Trabajos product research 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 We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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

Location for this position is flexible, we are accepting candidates who are able to work Hybrid 2 days in the office in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Lead User Researcher in our Digital Customer Experience team, you'll help Sky better understand our customers and their needs. You'll lead research initiatives within Agile teams, collaborate across Sky to inform the transformation of digital journeys on sky.com and the My Sky app, and contribute to building a thriving research culture. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From first-time visitors to long-term customers, you'll ensure every digital interaction reflects Sky's brand and ambition to deliver outstanding customer experiences. What you'll do • Lead within a team of user researchers to analyse, define, and improve end-to-end journeys across multiple channels., • Plan and run research activities including usability testing, field studies, card sorting, tree testing, ethnography, diary studies, and surveys., • Champion the customer voice in strategic conversations, ensuring needs and behaviours drive prioritisation and design outcomes., • Shape research practices and operations, promoting the value of user research across the organisation, • Champion AI-enhanced research tools, analytics integration, and data-driven processes to improve efficiency, quality, and insight scalability., • Ensure accessibility, representation, and inclusive practices are embedded across all our digital experiences.What you'll bring, • Proven experience leading user research for large-scale digital products and services, with demonstrable impact across web and native applications., • Expert-level skills in qualitative and quantitative research methods including usability testing, field studies, surveys, card sorting, tree testing, ethnography, diary studies, and other behavioural research techniques., • Deep knowledge of research tooling ecosystems, including in-person lab testing, Usertesting, UserZoom, Optimal Workshop, and similar platforms., • Skilled at combining behavioural analytics e.g., Adobe Analytics, Contentsquare, with qualitative insights for evidence-based recommendations., • Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments.We'd love to see examples of your work. If you have a portfolio, or any selection of project artefacts, please share pieces that demonstrate your strengths in the following areas: • People - How you've built, supported, or enabled high-performing teams., • Process - How you apply scalable user-centred design methods to deliver measurable outcomes., • Position - How you influence strategy and champion design across an organisation., • Product - How your work has shaped world-class, app-first digital experiences, with clear outcomes and impactIf you don't have a formal portfolio, don't worry links, slide decks, case studies or short write-ups are all welcome. Choose whatever best tells the story of your contribution. But we do need to understand the process, the user needs, business goals, design changes based on evidence gathered, and customer outcomes & business impact. 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 experiencesHow you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base • London (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. • OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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

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

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

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

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

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

Location for this position is flexible, we are accepting candidates who are able to work Hybrid 2 days in the office in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Lead User Researcher in our Digital Customer Experience team, you'll help Sky better understand our customers and their needs. You'll lead research initiatives within Agile teams, collaborate across Sky to inform the transformation of digital journeys on sky.com and the My Sky app, and contribute to building a thriving research culture. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From first-time visitors to long-term customers, you'll ensure every digital interaction reflects Sky's brand and ambition to deliver outstanding customer experiences. What you'll do • Lead within a team of user researchers to analyse, define, and improve end-to-end journeys across multiple channels., • Plan and run research activities including usability testing, field studies, card sorting, tree testing, ethnography, diary studies, and surveys., • Champion the customer voice in strategic conversations, ensuring needs and behaviours drive prioritisation and design outcomes., • Shape research practices and operations, promoting the value of user research across the organisation, • Champion AI-enhanced research tools, analytics integration, and data-driven processes to improve efficiency, quality, and insight scalability., • Ensure accessibility, representation, and inclusive practices are embedded across all our digital experiences.What you'll bring, • Proven experience leading user research for large-scale digital products and services, with demonstrable impact across web and native applications., • Expert-level skills in qualitative and quantitative research methods including usability testing, field studies, surveys, card sorting, tree testing, ethnography, diary studies, and other behavioural research techniques., • Deep knowledge of research tooling ecosystems, including in-person lab testing, Usertesting, UserZoom, Optimal Workshop, and similar platforms., • Skilled at combining behavioural analytics e.g., Adobe Analytics, Contentsquare, with qualitative insights for evidence-based recommendations., • Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments.We'd love to see examples of your work. If you have a portfolio, or any selection of project artefacts, please share pieces that demonstrate your strengths in the following areas: • People - How you've built, supported, or enabled high-performing teams., • Process - How you apply scalable user-centred design methods to deliver measurable outcomes., • Position - How you influence strategy and champion design across an organisation., • Product - How your work has shaped world-class, app-first digital experiences, with clear outcomes and impactIf you don't have a formal portfolio, don't worry links, slide decks, case studies or short write-ups are all welcome. Choose whatever best tells the story of your contribution. But we do need to understand the process, the user needs, business goals, design changes based on evidence gathered, and customer outcomes & business impact. 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 experiencesHow you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base • London (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. • OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. 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.

Location for this position is flexible, we are accepting candidates who are able to work Hybrid 2 days in the office in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Lead User Researcher in our Digital Customer Experience team, you'll help Sky better understand our customers and their needs. You'll lead research initiatives within Agile teams, collaborate across Sky to inform the transformation of digital journeys on sky.com and the My Sky app, and contribute to building a thriving research culture. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From first-time visitors to long-term customers, you'll ensure every digital interaction reflects Sky's brand and ambition to deliver outstanding customer experiences. What you'll do • Lead within a team of user researchers to analyse, define, and improve end-to-end journeys across multiple channels., • Plan and run research activities including usability testing, field studies, card sorting, tree testing, ethnography, diary studies, and surveys., • Champion the customer voice in strategic conversations, ensuring needs and behaviours drive prioritisation and design outcomes., • Shape research practices and operations, promoting the value of user research across the organisation, • Champion AI-enhanced research tools, analytics integration, and data-driven processes to improve efficiency, quality, and insight scalability., • Ensure accessibility, representation, and inclusive practices are embedded across all our digital experiences.What you'll bring, • Proven experience leading user research for large-scale digital products and services, with demonstrable impact across web and native applications., • Expert-level skills in qualitative and quantitative research methods including usability testing, field studies, surveys, card sorting, tree testing, ethnography, diary studies, and other behavioural research techniques., • Deep knowledge of research tooling ecosystems, including in-person lab testing, Usertesting, UserZoom, Optimal Workshop, and similar platforms., • Skilled at combining behavioural analytics e.g., Adobe Analytics, Contentsquare, with qualitative insights for evidence-based recommendations., • Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments.We'd love to see examples of your work. If you have a portfolio, or any selection of project artefacts, please share pieces that demonstrate your strengths in the following areas: • People - How you've built, supported, or enabled high-performing teams., • Process - How you apply scalable user-centred design methods to deliver measurable outcomes., • Position - How you influence strategy and champion design across an organisation., • Product - How your work has shaped world-class, app-first digital experiences, with clear outcomes and impactIf you don't have a formal portfolio, don't worry links, slide decks, case studies or short write-ups are all welcome. Choose whatever best tells the story of your contribution. But we do need to understand the process, the user needs, business goals, design changes based on evidence gathered, and customer outcomes & business impact. 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 experiencesHow you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base • London (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. • OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. 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.

Location for this position is flexible, we are accepting candidates who are able to work Hybrid 2 days in the office in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Lead User Researcher in our Digital Customer Experience team, you'll help Sky better understand our customers and their needs. You'll lead research initiatives within Agile teams, collaborate across Sky to inform the transformation of digital journeys on sky.com and the My Sky app, and contribute to building a thriving research culture. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From first-time visitors to long-term customers, you'll ensure every digital interaction reflects Sky's brand and ambition to deliver outstanding customer experiences. What you'll do • Lead within a team of user researchers to analyse, define, and improve end-to-end journeys across multiple channels., • Plan and run research activities including usability testing, field studies, card sorting, tree testing, ethnography, diary studies, and surveys., • Champion the customer voice in strategic conversations, ensuring needs and behaviours drive prioritisation and design outcomes., • Shape research practices and operations, promoting the value of user research across the organisation, • Champion AI-enhanced research tools, analytics integration, and data-driven processes to improve efficiency, quality, and insight scalability., • Ensure accessibility, representation, and inclusive practices are embedded across all our digital experiences.What you'll bring, • Proven experience leading user research for large-scale digital products and services, with demonstrable impact across web and native applications., • Expert-level skills in qualitative and quantitative research methods including usability testing, field studies, surveys, card sorting, tree testing, ethnography, diary studies, and other behavioural research techniques., • Deep knowledge of research tooling ecosystems, including in-person lab testing, Usertesting, UserZoom, Optimal Workshop, and similar platforms., • Skilled at combining behavioural analytics e.g., Adobe Analytics, Contentsquare, with qualitative insights for evidence-based recommendations., • Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments.We'd love to see examples of your work. If you have a portfolio, or any selection of project artefacts, please share pieces that demonstrate your strengths in the following areas: • People - How you've built, supported, or enabled high-performing teams., • Process - How you apply scalable user-centred design methods to deliver measurable outcomes., • Position - How you influence strategy and champion design across an organisation., • Product - How your work has shaped world-class, app-first digital experiences, with clear outcomes and impactIf you don't have a formal portfolio, don't worry links, slide decks, case studies or short write-ups are all welcome. Choose whatever best tells the story of your contribution. But we do need to understand the process, the user needs, business goals, design changes based on evidence gathered, and customer outcomes & business impact. 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 experiencesHow you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base • London (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. • OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. 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.

Location for this position is flexible, we are accepting candidates who are able to work Hybrid 2 days in the office in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Lead User Researcher in our Digital Customer Experience team, you'll help Sky better understand our customers and their needs. You'll lead research initiatives within Agile teams, collaborate across Sky to inform the transformation of digital journeys on sky.com and the My Sky app, and contribute to building a thriving research culture. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From first-time visitors to long-term customers, you'll ensure every digital interaction reflects Sky's brand and ambition to deliver outstanding customer experiences. What you'll do • Lead within a team of user researchers to analyse, define, and improve end-to-end journeys across multiple channels., • Plan and run research activities including usability testing, field studies, card sorting, tree testing, ethnography, diary studies, and surveys., • Champion the customer voice in strategic conversations, ensuring needs and behaviours drive prioritisation and design outcomes., • Shape research practices and operations, promoting the value of user research across the organisation, • Champion AI-enhanced research tools, analytics integration, and data-driven processes to improve efficiency, quality, and insight scalability., • Ensure accessibility, representation, and inclusive practices are embedded across all our digital experiences.What you'll bring, • Proven experience leading user research for large-scale digital products and services, with demonstrable impact across web and native applications., • Expert-level skills in qualitative and quantitative research methods including usability testing, field studies, surveys, card sorting, tree testing, ethnography, diary studies, and other behavioural research techniques., • Deep knowledge of research tooling ecosystems, including in-person lab testing, Usertesting, UserZoom, Optimal Workshop, and similar platforms., • Skilled at combining behavioural analytics e.g., Adobe Analytics, Contentsquare, with qualitative insights for evidence-based recommendations., • Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments.We'd love to see examples of your work. If you have a portfolio, or any selection of project artefacts, please share pieces that demonstrate your strengths in the following areas: • People - How you've built, supported, or enabled high-performing teams., • Process - How you apply scalable user-centred design methods to deliver measurable outcomes., • Position - How you influence strategy and champion design across an organisation., • Product - How your work has shaped world-class, app-first digital experiences, with clear outcomes and impactIf you don't have a formal portfolio, don't worry links, slide decks, case studies or short write-ups are all welcome. Choose whatever best tells the story of your contribution. But we do need to understand the process, the user needs, business goals, design changes based on evidence gathered, and customer outcomes & business impact. 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 experiencesHow you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base • London (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. • OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. 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.

