Must be able to work 2-3 days in London.

Senior Android Engineer London (Hybrid — 2 days onsite per week) Kotlin • Compose • Coroutines • Modular Architecture • KMP A high-growth technology business in the data and privacy space is looking for a Senior Android Engineer to join the team building their flagship app. This product helps users understand, control and benefit from their data, and sits at the heart of a rapidly expanding consumer and B2B ecosystem. Their Android app is fully Kotlin-based, heavily modularised, and all new features are built with Jetpack Compose. Coroutines and Flows are used extensively throughout, testing is taken seriously (unit, UI and integration), and Kotlin Multiplatform is now being introduced to share code with iOS. You’ll be joining a collaborative engineering group working on major new features, shaping technical discussions, influencing architecture and API design, and helping to evolve a category-defining product used across the UK, US and several new international markets launching in 2026. What they’re looking for • 5+ years commercial Android experience, • Deep Kotlin knowledge, • Strong experience with Coroutines and Flows, • Experience with automated testing + CI/CD, • Ability to discuss architecture and make tradeoff decisions, • Clear written and verbal communication skills Benefits • Competitive salary + meaningful share options, • Hybrid working (3 days WFH), • 32 days holiday, • Your choice of hardware, • Annual training and conference budget, • Regular team days out, • Real autonomy within a fast-growing organisation

OnSite Kings Cross- London 3 days a week £600-650 a day Inside IR35 Role Overview We are looking for a highly experienced and technically profound Full Stack Tech Lead to drive the architecture and execution of our core technology stack. You will serve as the technical authority for the team, building and evolving a large-scale platform built on C#/.NET and Next.js, leveraging the full capabilities of Google Cloud Platform (GCP). This role requires a blend of hands-on coding (approximately 60-75%), strategic architectural thinking, and dedicated mentorship. We are looking for a leader who can operate confidently in a high-stakes environment and share ownership of complex technical decisions alongside our existing leadership team to ensure we deliver robust, scalable, and maintainable solutions. Key Responsibilities • Architectural Leadership: Lead the design and implementation of C#/.NET backend services, APIs, and core business logic. Define and enforce the technical vision and design patterns across the full stack., • System Integration: Oversee the seamless integration with external financial, risk, and payment services, ensuring high reliability, security, and data integrity., • Collaborative Decision Making: Partner with existing technical leadership to share ownership of complex architectural decisions, balancing innovation with platform stability., • Team Leadership & Mentorship: Lead, coach, and motivate a team of developers, conducting regular code reviews and facilitating knowledge sharing to raise the overall engineering bar., • Strategic Planning: Collaborate with Product Owners to refine the technical roadmap, estimate complex features, and manage technical debt within an Agile framework., • Full Stack Development: Remain hands-on with development, implementing complex features and solving critical performance bottlenecks across the C# and Next.js stack., • GCP Platform Strategy: Own the deployment, monitoring, and scaling strategy on Google Cloud Platform, ensuring the platform can handle large-scale traffic and data., • Process Improvement: Champion Agile methodologies, optimising CI/CD pipelines and establishing metrics for system health and engineering velocity. Requirements • 7+ years of progressive experience in software development, with significant time spent in an architectural or technical leadership capacity., • Expert-level proficiency in C# and the .NET framework for designing and implementing high-throughput backend services and core business logic., • Proven track record of building large-scale platforms and managing the complexities that come with high-volume environments., • Hands-on experience with external integrations, specifically involving financial, risk management, or payment gateway APIs., • Expert-level proficiency in Next.js/React, including performance optimisation and server-side rendering architecture., • Extensive experience with Google Cloud Platform (GCP), including cloud-native architecture, cost optimisation, and security best practices., • Practical experience with Infrastructure as Code (IaC), for managing GCP resources., • Experience with large-scale data processing or streaming technologies on GCP.

• Engineering Lead, • £110,000–£130,000 + Share Options, • London | Mostly Onsite We’re working with a high-growth London fintech scale-up addressing real-world financial challenges through practical, user-focused technology. Backed by strong investment and growing customer traction, our client is entering a critical stage of technical evolution. This hire will play a central role in strengthening the platform, refining engineering standards and preparing the technology for its next phase of scale. The Engineering Lead will take ownership of architecture and technical direction while remaining deeply involved in hands-on development, infrastructure decisions and release quality. Role Highlights – The Engineering Lead will: • Lead, mentor and develop a 6-person onshore/offshore engineering team, • Architect and enhance scalable, secure cloud-native systems, • Contribute directly to full-stack development across TypeScript, JavaScript and React, • Improve delivery standards across CI/CD pipelines, DevOps practices and automated testing, • Collaborate with the CEO and Product function to align technical delivery with commercial priorities You Will Need – The Engineering Lead will bring: • 5+ years’ experience in software engineering, including technical leadership responsibility, • Strong hands-on backend development experience within AWS-based environments, • Practical expertise with Docker, API-led architectures and modern data stores such as PostgreSQL or MongoDB, • Experience leading distributed or hybrid engineering teams, • Advanced capability in system architecture, scalability planning and performance optimisation Why You’ll Love It – The Engineering Lead will benefit from: • £110,000–£130,000 base salary plus share options, • Full ownership of technical direction and engineering culture, • A defined pathway to scaling into a multi-team leadership role within 12–18 months, • 25 days’ holiday + birthday off, Cycle to Work scheme and pension salary sacrifice, • £1,000+ annual learning and development budget This opportunity is ideal if you enjoy remaining close to the code while shaping engineering strategy. You’ll influence architectural decisions, improve system resilience and build a high-performing team around you — all within a small but ambitious technology business that values pragmatic, high-quality software

Senior Python Quantitative Developer sought by a specialist and multi-award-winning Systematic Hedge Fund in a brand-new Core team designing and implementing a greenfield centralised Python/SQL/Linux/Docker platform for Backtesting, Pricing, Risk and Performance to be used across all Funds and Investment teams. Our client is an early Quantitative Investment Firm, managing around $10BN+ and with a focus on Scientific Investing and new ideas. They also boast a rare and highly reputable culture and working environment geared towards collaboration and communication, with zero siloes, and industry-leading tenure. The firm totals around 150 staff, all of whom are office-based three or more days per week. This is a more technical Senior QD role which will involve collaborating with Quantitative Researchers and Portfolio Managers to architect, design and implement scalable solutions, addressing complex business needs. Primarily, you will be charged with delivering and maintaining critical components of the investment infrastructure, including the Data Interface Layer, Central Risk Calculations, and Backtesting Frameworks which will be a key tool for the Investment teams. Essential Skills & Experience: • Excellent Quant Development and Python skills, as per 3+ years of professional experience in Financial Markets, ideally in a Systematic Hedge Fund and/or dealing with Futures., • Quantitative Finance experience and knowledge, preferably with experience in developing financial Backtesting systems for Quantitative Strategies., • Hands-on experience with continuous integration and delivery systems such as Jenkins and GitLab CI/CD and a strong understanding of Software Development Life Cycle (SDLC) best practices, with knowledge of SQL, Linux and ideally Docker., • PhD/MSc level education in a numerate discipline from a top institution., • MATLAB experience highly desirable. This is an outstanding opportunity to join a world-class boutique Systematic Investment business, playing a key role in the delivery of a crucial core platform for use by cross-functional teams across multiple investment platforms.

Site Reliability Engineer (Contract) – £450- £500/day OutsideIR35 6‑Month Contract | Fully Remote | Immediate Start A leading technology‑driven organisation is looking for an experienced Site Reliability Engineer to join on a 6‑month contract. This role is fully remote and ideal for someone who thrives in a service‑focused, continuous‑improvement environment. You’ll be responsible for keeping critical services stable, secure, and performant while driving improvements across infrastructure, automation, and operational workflows. Key Responsibilities • Maintain and improve production services with a focus on reliability, performance, and operational excellence, • Own and enhance Azure‑based infrastructure, ensuring clean, scalable, and well‑documented environments, • Lead improvements across CI/CD, IaC, monitoring, and operational tooling, • Troubleshoot and optimise traffic routing, security, and performance across Azure networking components, • Contribute to continuous improvement initiatives, reducing toil and increasing automation, • Collaborate with engineering teams to ensure best practices are followed across deployments and service operations Essential Skills • Azure DevOps – broad experience across pipelines, repos, service operations, and automation, • Azure Front Door – strong hands‑on experience with configuration, routing, WAF, and performance optimisation, • Azure Application Gateway – deep understanding of rules, listeners, routing, and security, • Infrastructure as Code – Terraform and GitHub‑based workflows, • Azure Containers – experience with containerised workloads (AKS, ACI, or similar), • Strong SRE mindset: service health, continuous improvement, operational hygiene, and reducing manual effort Unfortunately, this role does not offer sponsorship. If your looking for a new challenge and this sounds like you, we'd love to hear from you. Please apply with your most Up-to-Date CV, please contact me at

A leading financial institution is seeking a skilled Platform Engineer with a focus on Kubernetes to join its growing team. This role sits within the Infrastructure and Platform Engineering department, supporting business-critical applications and services across the organisation. Key Responsibilities: • Develop and maintain a highly available Kubernetes platform, enabling internal teams to deploy and manage containerised applications effectively., • Collaborate closely with development and operations teams to streamline deployment pipelines and improve platform resilience and scalability., • Implement best practices for observability, monitoring, and alerting, ensuring system performance and reliability., • Support and automate infrastructure using tools like Terraform and Ansible., • Contribute to the ongoing evolution of the platform, including upgrades, architecture improvements, and technology selection., • Ensure the security and compliance of the Kubernetes environment, including access controls, patching, and policy management. Key Requirements: • Strong hands-on experience with Kubernetes in a production environment., • UNIX / Linux (Ubuntu & Red Hat), • Proficiency in infrastructure-as-code tools such as Terraform and configuration management tools like Ansible., • Solid understanding of Linux system administration and networking fundamentals., • Experience with CI/CD tools and workflows (e.g., GitLab, Jenkins)., • Familiarity with container image management and security scanning., • Knowledge of monitoring and logging stacks (e.g., Prometheus, Grafana, ELK)., • Scripting skills (e.g., Python, Bash) for automation and tooling., • Experience working in an agile, collaborative environment. Desirable: • Experience in the financial services sector., • Familiarity with cloud-native tools and architectures., • Competitive compensation package., • 10% pension, • Hybrid working model with modern office space in central London., • Collaborative and supportive team environment., • Opportunities for professional development and technical advancement.

