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Lead Data Scientist, AI/ML About Cognizant Consulting Cognizant Consulting is a global community of experts dedicated to helping clients reimagine their business - blending deep industry and technology advisory capability to create innovative solutions for Fortune 500 clients. And now, we’re looking for our next colleague who’ll join us in shaping the future of business. Could it be you? About the role As a Lead Data Scientist, AI/ML, you will design, build, and operationalise modern analytics solutions that drive measurable value. You will also take on leadership responsibilities—guiding small, high performing teams as they deliver impactful AI initiatives. You’ll work closely with business stakeholders, product owners, architects, and cross-functional delivery teams to embed AI/ML into digital products and services, ensuring that complex technical insights translate into clear, compelling business outcomes. In this role, you will · Apply advanced statistical and scientific methods (e.g., hypothesis testing, inference) to frame problems, validate assumptions, and quantify impact. · Engineer and integrate data across structured and unstructured sources; oversee data wrangling and feature engineering for production grade pipelines. · Build and guide development of models using Python and libraries such as scikit learn, pandas, numpy, and develop deep learning solutions using TensorFlow and PyTorch. · Process big data at scale using Spark and cloud native tools (e.g., AWS Glue, Azure Data Factory). · Operationalise ML solutions using MLOps practices—CI/CD for models, reproducible training, and automated deployment. · Deliver applied ML and AI across predictive analytics, time series forecasting, anomaly detection, NLP, computer vision, and Generative AI (e.g., retrieval systems, chatbots). · Govern and monitor models in cloud environments; establish retraining schedules, performance monitoring, and risk controls. · Design machine learning architectures that support pre sales engagements and accelerate the successful initiation of new projects. · Lead agile delivery practices (Scrum/SAFe) using tools such as JIRA and Trello; ensure backlog health and delivery quality. · Coach, mentor, and develop team members; advocate for data driven decision making across the organisation. · Think strategically about data collection, metric design, and ethical AI—driving responsible and transparent use of data. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in London, UK. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you must have to be considered • 5+ years of hands‑on experience in statistical methods and ML engineering across the end‑to‑end lifecycle (data prep → modelling → deployment → monitoring)., • Proficiency in Python and strong command of ML/DS libraries (scikit‑learn, pandas, numpy, TensorFlow/PyTorch)., • Experience working with GCP, AWS and Azure data services., • Demonstrated MLOps expertise (CI/CD, model registries, reproducible training, automated deployment)., • Ability to communicate technical insights clearly to non‑technical audiences; strong storytelling with data., • Proven agile delivery experience; confident in facilitating ceremonies and partnering with product owners., • Strong grounding in data security and compliance, especially in regulated industries (e.g., BFSI, healthcare, life sciences)., • Working knowledge of cloud‑native software architecture, service design/design thinking, and version control (Git)., • Experience designing gen-AI and agentic AI architectures (e.g., using Google's ADK or similar frameworks)., • Background in real‑time analytics and event‑driven architectures., • Prior consulting experience (client‑facing, pre‑sales, solutioning) and domain expertise.

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.

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.

White Collar Factory (95009), United Kingdom, London, London Engineering Manager – Software & ML We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments. You’ll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models are integrated into seamless, consumer-facing experiences. * Lead & Scale: Support a cross-functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers. * Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. * Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software. * Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI-powered features. * Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync. * Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals. * Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure). * AI Awareness: You aren't necessarily a researcher, but you have expectations of how AI fits into the stack. You understand the basics of model inference, data requirements, and how to manage the non-deterministic nature of AI. * Strategic Thinking: Comfortable making technical trade-offs between the need for rapid experimentation and long-term architectural stability. * Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt. * ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment. * Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape. * Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications. This is a permanent position based in either our London or Nottingham offices. We have a hybrid working model. You'll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration. * Innovation Time: We give you 10% of your time to work on cutting-edge projects—whether that’s exploring new AI frameworks or building internal tools. * Growth: Access to Capital One University and external training to help you grow as both a leader and a technical strategist. * Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday). * World-Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars. We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ___ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Ideas | People | Trust We’re BDO. An accountancy and business advisory firm, providing the advice and solutions entrepreneurial organisations need to navigate today’s changing world. We work with the companies that are Britain’s economic engine – ambitious, entrepreneurially-spirited and high‑growth businesses that fuel the economy - and directly advise the owners and management teams that lead them. We’ll broaden your horizons To ensure our services and applications are fit for the modern market, our IT team collaborates with every department. They develop, they explore and they implement the new ideas helping us to change the future of accounting, tax and business consulting. But, just as importantly, they maintain the tech that keeps us advancing. By testing and adopting the future of financial technical solutions, they find new and exciting ways to drive us forward. And you could too. In an IT role at BDO, you’ll become part of a team that act as the backbone for our business. No matter who you are or what your skillset is, we’ll give you the training and support you need to achieve whatever you put your mind to. We’ll help you succeed Leading organisations trust us because of the quality of our advice. That quality grows from a thorough understanding of their business, and that understanding comes from working closely with them and building long-lasting relationships. You’ll be someone who is both comfortable working proactively and managing your own tasks, as well as confident collaborating with others and communicating regularly with senior managers, directors, and BDO’s partners to help businesses effectively. You’ll be encouraged to identify and draw attention to opportunities for enhancing our delivery and providing additional services to organisations we work with. Reporting into the IT Architecture team, the purpose of this role is to lead in designing, planning, and delivering solutions in collaboration with our Innovation & Digital Office and the business streams. Some of these solutions will be derived from innovation ideas that are being generated within the business. You’ll work closely with other Architects, and Innovation Managers to ensure new solutions address a business problem whilst adhering to our architectural design and enterprise strategy. In order to accelerate time to market, you will utilise approaches such as buy before build and a rapid agile delivery. Using both minimum viable product and iterative principals the role is responsible in delivering solutions at speed into the business, utilising a 'cloud first' strategy. You must be both technically proficient and solution focussed, motivated by finding coherent and strategic solutions to complex business. You will have a track record of innovation and be able to demonstrate examples of using creativity and technical knowledge to achieve successful business outcomes through an engaging and consultative approach. In this role you’ll: • Be responsible for leading the design, and technical delivery of prototypes and digital products within an agile squad., • Participate in the discovery of new opportunities, turning problems statements into business outcome driven technical proposals., • Solve problems using creative approaches and emerging technologies., • Be comfortable learning, and becoming a subject matter expert within, an assigned business domain., • Collaborate with Enterprise Architects, Integration Architects and Cloud Architects to build coherent systems within our IT environments., • Work alongside Business Analysts and UX Designers supporting the gathering and validating of requirements, user journeys and user experience., • Contribute to the growth of the IT Architecture function and its practices, ensuring that Architecture is, and is recognised as, a valuable asset to BDO., • Contribute and adhere to technical, delivery, and service governance standards whilst designing solutions., • Adhere to change processes and produce high quality technical documentation., • You’ll be someone with:, • Exceptional verbal and written communication, including presentation skills. Able to communicate to stakeholders at all levels of the organisation and 3rd parties. Experience working with the following technologies: • JavaScript, React, C# .NET, Python, SQL, APIs, Azure, Power Platform, SaaS, PaaS, IaC., • Exposure to and understanding of emerging technologies e.g. AI, LLMs, Machine Learning, NLP, MCP etc., • Experience in architecture and software development methodologies, and design techniques e.g. Agile, C4, UML, TOGAF, Microsoft Well-Architected Framework, design patterns., • Experience using modern tools in support of delivery:, • e.g. Azure DevOps, LeanIX, Lucidchart, Figma, Balsamiq, M365., • Excellent understanding of public cloud hosted infrastructure and application integrations., • Experience in building Minimal Viable Products (MVP) and working with product teams., • Experience evaluating and working with SaaS products., • You’ll be able to be yourself; we’ll recognise and value you for who you are and celebrate and reward your contributions to the business. We’re committed to agile working, and we offer every colleague the opportunity to work in ways that suit you, your teams, and the task at hand., • At BDO, we’ll help you achieve your personal goals and career ambitions, and we have programmes, resources, and frameworks that provide clarity and structure around career development. We’re in it together Mutual support and respect is one of BDO’s core values and we’re proud of our distinctive, people-centred culture. From informal success conversations to formal mentoring and coaching, we’ll support you at every stage in your career, whatever your personal and professional needs. Our agile working framework helps us stay connected, bringing teams together where and when it counts so they can share ideas and help one another. At BDO, you’ll always have access to the people and resources you need to do your best work. We know that collaboration is the key to creating value for the companies we work with and satisfying experiences for our colleagues, so we’ve invested in state-of-the-art collaboration spaces in our offices. BDO’s people represent a wealth of knowledge and expertise, and we’ll encourage you to build your network, work alongside others, and share your skills and experiences. With a range of multidisciplinary events and dedicated resources, you’ll never stop learning at BDO. #LI-JB1 #TJ-JB1

White Collar Factory (95009), United Kingdom, London, London Engineering Manager – Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments. You’ll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models are integrated into seamless, consumer-facing experiences. What you’ll do * Lead & Scale: Support a cross-functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers. * Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. * Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software. * Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI-powered features. * Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync. What we’re looking for * Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals. * Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure). * AI Awareness: You aren't necessarily a researcher, but you have expectations of how AI fits into the stack. You understand the basics of model inference, data requirements, and how to manage the non-deterministic nature of AI. * Strategic Thinking: Comfortable making technical trade-offs between the need for rapid experimentation and long-term architectural stability. * Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt. What you’ll get to learn * ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment. * Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape. * Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications. Where and how you'll work This is a permanent position based in either our London or Nottingham offices. We have a hybrid working model. You'll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration. What’s in it for you * Innovation Time: We give you 10% of your time to work on cutting-edge projects—whether that’s exploring new AI frameworks or building internal tools. * Growth: Access to Capital One University and external training to help you grow as both a leader and a technical strategist. * Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday). * World-Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars. Our Commitment to Diversity We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Founding Account Executive, EMEA (Enterprise, Senior) Location: EC1, London (Hybrid) Compensation: £115,000 - £145,000 basic p.a. (+ double OTE and between 0.25 - 0.5% equity) Our client is a Series B, AI-driven FinTech building applied machine-learning products for enterprise financial institutions. Rather than incremental tooling, they focus on high-impact systems that directly influence revenue, risk, and decision-making across complex financial environments. Founded less than three years ago, the company has already reached eight-figure ARR, secured eight-figure funding, and established a strong base of enterprise customers. This is not a speculative AI story. The commercial model is proven, demand is validated, and growth is now the priority. The business is entering a rapid scale phase and is investing heavily in its go-to-market function. The role This is a Founding Snr Enterprise Account Executive / GTM Lead position. You are not stepping into a mature sales organisation. You are helping design and scale the commercial engine. The mandate spans revenue generation, market strategy, and early GTM infrastructure. This role is suited to someone who understands how to win complex enterprise deals while simultaneously shaping positioning, ICP definition, and sales motion design. What you’ll do • Own full enterprise sales cycles from pipeline creation through close, • Lead high-value, multi-stakeholder deal processes, • Define and refine ideal customer profiles and targeting strategy, • Shape messaging, positioning, and sales narrative, • Build repeatable sales processes and early GTM structure, • Partner directly with founders on commercial strategy, • Influence hiring and early team build, • Drive expansion within landed enterprise accounts What our client needs! • Proven success in enterprise AI FinTech/RegTech sales or Founding AI sales role, • Experience winning complex, high-ACV deals, • Credible engaging senior financial, technical, and executive stakeholders, • High ownership mindset with builder mentality, • Consistent record of quota overperformance, • Exposure to AI, data, or machine-learning-led products, • Background selling into financial institutions, • Experience shaping GTM strategy, not just executing it Why this role • Commercially proven AI business with real customers, • Strong base salary, uncapped commission, meaningful equity, • Foundational role with genuine influence, • Direct access to founders and leadership, • Clear trajectory into senior commercial leadership, • Opportunity to shape category positioning in applied AI / FinTech Want to apply to the Founding Account Executive, EMEA (Enterprise, Senior) vacancy? The deadline for applications will be Friday 6th March 2026 Email your CV to

