Trabajos machine learning en Reino Unido

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.

Front of House Leader Full time Pret here! We're proud makers of delicious food, organic coffee and big ideas across 750+ shops in 20+ countries. Whether you're making our customers' days with the perfect latte or leading your team to success, roles in Pret shops come with huge opportunities for growth. Together, we're doing the right thing and growing fast - it's an exciting team to hop on board! Growing Good Things Pret is where passionate, hardworking, wonderful people (like you!) find the confidence and skills they need to grow and choose their unique paths. And the proof is in the pudding - 80%+ of our Managers and 20% of our Support Centre teams (including our CEO, Pano) started on the shop floor. What we're looking for Leaders, inspirers, and drivers of their teams, our Front of House Leaders are our in-shop champions, coaching and mentoring their teams. These wonderful people are the protectors of the things that make Pret, Pret - keeping standards and spirits high, and our teams and customers happy. When the shop gets busy, so do they; it's what makes them, them - whether it's rolling their sleeves up on the coffee machine (with training, of course) or immersed in the figures and spreadsheets. A people person without a doubt, with a passion for helping their shop, and the people in it grow. About you • Be kind, honest and generous: bring genuine warmth and your authentic self to work every day., • Bring your passion: share our passion for exceptional customer service., • Spread joy every day: small acts of kindness (like giving away a free coffee on the house) are a big part of what makes the Pret experience special., • Hourly rate is £14.56 (inclusive of mystery shopper bonus), • After initial training, earn an extra £5 per hour for any shift started between 3-5am, • 28 days annual leave (pro-rata if you're part-time), • Pension scheme, • Life Assurance at 3x annual salary & virtual GP, • Healthcare cash plan, • Free food and drink while you're working, • And when you're not, you'll have our Club Pret Membership (giving you 50% off food and to 5 free Barista-made drinks a day), • Loyalty award after 5, 10, 15, 20 years' service, • Regular rewards and recognition for amazing standards, • Access marketplace discounts on shopping, travel, fitness, dining, tech and more, • Flexible working hours, means you have the time to do what's important to you, • Individual ways to grow - We offer lots of opportunities for learning, whether you join us for a short stint or the long game, you're good to grow with us. Including fully funded professional qualifications -apprenticeships Level 3 and internal transfer opportunities to explore., • Diversity and belonging - Everyone is welcome at Pret, we want you to feel confident and valued for who you are and to truly belong., • Pace and variety - Our work is fast paced with lots of variety, you'll build a diverse skill set and learn a lot!, • Happy Teams Happy Customers, • Amazing Standards Every day, • Never Standing Still, • Every interview process at Pret begins with the same two stages. Initial phone screening and 60-minute shop-based interview with the General Manager and the team

Front of House Leader Full Time 35 hours across the week Pret here! We're proud makers of delicious food, organic coffee and big ideas across 750+ shops in 20+ countries. Whether you're making our customers' days with the perfect latte or leading your team to success, roles in Pret shops come with huge opportunities for growth. Together, we're doing the right thing and growing fast - it's an exciting team to hop on board! Growing Good Things Pret is where passionate, hardworking, wonderful people (like you!) find the confidence and skills they need to grow and choose their unique paths. And the proof is in the pudding - 80%+ of our Managers and 20% of our Support Centre teams (including our CEO, Pano) started on the shop floor. What we're looking for Leaders, inspirers, and drivers of their teams, our Front of House Leaders are our in-shop champions, coaching and mentoring their teams. These wonderful people are the protectors of the things that make Pret, Pret - keeping standards and spirits high, and our teams and customers happy. When the shop gets busy, so do they; it's what makes them, them - whether it's rolling their sleeves up on the coffee machine (with training, of course) or immersed in the figures and spreadsheets. A people person without a doubt, with a passion for helping their shop, and the people in it grow. About you • Be kind, honest and generous: bring genuine warmth and your authentic self to work every day., • Bring your passion: share our passion for exceptional customer service., • Spread joy every day: small acts of kindness (like giving away a free coffee on the house) are a big part of what makes the Pret experience special., • Hourly rate is £14.81 (inclusive of mystery shopper bonus), • After initial training, earn an extra £5 per hour for any shift started between 3-5am, • 28 days annual leave (pro-rata if you're part-time), • Pension scheme, • Life Assurance at 3x annual salary & virtual GP, • Healthcare cash plan, • Free food and drink while you're working, • And when you're not, you'll have our Club Pret Membership (giving you 50% off food and to 5 free Barista-made drinks a day), • Loyalty award after 5, 10, 15, 20 years' service, • Regular rewards and recognition for amazing standards, • Access marketplace discounts on shopping, travel, fitness, dining, tech and more, • Flexible working hours, means you have the time to do what's important to you, • Individual ways to grow - We offer lots of opportunities for learning, whether you join us for a short stint or the long game, you're good to grow with us. Including fully funded professional qualifications -apprenticeships Level 3 and internal transfer opportunities to explore., • Diversity and belonging - Everyone is welcome at Pret, we want you to feel confident and valued for who you are and to truly belong., • Pace and variety - Our work is fast paced with lots of variety, you'll build a diverse skill set and learn a lot!, • Happy Teams Happy Customers, • Amazing Standards Every day, • Never Standing Still, • Every interview process at Pret begins with the same two stages. Initial phone screening and 60-minute shop-based interview with the General Manager and the team

Front of House Leader (Full time- 35 hours per week) Pret here! We're proud makers of delicious food, organic coffee and big ideas across 750+ shops in 20+ countries. Whether you're making our customers' days with the perfect latte or leading your team to success, roles in Pret shops come with huge opportunities for growth. Together, we're doing the right thing and growing fast - it's an exciting team to hop on board! Growing Good Things Pret is where passionate, hardworking, wonderful people (like you!) find the confidence and skills they need to grow and choose their unique paths. And the proof is in the pudding - 80%+ of our Managers and 20% of our Support Centre teams (including our CEO, Pano) started on the shop floor. What we're looking for Leaders, inspirers, and drivers of their teams, our Front of House Leaders are our in-shop champions, coaching and mentoring their teams. These wonderful people are the protectors of the things that make Pret, Pret - keeping standards and spirits high, and our teams and customers happy. When the shop gets busy, so do they; it's what makes them, them - whether it's rolling their sleeves up on the coffee machine (with training, of course) or immersed in the figures and spreadsheets. A people person without a doubt, with a passion for helping their shop, and the people in it grow. About you • Be kind, honest and generous: bring genuine warmth and your authentic self to work every day., • Bring your passion: share our passion for exceptional customer service., • Spread joy every day: small acts of kindness (like giving away a free coffee on the house) are a big part of what makes the Pret experience special., • Hourly rate is £14.81 (inclusive of mystery shopper bonus), • After initial training, earn an extra £5 per hour for any shift started between 3-5am, • 28 days annual leave (pro-rata if you're part-time), • Pension scheme, • Life Assurance at 3x annual salary & virtual GP, • Healthcare cash plan, • Free food and drink while you're working, • And when you're not, you'll have our Club Pret Membership (giving you 50% off food and to 5 free Barista-made drinks a day), • Loyalty award after 5, 10, 15, 20 years' service, • Regular rewards and recognition for amazing standards, • Access marketplace discounts on shopping, travel, fitness, dining, tech and more, • Flexible working hours, means you have the time to do what's important to you, • Individual ways to grow - We offer lots of opportunities for learning, whether you join us for a short stint or the long game, you're good to grow with us. Including fully funded professional qualifications -apprenticeships Level 3 and internal transfer opportunities to explore., • Diversity and belonging - Everyone is welcome at Pret, we want you to feel confident and valued for who you are and to truly belong., • Pace and variety - Our work is fast paced with lots of variety, you'll build a diverse skill set and learn a lot!, • Happy Teams Happy Customers, • Amazing Standards Every day, • Never Standing Still, • Every interview process at Pret begins with the same two stages. Initial phone screening and 60-minute shop-based interview with the General Manager and the team

Assistant Manager Pret here! We're proud makers of delicious food, organic coffee and big ideas across 750+ shops in 20+ countries. Whether you're making our customers' days with the perfect latte or leading your team to success, roles in Pret shops come with huge opportunities for growth. Together, we're doing the right thing and growing fast - it's an exciting team to hop on board! Growing Good Things Pret is where passionate, hardworking, wonderful people (like you!) find the confidence and skills they need to grow and choose their unique paths. And the proof is in the pudding - 80%+ of our Managers and 20% of our Support Centre teams (including our CEO, Pano) started on the shop floor. What we're looking for • As an Assistant Manager at Pret a Manger, you'll support the General Manager in overseeing daily store operations to ensure everything runs smoothly. You'll help lead and motivate the team to deliver outstanding customer service and consistently high-quality food, while fostering a positive and inclusive work environment built on teamwork and camaraderie. By leading from the front, you'll ensure exceptional customer experiences and resolve any issues promptly. You'll assist in training and developing team members, helping them grow professionally within Pret. Working closely with both front-of-house and back-of-house teams, you'll contribute to efficient service, uphold health and safety standards, and support stock control through stock ordering, stock takes, and waste reduction., • Be kind, honest and generous: bring genuine warmth and your authentic self to work every day., • Bring your passion: share our passion for exceptional customer service., • Spread joy every day: small acts of kindness (like giving away a free coffee on the house) are a big part of what makes the Pret experience special., • £33,645 - £37,955, • 15% quarterly bonus, • You'll get 33 days of annual leave (including flexible Bank Holidays), increasing to 38 days the longer you're with us., • Free private medical cover, with the option to add family or partner at an additional cost, • 4% of your pension contribution matched by Pret,rises to 5% after 5 years, • Life assurance at 3x annual salary, • Loyalty award for 5, 10, 15, 20 years' service, • Flexible Benefits Platform packed with lifestyle discounts, • Season ticket loans, • Healthcare cash plan, • Financial wellbeing provisions, • Free mortgage services, • Sabbatical after 3 years, • Opportunities to support our charity, The Pret Foundation, • Individual ways to grow - We offer lots of opportunities for learning, whether you join us for a short stint or the long game, you're good to grow with us. Including fully funded professional qualifications -apprenticeships Level 3 and internal transfer opportunities to explore., • Diversity and belonging - Everyone is welcome at Pret, we want you to feel confident and valued for who you are and to truly belong., • Pace and variety - Our work is fast paced with lots of variety, you'll build a diverse skill set and learn a lot!, • Happy Teams Happy Customers, • Amazing Standards Every day, • Never Standing Still, • Every interview process at Pret begins with the same two stages. First stage virtual interview on Teams (60min); Second stage shop experience in person (60min)