About the Opportunity This is a unique opportunity for a Data Engineer to work at the intersection of cutting-edge technology and elite sports performance. You’ll join a collaborative, high-standard engineering team with a culture built around creativity, innovation, and excellence. In this role, you’ll play a key part in designing and developing scalable data pipelines and infrastructure that directly impacts decision-making at the highest levels of the football world—including performance insights for some of the most well-known footballers in the industry. This is the perfect environment for those passionate about leveraging advanced data engineering to drive real-world results in sports analytics. Key Responsibilities • Architect, design, build, test, and maintain scalable and high-performance data pipelines, • Ensure all systems adhere to best practices for data quality, integrity, and security, • Integrate modern data engineering tools and technologies into cloud-native infrastructure, • Develop tools and solutions to support sports data modeling, analytics, and predictive insights, • Collaborate with data scientists to enable end-to-end data workflows, • Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background • 4+ years of industry experience in Data Engineering roles, • Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins), • Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools, • Proficiency in data architecture, data modeling, and scalable storage design, • Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills • GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines., • Domain Knowledge: Understanding of sports-specific data types (event, tracking, scouting, video), • API Development: Experience building data-centric APIs using FastAPI, especially in serverless environments (e.g., Google App Engine), • Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale, • DevOps/MLOps: Exposure to Terraform, Docker, Kubernetes, and MLOps workflows What They Offer • A chance to work on real-world data that impacts elite football performance, • Access to high-value datasets, sports science teams, and cross-disciplinary experts, • A flexible hybrid working model (1 day per month in the London office), • The opportunity to grow within a digital-first team at a world-renowned football club, • The satisfaction of applying your engineering skills in an environment where your work directly influences results on the pitch

Security Engineer Confidential | AI Startup (Series A, Venture Funded) | London (Hybrid) We are a London and New York based, Series A artificial intelligence startup with $25m in funding from venture capital funds across San Francisco and Palo Alto. We have raised $25m to date, partner with some of the world’s largest and most complex enterprises (Fortune 500 and equivalent), and are currently growing our team from approximately 30 to 60 employees. We’re seeking a hands-on Security Engineer with 4+ years of experience in high-growth, cloud-native environments to help us enhance and implement security across our tech landscape including web application, cloud infrastructure and endpoints, working alongside our customers, and promote a security-first culture as we scale. As our first dedicated security engineering specialist, you’ll work both operationally and strategically, partnering closely with our Information Security & Risk Management Lead and collaborating cross-functionally with engineering, product, and other teams. You’ll own the technical aspects of security, implement and harden controls, manage threats, respond to incidents, elevate our security posture, ensure a security-first culture and drive strategic improvements and projects as we scale. You’ll also collaborate with our Solutions Engineering Lead on enterprise onboarding, helping customers navigate security, identity, networking, and compliance requirements during technical validation and rollout. Location: London Working pattern: Hybrid (3 days per week in a central London office) LOCATION Hybrid: London based in our office in Central London, with flexible, fluid work options that support in-person collaboration where it makes sense. We’re committed to building a diverse team and welcome people from all backgrounds to apply. If you’re excited about this role and our mission but aren’t sure you meet every qualification, reach out anyway. You may be just the right candidate. The Role What you’ll do: • Conduct security assessments, threat hunts, code and logs reviews, and penetration testing to identify vulnerabilities in our applications, and drive continuous monitoring improvements., • Design, implement, optimize, and monitor security controls and tooling from the ground up, strengthening security across endpoints, infrastructure, and application CI/CD pipelines., • Collaborate with engineering teams to raise the security bar through reviews, guidance, and automation., • Respond to security incidents in real time - manage containment, remediation, forensics, and root cause analysis. Also participate in tabletop exercises, incident simulations, and coordinate external penetration tests., • Partner with Solutions Engineering to support enterprise customer onboarding, including SSO integrations (SAML/OIDC), network allowlisting, and security reviews., • Join customer-facing technical and security discussions where needed, acting as a trusted security point of contact., • Risk Management: support the Information Security & Risk Management Lead with vendor security assessments to evaluate third-party risk, and ensure we meet our present and future regulatory and certification requirements (GDPR, ISO 27001, ISO 42001 etc.)., • Stay current on emerging threats, vulnerabilities and technologies, and contribute to company-wide security awareness initiatives. What You Can Expect • Modern cloud-native stack with the opportunity to influence tooling and architecture., • Immediate impact by choosing and deploying new tooling to enable a fast-growing business., • Customer-facing impact - help unlock enterprise deals and accelerate adoption by reinforcing trust, compliance, and smooth technical onboarding. Security as a sales lever, not a cost., • Autonomy and collaboration - the opportunity to focus on coding/programming and implementation, but also collaborating cross-functionally with other teams such as solutions engineering, product, and GTM., • Growth potential - opportunity to define our security architecture to ensure resilience and security, including HA and ZTNA in a growing global business., • You’ll work with people who are passionate about what they do, supported by leaders who are empowering, supportive and inclusive. Experience You might be a good fit if you have: • 4+ years in cybersecurity or technical security or solutions engineering roles., • Hands-on experience deploying and managing security tooling - such as DLP, EDR, IAM, MDM, SIEM, ZTNA, or vulnerability scanners, and enjoy solving problems at the implementation level., • Strong communication skills and comfortable communicating technical security concepts to non-security stakeholders., • Working knowledge of networking, Windows/macOS, and security protocols., • Experience with security reporting and compliance tools., • Cloud security knowledge (we use AWS)., • Proficient in programming languages e.g. Typescript, Python, Bash, or similar., • Strong skills in log analysis, threat investigation, and incident response., • A proactive and solution-oriented mindset, with a bias for action. Desirable It would be a bonus if you have expertise in, or a desire to gain experience in, one or more of the following (note that candidates are not expected to have comprehensive knowledge in all areas) • Hands-on experience with AWS and AWS security services (CloudTrail, GuardDuty, WAF, IAM, Security Hub)., • Experience supporting enterprise customers during technical onboarding or security validation., • DAST/SAST tooling and IaC security expertise., • Knowledge of Kubernetes and container security., • Identity & Access Management experience (e.g. Okta)., • Experience with JVM languages, Terraform/IaC, CDK, or React., • Familiarity with GDPR, ISO 27001, SOC 2, EU AI Act/LLMs., • Experience delivering audits or using GRC tools (e.g. Drata, Vanta), • Interest in AI and/or knowledge of AI security risks and frameworks (e.g. ISO 42001)., • Security qualifications or certifications such as Security+, CySA+, GSEC, CCSP, CISM, CISA, CISSP, ISO 27001 LI/LA.