About Us Digital Reality Corp (DRC) is a spatial technology company that captures and publishes 3D information about real-world interiors on an industrial scale. Our technology is transforming industries by digitising the world’s interiors with new levels of accuracy, consistency, and insight. Our product, Stak, offers commercial property professionals an all-in-one solution for creating precise, data-rich digital assets - from verified floorplans and CAD models to immersive virtual tours. Built on advanced 3D capture, machine learning, and automation, Stak delivers accurate, feature-rich outputs that power decision-making across real estate, construction, and asset management. We have digitised more than 100,000 buildings, 250 million square feet, and $350 billion of real estate. We have staff in the UK, UAE, Singapore, and South Africa. We are backed by leading real estate companies including, Grosvenor Property Group and Cushman and Wakefield. DRC is a place for people who think big and want to create extraordinary things. Our culture values curiosity, craftsmanship, and collaboration - we’re constantly learning, evolving, and pushing boundaries to achieve our ambitious goals. Why Join Us? This is a rare opportunity to join a technology business on the cusp of major scale. You’ll be at the centre of our commercial success in the UK - helping shape how we engage with the market, deliver value to clients, and build a category-defining platform for spatial intelligence and digital property insights. Role Overview: The Digital Surveyor (DS) role involves capturing highly accurate spatial data of properties using industry-leading hardware and proprietary software. In addition to fieldwork, the role includes processing survey data and producing detailed Stak Verified measured survey floorplans. This is an attitude-first role. You don’t need prior surveying experience—we will train you fully in our London office. What matters most is your eagerness to learn, work ethic, curiosity, collaboration, and professionalism. If you are proactive, reliable, adaptable, and willing to travel for projects, we want to hear from you. The position requires travel within London, across the UK, and potentially internationally. The Digital Surveyor represents the company’s brand, engages professionally with clients, and leverages cutting-edge technology to deliver high-quality digital assets. Key Responsibilities: • Capture accurate spatial data of properties using Leica laser scanning equipment, including BLK2GO, BLK360, and RTC., • Work independently on site to carry out detailed surveys, ensuring accuracy, completeness, and efficiency., • Process and register raw survey data into usable digital formats using industry-standard software., • Travel regularly within London, across the UK, and potentially internationally, sometimes for extended periods., • Communicate effectively with clients and project teams, maintaining a professional and presentable appearance at all times., • Represent the company brand positively during site visits and client-facing interactions., • Maintain survey equipment and ensure all tools are used and stored correctly and safely., • Stay current with technological developments in digital surveying and contribute to improvements in survey workflows. What We’re Looking For • Right to work in the UK., • Eager to learn and quick to adapt to new tools, technologies, and ways of working., • Hardworking, reliable, and proactive in solving problems., • Collaborative and able to work well both independently and in a team., • Professional and presentable, able to represent the company and brand positively., • Willing and able to travel for projects across the UK and occasionally internationally., • Strong attention to detail and ability to follow processes., • Valid UK driving licence., • Available to work from the London office when not on site (standard hours: 9:00 – 18:00). Nice to Have (but not required) • Previous experience in land or building surveying., • Familiarity with survey data software such as Cyclone. What We Offer • Full training in the role, with clear career progression., • Exposure to cutting-edge technology in the spatial data space., • A collaborative and ambitious team culture., • Opportunities to travel and work on varied projects across the UK and internationally. If you’re eager, ambitious, and excited to grow with a company that’s shaping the future of spatial intelligence, we want you on our team. APPLY today!

Senior Data Engineer Location: London (Hybrid) Function: Data Engineering / Data Platform Salary: Up to £140,000 base + bonus + benefits About the Role Our client is a global commodities and energy trading firm operating at the intersection of quantitative research, technology, and trading. Following the recent acquisition of a major energy trading and technology business, the firm has significantly expanded its capabilities in renewable power optimisation, analytics, and physical gas trading across international markets. They are now hiring a Senior Data Engineer to join their Technology Data, AI & UX team in London. This team sits close to the trading floor and is responsible for building the data infrastructure that supports traders, quantitative researchers, and data scientists. The work focuses on building scalable pipelines, enabling real-time analytics, and delivering high-quality datasets used for predictive modelling, machine learning, and systematic trading strategies. This role requires someone who combines strong technical data engineering capability with commercial awareness, capable of working directly with front-office stakeholders and translating trading requirements into robust data solutions. What You’ll Be Doing • Building and maintaining high-performance data pipelines ingesting structured and unstructured datasets from a variety of internal and external sources., • Developing ingestion processes including scrapers, ETL pipelines, crawlers, streaming jobs, and services., • Cleaning, transforming, and enriching datasets to ensure high quality and usability across analytics and trading use cases., • Designing storage solutions across data lakes, databases, and analytical warehouses., • Delivering data internally via APIs, Python libraries, and direct database access., • Maintaining and optimising existing pipelines and databases used by trading and analytics teams., • Supporting data scientists and quantitative teams by enabling access to cloud resources, datasets, and internal Python tooling., • Contributing to the automation of post-processing tasks including prediction pipelines and visualisation workflows., • Collaborating directly with traders and front-office teams to develop data solutions for real-time analytics and trading decisions., • Maintaining documentation and knowledge bases around data sources, architecture, and pipelines. Ideal Background The successful candidate will bring strong hands-on data engineering experience and the ability to operate in a front-office, commercially focused environment. Core experience required: • Strong Python development, particularly for data ingestion, crawling, parsing, and transformation., • Extensive experience working with SQL and analytical databases, ideally including Amazon Redshift or similar time-series platforms., • Experience building production data pipelines in AWS cloud environments., • Familiarity with Docker containers and CI/CD pipelines., • Experience with Infrastructure as Code and deployment tooling such as CloudFormation or CDK., • Strong understanding of data pipeline design, performance optimisation, and data quality practices., • Experience working directly with front-office stakeholders such as traders, quants, or analysts., • Exposure to commodities, energy trading, or financial markets., • Experience supporting real-time or near-real-time analytics environments., • Knowledge of additional AWS services such as S3, Lambda, Athena, Kinesis, EMR, Fargate, or API Gateway., • Experience with big data technologies including Spark, Databricks, Hadoop, or Dask., • Familiarity with data visualisation tooling such as Plotly., • Experience mentoring junior engineers or leading technical initiatives. What You’ll Receive • Base salary up to £140,000 depending on experience., • Participation in a performance-based discretionary bonus scheme., • 25 days annual leave plus public holidays., • Comprehensive benefits including private medical, dental, life insurance, and strong pension contributions., • Access to training and development programmes to support ongoing technical growth., • The opportunity to work in a high-performing trading environment where technology directly impacts market decisions. Who Should Apply This role will suit a senior data engineer who enjoys operating close to the business, particularly in environments where data directly influences trading or commercial outcomes. Candidates coming from financial services, trading firms, hedge funds, energy markets, or high-performance data platforms will likely transition most easily, though strong engineers from other real-time data environments will also be considered. If you are looking to work on complex data challenges, collaborate with front-office teams, and build systems that power real-world trading decisions, this is a strong opportunity.

Lead AI Engineer Hybrid Working on Client Site £90,000 to £110,000 plus bonus and benefits This is a standout opportunity to shape and deliver cutting‑edge digital solutions that drive real operational impact. You will work directly with clients, embedding AI, advanced analytics, and digital tools into live environments and seeing your work translate into tangible outcomes. The Company This organisation is known for delivering meaningful, measurable change across both public and private sectors. They partner closely with clients to solve complex challenges using AI, data science, and digital innovation. Their culture is collaborative, low‑ego, and centred on developing exceptional talent. As they scale their digital capabilities, you will be joining a growing team with significant influence on its future direction. The Role • Identify high‑impact opportunities to apply AI, data science, advanced analytics, and digital tooling., • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools., • Work closely with client teams on the ground to embed solutions directly into operations., • Guide multi‑disciplinary teams that combine people, processes, and technology to deliver sustainable results., • Translate complex technical concepts into clear, actionable insights for non‑technical stakeholders., • Mentor colleagues and help shape best‑practice approaches across digital programmes., • Stay current with emerging technologies and bring innovative ideas into client delivery. Client site travel is essential as you will drive change alongside client teams. Your Skills and Experience • Strong commercial experience taking digital ideas from concept through to operational impact., • Deep capability in AI, data science, advanced analytics, or digital tooling., • Ability to turn technical designs into practical, in‑operation solutions., • Confident leading teams and managing stakeholders across technical and non‑technical backgrounds., • Skilled at communicating complex ideas simply and clearly., • A hands‑on, client‑centric approach with a focus on delivering measurable outcomes., • Comfortable working on‑site with clients to drive change in real time. What They Offer • Clear progression pathways with structured development support., • Exposure to high‑impact projects across diverse sectors., • A collaborative digital community with access to the latest technologies. How to Apply If you are excited by the opportunity to deliver meaningful, data‑driven impact, please apply with your CV.

Principal AI Engineer Hybrid Working on Client Site £100,000 to £130,000 plus bonus and benefits This is a standout opportunity to shape and deliver cutting‑edge digital solutions that drive real operational impact. You will work directly with clients, embedding AI, advanced analytics, and digital tools into live environments and seeing your work translate into tangible outcomes. The Company This organisation is known for delivering meaningful, measurable change across both public and private sectors. They partner closely with clients to solve complex challenges using AI, data science, and digital innovation. Their culture is collaborative, low‑ego, and centred on developing exceptional talent. As they scale their digital capabilities, you will be joining a growing team with significant influence on its future direction. The Role • Identify high‑impact opportunities to apply AI, data science, advanced analytics, and digital tooling., • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools., • Work closely with client teams on the ground to embed solutions directly into operations., • Guide multi‑disciplinary teams that combine people, processes, and technology to deliver sustainable results., • Translate complex technical concepts into clear, actionable insights for non‑technical stakeholders., • Mentor colleagues and help shape best‑practice approaches across digital programmes., • Stay current with emerging technologies and bring innovative ideas into client delivery. Client site travel is essential as you will drive change alongside client teams. Your Skills and Experience • Strong commercial experience taking digital ideas from concept through to operational impact., • Deep capability in AI, data science, advanced analytics, or digital tooling., • Ability to turn technical designs into practical, in‑operation solutions., • Confident leading teams and managing stakeholders across technical and non‑technical backgrounds., • Skilled at communicating complex ideas simply and clearly., • A hands‑on, client‑centric approach with a focus on delivering measurable outcomes., • Comfortable working on‑site with clients to drive change in real time. What They Offer • Clear progression pathways with structured development support., • Exposure to high‑impact projects across diverse sectors., • A collaborative digital community with access to the latest technologies. How to Apply If you are excited by the opportunity to deliver meaningful, data‑driven impact, please apply with your CV.