Front of House Leader Full Time 35 Hours across Monday-Friday Pret here! We're proud makers of delicious food, organic coffee and big ideas across 750+ shops in 20+ countries. Whether you're making our customers' days with the perfect latte or leading your team to success, roles in Pret shops come with huge opportunities for growth. Together, we're doing the right thing and growing fast - it's an exciting team to hop on board! Growing Good Things Pret is where passionate, hardworking, wonderful people (like you!) find the confidence and skills they need to grow and choose their unique paths. And the proof is in the pudding - 80%+ of our Managers and 20% of our Support Centre teams (including our CEO, Pano) started on the shop floor. What we're looking for Leaders, inspirers, and drivers of their teams, our Front of House Leaders are our in-shop champions, coaching and mentoring their teams. These wonderful people are the protectors of the things that make Pret, Pret - keeping standards and spirits high, and our teams and customers happy. When the shop gets busy, so do they; it's what makes them, them - whether it's rolling their sleeves up on the coffee machine (with training, of course) or immersed in the figures and spreadsheets. A people person without a doubt, with a passion for helping their shop, and the people in it grow. About you • Be kind, honest and generous: bring genuine warmth and your authentic self to work every day., • Bring your passion: share our passion for exceptional customer service., • Spread joy every day: small acts of kindness (like giving away a free coffee on the house) are a big part of what makes the Pret experience special., • Hourly rate is £14.81 (inclusive of mystery shopper bonus), • After initial training, earn an extra £5 per hour for any shift started between 3-5am, • 28 days annual leave (pro-rata if you're part-time), • Pension scheme, • Life Assurance at 3x annual salary & virtual GP, • Healthcare cash plan, • Free food and drink while you're working, • And when you're not, you'll have our Club Pret Membership (giving you 50% off food and to 5 free Barista-made drinks a day), • Loyalty award after 5, 10, 15, 20 years' service, • Regular rewards and recognition for amazing standards, • Access marketplace discounts on shopping, travel, fitness, dining, tech and more, • Flexible working hours, means you have the time to do what's important to you, • Individual ways to grow - We offer lots of opportunities for learning, whether you join us for a short stint or the long game, you're good to grow with us. Including fully funded professional qualifications -apprenticeships Level 3 and internal transfer opportunities to explore., • Diversity and belonging - Everyone is welcome at Pret, we want you to feel confident and valued for who you are and to truly belong., • Pace and variety - Our work is fast paced with lots of variety, you'll build a diverse skill set and learn a lot!, • Happy Teams Happy Customers, • Amazing Standards Every day, • Never Standing Still, • Every interview process at Pret begins with the same two stages. Initial phone screening and 60-minute shop-based interview with the General Manager and the team

Front of House Leader (Full time -35 hours per week) Pret here! We're proud makers of delicious food, organic coffee and big ideas across 750+ shops in 20+ countries. Whether you're making our customers' days with the perfect latte or leading your team to success, roles in Pret shops come with huge opportunities for growth. Together, we're doing the right thing and growing fast - it's an exciting team to hop on board! Growing Good Things Pret is where passionate, hardworking, wonderful people (like you!) find the confidence and skills they need to grow and choose their unique paths. And the proof is in the pudding - 80%+ of our Managers and 20% of our Support Centre teams (including our CEO, Pano) started on the shop floor. What we're looking for Leaders, inspirers, and drivers of their teams, our Front of House Leaders are our in-shop champions, coaching and mentoring their teams. These wonderful people are the protectors of the things that make Pret, Pret - keeping standards and spirits high, and our teams and customers happy. When the shop gets busy, so do they; it's what makes them, them - whether it's rolling their sleeves up on the coffee machine (with training, of course) or immersed in the figures and spreadsheets. A people person without a doubt, with a passion for helping their shop, and the people in it grow. About you • Be kind, honest and generous: bring genuine warmth and your authentic self to work every day., • Bring your passion: share our passion for exceptional customer service., • Spread joy every day: small acts of kindness (like giving away a free coffee on the house) are a big part of what makes the Pret experience special., • Hourly rate is £14.81 (inclusive of mystery shopper bonus), • After initial training, earn an extra £5 per hour for any shift started between 3-5am, • 28 days annual leave (pro-rata if you're part-time), • Pension scheme, • Life Assurance at 3x annual salary & virtual GP, • Healthcare cash plan, • Free food and drink while you're working, • And when you're not, you'll have our Club Pret Membership (giving you 50% off food and to 5 free Barista-made drinks a day), • Loyalty award after 5, 10, 15, 20 years' service, • Regular rewards and recognition for amazing standards, • Access marketplace discounts on shopping, travel, fitness, dining, tech and more, • Flexible working hours, means you have the time to do what's important to you, • Individual ways to grow - We offer lots of opportunities for learning, whether you join us for a short stint or the long game, you're good to grow with us. Including fully funded professional qualifications -apprenticeships Level 3 and internal transfer opportunities to explore., • Diversity and belonging - Everyone is welcome at Pret, we want you to feel confident and valued for who you are and to truly belong., • Pace and variety - Our work is fast paced with lots of variety, you'll build a diverse skill set and learn a lot!, • Happy Teams Happy Customers, • Amazing Standards Every day, • Never Standing Still, • Every interview process at Pret begins with the same two stages. Initial phone screening and 60-minute shop-based interview with the General Manager and the team

Front of House Leader (Part time - 24 hours per week) Pret here! We're proud makers of delicious food, organic coffee and big ideas across 750+ shops in 20+ countries. Whether you're making our customers' days with the perfect latte or leading your team to success, roles in Pret shops come with huge opportunities for growth. Together, we're doing the right thing and growing fast - it's an exciting team to hop on board! Growing Good Things Pret is where passionate, hardworking, wonderful people (like you!) find the confidence and skills they need to grow and choose their unique paths. And the proof is in the pudding - 80%+ of our Managers and 20% of our Support Centre teams (including our CEO, Pano) started on the shop floor. What we're looking for Leaders, inspirers, and drivers of their teams, our Front of House Leaders are our in-shop champions, coaching and mentoring their teams. These wonderful people are the protectors of the things that make Pret, Pret - keeping standards and spirits high, and our teams and customers happy. When the shop gets busy, so do they; it's what makes them, them - whether it's rolling their sleeves up on the coffee machine (with training, of course) or immersed in the figures and spreadsheets. A people person without a doubt, with a passion for helping their shop, and the people in it grow. About you • Be kind, honest and generous: bring genuine warmth and your authentic self to work every day., • Bring your passion: share our passion for exceptional customer service., • Spread joy every day: small acts of kindness (like giving away a free coffee on the house) are a big part of what makes the Pret experience special., • Hourly rate is £14.81 (inclusive of mystery shopper bonus), • After initial training, earn an extra £5 per hour for any shift started between 3-5am, • 28 days annual leave (pro-rata if you're part-time), • Pension scheme, • Life Assurance at 3x annual salary & virtual GP, • Healthcare cash plan, • Free food and drink while you're working, • And when you're not, you'll have our Club Pret Membership (giving you 50% off food and to 5 free Barista-made drinks a day), • Loyalty award after 5, 10, 15, 20 years' service, • Regular rewards and recognition for amazing standards, • Access marketplace discounts on shopping, travel, fitness, dining, tech and more, • Flexible working hours, means you have the time to do what's important to you, • Individual ways to grow - We offer lots of opportunities for learning, whether you join us for a short stint or the long game, you're good to grow with us. Including fully funded professional qualifications -apprenticeships Level 3 and internal transfer opportunities to explore., • Diversity and belonging - Everyone is welcome at Pret, we want you to feel confident and valued for who you are and to truly belong., • Pace and variety - Our work is fast paced with lots of variety, you'll build a diverse skill set and learn a lot!, • Happy Teams Happy Customers, • Amazing Standards Every day, • Never Standing Still, • Every interview process at Pret begins with the same two stages. Initial phone screening and 60-minute shop-based interview with the General Manager and the team

Front of House Leader Full Time 35 hours across the week Pret here! We're proud makers of delicious food, organic coffee and big ideas across 750+ shops in 20+ countries. Whether you're making our customers' days with the perfect latte or leading your team to success, roles in Pret shops come with huge opportunities for growth. Together, we're doing the right thing and growing fast - it's an exciting team to hop on board! Growing Good Things Pret is where passionate, hardworking, wonderful people (like you!) find the confidence and skills they need to grow and choose their unique paths. And the proof is in the pudding - 80%+ of our Managers and 20% of our Support Centre teams (including our CEO, Pano) started on the shop floor. What we're looking for Leaders, inspirers, and drivers of their teams, our Front of House Leaders are our in-shop champions, coaching and mentoring their teams. These wonderful people are the protectors of the things that make Pret, Pret - keeping standards and spirits high, and our teams and customers happy. When the shop gets busy, so do they; it's what makes them, them - whether it's rolling their sleeves up on the coffee machine (with training, of course) or immersed in the figures and spreadsheets. A people person without a doubt, with a passion for helping their shop, and the people in it grow. About you • Be kind, honest and generous: bring genuine warmth and your authentic self to work every day., • Bring your passion: share our passion for exceptional customer service., • Spread joy every day: small acts of kindness (like giving away a free coffee on the house) are a big part of what makes the Pret experience special., • Hourly rate is £14.81 (inclusive of mystery shopper bonus), • After initial training, earn an extra £5 per hour for any shift started between 3-5am, • 28 days annual leave (pro-rata if you're part-time), • Pension scheme, • Life Assurance at 3x annual salary & virtual GP, • Healthcare cash plan, • Free food and drink while you're working, • And when you're not, you'll have our Club Pret Membership (giving you 50% off food and to 5 free Barista-made drinks a day), • Loyalty award after 5, 10, 15, 20 years' service, • Regular rewards and recognition for amazing standards, • Access marketplace discounts on shopping, travel, fitness, dining, tech and more, • Flexible working hours, means you have the time to do what's important to you, • Individual ways to grow - We offer lots of opportunities for learning, whether you join us for a short stint or the long game, you're good to grow with us. Including fully funded professional qualifications -apprenticeships Level 3 and internal transfer opportunities to explore., • Diversity and belonging - Everyone is welcome at Pret, we want you to feel confident and valued for who you are and to truly belong., • Pace and variety - Our work is fast paced with lots of variety, you'll build a diverse skill set and learn a lot!, • Happy Teams Happy Customers, • Amazing Standards Every day, • Never Standing Still, • Every interview process at Pret begins with the same two stages. Initial phone screening and 60-minute shop-based interview with the General Manager and the team