Captur helps software understand real world scenes in real-time with an SDK for flexible, on-demand visual recognition. We’re a small, rapidly scaling team backed by top-tier investors; we recently closed a $6M seed round to accelerate product and go-to-market growth. We are global leaders in edge ML and have validated +150M images on-device for enterprise customers such as Lime. Next, expanding as a horizontal platform across use cases that require real-time speed, high volume and coverage across a wide range of mobile devices. Role Snapshot You’ll own core pieces of our Android SDK: performance, stability and developer experience. You’ll profile power, latency and memory, optimise threading and networking, shape public Kotlin APIs and harden telemetry. You’ll also take ownership of production issues surfaced by Solutions Engineering and Customer Success: reproduce, fix the root cause and ship improvements. You won’t handle customer contracting or sales calls; your focus is a fast, stable SDK that makes integrations effortless. In H1, you’ll be partnering with the Head of Mobile and our React Native SDK engineer to deliver the next-generation SDK: translate product requirements into a revised SDK architecture, lead implementation of the key features, run a staged beta and show before→after gains on crash/ANR, latency and battery on our device matrix. Key Responsibilities Performance and reliability • Profile and optimise on-device performance and data paths (battery, CPU/GPU, memory), • Own threading, scheduling and back-pressure; make frame-time and latency predictable across device classes, • Design clear, stable, Kotlin-first public APIs (versioned, well-documented, testable), • Implement best practices for networking, auth and IO; make failure modes deterministic and observable, • Own CI/CD for the Android SDK (GitHub Actions/GitLab CI) and dependency hygiene; prepare release artefacts and hand off to Solutions Engineering for release cadence and publishing, • Partner with the Solutions Engineer: reproduce field issues, write minimal repros, land fixes and verify via dashboards, • Co-design the next generation of the Android Captur SDK for release at the end of Q2, • SDK Engineer owns: code quality, API design, perf, stability, instrumentation, and technical notes for releases, • Solutions Engineer owns: release cadence, artefact publishing, changelogs, customer comms and debug sessions What Success Looks Like (First 3 Months) 30 Days: • Get fully set up, read the codebase and understand how the SDK integrates into customer apps (run the sample integrations end-to-end), • Take on small backlog items and minor bug fixes to gain experience with the SDK, • Own a set of feature requests/changes in the existing SDK from design to merge, • Improve crash reporting and metrics: add any missing telemetry/events needed for clearer root-cause and cleaner dashboards, • Provide meaningful input on core sections of the SDK revamp (review/author proposals, • Become the Android SDK SME day-to-day: work independently with the Solutions Engineer to reproduce issues and land fixes that improve customer experience Core Requirements • Deep Kotlin (3+ years) experience focused on systems-level/SDK work (not UI-heavy app development): threading/concurrency, memory, camera/graphics/IO and performance tooling (Android Studio profilers, Perfetto, Systrace), • Shipped code across hundreds of device models and over 1m monthly SDK sessions with proven strategies to handle device quirks, • Hands-on experience with monitoring tools (Crashlytics/Sentry/Datadog or similar) and adding the right events to enable root-cause analysis (crashes, ANRs, latency), • Experience delivering SDKs via GitHub Actions/GitLab CI with Gradle/Maven, semantic versioning and signed artefacts, maintaining clean migrations and changelogs, • Utilise test-driven development in practice – writing unit and instrumentation tests and standing up integration harnesses around threading/IO, • Networking/auth/API fundamentals tuned for mobile constraints, • Based in the UK (London preferred) and able to work from our London office at least 1 day per week on an ongoing basis Bonus Points • Built or maintained Android SDKs used by external developers (versioning, migrations, deprecations), • Familiarity with common Computer Vision pipelines and ML Ops basics for mobile development, • Practical experience integrating or optimising TFLite/LiteRT for real-time use, • Able to work from our London office 3 days per week during the first 3 months to speed up pairing and knowledge transfer

SENIOR DATA ENGINEER – AI PLATFORM • Opportunity for a Senior Data Engineer to join a high-growth AI-powered SaaS organisation in London, • Offering a salary up to £85,000 + strong benefits package including hybrid working and the opportunity to shape production-grade data infrastructure WHO ARE WE? Due to continued growth, we’re supporting an established AI-driven technology organisation that builds scalable data and machine learning platforms for enterprise clients. The business focuses on transforming complex first-party data into production-ready decision intelligence tools, embedding AI into daily commercial operations rather than delivering one-off projects. As demand grows, they’re expanding their engineering capability to strengthen and scale their data foundations. THE SENIOR DATA ENGINEER ROLE: This is a senior, hands-on engineering role focused on building and evolving the structured data pipelines that power AI-driven SaaS products. You’ll design and maintain high-performance ETL and ELT pipelines across operational and analytical layers, working heavily with SQL and Python-based orchestration. You’ll contribute to schema design, scalable data modelling, and metadata-driven frameworks that enable repeatable, production-ready outputs. The role also involves CI/CD automation, environment governance, and supporting the integration of machine learning outputs into live production systems. You’ll collaborate closely with Data Scientists and AI Engineers to ensure models are robust, monitored, and embedded into reliable pipelines. Alongside delivery, you’ll help shape engineering best practice, mentor others in SQL and pipeline design, and strengthen DataOps standards across the wider team. This position suits someone who enjoys building reusable, scalable infrastructure and wants their work to directly power real-world AI solutions. SENIOR DATA ENGINEER ESSENTIAL SKILLS: • 3+ years’ experience in a Data Engineering or platform-focused role, • Strong SQL expertise (T-SQL, PostgreSQL or similar), • Python for orchestration and data tooling, • Experience building ETL/ELT pipelines in cloud environments, • Strong understanding of dimensional modelling and data architecture principles, • Experience working with CI/CD pipelines and Git-based workflows, • Exposure to Azure, AWS or GCP, • Comfortable collaborating across Product, AI, and Delivery teams, • Strong problem-solving skills and attention to detail TO BE CONSIDERED: Please either apply through this advert or email me directly via . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, Python, SQL, ETL, ELT, Azure, AWS, GCP, CI/CD, Git, Data Modelling, Cloud Data Platforms, Machine Learning Integration

We’re hiring a Privileged Access & Identity Security Engineer to join a highly technical, security-first organisation operating in a fast-paced, regulated environment. Identity, privileged access, and secrets are treated here as core security engineering problems, not just compliance controls. This role sits within the Identity & Access Management (IAM) function, with a strong emphasis on Privileged Access Management (PAM), automation, and secure access to critical systems and platforms. Responsibilities: Privileged Access Management (PAM) • Own and operate enterprise PAM platforms (e.g. CyberArk or equivalent), • Design, implement, and maintain privileged access controls across Windows, Unix/Linux, and application environments, • Automate onboarding of privileged and service accounts, including credential rotation and reconciliation, • Enforce least privilege and just-in-time access principles, • Monitor privileged sessions and support investigations into access-related incidents Secrets & Non-Human Access • Manage credentials for applications, services, and automation workflows, • Support secure runtime credential retrieval and rotation, • Work with engineering teams to reduce hard-coded secrets and improve secrets hygiene, • Partner with infrastructure, application, and security teams to implement robust access models, • Support RBAC and access policy alignment across on-prem and cloud platforms, • Support access reviews, audit requests, and evidence production, • Contribute to incident response related to privileged access or credential exposure, • Strong hands-on experience with Privileged Access Management (PAM), • Deep knowledge of CyberArk (Vault, PSM/PSMP, CPM, Privilege Cloud) or equivalent, • Experience automating privileged access onboarding and credential lifecycle, • Solid understanding of least privilege, JIT access, and privileged account risk, • Background working in regulated or high-security environments, • Exposure to secrets management concepts or platforms, • Cloud experience (AWS and/or Azure), • Scripting or automation (PowerShell, REST APIs, etc.)

PingOne AIC Senior Developer Locations: Edinburgh / Bristol / London Work Mode: Hybrid – 3 Days per Week Onsite Contract: Inside IR35 We are currently seeking an experienced PingOne AIC Senior Developer to join a high-profile programme delivering secure, scalable Identity & Access Management (IAM) solutions across cloud, on-premises, and hybrid environments. This is an excellent opportunity to work on enterprise-grade identity systems, driving secure authentication, federation, and automation initiatives. Role Overview You will design, implement, and manage IAM solutions using PingOne Advanced Identity Cloud, ensuring robust integration across enterprise systems while maintaining security, scalability, and reliability. Key Responsibilities Platform Setup & Deployment • Install, configure, and deploy PingOne AIC (Cloud), • Develop custom authentication and authorisation workflows using Java, JavaScript, or Groovy, • Configure and integrate LDAP / Active Directory IAM Expertise • Strong hands-on experience with PingOne AIC, • Development experience in Java, JavaScript, and/or Groovy, • Experience with DevOps tools such as Azure, Ansible, Terraform, CI/CD, • Solid LDAP / Active Directory integration experience, • IAM environment management (health checks, logging, patching), • Experience working within Agile environments, • Strong communication skills across technical and business stakeholders Desirable • Familiarity with PingOne IG (Identity Governance), • Knowledge of compliance, regulatory standards, and zero-trust frameworks Experience Required • 9+ years overall IT experience, • 3–5+ years hands-on IAM experience (PingOne AIC / ForgeRock preferred), • Strong scripting/programming background, • Experience with Ansible / Terraform automation

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera and Corsera Health—we're building the future of population health management. As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Responsibilities • Design and implement Onsera's agentic AI platform – architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability, • Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms, • Bridge data science and platform engineering – translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible development environments, • Productionize data science code – convert research-grade notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows, • Build production-grade data pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run, • Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model lifecycle management, • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to build the ML/AI infrastructure for a breakthrough healthcare platform, • Partnership with a world-class team of industry leaders, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum Qualifications • 5+ years of experience in machine learning engineering, data engineering, or a related field, • Strong Python engineering skills with production-quality, typed, and tested code, • Track record productionizing ML models in batch and/or real-time environments, • Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar), • Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM, • Infrastructure-as-Code experience (Terraform or equivalent), • Experience with feature engineering, model lifecycle management, and ML evaluation, • Experience with LLMs, agent frameworks, or AI orchestration systems in production, • Familiarity with prompt management, tool calling, evaluation, and AI safety patterns, • Healthcare or regulated-industry experience, including familiarity with HIPAA or SOC-2 compliance, • Experience with claims data, EHR-derived datasets, or real-world evidence We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics connected to weight loss. Our unique position within the PHP ecosystem provides: • Venture track record: A proven track record of success in building biotech and healthcare companies, • Deep capital: Funding and resourcing to support deep tech and scientific R&D—and to drive growth, • Strategic guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), healthcare experts (including leaders in virtual care, former FDA commissioners), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent, • Expert network: Established connections across pharma, payers, and providers Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.