Lead Data Scientist Up to £125,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: • Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn, • Evaluate and optimise all models, identifying areas for development, • Work end-to-end both building and deploying models, • Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements, • Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value., • Remaining technically very hands on whilst mentoring Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

Full Stack Data Scientist - AI & Knowledge Systems About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. We are looking for candidates that can combine technical expertise with a true consulting approach. Responsibilities • Design, develop, and implement advanced machine learning models and AI capabilities, • Build and maintain knowledge graphs and causal inference systems, • Create probabilistic models to address complex business problems, • Scale AI solutions from proof-of-concept to MVP and full production, • Collaborate with backend engineers on data pipelines and infrastructure, • Work within solution architecture frameworks to ensure AI integration, • Contribute to solution design and technical decision-making, • Translate business requirements into technical specifications Required Skills & Experience • Great experience combining data science with software engineering, • Strong expertise in machine learning, with focus on causal ML and probabilistic modelling, • Experience developing and implementing knowledge graphs, • Proficiency in scaling AI solutions from concept to production, • Working knowledge of backend systems, data pipelines, and ETL processes, • Familiarity with cloud platforms, particularly Microsoft Azure, • Understanding of microservices architecture and distributed systems, • Experience with DevOps practices for AI/ML workflows (MLOps), • Strong programming skills in Python and related data science libraries, • Demonstrated ability to work within solution architecture frameworks Preferred Qualifications • Experience with multiple cloud providers beyond Azure, • Familiarity with container orchestration (Kubernetes), • Knowledge of graph databases and query languages, • Experience with deep learning frameworks, • Background in NLP, computer vision, or reinforcement learning, • Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would be a plus

My leading Financial trading client are looking for a talented and adaptable individual to help setup their AI frameworks and subsequently implement AI into the business. Initially the role would be a mix of AI and Data management, which would then transition into a full AI role once the frameworks have been setup. Some of the initial tasks include Dataset onboarding, cataloguing data assets, and setting data quality rules. This is brilliant role in a cutting edge part of the business! The following skills / experience are required: • Business Analyst / Product Owner background, • Proven experience in Data, • Financial product / traded product knowledge, • Any experience with Machine Learning / Large Language Models (LLM) / Data Science is desirable., • Excellent communication skills Salary: Excellent + bonus + package Location: London (good work from home options available) If you are interested in this AI Governance Consultant position and meet the above requirements please apply immediately.

Agile Delivery Lead Location: London (Hybrid – London office with occasional travel to client sites) Salary: £60,000 – £100,000 + benefits Security Clearance: Must hold SC Clearance or be eligible to obtain SC Clearance Overview We are working with a fast-growing Data & AI consulting firm helping organisations unlock value from advanced analytics, AI, and modern data platforms. As part of their continued growth, they are looking to hire an Agile Delivery Lead to help shape and deliver complex data and AI programmes for public and private sector clients. This role sits at the heart of delivery — coordinating cross-functional squads of data engineers, data scientists, and product specialists to take solutions from initial concept through to production deployment. You will play a key role in ensuring delivery is structured, collaborative, and commercially successful, whilst maintaining the pace and agility required to deliver modern data products. The Role The Agile Delivery Lead will oversee the delivery of multiple agile squads working on advanced data initiatives. These engagements typically involve delivering: • Proof of Concepts (POCs), • Minimum Viable Products (MVPs), • Alpha and Beta solutions, • Production-grade AI and data platforms You will work closely with clients, product owners, architects, and engineering teams to ensure delivery is well-governed, transparent, and outcome-driven. This is a consulting-facing role, so the successful candidate will be comfortable operating in client environments, building strong relationships, and helping shape delivery approaches for complex data programmes. Key Responsibilities • Lead the end-to-end delivery of data and AI initiatives across multiple agile squads., • Manage teams of data engineers, data scientists, and technical specialists delivering modern data platforms and AI-driven solutions., • Ensure delivery of POCs, MVPs, alpha and beta releases through to stable production deployments., • Establish and maintain Agile delivery frameworks (Scrum, Kanban, SAFe where appropriate)., • Coordinate sprint planning, backlog management, delivery roadmaps, and stakeholder reporting., • Work closely with client stakeholders and product owners to translate business problems into deliverable data solutions., • Identify and mitigate delivery risks while maintaining momentum across programmes., • Ensure teams maintain strong engineering discipline, quality assurance, and deployment readiness., • Support the continuous improvement of delivery practices across the consulting organisation. What We’re Looking For • Proven experience working as an Agile Delivery Lead, Delivery Manager, or Programme Delivery Lead., • Experience managing multiple agile squads delivering technology or data-focused programmes., • Strong understanding of Agile delivery frameworks (Scrum, Kanban, or scaled agile)., • Experience delivering data platforms, analytics solutions, or AI/ML products., • Comfortable working in consulting or client-facing environments., • Ability to manage multiple stakeholders across technical and business teams., • Strong communication, organisation, and leadership skills. Desirable Experience • Experience working with Data Engineering or Data Science teams., • Exposure to cloud platforms such as Azure, AWS, or GCP., • Experience delivering data platforms, machine learning solutions, or analytics products., • Previous experience working in government or regulated environments. Security Clearance Due to the nature of some client engagements, candidates must hold current SC Clearance or be eligible to obtain SC Clearance. Working Pattern • Hybrid working model, • London office base with travel to client sites when required

Job Description: Senior AI Scientist (DV‑Cleared) Location: UK (On‑site, Secure Environment) Clearance: DV Clearable Required Contract: Inside IR35 Start Date: In several months (ideal for candidates completing other engagements) About the Role We are seeking an experienced Senior AI Scientist to support a high‑impact programme within a major UK government department. This role is focused on the development and evaluation of advanced AI systems, with a particular emphasis on Large Language Models (LLMs), agentic workflows, and modern generative AI techniques. You will work in a secure environment, applying cutting‑edge AI methods to complex operational challenges, while influencing the direction of AI adoption within the organisation. This is an excellent opportunity for a senior practitioner who can combine technical depth, research‑grade thinking, and hands‑on engineering—operating with a high degree of independence and responsibility. Key Responsibilities • Lead the design, development, and optimisation of AI models, including transformer‑based architectures and LLM‑driven systems., • Build and assess agentic AI workflows, retrieval‑augmented pipelines, and advanced evaluation frameworks., • Conduct rigorous model benchmarking, statistical analysis, and robustness testing to ensure scientific integrity., • Contribute to the organisation’s broader AI capability growth, best practices, and technical governance. Essential Experience • Must be DV Clearable, • Strong expertise in LLMs, generative AI, and transformer models., • Hands‑on experience with agentic workflows, modern AI toolchains, and evaluation methodologies., • Deep understanding of machine learning, statistical modelling, and optimisation techniques., • Strong programming skills (Python preferred) and experience with modern AI/ML frameworks., • Proven experience delivering AI solutions in complex or high‑security environments. Desirable Skills • Experience with MLOps, LLMOps, or production‑grade AI deployments., • Knowledge of vector databases, RAG, and prompt engineering techniques., • Exposure to government, defence, or national security domains. Who This Role Suits • A senior‑level AI/ML specialist who wants to apply cutting‑edge AI in meaningful real‑world contexts., • An expert comfortable taking LLM‑based projects from concept through evaluation to delivery., • Contractors seeking a forward‑planned assignment with a delayed start date.

Our Client Founded 5 years ago and already 130 people strong (have gone from 80 to 130 people in the last 6 months) with offices in both London and SF, our client has built a robust and explosive DataOps business. Series B funded (raised over $30m), they are currently the youngest AI business to raise a Series B from the YCombinator portfolio! They have built a product that leans into blending machine learning models and data annotation to help businesses save time and money! What You’ll Get This is a key hire, you'll be joining their founding sales team - looking to pay £80,000 - £110,000 (depending on experience) on the base + double OTE + equity. This role is a hybrid role, although you will be expected to be in their central London office 3 days a week. You'll get the chance to join stellar sales professionals selling a pioneering product for a young, fast-growing SaaS business. Their product is so diverse, no 2 days will be the same... One day you will be selling into an established Tech business, the next you could be selling to the NHS or even the NFL! What You’ll do Working closely with the Sales Director and the other Founding Enterprise AEs, you will play a huge part in building their European presence. You'll be closing deals £100k plus whilst trying to break into some of the world's leading brands. You must be prepared to generate some of your own pipeline. What you’ll need You will have a proven track record in true complex SaaS sales, whilst also showing that you've excelled in other areas of life (academics or sport etc...). You will have previously worked towards yearly revenue targets of circa £1M or north of this. You must, must, must be willing to work in a scrappy start-up and be ready to be your own CEO!

Senior Data Architect Location: Remote (UK-based) Employment Type: Permanent Sector: Consulting / Public Sector Eligibility: Applicants must have the existing right to work in the UK. Visa sponsorship is not available. Overview We are seeking a Senior Data Architect (20+ years’ experience) to lead the design and delivery of enterprise-scale data platforms within consulting and public sector environments. This role requires strong architectural leadership, stakeholder engagement, and deep expertise in modern data platforms that support advanced analytics and AI-enabled solutions. Key Responsibilities • Lead the architecture and design of enterprise data platforms supporting large transformation programmes., • Define modern architectures including lakehouse platforms, distributed analytics, and event-driven systems., • Provide oversight of data engineering environments, including ETL/ELT pipelines, orchestration, and DataOps practices., • Ensure platforms are secure, scalable, resilient, and aligned with governance standards., • Lead architecture workshops and governance forums, aligning business strategy with technology delivery., • Implement data governance, master data management (MDM), and regulatory compliance frameworks (e.g. GDPR)., • Mentor architects and engineering teams and contribute to architectural best practices. AI & Advanced Data Platforms Candidates must have experience delivering AI or machine learning capabilities, including architecture for model training, deployment, monitoring, and integration into enterprise data platforms. Requirements • 20+ years’ experience in data architecture or enterprise data platforms., • Experience delivering consulting engagements, ideally within the UK public sector., • Proven experience designing large-scale cloud-based data and analytics platforms., • Strong stakeholder management and ability to translate architecture into business value. Technical Skills • Cloud platforms: Azure, AWS, or GCP, • Data lakes, warehouses, and lakehouse architectures, • Streaming and event-driven architectures, • Data modelling, SQL, and modern data engineering tools, • API-led and event-based integration patterns

Zenith UK AI Data Engineer Our Commitment At Zenith UK, we believe that fostering an inclusive culture where all talent can thrive makes our company stronger. It enables a greater idea exchange, which fosters innovation and creativity, and enriches our perspective.We are committed to Publicis Groupe’s wide variety of talent engagement and inclusion programming, and encourage our people to take an active role in continuing to drive positive change within our agency. This role presents an opportunity to engage deeply with MLOps, vector databases, and Retrieval-Augmented Generation (RAG) pipelines. If you are passionate about shaping the future of AI and thrive on complex, high-impact challenges, we encourage you to apply. What You'll Do: As a Senior Data Engineer for AI/ML, you will be the architect and builder of the data infrastructure that feeds our intelligent systems. Your responsibilities will include: • Design and Build Scalable Data Pipelines: Architect, implement, and optimize robust, high-performance real-time and batch ETL pipelines to ingest, process, and transform massive datasets for LLMs and foundational AI models., • Cloud-Native Innovation: Leverage your deep expertise across AWS, Azure, and/or GCP to build cloud-native data solutions, ensuring efficiency, scalability, and cost-effectiveness., • Power Generative AI: Develop and manage specialized data flows for generative AI applications, including integrating with vector databases and constructing sophisticated RAG pipelines., • Champion Data Governance & Ethical AI: Implement best practices for data quality, lineage, privacy, and security, ensuring our AI systems are developed and used responsibly and ethically., • Tooling the Future: Get hands-on with cutting-edge technologies like Hugging Face, PyTorch, TensorFlow, Apache Spark, Apache Airflow, and other modern data and ML frameworks., • Collaborate and Lead: Partner closely with ML Engineers, Data Scientists, and Researchers to understand their data needs, provide technical leadership, and translate complex requirements into actionable data strategies., • Optimize and Operate: Monitor, troubleshoot, and continuously optimize data pipelines and infrastructure for peak performance and reliability in production environments. What You'll Bring: We are seeking a seasoned professional who is excited by the unique challenges of AI data. Must-Have Skills: • Extensive Data Engineering Experience: Proven track record (3+ years) in designing, building, and maintaining large-scale data pipelines and data warehousing solutions., • Cloud Platform Mastery: Expert-level proficiency with at least one major cloud provider (GCP-Preferred, AWS, or Azure), including their data, compute, and storage services., • Programming Prowess: Strong programming skills in Python and SQL are essential., • Big Data Ecosystem Expertise: Hands-on experience with big data technologies like Apache Spark, Kafka, and data orchestration tools such as Apache Airflow or Prefect., • ML Data Acumen: Solid understanding of data requirements for machine learning models, including feature engineering, data validation, and dataset versioning., • Vector Database Experience: Practical experience working with vector databases (e.g., Pinecone, Milvus, Chroma) for embedding storage and retrieval., • Generative AI Familiarity: Understanding of data paradigms for LLMs, RAG architectures, and how data pipelines support fine-tuning or pre-training., • MLOps Principles: Familiarity with MLOps best practices for deploying and managing ML models in production., • Data Governance & Ethics: Experience implementing data governance frameworks, ensuring data quality, privacy, and compliance, with an awareness of ethical AI considerations. Bonus Points If You Have: • Direct experience with Hugging Face ecosystem, PyTorch, or TensorFlow for data preparation in an ML context., • Experience with real-time data streaming architectures., • Familiarity with containerization (Docker, Kubernetes)., • Master's or Ph.D. in Computer Science, Data Engineering, or a related quantitative field. Zenith UK has fantastic benefits on offer to all of our employees, full details of which are shared when you join. This includes the classics like Pension, Life Assurance, Private Medical, as well as Reflection Days, Shared Parental Leave, and spans other initiatives like: 📖 Please check out the Publicis Career Page which showcases our Inclusive Benefits and our EAG’s (Employee Action Groups). At Zenith UK, we are proud to be an equal opportunities employer. We welcome and encourage applications from people of all backgrounds, and do not discriminate on the basis of race, ethnicity, nationality, religion or belief, disability, age, citizenship, relationship status, sexual orientation, gender identity, or any other protected characteristic. We are committed to providing a fair, accessible, and inclusive recruitment process. If you have any access needs - for example, related to disability, neurodivergence, or a health condition - please let us know. We’ll work with you to ensure the process works for you. Sharing this information will never impact your application. Guided by our values, we listen with empathy, uplift each other, take responsibility, and embrace change - building a culture where everyone feels seen, respected, and genuinely included.