Front of House Leader (Part time - 20 hours per week) Pret here! We're proud makers of delicious food, organic coffee and big ideas across 750+ shops in 20+ countries. Whether you're making our customers' days with the perfect latte or leading your team to success, roles in Pret shops come with huge opportunities for growth. Together, we're doing the right thing and growing fast - it's an exciting team to hop on board! Growing Good Things Pret is where passionate, hardworking, wonderful people (like you!) find the confidence and skills they need to grow and choose their unique paths. And the proof is in the pudding - 80%+ of our Managers and 20% of our Support Centre teams (including our CEO, Pano) started on the shop floor. What we're looking for Leaders, inspirers, and drivers of their teams, our Front of House Leaders are our in-shop champions, coaching and mentoring their teams. These wonderful people are the protectors of the things that make Pret, Pret - keeping standards and spirits high, and our teams and customers happy. When the shop gets busy, so do they; it's what makes them, them - whether it's rolling their sleeves up on the coffee machine (with training, of course) or immersed in the figures and spreadsheets. A people person without a doubt, with a passion for helping their shop, and the people in it grow. About you • Be kind, honest and generous: bring genuine warmth and your authentic self to work every day., • Bring your passion: share our passion for exceptional customer service., • Spread joy every day: small acts of kindness (like giving away a free coffee on the house) are a big part of what makes the Pret experience special., • Hourly rate is £14.81 (inclusive of mystery shopper bonus), • After initial training, earn an extra £5 per hour for any shift started between 3-5am, • 28 days annual leave (pro-rata if you're part-time), • Pension scheme, • Life Assurance at 3x annual salary & virtual GP, • Healthcare cash plan, • Free food and drink while you're working, • And when you're not, you'll have our Club Pret Membership (giving you 50% off food and to 5 free Barista-made drinks a day), • Loyalty award after 5, 10, 15, 20 years' service, • Regular rewards and recognition for amazing standards, • Access marketplace discounts on shopping, travel, fitness, dining, tech and more, • Flexible working hours, means you have the time to do what's important to you, • Individual ways to grow - We offer lots of opportunities for learning, whether you join us for a short stint or the long game, you're good to grow with us. Including fully funded professional qualifications -apprenticeships Level 3 and internal transfer opportunities to explore., • Diversity and belonging - Everyone is welcome at Pret, we want you to feel confident and valued for who you are and to truly belong., • Pace and variety - Our work is fast paced with lots of variety, you'll build a diverse skill set and learn a lot!, • Happy Teams Happy Customers, • Amazing Standards Every day, • Never Standing Still, • Every interview process at Pret begins with the same two stages. Initial phone screening and 60-minute shop-based interview with the General Manager and the team

Front of House Leader Full Time Pret here! We're proud makers of delicious food, organic coffee and big ideas across 750+ shops in 20+ countries. Whether you're making our customers' days with the perfect latte or leading your team to success, roles in Pret shops come with huge opportunities for growth. Together, we're doing the right thing and growing fast - it's an exciting team to hop on board! Growing Good Things Pret is where passionate, hardworking, wonderful people (like you!) find the confidence and skills they need to grow and choose their unique paths. And the proof is in the pudding - 80%+ of our Managers and 20% of our Support Centre teams (including our CEO, Pano) started on the shop floor. What we're looking for Leaders, inspirers, and drivers of their teams, our Front of House Leaders are our in-shop champions, coaching and mentoring their teams. These wonderful people are the protectors of the things that make Pret, Pret - keeping standards and spirits high, and our teams and customers happy. When the shop gets busy, so do they; it's what makes them, them - whether it's rolling their sleeves up on the coffee machine (with training, of course) or immersed in the figures and spreadsheets. A people person without a doubt, with a passion for helping their shop, and the people in it grow. About you • Be kind, honest and generous: bring genuine warmth and your authentic self to work every day., • Bring your passion: share our passion for exceptional customer service., • Spread joy every day: small acts of kindness (like giving away a free coffee on the house) are a big part of what makes the Pret experience special., • Hourly rate is £14.81 (inclusive of mystery shopper bonus), • After initial training, earn an extra £5 per hour for any shift started between 3-5am, • 28 days annual leave (pro-rata if you're part-time), • Pension scheme, • Life Assurance at 3x annual salary & virtual GP, • Healthcare cash plan, • Free food and drink while you're working, • And when you're not, you'll have our Club Pret Membership (giving you 50% off food and to 5 free Barista-made drinks a day), • Loyalty award after 5, 10, 15, 20 years' service, • Regular rewards and recognition for amazing standards, • Access marketplace discounts on shopping, travel, fitness, dining, tech and more, • Flexible working hours, means you have the time to do what's important to you, • Individual ways to grow - We offer lots of opportunities for learning, whether you join us for a short stint or the long game, you're good to grow with us. Including fully funded professional qualifications -apprenticeships Level 3 and internal transfer opportunities to explore., • Diversity and belonging - Everyone is welcome at Pret, we want you to feel confident and valued for who you are and to truly belong., • Pace and variety - Our work is fast paced with lots of variety, you'll build a diverse skill set and learn a lot!, • Happy Teams Happy Customers, • Amazing Standards Every day, • Never Standing Still, • Every interview process at Pret begins with the same two stages. Initial phone screening and 60-minute shop-based interview with the General Manager and the team

Assistant Manager Pret here! We're proud makers of delicious food, organic coffee and big ideas across 750+ shops in 20+ countries. Whether you're making our customers' days with the perfect latte or leading your team to success, roles in Pret shops come with huge opportunities for growth. Together, we're doing the right thing and growing fast - it's an exciting team to hop on board! Growing Good Things Pret is where passionate, hardworking, wonderful people (like you!) find the confidence and skills they need to grow and choose their unique paths. And the proof is in the pudding - 80%+ of our Managers and 20% of our Support Centre teams (including our CEO, Pano) started on the shop floor. What we're looking for • As an Assistant Manager at Pret a Manger, you'll support the General Manager in overseeing daily store operations to ensure everything runs smoothly. You'll help lead and motivate the team to deliver outstanding customer service and consistently high-quality food, while fostering a positive and inclusive work environment built on teamwork and camaraderie. By leading from the front, you'll ensure exceptional customer experiences and resolve any issues promptly. You'll assist in training and developing team members, helping them grow professionally within Pret. Working closely with both front-of-house and back-of-house teams, you'll contribute to efficient service, uphold health and safety standards, and support stock control through stock ordering, stock takes, and waste reduction., • Be kind, honest and generous: bring genuine warmth and your authentic self to work every day., • Bring your passion: share our passion for exceptional customer service., • Spread joy every day: small acts of kindness (like giving away a free coffee on the house) are a big part of what makes the Pret experience special., • £33,645 - £34,645, • 15% quarterly bonus, • You'll get 33 days of annual leave (including flexible Bank Holidays), increasing to 38 days the longer you're with us., • Free private medical cover, with the option to add family or partner at an additional cost, • 4% of your pension contribution matched by Pret,rises to 5% after 5 years, • Life assurance at 3x annual salary, • Loyalty award for 5, 10, 15, 20 years' service, • Flexible Benefits Platform packed with lifestyle discounts, • Season ticket loans, • Healthcare cash plan, • Financial wellbeing provisions, • Free mortgage services, • Sabbatical after 3 years, • Opportunities to support our charity, The Pret Foundation, • Individual ways to grow - We offer lots of opportunities for learning, whether you join us for a short stint or the long game, you're good to grow with us. Including fully funded professional qualifications -apprenticeships Level 3 and internal transfer opportunities to explore., • Diversity and belonging - Everyone is welcome at Pret, we want you to feel confident and valued for who you are and to truly belong., • Pace and variety - Our work is fast paced with lots of variety, you'll build a diverse skill set and learn a lot!, • Happy Teams Happy Customers, • Amazing Standards Every day, • Never Standing Still, • Every interview process at Pret begins with the same two stages. First stage virtual interview on Teams (60min); Second stage shop experience in person (60min)

Front of House Leader Part Time 20 hours Pret here! We're proud makers of delicious food, organic coffee and big ideas across 750+ shops in 20+ countries. Whether you're making our customers' days with the perfect latte or leading your team to success, roles in Pret shops come with huge opportunities for growth. Together, we're doing the right thing and growing fast - it's an exciting team to hop on board! Growing Good Things Pret is where passionate, hardworking, wonderful people (like you!) find the confidence and skills they need to grow and choose their unique paths. And the proof is in the pudding - 80%+ of our Managers and 20% of our Support Centre teams (including our CEO, Pano) started on the shop floor. What we're looking for Leaders, inspirers, and drivers of their teams, our Front of House Leaders are our in-shop champions, coaching and mentoring their teams. These wonderful people are the protectors of the things that make Pret, Pret - keeping standards and spirits high, and our teams and customers happy. When the shop gets busy, so do they; it's what makes them, them - whether it's rolling their sleeves up on the coffee machine (with training, of course) or immersed in the figures and spreadsheets. A people person without a doubt, with a passion for helping their shop, and the people in it grow. About you • Be kind, honest and generous: bring genuine warmth and your authentic self to work every day., • Bring your passion: share our passion for exceptional customer service., • Spread joy every day: small acts of kindness (like giving away a free coffee on the house) are a big part of what makes the Pret experience special., • Hourly rate is £14.81 (inclusive of mystery shopper bonus), • After initial training, earn an extra £5 per hour for any shift started between 3-5am, • 28 days annual leave (pro-rata if you're part-time), • Pension scheme, • Life Assurance at 3x annual salary & virtual GP, • Healthcare cash plan, • Free food and drink while you're working, • And when you're not, you'll have our Club Pret Membership (giving you 50% off food and to 5 free Barista-made drinks a day), • Loyalty award after 5, 10, 15, 20 years' service, • Regular rewards and recognition for amazing standards, • Access marketplace discounts on shopping, travel, fitness, dining, tech and more, • Flexible working hours, means you have the time to do what's important to you, • Individual ways to grow - We offer lots of opportunities for learning, whether you join us for a short stint or the long game, you're good to grow with us. Including fully funded professional qualifications -apprenticeships Level 3 and internal transfer opportunities to explore., • Diversity and belonging - Everyone is welcome at Pret, we want you to feel confident and valued for who you are and to truly belong., • Pace and variety - Our work is fast paced with lots of variety, you'll build a diverse skill set and learn a lot!, • Happy Teams Happy Customers, • Amazing Standards Every day, • Never Standing Still, • Every interview process at Pret begins with the same two stages. Initial phone screening and 60-minute shop-based interview with the General Manager and the team