Job Title: Dynamics 365 CRM Solution Architect Overview: We are seeking a highly experienced Dynamics 365 CRM Solution Architect with 16+ years of enterprise CRM and cloud solution delivery experience, bringing deep technical and functional expertise across the Dynamics 365 ecosystem. The ideal candidate has led end-to-end implementations across Customer Insights, Customer Service, and Sales, with a proven ability to architect scalable, secure, and data-driven customer engagement solutions. You will own the solution architecture, guide design decisions, and oversee technical delivery across complex multi-cloud environments. Responsibilities include defining architecture for Customer Insights, designing data models and segmentation strategies, integrating Azure services, establishing governance frameworks, designing Sales and Service processes, and optimizing AI-driven customer analytics. You will also lead CRM integrations, ensuring robust API patterns, middleware orchestration, and end-to-end data flow consistency. Key Responsibilities: Lead solution architecture and technical design for Dynamics 365 CRM, including Customer Insights, Customer Service, and Sales Architect enterprise-grade integration patterns across Azure, Dataverse, REST APIs, ESB/middleware, and external systems Design and optimize Customer Insights ingestion pipelines, unification rules, segmentation models, and predictive analytics Define CRM data models, automation, and business process flows across Sales and Service Oversee delivery teams, perform code/design reviews, and enforce architectural and integration best practices Build enterprise automations using Power Automate, Azure Functions, and custom connectors Collaborate with stakeholders to translate business requirements into scalable technical solutions Drive AI/ML adoption using AI Builder, Azure Cognitive Services, and customer intelligence features Support governance, DevOps, CI/CD, environment strategy, and performance optimization Serve as the SME for CRM strategy, integration frameworks, roadmap planning, and platform evolution Required Experience & Skills: Nice to Have: Microsoft certification: PL-900 (Power Platform Fundamentals) or equivalent Experience with Microsoft Fabric and advanced Customer Insights real-time analytics

DevOps & Software Manager (Azure/PHP) – Remote - £100,000-£120,0000 + bonus 🚀 We’re exclusively partnered with a market-leading mortgage technology platform company, who last year released their flagship product which has resulted in them winning awards and becoming the most successful solution on the market. With major platform expansion, increased user adoption and migration, and new product innovation in AI underway, they’re entering a new phase of growth and this role plays a key pillar in their development teams. This is an environment where impact is immediate, you’ll work closely with the director of development while leading a team of 6 made up of 3 PHP developers & 3 DevOps Engineers to lead and take ownership of DevOps strategy and direction, lead cloud native infrastructure at scale and influence how modern fintech platforms evolve What you’ll be doing: • Leading and mentoring DevOps and Development teams (team size 6, growing), • Owning CI/CD pipelines, cloud infrastructure, and operational reliability, • Driving automation, scalability, performance, and cost optimisation, • Partnering closely with engineers to deliver cloud-native solutions Requirements: • Strong commercial PHP experience (essential), • Strong experience with Microsoft Azure and cloud-native architectures, • Proven experience with CI/CD pipelines and modern DevOps practices, • Expertise in Infrastructure as Code (Terraform / ARM), • Proficient with Git and version control workflows, • Experience with Docker and Kubernetes (AKS desirable), • Strong scripting skills (PowerShell / Bash), • Experience leading/managing a team This is a hugely exciting role and opportunity for someone who’s looking for a step up, opportunity to grow across the board and work for a business with a fantastic culture, team and product! The role is remote or with visits to the London/Ipswitch office once/twice a month (preference) but not required, the team is scattered remotely across the UK. You’ll receive a generous package including a salary up to £120,000 + 12% performance bonus (paid last 2 years) and a very strong benefits package that values you, your work life balance and family!. Please apply immediately as interviews are looking to be scheduled! (great business + team) DevOps & Software Manager (Azure/PHP) – Remote - £100,000-£120,0000 + bonus 🚀

Senior Azure Platform Engineer | Azure, Terraform & Kubernetes | Cloud & Platform Consulting • Salary: £75,000–£90,000 + bonus & equity, • Location: Hybrid working – c. 1 day per week in office, • Requirement: You must already hold active UK Security Clearance., • Permanent, full-time position We’re hiring an Azure Platform Engineer to join a fast-growing cloud and platform engineering consultancy delivering complex enterprise and public sector programmes. This is a hands-on consulting role where you’ll design, build, and improve modern Azure platforms while working closely with client engineering teams. The business is scaling across platform engineering, DevOps, governance, and cloud-native delivery, offering a strong growth environment with real influence over technical standards and delivery practices. The Role As an Azure Platform Engineer, you will play a key role in cloud and DevOps transformation initiatives. In this role, you will: • Design and build secure, scalable Azure platform foundations and landing zones, • Assess client environments and identify opportunities for cloud and DevOps improvement, • Define and implement Infrastructure as Code for repeatable platform delivery, • Build and enhance CI/CD pipelines to support cloud-native development, • Embed platform engineering and DevOps best practices into delivery teams, • Work across the full consulting lifecycle: discovery, design, build, and handover, • Engage directly with stakeholders through workshops, design sessions, and technical reviews Non-Negotiables • Azure cloud engineering experience in production environments, • Terraform infrastructure as code experience, • CI/CD pipelines and automation experience, • Strong understanding of cloud networking, security, and resilience patterns, • Experience working in client-facing or consulting-style environments, • Eligibility for UK Security Clearance (British citizen or ILR, UK resident for the last 5 years) What You’ll Work With • Microsoft Azure platform engineering, • Terraform infrastructure as code, • CI/CD pipelines and automation tooling, • Kubernetes and container orchestration (AKS preferred), • Cloud-native security, governance, and networking patterns Nice to Haves • Experience in a cloud, DevOps, or platform consultancy, • Kubernetes experience beyond the fundamentals, • Experience leading small projects or workstreams, • Enjoyment of mentoring engineers and sharing best practices, • Azure or Kubernetes certifications Why Join / Projects • High-impact enterprise and public sector cloud programmes, • Projects typically running 3–12 months, keeping work varied and challenging, • Opportunity to influence platform standards and delivery approaches, • High technical bar combined with a collaborative, people-first culture, • Strong focus on learning through real delivery, workshops, and shared problem-solving Employee Benefits • Performance-related bonus, • Equity or share scheme, • £1,000 annual learning & development budget, • Funded cloud certifications, • Flexible hybrid working with minimal office requirement, • Private healthcare and wellbeing support, • Enhanced parental leave, • Pension and additional lifestyle benefits Senior Azure Platform Engineer | Azure, Terraform & Kubernetes | Cloud & Platform Consulting

Senior Cloud & Information Security Engineer (Contract) 📍 London (EC1, hybrid) ⏳ Initial 3 months (rolling contract) - OUTSIDE IR35 🚀 Start ASAP You'll be joining as a Senior, hands-on Cloud & Information Security Engineer for an urgent contract engagement to take ownership of cloud security and technical information security in a regulated environment. This is a delivery-first role, not advisory. You’ll be responsible for designing, implementing and operating secure cloud infrastructure and security controls that will stand up to audit and regulatory scrutiny, with clear handover at the end of the engagement. What you’ll deliver: • Ownership of day-to-day technical information security controls, • Secure cloud infrastructure design and build (AWS preferred) using security-by-design, • IAM enforcement (least privilege, MFA, segregation of duties), • Centralised security logging, monitoring, alerting and vulnerability management, • Infrastructure-as-Code, configuration management and automation, • Secure networking, encryption, backup and resilience, • Technical leadership of pen testing, vulnerability scans and remediation, • Support CI/CD pipelines and secure change management, • Produce clear technical documentation and audit-ready evidence, • 5–8+ years hands-on cloud engineering & information security experience, • Strong AWS or Azure experience (one primary cloud, end-to-end ownership), • Deep IAM, networking and cloud security implementation experience, • Infrastructure-as-Code and automation mindset, • Practical application of ISO 27001 / NIST, • Experience operating in regulated or audit-driven environments, • Comfortable working independently and delivering at pace 📧 Interviews start next week. APPLY QUICKLY via the link provided or direct to Contract details: • Initial 3-month contract (extension likely), • ASAP start, • Competitive market rate, • Fast interview process MUST BEABLE TO WORK IN LONDON Applicants who are not based in London and don't highlight their ability to work in London for a minimum of 2 days per week will not be contacted.