Location for this position is flexible, we are accepting candidates who are able to work Hybrid 2 days in the office in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Lead User Researcher in our Digital Customer Experience team, you'll help Sky better understand our customers and their needs. You'll lead research initiatives within Agile teams, collaborate across Sky to inform the transformation of digital journeys on sky.com and the My Sky app, and contribute to building a thriving research culture. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From first-time visitors to long-term customers, you'll ensure every digital interaction reflects Sky's brand and ambition to deliver outstanding customer experiences. What you'll do • Lead within a team of user researchers to analyse, define, and improve end-to-end journeys across multiple channels., • Plan and run research activities including usability testing, field studies, card sorting, tree testing, ethnography, diary studies, and surveys., • Champion the customer voice in strategic conversations, ensuring needs and behaviours drive prioritisation and design outcomes., • Shape research practices and operations, promoting the value of user research across the organisation, • Champion AI-enhanced research tools, analytics integration, and data-driven processes to improve efficiency, quality, and insight scalability., • Ensure accessibility, representation, and inclusive practices are embedded across all our digital experiences.What you'll bring, • Proven experience leading user research for large-scale digital products and services, with demonstrable impact across web and native applications., • Expert-level skills in qualitative and quantitative research methods including usability testing, field studies, surveys, card sorting, tree testing, ethnography, diary studies, and other behavioural research techniques., • Deep knowledge of research tooling ecosystems, including in-person lab testing, Usertesting, UserZoom, Optimal Workshop, and similar platforms., • Skilled at combining behavioural analytics e.g., Adobe Analytics, Contentsquare, with qualitative insights for evidence-based recommendations., • Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments.We'd love to see examples of your work. If you have a portfolio, or any selection of project artefacts, please share pieces that demonstrate your strengths in the following areas: • People - How you've built, supported, or enabled high-performing teams., • Process - How you apply scalable user-centred design methods to deliver measurable outcomes., • Position - How you influence strategy and champion design across an organisation., • Product - How your work has shaped world-class, app-first digital experiences, with clear outcomes and impactIf you don't have a formal portfolio, don't worry links, slide decks, case studies or short write-ups are all welcome. Choose whatever best tells the story of your contribution. But we do need to understand the process, the user needs, business goals, design changes based on evidence gathered, and customer outcomes & business impact. 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 experiencesHow you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base • London (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. • OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. 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.

Location for this position is flexible, we are accepting candidates who are able to work Hybrid 2 days in the office in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Lead User Researcher in our Digital Customer Experience team, you'll help Sky better understand our customers and their needs. You'll lead research initiatives within Agile teams, collaborate across Sky to inform the transformation of digital journeys on sky.com and the My Sky app, and contribute to building a thriving research culture. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From first-time visitors to long-term customers, you'll ensure every digital interaction reflects Sky's brand and ambition to deliver outstanding customer experiences. What you'll do • Lead within a team of user researchers to analyse, define, and improve end-to-end journeys across multiple channels., • Plan and run research activities including usability testing, field studies, card sorting, tree testing, ethnography, diary studies, and surveys., • Champion the customer voice in strategic conversations, ensuring needs and behaviours drive prioritisation and design outcomes., • Shape research practices and operations, promoting the value of user research across the organisation, • Champion AI-enhanced research tools, analytics integration, and data-driven processes to improve efficiency, quality, and insight scalability., • Ensure accessibility, representation, and inclusive practices are embedded across all our digital experiences.What you'll bring, • Proven experience leading user research for large-scale digital products and services, with demonstrable impact across web and native applications., • Expert-level skills in qualitative and quantitative research methods including usability testing, field studies, surveys, card sorting, tree testing, ethnography, diary studies, and other behavioural research techniques., • Deep knowledge of research tooling ecosystems, including in-person lab testing, Usertesting, UserZoom, Optimal Workshop, and similar platforms., • Skilled at combining behavioural analytics e.g., Adobe Analytics, Contentsquare, with qualitative insights for evidence-based recommendations., • Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments.We'd love to see examples of your work. If you have a portfolio, or any selection of project artefacts, please share pieces that demonstrate your strengths in the following areas: • People - How you've built, supported, or enabled high-performing teams., • Process - How you apply scalable user-centred design methods to deliver measurable outcomes., • Position - How you influence strategy and champion design across an organisation., • Product - How your work has shaped world-class, app-first digital experiences, with clear outcomes and impactIf you don't have a formal portfolio, don't worry links, slide decks, case studies or short write-ups are all welcome. Choose whatever best tells the story of your contribution. But we do need to understand the process, the user needs, business goals, design changes based on evidence gathered, and customer outcomes & business impact. 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 experiencesHow you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base • London (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. • OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. 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.

Location for this position is flexible, we are accepting candidates who are able to work Hybrid 2 days in the office in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Lead User Researcher in our Digital Customer Experience team, you'll help Sky better understand our customers and their needs. You'll lead research initiatives within Agile teams, collaborate across Sky to inform the transformation of digital journeys on sky.com and the My Sky app, and contribute to building a thriving research culture. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From first-time visitors to long-term customers, you'll ensure every digital interaction reflects Sky's brand and ambition to deliver outstanding customer experiences. What you'll do • Lead within a team of user researchers to analyse, define, and improve end-to-end journeys across multiple channels., • Plan and run research activities including usability testing, field studies, card sorting, tree testing, ethnography, diary studies, and surveys., • Champion the customer voice in strategic conversations, ensuring needs and behaviours drive prioritisation and design outcomes., • Shape research practices and operations, promoting the value of user research across the organisation, • Champion AI-enhanced research tools, analytics integration, and data-driven processes to improve efficiency, quality, and insight scalability., • Ensure accessibility, representation, and inclusive practices are embedded across all our digital experiences.What you'll bring, • Proven experience leading user research for large-scale digital products and services, with demonstrable impact across web and native applications., • Expert-level skills in qualitative and quantitative research methods including usability testing, field studies, surveys, card sorting, tree testing, ethnography, diary studies, and other behavioural research techniques., • Deep knowledge of research tooling ecosystems, including in-person lab testing, Usertesting, UserZoom, Optimal Workshop, and similar platforms., • Skilled at combining behavioural analytics e.g., Adobe Analytics, Contentsquare, with qualitative insights for evidence-based recommendations., • Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments.We'd love to see examples of your work. If you have a portfolio, or any selection of project artefacts, please share pieces that demonstrate your strengths in the following areas: • People - How you've built, supported, or enabled high-performing teams., • Process - How you apply scalable user-centred design methods to deliver measurable outcomes., • Position - How you influence strategy and champion design across an organisation., • Product - How your work has shaped world-class, app-first digital experiences, with clear outcomes and impactIf you don't have a formal portfolio, don't worry links, slide decks, case studies or short write-ups are all welcome. Choose whatever best tells the story of your contribution. But we do need to understand the process, the user needs, business goals, design changes based on evidence gathered, and customer outcomes & business impact. 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 experiencesHow you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base • London (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. • OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. 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.

The Fisher Investments Institutional Group (FIIG) serves a global client base of diverse investors, including corporate, public and multi-employer pension funds, foundations and endowments, insurance and financial institutions, and governments. FI currently manages ~$27B AUM with Responsible Investments/ESG/SRI guidelines (Environmental, Social, Governance/Socially Responsible Investing) for clients around the globe. The Opportunity: As the Responsible Investments (RI) Program Manager, you will lead the lifecycle of FIIG’s RI-related investment offerings which today include a diverse set of ESG/Sustainable/Impact/Paris-aligned/SRI branded strategies. Such leadership includes roadmap & product strategy development, competitor research, product design & enhancement, and external positioning. You will collaborate with multiple FIIG teams (New Strategy Development, Engagement, Sales/RFP, Marketing & Content) and firm groups (Portfolio Management Group, Legal Compliance Department, etc). You will understand global ESG investment trends & regulations to ensure the firm’s institutional ESG offerings are best positioned to meet current and future client demands. The Day-to-Day: • Support and develop ESG-product strategy, roadmap and business cases with firm stakeholders, • Conduct market and competitor analysis for equity/fixed ESG-product design and enhancement, • Create external product positioning, value-propositions, and key answers for FI’s ESG & Investment process, • Support the Responsible Investments team in day-to-day client/prospect requests and act as an internal ESG expert supporting training, • Maintain expertise in shifting ESG regulatory trends, industry standards, and best practices, • Monitor market developments from external organizations, third party reporting frameworks (e.g. PRI), ESG labels to understand evolving markets standards and client preferences Your Qualifications: • 5+ years' experience in the financial services sector with at least 3 years in ESG-product development, investment management, or manager research at an asset management/investment consulting firm, • Strong understanding of global equity markets, institutional investors, portfolio management techniques with experience communicating complex investment concepts, • Proven knowledge of ESG-related investor & regulatory trends in the EU (e.g. SFDR), UK and US, • Passionate about both Responsible Investments & asset management, • Experience using tools from services such as FactSet, Morningstar, and ESG data providers Why Fisher Investments Europe: The global Fisher organisation distinguishes itself by putting clients first, providing unmatched service, and taking a personalised approach to investing. You can feel confident knowing that we align with our clients' best interests by using a simple and transparent fee structure and recognised European custodians. It's the people that make the Fisher purpose possible, and to help our employees meet their long-term goals, we offer an array of benefits, including: • 100% paid premiums for our top-tier supplemental medical, dental and annual health screening plans for employees and their qualified dependents, • 28 days annual leave, with the ability to purchase up to 3 additional days per year, plus up to 8 paid holidays, • Enhanced maternity pay package with 16 weeks' top up to full base pay for eligible employees, • $10,000* fertility, hormonal health and family-forming benefit, • A retirement pension plan, featuring a 9% company contribution of base pay with an additional company match of up to 5% of base pay on personal contributions, • Gym subsidy of up to £50 per month, • Employee Assistance Program and other emotional wellbeing services, • A collaborative working environment that practises ongoing training, educational support and employee appreciation events, • This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. *Employees residing outside of the US will be eligible for the $10,000 equivalent in their local currency. FISHER INVESTMENTS EUROPE IS AN EQUAL OPPORTUNITY EMPLOYER

AI Engineer — Speech & Voice Intelligence Company: CNTXT Type: Full-time Location: Remote-friendly / Hybrid About CNTXT CNTXT is building voice AI infrastructure for the Arabic-speaking world. We work on the hard problems — natural speech synthesis, real-time transcription, and conversational voice systems — with a focus on Arabic language quality that actually serves the region's speakers. The Role We're looking for an AI engineer or researcher who is passionate about voice and speech technology. You'll work directly on the models and systems that power our speech products — evaluating architectures, running fine-tuning experiments, and shipping improvements to production. This is a hands-on role that sits at the intersection of research and engineering. What Our Team Works On Speech Synthesis (TTS) We build and fine-tune Arabic TTS systems based on state-of-the-art generative architectures — both autoregressive models that generate speech token by token and non-autoregressive models that produce full utterances in parallel. This includes working with neural vocoders (HiFi-GAN, MelGAN, WaveGlow), audio codecs and tokenizers (EnCodec, DAC, RVQ-based systems), acoustic encoders (HuBERT, wav2vec), and diffusion-based audio decoders. A significant focus is voice cloning and zero-shot speaker adaptation for Arabic voices. Speech Recognition (ASR) We work with encoder-decoder and CTC-based ASR models (Whisper, Conformer, wav2vec 2.0) to build accurate, low-latency Arabic transcription. This includes streaming inference, domain adaptation, and language model integration for Arabic dialect robustness. Speech-to-Speech We are building end-to-end voice interaction pipelines that chain ASR, language understanding, and TTS — with hard constraints on latency. This involves voice activity detection (VAD), speaker diarization, speech enhancement, and optimizing the full stack for real-time performance. Arabic Language Challenges Arabic presents unique challenges across the whole stack: diacritization (tashkil) is critical for TTS pronunciation accuracy, dialect variation (MSA, Gulf, Levantine, Egyptian, Maghrebi) affects both synthesis and recognition quality, and training data for many dialects remains scarce. A big part of our work is closing these gaps. What You'll Work On • Benchmark and evaluate TTS and ASR models on Arabic test sets — measuring WER, speaker similarity (SIM), naturalness, and dialect coverage across MSA and regional varieties, • Fine-tune pretrained TTS models on curated Arabic data — including ablations on diacritized vs. undiacritized input, dialect-specific training splits, and voice prompt conditioning, • Experiment with audio tokenizer and codec configurations — comparing discrete RVQ representations against continuous latent approaches and their effect on Arabic phoneme accuracy, • Build and maintain Arabic speech data pipelines — audio sourcing, normalization, diacritization, quality filtering, and manifest generation for model training, • Optimize models for production serving — streaming chunk generation, KV cache tuning, quantization, and batched inference for low-latency Arabic TTS and ASR, • Evaluate and adapt speech-to-speech pipelines — integrating ASR, LLM, and TTS components with attention to end-to-end latency and Arabic conversational quality What We're Looking For • Strong foundations in machine learning and deep learning, • Hands-on experience training or fine-tuning neural models — domain matters less than depth, • Comfortable with Python, PyTorch, and the HuggingFace ecosystem, • Able to read research papers and translate ideas into experiments independently, • Clear communicator who can work across research and engineering Nice to Have • Native or fluent Arabic speaker — a real advantage when evaluating synthesis naturalness and dialect quality, • Prior work with speech or audio models (ASR, TTS, speaker verification, codec, VAD, enhancement, or similar), • Familiarity with Arabic linguistic structure, diacritization tools, and NLP preprocessing for Arabic, • Experience with inference optimization — quantization, speculative decoding, CUDA kernels, or serving frameworks (vLLM, TensorRT), • Publications or open-source contributions in speech or audio What We Offer • Work at the frontier of Arabic voice AI — a genuinely underserved, high-impact area, • Direct influence on product and research direction, • Small, focused team — your work ships and matters, • Competitive compensation and remote flexibility