Trainee AI Engineer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

base地设定在上海，全职和实习皆可，欢迎全球各地优秀的华人加入。 【关于衍复】 上海衍复投资管理有限公司成立于2019年，是一家用量化方法从事投资管理的科技公司。 公司策略团队成员的背景丰富多元：有曾在海外头部对冲基金深耕多年的行家里手、有在美国大学任教后加入业界的学术型专家以及国内外顶级学府毕业后在衍复成长起来的中坚力量；工程团队核心成员均来自清北交复等顶级院校，大部分有一线互联网公司的工作经历，团队具有丰富的技术经验和良好的技术氛围。 公司致力于通过10-20年的时间，把衍复打造为投资人广泛认可的头部资管品牌。 衍复鼓励充分交流合作，我们相信自由开放的文化是优秀的人才发挥创造力的土壤。我们希望每位员工都可以在友善的合作氛围中充分实现自己的职业发展潜力。 【工作职责】 1、负责机器学习/深度学习模型的研发，优化和落地，以帮助提升交易信号的表现； 2、研究前沿算法及优化技术，推动技术迭代与业务创新。 【任职资格】 1、本科及以上学历，计算机相关专业，国内外知名高校； 2、扎实的算法和数理基础，熟悉常用机器学习/深度学习算法(XGBoost/LSTM/Transformer等)； 3、熟练使用Python/C++，掌握PyTorch/TensorFlow等框架； 4、具备优秀的业务理解能力和独立解决问题能力，良好的团队合作意识和沟通能力。 【加分项】 1、熟悉CUDA，了解主流的并行编程以及性能优化技术； 2、有模型实际工程优化经验（如训练或推理加速）； 3、熟悉DeepSpeed, Megatron等并行训练框架； 4、熟悉Triton, cutlass，能根据业务需要写出高效算子； 5、熟悉多模态学习、大规模预训练、模态对齐等相关技术。

Node.js Developer Location: London - 4 days a week in the office Job Type: Full-Time Currently working with an AI-powered technology company that provides innovative infrastructure solutions for professionals. Our platform empowers businesses and professionals to optimise workflows, streamline operations, and leverage cutting-edge artificial intelligence to solve complex challenges. The team are now looking for a Node.js Developer to join our growing team and contribute to the development of our advanced infrastructure products. Key Responsibilities: • Design, develop, and maintain scalable, high-performance web applications and APIs using Node.js., • Work closely with cross-functional teams, including data scientists, engineers, and product managers, to integrate AI-driven capabilities and infrastructure tools into our platform., • Build robust backend services to support our platform’s architecture, ensuring security, scalability, and optimal performance., • Develop and integrate systems that can handle large datasets and support real-time data processing., • Optimise codebase and algorithms to enhance the efficiency and reliability of infrastructure services., • Troubleshoot and debug complex technical issues to maintain system stability., • Write clean, modular, and maintainable code following best practices. Requirements: • 3+ years of experience in developing applications using Node.js and backend technologies., • Strong proficiency in JavaScript/TypeScript and backend frameworks like Express.js., • Familiarity with designing and working with RESTful APIs and microservices architecture., • Experience with database technologies like MongoDB, PostgreSQL, and MySQL., • Experience working with cloud platforms (e.g., AWS, Azure, or GCP)., • Familiarity with Docker, Kubernetes, or other containerisation tools., • Experience using version control systems like Git., • Ability to design and implement high-performance, scalable backend solutions., • Solid understanding of web security best practices. Preferred Skills: • Familiarity with AI or machine learning concepts, particularly in integrating AI into professional workspaces., • Experience working with real-time systems, messaging queues, and event-driven architectures., • Knowledge of cloud-native applications, serverless architectures, and infrastructure automation., • Exposure to data pipelines, data analytics, or large-scale data processing.

🔥 Who We Are At ___, we relentlessly drive innovation in AI, building the world's leading ___. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join ___ and help shape the future of ___. 🌎 Location and Legalities This full-time LLM Engineer position is based onsite in our brand-new ___ in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of ___ with our state-of-the-art ___ technologies. Key responsibilities include: • Developing and scaling robust LLM-powered applications using a variety of APIs, including ___, ___, and ___., • Implementing and managing multi-API workflows using tools like ___ to ensure flexibility and resilience., • Building sophisticated ___ systems, leveraging advanced techniques like embeddings with ___, rerankers, and query enrichment., • Designing and maintaining efficient data pipelines and vector storage solutions using ___ Atlas Vector Search., • Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related to our ___ and user support., • Collaborating with our ___ development team to explore and build innovative ___. 🛠️ Skills and Experience • 5+ years of experience in software engineering, with a strong focus on AI and ___., • Expert-level proficiency in ___ and deep learning frameworks, particularly ___., • Proven experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek., • Hands-on experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like ___., • Practical knowledge of ___, prompt engineering, and performance optimization., • Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions., • A strong interest in ___ and an understanding of object detection models like ___ is a significant plus., • Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our ___. Our ___ thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits • Competitive Salary: Highly competitive based on experience., • Startup Equity: Participate directly in our company's growth and success., • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote., • Generous Time Off: 24 days vacation, your birthday off, plus local holidays., • Flexible Hours: Tailor your working hours to suit your productivity., • Tech: Engage with cutting-edge ___ and contribute to leading ___ software., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate ___. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, ___ offers an exceptional career opportunity.

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 We’re hiring a hands-on Head of Product — the solo product lead today, with a Product Designer reporting to you. You’ll own the roadmap, ship high-impact SDK features, design pilots, build repeatable product processes and recruit our first PM. You’ll work closely with Sales/CS/Engineering and be the product voice for customers. This is a rare chance to scale a product function from the ground up and directly influence ARR. This role reports directly to the CEO (based in New York) — expect fast decisions, visible impact and a close partnership with the founder. The ideal candidate will have a strong background in product management, excellent leadership skills and a proven track record of bringing successful AI products to market. Key Responsibilities Product Strategy & vision (30%) • Define and communicate the product vision and strategy working alongside the CEO, • Own the full product lifecycle: you’ll be our sole product lead day-to-day and accountable for product outcomes., • Ship reliably: write concise, testable specs and acceptance criteria, enforce ticket hygiene, unblock Engineering, publish release notes and run short post-release reviews (PRRs) to validate outcomes., • Hire, onboard and mentor the first Product Manager (target end of Q2); create the PM JD, interview plan and a 30/60/90 onboarding., • Design experiments that measure monetisable outcomes (conversion, pilot → paid, ARR influence). Own hypothesis, experiment design and go/no-go decisions., • Design convertible pilots with Sales/CS: define success criteria and deliver the evidence pack (dashboard, playbook & acceptance tests). Product owns the evidence pack; Sales/CS own negotiation and contracting., • Act as product sponsor on strategic pilots to remove technical blockers and shorten time-to-value. What Success Looks Like (First 6 Months) 30 Days: Stabilise and prioritise • Rapidly map the product surface, backlog, active pilots and outstanding technical debt; meet customers and Sales to surface urgent blockers., • Deliver a 30/60/90 plan to the CEO that includes one priority revenue experiment and a pragmatic triage of the top 5 product issues to fix immediately., • Ship 1–2 high-impact fixes or small features that demonstrate clear business value or shorten pilot time-to-value., • Put in place the minimum viable product rhythms (weekly planning, weekly sync, short PRR checklist) and enforce them for the team., • Own a pilot/feature with a validated outcome (go/no-go) and a recommended roadmap change., • Codify at least three lightweight process artifacts the team uses (e.g. scoping template, release checklist, decision log)., • Product rhythms are running consistently and the team adheres to the decision log., • Multiple validated experiments and an evidence-pack library for pilots., • Demonstrable product contribution to pilot → paid or clear ARR influence. Core Requirements • Typically 7+ years’ product management experience shipping enterprise AI/SaaS features, ideally at fast-moving startups (Series A–C); we prioritise scope and outcomes over exact years., • Proven solo product leadership — you’ve been the primary product lead on a product area and have hired or mentored PMs., • Hands-on SDK / developer-facing experience — shipped SDKs/APIs (iOS, Android, React Native), sample apps, docs and integration guides., • Experience shipping ML/AI features to production; you understand model outputs, evaluation and basic monitoring., • You write short, testable specs, enforce ticket hygiene and own acceptance criteria., • Commercial orientation — you’ve supported pilots with measurable commercial outcomes (conversion, ACV, trial → paid)., • Excellent communicator; comfortable reporting to a product-focused CEO and working asynchronously across time zones., • Based in the UK (London preferred) and able to work from our London office at least 1 day per week.

Data Scientist – Optimisation & Applied Analytics Contract duration: 6months (12months of work road mapped) Day rate: 800 Inside IR35 Location/Hybrid: 2-3 days per week to Heathrow Airport A major global airline, undergoing a multi‑million‑pound data and optimisation transformation, is looking for a Data Scientist to join their high‑performing Decision Support & Optimisation function. This role is end‑to‑end, hands‑on, and deeply embedded in the business. You’ll work at the start of new product builds, shaping and delivering AI‑powered optimisation tools that keep people and aircraft moving efficiently in one of the most operationally complex industries in the world. What You’ll Do • Build and deploy applied statistics, machine learning and optimisation models that support mission‑critical operational decisions., • Work closely with data engineers, understanding their workflows and collaborating to take models from ideation all the way into production environments., • Craft and define optimisation problems from scratch: decision spaces, constraints, objective functions., • Use strong data visualisation and communication skills to influence stakeholders at all levels., • Partner with operational teams to embed tools directly into workflows and measure real‑world impact., • Own delivery end‑to‑end with far better working hours than typical consulting—while still delivering meaningful change. What We’re Looking For Technical Expertise • Degree or Master’s in Maths, Statistics, Data Science, Operational Research, or similar fields., • Strong applied statistics background., • Experience working with messy or complex datasets, • Hands‑on exposure to integer programming, MIP, MILP, and applied optimisation., • Experience with optimisation tools such as CPLEX, MATLAB, OR‑Tools, or similar., • Some exposure to machine learning methods., • Ability to build and industrialise Python‑based data products., • Exceptional communication and storytelling abilities—able to interrogate both data and stakeholders., • Ability to articulate trade‑offs, design decisions and model assumptions clearly to non‑technical audiences. Ready to shape high‑impact optimisation products from day one and see your work take off—literally? Please Apply with an up-to-date CV.