Java/Kotlin Team Lead - London - 6 months - Circa £650pd - 3 days pw We are partnered with a tech client who are looking for a Lead Backend Engineer with strong experience in Java and/or Kotlin to take a key technical leadership role within a backend-focused engineering team Technical Leadership & Influence • Lead design discussions, technical deep dives, and knowledge-sharing initiatives, • Anticipate technical risks and proactively propose scalable, secure solutions, • Develop high-quality backend services using Java (17+) and frameworks such as Spring Boot or Micronaut, • Build resilient, high-throughput services supporting secure transaction processing, • Design and implement integrations with external systems including payment gateways, banks, and fraud platforms Core Skillset: • Proven experience as a Lead Java Engineer in backend-heavy, multi-level engineering teams, • Strong expertise in Java 17+, with Spring Boot or Micronaut; Kotlin experience is a bonus (or willingness to learn), • Hands-on experience with event-driven architectures, Kafka, microservices, and enterprise integration patterns, • Solid understanding of payment systems and PSP integrations, including fraud, tokenisation, and settlement flows, • Experience with cloud infrastructure (Azure preferred), Kubernetes, and CI/CD pipelines, • Working knowledge of relevant regulatory standards such as PCI DSS, SCA, and PSD2s, • Experience working in Agile/Scrum environments with a DevOps and test-driven mindset Nice to have • Experience with IAM platforms such as Okta, Auth0, Keycloak, or ForgeRock, • Knowledge of identity and security standards including OpenID Connect, OAuth2, JWT, SAML, and MFA, • Broader cloud exposure across Azure, AWS, or GCP If this is of interest, please send an updated CV and we can set up a call?

QA Automation Engineer As a QA Automation Engineer (Associate level), you will join an elite engineering squad tasked with evolving a sophisticated .NET automation ecosystem. This is a role for a "Quality Developer", someone who wants to build, break, and optimize systems that the global financial market relies on every single day. The Technical Stack • The Backbone: C# / .NET Core for robust automation development., • Behavioral Testing: BDD implementation using SpecFlow or Reqnroll., • Modern UI & API: Advanced automation utilizing Playwright and Selenium for both interface and deep-layer REST API validation., • Cloud-Native Infra: Working within Azure environments, specifically leveraging AKS (Kubernetes) and Service Bus architectures., • CI/CD & AI: Fully integrated pipelines via GitHub Actions (YAML), with an active culture of using AI tools (Copilot, LLMs, MCPs) to accelerate framework builds. Your Impact • Architecting Quality: Partner with senior leads to design and maintain scalable regression suites that support complex, event-driven financial products., • Deep-Dive Analysis: Move beyond surface-level checks; you will utilize SQL and exploratory techniques to identify root causes within high-velocity messaging streams (FIX, Swift, XML, JSON)., • Pipeline Mastery: Own the quality gate within the CI/CD lifecycle, ensuring automated triggers and data quality checks are seamless and fail-safe., • Agile Innovation: Contribute to a culture that prioritizes Clean Code and innovative testing methodologies, including performance and load testing with tools like NeoLoad. Who You Are • The FinTech Specialist: You have a commercial background in finance, payments, or high-stakes transactional systems., • Code-First Mindset: You are proficient in C# and understand object-oriented principles, design patterns, and how to write maintainable test code., • Naturally Curious: You aren't satisfied with a "pass" result—you want to understand the underlying infrastructure, from Azure microservices to relational database integrity. Package & Culture • Salary: £50,000 – £60,000 per annum., • Rewards: Competitive annual bonus + comprehensive company benefits., • Environment: A "no-micromanagement" zone. You’ll have the autonomy to innovate in a fast-moving, agile setting., • Flexibility: A balanced Hybrid model out of a prime Central London location.

Location: Hybrid - Croydon, UK (2–3 days on site), with some remote working Client: Public Sector Rate: £500-600 per day (Inside IR35 preferred, Outside IR35 considered) Duration: 6 months (lots of scope, will be extended based on delivery) Start: ASAP Security Clearance: Must hold current, active SC clearance About the Role: We are seeking an experienced Senior DevOps Engineer to join a high-performing delivery team supporting critical public services. You will be responsible for building and maintaining secure, scalable cloud infrastructure using modern DevOps practices across AWS and Kubernetes environments. This role requires an individual who is comfortable working in secure, high-assurance environments and collaborating with multidisciplinary agile teams. Key Responsibilities Design, build, and maintain scalable and secure AWS infrastructure Deploy and operate Kubernetes platforms (EKS or equivalent) Implement and manage CI/CD pipelines and automation frameworks Use Infrastructure as Code (Terraform, CloudFormation, or similar) Support containerised workloads (Docker, Helm) Monitor, troubleshoot and resolve production incidents Work closely with development, architecture and security teams Ensure platforms meet security and compliance standards Contribute to technical design and continuous improvement Essential Skills & Experience Active SC clearance (mandatory) Strong hands-on experience with AWS Strong experience with Kubernetes Proven experience delivering production DevOps platforms Infrastructure as Code (Terraform / CloudFormation / Ansible) CI/CD tooling (GitHub Actions, Jenkins, GitLab, etc.) Container technologies (Docker, Helm) Experience working in secure or regulated environments Excellent communication skills and ability to work in agile teams Desirable Experience Experience working with UK Government or public sector clients Monitoring and observability tools (Prometheus, Grafana, ELK) SRE or reliability engineering practices Security-focused DevOps implementations Why Join? Work on mission-critical systems within the Home Office Hybrid working with flexibility Opportunity to shape DevOps and cloud engineering standards Competitive day rate with potential extension

Principal AWS Platform Engineer Permanent Paying £120,000 / £140,000 Remote with occasional on site in London Will need to undergo SC Security Clearance Security Clearance is for UK Citizens only, unfortunately this means this role is only open to UK Citizens. Digital Skills are working alongside a specialist AWS partner, working on high profile Government systems and programmes. The client are a deep level AWS specialist and are hiring for a highly skilled and experienced Principal AWS Platform Engineer. About the Role This role suits a senior consultant with a background in engineering. You will be shaping cloud strategy, setting engineering and security standards and will remain hands on with complex AWS infrastructure. The role is not for an Architect, however you will be experienced and take a keen interest in designing AWS platforms that are highly secure. You will design and implement platforms that are automated, built to scale and deliver cloud services across key government services. Responsibilities You will take ownership of AWS platform design and continuous improvement, working across multi-account environments and enterprise-scale architectures. • Define AWS platform architecture usingmodern Landing Zone patterns, • Implement and maintain Infrastructure as Code using Terraform, CloudFormation, and AWS CDK, • Embed security into cloud platforms through native AWS services, • Enable automated delivery through well-designed CI/CD pipelines, • Design and support secure networking, IAM, KMS, and container-based workloads (EKS/ECS), • Providing technical leadership, mentoring engineers and promoting best practices Desired Experience To be successful in this position, you must have a very strong background in AWS platform engineering including: • Extensive experience building and operating AWS environments at scale, • Proven expertise with Control Tower and multi-account strategies, • Deep understanding of AWS security, • Strong Infrastructure as Code and automation experience, • Programming skills in Python, Java or similar languages, • Experience with Kubernetes/EKS This is a great role with a growing client. They offer a superb package of up to £140k plus potential bonus, generous holiday, remote working, excellent health care and career progression. If this sounds like you, please do apply.

AI Engineer London (Hybrid – 3 days a week in office) Up to £100,000 About the Company We’re supporting a global, market‑leading wellness and fitness organisation that is scaling its AI capabilities at pace across multiple international markets. With a mission centred on improving people’s lives through wellness, the company blends technology, data, and modern engineering practices to enhance member experience, drive commercial growth, and unlock operational efficiency. The organisation has recently invested heavily in a cutting‑edge AI function, with a mandate to design, build, and deploy end‑to‑end AI solutions that solve meaningful, real‑world business problems. This is an environment where AI engineers work hands‑on with cross‑functional teams and where shipped solutions make a tangible impact across digital products, marketing, operations, and member experience. The Role They’re now hiring an AI Engineer to join a growing AI team delivering production‑grade AI systems across the business. This role sits at the intersection of software engineering, machine learning, and applied data science — ideal for someone who enjoys building real products, not just prototypes. You’ll work end‑to‑end: from problem framing and data preparation, through modelling and experimentation, to deployment, monitoring, and iteration. You’ll collaborate with teams across Digital, Marketing, Operations, Finance, and Governance to translate business challenges into robust, ethical AI solutions. If you want to build AI systems that genuinely impact users, unlock commercial value, and scale across multiple markets, this offers a rare level of ownership and breadth. Key Responsibilities • Act as a hands‑on builder of AI‑powered products from idea to production., • Combine software engineering, data engineering, and ML/LLM skills to deliver scalable solutions., • Rapidly prototype, test, and iterate with real stakeholders and real data., • Work closely with business teams to identify opportunities and define success criteria., • Translate real operational problems into actionable AI solutions., • Build models using classical ML (e.g., tree‑based methods, forecasting, uplift) as well as LLMs and generative AI., • Develop predictive solutions such as churn, propensity, next‑best‑action, and lead scoring., • Build APIs, services, and integrations enabling AI models to power real products., • Embed AI into digital journeys, CRM systems, member apps, and internal tools., • Manage the full lifecycle of models: deployment, monitoring, alerting, retraining., • Build scalable pipelines and ensure reliability, performance, and efficiency. Requirements • Proven experience in applied data science, ML engineering, or software engineering with strong AI/ML responsibility., • Proven track record delivering AI/ML solutions into production., • Experience working closely with business teams such as Marketing, Product, or Operations., • Background in one or more of: personalisation, customer analytics, conversational AI, recommendation systems, optimisation, or marketing analytics., • Deep understanding of ML fundamentals across the full lifecycle., • Hands‑on experience with ML frameworks (scikit‑learn, XGBoost, PyTorch, TensorFlow, LightGBM)., • Strong exposure to LLMs, prompt engineering, RAG, and evaluation frameworks., • Familiarity with MLOps tooling: CI/CD, experiment tracking, model registries, monitoring, containers. Please note: This role cannot provide VISA sponsorship.