Senior Machine Learning/AI Engineer • £100,000-£125,000, • Hybrid working model: three days per week in the office (Monday, Tuesday, plus one flexible day) LDN, • 27 days of annual leave plus 8 bank holidays and 5 additional days, including life event, volunteering, and company-wide wellbeing days., • Private medical insurance, medical cashback, life insurance, gym membership, wellbeing resources, and access to mental health support., • Opportunity to work remotely from anywhere for up to 10 days per year. We are currently partnered with a company that believes technology should empower everyone to achieve their potential. As an Senior Machine Learning/Applied AI Engineer, the successful candidate will turn cutting-edge AI research into real-world products that make learning and development smarter, more personalised, and more impactful for thousands of users. The Senior Machine Learning/Applied AI Engineer role sits within a growing Applied Science team and is focused on building, deploying, and scaling AI systems that operate in real production environments. This is a senior, hands-on role for engineers who have moved beyond experimentation and have delivered LLM-powered systems that directly impact products, users, or business outcomes. Key Responsibilities • Design & Deliver AI Solutions: Partner with Product, Design, and Data teams to shape and deliver AI-powered features that drive meaningful impact for learners and create value for customers., • Leverage Large Language Models (LLMs): Design, fine-tune, and integrate LLM-powered solutions for use cases including content generation, semantic search, summarisation, and personalised learning experiences., • Build & Integrate Models: Develop, fine-tune, and embed machine learning models into production systems using modern AI tooling, ensuring solutions are scalable, reliable, and performant., • Own the End-to-End Lifecycle: Take responsibility for the full lifecycle, from raw data and experimentation through deployment, monitoring, and continuous iteration., • Measure What Matters: Track performance, accuracy, and adoption of AI features, using insights to drive continuous improvement., • Enable Others: Share expertise and help make AI approachable, enabling teams across the organisation to enhance their work with AI., • Lead in MLOps & Cloud Infrastructure: Build robust pipelines for model training, deployment, monitoring, and retraining using AWS and modern MLOps best practices., • Champion Innovation: Stay ahead of emerging AI tools and techniques, applying them to deliver exceptional, user-focused experiences. What the Company Is Looking For • Hands-On AI/ML Expertise: Experience building and deploying machine learning models using frameworks such as PyTorch, TensorFlow, or scikit-learn., • LLM Experience: Proven experience working with large language models (e.g. GPT, Claude, Gemini) in production environments, including prompt engineering, evaluation, and safety considerations., • Strong Engineering Skills: Proficiency in Python and TypeScript, with experience building APIs, microservices, and cloud-native applications., • Modern AI Tooling: Familiarity with emerging AI development tools such as Cursor and Gemini is highly desirable., • Cloud & MLOps: Practical experience deploying AI solutions on AWS, including CI/CD, model versioning, observability, and retraining pipelines., • Data Fluency: Skilled in working with structured and unstructured data, including preprocessing and feature engineering., • User-Centred Mindset: Ability to translate complex AI capabilities into intuitive and seamless product experiences., • Collaborative Approach: Thrives in cross-functional, creative teams and values building together., • Growth Mindset: Curious, open to feedback, and committed to contributing to an inclusive, high-performing culture. Click apply to be considered for shortlisting.

🔥 Who We Are At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Computer Vision Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As a Computer Vision Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class, open-source AI models. You will drive the entire lifecycle of our models, from research to real-world deployment. Key responsibilities include: • Developing, training, and optimizing state-of-the-art computer vision models, with a primary focus on the Ultralytics YOLO ecosystem., • Implementing advanced data augmentation and preprocessing techniques to improve model robustness on diverse datasets., • Leading the full lifecycle of model development, from research and training to validation and performance benchmarking., • Mastering model export to various formats such as ONNX, OpenVINO, and TensorRT to support a wide range of hardware., • Working on model deployment strategies, including optimizing models for high-performance inference on both cloud and edge devices., • Contributing to our CI/CD pipelines using GitHub Actions to ensure code quality, reliability, and automated testing. 🛠️ Skills and Experience • 5+ years of hands-on experience in Computer Vision and Deep Learning., • Expert-level proficiency in Python and deep expertise with PyTorch., • Strong practical experience with OpenCV for image and video processing tasks., • Proven experience in training, fine-tuning, and deploying object detection models, particularly within the YOLO family., • Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks like TensorRT and OpenVINO., • Experience with MLOps tools and practices, including version control (Git), Docker, and CI/CD with GitHub Actions., • Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment., • A strong portfolio of projects or contributions to open-source AI repositories. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits • Competitive Salary: Highly competitive based on experience., • Startup Equity: Participate directly in our company's growth and success., • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote., • Generous Time Off: 24 days vacation, your birthday off, plus local holidays., • Flexible Hours: Tailor your working hours to suit your productivity., • Tech: Engage with cutting-edge AI projects and our Ultralytics HUB., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity.

Job Title: Data Scientist Job Type: Full Time, Permanent Location: London, Hybrid (3 office days a week) Role Purpose At Travelex, data is at the heart of every decision we make. We rely on advanced analytics and deep insights to power our products, optimise our processes, and uncover new opportunities. We are seeking an experienced Data Scientist with strong statistical expertise, analytical curiosity, and creative problem-solving skills to join our growing team. In this role, you will work closely with cross-functional teams to extract meaning from complex data, design predictive models, and translate insights into measurable business value. You’ll be instrumental in shaping how data informs strategy and drives innovation across the organisation. Objectives -Collaborate with product and technology teams to understand data needs, business goals, and opportunities for innovation. -Research, prototype, and implement advanced statistical and machine learning models to solve complex business problems. -Translate analytical findings into clear, actionable insights that drive strategic decisions. -Embed data science and AI solutions into key business processes to enable intelligent automation. -Stay current with the latest developments in data science, AI frameworks, and responsible AI practices, and champion their adoption across teams. Responsibilities -Act as a data strategist to identify, integrate, and leverage new data sources through product capabilities. -Collaborate with engineering teams to build, test, and deploy scalable data products and predictive models. -Execute analytical experiments to address challenges across multiple business domains. -Mine and process large structured and unstructured datasets to extract meaningful features and patterns. -Design, validate, and optimise algorithms and statistical models for predictive and prescriptive analysis. Requirements -3+ years of experience in data science or a related field. -Proven expertise in data mining, statistical modelling, and machine learning techniques. -Advanced experience in pattern recognition, predictive modelling, and feature engineering. -Proficiency in Python and SQL, and a solid grasp of software engineering best practices. -Strong understanding of data structures, model evaluation, and experiment design. -Experience with data visualisation tools and communicating insights effectively. -Familiarity with MLOps frameworks, CI/CD pipelines, and model deployment. -Good knowledge of cloud-based data platforms (e.g. AWS, Databricks, Azure) -Knowledge of data governance and ethical AI principles. -Excellent communication skills, with the ability to translate technical results into business impact. -The ability to explain, brainstorm, present, simplify, clarify, prioritise, document, listen, negotiate and compromise. -Your own unique style or way of working, which will make our team diverse and original. Why Travelex? To remain the world’s leading foreign exchange specialist, we are focused on making our customers’ lives simpler, more engaging and hassle free while they travel or move money abroad. We promise to give them the freedom and peace of mind to explore the world, their way – enabling them to travel confidently because they know they have us to lean on. Customer centricity and digital are at the heart of our business strategy. Our commitment to innovation has never been greater, with the development of a number of digital-first, greenfield products and services. And with the Travelex's resources, deep industry experience and leading brand we are inventing the future of FX, cross-border e-commerce and international payments. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

AI Strategy & Digital Transformation Leader Based in London Permanent role We are seeking a high-calibre leader to fill a vacancy within our clients Digital & Technology Services leadership team. This role is designed for a "builder-strategist", someone who can not only architect sophisticated AI and technology strategies but also convert those strategies into multi-million-pound consulting engagements. You will act as a trusted advisor to C-suite executives and Private Equity boards, guiding them through the complexities of agentic AI adoption, enterprise systems optimization, and operating model disruption. The ideal candidate possesses a rare blend of commercial acumen, senior stakeholder influence, and deep technical fluency capable of bridging the gap between board-level business goals and solution architecture. Key Responsibilities 1. Business & Practice Development • Revenue Generation: Jointly own and drive a significant revenue target for the practice, identifying and securing strategic AI advisory engagements., • GTM Strategy: Define and execute go-to-market strategies for AI/ML service lines, spanning advisory, agentic systems, and decision science., • Commercial Innovation: Develop innovative commercial models, including risk-based contracting and IP licensing for proprietary AI accelerators., • Ecosystem Management: Cultivate and negotiate strategic partnerships with cloud hyperscalers and AI technology vendours to create joint value offerings. 2. Strategic Advisory & Stakeholder Communication • C-Suite Partnering: Serve as a "Trusted Advisor" to CEOs, COOs, and Boards, translating complex AI paradigms into tangible business value and competitive advantage., • PE Value Creation: Advise Private Equity firms on technical due diligence and rapid value-creation strategies for portfolio companies., • Thought Leadership: Represent the firm at technology conferences and industry forums, contributing to the global dialogue on AI innovation and enterprise transformation. 3. Technical Strategy & Solution Architecture • AI Architecture: Architect enterprise-wide AI strategies, including agentic AI adoption frameworks that reshape cloud economics and infrastructure., • Modernisation & Cost Optimisation: Design technology roadmaps that optimize legacy systems costs (IT transformation) while future-proofing for AI-native environments., • Specialised Methodologies: Oversee the delivery of advanced technical solutions, such as causal machine learning, probabilistic forecasting, and graph-based algorithms., • Governance & Risk: Establish robust AI governance frameworks and risk management protocols for regulated industries (e.g., Financial Services, Pharma, Energy). 4. Team Leadership & Capability Building • Scaling Practices: Help build and scale high-performing AI/ML teams, overseeing talent acquisition and skills development., • Operational Excellence: Define organizational readiness models and "automation-first" approaches to reduce operational costs and improve delivery scalability. Required Competencies & Experience • Experience: Extensive experience in technology strategy, with a proven track record of architecting AI-enabled enterprise transformations., • Technical Breadth: Deep understanding of LLMs, agentic systems, predictive analytics, and DevOps/SRE practices., • Communication: Exceptional ability to navigate organisational dynamics and drive consensus for high-stakes technology investments.