Senior Machine Learning Scientist – AI Computational Biology (Remote, UK) Location: Remote (UK-based, London time zone) Type: Full-time Focus: Genomics, single-cell biology, production ML systems ( RNA-Seq AND WGS) The Opportunity We’re building production-grade computational methods that turn complex biological data into robust, interpretable biomarkers used daily to advance cancer research and drug development. This is not a purely exploratory research role. You’ll take true end-to-end ownership of methods that sit between raw omics data and biological interpretation — designing them, stress-testing them, and running them reliably in production. If you enjoy combining deep machine learning, real biological signal, and strong engineering practices, this role is built for you. What You’ll Do Own production biomarker methods • Design and implement genomics and transcriptomics pipelines (RNA-seq, single-cell, WGS/WES)., • Turn complex molecular data into scalable, reproducible biomarkers with clear assumptions and limitations., • Develop and fine-tune deep learning models for biological representation learning (e.g. single-cell, multimodal data)., • Prototype AI-driven approaches (including LLMs and agentic workflows) for hypothesis generation and interpretation., • Track new approaches from literature and open source., • Implement, benchmark, and critically assess robustness and generalisability., • Drive adoption decisions based on evidence, not novelty. What We’re Looking For Background • MSc / PhD (or equivalent industry experience) in Machine Learning, Computer Science, Computational Biology, Bioinformatics, or related field., • Strong Python skills with experience building complex ML or data-processing pipelines., • Hands-on experience with omics data (single-cell RNA-seq, bulk RNA-seq, WGS/WES, or multimodal genomics)., • Deep learning experience (e.g. transformers, VAEs, contrastive learning, GNNs)., • Familiarity with production-quality practices:, • Version control (Git), • Reproducibility & testing, • Enjoys owning methods long-term, not just publishing or prototyping., • Comfortable working across biology, ML, and engineering., • Able to clearly explain trade-offs to both technical and non-technical stakeholders.

Machine Learning Engineer / Junior Machine Learning Engineer Level: Junior ML Engineer (£56,000) | ML Engineer (£65,000) Location: London About the Role Our client is a global defence, security, and intelligence consultancy delivering high-assurance digital, cyber, and AI solutions into some of the UK’s most critical national security missions. They are growing their National Security AI capability in London and are hiring Machine Learning Engineers at both junior and mid-level. These roles sit within a specialist team delivering applied machine learning and GenAI solutions across defence, space, and wider government environments. The work spans exploratory research, rapid prototyping, and full production deployment. You will be solving complex, real-world problems using modern ML and LLM techniques, working on sensitive, high-impact systems where quality, governance, and operational readiness genuinely matter. What You’ll Be Doing • Designing and developing machine learning models across forecasting, classification, and anomaly detection use cases., • Building and deploying GenAI and LLM-enabled solutions, including prompt-driven and RAG-based architectures., • Running structured experimentation cycles, defining hypotheses, designing experiments, and evaluating results within governance constraints., • Transitioning validated experiments into production-ready systems in collaboration with software and platform engineers., • Building and maintaining ML pipelines on AWS using modern MLOps and LLMOps tooling., • Implementing experiment tracking, model versioning, and reproducibility with full auditability., • Supporting production models through monitoring, evaluation, and continuous improvement., • Applying responsible AI practices including explainability, validation, and fairness assessment., • Communicating outcomes and trade-offs clearly to technical and non-technical stakeholders. Ideal Background You will have experience in many of the following areas. Expectations scale by level. • Hands-on experience building ML models in Python using libraries such as scikit-learn, XGBoost, PyTorch, or TensorFlow., • Experience deploying ML workloads on AWS, including services such as SageMaker, Lambda, and S3., • Understanding of experiment design, evaluation techniques, and statistical reasoning., • Experience taking models from experimentation into production environments., • Familiarity with MLOps tooling such as MLflow, Weights & Biases, or Data Version Control., • Experience developing or integrating LLM and GenAI applications, including prompt engineering and retrieval-augmented generation., • Ability to work across disciplines and communicate technical findings clearly., • A pragmatic mindset and good judgement about when machine learning is and is not the right solution. Nice to Have • Experience with advanced LLM techniques such as agents, tool use, or agentic workflows., • Experience with vector databases for RAG use cases., • Familiarity with feature stores, containerisation, or orchestration platforms., • Exposure to infrastructure-as-code tooling such as Terraform or CloudFormation., • Experience with large-scale data processing frameworks., • Background working in regulated or high-assurance environments. Clearance Reality Security clearance is required for this role. Candidates who are not currently cleared must be eligible and willing to go through the process. What You’ll Receive • Salary up to £65,000 for ML Engineer and up to £56,000 for Junior ML Engineer., • Hybrid working with flexibility around core hours., • 25 days annual leave with options to buy, sell, or carry over., • Competitive pension and flexible benefits package., • Company bonus scheme., • Dedicated career management and structured progression pathways., • Access to internal communities focused on diversity, inclusion, and wellbeing. Who This Role Suits Best This role suits engineers who want to work on meaningful, production-grade ML systems rather than proofs of concept. It is a strong fit for candidates who enjoy balancing experimentation with operational discipline and want their work to have tangible national impact.

Hiring: Data Scientist – Contract (Inside IR35) Location: Waterside, UK Role Type: Contract Role Title: Data Scientist Role Overview We are looking for a Data Scientist to join a full-stack product squad delivering operations decision-support software. This role focuses on building industrialised optimisation and machine learning models, working end-to-end from problem definition to production deployment. You will collaborate closely with product, engineering, and business stakeholders to deliver high-impact, data-driven solutions. Key Responsibilities • Develop data pipelines, machine learning, and optimisation models in Python, • Build and industrialise ML/optimisation algorithms using best-practice software engineering principles, • Implement automated data cleaning pipelines and workflow orchestration (e.g. Dagster), • Integrate ML/optimisation models into full product stacks (data ingestion, UI, orchestration), • Deploy solutions using CI/CD in a cloud environment, • Build robust logging, testing (unit/regression), and error-handling frameworks, • Analyse adoption, performance, and business value of deployed models, • Engage with business stakeholders to gather requirements and feedback, • Contribute to Agile squad ways of working, code reviews, and technical documentation Required Skills & Experience • Strong knowledge of machine learning and/or optimisation techniques, • (Regression, Tree methods, Clustering, Linear / Mixed-Integer Programming, Heuristics), • Strong Python experience (scikit-learn, pandas, numpy, optimisation libraries), • Experience building production-ready ML or optimisation solutions, • Solid understanding of CI/CD, Git version control, and cloud platforms (AWS preferred), • Strong data engineering skills in Python and SQL, • Experience with automated testing (unit, integration, end-to-end), • Ability to communicate complex technical concepts to non-technical stakeholders Nice to Have • Experience with MLflow, DVC, SageMaker, • Workflow orchestration tools (Dagster / Airflow), • Containerisation (Docker, ECS), • Domain experience in transportation, airlines, operations, or network optimisation Qualifications • Master’s degree in Data Science, ML, Operational Research OR, • 2+ years of highly relevant industry experience, • 0–2 years experience working on production ML/optimisation products at scale

💼 Position: Senior Data Scientist 💵 Salary: £70,000 - £80,000 base + 12% flexible benefits 🌍 Location: London, UK (Hybrid – 3 days in office, 2 remote) An FTSE-listed global FinTech company is looking to hire a Senior Data Scientist in their Trading & Operations function, with deep experience leading high‑impact data science projects end‑to‑end, from problem framing and exploratory analysis through modelling, experimentation and working with MLE. You’ll collaborate with data engineering, platforms, web, messaging, analytics, marketing, risk and product. This is a key senior hire, driven by strong and growing demand for data science across the business. What you'll be doing: • Lead end-to-end data science projects: problem framing, EDA, modelling, experimentation, and working with MLEs to deploy into production, • Apply statistics, A/B testing and causal inference to inform product, growth, commercial and risk decisions, • Work with diverse structured and unstructured data across client behaviour, operations and financial domains, • Build advanced models and data products, including customer and growth models, recommendation systems, gradient boosting & ensemble methods, NLP / text analytics, time-series forecasting, & generative AI use cases, • Monitor model performance and design experiments tied to clear hypotheses, • Translate ambiguous business questions into measurable, actionable solutions, • Coach and mentor junior data scientists, raising the bar on technical quality, delivery and communication What we’re looking for: • 5+ years’ experience applying data science and ML to real-world business problems, • Strong grounding in statistics, experimentation and analytical reasoning, • Proven experience building predictive models and taking them to production, • Ability to communicate complex analysis clearly to non-technical stakeholders, • Comfortable working with imperfect, large-scale data in a fast-moving environment, • Strong Python and SQL skills, • Cloud experience (ideally GCP, but transferable skills welcomed) Nice to have: • Experience in financial services (not essential — support and training provided), • Exposure to marketing analytics or MMM projects, • Master’s level education in Data Science, Machine Learning or a related field What’s in it for you: • Competitive base salary + 12% flexible benefits, • Private medical cover (including family), • Life insurance, • Gym contribution, • 25 days holiday + birthday off + 2 volunteering days (28 total), • Buy/sell holiday options, • Unlimited access to an online learning platform Don't miss out on this incredible career opportunity! Apply now to become part of a dynamic team, or send an up-to-date resume to the details below. +1 212 970 7603

Company Description Permutable AI is a cutting-edge technology company specializing in delivering real-time AI-driven solutions for the financial sector. By combining advanced language models with deep financial expertise, our platform empowers traders, hedge funds, and investment professionals with rapid market insights and decision-making tools. Our solutions, like the Trading Co-Pilot, are designed to save clients significant time while enhancing analysis and investment strategies. Trusted by leading financial institutions, we focus on creating transformative, plug-and-play tools that provide tangible value with minimal implementation effort. Based in London, we are committed to revolutionizing the financial industry through strategic innovation and global partnerships. Role Description This is a full-time hybrid role based in the London Area, United Kingdom. As a Senior MLOps & Platform Engineer, you will be responsible for designing, building, and maintaining robust software infrastructure to support large-scale machine learning applications. You will troubleshoot technical issues, manage databases, and optimize programming workflows for AI-driven financial solutions. Collaborating with cross-functional teams, you will ensure the reliability, scalability, and performance of our proprietary tools. This role offers the flexibility to work both on-site in London and remotely as needed. Qualifications • Strong skills in troubleshooting and problem-solving within complex systems, • Proficiency in software development and infrastructure management, • Expertise in programming and writing optimized, scalable code, • Hands-on experience with database design, management, and optimization, • Familiarity with cloud platforms, DevOps practices, and CI/CD pipelines, • Experience working with AI or MLOps frameworks is a plus, • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, • Strong analytical thinking and ability to work collaboratively in cross-functional teams Package • Competitive base + stock options, • Flexible working days / hours