About Zeus Zeus is a leading logistics technology company focused on digitising, automating, and optimising supply chains through AI-powered solutions. Our integrated platforms Zeus Command, Zeus Command AI, and Zeus Connect streamline freight operations, enhance efficiency, reduce costs, and provide real-time visibility. Founded to modernise the transport and logistics sector, Zeus has grown into one of Europe’s fastest-growing logistics tech companies, working with major enterprises across multiple countries. Backed by advanced AI and sustainable transport solutions, Zeus is shaping the future of logistics. As we continue to scale, we’re looking for passionate individuals to join our team and help drive innovation in supply chain technology. If you're excited about AI, automation, and revolutionising logistics, Zeus offers an opportunity to work in a fast-paced, dynamic environment with leading industry expertise and state-of-the-art technology. About this job The mission Work with our AI and data team on Pack AI, our AI driven order consolidation and VRP module. Understand each prospect’s unique data and constraints, shape a custom solution, and clearly communicate results. You will own analytical workstreams end-to-end. What will you do • Client-centred analysis: Partner with potential customers to unpack business goals, data quirks, and constraints; translate them into a simulation plan and success criteria., • Data science hands-on: Clean, transform, and analyse large order/delivery datasets; build visualisations and executive-ready summaries (vehicle utilisation, mileage, cost, quantities, OTR)., • Parameter tuning: Design experiments, sweep parameters, evaluate trade-offs, and recommend configurations (e.g., slot windows, min-qty thresholds, SKU segregation)., • API usage & integration: Read docs, consume and stitch APIs (routing, ETAs, data exchange); produce robust scripts/services for repeatable runs., • Athena AI development support: Build data pipelines, evals, and monitoring for Athena agent workflows; collaborate with engineering team on LLM integration quality and observability., • Problem solving & delivery: Proactively flag blockers, propose options, and hit deadlines with self-organised, reliable execution. What great looks like (first 3–6 months) • You independently run a full simulation cycle (data prep → parameter experiments → recommendations → presentation)., • You deliver clear, written decision memos and visuals stakeholders can validate., • You improve plan quality on at least one prospect (e.g. higher trailer utilisation or reduced mileage) with a documented recipe., • You contribute meaningfully to Athena AI agent development (e.g., build an eval suite for tool execution quality, implement a new data pipeline for agent context) Must-have • Strong analytical & problem-solving skills: Able to decompose messy, real-world problems and craft tailored solutions., • Proficient in Python & data science: pandas/Polars, NumPy, scikit-learn, Jupyter, Plotly (or similar), • Confident with data cleaning, analysis, transformation, and visualisation., • Excellent communication: Advanced written and spoken English; concise, direct, and audience-appropriate (technical + executive)., • Self-organised, responsible, independent: Prior professional experience; capable of planning your own workload to deadlines., • API usage & integration: Comfortable reading API docs, handling auth, rate limits, and building reliable consumers/producers. Nice to have • Routing/optimisation exposure: NVIDIA cuOpt, VROOM, HERE (or similar); familiarity with multi-drop, time windows, packing rules., • Spatial data experience: Coordinates, geocoding, map/route visualisation, basic GIS concepts., • Cloud & delivery awareness: AWS (S3, ECS/Lambda, SNS/SQS), Docker, CI/CD (GitHub Actions), SQL/Postgres., • TypeScript fluency: Able to read TS and collaborate on data contracts with the Command team. Our environment • Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node (Command services). Interview process • 30-min intro (role, your goals), • Python data task (clean/transform + quick viz), • API & systems chat (design a small data pull + retries/observability), • Simulation case (parameter trade-offs; short write-up), • Stakeholder round (present findings; Q&A) What we offer • Private health insurance, • Pension plan, • Central working location, • Hybrid working, • Casual dress code, • Stocked kitchen and as much coffee & tea as you can drink, • Your own Mac or PC laptop and software subscriptions, • Discounted Gym memberships, a variety of virtual classes and seminars free of cost, discount coupons for all the major brands via Charlie HR perks, • Car rental scheme, • L&D via Udemy sponsored by Zeus, • Employee Assistance Program - Provides free of cost psychological, legal and medical counselling

Backend Software Engineer - Core Business Systems (CBS) STS Digital () is a leading regulated digital asset trading firm specialising in OTC trading and market making. While trading is headquartered in Bermuda, technology development is provided by a global engineering team. We are seeking a Backend Software Engineer to join the Core Business Systems (CBS) team. This role focuses on building and maintaining the systems that support the operational backbone of the business, including accounting, reporting, treasury automation, and trade lifecycle management. The engineer will work closely with the CBS Team Lead and other engineering teams to deliver reliable, auditable, and scalable backend services. Primary Responsibilities: • Design, implement, test, deploy, and maintain backend services supporting core business operations., • Develop and enhance systems covering: Accounting and trade reporting; Trade and options lifecycle management; Treasury automation and transfer management., • Admin and operational tooling (users, accounts, entity mapping), • Design and maintain relational database schemas, with a strong focus on correctness, performance, and auditability., • Build and maintain internal APIs used by OTC, Markets, Integrations, and operational teams., • Work closely with stakeholders to ensure systems meet operational, regulatory, and reporting requirements., • Investigate and resolve production issues, ensuring data integrity and minimal business impact., • Participate in code reviews, testing, and continuous improvement of system quality and performance., • Collaborate with the Principal Engineer and other teams to align on standards, architecture, and best practices. Expected Qualifications: Essential • 3+ years’ experience in backend software engineering., • Strong hands-on experience with C# (or another strongly typed language)., • Solid experience with relational databases, ideally PostgreSQL., • Experience designing data models and working with complex business domains., • Strong problem-solving skills and a structured approach to debugging and troubleshooting., • Comfortable working on business-critical, data-sensitive systems., • Good verbal and written communication skills., • Fluent in English, both written and spoken. Desirable • Experience in financial services, trading, accounting, or operational systems., • Exposure to trade lifecycle, treasury, or reconciliation workflows., • Experience with Python and/or React., • Familiarity with cloud-based systems (AWS)., • Experience building or consuming internal APIs., • Understanding of audit, reporting, or regulatory requirements in technology systems. Our Tech Stack • Backend: C#, Python, • Frontend: React, • Databases: PostgreSQL, DynamoDB, • Infrastructure: AWS (EKS, EC2), • Version Control & CI/CD: GitHub More Info The CBS team is responsible for systems that underpin the firm’s operational integrity and regulatory posture. This role is suited to an engineer who enjoys working with complex data, business rules, and operational workflows, and who values correctness, reliability, and long-term system quality.

Senior Java Engineer – Reactive (Spring WebFlux) London – Hybrid (1 day per week onsite) Are you a senior, hands-on Engineer who thrives in event-driven, asynchronous environments? Do you enjoy building low-latency, high-throughput distributed systems where correctness, resilience, and performance really matter? This is an opportunity to work at the core of real-time payments infrastructure, helping to power instant transactions for some of the world’s largest banks. We’re hiring on behalf of a leading payments consultancy delivering mission-critical, event-driven platforms that integrate deeply with bank infrastructure to enable secure, real-time payments at global scale. What You’ll Be Doing You’ll play a senior individual-contributor role within a high-performing engineering team, building asynchronous, message-driven systems designed for scale, resilience, and near-zero downtime. • Design and implement high-throughput, low-latency systems processing millions of real-time payment events, • Build event-driven architectures using modern Java and reactive frameworks, • Work extensively with non-blocking I/O, asynchronous flows, back-pressure, and concurrency, • Contribute to system and API design, focusing on scalability, fault tolerance, and observability, • Collaborate closely with architects, engineers, and client teams across Europe, • Operate in Agile environments (Scrum / Kanban) with a strong engineering culture Tech Stack (current & evolving): Java 17+, Spring WebFlux, Akka, Kafka, reactive streams, distributed messaging, cloud-native tooling What You Bring We’re looking for engineers who enjoy thinking in events, streams, and asynchronous workflows, and who take pride in building systems that perform under pressure. • Strong hands-on experience with Java 11+ (ideally Java 17) in production environments, • Deep understanding of asynchronous and reactive programming models, • Proven experience with event-driven architectures and real-time messaging (Kafka, JMS, Akka, etc.), • Solid grasp of distributed systems concepts: concurrency, idempotency, fault tolerance, and resilience, • Experience building and testing production-grade systems using TDD/BDD and CI/CD pipelines, • Comfortable working on complex, long-lived systems where performance and reliability are critical Bonus (not essential): Experience in banking, payments, or financial systems, or if you’ve built real-time platforms at scale. What’s In It for You • £100,000 – £115,000 base salary (DOE), • 20% annual bonus, • Work on event-driven, real-time systems with global impact, • Hybrid working – 1 day a week onsite (more if you prefer), • Exposure to major international banks and payment networks, • A product-led, engineering-first environment where technical decisions matter