About us: Toluna is the global research and insights leader that enables businesses to make smarter, data-driven decisions – faster. For 25 years, we have partnered with the world’s leading brands, delivering transformative impact through our advanced technology platform, comprehensive solution portfolio, expansive global first-party panel, and world-class team of leading research experts. Since 2019, we’ve made significant investments in artificial intelligence to enhance automation, accelerate insight delivery, and unlock deeper understanding at scale. With 40+ offices worldwide, Toluna operates in 70+ countries, redefining the future of insights. Learn more at Responsibilities • Own and evolve the CRM product vision, roadmap, and delivery, ensuring alignment with business strategy and measurable outcomes., • Act as the primary interface between business stakeholders and technical teams, translating complex business needs into clear user stories, epics, and prioritised backlogs., • Lead CRM discovery sessions across Sales, Research, Operations, Marketing, Finance, and other functions to identify pain points, opportunities, and improvement areas., • Define, maintain, and govern CRM taxonomies, hierarchies, and data models, supporting stakeholders in making the right structural decisions., • Ensure all CRM solutions follow best practices, security standards, and scalable architecture principles., • Coordinate releases, manage dependencies, and proactively communicate changes and impacts to the business., • Define and track success metrics such as user adoption, efficiency gains, revenue impact, and data quality improvements., • Leverage CRM reporting and dashboards to drive insight, transparency, and decision-making., • Identify and implement opportunities for workflow automation, process optimisation, and data quality improvement., • Explore and assess AI-driven CRM capabilities where they create tangible business value., • Champion user experience and adoption, ensuring solutions are intuitive, low-friction, and well-documented., • Lead change management, training, and enablement initiatives, gathering feedback and continuously iterating on the platform. Your Profile (Skills) • Extensive, hands-on experience with Salesforce, including deep knowledge of core CRM functionality, • Proven experience owning and delivering product roadmaps for enterprise platforms., • Strong ability to translate business requirements into technical solutions, user stories, and prioritised backlogs., • Experience working closely with admins, architects, and developers in agile delivery environments., • Proven experience driving adoption, change management, and user enablement., • Excellent analytical, communication, and documentation skills. Nice-to-Have • Experience within the insights, research, or data-driven industries., • Knowledge of databases, system integrations, or wider enterprise architecture., • Experience evaluating or implementing CRM replacements or proprietary platforms., • Exposure to AI-driven CRM capabilities or automation initiatives. Our Values: • Acting with Ownership- Demonstrating individual accountability, • Bringing a forward mindset- Being action-oriented, bold and entrepreneurial, • Collaborating with Curiosity- Exhibiting teamwork through togetherness, • Discussing openly, committing jointly- Sharing your views openly, • Embracing empathy- Being egoless & caring What we Offer: At Toluna, we’re all about creating a welcoming, diverse workplace where everyone can thrive. We offer competitive pay, great benefits, and plenty of opportunities to grow within our global team. Inclusion and respect are at the heart of what we do. Our community connects over 72 million people across 70 countries. If you’re passionate about making an impact, we’d love to have you on board. Join our global team. We welcome big thinking and reward great work.

Overview At Tembo, we’re building the UK’s leading consumer mortgage platform. Backed by world-class investors including Aviva Ventures, Goodwater Capital, and Gresham House, we’re on a mission to redefine the mortgage category and power home ownership at scale. Home ownership is increasingly out of reach for many. We exist to change that - helping hundreds of thousands of buyers unlock the path to owning a home. Through innovative mortgage solutions, affordability schemes, and smart savings tools like our Lifetime ISA and Cash ISA, we give people the support they need to take their first step onto the property ladder. 2026 is a defining year for Tembo. Our focus is not just on growing the proposition further, but on scaling the engine behind it. That means making our team of 100+ advisers and operational colleagues dramatically more efficient through better products, better workflows, stronger automation, and smart application of AI. This role sits at the centre of that challenge. You’ll work across both our customer-facing mortgage experience and the internal tools, workflows and automations that power the business behind the scenes. You’ll be expected to deliver measurable impact against the metrics that matter most, especially automation performance and mortgages per adviser. AI will be a major part of that story. Tembo is not building foundation models, and we are not trying to be an AI startup. But we are investing heavily in how AI can be applied to the mortgage problem, and we expect to be at the leading edge of how AI is used in a consumer-facing mortgage business. This person will play a major role in identifying where AI can create real value and then turning those opportunities into shipped product. What you’ll do • Product development across our mortgage journey, spanning both customer-facing experiences and internal tools, • Build products, workflows and automations that help advisers and operational teams work faster, better and with less manual effort, • Identify high-impact opportunities to apply AI across the mortgage journey, both for customers and internal teams, • Work closely with advisers, operations, engineering, design, data, compliance and leadership to solve meaningful business problems, • Go deep into customer needs, operational bottlenecks and team workflows, and turn those insights into practical product improvements, • Own initiatives end to end, from research and hypothesis through to design, execution, testing, launch and iteration, • Drive measurable improvements in efficiency, automation and mortgages per adviser How we work Tembo’s culture is highly hands-on. Senior colleagues are expected to own both strategy and execution. This is not a role for someone who wants to spend weeks in roadmap tools or operate at a distance from delivery. It’s a role for someone who wants to get close to the problem, research it properly, form strong hypotheses, design smart solutions, and then execute, test, ship and measure their work. You should be just as comfortable thinking strategically as you are getting into the detail. At Tembo, it matters just as much that you can investigate, shape and design the right solution as it does that you can get it live and prove its impact. What we’re looking for • Strong product management experience, ideally in mortgages, fintech, banking, or another complex operational environment, • A track record of shipping meaningful product improvements and delivering measurable outcomes, • Experience working across both customer-facing products and internal tools or workflow systems, • Strong analytical and commercial judgement, with a clear focus on impact, • Excellent collaboration skills and the ability to work effectively across multiple functions, • Strong instinct for where AI can create genuine value in a real operating business, • A highly hands-on approach, with comfort moving between strategy, discovery, design and execution, • Someone who is motivated by solving hard problems, improving systems, and moving the metrics that matter Why this role is special Tembo’s product team is very lean. That makes this an exceptionally rare opportunity to join a co-founder-led product team and have outsized impact. You won’t be a small cog in a large product organisation. You’ll be close to the most important problems in the business, close to decision-making, and close to execution. You’ll have the chance to shape not just the customer proposition, but the internal engine that powers it. If you want to build at the frontier of consumer mortgages, and do it in a team that values speed, depth, ownership and execution, we’d love to hear from you. Benefits • Hybrid working, London based, • Private health insurance, • Enhanced parental benefits, • Birthday day off, • Annual international team offsite (Portugal this year), • Competitive salary and equity Our Values Find a way We innovate relentlessly to help customers get onto the property ladder. It’s all about the people Customers, colleagues, and partners are at the heart of everything we do. If you don’t like it, change it We move quickly, listen to feedback, and evolve constantly.

Entrust Identity Verification — Powering the systems behind digital trust. At Entrust, identity is no longer a compliance checkbox—it’s a real-time product problem shaped by machine learning, adversarial behavior, and high-stakes decisions. Every verification is a trade-off between fraud prevention, user experience, speed, and trust—and getting it right determines whether a legitimate user gets access or a sophisticated attacker gets stopped. Our Identity portfolio (formerly Onfido) powers document and biometric verification, fraud detection, and identity decisions at global scale. From detecting deepfakes to enabling seamless onboarding, our ML systems sit directly on the critical path of digital trust—used by banks, fintechs, marketplaces, and enterprises worldwide. About the Team: You’ll join a high-caliber Applied Science group (~20+ scientists) working at the intersection of machine learning, product, and real-world constraints. The team is supported by a state-of-the-art ML Ops ecosystem (AWS, Encord, Ray, PyTorch Lightning, Weights & Biases) and partners closely with product and engineering to ship models into production at scale. This is applied research in its truest sense: advancing the frontier while delivering systems that must be accurate, fast, fair, and resilient in adversarial environments. The team is supported by a state-of-the-art ML Ops ecosystem (AWS, Encord, Ray, PyTorch Lightning, Weights & Biases) and a massive proprietary dataset of images and videos. The team partners closely. Position Overview: We’re looking for an Applied Scientist Lead - Computer Vision to lead one of our Applied Science teams at Entrust. You will lead a team of 6 applied scientists that trains and evaluates vision-language models for data extraction on one side, and efficient models (<5MB) that run on mobile devices on the other. The ML space here is exciting: better vision-language models enable better and more general extraction, and techniques like distillation and quantisation allow models to become smaller and smaller. We expect this role to be hands-on for about 50% of your time—making contributions to the codebase helps you deliver better feedback as well. What you will be doing: • Define the team's roadmap together with product and engineering leads., • Stay up-to-date on the vision-language modelling and efficient ML literature, and translate these insights into product opportunities., • Manage a team of 6 Applied Scientists., • Contribute to the regular development lifecycle by contributing to dataset creation, model training and evaluation code., • Push the frontier of research in areas such as vision-language modelling, document understanding, few-shot learning, distillation, quantisation, and active learning., • Publish research results in national and international conferences and scientific journals. You may be a good fit if you: • Have 2+ years of experience leading a team of ML scientists or research engineers., • Have 5+ years of industry experience as an individual contributor in a machine learning science team, either as an ML scientist or research engineer., • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch. Strong candidates may also have: • Technical experience in one or more of the following areas: document understanding, vision-language modelling, few-shot learning, distillation, quantisation and active learning., • Published at top-level machine learning conferences., • Experience optimizing (distributed) training code. Where you will be: London, UK (Hybrid – 3 days in office) Why join us? Solve problems that matter—at scale. At Entrust, we combine cutting-edge research with a deeply product-oriented culture—where ideas don’t stop at papers, they power systems used by millions. Our products sit on the front lines of digital trust, tackling visual fraud at scale—from deepfakes and synthetic identities to sophisticated spoofing attacks. You’ll lead teams, shape ML direction, and build models that must perform in the real world—under adversarial conditions, across global systems, and with real consequences. If you’re motivated by turning advanced research into production-grade systems—and pushing the frontier while doing it—this is the kind of work worth doing. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123 Updated 5/21/2026 At Entrust, we don’t just offer jobs – we offer career journeys. Here is what you can expect when you join our team: • Career Growth: Whether you’re a budding developer or a seasoned expert, we’re invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority., • Flexibility: Life is all about balance. Whether you’re remote, hybrid, or on-site, we offer flexible options that fit your lifestyle., • Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow. We believe in securing identities—but it doesn’t stop there. At Entrust, we’re passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we’re creating a community where everyone is encouraged to be themselves. Ready to Make an Impact? If you’re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let’s build a more secure world—together.

About the Team You'll be joining the Industrial Design team — a cross-functional group of Industrial Designers, Experience Designers, and Creative Technologists working from our design studio in Kings Cross. This isn’t a traditional software development role; you might have a background in front-end engineering, creative coding, physical computing, or something else entirely. This isn't about building websites. It's about prototyping the future of how our hardware and software connect and behave as one - creating new interfaces and experiences that bridge the physical and digital. In addition to your core skills, we're interested in your superpowers, both in and out of work, and how they might contribute to what we're building. What You'll Do • Build and iterate on functional prototypes that define how our product ecosystem behaves — moving quickly from concept to working experience, • Partner with the Design team to build new interfaces and experiences, including the APIs and hardware integrations (BLE, Haptics, Sensors) that connect our hardware and software, • Build and own internal tools that make the design team faster and more capable — if a workflow can be better, you'll build the thing that makes it so, • Take ownership of our internal prototype deployment infrastructure, ensuring we can ship prototypes across the company with ease, • Research and de-risk complex features — providing the technical expertise that helps the team commit to the right ideas with confidence, • Drive technical excellence across the codebase, making pragmatic decisions that balance long-term stability with the need to move fast What We're Looking For • Full-stack experience with strong front-end craft — systems thinking and data flow, but also an eye for design, motion, and interaction detail. Great taste., • Experience integrating LLMs into products, whether that's AI-powered prototyping, agent systems, or orchestration. MCP experience is a plus., • Deep expertise in at least one programming language (JavaScript, Kotlin, Swift, or similar). We expect you'll use AI tools to accelerate your work — but there's no substitute for genuine fluency., • Creative instincts. This isn't a role where you'll be handed a PRD to implement — you'll be ideating and inventing as part of the process., • Pragmatism over polish. The experiences you create will feel like the real thing, but we need to get there fast. The best prototype is the one that validates the idea quickest., • Our mobile products are built on Android - experience prototyping on-device or using web technologies to achieve the same result is a plus., • Honesty, transparency, and empathy. At times you'll be heads-down solving a deep problem solo; other times you'll be brainstorming and collaborating with designers and creative technologists. How We Work • We build better tech by moving fast. That speed demands direct collaboration and shared creative energy. We believe the best work happens when we're together., • Location: London (Kings Cross & Farringdon offices)., • Working Pattern: This is a full-time, in-office role (5 days a week). We move fast, and that means being physically present. We design flexibility around personal needs, but we focus on the magic that sparks when we’re all in the same room., • Commute: We ask that you live within a 60-minute commute of your home office location.

The Role We are looking for a detail-focussed Applied Research Engineer to help us develop the next generation of the algorithms at the heart of our system. Our product is experiencing tremendous growth, and we need to ensure that we continue to deliver accurate insights in a rapidly changing landscape. This role requires someone who thrives in a fast-paced environment where continuous innovation and refinement are key. You will be working closely with our product team to ensure our algorithms and models capture their domain knowledge and expertise appropriately. This is an ideal opportunity for someone looking to kick-start a career in AI. Core responsibilities: • Designing, building, and testing AI-powered experiments working with leading-edge ML models., • Building and deploying AI-powered microservices following standard design patterns., • Implementing infrastructure as code using tools like Terraform or CloudFormation to automate deployment and scaling processes., • Statistical evaluation of candidate systems against functional and non-functional requirements, optimising for performance and cost-efficiency., • Collaborating with our wider engineering team, • Demonstrating a desire to continuously learn & improve You need to have: • Being a small company, candidates need to be able to work autonomously, be comfortable without micro-management, be flexible and have initiative to solve problems., • A rigorous and scientific approach to problem solving, • A demonstrable track record for learning and mastering complex topics, • Keen attention to detail, • Strong verbal and written communication, • Demonstrable experience working with Python and good Python knowledge, • A good understanding of statistics, • A strong understanding of algorithm optimisation, • A strong foundation of working with command-line tooling and knowledge of unix What you will gain out of it: • We will provide you with support and training in everything you need. This will include background understanding of the risk and compliance sector, our product, development, AWS infrastructure, log analysis and all other related skills. About Us Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 was even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes. Our momentum so far Customers in a diverse range of industries, with particular growth in wealth management, financial services and supply chain onboarding. Demand accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania. Why this is an exciting time to join This isn’t just another job role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact. You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. Here’s our promise to you: • We are going to work with you - to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do you your best work., • We succeed together- you will own a meaningful part of the business through our employee shares & equity programme., • Private health insurance to keep you in tip-top condition., • Life Insurance – let's hope nobody ever needs this!, • Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it., • Everyone is learning, developing and challenging themselves so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work., • Most importantly of all, we will work with you, to help you realise your fullest potential, always.

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

Research Engineer London, UK | Full-time About the opportunity We're hiring on behalf of an early-stage company building AI-powered automation tools for automating bio-analysis workflows. Their platform transforms complex, expert-led analytical processes into repeatable, AI-assisted workflows. It's a small team doing serious technical work at the intersection of AI and life sciences. About the role The Research Engineer owns the research function. You take a direction from product feedback and turn it into results, scoping, experiment design, implementation, data curation, and interpretation. You'll work closely with biologists, scientific contractors, and the broader team, and act as the technical sparring partner on what to build next. What you'll do • Turn research directions into projects: scoping, experiment design, implementation, data, and results, • Define which metrics matter for agent system performance and which proxies are actually honest, • Build the evaluation infrastructure: benchmarks, harnesses, and the tooling around them, • Develop the research agent stack: memory, in-context learning, test-time compute, and models, • Fine-tune and post-train open models to improve agent performance, • Work with biologists, contractors, and annotators to build reproducible training and evaluation data pipelines, • Track what frontier labs are shipping and bring back what's relevant Essential experience • Experience building ML/AI systems in a research-adjacent context, industry, lab, or PhD, • Experience building LLM-powered systems: prompts, context engineering, agent architectures, • Experience with evaluations and benchmarks, including tasks where "correct" is ambiguous, • Familiarity with model training, including the data, optimisation, and evaluation work around it, • Strong engineering fundamentals, fluent in Python and comfortable across the AI/ML stack, • Rigorous approach to experiments: you think about confounds and can defend your results, • Experience with training and evaluation data pipelines, including reproducibility and observability Nice to have • Background in a life science domain, biology, chemistry, medicine, or bioinformatics, • Post-training experience on LLMs, • Peer-reviewed publications or other settings where your ideas were stress-tested, • Open source contributions to scientific or AI tooling

We are partnered with a well-funded, early-stage fintech building critical infrastructure for the digital assets industry. They are looking to make their first full-stack engineering hires to join their London team. This is a ground-floor role at a company with serious momentum - you'll be working directly with the CTO and shaping the product from day one. What You'll Be Doing: • Building and maintaining backend services that power reserve monitoring and compliance reporting - primarily in Python/FastAPI, • Designing and integrating connections to financial data providers and banking APIs, • Developing frontend dashboards in React that make complex financial data clear and actionable for clients, • Contributing to architectural decisions as one of the first engineers on the London team, • Helping establish engineering practices and standards from the ground up What We're Looking For: • Strong Python experience, ideally in data-intensive or financial applications, • Solid full stack capability - comfortable across backend services and React frontends, • High agency: you take ownership, move fast, and work well without hand-holding, • Comfortable in an early-stage environment where requirements evolve, • Excellent communication skills ADVERT DISCLAIMER Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs

The Company: Join a seed stage(~£3M), VC-backed startup on a mission to build vertical and agentic tooling for the consulting and private equity landscape. Backed by tier 1 investors and angels from BCG, McKinsey, and Open AI. This startup is dedicated to building next-generation AI tools that move away from antiquated technologies to a slick, intuitive, and modern approach to unlocking value in industries worth over $1Tn. What you'll do: As a Founding Product Engineer, you’ll help shape the foundation of groundbreaking AI products for consulting professionals. You'll collaborate with a team with previous founding credentials and spent time at the most prominent private equity firms in Europe, and most notable consulting firms such as BCG & Quantum Black. You’ll take ownership of key systems, moving beyond basic chat-bot experiences to create powerful, enterprise-ready workflows and user interfaces. Your responsibilities will include: • Designing and delivering multi-step AI-driven workflows and user experiences., • Owning end-to-end product features across the full technology stack., • Turning complex consulting challenges into scalable product solutions., • Collaborating closely with both technical and non-technical stakeholders, including client advisors and industry veterans., • Driving the product vision and making impactful product decisions in a fast-paced, high-trust environment. Key Skills: • Experience as a Product or Full-Stack Engineer with the ability to quickly turn problem statements into working prototypes., • Strong technical proficiency in TypeScript, and LLM frameworks (e.g., Pydantic, LangGraph)., • Skilled with modern cloud infrastructure (AWS, Terraform, PostgreSQL, Modal)., • Ability to create intuitive, polished user interfaces using React. Benefits: • Above-market compensation and significant founding-level equity, up to 1%., • Work alongside a talented peer group from top consulting firms and AI research backgrounds., • Opportunity to shape the product direction and culture from day one. If you are interested please apply or reach out to Adam Treacy @ twentyAI - adam.treacy@twentyai.com

Software Engineer | London | GenAI We are partnered with a GenAI platform for enterprise customer experience - one of the fastest growing AI companies in the world. Backed by very large investors and founders from top tier firms across the space. They have built a platform that resolves millions of customer inquiries across chat, email, and voice, in every language, around the clock. Spanning finance, healthcare. hospitality and consumer tech. This isn’t a company still searching for product-market fit; they’re scaling a proven platform into every major industry on earth. The culture is in-office, high-velocity, and unambiguously excellent. If you want to move fast, own your work completely, and build things that reach millions of users, this is the environment for it. The Role You’ll join the Engineering department responsible for deploying mission-critical AI agents directly to enterprise customers. This is end-to-end ownership: you’ll take agents from initial implementation through to continuous iteration in production, working directly with customer stakeholders across industries. The problems here are genuinely hard. You’ll be building agents that need to outperform human support in managing complex, high-stakes interactions at scale. That means digging deep into system failures, running evaluations on the latest frontier models, and engineering solutions that are both elegant and robust. What You’ll Do • Design and build AI agents that outperform human agents in managing complex customer interactions and driving retention, • Identify cross-customer trends to inform the evolution of the agent platform and research roadmap, • Experiment with and evaluate the latest text and voice models, then integrate them at scale with enterprise customers, • Collaborate directly with customer leaders across finance, healthcare, and hospitality to solve real user problems, • Own your work end-to-end - from architecture decisions through to production deployment and iteration What They’re Looking For • 2+ years of industry software engineering experience, • Strong proficiency in Python and TypeScript, including asynchronous programming, • High comfort level debugging complex system failures across deep technology stacks, • A mindset of full ownership - you treat production issues as your own and don’t wait to be asked Nice to Have • Prior experience working with multi-modal models Compensation & Benefits • Competitive base salary + equity, • Medical, dental, and vision coverage, • Flexible ‘take what you need’ vacation policy, • Daily lunches, dinners, and snacks in the office

🇬🇧 UK-Based Software Engineers — Remote Contract (AI Research Projects) 💰 $130–$170/hr | 🌍 Remote (UK-based only) | 📊 Project-based | ⚡ Flexible hours We’re hiring experienced UK-based Software Engineers to support frontier AI research projects with a leading AI lab. This is a high-skill, project-based contracting opportunity focused on contributing engineering expertise to improve next-generation AI systems through high-quality training data and technical evaluation work. What you’ll do • Contribute to AI training data and evaluation tasks, • Collaborate with senior engineers on research-driven projects, • Apply strong software engineering judgement to complex technical problems, • Help improve the performance of frontier AI models Why this role • Fully remote within the UK, • Flexible, project-based engagements (not traditional employment), • Competitive hourly rate ($130–$170/hr), • Opportunity for continued project work based on performance, • Weekly payments via Stripe or Wise What we’re looking for • 5+ years software engineering experience, • Background at top-tier tech or product companies preferred, • Strong systems thinking and engineering fundamentals, • Currently based in the UK, • Comfortable working independently in fast-paced, technical environments Process • CV + experience review, • Short technical assessment

Head of Data Science (Commercial Insights) Location: London (one day a week onsite) Salary: up to £95,000 I’m working with an exciting AI-driven energy tech scale-up that’s using advanced analytics, machine learning and real-world electrical data to help commercial buildings dramatically reduce energy waste and improve operational performance. They’re now looking for a Head of Data Science & Commercial Insights to join their leadership team and take ownership of how data science translates into real product value, customer impact and commercial outcomes. This is a high-impact role sitting at the intersection of data science, product and commercial strategy - ideal for someone who wants to move beyond pure model-building and shape how analytics directly drives growth, sales and customer success. 🌍 The Mission The business is tackling one of the biggest inefficiencies in the built environment: wasted energy in heating, cooling and asset operation. Their platform turns high-frequency IoT and electrical data into actionable insight — helping customers identify inefficiencies, reduce consumption, and move toward predictive maintenance and ESG goals. They’ve recently secured further funding and are now scaling their data science capability into a core commercial function. 🚀 The Role This is not a research-only leadership position. They need someone who can own the bridge between data science and commercial value, ensuring everything they build is useful, usable and used. You will: • Translate data science outputs into customer-facing insight, product features and commercial evidence, • Shape the roadmap around real customer problems and business priorities, • Work closely with CTO, COO, Product, Engineering and Commercial teams, • Turn complex energy, HVAC and asset data into clear, trusted insight that drives decisions, • Lead delivery from prototype → production → scalable product capability, • Ensure models are robust, deployed, monitored and maintainable, • Lead and mentor a growing data science team (initially including 1 direct report), • Support customer pilots, demos, investor updates and proof-of-value work, • Help define what “good” looks like for analytics, dashboards and insight outputs 🧠 Technical & Delivery Focus You’ll still be hands-on and expected to lead by example technically, including: • Applied ML on time-series / IoT / sensor / energy / building data, • Python (NumPy, pandas, scikit-learn, etc.), • Productionisation of models into scalable workflows, • MLOps practices (e.g. MLflow, Airflow / Prefect, Docker), • Building reproducible, well-tested data science pipelines, • Working with noisy, real-world operational datasets, • Strong model evaluation, monitoring and deployment practices 📈 What Success Looks Like • Data science outputs consistently becoming live product features, • Clear commercial impact from analytics (sales, renewals, customer value), • Reduced “ad hoc analysis” in favour of repeatable, scalable pipelines, • Strong customer-facing insight used in demos, pilots and reporting, • A high-performing DS function that is both technically credible and commercially sharp 👤 What They’re Looking For • Strong applied ML background (ideally time-series / IoT / energy / industrial data), • Proven ability to turn data science into product or commercial value, • Excellent Python skills and production-level engineering discipline, • Experience building and deploying ML pipelines in real environments, • Comfortable working with messy, high-volume real-world data, • Strong communicator - able to translate complex outputs clearly, • Experience in small, fast-moving teams or scale-ups, • Leadership experience (or clear readiness to step into it) 📍 The Package • £85,000 – £95,000 depending on experience, • Hybrid (London SE1) – minimum 1 day per week in office, • 28 days holiday + bank holidays, • Pension scheme, • Flexible working, • Training & development budget, • Equipment provided, • Opportunity to shape a core function in a scaling business 💬 Why This Role? This is a chance to step into a role where data science is not a support function — it is the product. You’ll be shaping how a growing AI platform turns raw operational data into measurable energy savings, stronger customer outcomes and real-world climate impact. For more information, please contact Hannah from Oakmont Consulting

The moment Consulting is being agentified. The $300B insights industry is about to be rebuilt by AI agents that don't just report what happened — they tell brands what to do next and execute it. Most firms are still figuring out how to use ChatGPT for email. We've already built the agents. Hotspex has spent 25 years measuring what the world's biggest brands make people feel — over 1M interviews, 800+ brands, 33 countries, validated at P&G, Coca-Cola, Unilever, RBC, TELUS. Now we're weaponizing that dataset with AI. Every methodology we've built is becoming an autonomous agent. Every deliverable is becoming a living product. Every client interaction is becoming an intelligent system. This is the Agentification of Consulting — and we're riding the front of the wave. We need a Full Stack Engineer in Toronto who wants to build what comes next. What you'll build You won't be maintaining someone else's codebase. You'll ship enterprise-grade AI products to Fortune 100 CMOs — and you'll see your work in boardrooms within weeks, not quarters. → Agent-powered brand intelligence platforms — autonomous systems that ingest research data, generate strategic recommendations, and deliver them directly to the world's largest advertisers → Top of Model™ — our proprietary platform measuring how brands rank inside ChatGPT, Claude, Gemini, and Perplexity. We're defining an entirely new category of brand measurement for the AI era → BrandSpace — a self-serve SaaS platform putting 25 years of enterprise-grade emotional brand science into the hands of every marketer → MCP server integrations and agentic tool chains — exposing our Human Motivation Framework as API-accessible AI tools that plug into Claude, Adobe, and enterprise martech stacks → Client-facing interactive products — brand simulators, revenue growth models, and AI-powered proposal systems that win seven-figure engagements Who you are You're a builder, not a ticket-taker. You can go from a rough CEO brief on Monday to a shipped product by Friday. Specifically: • Full-stack fluency — React, Node, Python, modern deployment (Vercel/Netlify, Supabase, serverless). You own the whole surface from UI to infrastructure, • AI-native — you've built with Anthropic and OpenAI APIs, you understand tool use, embeddings, MCP, and agentic workflows. You don't just prompt — you architect systems around LLMs, • Claude Code proficiency is essential — we build with it daily and we'll want to see examples of what you've shipped with it, • Genuinely interested in marketing and brand strategy — you want to understand why a campaign moves a brand, not just render the dashboard. The best code at Hotspex is written by people who understand the business problem, • Product-minded — you think in user outcomes, not tickets. You push back on bad specs and propose better solutions, • High ownership, low ego — direct access to the CEO, the IP, and the clients means you'll have outsized impact and outsized accountability Why this role is rare 💰 Stock options — you'll have equity upside in a company that's been profitable for 25 years and is now scaling its AI product suite into a category-defining SaaS business 🏢 Toronto-based, on-site — we believe the best products get built by people in the same room solving hard problems together. Being in Toronto is key — this is a hands-on, high-trust, high-speed environment 🚀 Fortune 100 clients from day one — your code ships to RBC, global CPG, major broadcasters, and government. Not a pre-revenue pitch deck 🤖 AI isn't a feature — it's the entire product thesis — every tool, methodology, and deliverable at Hotspex is being agentified. You'll be at the centre of that transformation 📐 25 years of proprietary IP — you're not starting from zero. You're building on top of the Human Motivation Framework — 177 personality attributes, 96 emotions, 8 motivational zones — a dataset most AI startups would kill for 🎯 No four-layer product org — you'll work directly with the CEO, strategists, and clients. Your decisions ship Qualifications • Proficient in front-end development: HTML, CSS, and modern JavaScript frameworks (React preferred), • Skilled in back-end development: server-side languages, database management, API design, • Proven full-stack delivery — end-to-end ownership from architecture to deployment, • Strong experience with Claude Code — show us what you've built with it, • Familiarity with cloud platforms, DevOps tooling, and CI/CD pipelines, • Experience with agile workflows and Git-based version control, • Excellent problem-solving instincts with a bias toward performance and scalability, • Strong communication skills — you'll present to clients, not just commit to repos, • Bachelor's degree in Computer Science, Software Engineering, or related field preferred — but shipped work matters more than credentials How to apply Send a short note and your best work to shane.skillen@hotspex.com — GitHub repos, shipped products, side projects, agent builds. If you've built something AI-powered that actually works in production, lead with that. We're 25 years old and moving faster than any startup. Come build the next chapter. • hotspex.com

Semantic AI & Knowledge Graphs About Depixen Depixen is a London-based technology company building the digital decision infrastructure of the construction industry. As a corporate member of the World Wide Web Consortium — W3C, Depixen develops Linked Data architectures, domain-specific taxonomies, ontologies, RDF-based data structures, and knowledge graph infrastructures for construction, architecture, and building products. We work with fragmented and highly contextual industry data: product catalogues, technical documents, standards, materials, suppliers, projects, events, images, and user interactions. About the Role We are looking for a Senior Data Scientist to help build intelligent data systems for classification, enrichment, entity resolution, semantic search, recommendation, and knowledge graph-connected AI applications. This is not a conventional data science role. You will work at the intersection of machine learning, semantic data modelling, information retrieval, knowledge graphs, and real-world construction product data. Your work will help turn fragmented industry data into reliable, contextual, and explainable decision intelligence. Responsibilities • Develop machine learning and data science systems for classification, extraction, enrichment, matching, recommendation, and semantic search., • Work with structured, semi-structured, unstructured, and graph-connected data., • Build entity extraction, entity resolution, deduplication, and similarity-matching workflows., • Connect AI outputs with taxonomy, ontology, RDF, and knowledge graph layers., • Design evaluation, benchmarking, validation, and error-analysis processes., • Improve data quality, consistency, explainability, provenance, and semantic alignment., • Collaborate with engineering, product, and domain teams to turn business requirements into scalable technical systems., • Support the development of production-grade semantic AI and decision-support systems. Required Qualifications • Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, Mathematics, Statistics, or a related field., • 4+ years of hands-on experience in data science, machine learning, information retrieval, NLP, knowledge graphs, or related AI/data fields., • Strong Python skills., • Experience developing, testing, deploying, and monitoring data science or machine learning models., • Experience with structured, semi-structured, and unstructured data., • Practical experience in several of the following areas:, • classification, • entity extraction, • entity resolution, • semantic enrichment, • recommendation systems, • semantic search, • information retrieval, • NLP, • data quality automation, • Strong understanding of data modelling, metadata, data quality, model evaluation, benchmarking, and error analysis., • Ability to document technical work clearly and communicate across technical and non-technical teams., • Interest in semantic web technologies, knowledge graphs, ontologies, taxonomies, or linked data. Preferred Qualifications • Master’s or PhD in Computer Science, AI, Data Science, Machine Learning, NLP, Semantic Web, Knowledge Graphs, or a related field., • Experience with RDF, OWL, SPARQL, SHACL, SKOS, JSON-LD, schema.org, ontologies, taxonomies, or Linked Data., • Experience with graph databases or triple stores such as GraphDB, Stardog, Neo4j, Amazon Neptune, or Blazegraph., • Experience with embeddings, vector databases, RAG, LLM-based enrichment, or knowledge graph completion., • Experience with MLOps tools such as Docker, Kubernetes, MLflow, Weights & Biases, Airflow, or similar., • Experience with AWS, GCP, or Azure., • Experience in construction, architecture, BIM, building materials, technical product data, catalogues, standards, or compliance-heavy data systems., • Contributions to open-source projects, academic publications, or applied research are a plus. Problem Areas You may work on: • construction product classification and enrichment;, • entity resolution for products, suppliers, events, venues, organizations, and technical concepts;, • semantic search and recommendation systems;, • extraction of structured data from catalogues, PDFs, websites, and technical documents;, • knowledge graph-connected AI workflows;, • data quality, explainability, provenance, and validation systems. Why This Role Is Different Construction data cannot be understood through statistical patterns alone. The meaning of a product, material, document, technical value, supplier, or project depends on its relationship to standards, classifications, specifications, and domain knowledge. At Depixen, data science outputs are not isolated predictions. They are connected to verified data, semantic classification, ontology, RDF, and knowledge graph layers. This role is about building reliable, contextual, explainable, and machine-interpretable AI systems for one of the world’s most complex industries.

About the Company Electronic circuit boards are at the core of current and future inventions - space travel, medical robotics, autonomous transportation, augmented reality, bio-engineering. Yet today designing an electronic circuit board is an extremely manual, long and tedious process. At Circuit Mind we believe that this is wrong and we are on a mission to fix it, triggering the future of hardware design. To achieve its mission, Circuit Mind has created a library of electronic component digital twins. Each digital twin models the data of the component’s datasheet. These digital twins are then utilised by Circuit Mind’s platform to generate circuit designs that align with user specifications. We are creating an entirely new software engine for circuit boards, that takes as inputs the requirements of a circuit board and automatically outputs a complete design, ready for manufacture. About the Role Your mission is to drive the successful delivery of customer electronics design projects using Circuit Mind’s ACE platform; either enabling end users to execute projects independently or taking full ownership of execution yourself. Responsibilities • Assess design requirements and leverage your expertise to guide the users in generating those designs in Circuit Mind’s ACE platform., • Lead and perform AI-assisted customer projects using Circuit Mind’s ACE platform to demonstrate faster, higher quality design outcomes than the traditional manual design process., • Run training and support meetings with users to ensure they effectively achieve their objectives using Circuit Mind’s ACE platform., • Research and identify new components that meet customer project requirements to be added to the Circuit Mind platform., • Collaborate with the customer success and software team to troubleshoot issues with designs run user issues, manage and execute the resolution of these issues and communicate the resolution to customers promptly., • Collaborate with the software and product team to identify key functionalities that can be developed to improve the value of ACE., • To fulfil the above, you’ll develop an intimate understanding of the abstractions and algorithms that ACE uses to generate circuit designs. Qualifications and Required Skills • 5+ years experience in designing electronic circuit boards, • Ability to understand user needs and challenges and to effectively devise and articulate tailored solutions, • Strong communication skills, • Strong attention to detail, • Thorough understanding of low level digital electronics principles Preferred Skills • Basic software development experience, • Experience in a Software as a Service (SaaS), Design Software (ECAD, MCAD, Simulation etc.) or startup company Pay range and compensation package • Collaboration with a friendly world-class team., • Above market rate salary and meaningful equity., • 25 days of annual holidays plus bank holidays., • Flexible working hours with two days a week in the office., • 5 weeks per year to work wherever you want in the world., • London Bridge office., • Extended parental leave., • Annual Retreat., • Learning and development budget to support your professional development. Equal Opportunity Statement At Circuit Mind we value diversity and foster an inclusive environment. If you have an additional necessity or disability that requires accommodation, please let us know so we can adjust the interview process to your needs. We also ensure that Circuit Mind’s straight-forward and efficient hiring process respects your time.

Role Overview In the run-up to securing Series B funding, Xapien is hiring a Head of Engineering to build and lead a high-performing, scalable engineering organisation. Reporting to Shaun O’Mahony, Co-Founder and CTPO, you’ll own the systems, practices, and culture that enable a ~35-person (and growing) product and engineering organisation to deliver reliably, iterate quickly, and partner effectively across the business. You’ll lead the engineering organisation end-to-end: driving delivery execution, scaling the team, building operational maturity, and championing AI-augmented development practices. You will operate at multiple levels — coaching managers and ICs, owning incident response, and setting the operational direction for Xapien’s engineering organisation. The CTPO retains product and technical vision; you make it happen. This is a rare opportunity to both build the foundations of a scaling engineering org and directly influence the growth trajectory of an AI-native company. Key Responsibilities Drive Sustainable, Agile Delivery ● Establish lightweight, agile practices that support fast iterations, predictable delivery, and continuous improvement. ● Build delivery management processes (planning, estimation, forecasting) that give product and commercial teams confidence in timelines. ● Own QA and testing practices to ensure quality keeps pace with rapid delivery cycles — including release gating through alpha/beta environments, feature flags, and automated regression testing. ● Implement engineering metrics and dashboards (e.g., DORA metrics) that provide visibility into delivery velocity, deployment frequency, change failure rates, and team health — reinforcing Xapien's identity as a data-driven organisation. Scale the Engineering Organisation ● Grow the team thoughtfully, hiring for both technical excellence and collaborative mindset. ● Define structures and roles (including QA and delivery management functions) that enable effective cross-functional collaboration. ● Create career pathways and coaching frameworks that develop strong engineers and future leaders. ● Foster a culture of shared ownership of product outcomes, not just technical deliverables. ● Develop a workforce strategy that accounts for AI-augmented development — understanding where agentic tooling can amplify output and where human judgement is essential, to build a right-sized, cost-effective engineering organisation. Operational & Technical Leadership ● Drive and govern platform scalability, reliability, and maintainability — working with strong technical leads who own architectural decisions within a domain-driven design structure. ● Establish engineering-wide standards for code quality, review processes, and technical governance. ● Build observability, incident management, and on-call practices that scale with team growth and deployment frequency. ● Embed DevOps, MLOps, security, and compliance practices into day-to-day workflows. ● Balance technical debt with feature delivery needs, making trade-offs transparent to the business. Cross-Functional Partnership ● Collaborate with product leadership to translate business priorities into technical roadmaps and realistic delivery commitments. ● Partner with commercial teams to align engineering focus with commercial drivers and business objectives. ● Partner with compliance, security, and data protection stakeholders to ensure engineering practices meet regulatory requirements — particularly important given Xapien's role in handling sensitive due diligence data. ● Facilitate clear communication between technical and non-technical stakeholders, contributing to company-wide planning. What We're Looking For ● Delivery Leadership: 5+ years leading multiple cross-functional engineering teams through significant growth, including experience managing managers and scaling delivery, QA, and testing functions. ● Agile Collaboration: Proven experience embedding agile practices, fast iterations, and effective QA/testing processes. ● Scaling Experience: Built or scaled engineering orgs during high-growth early stage phases (Series A/B). ● Technical Credibility: Strong background in cloud-native architectures, distributed systems, and modern delivery practices (CI/CD, automated testing, observability). Experience with cloud cost management and infrastructure optimisation. ● Operational Maturity: Experience building observability, on-call rotations, and incident management practices as engineering organisations scale — reducing MTTR and increasing deployment confidence. ● Range & Flexibility: Comfortable operating at multiple levels — from directly managing ICs and leading incident response, to defining long-term operational strategy and scaling the organisation. You make things happen. ● Leadership Qualities: Systems thinker, excellent communicator, strong people developer, and commercially minded. ● Manager of Managers: Proven ability to build, coach, and empower engineering managers to lead their own teams effectively. ● Architectural Judgement: Ability to evaluate and challenge technical decisions without needing to own every design — ensuring the right level of rigour as systems scale. ● Bonus: Familiarity with AI/ML technologies and their operational requirements, including experience with AI-augmented development workflows. Success in This Role Looks Like Within 12 months: ● Agile delivery practices in place, with predictable velocity and clear quality standards. ● QA, testing, and delivery management embedded as integral parts of the engineering function. ● Effective collaboration processes established with product and commercial teams. ● Scalable management structures and career pathways defined. ● Engineering career framework published and actively used for development conversations. ● Incident management and observability practices established — clear SLAs, fast detection and resolution. Within 24 months: ● A self-sustaining, high-performing engineering organisation that delivers at speed and scale. ● Product and commercial teams have high confidence in engineering reliability and quality. ● The platform supports growth with minimal operational overhead and measurably improving incident response times. ● Strong engineering culture — with clear career progression, coaching, and an environment that attracts and retains top talent. Why This Role Matters At Xapien, engineering isn't just about building features, it's about creating the technical foundation that enables the entire business to scale. As Head of Engineering, you'll be instrumental in ensuring that our technical capabilities grow in step with our business ambitions, while building a team and culture that can sustain high performance over the long term. This is an opportunity to shape the organisational architecture and operational backbone of a rapidly growing AI company, working alongside a technical co-founder who retains the product and technical vision — and needs a partner who can turn that vision into reliable, scalable execution. About Us Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 was even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes. Our momentum so far Customers in a diverse range of industries, with particular growth in wealth management, financial services and supply chain onboarding. Demand accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania. Why this is an exciting time to join This isn’t just another job role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact. You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. Here’s our promise to you: • We are going to work with you - to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do you your best work., • We succeed together- you will own a meaningful part of the business through our employee shares & equity programme., • Private health insurance to keep you in tip-top condition., • Life Insurance – let's hope nobody ever needs this!, • Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it., • Everyone is learning, developing and challenging themselves so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work., • Most importantly of all, we will work with you, to help you realise your fullest potential, always.

You will: • Work with a close team of passionate GPU architects with a relentless focus on efficiency, • Understand industry trends and their impact on the GPU, • Communicate with other stakeholders to gather new ideas and requirements for our GPUs, • Be responsible for the investigation, specification and delivery of detailed, architectural feature specifications, • Perform deep analysis in order to produce solutions that meet the required power, performance, area and bandwidth requirements., • Work with the research group to map novel algorithms to efficient implementations, • Work with the modelling team to explore and evaluate new ideas and produce performance targets, • Work with the product team to define a forward-looking technology roadmap that progresses in PPA and features every generation, • Assist the implementation team through design and verification, • Work with the performance team to review data and validate the power, performance, area and bandwidth of the completed implementations, • Participate in engineering reviews and recommend improvements, • Have the opportunity to influence and advance our long-term technology roadmap, • Liaise with key customers and industry standards bodies (such as Khronos) where required About you Committed to making your customers, stakeholders and colleagues successful, you’re an excellent communicator, listener and collaborator who builds trusted partnerships by delivering what you say, when you say. You’re curious, solutions orientated and a world-class problem solver who constantly seeks opportunities to innovate and achieve the best possible outcome to the highest imaginable standard. You'll have: • Experience with GPU architecture or similarly large, complex systems, • A good understanding of modern 3D graphics and/or compute APIs, such as Vulkan, D3D12 and OpenCL, • An understanding of digital ASIC design methodologies and constraints, • The ability to plan, estimate and track your own work, • Experience in independently driving architecture exploration activities that conclude with tangible and appropriate feature specifications, • An understanding of the design and verification challenges in order to make effective trade-offs to maximise engineering ROI, • The skill to clearly communicate technical issues and justify decisions to various audiences

We turn a week of analyst work into seven minutes. Getting there took a while. Getting to "trust it with a £10bn decision" is the interesting part — and where you come in. The work You'll own parts of the Xapien pipeline end-to-end — LLM research agents, entity resolution, report generation. Prototype, evaluate, ship, measure, improve. • Build a system optimised for accuracy, speed and cost, • Design evals that measure what matters, driving meaningful improvements, • Dig into the failures and fix them at the root, • Shape and ship what's next - high ownership We use Claude Code by default and rarely write code ourselves. The craft is in careful prompting, tight loops, sharp evals, and spotting when the agent's quietly wrong. You: • Fluent in Claude Code, Codex, or similar agentic tooling., • Strong numerical reasoning. Top-uni CS / maths / engineering / science, or equivalent in what you've built., • Shipped production LLM systems — RAG, prompting, agents. The kind customers pay for., • You've worked somewhere fast — startup or strong tech team — and make good calls on imperfect information., • You know software engineering: you’ve launched systems, responded to incidents, designed for failure, • High-agency. You scope problems, own solutions, and help decide what we build next., • Focused on real answers for real customers. Theory's a tool, not the point., • Good to work with. Small team — it matters. About Us Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 was even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes. Our momentum so far Customers in a diverse range of industries, with particular growth in wealth management, financial services and supply chain onboarding. Demand accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania. Why this is an exciting time to join This isn’t just another job role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact. You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. Here’s our promise to you: • We are going to work with you - to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do you your best work., • We succeed together- you will own a meaningful part of the business through our employee shares & equity programme., • Private health insurance to keep you in tip-top condition., • Life Insurance – let's hope nobody ever needs this!, • Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it., • Everyone is learning, developing and challenging themselves so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work., • Most importantly of all, we will work with you, to help you realise your fullest potential, always.

Role Outline Engineered Arts is looking for a Senior QA Engineer to join the software team. You’ll be challenged with developing and supporting our deployment and testing processes for all the robots. The focus will be on improving and maintaining the high quality of our uniquely amazing humanoid robots through designing and implementing tests, debugging, and QA metrics. Hardware is at the centre of everything we do and this role will involve the support of hardware monitoring and issue detection as we design, manufacture, commission, and test every robot we sell. This role can be based from either or London office or Falmouth HQ (4 days per week in office) Main Responsibilities Manual & Automated Test Coverage • Drive the development and maintenance of both automated and manual test coverage, improving the efficiency and reliability of testing processes across UI, cloud services, robot software, and AI-driven features. AI-Accelerated Automation • Actively leverage AI coding assistants and tools to rapidly build, maintain, and scale automated test suites. Testing Approaches • Define and implement testing approaches for releases, including regression, compatibility, and performance validation. Defect Triage & Collaboration • Work closely with Product Managers and cross-functional teams (software, hardware, and commissioning) to triage defects, identify integration issues, prioritise fixes, and support release decisions. Quality Strategy & Metrics • Contribute to and help shape the overall quality strategy, maintaining visibility of product quality through test reporting and metrics to support data-informed decision-making. Customer Support Validation • Support the validation and investigation of customer-reported issues, helping identify root causes and potential workarounds. Mentorship & Standards • Apply and promote testing standards and best practices, supporting the onboarding and development of other engineers by sharing knowledge and coaching on tools and processes Qualifications, Knowledge, Key Skills and Experience Essential • 4+ years of experience in testing and quality., • Strong proficiency in using AI tools to accelerate test creation, automation, and data analysis., • Extensive experience writing useful and efficient automated tests, specifically using frameworks like Playwright and pytest., • Experience in a robotics or hardware-centric setting., • Working with Python and Ubuntu or other Linux-based operating systems., • Experience working with git, GitLab and CI/CD pipelines to maintain code quality and effective release management., • Experience testing and evaluating LLMs, including interest in conversational experiences driven by robots., • Diligent and organised working style, with clear communication of issues found. Desirable • Experience in testing web UIs., • Experience in testing agentic AI solutions, • Experience building or maintaining QA telemetry dashboards., • Strong understanding of test automation tools and methodologies. Useful • Understanding of low-level / embedded systems., • Experience with continuous deployment in cloud systems (particularly Terraform)., • Experience with testing distributed systems relying on third-party services., • Agile methodologies About Engineered Arts Engineered Arts is the leading manufacturer of full-size humanoid robots used for entertainment, education and communication. With 20 years of hardware and software development, our robots have been sold in over 30 countries worldwide with customers such as NASA, PwC, Meta and many more. Our Ameca robot is well known as ‘the face of AI’ and a social media viral success, taking advantage of the generative AI craze. Along with our ultra-realistic Mesmer range of animated figures our robots continue to surprise and excite visitors at museums, theme parks, visitor attractions and trade shows as well as aid leading universities with AI and robotics research. Our robots are poised to break into the future mega-expansion service robot segment, with applications such as front of house, receptions, check-in desks, information points and PoS. We are a team of dedicated engineers and creatives striving to develop the very best experiences for our customers. Our internal motto is ‘Be Wow’, everything we do is fun, entertaining or surprising to encounter. We always push the boundaries of what is possible in humanoid robotics, researching and developing new systems and techniques to further their appeal. We explore and challenge the human perception of robots as well as the fear and discomfort and the excitement and joy life-like mechanical humanoids present. At Engineered Arts, innovation is at the core of everything we do — and we believe true innovation only happens when diverse minds come together. We are committed to building a workplace where people of all backgrounds, identities, and perspectives feel welcome, supported, and empowered to contribute. Whether you’re an engineer, developer, or creative thinker, we value what makes you unique. We actively promote inclusion across our hiring, design, and development practices, and we’re always looking for new ways to reflect the world around us — in our team, our robots, and our ideas. Because building the future means including everyone in it.” We are committed to equal opportunity in employment and comply with all applicable non-discrimination and equal employment laws in the regions where we operate.

About the Role This role is based at Depixen’s London Office. Depixen is a London-based technology company building the digital decision infrastructure of the construction industry. As a corporate member of the World Wide Web Consortium — W3C, Depixen develops W3C-compliant Linked Data architectures, domain-specific ontologies, taxonomy models, RDF-based data structures, and knowledge graph infrastructures for the construction sector. Through its AI projects with respected universities and institutions in the United Kingdom, Depixen continues to build a scalable global structure across the United States, Europe, and the Far East. Computer vision is one of the critical perception layers of this infrastructure. In construction, architecture, and building products, visual data is not merely unstructured; it is deeply contextual. Product images, technical documents, drawings, site photos, spatial data, material surfaces, and building elements must be interpreted together with verified technical knowledge, semantic classifications, and machine-interpretable data models. This is not a conventional image recognition role. You will help connect visual AI outputs with verified data, taxonomy, ontology, RDF, and knowledge graph layers, turning perception into reliable decision intelligence for the construction industry. We are seeking a talented Computer Vision Engineer to design, develop, and productionize advanced perception systems for real-world construction industry use cases. In this role, you will work on object detection, segmentation, OCR, visual matching, product recognition, building element analysis, site image interpretation, video analytics, and multimodal vision-language applications. The ideal candidate is analytical, research-driven, collaborative, and capable of turning advanced computer vision ideas into reliable production systems that address real industry problems. Responsibilities • Design, develop, and evaluate robust, scalable, and verifiable computer vision models and pipelines using modern deep learning frameworks., • Build and optimize end-to-end vision systems covering data preprocessing, model development, deployment, monitoring, and continuous improvement., • Develop systems for object detection, segmentation, tracking, OCR, image classification, visual matching, product recognition, and video analytics as required., • Collaborate with data and modelling teams to connect visual AI outputs with taxonomy, ontology, RDF, and knowledge graph layers., • Work with cross-functional teams to understand product requirements and translate them into scalable technical solutions., • Develop automated testing, benchmarking, and evaluation workflows to ensure the performance, reliability, and safety of computer vision applications., • Optimize models and inference pipelines for scalability, latency, and cost-efficiency across GPU and CPU environments., • Contribute to dataset design, annotation processes, data quality validation, and tools that improve model performance and reliability., • Translate research-level computer vision and multimodal AI approaches into production-ready technical solutions. Required Qualifications • Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, Artificial Intelligence Engineering, or a related field., • 3-6 years of experience in computer vision, deep learning, or a related AI field., • Strong proficiency in Python., • Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or similar., • Practical experience developing, testing, and deploying computer vision models in production environments., • Solid technical understanding of convolutional and transformer-based architectures, such as CNNs, ViT, YOLO, and Detectron2., • Hands-on experience in several of the following areas: object detection, segmentation, OCR, tracking, image classification, or video analytics., • Experience with ML Ops practices and tools such as Docker, Kubernetes, MLflow, and Weights & Biases., • Systematic approach to model evaluation, benchmarking, data quality control, and error analysis., • Familiarity with GPU/CPU inference optimization, latency management, and model deployment workflows., • Ability to analyse technical problems clearly, document solutions effectively, and communicate across teams. Preferred Qualifications • Master’s or PhD degree in a relevant field., • Experience implementing or fine-tuning vision-language models such as CLIP, BLIP, or SAM., • Experience with multimodal AI, visual grounding, open-vocabulary detection, or image-text retrieval., • Familiarity with edge deployment frameworks such as TensorRT, OpenVINO, or ONNX Runtime., • Experience with 3D vision, point clouds, depth estimation, SLAM, spatial intelligence, or digital twin-based visual analysis., • Experience working with construction, architecture, construction technologies, BIM, technical document analysis, or product data systems., • Experience with OCR, technical document processing, drawing analysis, catalogue data extraction, or visual product matching., • Contributions to open-source computer vision projects., • Experience deploying models on cloud platforms such as AWS, GCP, or Azure., • Experience with data annotation, synthetic data, active learning, or dataset quality management. Problem Areas You May Work On In this role, you may work on problem areas including: • Visual recognition and classification of building products., • Matching product images with technical data, catalogue information, and semantic classifications., • OCR-based data extraction from technical documents, catalogues, and PDFs., • Joint analysis of architectural drawings, site photos, and product images., • Detection of building elements and material surfaces., • Linking visual data with taxonomy, ontology, and knowledge graph structures., • Applying vision-language models in the construction industry context., • Quality, compliance, or contextual analysis from site imagery., • Connecting visual AI outputs to verified, structured, and machine-interpretable data infrastructure. Why This Role Different The construction industry is one of the most complex application areas for computer vision because it brings together architecture, engineering, construction, building materials, and site operations. In this domain, the meaning of an image cannot be derived from pixels alone. The product class, technical standard, usage context, relationship to building elements, material characteristics, performance values, and verifiable data counterpart must be considered together. • At Depixen, computer vision outputs are not treated as isolated predictions. They are treated as decision components connected to verified data, semantic classification, ontology, RDF, and knowledge graph layers. This makes the role not only about model development, but about building reliable, contextual, and verifiable AI systems for the construction industry.

Carvela, deeply rooted in Italian heritage, leads the way in premium accessories with shoes and bags designed in the heart of Milan by women, for women. Each product reflects our commitment to exceptional design and comfort, with every collection thoughtfully designed. Our brand is shaped by timeless style and a design philosophy that empowers women of all ages to feel their best. Made with high-quality materials and shaped by Italian-inspired silhouettes, our collections are created to work as hard as the women who wear them. We are looking for an experienced Footwear Technologist, ideally with a background in manufacturing and sourcing of premium women’s footwear and leather goods. A thorough knowledge of footwear development and manufacturing. Has a good awareness of market trends to ensure that the footwear is functional, comfortable, and aesthetically pleasing. Main Duties • Support the Sourcing Team by maintaining data regarding supplier quality issues and ensuring that records are maintained and updated, • Facilitating raw material and sample testing and communicating the results to internal stakeholders, • Help to collate the data on leather sourcing and volumes to provide the Leather Working Group, • Becoming familiar with compliance and regulations to ensure that the necessary processes and documentation is followed and in order and records are kept, • Accessing the internal order tracking system to advise on Head of Sourcing on shipment schedules, so the resources in Asia can be applied to the right factories, • Follow up with the distribution centres in the UK, Europe and the US to ensure that any sample to illustrate issues are being sent to HQ and the suppliers, • Support cost negotiations & work closely with brand partners to ensure prices and margins are achieved, • Work proactively with the UK team and Asia Supply Chain team to take appropriate action on production schedules and material approvals, • Send samples off for testing and following up on quality related issues, • Build cross-functional team relationships to confidently communicate information regarding supply chain related issues, • Assist and support the team with day-to-day duties Requirements • Carry out regular store visits to report on quality standards, • Product data input on the required systems, • Complete seasonal product reports for senior leadership meetings, • Support other departments when cover is needed, • Where necessary go on trips with the Buyer and/or Designer to suppliers around the world, • Liaise with DC QC team to ensure that products are inspected appropriately, • Investigate quality issues, find solutions and report findings to the QA Technical manager, • Ensure emerging issues are resolved quickly and effectively, • Ensuring traceability of confirmation samples into the warehouse is maintained, and that you have an oversight of the DC inspection process, • Ensure all damaged goods, manufacturing faults, transit damages are processed in an appropriate manner and that all costs are recharged to responsible parties through correct process, • Ensure international compliance documentation is accessible in the central system to prevent shipping delays Skills • Technically trained in footwear fitting and grading, • Previous experience in footwear production or sourcing, • Can work to tight deadlines, • A strong and effective communicator, • Has experience in women’s premium fashion footwear, • Inquisitive and confident - enjoys researching and summarising information on ad-hoc projects, • Project management skills - the ability to manage multiple areas of work and ensure deadlines are met and work is delivered to a high standard, • Attention to detail and accuracy essential- the ability to research, understand and relay information on legislation and advise actions as required to the relevant stakeholders, • Has a good understanding of leather, • Has Microsoft Word, Excel and PowerPoint Skills Benefits • Competitive basic salary, • Pension and life assurance, • Enviable discounts, • Gym Discounts, • Summer Hours - 3pm Friday finish, • Half Day, Pay Day Friday (once per month), • RetailTrust support, • And so much more! Our Culture We’re an energic fast-paced brand that embraces progress and strives for innovation. Hard work is rewarded with new opportunities at every level and kindness is celebrated in everything we do. Our summer working hours accommodate a healthy work life balance. Wellbeing is important to our working culture, which is why we nurture a friendly environment for talent to thrive in, alongside a vibrant social community. Our Stores The first Kurt Geiger store opened on London Bond street in 1963. Today, our brand has global appeal and is distributed in hundreds of cities around the world. We operate over 70 stand-alone stores nationwide, including our new flagship store on London Oxford street, and in over 400 stores globally. Beyond stand-alone stores and retail pop ups, our retail partners include some of the world’s most famous department stores. We Are One: For Love | For Diversity | For Change | For Equality | For Kindness | For Freedom | Against Racism

Staff Product Engineer - £150,000 + Equity Location: Shoreditch, London About the Opportunity A high-growth AI-first law firm is looking to transform the UK conveyancing market, starting with the legal process behind every property transaction. Currently, conveyancing is slow, opaque and unreliable, with one in three transactions falling through and complaints significantly higher than in other legal sectors. Many firms still rely on outdated manual processes. This business aims to disrupt a £2.5 billion market by combining deep domain expertise with cutting-edge AI technology, with ambitions to expand into a full-service, AI-powered law firm with global reach. The Role The firm is seeking a Staff Product Engineer to join as an early member of a small, high-calibre engineering team. This is a product-first role: from day one, the engineer will help shape product direction, speak directly with users, define ambiguous requirements and ship features to production quickly. The team values engineers who take ownership of outcomes and think beyond tickets. Candidate Profile • Experience in early-stage startups, influencing product strategy, • User-problem focused, not purely technical solution-oriented, • Experience scaling TypeScript codebases, • Comfortable building AI agents or LLM-powered systems beyond simple prompting, • High attention to detail and pride in engineering craft, • Comfortable operating in ambiguity and moving quickly Bonus points for: • Academic or applied experience in machine learning, • Experience bridging research and production systems What’s on Offer • £150,000 depending on experience, • Meaningful early-stage equity, • 5% employer pension contribution, • Comprehensive private medical cover including dental and optical, • 25 days holiday plus bank holidays, • Choice of AI tooling

About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for an Applied Scientist II to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data., • Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

Lead DevOps / Platform Engineer London | Hybrid | £110k-150k + Equity A fast-growing AI healthtech startup, founded by ex-Palantir engineers, is hiring a senior hands-on infrastructure leader to own platform engineering, deployments and operational reliability as the company scales. This is not a narrow support-style DevOps role. You’ll take ownership across: • Kubernetes & container orchestration, • AWS cloud infrastructure, • Terraform / Terragrunt IaC, • CI/CD & release automation, • Customer deployment environments, • Observability, telemetry & monitoring, • Security, reliability & infrastructure standards The product sits within AI / drug discovery research, with enterprise customers already live and strong growth underway. Looking for someone who has genuinely owned production infrastructure - not just operated within a narrow function. Strong fit for backgrounds in: Platform Engineering SRE Infrastructure Engineering Cloud / DevOps Leadership Particularly from high-performing startup, scaleup, fintech, infra or developer tooling environments.

Position: GenAI Validation Engineer Location: London Reports to: Chief Technology Officer Salary: Competitive IKOS is the leading European consulting firm specialising in railway engineering. We are committed to participating in the ecological transition and to developing the means of transportation of the future that are safe and durable. We are looking for a highly capable and curious professional to join a fast-moving, strategic programme focused on Generative AI. This role will be responsible for the developing and delivering of GenAI validation systems. The successful candidate will be part of an international team lead from London - by our GenAI Global lead and IKOS UK CTO - and with other members in Paris and Madrid. The ideal candidate is up to date with the latest developments in GenAI, understands both its potential and limitations, and is comfortable working in an environment that values rapid iteration, cross-functional application and value-driven outputs. The Role: Design, development, testing, deployment, improvement and support of Gen AI Validation system. Required Skills & Competencies: • Strong understanding of GenAI failure modes, evaluation problems and review/assurance challenges., • Ability to translate research and literature into concrete product requirements, UX concepts and development priorities., • Comfort working across research, product definition, experimentation and implementation., • Good judgement on how to make review workflows more robust, more transparent and more efficient for engineers., • Capability to work in a rapid iteration environment and refine the product from testing and operational feedback. Desirable: • Exposure to psychology, human factors, safety/quality review, assurance, evaluation science or similar adjacent disciplines., • Hands-on experience using GenAI to support knowledge work or deliverables in a professional setting., • Experience designing or improving review workflows, QA workflows, evaluator interfaces or human-in-the-loop systems. Personal attributes: • You will have strong problem-solving ability, with intellectual curiosity, sound judgement and the ability to think from first principles., • A fast-learning mindset, with the ability to work effectively in a rapidly evolving GenAI environment., • Up-to-date awareness of GenAI capabilities, limitations and risks, including frontier model behaviour, failure modes, tooling trends, deployment patterns and governance considerations., • A mature approach to security, confidentiality and information handling, with an understanding of need-to-know access, least privilege, compartmentalisation and controlled onboarding/offboarding., • Strong systems thinking, with the ability to understand how different technologies, disciplines and operational factors connect., • Comfort operating in fail-fast, rapid-iteration environments where priorities and assumptions may change quickly., • Clear and confident communication skills, with the ability to work effectively across engineering, product, IT, quality and programme leadership teams in multiple countries., • An evidence-based mindset, using literature, benchmarks, testing and operational feedback to improve systems and ways of working over time. Interested? If you’re ready to be part of a dynamic team at the core of innovation we’d love to hear from you. Please send a copy of your CV to Katy Grace, Recruitment Manager – kgrace@ikosconsulting.co.uk

Hybrid – London | Global FinTech Innovator Our client is an established yet fast-growing FinTech specialising in high-performance market data analytics. Their platform ingests and processes terabytes of global trading data daily, powering decision-making for leading investment firms, exchanges, and research institutions. They’re now seeking a Market Data Engineering Lead to take ownership of their equities data pipelines and infrastructure, helping scale the next generation of data-processing systems within a collaborative engineering leadership team. This role offers a 50/50 split between hands-on coding and technical leadership — ideal for someone who thrives on solving deep engineering challenges while guiding a small team to deliver best-in-class data solutions. The Role • Lead development for the firm’s equities data processing platform, working alongside other engineering leads and a senior architect., • Plan and execute two-week Agile sprints, define priorities, and manage workloads across developers., • Take full ownership of project lifecycles — from requirements gathering to design, implementation, testing, and deployment., • Develop and refine C++ market-data parsers and processing engines that handle high-frequency and reference data at scale., • Partner with product and operations stakeholders to define technical roadmaps and onboard new data sources., • Enhance system performance, fault-tolerance, and scalability, leveraging modern AWS-based distributed infrastructure., • Offer technical mentorship, conduct reviews, and help engineers overcome blockers., • Participate in a light-touch support rotation to ensure smooth daily operation of the firm’s data feeds. About You • Proven track record leading or mentoring software engineers within an Agile environment., • Strong C++ development experience on Linux, delivering robust, performant systems into production., • Solid Python capability for orchestration, data tooling, and process automation., • Experience with large-scale financial or market data, particularly equities or other exchange-traded products., • Familiarity with modern engineering practices — CI/CD, source control, automated testing, and containerised deployment., • Excellent communication, organisational, and problem-solving skills. Contact: For further details or a confidential discussion about this opportunity, please reach out to Ciara Clarke at Harrington Starr

Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments. Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data. As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees. Job Description: Responsibilities Customer Delivery • Lead end to end solution development for multiple high-stakes customer deployments; manage technical strategy, design quality, and roadmaps for Agentic AI rollouts at enterprise scale., • Primary technical point of contact from integration design through to post-deployment optimisation, • Translate ambiguous requirements into structured engineering plans with clear milestones and success criteria, • Customise and extend platform components—APIs, tooling, and bespoke logic Architecture & Standards • Architect robust, scalable, and compliant Agentic AI solutions across industries, • Lead multi-agent orchestration, RAG pipelines, and LLM/SLM integration design, • Champion observability, telemetry, and auditable AI standards, • Build and maintain reusable frameworks and asset libraries Team & Product • Help build and guide cross-functional Forward Deployed Engineering teams; coach senior/junior engineers, and cultivate a culture of excellence, collaboration, and innovation., • Provide structured product feedback to Platform Engineering on feature gaps and pain points, • Contribute to playbooks, best practices, and technical blog posts Qualifications Required • 8–12+ years engineering experience; 3+ years in customer-facing or FDE roles, • Proven track record deploying AI/ML or data-intensive applications in production, • Strong full-stack skills: Python, Node.js/Go, React/Vue, SQL, REST/GraphQL, • DevOps proficiency: Docker, Kubernetes, CI/CD, and major cloud platforms, • Expertise in LLMs, Prompt Engineering, Vector DBs, RAG pipelines, and Agentic orchestration frameworks, • Agentic / Integrations: MCP, Salesforce/ SAP/ Other, • Excellent communication with both technical and executive stakeholders, • Mentorship capability and collaborative team-first mindset, • BS / MS / PhD in Computer Science, Data Science, or related field Preferred • SLM fine-tuning and/or distillation experience, • Hands-on with dedicated Agentic AI platforms (e.g. Agentforce, Copilot Studio), • Knowledge of AI compliance requirements: GDPR, EU AI Act, SOC 2, HIPAA, • Open-source or research contributions to LangChain, RAG, or Knowledge Graph communities

Senior AI Engineer (NLP / LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing • Designing and developing NLP and LLM-driven solutions for complex, real-world use cases, • Fine-tuning and adapting foundation models using domain-specific data, • Building evaluation frameworks, prompt testing tools and data preprocessing pipelines, • Monitoring, optimising and maintaining deployed models for performance, cost and reliability, • Implementing explainability, fairness and bias-mitigation strategies, • Collaborating on MLOps pipelines, CI/CD workflows and production deployments, • Mentoring junior engineers and promoting best practices across the team, • Staying current with advances in AI, NLP and MLOps to drive continuous improvement What We’re Looking For • Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership, • Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents), • Experience translating research and experimentation into production systems, • Solid understanding of MLOps, including CI/CD, monitoring and model lifecycle management, • Hands-on experience with Docker and Kubernetes, • Strong communication skills and experience mentoring or leading others Nice to Have • Experience working in regulated or sensitive domains, • Exposure to graph-based retrieval techniques, • Experience with Azure ML and DevOps integrations

London (Farringdon) We’re building LLM-powered workflow tools to support investment research for private market investors, used by leading private equity and consulting firms globally. The company is profitable, bootstrapped, and growing quickly, with a team of 30+ across London, NYC, and Sydney. The Role This is a high-ownership backend engineering role focused on building and scaling systems that power an AI-driven research platform. You’ll work across backend systems, data pipelines, integrations, and internal infrastructure — partnering closely with product, commercial, and operations teams to automate workflows and improve decision-making. What You’ll Do • Design and scale backend systems supporting LLM workflows, vector search, and orchestration, • Build data pipelines and internal platforms integrating product, CRM, and financial systems, • Develop automation and internal tooling to improve company efficiency, • Own systems end-to-end — from architecture to production, • Contribute to engineering culture and technical direction Example Projects • Customer Health System: unify product usage, CRM, and feedback into actionable insights, • User Feedback Pipeline: process calls with LLMs to extract themes and product insights, • Billing Infrastructure: build systems for complex B2B pricing and automated invoicing, • Internal Data Platform: create reliable pipelines and APIs for reporting and operations About You • Based in London (or willing to relocate), • Experience owning backend systems end-to-end, • Strong in Python or TypeScript, • Strong PostgreSQL and familiarity with modern data platforms (Snowflake, BigQuery, etc.), • Comfortable working in fast-moving startup environments, • Enjoy translating business problems into scalable technical systems Nice to Have • Experience with AI/LLM workflows or internal platforms Benefits • Private health insurance, • Gym membership, • Dinner when working late, • Team off-sites For more info or to apply, please share your CV to gjurgjica@mentortalent.ie.

Senior Business Analyst Perm Role SC Eligible OR Active SC Candidate London - 1-2 day Travel per week to office Role Summary The Senior Business Analyst (BA) will play a critical role in supporting multidisciplinary delivery teams to successfully deliver the HPV Self‑Testing service into Private Beta, and to iterate and mature the service through structured learning from user feedback, operational insights, and clinical and policy constraints. The post holder will work closely with Delivery Managers, Product Managers, UCD designers, engineers, clinical and policy stakeholders, translating user needs, service outcomes, and policy intent into clear, prioritised, and testable requirements. The role requires experience working in Government digital services, with a strong understanding of agile, user‑centred delivery in complex, regulated environments. Senior Business Analyst – Key Responsibilities Service & User Analysis • Work with UCD, Product and Clinical stakeholders to understand user needs, clinical requirements, and policy intent., • Translate user research findings into clear service requirements, hypotheses, and acceptance criteria., • Support the team to balance user needs, operational constraints, and clinical safety requirements. Agile Delivery Support • Collaborate closely with Delivery Managers and Product Managers to refine and prioritise the backlog., • Produce high‑quality user stories, process maps, and supporting artefacts suitable for Private Beta delivery., • Ensure requirements are incrementally delivered, testable, and aligned to service outcomes. Private Beta Delivery • Support delivery of the HPV Self‑Testing service into Private Beta, ensuring:, • Clear scope and success measures, • Traceability between user needs, policy goals, and delivered features, • Readiness for controlled live testing Iteration & Continuous Improvement • Analyse user feedback, support data, operational insights, and analytics gathered during Private Beta., • Work with the team to adapt and refine service journeys based on evidence., • Ensure learning is captured and informs subsequent delivery phases. Stakeholder Collaboration • Act as a bridge between delivery teams and wider stakeholders including policy, clinical, operational and assurance groups., • Facilitate workshops and structured conversations to resolve ambiguity and build shared understanding., • Communicate complex information clearly to both technical and non‑technical audiences. Governance & Assurance • Ensure business analysis outputs support compliance with:, • GDS Service Standard, • Accessibility and inclusive design requirements, • Support preparation for service reviews, show‑and‑tells, and assurance checkpoints. Essential Skills & Experience Essential • Proven experience as a Business Analyst in Government and/or NHS digital services, • Strong experience working in Agile, multidisciplinary teams, • Demonstrated ability to translate user needs into clear, actionable requirements, • Experience supporting Beta or Live digital services, • Excellent stakeholder management and communication skills Desirable • Experience working on screening, prevention, or healthcare services, • Familiarity with GDS Service Standard and service assessments, • Experience interpreting user research and service analytics, • Exposure to User‑Centred Design (UCD) practices Why This Role Matters This role directly supports the safe, effective, and inclusive rollout of an important preventative health service. Success will help improve cervical screening uptake, reduce inequalities in access, and ensure that learning from real users meaningfully shapes the future of the service.