Senior Machine Learning Scientist A fantastic opportunity for a Senior Machine Learning Scientist to work for a health-tech software company developing advanced machine learning models used within clinical research. The organisation applies modern machine learning techniques to complex medical datasets to support better understanding of patient outcomes and treatment response. This is a research-focused role, ideal for candidates who enjoy developing novel deep learning approaches and translating academic research into applied machine learning solutions. You will work on large-scale models and high-performance compute, with the opportunity to publish research while collaborating with engineering teams to ensure work can be taken forward into real-world use. Location: 1 day per week in London, remainder remote (UK based) Salary: £70,000 – £90,000 per annum, with flexibility for the right candidate, plus benefits Requirements for Senior Machine Learning Scientist • Strong experience in research and development of computer vision machine learning models, • Experience implementing state-of-the-art deep learning models in PyTorch, • Experience training large models across multiple GPUs and compute nodes, • Deep understanding of machine learning theory including linear algebra, probability, statistics and optimisation, • Experience with deep learning for computer vision, ideally including 3D imaging and or self-supervised learning, • Strong Python and PyTorch skills, with the ability to read and write high-quality training code, • Experience writing and maintaining production-grade Python code, including optimising training performance, • Experience working with modern development workflows including pull requests, code reviews, documentation and ticketing, • Experience working in cloud environments, • Strong Linux and Git skills alongside modern Python development tooling, • Proactive, self-sufficient and communicative working style, • Strong English written and verbal communication skills, • MSc or PhD in Computer Science or a closely related subject Responsibilities for Senior Machine Learning Scientist • Research and develop advanced deep learning and computer vision models applied to complex medical data, • Work on self-supervised pre-training and supervised learning tasks such as segmentation, classification and regression, • Translate academic research into robust and usable machine learning solutions, • Publish research outcomes in leading conferences and journals, • Collaborate with engineering teams to support downstream deployment and application of models, • Keep up to date with developments in machine learning research and apply them where appropriate What the role offers • A genuinely research-led machine learning position, • Opportunity to publish high-quality research, • Exposure to large-scale datasets and high-performance compute environments, • Hybrid working with a remote-first setup, • Competitive salary with flexibility for exceptional candidates Applications If you would like to apply for this unique Machine Learning Scientist role then please send your CV via the relevant links. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job board, full contact details are readily available on our website). Keywords: Senior Machine Learning Scientist / Machine Learning Scientist / Research Scientist / Applied Research Scientist / Machine Learning Researcher / AI Research Scientist / Computer Vision Scientist / Deep Learning Scientist / AI Scientist / ML Research Engineer / Python / PyTorch / Deep Learning / Computer Vision / 3D Imaging / Volumetric Imaging / Self-Supervised Learning / Representation Learning / Foundation Models / Segmentation / Classification / Regression / GPU Training / Distributed Training / Multi-GPU Training / High Performance Computing / Cloud Machine Learning / Linux

What you’ll be doing Model Development: Design, train, and optimise machine learning models for user personalisation, including recommendation systems, ranking models, user segmentation, and content understanding, with a strong focus on TensorFlow-based development. Data Pipeline Engineering: Build and maintain scalable data pipelines to support feature engineering and model training across large structured and unstructured datasets, leveraging cloud‑native tooling. Production Deployment: Deploy, monitor, and maintain ML models in production environments, including cloud‑based model serving on GCP. Ensure high availability, strong performance, and continuous model relevance. Experimentation: Lead A/B testing and offline experimentation to evaluate model performance and guide ongoing improvement. Cross‑Functional Collaboration: Work closely with engineering, product, data, and research teams to ensure ML solutions align with product and business goals. Research & Innovation: Stay informed on advances in machine learning, deep learning, and personalisation, and evaluate their integration into existing systems. What you'll bring • End‑to‑end experience across the ML lifecycle: model development, training, deployment, monitoring, and continuous maintenance., • Strong proficiency in Python and ML frameworks, with expertise in TensorFlow (and experience with PyTorch)., • Experience with GCP machine learning and data services (e.g., Vertex AI, Dataflow, BigQuery, AI Platform, Pub/Sub)., • Hands‑on experience with ML training frameworks such as TFX or Kubeflow Pipelines, and model‑serving technologies like TensorFlow Serving, Triton, or TorchServe., • Background working with large‑scale batch and real‑time data processing systems., • Strong understanding of recommender systems, ranking models, and personalisation algorithms., • Familiarity with Generative AI and its use in production environments., • Strong communication skills and analytical problem‑solving abilities.

About the job Who are we and What do we do? ShareChat (Mohalla Tech Pvt Ltd) is India’s largest homegrown social media company and the only local player to achieve profitability in the industry, with 200+ million Monthly Monetizable Users across all its platforms. Founded in 2015, ShareChat has social media brands such as the ShareChat App and Moj App and micro drama app QuickTV under its portfolio. QuickTV, the newest addition to ShareChat's family of apps, crossed the 10 million downloads mark within 3 months of launch and currently has 60Mn MAUs across the network viewing the vertical episodic content. Today, the ShareChat network maintains a whopping 1,000 Cr ARR and is India’s leading social media platform servicing users across the country in 15 regional languages. This growth has led to a 28% YoY revenue growth in the July-Sept (2025-26) quarter and increased it by more than 60% in the Oct-Dec quarter. What does the team do? Serving recommendations to 300+ million users entails developing large scale personalization and recommendation models that understand user needs and preferences in realtime, while also helping creators grow their audiences on our platforms. A subset of the problems we tackle include: • Serving personalized feeds for 300+ million users via real-time candidate generators, multi-task prediction models, whole-page optimization, and in-session personalization., • Nurturing our content and creator ecosystem, and developing models for strategic content valuation. What You’ll Do Within the Sharechat AI team, we are looking for an experienced Staff engineer to lead the engineering efforts around serving personalization models efficiently at scale, leading efforts across 10+ MLEs, SDEs and decision scientists working on feed ranking and candidate generation systems that power Sharechat’s recommender systems. In this role you will help us further improve our recommendation systems in order to drive up user retention and engagement while minimizing server and cloud costs of serving large scale models, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress at a rapid pace. Who are you? • 12+ years of industry experience with a solid understanding of engineering, infrastructure and ML best practices. Strong coding skills with Go or JAVA, • Design and help develop systems that serve recommendations to over 300 million users, • Drive engineering roadmap creation and execution, specifically around feed ranking and recall oriented candidate generation systems, • Provide technical guidance in ranking systems design, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics, • Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders, • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of containerization and orchestration tools like Docker and Kubernetes is a plus., • Experience designing end to end ML data pipelines. Experience with database technologies such as PostgreSQL, MySQL, or MongoDB, Spark, Databricks and stream data processing such as Kafka, RedPanda is a plus., • Direct experience in building and applying large-scale (100M+ users) machine learning solutions for personalizing recommendations., • Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch is a plus., • You stay up-to-date with the state-of-the-art open source infrastructure solutions applicable to designing and improving large scale recommender systems, data engineering, and machine learning, • You have a Master’s or PhD in Computer Science, statistics, or an engineering field with 5+ years of experience Where will you be? London(Remote) What's in it for you? At ShareChat, our values—Ownership, Speed, User Empathy, Integrity, and First Principles—are at the core of our ways of working. We believe in hiring top talent and grooming future leaders by providing a flexible environment to aid growth and development.

Senior Quantitative Developer Location: London, UK (Full-time, In-office) Experience: 5–8 Years Compensation: Circa £160,000 Base + Performance-Linked Bonus The Role Are you ready to architect the next generation of autonomous trading? We are representing a top-tier London Hedge Fund looking for a Senior Quantitative Developer to build a fully automated, AI-driven systematic trading system. This role is for a specialist who doesn't just use tools but masters the underlying architecture. You will be responsible for integrating Claude (Anthropic) and advanced AI frameworks into a live production environment to generate alpha in the Equity Options markets. The Technical Challenge: Data at Scale You will be the custodian of a massive, high-fidelity data library. We aren't looking for "standard" Python users; we need an engineer who can optimize at the edge of performance: • Massive Throughput: Design scalable infrastructure to handle massive data loads, ensuring sub-millisecond processing times for large-scale financial datasets., • Historical Depth: Processing per-minute data points spanning 24 years of market history., • Vectorized Performance: Moving beyond Pandas—leveraging Polars for multi-threaded, Rust-backed data manipulation and Dask for distributed compute across clusters., • Execution Engine: Native integration with SpiderRock for complex Equity Options execution and automated risk-routing. Key Responsibilities • System Architecture: Build an end-to-end automated trading system from scratch using a modern, AI-first stack., • AI Integration: Leverage Claude and LLMs for signal extraction, code optimization, and autonomous strategy refinement., • High-Performance Computing: Implement predicate pushdown and efficient Parquet/Arrow storage to ensure backtests on decades of data run in minutes, not days., • Options Logic: Programmatically handle Greeks, volatility surfaces, and risk management through the SpiderRock API. What We’re Looking For • Experience: 5–8 years in a Quant Dev or Systematic Trading environment at a top fund or bank., • Coding Mastery: Expert proficiency in Python (Polars/Dask/FastAPI) and/or C++., • AI Native: Proven ability to use LLMs and Machine Learning to solve complex financial time-series problems., • Industry Standard Experience: You have worked with industry-standard large data before and understand the nuances of point-in-time integrity., • Equity Options Knowledge: Specific experience with options Greeks and execution platforms (SpiderRock is highly preferred). Why Join Us? • Total Rewards: A highly competitive base salary of £160k with a significant bonus structure that rewards PnL contribution., • Elite Environment: Work alongside the best minds in London in a high-conviction, low-bureaucracy trading floor., • Tech Freedom: You will have the mandate to use the best emerging tech (Claude, Rust-based tools) to win.