Job Description — Senior QA Engineer Location: London — 4 days a week in office, 1 day remote Team: Platform About Us We build decision-making infrastructure for complex, real-world systems. Our platform combines edge-deployed sensors and intelligence with centralised algorithms, data pipelines, and graph-based analytics. We work primarily in global logistics, where we ingest data from sensors, emails, spreadsheets, and external databases to make predictions, detect problems, and support automated decisions across a distributed network of devices and agents. The system includes edge devices with onboard sensors and compute, a central cloud-based analytics layer, and a graph-based data store and algorithmic engine that supports both machine learning and rules-based logic. Job Description We are hiring a Senior QA Engineer to own quality across the entire platform — from data pipelines and ML models to backend services and user-facing applications. This is not a manual testing role. We're looking for someone who can build automated test infrastructure, design performance benchmarks, validate ML outputs, and ensure data quality at every stage of the system. You'll be the first dedicated QA hire in a team of 6 engineers. This means full ownership: you'll define our quality strategy, build the testing infrastructure from scratch, and be accountable for how we ship reliable software. The right person will be technically strong, comfortable writing code, and able to work independently across a complex system that spans edge devices, streaming pipelines, graph-based analytics, and web applications. Key Responsibilities • Design and implement automated testing strategies across the full stack, • Build and maintain test frameworks for backend services, APIs, and frontend applications, • Develop performance and load testing infrastructure to validate system behaviour at scale, • Create benchmarking frameworks for ML models, including accuracy, latency, and regression testing, • Implement data quality checks and validation across pipelines and databases, • Work with engineers to integrate testing into CI/CD pipelines and development workflows, • Define quality metrics and monitoring to catch issues before they reach production, • Investigate and diagnose bugs across the system, from data ingestion to user interface, • Champion testing best practices and help the team build quality into every stage of development Requirements We don't expect candidates to meet every requirement — if you're strong in some areas and willing to learn in others, we'd still like to hear from you. • Strong programming skills, ideally in Python (our primary language), • Production experience building and maintaining automated test suites, • Experience with test frameworks (pytest, Playwright, Selenium, or similar), • Hands-on experience with performance and load testing tools (Locust, k6, JMeter, or similar), • Understanding of data quality concepts and experience validating data pipelines, • Familiarity with CI/CD systems and integrating tests into automated workflows, • Ability to work across the stack — comfortable testing APIs, databases, and user interfaces, • Strong debugging and root cause analysis skills, • Experience working in a fast-moving environment with full ownership and accountability, • Comfortable making decisions independently and driving initiatives without close oversight Bonus • Experience testing or benchmarking ML models and systems, • Familiarity with streaming systems (Kafka) and event-driven architectures, • Experience with observability tools (logging, metrics, tracing), • Understanding of logistics, supply chain, or IoT systems, • Experience as the first or early QA hire, building quality processes from scratch

About Persistent: We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 21 sequential quarters of growth with $389.7M in Q1 FY26 revenue, up 3.9% Q-o-Q and 18.8% Y-o-Y growth. Our 25,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been named the fastest-growing Indian IT services brand in the “Brand Finance India 100” 2025 report. We were also cited as a Leader in the ISG Provider Lens™ 2025 for Digital Engineering Services 2025 and the Everest Group Talent Readiness for Next-generation Application Services PEAK Matrix® Assessment 2025 About Position and details: • Role: Full Stack Engineer, • Location: Glasgow, UK, • Hybrid: 2 days to office Looking for Expertise in advanced Java and open-source technologies. Skilled in Spring Boot, Hibernate, Microservices, Docker, Kubernetes, JPA, MySQL, SQL Server, Snowflake, REST API, Apache Kafka, Jenkins, CI/CD, Python, Machine Learning, Data Analytics. Leveraging GitHub Copilot to enhance productivity and reduce delivery timelines. Core Competencies • Languages: Java (7–17), Python, • Frameworks: Spring Boot 3.x, Hibernate, JPA, Microservices, Apache Kafka, Docker, Kubernetes, API gateways, JWT, Spring MVC, Spring Cloud etc., • Tools: Jenkins, Maven, Gradle, Git, SonarQube, check style, Spotless, GitLab, Bitbucket, etc., • Databases: MySQL, SQL Server, Oracle, MongoDB, Snowflake, Derby, • Reporting tools: Aqua scan, Checkmarks, SonarQube, Datadog, Soda, SSRS, etc., • Cloud: Azure, AWS (S3) basic, • Others: REST APIs, ElasticSearch, New Relic, CI/CD, ETL, Swagger, Postman, Rancher, Data Analytics, ML Models, GitHub Copilot, Jira and Confluence. Key Responsibilities • Full Stack Development: Build and maintain scalable web applications using Java (Spring Boot), Python (Fast API /Django), or Node.js for the backend., • AI/ML Integration: Work closely with Data Scientists to deploy and integrate ML models (including LLMs, Predictive Models, and NLP) into production environments via RESTful APIs., • Database Management: Design and optimize schemas for both SQL (Oracle, PostgreSQL) and NoSQL, (MongoDB), Snowflake databases., • Competitive salary and benefits package, • Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications., • Opportunity to work with cutting-edge technologies., • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards, • Annual health check-ups “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Head of Engineering, Platform & AI About Zeus Zeus is a leading logistics technology company focused on digitising, automating, and optimising supply chains through AI-powered solutions. Our integrated platforms Zeus Command, Zeus Command AI, and Zeus Connect streamline freight operations, enhance efficiency, reduce costs, and provide real-time visibility. Founded to modernise the transport and logistics sector, Zeus has grown into one of Europe’s fastest-growing logistics tech companies, working with major enterprises across multiple countries. Backed by advanced AI and sustainable transport solutions, Zeus is shaping the future of logistics. As we continue to scale, we’re looking for passionate individuals to join our team and help drive innovation in supply chain technology. If you're excited about AI, automation, and revolutionising logistics, Zeus offers an opportunity to work in a fast-paced, dynamic environment with leading industry expertise and state-of-the-art technology. The Opportunity Zeus Labs is building the execution intelligence layer for enterprise logistics — AI that turns ERP systems and tables into self-optimising operations. You will own development and maintenance of the platform that compresses hours of manual coordination into an automated AI-driven consolidation, touching millions of shipments annually for large manufacturers and distributors moving goods across continents. This is a rare role: production-grade AI systems (LLMs + combinatorial optimisation models) meeting enterprise integration reality (SAP ECC/S4, legacy TMS/WMS, webhook chaos). You will join a small, high-impact engineering team with plans to grow and evolve into specialised teams as we scale. What Will You Do Engineering Leadership & Delivery • Own end-to-end engineering delivery across Zeus Command AI (core platform) and AI layers and agents, • Drive planning, scoping, sequencing, sprint execution, and quality gates so work reliably ships, • Set standards for code review, testing, definition-of-done, incident hygiene, and operational excellence, • Contribute production code hands-on (20-30% of your time): ship features, close bugs, review/merge PRs, own complex cross-service work, • Coach engineers through pairing, PR feedback, debugging support, and raising team capability Enterprise Integration & Architecture • Lead integration strategy and execution with enterprise and legacy systems: ERP (SAP ECC/S/4HANA patterns), TMS, WMS, carrier/telematics platforms, customer master systems, • Own integration architecture across: Inbound/outbound APIs (REST/JSON), event-driven messaging (queues/topics), batch feeds, file-based interfaces (S3-based exchanges), structured email fallbacks, • Demonstrate practical experience with API management and integration middleware: API gateways, iPaaS/ESB patterns, message brokers, transformations, retries/backoff, idempotency, contract versioning, • Lead master data management for enterprise rollouts: SKU volumetrics, locations, customer/site data, carrier contracts, slot calendars. Data quality validation, reconciliation, governance (source of truth rules, drift detection). Own system architecture across services, data stores, and workflows, • Produce and maintain architecture artefacts as first-class outputs: System diagrams, sequence diagrams, data flow diagrams, ADRs/RFCs AI Systems & Production Operations • Own implementation quality for our AI agent flows: Tool execution safety, confirmation prompts for critical actions, bounded autonomy, deterministic fallbacks. Context/session handling (TTL memory), prompt/tool contracts, tool registry hygiene, • Build production practices around AI: Evals, monitoring, cost controls (token budgets, caching), model routing, prompt versioning, safe rollout, • Own production health: Logging, metrics, tracing, dashboards, alerting, post-mortems, • Improve resilience: Rate limiting, circuit breakers, idempotency, retries/backoff, event replay strategies, feature flags, safe deployments, • Work deeply with DevOps on AWS infrastructure, performance, and reliability: Containerised deployments, networking/security boundaries, secrets, scaling, environment management, • Own cost/performance trade-offs: Cloud cost monitoring, AI cost optimisation, workload tuning, capacity planning Security, Compliance & Customer-Facing Work • Build security into architecture and delivery: Tenant isolation, secure webhook patterns (auth/signatures/allowlisting), auditability, PII minimisation, • Lead remediation of dependency vulnerabilities and code scanning findings with measurable burn-down, • Join customer calls to: Explain architecture and integration in plain terms, Lead technical discovery and enterprise integration planning (incl. IT/security stakeholders), Handle escalations with structured RCA and clear action plans, • Produce enterprise-ready customer artefacts: Security overview, integration guides, interface specs, deployment runbooks Tech Stack & Environment Zeus is built on a consistent TypeScript-first stack: • Node.js + TypeScript for backend services, • Angular (primary) and React for web UI, • React Native for cross-platform mobile., • Our AI/optimisation modules are a deliberate “best tool for the job” exception, implemented in Python, • We run on AWS, using ECS with Fargate (multi-AZ) for containerised services, • AWS CodePipeline for CI/CD across multiple environments Must-Have Experience • 10+ years in backend/platform engineering, including at least 3 years in technical leadership (leading projects, owning architecture, or managing engineers), • Deep hands-on experience integrating with enterprise/legacy systems: ERP (SAP ECC/S4), TMS, WMS, carrier/telematics platforms, master data domains, • Strong integration background with API management and middleware: API gateways, iPaaS/ESB patterns, message brokers, transformation layers, contract versioning, • Master data management mindset: data modelling, reference data governance, reconciliation, quality enforcement, • Excellent technical documentation skills: diagrams and specs that engineering and customers can rely on, • Production operations experience: logs, metrics, incidents, post-mortems, cloud cost ownership, AI cost optimisation Nice-to-Have • SAP-style enterprise integration (IDocs, BAPIs, Integration Suite patterns), • Production LLM/agentic systems with guardrails and reliability practices What we offer • Private health insurance, • Pension plan, • Central working location, • Hybrid working, • Casual dress code, • Stocked kitchen and as much coffee & tea as you can drink, • Your own Mac or PC laptop and software subscriptions, • Discounted Gym memberships, a variety of virtual classes and seminars free of cost, discount coupons for all the major brands via Charlie HR perks, • Car rental scheme, • L&D via Udemy sponsored by Zeus, • Employee Assistance Program - Provides free of cost psychological, legal and medical counselling

Are you the kind of QA engineer who doesn’t wait for issues to surface , you hunt them down before they ever get close to production? Do you love automation, modern testing practices, and shaping quality across an engineering organisation, not just writing tests? This one is for you. You’ll join a fast-moving product team building data‑driven applications in a modern microservices environment. You’ll embed quality from discovery to release, influence technical decisions, and collaborate deeply with engineering, product, design, and SMEs. This role is ideal for someone who wants to raise the quality bar, coach others, and leave a visible imprint on how a company ships software. What You’ll Own Embed Quality Early • Shape testable user stories and acceptance criteria from day one., • Collaborate closely with engineering and product to prevent late surprises., • Own meaningful, business-critical E2E test coverage using Playwright., • Improve the signal quality of CI/CD pipelines so they become the source of truth., • Work with a highly data-intensive platform where accuracy is everything., • Define explicit, testable data criteria with engineers, product, client success, and SMEs., • Mentor engineers and less experienced QA team members., • Champion practices that reduce defects and increase release confidence., • Improve how the entire team thinks about and approaches quality. Requirements: • Deep experience in QA engineering and modern testing practices, • Strong automation background with Playwright, Cypress, or similar, • Hands-on experience in Continuous Delivery environments, • Familiarity with JavaScript/TypeScript + Python, • Understanding of microservices and API-heavy systems, • Ability to design meaningful test cases grounded in real user behaviour, • Collaborative mindset + strong communication, • Experience mentoring or levelling up QA capability across teams, • Fintech, private markets, or data intelligence experience, • Kubernetes know‑how Tech Environment • Playwright (E2E Automation), • Python Microservices, • React + Next.js, • Kubernetes This is your chance to join a team that genuinely values quality , not as a department, not as a gate, but as a shared responsibility across product, engineering, and leadership. If you're a Senior QA Engineer who thrives on ownership, collaboration, and modern testing then this is the opportunity for you.

Senior Java Developer | Java | Microservices | Vue.js | Up to £120k + Bonus This is the kind of role where strong Java engineers actually get to build things rather than just keep the lights on. The payments/fintech space in the UK has been exploding, and this team is right at the centre of it. They’ve been scaling fast, they’re backed heavily, and they’re actually changing how high‑volume payment systems work behind the scenes. What's going on? They’re a 150‑strong engineering function and they’re growing again. They need x2 Senior Java developers to help build and shape the core platform that processes over a million transactions a month. It’s complex engineering, working on the kind of problems that genuinely stretch your brain and keep things interesting. If you enjoy being around curious, switched‑on engineers who like solving real problems and shipping meaningful work, this will suit you. What you'll be working with: You’d be hands-on across: • Java & Spring, • Microservices, • Vue.js on the front end (if you like full‑stack), • CI/CD pipelines, • TDD / BDD environments, • MySQL + modern tooling If you're solid with Java and happy collaborating in a modern engineering setup, you’ll be fine. Why could it be a strong move? • The product is the heart of the business., • You’d have autonomy and space to contribute ideas, not just churn through tickets., • You’ll be working on a huge scale: 1M+ transactions monthly., • You’ll join a growing, mature engineering culture that actually invests in its people. What you get: • Up to £120k DOE, • 10% bonus, • Private medical cover, • 6% pension, • 4x life assurance, • Office based w/ option for Hybrid, • Gym membership, • 25 days holiday + benefits Two‑stage interview process = no getting messed around. Sound like something you'd be interested in? Let me know and I can run you through the team, roadmap, and interview process. Happy to have an informal chat first if you'd prefer. (UK residents only; no sponsorship available right now.)

Affinity Labs: Founding Product Engineer Location: London Area, United Kingdom · On-site Company Description At Affinity Labs, we’re building a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetisation by rapidly building, launching, and scaling digital ventures alongside with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Why Affinity Labs: Ship at rapid pace with AI-accelerated workflows, see your work distributed to tens of thousands of users at launch, and compound impact across multiple products, not just one. Role Description You’ll lead end-to-end product engineering across our portfolio: scoping features, designing APIs and data models, building backend services, and shipping polished user-facing experiences across web and mobile. This is an early-stage, hands-on role with significant autonomy and responsibility. You will own full-stack product delivery, from infrastructure and AI integrations through to React / React Native interfaces, collaborating closely with founders, creators, product, and design to turn lean specs into scalable, user-loved software. We’re looking for a strong generalist with backend depth and real mobile experience. Responsibilities • Implement features end-to-end (mobile + web frontend → APIs → data models → integrations) while maintaining quality and velocity., • Build React Native mobile apps and shared component systems across products., • Design and ship scalable backend services (APIs, integrations, AI workflows)., • Run tight build → test → iterate → ship loops; provide realistic estimates and surface blockers early., • Manage tech debt pragmatically, • Participate in daily standups and weekly planning; contribute to technical strategy and execute from Linear tickets., • Contribute meaningfully to product and architecture discussions; be heard in debate and align to unified decisions., • Own operability: CI/CD, monitoring/alerting, performance optimisation, safe rollbacks., • Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails)., • Help evolve our reusable product templates and shared architecture across the portfolio. Essential Requirements • 3-6+ years building production-grade full-stack applications, with clear ownership., • Strong backend experience in Python (FastAPI preferred) and solid database skills (PostgreSQL/MongoDB)., • Proven experience building and shipping mobile apps with React Native., • Strong React fundamentals (Next.js experience a plus)., • Solid API design and systems thinking., • Familiarity with AWS serverless patterns and Docker; basic CI/CD concepts., • Comfortable with Redis (caching/sessions) and queue/messaging patterns., • Startup mindset: high ownership, comfort with ambiguity, bias toward shipping., • Growth mindset & flexibility: open to feedback; not rigid about stack/tools., • Clear communicator & collaborator; able to guide product decisions from engineering perspective., • Evidence of shipping quickly in small teams (links to apps, repos, case studies, live products). Desired • Node.js alongside Python for services or integrations., • App Store / Google Play release experience., • Experience with vector databases (e.g., Chroma) and embedding pipelines., • LangChain or CrewAI for orchestration; MCP servers for integrations., • Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics., • Planning & execution in Linear (or similar). Tools & Stack • Backend/Runtime: Python (FastAPI), Node.js., • Frontend: React/Next.js, • Mobile: React Native, • Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions)., • Vectors/Embeddings: Chroma (or similar)., • AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio)., • AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot / Claude Code., • Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Competencies & Behaviours • Communicates clearly with technical and non-technical teammates., • Takes ownership from concept to deploy and through maintenance., • Thinks in systems + design for reuse across a portfolio., • Balances technical excellence with pragmatic delivery to meet business needs., • Adapts quickly to changing requirements and emerging tech; applies AI learnings., • Sets clear goals, tracks progress, and hits commitments; collaborates across disciplines. Why this role is a career launchpad • Own the code & the company. You step in as a Founding Engineer with a meaningful equity stake from day one., • Ship faster with AI at your side. Our workflow bakes in AI so you spend your time solving real problems—not boilerplate., • Ride a rocket. Our wider vision is big and the bar is high; we need driven people who can help us achieve an ambitious roadmap., • Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3–4 years in a typical startup. There’s a lot of work, it’s high intensity, and the expectation is to ship extremely quickly., • Learn from builders, not bosses. Work shoulder-to-shoulder with a team that has scaled VC-backed startups, closed multi-million-pound term sheets, and collaborated with 1,000+ creators across formats and categories.