Senior GenAI Platform Engineer / Senior AI/ML Platform Engineer Hybrid – London A rapidly scaling AI innovator is searching for an exceptional Senior GenAI / AI‑ML Platform Engineer to play a pivotal role in shaping and advancing their next‑generation intelligence platform. This organisation is building high‑performance, real‑time AI systems that support demanding financial and enterprise clients globally, and this position sits at the heart of their most advanced technical developments. The Role As a senior member of the platform engineering team, you will architect, build, and optimise the underlying infrastructure that powers cutting‑edge GenAI and machine learning workloads. This includes large‑scale model deployment, distributed systems design, high‑throughput data processing, and the creation of robust frameworks that enable rapid experimentation, safe iteration, and reliable productionisation of LLM‑ and ML‑driven features. This role is ideal for someone who thrives in fast‑moving environments, enjoys deep technical problem‑solving, and wants their work to have immediate real‑world impact. Responsibilities • Design and build scalable, production‑grade GenAI and ML platform components, • Develop infrastructure for training, fine‑tuning, evaluating, and deploying large models, • Create internal tooling enabling fast model experimentation and automated workflows, • Optimise and scale distributed systems and vector‑driven architectures, • Implement robust observability, reliability, and performance engineering practices, • Collaborate closely with data scientists, ML engineers, and product teams, • Champion platform best practices, architectural improvements, and automation What You’ll Bring • Extensive experience building and deploying distributed ML or LLM systems, • Expertise in Python, cloud platforms (AWS/GCP/Azure), and Kubernetes, • Strong knowledge of MLOps, model orchestration, and CI/CD for AI systems, • Background in embeddings, vector databases, LLM fine‑tuning, or inference optimisation, • Ability to balance high‑level architectural thinking with hands‑on engineering, • A mindset focused on performance, reliability, and scalability What’s On Offer • A chance to help define the technical direction of a rapidly growing AI product, • Complex technical challenges with direct impact, • Hybrid London working f you enjoy solving deep technical problems and want to build the infrastructure behind next‑generation AI intelligence systems, this is an opportunity worth exploring.

World-leading, advanced data and analytics AI platform is searching for a Technical Adoption Consultant – EMEA to join their growing team in London. This role will serve as a trusted advisor for customer accounts, helping them maximise the potential of this AI and Data Products Platform, maximising its potential. In this role, you’ll collaborate closely with customer teams to drive the adoption and successful implementation of the platform, from conception through delivery. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock valuable insights, optimise performance, and automate business processes will also be a part of this role. We’re looking for a high achiever that will be seen as a trusted advisor to core customers, delivering exceptional client satisfaction through successful engagements. Responsibilities Customer Engagement and Enablement: • Act as a trusted advisor for named customer accounts, ensuring they fully leverage the company’s AI and Data capabilities, • Collaborate with customer teams to enhance their implementation administration, • Conduct webinars, training sessions, and Art of the Possible workshops to showcase platform potential, • Help customers uncover new use cases and drive adoption across their teams., • Translate key business requirements into effective solutions that drive customer value, • Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks, • Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation, • Develop and optimise data models, ETL processes, Workflows and dashboards within the platform, • Provide best practices for analytics pipelines, integration strategies, performance optimisation and data governance and AI readiness, • Leverage AI capabilities within the platform and integrate external AI tools and LLMs to enhance data insights, automation, and predictive analytics, • Advanced pro code app development and customisation (beneficial) using JavaScript, HTML, and CSS for enhanced user experiences to extend dashboard functionality. Qualifications • A STEM degree (or equivalent) from a top-tier university, • 5+ years’ experience in a technical, data-focused, and customer-facing consulting role, • Proficiency with business intelligence platforms (e.g. Tableau, Looker, Power BI)., • Strong skills in SQL and Python for data modelling, integrations, and process automation, • Hands-on use of APIs, including constructing calls in Postman, • Familiarity with AI technologies, including LLMs, AI agents and external AI tools, to enhance data insights, automation, and predictive analytics, • Deep understanding of at least one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB), • Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery, • Proven ability to manage technical project delivery, including scoping, planning, and risk assessment, • Strong organisational skills to oversee multiple concurrent customer projects, • Adaptability to shifting customer requirements and priorities, • Excellent problem-solving skills, creativity, and a strategic mindset, • Ability to build strong relationships as a trusted advisor, ensuring technical, business and senior stakeholders stay informed and satisfied, • Clear and effective communication skills, translating technical concepts for non-technical, • audiences, • Proficiency with JavaScript, HTML, and CSS for building front-end applications, • Knowledge of large ERP systems (SAP, Oracle, Microsoft Dynamics, NetSuite, etc.)., • Vertical or subject matter expertise across Marketing, Finance, Sales Operations, Manufacturing, Supply Chain, etc)., • Familiarity with Security frameworks (e.g., JWT, OATH2) Benefits • A generous compensation/OTE package on offer, • Stock options, • An excellent benefits package, • Private healthcare / dental, • Meritocratic working environment and strong career progression opportunities, • A fast growth, exciting business with an open and inclusive culture, • Continuous learning and development, • Great offices and flexible working This position is open to candidates eligible to work in the United Kingdom. Sponsorship is not on offer at this time. -- About us We're a dedicated recruiter bringing together the brightest talent with organisations creating cutting-edge technology to change the world for the better. We partner with technology providers at the forefront of meaningful innovation. And we’re here for talented individuals who are passionate about using their skills to drive positive change. Mind Detect provides exceptional recruitment services to businesses who are leading the way in Data, Machine Learning and AI-driven technologies throughout Europe, the US and Asia.

Lead Product Manager London, Hybrid Salary up to £110,000 This is a standout opportunity to shape the AI strategy for a major consumer platform entering a new phase of intelligent, personalised product development. You will play a pivotal role in introducing AI and machine learning across their ecosystem, driving meaningful impact for millions of users. The Company They are a fast‑growing consumer technology organisation with a mission to help people improve their financial futures. With a highly engaged customer base and a strong product reputation, they are now investing in advanced data and AI capabilities. The team is collaborative, forward‑thinking, and focused on delivering customer‑first innovation at scale. The Role As Lead Product Manager, you will guide how AI and machine learning enhance personalisation and decisioning across the platform. You will work strategically and cross‑functionally, shaping the roadmap and defining how intelligent experiences come to life. Key responsibilities include: • Leading discovery and strategy for AI and ML opportunities across the customer journey., • Defining how personalisation, intelligent decisioning, and automation elevate user experiences., • Owning the full product lifecycle from ideation through to delivery and optimisation., • Partnering with Data Science, Engineering, and Decisioning teams to shape what gets built., • Translating complex AI concepts into practical, user‑centred product decisions., • Creating scalable frameworks, hypotheses, and metrics for intelligent features., • Providing thought leadership within a product organisation building AI capability for the first time., • Influencing senior stakeholders on long‑term AI strategy. Your Skills and Experience You will bring: • Strong commercial experience in product management, including shipping AI or ML‑powered features., • Hands‑on experience with personalisation, recommendations, predictive guidance, or intelligent automation., • Ability to think system‑wide across customer journeys and design cohesive user experiences., • Proven end‑to‑end product ownership with a focus on measurable outcomes., • Skilled collaboration with engineering, data science, analytics, and leadership teams., • A strategic mindset and confidence operating autonomously in ambiguous spaces. Nice to have: • Experience within fintech or other regulated consumer products., • Exposure to responsible or ethical AI frameworks., • Background in large‑scale cross‑journey personalisation.

We are working with a growing consumer finance fintech platform, who are looking to build out their Data and Analytics department. The team, who have recently received backing from a global Investment firm are now building out a Data and Analytics team in London - with a focus on supporting their Unsecured NPL Portfolio Investment team. This role is ideal for a technically strong, quantitatively minded professional with a background in statistics and data science, looking to apply their skills in financial services. While specific NPL experience is not required, a passion for large-scale data analysis and modern analytics frameworks is essential. You will work in a neo-bank/fintech-style environment, using cutting-edge technology to analyze terabytes of data and support high-impact investment decisions. Responsibilities: • Develop, implement, and validate statistical and machine learning models for analysing non-performing loan portfolios., • Collaborate with cross-functional teams—including credit, collections, and data engineering—to translate business objectives into robust analytical solutions., • Build software using modern technology to enable investing and asset management at scale., • Apply Bayesian modelling and probabilistic programming techniques to address uncertainty and improve prediction accuracy., • Analyse large-scale datasets to identify key drivers, trends, and early warning signals within NPL portfolios., • Clearly communicate model results, insights, and recommendations to stakeholders, including both technical and non-technical audiences., • Stay current with advances in statistical modelling, machine learning, and data science, continuously evaluating and integrating new techniques and tools. Requirements: • University degree in a STEM field (e.g., Mathematics, Statistics, Computer Science, Engineering, Physics, Economics); advanced degree preferred., • Strong expertise in statistical modelling, Bayesian inference, and machine learning., • Proficient in Python (using libraries such as NumPy, pandas, scikit-learn, PyMC or Stan), • Experienced in SQL. Ability to write efficient and robust queries., • Demonstrated experience working with large and complex datasets., • Ability to communicate complex analytical concepts clearly and effectively to a range of audiences., • Experience with model governance, documentation, and deployment best practices., • Experience with cloud environments (e.g., AWS Sagemaker)., • Experience with collaborative development tools (e.g., Git, JIRA) is a plus., • Prior experience in financial services, banking, or credit risk modelling is beneficial., • 5-8 years experience in a Data/Analytics role, ideally within a Financial Institution Why This Role • Opportunity to build an analytics function from the ground up in a cutting-edge, entrepreneurial environment., • Work with massive datasets and modern tools at the forefront of fintech innovation., • High-impact role directly contributing to investment and portfolio decision-making.

Senior Computational Scientist (Single-Cell + Machine Learning) We are searching for a Senior Computational Scientist with deep, hands-on single-cell expertise to help translate cutting-edge AI models into impactful discovery and translational workflows. This role sits at the intersection of single-cell biology, machine learning, and applied computational research, with direct influence on how next-generation foundation models are evaluated and deployed. You will partner closely with research scientists, ML engineers, product teams, and external collaborators to turn advanced single-cell methods into actionable insights for real-world drug discovery and translational use cases. This is a senior IC position with the opportunity to grow into management as the team scales. What You’ll Do • Lead scientific strategy and execution for evaluating and applying foundation models to single-cell and multi-omics datasets., • Develop, adapt, and benchmark single-cell workflows, including integration, perturb-seq analysis, and advanced multi-modal pipelines., • Collaborate with research and ML teams to design experiments and rapidly iterate from prototype to insight., • Work closely with Product and Business Development to translate complex biology + ML capabilities into customer-facing deliverables., • Mentor junior scientists and contribute to shaping the culture and scientific standards of a growing computational biology team., • Bring strong scientific judgment to ensure modeling work remains grounded in translational biology and drug development needs. What We’re Looking For • PhD in Computational Biology, Bioinformatics, Machine Learning, or a related field with a strong single-cell focus, and 2+ years of industry experience; or MSc with 5+ years of relevant industry experience., • Deep, hands-on experience with single-cell technologies (integration, perturb-seq, multiome, advanced workflows)., • Strong understanding of modern ML/AI approaches for biological data, such as transformers, VAEs, diffusion models, or classical ML methods., • Proficiency with ML frameworks like PyTorch (or equivalent)., • Excellent communication skills with the ability to explain complex science to diverse technical and non-technical audiences., • Comfortable working in a fast-paced, iterative environment., • Passionate about building at the intersection of biology, machine learning, and real-world translational impact.

About the Role: Grade Level (for internal use): 15 The Team The Enterprise Solutions Technology team is dedicated to delivering next-generation, high-scale technology platforms through resilient architecture, data excellence, and engineering innovation. Our mission is to enhance our digital presence and improve customer engagement across various domains, including Lending, Corporate Actions, Tax, Regulatory & Compliance, Regulatory Reporting, Public Markets, and Private Markets portfolio monitoring. Role We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This is a strategy-led and hands-on applied data science and ML engineering role, responsible for defining the AI/ML roadmap for Enterprise Solutions while also building high-rigor analytical and predictive models for anomaly detection, variance analysis, drift detection, market and behavioral signals, forecasting, and prediction. The expectation is production-grade models, comparable in rigor to fraud, risk, or surveillance systems. What's In for you : The role exists to ensure AI/ML strategy is sound and that analytical models are correct, explainable, reliable in production, and able to withstand operational and regulatory scrutiny. You will work closely with engineering, data platform, and product teams to take models from problem definition through to production operation, including feature engineering, back-testing, deployment, monitoring, and ongoing performance management. You will get involved early in complex or high-risk analytical problems and step in when models degrade or fail in production. A key part of the role is knowing when to apply advanced modelling, when simpler approaches are sufficient, and when modelling is not appropriate. You may have limited line management responsibility, but impact is driven primarily through hands-on technical contribution, review, and influence. Responsibilities: • Strong experience delivering applied data science and machine learning in production within banking, capital markets, or similarly regulated, data-intensive environments., • Deep grounding in statistics, machine learning, time-series analysis, and predictive modelling, with experience building models under real operational constraints., • Hands-on ownership of the full model lifecycle: data exploration, feature engineering, model development, back-testing, validation, deployment, monitoring, and ongoing tuning., • Extensive experience working with large, complex, and imperfect datasets, including missing data, outliers, regime changes, noisy labels, and evolving schemas., • Strong understanding of production ML system design, including batch vs real-time inference, model serving patterns, performance trade-offs, and failure modes., • Experience operating models in production over time, including versioning, drift detection, retraining strategies, and incident response when models misbehave., • Practical experience designing explainable models suitable for regulated environments, including feature attribution and model transparency techniques., • Experience combining statistical models, ML, semantic models, and rules-based logic where needed to achieve accuracy, stability, and explainability., • Strong focus on data quality, anomaly detection, and monitoring, including metrics that surface real issues and drive sustained improvement. Experience & Mindset, • 20+ years working with analytics, data science, or ML systems in production, with significant experience in financial services or other regulated, high-availability domains., • Comfortable working directly with data, models, and code, and collaborating closely with software engineers and platform teams., • Pragmatic and outcome-driven; measures success by models that run reliably in production, adapt to changing conditions, and withstand scrutiny., • Clear communicator who can explain modelling choices, assumptions, and limitations to engineers, product partners, and senior stakeholders., • Acts as a technical mentor to other data scientists through review, pairing, and example, limited people management where appropriate. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: • Health & Wellness: Health care coverage designed for the mind and body., • Flexible Downtime: Generous time off helps keep you energized for your time on., • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills., • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs., • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:" "and your request will be forwarded to the appropriate person." US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf " describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH102 - Senior Management (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

Senior Scientist – Computational Biology / Machine Learning Hybrid | Full Time London, United Kingdom Overview We are seeking a Senior Computational Scientist to help translate advanced machine learning models into impactful, real-world discovery workflows. In this role, you will provide scientific leadership across model evaluation and applied biological use cases, ensuring research remains grounded in the most relevant challenges in drug discovery and translational research. This position sits within a growing computational biology team and reports into the Head of Computational Biology. You will join as a senior individual contributor, with the opportunity to take on management responsibilities as the team expands. You will act as a key scientific partner to research teams, support and mentor junior scientists, and collaborate closely with product and commercial teams to translate cutting-edge biology and machine learning into solutions that deliver real value for customers. Key Responsibilities • Lead evaluation and application of machine learning models for biological discovery workflows, • Apply advanced ML methods to complex biological datasets, particularly single-cell and omics data, • Partner with research teams to translate model outputs into meaningful biological insights, • Collaborate with product and business teams to shape deliverables and real-world applications, • Mentor junior scientists and contribute to the growth of the computational biology function, • Operate in a fast-moving environment, iterating quickly from prototype to experiment to insight Requirements • PhD in Computational Biology, Machine Learning, Bioinformatics, or a related field with a focus on single-cell and machine learning, plus 2+ years industry experience, OR, • MSc in a relevant field with 5+ years industry experience applying machine learning to single-cell or omics datasets, • Strong understanding of machine learning approaches for biological data, including methods such as transformers, VAEs, diffusion models, and classical ML, • Hands-on experience using modern ML frameworks such as PyTorch (or similar), • Strong communication skills with the ability to translate complex scientific concepts for both technical and non-technical audiences, • Comfortable working in fast-paced, iterative research environments, • Passion for working at the intersection of biology and machine learning

AI Product Manager • £90,000 – £110,000 + 20% performance bonus, • London - Predominantly home-based, • Global AI SaaS company About the Company We are working with a rapidly scaling AI software business that is transforming how global retailers optimise their digital advertising performance. In just a few years, the company has grown from an early-stage start-up in 2024 to more than $20M ARR, with ambitious plans to reach $50M+ revenue in the near future. With a strong engineering base and significant investment in data science and machine learning, the organisation is building next-generation AI tools that help businesses make smarter commercial decisions. About the Role As part of this expansion, they are now hiring their first London-based AI Product Manager focused on supporting European growth while shaping new AI-driven product capabilities. The AI Product Manager will act as the bridge between customers, engineers, and commercial teams, ensuring new AI products solve real market challenges while delivering measurable value. You Will Need • Proven Product Manager experience delivering complex SaaS or technical platforms, preferably in a startup, • Strong communication skills with the ability to work across global teams remotely, • Experience collaborating closely with engineering and data teams. Curiosity around AI tools, experimentation, or personal side projects using AI, • Amazon's ad experience would be advantageous, • You can speak Mandarin Why You’ll Love It • Join a company growing rapidly with plans to double or triple revenue, • Work at the forefront of AI-driven software and emerging agentic technologies, • Collaborate with a highly skilled global engineering and data science team, • Predominantly remote working with flexibility and occasional collaboration time, • Competitive salary plus 20% performance bonus Apply today to grow your career with a forward-thinking employer committed to equal opportunity. We are committed to promoting equality of opportunity for all employees and job applicants. In line with the Equality Act 2010, we strive to create and maintain a working environment in which everyone is able to make the best use of their skills, free from discrimination or harassment, and in which all decisions are based on merit. Due to a high number of applicants, we are only able to respond to successful candidates

Principal Data Scientist London - UK- WIDE TRAVEL EXPECTED If you’re a hands-on Data Science / AI specialist who loves solving real operational problems, this role puts you right at the heart of client delivery. You’ll shape the problems, design and build the solutions, and see your models deployed into live environments – not parked as endless POCs. THE COMPANY This fast-growing consulting firm helps organisations across the public sector, defence and commercial markets deliver measurable improvements in performance through data, AI and digital solutions. They are building a modern AI & Digital capability that sits at the front of transformation programmes, working shoulder-to-shoulder with clients on their toughest operational challenges. THE ROLE As a Principal Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building. • Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements, • Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models end-to-end, • Leading technical workstreams, managing small teams and ensuring projects are delivered on time and to a high standard, • Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders, • Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics YOUR SKILLS & EXPERIENCE • Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples of end-to-end delivery, • Proven ability to shape, not just execute: from defining the problem and designing the solution, through to delivery and measurement of impact, • Consulting capability – comfortable running client workshops, identifying opportunities, influencing senior stakeholders and supporting pitches, • Evidence of measurable commercial or operational impact (e.g. revenue growth, cost reduction, efficiency gains, service improvement), • Hands-on experience building models and turning prototypes into robust, production-ready solutions, • Experience leading teams or technical workstreams in a project environment, • UK citizenship (for security clearance purposes) and willingness to travel across the UK 2–3 days per week, depending on client needs Nice-to-have experience: • Background in a consulting environment or a high-performing in-house DS/AI team, • Exposure to sectors such as defence, public sector and consumer/retail, • Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential), • A mix of technical, product and operational experience – comfortable talking both code and business outcome

Managing Recruitment Consultant – Contract Desk – US/New York – Video Tech & OTT Central London – Hybrid Competitive base salary + uncapped commission up to 40% We’re looking for an experienced 360 Recruitment Consultant to join our team at 5V Video, with a minimum of two years’ experience and consistent track record of billings in any niche tech recruitment vertical. You’ll be stepping into a fast-paced, high-growth desk focusing on the US market - specifically New York, and will specialise in video tech & OTT, a rapidly evolving software space. We’re looking for someone who is confident managing the full recruitment cycle, proactive in business development, and excited by the opportunity to build and scale a niche market. If you thrive in a consultative, tech-driven environment and are motivated by autonomy and growth, we’d love to speak with you. This role is designed to evolve as the business grows. You will have the opportunity to manage and mentor other recruitment consultants, shaping a high-performing team. Additionally, as the business expands, high-performing consultants will be relocated to New York within a year, with flights and visas arranged, so we’re looking for someone ready to embrace this exciting international opportunity. Who We Are We’re 5Values Consulting Group, a people-first recruitment consultancy and media house, powering some of the world’s most innovative tech and content brands. We lead with our values - Inclusive | Sustainable | Attentive | Authentic | Considerate - and we mean it. We’re made up of three specialist brands: • 5V Video – We work with the world’s leading video tech and OTT companies, building teams that power the technology behind today’s biggest streaming and connected TV platforms. From video playback and STB development to next-generation streaming infrastructure, our consultants help shape the future of entertainment., • 5V Tech – We partner with global innovators in AI, Semiconductors, Machine Learning, Cloud, Edge Computing, and Robotics, helping them scale elite engineering and technical teams. Our work connects the people building the future of technology, from embedded software to intelligent hardware, across the US, Europe, and beyond., • 5V Media – Our in-house marketing and media arm brings the industry to life through content. From The IoT Podcast and Playback Pioneers to The Movers and Shakers Report and The Media and Entertainment Mixer, we create thought leadership, podcasts, and events that amplify innovation, tell authentic stories, and connect communities across tech. Why Are We Hiring? We’re growing fast and expanding our Contract and Perm division. We’re looking for an experienced Recruitment Consultant who’s passionate about tech, thrives in a fast-paced environment, and wants to become a recognised specialist in a cutting-edge industry. This is a great opportunity for an experienced & high performing recruiter who is ready to elevate their career, working alongside a supportive, driven team within one of the UK’s leading tech recruitment consultancies. What You’ll Be Doing • Building and nurturing relationships with new and existing clients, • Establishing yourself as an industry specialist, • Managing the full 360 recruitment cycle across contract roles in tech, • Sourcing top-tier talent through networking, LinkedIn, and referrals, • Taking part in industry events, podcasts, and international conferences, • Building elite talent pools within your industry specialism, • 360 recruitment experience, • Resilient, ambitious, and target-driven, • Excellent communicator with strong relationship-building skills, • Organised and proactive, able to manage multiple projects, • A true team player who brings energy and drive to everything they do Here’s what life at 5Values looks like: • Uncapped commission (up to 33% Perm, 40% Contract, no minimum threshold), • 29+ days holiday (increases to 32 with tenure) + all bank holidays, • Up to 2x extra paid days off per year, • Fully paid gym membership via Hussle +, • International Travel Opportunities, • Up to 3 months paid sabbatical after 5 years of service, • £1,000 annual personal development fund, • Tailored career progression from Trainee to Director level, • Monthly lunch clubs, sales days and team trips, • Annual Profit Share bonus, • Yearly company trip abroad, • Wellbeing support via YuLife and a health cashback plan, • £25 salon treatments every 6 weeks Ready to Join Us? If you’re ready to take ownership of your career, make an impact in the tech space, and work with a team that genuinely lives its values - we’d love to hear from you. Apply now or drop us a message.

SDR Opportunity AI / SaaS Startup London £35K + £15K OTE I’m currently working with one of the more exciting AI startups in London right now. They’re building technology that helps companies understand and grow revenue from their existing customers using AI and machine learning. In simple terms: helping businesses predict revenue more accurately, improve customer loyalty, and unlock value from the customers they already have. They’re still early enough for people joining to have a real impact, but the foundations are strong. They’re a Series A company, backed by some of the best venture investors in Europe and the US, and have already landed a number of high-growth companies as customers. They’ve also recently been recognised among Europe’s fastest-growing startups. What the role looks like - As an SDR, you’ll sit at the front of the sales engine. You’ll be the first person prospects speak to and the one responsible for opening the door to new opportunities. Day-to-day that means: • Reaching out to potential customers through cold calls, email and LinkedIn, • Starting conversations with senior stakeholders at fast-growing companies, • Understanding their challenges and identifying where the product can genuinely help, • Qualifying opportunities and booking meetings for the Account Executive team, • Learning how to build and manage a healthy pipeline You’ll also work closely with marketing, product and the wider sales team to share feedback from conversations with the market. They take development seriously, too, expect structured sales training, coaching and mentorship from experienced operators. Who they’re looking for: This role tends to work well for people who are serious about building a career in sales, rather than just testing it out. Typically, the people who succeed here are: • Naturally driven and resilient - rejection doesn’t put you off for long, • Curious - you want to understand how businesses actually work, • Strong communicators - confident speaking to new people, • Competitive and motivated by growth (both career and earning potential), • Team-oriented - you care about the wider team succeeding too You don’t necessarily need direct sales experience, but you do need the mindset and ambition. Package - £35,000 base salary & £15,000 OTE Plus: • 27 days holiday + bank holidays (with option to buy/sell days), • Equity/stock options, • Private health insurance, • Monthly wellness allowance (gym, mental health, etc.), • Annual learning & development budget, • Hybrid working (3 days in the London office) It’s a great environment for someone who wants to learn sales properly, work with ambitious people, and progress quickly in a high-growth company. If you’re interested, feel free to reach out, and I can share more details about the team and the opportunity.

AI Architectural Designer at Contech Startup Central London, hybrid You are an architect who cannot stop thinking about AI, automation and how technology will transform the built environment. You may be at an early stage in your career, but you are hungry to experiment, prototype and build tools that make designing and delivering buildings smarter and more human centred. If that sounds like you, this contech startup could be the perfect home. The studio is a design-led technology company working at the intersection of architecture, construction and product design. You would join a small, ambitious team that blends architects, computational designers and software engineers, all focused on creating digital products that improve how spaces are conceived, evaluated and delivered. Responsibilities • Translate real-world architectural workflows into intelligent, digital tools, • Experiment with AI and machine learning to support design, feasibility and planning, • Help build and test early product features alongside engineers and product leads, • Prototype design interfaces, templates and automations for architects and developers, • Analyse spatial, planning and performance data to inform product decisions, • Present ideas, experiments and demos clearly to both technical and non technical stakeholders, • Contribute to a curious, collaborative, low ego culture where ideas are shared openly Skills • Education or experience in architecture or a closely related built environment discipline, • Genuine enthusiasm for AI, computational design and emerging technologies, • Confidence working with design and modelling tools such as Rhino, Grasshopper, Revit or similar, • Some exposure to scripting or coding, for example Python, C Sharp or visual scripting tools, • Ability to explain complex ideas simply, with a design mindset and user focus, • Comfort operating in a startup environment where you iterate quickly and learn in public, • A portfolio or set of examples that show how you think, not just finished visuals Benefits • Opportunity to help shape a new product from an early stage and see your ideas shipped, • Close collaboration with founders who have both architectural and tech experience, • Hybrid working pattern with time in a central workspace for collaboration, • Support for courses, conferences and self directed learning around AI and product, • Clear progression as the team grows, with the potential to define your own niche, • A culture that values experimentation, constructive feedback and work life balance If you are excited by the idea of blending architecture, AI and product in a growing startup, this could be the move that changes your career trajectory. If this sounds like you, get in touch to explore the role in confidence.

Location: London/Manchester/Edinburgh/Newcastle/Birmingham Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: As a team: The Data and AI revolution is changing everything. It’s everywhere – transforming how we work and play. Join Accenture and help transform leading organizations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will: Shape Customer and Marketing Experiences w/ Generative AI solutions: • Be at the forefront of the industry — creating, owning, and making it a reality for clients looking to better serve their connected customers and operate always-on enterprises., • Build essential data platforms, products, and capabilities that empower clients and colleagues., • Set and implement the strategic vision for Applied Intelligence’s data ecosystem, including data science and engineering., • Assess generative AI proposals, ensuring alignment with client needs, evaluating feasibility, stack compatibility, and build-vs-buy decisions., • Drive and implement real-world solutions into production that drive measurable business value for our clients., • Work alongside global teams to collaborate and deliver the best solutions for clients. Grow Your Expertise and Career • Become an integral part of our Applied Intelligence team with the credibility, expertise, and insight clients depend on., • Develop your skills with our world-class training programmes., • Drive your career progression through our structured career development programs., • Align with our industry partners to develop your career and the solutions we deliver for our clients. Collaborate with Global Brands • Work with famous brands and household names — no worrying about how to explain what you do to your family again!, • Design reusable assets, solutions and develop best practices for current and future business problems., • Consult on complex analyses and advanced machine learning methods., • Communicate and provide guidance to senior client leadership and teams., • Shape AI Strategy and the delivery of LLM based solutions., • Operate across multiple industries and functions., • Develop others by bringing your unique knowledge and skillsets to the wider practice. In this role you will: Define and Deliver Customer-Centric Data Strategies • Translate business needs into robust data solutions and own the data strategy, architecture, and engineering excellence within Applied Intelligence., • Work closely with teams and senior architects to define strategies for AI solutions, ensuring alignment with client needs for impactful and effective implementations., • Shape AI strategy and oversee the delivery of LLM-based solutions that enhance customer and marketing outcomes. Lead Generative AI Innovation and Prototyping • Architect early-stage generative AI initiatives, directing proof-of-concept (PoC) and prototype development in collaboration with teams., • Act as a subject matter expert on generative AI, providing guidance to cross-functional teams including digital, platform, and governance stakeholders. Deploy and Scale AI Solutions • Execute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment., • Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment., • Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI • Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications, ensuring ethical and secure AI deployment., • Evaluate generative AI solutions across teams, identifying technical risks such as debt accumulation and overlapping initiatives. Promote Innovation and Best Practices • Advocate for the adoption of cutting-edge data technologies and methodologies, including AI-driven data processing, machine learning pipelines, and automated data integration., • Design reusable assets, solutions, and develop best practices for current and future business problems., • Consult on complex analyses and advanced machine learning methods to solve challenging business problems. Lead Across Industries and Teams • Operate across multiple industries and business functions to deliver AI-driven customer and marketing transformations., • Communicate insights and provide strategic guidance to senior client leadership and internal teams., • Mentor and develop others by sharing your unique expertise and skillsets with the wider Applied Intelligence practice.

Pre Sales AI Architect £100,000-£115,000 base salary + £35,000 Bonus OTE + Benefits London - Flexible Working Across the UK Are you passionate about shaping AI opportunities before they’re built? Do you enjoy translating complex client challenges into compelling, technically robust AI solutions? We’re looking for a Pre-Sales AI Architect to lead AI solution design, shape high-quality tender responses, and scope transformative AI engagements across multiple industries. This is a high-impact, client-facing role where technical depth meets storytelling, commercial thinking, and strategic influence. As a Pre-Sales AI Architect, you will: • Bridge business challenges with scalable AI-powered solutions, • Lead technical responses for AI-related RFPs and competitive tenders, • Scope AI delivery programmes including effort, phases, risks, and assumptions, • Design end-to-end AI architectures across cloud platforms 🧠 What You’ll Be Doing 🔎 Shape & Scope AI Opportunities • Run discovery sessions with stakeholders, • Identify high-value AI use cases aligned to business drivers, • Define delivery phases, resource plans, timelines, and risk frameworks 🏗 Design AI Architectures • Translate requirements into scalable AI/ML solutions, • Design architectures covering:, • Model development, • Data pipelines, • MLOps and monitoring, • Cloud integration (Azure, AWS, or GCP), • Validate feasibility with engineering and delivery teams ✍️ Lead Tender & Bid Responses • Own technical sections of AI RFPs and RFIs, • Develop compelling solution narratives and architecture artefacts, • Define scope, assumptions, estimates, and governance approach, • Balance innovation with realistic delivery 📈 Articulate Value • Clearly communicate business impact and ROI, • Present complex AI solutions to both technical and non-technical audiences, • Showcase innovation in GenAI, Responsible AI, and emerging architectures (RAG, vector search, embeddings) ✅ What We’re Looking For • Proven experience in pre-sales, AI architecture, or technical bid writing, • Strong capability in scoping AI/ML programmes and estimating effort, • Deep understanding of:, • Machine learning (supervised & unsupervised), • Generative AI & LLMs, • Embeddings, vector databases, RAG, • MLOps and model lifecycle management, • Experience with platforms such as:, • Azure ML, AWS SageMaker, Google Vertex AI, • Databricks, LangChain, Hugging Face, • Ability to develop architecture artefacts (HLDs, solution diagrams, delivery models), • Exceptional writing, storytelling, and stakeholder engagement skills, • Experience in consultancy, systems integration, or AI solution environments is highly desirable, • Strong understanding of data governance, security, and ethical AI 🌍 Why Join? • Be at the forefront of AI transformation across sectors, • Influence high-value strategic deals, • Work with senior stakeholders on cutting-edge AI use cases, • Flexible and remote working options, • Strong focus on career progression, mentorship, and certifications, • Competitive benefits and wellbeing support

Industry: Designer toys and collectible pieces Location: Canary Wharf, London Job type: Full time Permanent About POP MART POP MART (09992.HK) is a leading global company in the trend culture and entertainment industry. Centered around IP, POP MART has built a comprehensive platform for creative incubation and IP operation, empowering global creators while delivering exciting products, services and immersive entertainment experiences to consumers. POP MART identifies and nurtures emerging artists and designers worldwide, creating popular character IPs through a well-established development and operation system. Our portfolio includes iconic characters such as MOLLY, SKULLPANDA, DIMOO, THE MONSTERS and Hirono. POP MART operates over 500 physical stores and more than 2,300 Robo Shops across more than thirty countries and regions, and through multiple cross border e commerce platforms reaches audiences in over ninety countries and regions, bringing joy to young consumers around the world. POP MART has developed a comprehensive IP commercialisation ecosystem that spans multiple industries, deepening emotional bonds between fans and IPs while exploring broader opportunities for value creation. Our ventures include the world’s first immersive intellectual property themed park in the art toy industry, the expansion of its IPs into global markets through licensing and co-branding with leading global brands, and the curation of art toy expos and intellectual property themed exhibitions internationally. In Europe, POP MART has built a strong presence in key markets including the United Kingdom, France, Italy, Germany, the Netherlands and Spain, and is expanding into new high potential markets. Our expansion brings POP MART closer to European fans and offers new ways for them to connect with our IPs and stories. For more information, please visit and our LinkedIn Career page. What to Expect POP MART is a fast-paced company with a young and multicultural team where you can expect to: • Contribute to a fast-growing European business that combines retail, art, and creative storytelling, • Work with passionate teams across different countries, all connected by a shared love for designer toys and unique customer experiences, • Grow your skills through hands-on projects, collaborative learning, and opportunities to explore new ideas Benefits POP MART offers our employees: • Monthly appreciation gifts featuring our latest POP MART designs, • A structured bonus scheme linked to both company and individual performance, • 25 days of annual leave, in addition to bank holidays, • 4x life insurance, together with group medical and travel insurance, • A confidential Employee Assistance Programme, alongside access to a discount platform for selected online retailers, • Training and development programmes, together with regular team events that encourage learning, collaboration, and celebration The Role and Candidate We are looking for a data driven and detail oriented professional to support business performance monitoring and analysis across POP MART’s European business. This role focuses on operational reporting, performance tracking, and business insight generation across key revenue channels, including physical stores, vending machines, and online business. You will support the business by monitoring core operational indicators, identifying trends and issues through data, and helping teams better understand performance through clear, accurate, and practical analysis. You will also work closely with teams including Finance, Retail Operations, Marketing, Merchandising, and Business Development to support regular reporting, operational reviews, and day to day data requests. In parallel, the role will contribute to improving reporting consistency, data quality, and the practical use of data in business operations. This position would suit someone with solid analytical capability, structured thinking, and a hands on approach, who is comfortable working with detailed data while supporting wider business needs in a fast paced environment. Responsibilities Daily Operation Monitoring and Performance Review • Establish daily, weekly and monthly monitoring for core operational indicators, including revenue, gross profit, expense ratio, payment collection, labour efficiency and store efficiency, across all revenue channels such as physical stores, vending machines and online business, • Prepare daily, weekly, monthly and quarterly operational reports in a timely manner, benchmark performance against budget, year on year and month on month data, and analyse the causes of performance gaps., • Track key business indicators including sales volume, average transaction value, conversion rate and profit margin, and provide regular operational analysis to support performance improvement, • Analyse the performance of different markets, stores and vending machines, identify trends and issues, and support the development of targeted actions to improve profitability, • Support the Business Development team with data input for store and vending machine site selection, based on market data and operational analysis., • Support monthly and quarterly operational review meetings by preparing review materials and presentations, highlighting business progress, key issues and improvement priorities, and tracking follow up actions., • Work closely with the Finance team to verify operational, cost and expense data, align statistical definitions, resolve data discrepancies, and ensure management reporting is accurate and reliable. Business Insights and Reporting • Work closely with business teams on a daily basis to understand key business pain points, and support practical data solutions based on business needs and operating scenarios, • Conduct data analysis across sales operations, marketing and consumer insights, identify the business logic behind the data, and provide insights to support business optimisation, • Improve the quality and depth of recurring insight reports by moving beyond data listing and strengthening business focused conclusions and recommendations, • Build and maintain structured data records and archives to support data traceability, consistency and reusability, • Extract and process data from multiple sources, including business systems, CRM and ERP systems, and use SQL for regular queries, data cleaning, deduplication, correlation and aggregation, • Build and maintain basic dashboards and automated reports to reduce manual reporting, improve data visibility, and support more efficient access to information Cross Functional Collaboration and Data Governance • Support Sales, Marketing, Product, Supply Chain, Finance and other teams with day to day data requests, including customised queries, report exports and basic analysis support, • Provide guidance to business teams on basic data viewing and analysis methods to improve the practical use of data in daily operations, • Support the standardisation of data fields, statistical rules and analysis templates, and help establish data logs and archiving practices to strengthen data governance, • Contribute to the development of a more consistent and practical data culture across the business Required Qualifications • 3-5 years of business analysis experience; candidates with experience in management consulting, internet business analysis, retail operations analysis, or other relevant analytical experience, or those with extensive professional experience are preferred, • Excellent communication and organizational skills, capable of handling complex issues with structured thinking and analytical abilities, • Proactive, hands-on, and entrepreneurial mindset with experience working in a fast-paced business environment, • Outstanding problem-solving, analytical, written and verbal communication skills, • Data-sensitive, able to identify business trends and issues through data analysis; proficiency in data analysis and visualization tools such as Excel, SQL, Tableau is preferred, but strong willingness to learn is a must, • Proficiency in English (listening, speaking, reading and writing), with extensive experience in cross-team project collaboration and communication If you are excited to be part of POP MART’s journey and believe you have the skills and passion to contribute, click Apply Now and send us your CV.

Founding AI Engineer | Early Stage AI Start-Up | London Founding AI Engineer required to join an extremely well funded, rapidly growing early-stage AI start-up with a world class founding team using AI to solve a real world problem. You’ll be one of the first technical hires, working directly with the founders to design, build, and deploy LLM-powered systems that meaningfully shape the product and the company. You are: • 2-6 years of professional experience, with strong software engineering fundamentals, • Proven hands-on experience building AI systems from scratch and deploying LLMs in production, • Proficiency in Python, • Academic Excellence: BSc, MSc or PhD in Computer Science, AI, Machine Learning, or related stem field from a top university, • Comfortable in chaos and thrive in fast paced environments Bonus points: • Experience as an early employee at a start-up, • Experience working closely with product or founders Why join? • Extremely competitive salary, meaningful equity, and benefits, • A genuine founding role with significant technical and product ownership, • Close collaboration with experienced, second-time founders who deeply understand the problem space, • Strong financial backing from top-tier investors, • The chance to help shape both the technology and culture from the ground up Looking to join early, play a key role, and build AI systems that solve real-world problems? Let’s chat. Founding AI Engineer | Early Stage AI Start-Up | London

A global leading technology player is looking to add a Senior Account Executive to their team selling their market leading e-invoicing SaaS as well as their indirect tax, tax compliance offering to the UKI market place The Role: As a senior account executive your will take responsibility for developing a region both in terms of new business generation whilst also looking for growth opportunities with a section of accounts you are given. Being able to offer a range of best of bread solutions for CFO’s and the office of finance in large corporations you will have access to offerings such as e-invoicing, AP and AR automation and technologies as well as a range of tax (both direct tax and indirect tax) and compliance-based offerings. The Company: Recognised as a true market leader in the office of finance world they have a range of solution utilizing AI and machine learning in order to help corporations with financial transformations projects. They have the most complete end to end offering you will find in the market and are continuing to develop further solutions to compliment their offering based on customer feedback of what they want / need. The Candidate: You will be a highly successful account executive with a track record of success within a new business focused senior account executive SaaS role in the UKI region. You will need to be able to demonstrate a successful track record of new business in the e-invoicing, AP automation or AR automation indirect tax software, direct tax software for a sustained period of time (3-5 years) targeting $1 billion plus organisations and have a track record of closing deals in excess of $100k order value. The Package: On offer is a very attractive package with a base salary of between £90,000-£96,000 base salary depending on experience, health and a uncapped commission plan of £150,000-£160,000 ote. h2 currently have over 100 hand-picked sales vacancies that cover all industries and all levels. For further career advice please don’t hesitate in making contact with the Sales Recruitment Specialists, or view our website to see more of the vacancies we currently have. Key Words Account Executive, new business sales, SaaS Account Executive, Account Manager, Sales Specialist SaaS, AI, Enterprise Software, Digital transformation, AI, ERP, Financial Management, AR Automation, AP Automation, Accounts receivables, accounts payable, e-invoicing, Indirect tax software, direct tax software, VAT software, global trade, cross border compliance, tax engine, making tax digital Large corporations, Mid-market, Enterprise, Corporate

Our client, a leading global strategy consultancy, is seeking a director level candidate, or highly experienced associate director / senior manager level professional looking to step up, with vast strategy, commercial excellence, data and data science experience, to join their specialised team focussed on solving pricing, revenue growth and profit optimisation problems for its clients. This team supports clients from a number of sectors including retail, leisure, consumer goods, healthcare, transport, industrial manufacturing and financial services sectors, however this role requires candidates with specialist TMT, private equity or industrials/manufacturing sector experience. International candidates who have built a career outside of the UK are welcome to apply for this role if they can demonstrate a strong record in business development / client wins. Role and responsibilities: Leadership and Team Management: • Lead a team of pricing consultants and analysts, ensuring high performance and development of talent., • Drive strategic direction for pricing projects, managing multiple engagements simultaneously., • Collaborate with cross-functional teams (e.g., customer strategy, performance strategy teams, etc.) to develop comprehensive pricing solutions. Client Engagement and Relationship Building: • Serve as the primary point of contact for senior client stakeholders (C-level executives), developing and maintaining strong relationships., • Lead discussions with clients to understand their business goals, challenges, and pricing needs., • Present complex pricing strategies, recommendations, and insights in a clear and actionable way to clients., • Identify new business opportunities and assist in securing future client engagements. Strategic Pricing Solutions Development: • Design and implement pricing strategies that optimise revenue, profitability, and market share, while aligning with client objectives., • Develop and refine pricing models using advanced analytics, market research, and competitor analysis., • Lead the evaluation of different pricing approaches (e.g., value-based pricing, dynamic pricing, cost-plus pricing) and recommend appropriate solutions. Project Management: • Manage project delivery from inception to completion, ensuring milestones are met within timelines and budgets., • Oversee the creation of project plans, models, and deliverables., • Ensure quality control and that deliverables meet client expectations and Firm standards. Anticipate risks and develop mitigation strategies Data-Driven Analysis and Insights: • Leverage data analytics, AI, and machine learning tools to drive pricing strategy insights., • Analyse client data, market conditions, and customer behaviour to inform pricing decisions., • Build and interpret financial models to assess the impact of pricing changes on client profitability and performance. Collaboration with Senior Leadership: • Work closely with partners and other directors to align pricing strategy services with the overall growth and goals of the firm., • Support in the development and execution of business development strategies to grow the pricing advisory practice., • Contribute to annual budgeting and forecasting for the pricing strategy team. Candidate requirements: • Demonstrable pricing strategy experience working in a leading strategy house, Big 4 firm, specialist boutique consultancy or pricing, revenue growth or strategy team in industry., • Detailed understanding of the value drivers within corporate and / or private equity clients., • Track record of leading high-value complex projects with multi-disciplinary teams in a consulting or corporate environment., • Experience of managing or supporting high-value business development activities with C-level stakeholders., • Demonstrable ability to build and commercialise relationships with senior executives., • Ability and track record of commercialising relationships., • Structured thinking skills combined with creativity., • Ability to talk credibly with C-level clients on the key issues and strategic considerations facing their industry., • Ability to evaluate complex challenges and deliver insightful recommendations that can be practically executed., • Strong numerical and analytical capabilities combined with sound commercial acumen., • Excellent English written and oral communication skills., • Other major European language skills e.g. French and German would be a strong bonus., • A first class or 2.1 degree in quantitative/analytical studies such as economics, maths, statistics, physics, engineering or equivalent is a definite plus. Cambridge Credentials: adding people....adding value

Senior Recruiter - AI / Machine Learning We are a research-driven technology recruitment firm with a track-record for placing world-class Technologists and Mathematicians into some of the most prestigious Hedge Funds and Quantitative Trading Firms globally. We’re looking for a Senior AI Recruiter to drive the expansion of our AI Practice. This is an opportunity for a seasoned recruiter with a demonstrable track record, strong business acumen, and the ambition to help build and scale an organisation. You’ll work directly with the Co-Founders to develop the infrastructure, strategy, and resources needed to grow this division. What You’ll Bring • 2+ years of recruitment experience with a proven record of top performance, • Ability to lead projects from inception to completion, • Strong problem-solving skills and tech-savvy mindset, • Fast learner with a drive for continuous improvement, • Genuine interest in AI and emerging technologies What’s on Offer • A team committed to building a best-in-class business - no compromises, • Investment, infrastructure, and platform support for your growth, • High visibility and autonomy to make a real impact, • Transparent, open, and collaborative environment, • Hybrid working model If you’re ready to shape the future of recruitment with AI at its core, apply now or get in touch to learn more.