Digital Engineer Overview The Digital Engineer will join an innovative and new team, working within a recognised civil engineering consultancy with a market leading reputation. This role blends traditional civil engineering design and construction expertise with advanced digital capabilities, ensuring that modern tools and methods enhance the quality, efficiency, and delivery of built‑environment projects. Key Responsibilities • Develop engineering solutions across design and construction phases., • Apply engineering principles to analyse, model, and solve technical problems., • Use digital tools such as BIM, 3D modelling, simulation software, and point‑cloud processing to support design and delivery., • Handling extensive datasets and providing analysis for various projects, • Providing guidance on complex civil engineering challenges by performing forensic data analysis, • Collaborate with multidisciplinary teams to coordinate project information and ensure design integrity., • Contribute to the development of digital workflows, pipelines, and automation processes., • Support continuous improvement by identifying opportunities to enhance efficiency and quality through digital methods. Essential Skills & qualifications • Degree in civil, structural, geotechnics, or a closely related engineering discipline., • Relevant experience of civil engineering design, ideally either geotechnical or structural engineering, • Strong analytical and problem‑solving ability., • Excellent communication and interpersonal skills., • Strong practical experience of using Python for writing and manipulating code, • Proficiency with digital engineering tools (e.g., BIM platforms, 3D modelling, simulation software)., • Understanding of 2D/3D computer vision, point‑cloud segmentation, or related digital techniques (where relevant)., • Familiarity with machine learning concepts such as Convolutional Neural Networks, • (CNNs)., • Solid grounding in core engineering principles and practices., • Ability to work collaboratively within multidisciplinary teams., • High attention to detail and commitment to quality. What’s on offer • Travel season ticket loan., • Life Insurance., • Cycle to Work Scheme., • Professional Memberships., • Flexible working & hybrid working (up to 3 days from home)

About Us: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for experienced Backend, Full Stack and Platform Engineers to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help build engaging & intuitive app experiences and the event-driven & real-time backend services that power them. You’ll work across our platform, real-time data flows and APIs on a platform designed for scale & flexibility. Responsibilities: • Encourage the adoption of AI-assisted product and software development workflows throughout the company, • Contribute to distributed, event-driven backend services connecting our web experience with information from remote devices and external data sources., • Model and manage structured and semi-structured data across storage layers, • Integrate AI-driven personalisation and real-time insights into user flows, • Contribute to overall system design: service boundaries, data ownership, scaling, and observability Essential Qualifications: • AI-Native development: use AI tools such as CoPilot or Cursor as a collaborator and accelerator of development, • Built modern full-stack applications w/ focus on backend (e.g. Python, Java, Go), • Worked with a variety of storage technologies (e.g. Postgres, Mongo, Redis, Object), • Experience with async and bi-directional communication protocols and patterns (eg. WebSockets, SSE), • Designed and implemented event-driven distributed systems (e.g. Kafka, Pulsar, RabbitMQ, MQTT, or similar), • Experience with container orchestration and service containerisation (Kubernetes, Docker), • Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Nice to Have: • Experience in web or Android development (e.g. Javascript, Typescript, React.js, Kotlin), • Worked with real-time data collection and/or processing, • Worked in an IoT or Edge-oriented architectures, • Experience or knowledge in retail POS, inventory, or loyalty systems

Senior Full Stack Data Engineer – Decho Group (Part of Accenture) About Decho Group Decho Group is a fast-growing Tech and AI consultancy, founded to solve complex data challenges for governments and enterprises. We specialise in Palantir technologies, advanced analytics, and AI-driven solutions that transform how organisations make decisions. In October 2025, Accenture acquired Decho Group, recognising our unique ability to combine deep engineering expertise with strategic advisory, tackling mission-critical problems in defence, healthcare, and commercial industries. Joining Decho means joining a consultancy where AI meets engineering excellence. You’ll be part of a team that thrives on curiosity, collaboration, and bold thinking, working on projects that genuinely change lives and industries. The Role We’re seeking Senior Consultant Engineers who want to apply their technical mastery in AI consultancy and Palantir engineering while shaping the future of data-driven decision-making. This is a hands-on, client-facing role where you’ll lead technical delivery, partner directly with stakeholders, and act as a trusted advisor. You’ll combine software engineering expertise with strategic problem-solving, working across data pipelines, operational workflows, and AI models to deliver transformation at scale. Key Responsibilities • Lead & Architect: Own the design of innovative solutions using Palantir software, ensuring scalability and long-term impact., • Engineer Data at Scale: Build, optimise, and maintain complex pipelines and ETL processes powering mission-critical decision models., • Strategic Workflows: Develop enterprise-grade workflows and decision-support tools that reshape operations across industries., • AI Leadership: Guide the integration of AI and machine learning models into client environments, ensuring measurable outcomes., • Client Engagement: Partner directly with senior stakeholders, translate business needs into technical solutions, and influence strategic direction., • Technical Excellence: Set engineering standards, champion best practices, and drive continuous improvement across teams., • Mentorship & Growth: Coach junior engineers, foster knowledge-sharing, and contribute to the Decho Lab’s innovation culture. What We’re Looking For • 5+ years of experience in software/data engineering with proven expertise in Python, SQL, and TypeScript., • Ideally experience with Palantir technologies (Foundry, Gotham, or similar platforms)., • Advanced knowledge of data engineering, ETL pipelines, and workflow design at enterprise scale., • Track record of leading teams, mentoring engineers, and delivering complex projects in client-facing environments., • Passion for AI, machine learning, and emerging technologies, with ability to translate innovation into impact., • Exceptional problem-solving, communication, and stakeholder management skills., • Curiosity, adaptability, and a drive to make a real-world impact. Why Join Us • Be part of a fast-growing AI consultancy now backed by Accenture’s global scale., • Lead mission-critical, client-facing projects across government, defence, health, and commercial sectors., • Gain hands-on experience in AI, advanced analytics, and Palantir technologies while shaping industry standards., • Build your career story as a senior leader driving transformation in data-driven decision-making., • Thrive in a culture that values innovation, collaboration, and bold ambition. Unfortunately we can not provide sponsorship for this opportunity

Founding Engineer Flexible Hybrid (London) £50k-£60k + Equity High Ownership, Real Product, Real Impact The opportunity If you’re an Engineer with a couple of years under your belt and you’re starting to look for more ownership, more responsibility, and faster growth, this is a rare opportunity to join at exactly the right moment. Staxy are at a stage where the product is live, customers are engaged, and the technical challenges are only getting more interesting. What they need now is someone who’s excited to step up, learn fast, and grow alongside the company. Who are Staxy? Staxy is an early-stage technology startup building products that sit at the intersection of sport, location data, and real-world behaviour. They work with organisations to better understand how people move, engage, and interact with physical spaces, using mobile technology, location data, and analytics to generate meaningful insight. They’re already live with Aston Villa as a cornerstone client, have secured VC funding, and are seeing strong pull from customers who are actively asking them to expand the product. Backed by an experienced board with deep roots in sport and commercial leadership, Staxy are well past the “idea stage” and firmly into building and scaling. The role This is a Founding Engineer role with genuine ownership. You’ll work closely with the CTO, and other founders, and will be involved across the full product lifecycle, from shaping features through to shipping them. Day to day, you’ll be: • Building and shipping features across a mobile application and backend platform, • Working end-to-end, not just on isolated tickets, • Collaborating directly with the CTO on product priorities, • Taking ownership of smaller features early on, and growing into larger features and technical decisions over time You won’t be micromanaged, and you won’t be siloed. The expectation isn’t that you know everything, it’s that you’re curious, proactive, and keen to learn. The technology You’ll be working with a modern, pragmatic stack: • Mobile / Frontend: React Native, TypeScript, • Backend: Node.js (Fastify or similar), • Data: MongoDB, • APIs: RESTful services and mobile-to-server communication, • Other: Mapping / location-based services There’s also scope to get involved in machine learning over time. Staxy already use ML to process GPS data and understand travel behaviour, and this will become a bigger focus as the platform evolves. You don’t need ML experience right now, interest and curiosity are enough. Key responsibilities • Build and ship features across the mobile app and backend, • Develop and consume REST APIs, • Write clean, maintainable TypeScript, • Work closely with the CTO on technical decisions and implementation, • Take increasing ownership of functionality as you grow, • Contribute ideas and improvements as the platform evolves What we’re looking for Must have: • Around 2–3 years’ experience as a developer, • Good working knowledge of JavaScript / TypeScript, • Experience building and shipping real features (ideally mobile), • Some exposure to Node.js and backend development, • A genuine curiosity and desire to learn Nice to have: • React Native / Expo experience, • MongoDB, • Fastify or similar Node frameworks, • Mapping or location-based services, • Payments (e.g. Stripe), • Any exposure or interest in machine learning Growth & progression Because the team is small and early-stage, this is a role where progression is earned, not capped. As Staxy grow, there will be clear opportunities to: • Own larger areas of the product, • Influence technical direction, • Mentor future hires, • Step into more senior or lead-style responsibilities over time If you want a role where you can look back in 12–18 months and clearly see how far you’ve come, this is that environment. Package • Base salary of between £50k-£60k (A little flexibility depending on experience), • Meaningful equity options, offering genuine long-term upside as the company grows, • Pensions contributions, • Flexible working, • The chance to work on a live, growing product with real users Interested? If you’re an Engineer ready to step up, learn fast, and build something that’s already gaining real traction, we’d love to hear from you! Apply now or get in touch to find out more.

Senior Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | EU Remote | | Salary Up to £130,000K, plus early equity+benefits The Client: A leading organization in the drug discovery field is currently looking for a client facing Senior Machine Learning Engineer to drive the development of foundational models that directly impact real-world drug discovery workflows. This hands-on, high-impact role offers the opportunity to advance the application of foundational models to complex structural biology challenges. The successful candidate will work closely with the leadership team, serving as the technical authority on machine learning modeling, architecture, and experimentation in this domain. While this role does not involve people management, the candidate will be expected to provide mentorship and guidance to engineers and researchers on technical content. The ideal candidate brings deep expertise in training and deploying state-of-the-art models for protein structure prediction. Beyond technical proficiency, you must understand how these models integrate into broader drug discovery pipelines and possess the strategic mindset needed to break down complex problems into actionable, impactful ML solution Requirements for the Senior Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | EU Remote | | Salary Up to £130,000K, plus early equity+benefits • Deep Technical Expertise: Proven experience building and training contemporary models (e.g., AlphaFold, OpenFold, Boltz) at scale in a production environment, • A strong track record of applying ML to real-world protein structure prediction or drug discovery problems., • Comfortable in a fast-paced startup environment, with the ability to break down complex technical problems into impactful ML systems., • Experience in Federated Learning, privacy-preserving ML, or a portfolio of publications in top-tier journals/conferences like NeurIPS, ICML, or Nature Methods, • Work with our customers and academic partners to define data, preprocessing, selection, and benchmarking strategies for novel training tasks involving protein structures, complexes, and multimodal biological data, • Carry out case-studies associated with the above, providing scientific and technical expertise to our customers. You will be involved in the full project pipeline, from scoping through to results delivery and dissemination. Responsiblities of the Senior Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | EU Remote | | Salary Up to £130,000K, plus early equity+benefits • Advance the state-of-the-art by fine-tuning and customizing foundational architectures such as OpenFold, ESMFold, and Boltz-2 for specialized structural biology challenges., • Architect model extensions tailored for binding affinity and protein complex prediction, overseeing everything from data distillation to rigorous benchmarking., • Partner with leading academic and industry stakeholders to engineer data selection and preprocessing strategies for complex, multimodal biological datasets., • Lead comprehensive technical case studies, managing the entire lifecycle from initial project scoping to the final dissemination of results., • Develop and sustain high-scale ML pipelines that support efficient training, inference, and production-grade deployment, • Work across internal teams to ensure all model development is anchored in solving genuine drug discovery hurdles., • Drive external impact through high-quality open-source contributions and scientific publications. Remuneration: • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the Machine Learning Engineer role, ping us over your CV and we will give you a call if we think you are a good match!

Implementation Engineer – Graduate Considered An exciting opportunity for a talented graduate or experienced implementation or support engineering professional to join a market-leading, disruptive software company in London as an Implementation Engineer. Specialising in cutting-edge machine learning technology, this rapidly growing organisation offers excellent training, career progression, and long-term prospects. You’ll have the chance to work alongside some of the brightest minds in the industry, gaining hands-on experience while supporting customers with the implementation of technology that is at the forefront of innovation. This role would ideally suit anyone with strong client-facing skills and strong technical acumen. Location: Central London– 3 days in office / 2 days remote Salary: Negotiable per annum + comprehensive benefits Requirements for Implementation Engineer – Graduate Considered: • A minimum of a 2.1 bachelors from an internationally renowned University in a STEM related discipline and at least ABB at A-Level or equivalent UCAS points, • Basic scripting knowledge in Python or Bash beneficial, • You really care about the customer experience and have experience to prove this (can be from summer job, internship etc)., • A motivated self-starter with a problem-solving attitude, • Strong aptitude for picking up technologies, • Ability to work with autonomy and as part of a team, • Great communication skills with fluent spoken and written English, • You are keen to work in a client-facing technical role (opposed to taking the R&D route), • Must be available to start before end of March 2025, so may not be suitable for those who haven’t yet graduated Responsibilities for Implementation Engineer • You will initially be fully trained on the machine learning platform to understand the intricacies of the product, • You will then act as the main point of contact and liaise with customers and internal teams (predominantly the tech team), • Manage customer implementations and support issues, • Basic troubleshooting, and escalation of issues to the tech team, • Give an excellent customer experience throughout the process What this offers • Working for an industry-leading software company who has a fantastic track record of successfully hiring and training graduates, • An exciting opportunity to forge a career in Implementation & Techical Support Engineering for a fantastic fast-growing company, • A good remuneration and benefits package Applications Please send an up-to-date CV via the relevant link. Please ensure when applying that your degree classification/GPA and your A Level grades (or equivalent) are on your CV. Please send an up-to-date CV via the relevant link. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job-board, full details for contact are available on our website). Keywords: Implementation Engineer / Support Engineer / Technical Support Specialist / IT Support Engineer / Customer Support Engineer / Application Support Engineer / Software Support Engineer / Client Support Engineer / Systems Support Engineer / Service Desk Engineer / Helpdesk Engineer / Technical Solutions Engineer / IT Solutions Engineer / Product Support Engineer / Platform Support Engineer / Technology Support Engineer Python / Bash / 1st line / first line / junior / trainee / graduate / entry-level RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists. Even if the above role isn’t of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you like the idea of working for a super-smart, small scale start-up and building / researching an ML product which will redefine the market for Martech products this could be the job for you. Salary up to £50K per year plus equity. digital:clock is an extreme precision AI technology product for marketing teams that works with clients’ marketing platform as an optimisation / prediction layer solving two massive problems: Planning multi-channel marketing campaigns Generating high quality leads Our company We are three founding partners with +30 years experience in Marketing / Marketing Systems and Database Development / Sales. Product / market fit: We found problems in our day jobs (a global media company) that are shared by every Marketer and can be solved with ML engineering. Our Culture: Our brand values are Precision, Disruption, and Easy / Fun, and to complete the four corners of our Culture Square we add a broad approach to DEI & Sustainability viewing them through four key lenses - Economic, Cultural, Environmental, Social. We love doing amazing work and we love a positive working environment. Where we’re at We’ve identified product / market fit, we have a wire frame of our data flow, a user interface design, a draft of our AI model architecture and a Dev Partner - a $200mn global business who we’re partnering with to build and test our model. We’re self-funded with clear milestones to profitability and we have angel investors if we need further funding (happy to tell you more about this). We have several senior advisors and now we’re looking for an ML Engineer to start building. The role We’re looking for a Machine Learning expert to help shape our ML strategy, architect the model, and build it from the ground up. • Work with co-founders, CEO & Chief Operating Office (Marketing Systems and Database Development) and freelance help from an Assistant Professor of AI at UCL to identify the right ML strategy for digital:clock., • Architect the model and build it from the ground up. Our first product helps marketers plan multi-channel comms, the second to generate leads for sales teams. Both use data in our clients’ data stack, show optimisation opportunities to Marketers, then send comms optimisations to clients’ marketing platform., • We need to build a zeroshot API to integrate with clients’ data stack and marketing platform., • Build / test / learn with our Dev Partner., • Once we have our training model we’ll need to do some context engineering for each client., • We have budgeted for separate front end development / tech support. Your Skills • Love to build / test / learn ML solutions from ground up., • Excited by the chance to build a foundational AI model in the Marcoms space., • Happy to work remotely with regular weekly face-to-face or remote catch ups with founders., • Self-starter, happy to discuss a brief and go off and build, with support if needed from a freelance Assistant Professor (AI UCL)., • Happy to work with Dev Partner on test / learn at early stages - they’re very nice, our CEO used to be VP Marketing there.

Key Accountabilities: • Knowledge and experience in global energy markets with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading organization., • Strong communication skills with the ability to communicate analytics to necessary stakeholders and influence commercial decisions., • Develop and implement fundamental balances, pricing models and other tools to surface commercial opportunities within the low-carbon, power, gas, and oil markets, harnessing best practices and advanced modelling techniques., • Engage with stakeholders (traders and analysts) to ensure that solutions/models are optimal and deliver deep commercial insight., • Identify repetitive processes that can be standardized into modules that can be reused across projects. Essential Experience • Undergraduate degree in STEM subject or quantitative discipline., • Knowledge of European energy markets (e.g. gas, LNG, or power)., • Understanding of supply and demand drivers together with how physical and related financial instruments are traded., • Track record of working with traders or other business stakeholders to create commercially actionable models., • Experience with a range of modelling techniques including, regression, time series analysis, forecast modelling and machine learning., • Excellent problem-solving skills., • Experience using a coding language to develop models and analytical tools., • Experience manipulating and analyzing large, complex datasets. Desirable Experience & Skills • Practical knowledge of data engineering practices (designing and building robust data pipelines), • Knowledge of python and core libraries applicable to data science (e.g., pandas, numpy, statsmodel)

Machine Learning Engineer London – (3 days a week in office) Up to £90,000 About the Role Our client is a data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They combine deep technical expertise with real-world delivery to design, build and deploy machine learning solutions that create tangible business impact. As a Machine Learning Engineer, you’ll work closely with Data Scientists, Data Engineers and delivery teams to productionise models and build robust, scalable ML systems within client environments. This role is highly hands-on, with a strong focus on deployment, performance and reliability. Key Responsibilities • Translating data science models into scalable, production-ready machine learning solutions., • Designing and building end-to-end ML pipelines, from data ingestion to deployment and monitoring., • Collaborating with data engineers on data architecture, pipelines and feature stores., • Working closely with data scientists to productionise models and improve performance., • Deploying, monitoring and maintaining machine learning models in live environments., • Productionising optimisation and predictive models at scale., • Building systems to anticipate and prevent operational downtime., • Deploying churn and customer behaviour models into live decision-making systems., • Enabling next-best-action and recommendation engines for commercial teams., • Supporting geospatial and advanced analytical models with robust ML infrastructure. What We’re Looking For • 2+ years’ experience building and deploying production machine learning systems., • A strong academic background (Bachelor’s degree 2:1 or above in a quantitative subject)., • Strong Python skills and experience with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch)., • Experience with model deployment, monitoring and ML pipelines (e.g. CI/CD, MLOps concepts)., • A collaborative mindset with strong communication skills and experience working in cross-functional teams. If this role looks of interest, apply below.

About S-Cube S-Cube is an award-winning energy tech startup revolutionizing the seismic industry. We are at the intersection of deep physics and cutting-edge Machine Learning. Our flagship technology, XWI, allows major global energy companies to "see" underground with unprecedented clarity. Role Description/Responsibilities As a Full Stack Engineer, you will architect and evolve the central nervous system of our operations: a sophisticated internal platform used by Geophysicists and Algorithm Developers to manage massive computational workloads running from both in-house and external users. You will bridge the gap between complex ML backends and intuitive user interfaces, creating tools that directly accelerate our R&D and optimise the QC process of our advanced algorithms. Key Responsibilities • Architect Scientific Platforms: Design and build scalable full-stack applications using Django and Angular. You will play a major role at the development lifecycle of our core dashboard, the central hub of our imaging workflows., • Optimize ML Workflows: Develop robust systems to query, parameterize, and track ML workloads. You will build utilities that allow our scientists to compare high-compute jobs, identify trends, and streamline the process., • User-Centric Feature Development: Collaborate directly with our internal users (PhDs, Geophysicists, and Algo Developers) to translate complex scientific requirements into seamless UI/UX features. We believe in using the right tool for the job. Our core environment includes: • Backend: Python, Django, RESTful APIs, SQL (PostgreSQL/MySQL)., • Frontend: TypeScript, Angular, HTML5/SCSS., • Cloud & Ops: AWS (EC2, S3, Lambda), Docker., • Data/ML Context: Interaction with ML pipelines and high-performance computing tasks., • Bachelor's (BSc) or Master's (MSc/MEng) degree in Computer Science, Physics, Mathematics, or a related field, • 3+ years of industry experience, • Proficiency in Python and Angular is essential., • Demonstrated expertise in both frontend and backend development, utilizing frameworks like Django, Angular, Rest, etc., • Strong command of SQL or equivalent database technologies, • Experience with ML workflows and agentic systems, • Bonus: experience working with cloud services and implementing/managing CI/CD pipelines

Job Title: AI Researcher Location: Cambridge or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs across multiple modalities. You’ll sit at the intersection of RL, LLMs, and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs with human and organisational preferences. Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines. Publish findings in top-tier AI conferences and contribute to open-source frameworks. Key Requirements: PhD in Computer Science, Machine Learning, or related field. Publications at NeurIPS, ICML, ICLR, ACL, or related venues. Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF). Hands-on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer, with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 • Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’, • Build fully-automated pipelines for dictionary building; including span identification, word sense distribution, and sense granularity decision, • Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data, • Create brand new dictionaries and train models to determine the difficulty of words, idioms, phrasal verbs etc., • Analyse large amounts of diverse data - including data from every movie, book, and song, • Work in a cross-functional team and communicate with backend engineers and product managers, • Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results, • Optimise and fine-tune machine learning models for performance, scalability, and accuracy Essential skills 🙏 • Strong expertise in NLP, • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers, • Experience building automated data pipelines, • Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar), • Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services, • Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and information retrieval Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with reinforcement learning, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience using voice data in ML models What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget (courses, conferences, books etc.), • Lunch provided by the company every day, • Regular social events, • 25 days annual leave + public holidays, • Work from our London office Interview Process 🧪 • 3 interviews, which will be mixture of technical and non-technical tasks, • If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite.