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We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

As a Lead IT Architect , you will work closely with clients to understand their issues, define IT strategies and architecture solutions, win buy-in for your recommendations, and collaborate with fellow BCGers to transform client potential into performance. All qualified applicants will receive consi

Locations: London | Amsterdam | Brussels Who We Are Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. About BCG Platinion BCG Platinion's presence spans across the globe, with offices in Asia, Europe, and South and North America. We achieve digital excellence for clients with sustained solutions to the most complex and time-sensitive challenge. We guide clients into the future to push the status quo, overcome tech limitations, and enable our clients to go further in their digital journeys than what has ever been possible in the past. At BCG Platinion, we deliver business value through the innovative use of technology at a rapid pace. We roll up our sleeves to transform business, revolutionize approaches, satisfy customers, and change the game through Architecture, Cybersecurity, Digital Transformation, Enterprise Application and Risk functions. We balance vision with a pragmatic path to change transforming strategies into leading-edge tech platforms, at scale. What You'll Do At BCG Platinion we're keen to engage with experienced, passionate and creative IT Architects who will help us unlock our client's digital potential and ignite change. In particular we are looking for architects that have domain knowledge on the Insurance sector to work with our insurance clients. We will also consider applications from other domains providing that are willing to learn and develop their skills within the Insurance sector. Meaningful work is at the core of everything we do. We build unique solutions to the complexities our clients face, while providing our people with opportunities to explore and grow. A community of leading experts, BCG Platinion team members have a natural springboard for professional growth and deeper opportunities to excel. As a Lead IT Architect , you will work closely with clients to understand their issues, define IT strategies, architecture solutions, win buy-in for your recommendations, and collaborate with fellow BCGers to transform client potential into performance. You will be given end-to-end responsibility for larger, highly technical and more complex 'modules' within a project, and begin to develop specialized knowledge to help you solve clients' problems. You will start to take on team lead responsibilities and demonstrate intellectual leadership Together with our clients, you will develop superior digital and technology concepts and architecture solutions as well as support technical implementations actively and on site, applying your sound technical know-how, your understanding of business contexts, and your analytical and conceptual skills. You will also help guide junior members of the team, help with project proposals, client care, building relationships with peers and identifying new business opportunities. Finally as a Lead IT Architect you will contribute to the Practice Area development and help to build the BCG brand as a key member of the case team. What You'll Bring • 10 to 15 years' experience in software development, technical project management, digital delivery or technology consulting., • Prior IT consulting experience is a must with management experience., • Experience of working in the insurance technology market with knowledge on core insurance processes and packages such as Guidewire, Duck Creek or DXC Graphtalk AIA, Sapiens, Keylane or SAP Insurance., • Experience of working on core systems modernisation (such as Policy administration, claims systems or underwriting/pricing) and regulatory reporting (Solvency II or IFRS 17), • Technical expertise working with Data and Cloud technologies., • Overview of common development methods and tools DevOps practices and Continuous Improvement, • Ability to balance dogmatism and pragmatism to guide decision making. Articulate trade-offs and drive high-impact technology decisions on topics including (but not limited to) IaaS/PaaS providers, container orchestration, service mesh, API gateways, and commercial vs. open source software., • Approaches to managing Architectural debt, Architecture governance and evolution in practice, • Micro services topologies, including operational concerns such as resiliency, observability, discovery and routing, security etc., • Have experience with, and understand how to lead, legacy integration and remediation (facades, strangler approaches, et. al.)., • Deep understanding of different integration patterns and best practices such as events, synchronous vs. asynchronous., • Ability to work under pressure and willingness to travel to clients world-wide., • For candidates based in London: Fluent in English., • For candidates based in the Netherlands: Fluent in English; Dutch is highly desirable., • For candidates based in Belgium: Fluent in English, with French or Flemish as an additional requirement., • University degree with above-average academic performance in a mathematical-scientific field, information technology, or business administration. Additional info Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Lead Architect • Job Type: Full-Time, Permanent, • Location: Hybrid, 3 days a week onsite in Clapham Junction, • Hours: 40 per week A new exciting permanent opportunity has become available for an experienced Lead Architect, to join an UK leading gym group where you will play a pivotal role in shaping the architectural blueprint that enables their technology vision. Reporting directly to the CTO and leading a team of Solution Architects, Technical Architects, System Analysts, and Solution Designers, you will be responsible for maintaining robust and comprehensive documentation of current and target states across their technology landscape. This strategic and hands-on role involves setting architectural vision, enabling scale, and ensuring technical excellence in execution. Day-to-day of the role: • Own and evolve the enterprise architecture blueprint, reference architectures, and target state definitions., • Shape architecture principles and governance, driving alignment across business, data, applications, infrastructure, and security., • Lead technical decision-making across the cloud platform including 3rd party integrations., • Act as the senior technical voice in executive and programme-level forums, influencing both strategic investments and day-to-day designs., • Drive architectural runway, risk management, and lifecycle planning to support growth, resilience, and innovation., • Foster architectural standards, documentation, and tooling adoption (e.g., C4, Archimate, UML, LeanIX). Required Skills & Qualifications: • Extensive hands-on experience in enterprise and solution architecture for large digital businesses i.e. subscriptions, memberships, platforms, • Building scalable distributed systems using modern architecture patterns., • Deep experience defining and managing architecture governance models, roadmaps, standards, and artefacts., • Strong influencing skills across senior business stakeholders, technology leadership, and delivery teams., • Proficiency in Microsoft Azure, including App Services, AKS, AAD, Event Hubs, API Management, etc., • Experience with high-concurrency, high-availability designs, fault tolerance, and auto-scaling patterns., • Solid understanding of Domain-Driven Design (DDD), Hexagonal Architecture, CQRS, and Event Sourcing., • Knowledge of regulatory and compliance frameworks: PCI DSS, ISO 27001, GDPR, PSD2, Cyber Essentials+., • Familiarity with architecture modelling platforms (LeanIX, BizzDesign, SparxEA) and use of modelling standards (UML, C4, BPMN, Archimate). Recruitment process: • 1st stage - call with the CTO, • 2nd stage - face to face interview completing a presentation, • 3rd stage - cultural fit Benefits: • Competitive salary and bonus scheme., • Gym membership and wellness benefits., • Flexible working options., • Opportunities to work on innovative products impacting thousands of members. To apply for the Lead Architect position, please submit your CV to be considered immediately.

Title: Azure Architect Type: Contract (Start ASAP) Day Rate: £430 PAYE (Negotiable) Location: Hybrid | London (2 days on site) Our client is currently looking for an experienced Azure Architect to support a large-scale programme. This is a great opportunity to join a well-established team delivering cloud-based solutions in a secure and regulated environment. Responsibilities • Lead the design and implementation of Azure cloud solutions, • Provide architectural guidance across cloud infrastructure and security, • Work closely with DevSecOps teams to support secure deployment practices, • Support Sitecore architecture and integrations, • Produce technical design documentation and solution proposals, • Collaborate with technical and business stakeholders throughout delivery Experience / Qualifications • Active SC Clearance required, • Strong experience working as an Azure Architect, • Hands-on experience with Microsoft Azure technologies, • Experience with Sitecore, • Good understanding of DevSecOps and cloud security principles, • Experience working within regulated environments is beneficial, • Strong communication and stakeholder management skills

About the role We are seeking a Python Developer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a Python Developer, you'll work across the entire technology stack from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Experience • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of API design principles, data validation, and serialisation, • Experience with AWS Lambda and serverless architectures What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

Rate: £550-£600 Outside IR35 Duration: 3 months initially, view to extend Location: London 1 day per week, 4 days remote (open to remote) Overview We are looking for a senior Network Architect for an engagement with a major financial services client. You will be an expert-level practitioner who is equally comfortable working at depth technically and presenting findings to senior executives. Both skills are essential for this engagement. What the Role Involves • Assess and document the current network estate across LAN, WAN, and Data Centre environments, • Identify fragmentation, technical debt, and architectural risk within the existing environment, • Produce a current state assessment and a clear future state architecture recommendation, • Validate existing designs and configurations against current best practice for financial services environments, • Engage with internal technology teams, architects, and engineering staff to gather information and validate findings, • Present findings and recommendations to senior stakeholders and executive audiences: translating technical complexity into business risk and impact, • Define a pragmatic, prioritised roadmap from current to target state Technical Skills Required Cisco Platform Expertise • Expert-level knowledge of Cisco networking across LAN, WAN, and Data Centre: this is non-negotiable, • Hands-on experience with Cisco ACI: policy model, fabric design, and operational management, • Familiarity with Cisco DNA Centre, ISE, and related campus and branch tooling Routing and Switching Protocols • Strong command of BGP and OSPF in enterprise and data centre contexts, • Working knowledge of EIGRP and other legacy protocols: able to assess environments where these remain in use, • Understanding of SD-WAN architectures and migration considerations Architecture and Assessment • Proven ability to assess fragmented, multi-vendor environments and produce HLD/LLD documentation independently, • Experience producing current state assessments and future state recommendations as formal deliverables, • Strong understanding of network security principles as they apply to financial services infrastructure, • Familiarity with cloud connectivity patterns (Azure/AWS) and hybrid architectures Experience Required • CCIE-level expertise: certified or equivalent demonstrated experience. Depth of knowledge is what matters, • Substantial background in financial services: banking, capital markets, or equivalent regulated environments, • Experience presenting to senior technology stakeholders: Heads of Architecture, CTOs, or equivalent

Azure Integration Developer | Global Enterprise Technology Organisation | London We’re partnering with a global, high‑performing organisation currently modernising and scaling its cloud integration and API platform across international markets. As part of a wider digital transformation, the business is investing heavily in event‑driven architecture, cloud‑native integration, and platform reliability on Microsoft Azure. You’ll join a central integration and platform team made up of experienced engineers, architects, and cloud specialists. The team works cross‑functionally with product, data, and domain teams to deliver shared platforms used globally. This is a role with genuine influence, your work will be widely adopted, long‑lived, and foundational to how the organisation operates. Role: • Design and build cloud‑native integration solutions on Azure using Functions, Event Grid, and Azure Integration Services., • Architect and operate event‑driven, asynchronous messaging systems using Azure Service Bus at scale., • Own and evolve Azure API Management as the API gateway, covering security, traffic control, policies, and governance., • Apply SRE principles to integration platforms, including automation, monitoring, reliability engineering, and incident readiness., • Collaborate with architects and engineering teams to set integration standards, patterns, and best practices across the organisation. Skills Needed: • Strong software engineering experience with C#/.NET (and supporting scripting where required)., • Deep hands‑on experience with Azure integration and messaging services, particularly Azure Service Bus., • Solid experience operating production APIs using Azure API Management., • Strong understanding of event‑driven architecture, integration patterns, and distributed systems., • An SRE or operational mindset, you care about reliability, observability, and running systems at scale., • Experience with cloud security, identity, and governance in Azure environments., • Comfort working in complex, multi‑team environments with real production ownership., • Experience automating deployments and infrastructure using ARM, Bicep, or similar IaC tools. This role is ideal for a senior engineer who wants to shape integration foundations, not just deliver individual features. If you’re motivated by building reliable systems that power global platforms and by owning what you put into production we’d love to hear from you. Please share your CV or get in touch to discuss the opportunity in more detail.

About the Role We are partnering with a fast-growing, high-impact data and AI consulting firm that works with Fortune 1000 clients to solve complex business problems. This role sits at the heart of transformation. • You will help enterprise clients rethink their finance function using advanced analytics, cloud, and modern data architecture., • You will work closely with senior stakeholders., • You will influence strategy., • And you will design scalable, future-ready data platforms. What You’ll Do • Lead end-to-end data architecture design—from concept to delivery across Azure and GCP, • Build scalable data platforms for analytics and ML use cases, • Design conceptual, logical, and physical data models, • Architect solutions using tools like BigQuery, Dataflow, and Cloud Storage, • Drive environment setup, sizing, and optimisation across cloud platforms, • Ensure best practices in data architecture, governance, and integration, • Partner with business consultants and product teams to deliver impactful solutions, • Mentor engineering and analytics teams on cloud data architecture, • Stay ahead of emerging cloud trends and recommend adoption strategies, • Support pre-sales, PoCs, and thought leadership initiatives, • Work closely with leadership to shape long-term data strategy What We’re Looking For • Proven experience delivering data and analytics solutions on Azure and GCP, • Strong hands-on experience with tools such as:, • Dataflow, Pub/Sub, Dataproc, Cloud Composer, Data Fusion, • Deep expertise in data warehousing and analytics:, • BigQuery, Cloud Storage, Looker, • Solid understanding of modern data concepts:, • Data Mesh, Data Fabric, Data Products, Data Contracts, • Experience designing scalable, cloud-native data architectures, • Strong stakeholder management and communication skills, • Consulting mindset with the ability to work in fast-paced environments Why This Role • Work directly with senior stakeholders at global enterprises, • Influence large-scale data transformation programs, • Be part of a fast-growing, innovation-driven environment, • High visibility role with strong impact on business outcomes If Interested? Apply now or reach out to Sapna.Oberai@TechClover.sg directly for a confidential discussion. Only shortlisted candidate will be notified. Thank you! Sapna Oberai TechClover Pte. Ltd. EA License No: 23S1705 Reg No: R24124924

Senior Fullstack Software Engineer (Signals Team) Location: London, UK (Hybrid) Department: Engineering Reports To: Engineering Manager Job Type: Full-Time About the Role We are looking for a Senior Fullstack Software Engineer to join our Signals Team, contributing to the development of secure, scalable applications that support digital identity and authentication services. You will work across the stack—from intuitive frontend interfaces to robust backend systems—collaborating with engineers, product managers, and designers to deliver impactful solutions. This role is ideal for engineers who take ownership of complex features end-to-end, influence technical direction, and help raise the engineering bar across the team. Signals Team Mission Accelerating global expansion with locally trusted identity verification solutions The Signals team builds and maintains critical identity verification capabilities that enable secure onboarding and regulatory compliance worldwide, including: • Proof of Address (PoA), • AML (Anti-Money Laundering) checks, • eKYC database integrations, • eID and digital identity integrations These systems power trusted identity flows across multiple geographies and regulatory environments. What You’ll Do • Lead the design, build, and evolution of fullstack applications using React (TypeScript), Kotlin, Python, and Ruby, • Architect and develop scalable APIs and microservices deployed on AWS, Azure, or GCP, • Take ownership of complex features from design through to production and ongoing operation, • Drive architectural discussions and contribute to long-term technical strategy, • Collaborate with cross-functional teams to deliver secure, privacy-compliant features aligned with regulations (e.g., GDPR, BIPA, CCPA), • Mentor engineers through code reviews, pairing, and technical guidance, • Improve system reliability, scalability, observability, and performance, • Partner with product and UX teams to deliver high-quality, user-centric experiences, • Champion secure coding practices and contribute to identity and cryptographic systems, • Identify and implement improvements to engineering practices, tools, and workflows Key Projects You’ll Support • Leading enhancements across identity verification and authentication products, • Driving the evolution of the Signals platform architecture, • Designing and maintaining SDKs and APIs for a consistent developer experience, • Scaling third-party integrations, • Integrating advanced security and identity features into Entrust’s identity platform What We’re Looking For Required Qualifications • 5+ years of professional experience in fullstack or software engineering, • Strong proficiency in React/TypeScript and at least one backend language (Python, Kotlin, or Ruby), • Proven experience designing and building distributed systems and scalable architectures, • Experience building and operating APIs and microservices in cloud environments (AWS, Azure, GCP), • Familiarity with containerization and orchestration (Docker, Kubernetes), • Strong understanding of system design, performance, and reliability trade-offs, • Deep knowledge of software security principles and privacy-by-design approaches, • Experience working in agile environments with CI/CD practices, • Strong communication skills with the ability to influence technical decisions, • Experience mentoring engineers and contributing to team growth Preferred Qualifications • Knowledge of identity protocols (OAuth 2.0, SAML, OpenID Connect), • Experience with frameworks such as Spring Boot or Ruby on Rails, • Understanding of privacy regulations and their technical implications, • Experience building secure SDKs or working on developer platforms Why Join Entrust? • Work on high-impact identity and security systems used globally, • Play a key role in driving geo-expansion and regulatory-compliant products, • Influence architecture and technical direction within the Signals platform, • Collaborate in a supportive, inclusive, and high-performing engineering culture, • Flexible working (hybrid/remote) to support work-life balance, • Strong investment in career growth, leadership, and learning London office: If you're based in our London, UK office, you'll follow a hybrid work model, which requires being in the office three days per week.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we work closely with clients to embrace a transformational approach aimed at benefiting all stakeholders empowering organizations to grow, build sustainable competitive advantage, and drive positive societal impact. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives that question the status quo and spark change. BCG delivers solutions through leading-edge management consulting, technology and design, and corporate and digital ventures. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, fuelled by the goal of helping our clients thrive and enabling them to make the world a better place. About BCG Platinion BCG Platinion's presence spans across the globe, with offices in Asia, Europe, and South and North America. We achieve digital excellence for clients with sustained solutions to the most complex and time-sensitive challenge. We guide clients into the future to push the status quo, overcome tech limitations, and enable our clients to go further in their digital journeys than what has ever been possible in the past. At BCG Platinion, we deliver business value through the innovative use of technology at a rapid pace. We roll up our sleeves to transform business, revolutionize approaches, satisfy customers, and change the game through Architecture, Cybersecurity, Digital Transformation, Enterprise Application and Risk functions. We balance vision with a pragmatic path to change transforming strategies into leading-edge tech platforms, at scale. Practice Area BCG Platinion launched in Germany in 2000 to add deep technical expertise to the Boston Consulting Group's existing capabilities. Today, our presence spans across the globe, with offices in Asia, Europe, and South and North America. Our New York-based North American team began in 2014 and in 2017 acquired MAYA Design, a Pittsburgh-based digital design and innovation lab, to grow our capabilities around technology and design. We support our clients' total digital transformation through technology, design, cybersecurity, and risk management & financial engineering capabilities. And together with BCG, BCG Platinion's interdisciplinary team of technical experts enable customized technical solutions and accelerate delivery value through new business platforms, application consolidations, and major system implementations. What You'll Do As a Lead IT Architect , you will work closely with clients to understand their issues, define IT strategies and architecture solutions, win buy-in for your recommendations, and collaborate with fellow BCGers to transform client potential into performance. You will be given end-to-end responsibility for larger, highly technical and more complex "modules" within a project and begin to develop specialised knowledge to help you solve clients' problems. You will start to take on team lead responsibilities and demonstrate intellectual leadership. As part of our BCG Platinion consulting team, you would work on a variety of technology topics, applying your architectural consulting skills to strategic technology questions. You will be supported by an extensive training curriculum (the same programme as all BCG consultants), plus technology-specific training and mentoring to help you build your skills. You will develop and grow by being exposed to new and complex challenges daily. Together with our clients, you will develop superior digital and technology concepts and architecture solutions as well as support technical implementations actively and on site, applying your sound technical know-how, your understanding of business contexts, and your analytical and conceptual skills. What You'll Bring We are looking for an experienced IT Architect with a strong focus on data platforms and cloud strategy to join our team. • 10 to 15 years experience in IT / Solution / Enterprise Architecture., • Proven background in data architecture and modern data platforms., • Hands-on architecture experience with AWS, Azure and/or GCP., • Knowledge of data lakes, warehouses, streaming and integration patterns., • Experience with cloud security, governance, and cost optimisation., • Familiarity with DevOps, CI/CD, and Infrastructure as Code., • Experience defining enterprise-wide cloud or data strategies, • Experience working in Agile delivery environments., • Previous Consulting and client-facing experience is a must., • Experience across multiple industries and large-scale transformation programmes., • Previous team management and project managment experience is a must., • Ability to work under pressure and willingness to travel to clients world-wide., • Cloud or architecture certifications (AWS, Azure, GCP, TOGAF) are nice to have., • A bachelor's or master's degree in Computer Science, Engineering, or a related field. Additional info Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Role – Principal Consultant Technology – Oracle Fusion HCM Cloud Location – UK Job Description We're looking for an Oracle Fusion HCM Payroll Functional Architect to implement and support Absence, C&B, and Payroll modules for UK public sector clients. You'll need expert knowledge of UK payroll processes and proven experience with Oracle Global Payroll/Absence Cloud, guiding projects through the SDLC and translating complex solutions for diverse audiences. Your role As an Oracle Fusion HCM Consultant, you'll be instrumental in providing impactful solutions to our clients. Your focus will be on the implementation and ongoing support of Oracle Fusion HCM modules, specifically Absence Management and Payroll for the UK public sector. You'll need a deep understanding of all UK Payroll, Pension, and Absence processes, backed by practical experience with Oracle Global Payroll/Absence Cloud in the UK public sector. You'll also lead client engagements, discussing integrations, data migrations, and reporting across relevant modules. A key part of your role is translating complex technical solutions into clear insights for diverse audiences, from technical teams to senior management. You'll guide projects through the Software Development Life Cycle (SDLC), ensuring smooth delivery and top system performance. Responsibilities: • Lead and execute the implementation of Oracle Fusion HCM, specifically focusing on Absence, Oracle Compensation & Benefits (C&B), and Payroll modules for UK clients., • Demonstrate expert proficiency in all aspects of UK Payroll, Pension, and Absence processes., • Apply hands-on experience in Oracle Global Payroll/Absence Cloud, particularly within the UK Public sector., • Conduct System Integration Testing, support User Acceptance testing and Payroll Parallel Reconciliation (PPR) and support hyper care, • Utilize extensive knowledge of HCM technical tools, including HCM Data Loader (HDL), HCM Extract, BI reporting, Fast Formulas, and Payroll Batch Loader., • Effectively discuss complex technology solutions to diverse audiences, including technical, business, and management teams, walkthrough of Business Process Specification documents, Configuration Workbooks, Testing, Change Requests, • Lead customer discussions pertaining to integrations, data migrations, and reports related to Payroll, C&B, Absence, and other relevant modules, • Apply comprehensive knowledge and experience across the full Software Development Life Cycle (SDLC) including Conference Room pilots (CRPs)/Playback sessions, training content preparation and imparting Training Required: • Should have a minimum of 12+ years of experience in implementation of Oracle Fusion HCM for Absence, C&B and Payroll modules for UK, • Candidate should be proficient in all the UK Payroll, Pension and Absence Processes, • Hands-on experience in working on Oracle Global Payroll/Absence Cloud for UK Public sector clients, • Knowledgeable on HCM technical tools including HCM Data loader (HDL), HCM Extract, BI reporting, Fast Formulae, Payroll batch loader., • Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams, • Ability to lead the discussions with the customer teams for integrations, data migrations and reports related to Payroll, C&B and Absence and other modules, • Knowledge and experience with full SDLC lifecycle, • Preparation of Status reports with RAG, highlighting risks and mitigations and maintaining RAID log Preferred • Should be an excellent planner when it comes to perform release planning and other delivery planning., • Should have excellent problem-solving skills, • Responsible for Coaching and mentoring team members with experience of managing 5+ team members, • Experience with Lean / Agile development methodologies Personal Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include: • High analytical skills, • High customer orientation, • High quality awareness About Infosys Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. “All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.”

Ad Tech Solutions Architect - TV Advertising/CTV AdTech SaaS £65000 - £75000 per annum + bonus + bens London Hybrid working (2 days London PW) Permanent The AdTech Solution Architect Role is working for a fast-growing AdTech SaaS business focused on the TV and CTV industry. Due to accelerated global growth and a greater volume of TV client deployments across Europe our client is seeking an experienced and driven Solution Architect with previous relevant Ad Tech experience gained within the TV/CTV sector. Joining a small team of Solution architects you will help specific client delivery customizations, enabling broadcasters, Cable Operators and TV media owners with integrated Advertising solutions. This role is based in London HQ office with flexible hybrid working. Experience required • Previous solutions architect, pre-sales solution architect or technical consultant with relevant experience gained within TV AD Tech Industry, • 5+ years in the Ad Tech, SaaS, Big data, TV Media industry is a requirement., • Deep technical understanding of the technical architecture of complex and highly scalable software and/or cloud-based products., • Awareness and understanding of commonly used technologies for data storage/analytics., • Entrepreneurial drive to get things done and deliver in the best way, • Thrive in a fast paced, demanding environment., • Be able to understand and analyze complex raw datasets and work in tandem with, • engineering and product teams., • Ability to drive both strategic decisions and operational tasks, • Performance driven mindset with a strong motivation to lead professionally, • Ability to work and communicate in a fast paced international environment, • Masters or Bachelor degree, preferably in STEM, computer science or related fields. Role Responsibilities • Act as a bridge between client facing and technical teams, ensuring transparent communication across all aspects of technical delivery., • Author detailed specifications translating the business needs of TV clients into technical requirements to be actioned by operational engineering teams., • Act as a key interface for technical communication for clients, liaising with client technical teams where necessary to ensure smooth project delivery., • Support sales processes in technical pre-sales actions including data assessments and providing technical input in early stage project scoping., • Develop a deep technical understanding of the product stack, and how it can be leveraged against a TV Media owner’s data to fulfil their business objectives What we offer Competitive Salary and benefits flexibility and agility, Our global teams provide a fantastic collaborative atmosphere, and we support each other with a great learning environment for personal development at every level. About the client Join smart, passionate and creative people that help transform the world of TV by enabling broadcasters, Cable Operators and TV media owners with leading TV Advertising solutions. Solutions that empower TV media companies to execute effective TV strategies by enabling advanced campaign delivery, maximizing yield, and boosting operational efficiency through workflow data enrichment and automation. At the core product spans linear and digital inventory and enables data unification, holistic audience forecasting, planning, in-flight optimization, and unified reporting capabilities that integrates seamlessly with a client’s existing tech stack – including linear trafficking systems, digital ad servers, and other data-driven tools – creating a connected, smarter and more efficient ecosystem built for the future of TV. Together with our diverse global team with offices across London, Zagreb and New York, we’re passionate and driven by our ambitious growth and opportunity - moving into new markets and delivering innovative SaaS technology to our clients.

A Salesforce Solution Architect is required to support a large‑scale CRM transformation programme for an exciting professional services client. This is an opportunity to take a complex, legacy‑integrated estate and evolve it into a well‑governed, scalable target architecture. The role will focus on end‑to‑end solution design across Salesforce and connected platforms, supporting delivery teams through build, release and migration, while ensuring architectural coherence, data integrity and operational resilience ahead of a 2026 legacy exit. Responsibilities • Define Salesforce‑led target architectures across business processes, data, integrations and release management., • Own solution design for Salesforce capabilities, working closely with delivery teams throughout build and release cycles., • Provide architectural assurance, challenge designs constructively, and unblock delivery risks., • Collaborate with business, technology, data and integration teams to align solutions to programme objectives., • Support release planning, environment strategy and deployment governance across Salesforce and adjacent platforms. Key deliverables • Salesforce solution architectures aligned to enterprise standards and delivery constraints., • High‑level and low‑level designs covering data models, integrations, security and non‑functional requirements., • Architecture decision records (ADRs) and governance artefacts., • Input into release management, deployment strategy and environment configuration (e.g. Gearset / Azure DevOps)., • Design support through build, test, cutover and legacy decommissioning phases. Essential skills and experience • Proven experience as a Salesforce Solution Architect on complex, multi‑stream delivery programmes., • Strong understanding of Salesforce Sales Cloud, Service Cloud, data models, security, sharing and limits., • Experience designing integrations between Salesforce and downstream systems using modern integration patterns., • Strong grasp of order‑to‑cash / billing, customer lifecycle or transactional business processes., • Experience working in delivery‑embedded architecture roles, balancing governance with pace., • Ability to clearly articulate, document and defend architectural decisions with senior stakeholders. Additional desirable experience • Experience with Salesforce release management tooling (e.g. Gearset) and ALM practices., • Exposure to Azure DevOps or similar delivery toolchains., • Experience working in regulated or highly controlled enterprise environments., • Background in utilities, financial services, subscription or membership‑based organisations. Contract length - 6 months There is a requirement to be on site 2 days a week For more information please apply with a CV and outside of IR35 day expectations to will.bellinger@stantonhouse.com

Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history, typically including no periods of 30 consecutive days or more spent outside of the UK. The above information relates to a specific client requirement Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: As a Principal System Architect (PSA), you will lead the end‑to‑end architectural design, development, and implementation of complex, enterprise‑grade solutions on the Pega platform. You will collaborate with cross‑functional teams and senior stakeholders to ensure that technical solutions align with business objectives, industry standards, and client expectations. Your deep expertise in Pega architecture, combined with strong leadership and communication skills, positions you as a trusted advisor on large‑scale transformation programs. You will guide teams, influence strategic decision‑making, and drive technical excellence across engagements. As a member of our team, you will have the opportunity to: • Lead Pega Architectural Design & Delivery, • Architect, design, and oversee the implementation of scalable, high‑performance Pega solutions that meet business and technical requirements., • Establish Best Practices & Frameworks, • Define and enforce Pega development standards, methodologies, guardrails, and reusable frameworks to drive consistency and technical excellence., • Partner with senior stakeholders and clients to define technical strategies, solution roadmaps, project scope, and architectural direction., • Guide, mentor, and support teams of system architects and developers throughout the full solution lifecycle, ensuring quality, compliance, and best‑practice implementation., • Maximize solution portability and maintainability by leveraging Pega best practices, reusable assets, and platform capabilities., • Lead performance tuning, scalability assessments, and system optimization initiatives to ensure robustness, efficiency, and production‑grade stability., • Technical Problem Solving & Risk Management, • Stay current with Pega roadmap developments, ecosystem trends, and emerging technologies; apply this knowledge to enhance client solutions and delivery practices., • Stakeholder Engagement & Communication, • Facilitate workshops, design sessions, and technical meetings; ensure clear communication of complex concepts to both technical and non‑technical audiences. We are looking for experience in the following skills: • 12+ years of experience designing and implementing enterprise‑level solutions, with significant focus on Pega out of which at least 4 years working as Pega LSA., • Deep expertise in Pega architecture, center-out architecture, Pega Infinity, case management, integration patterns, and BPM concepts., • Proven experience leading large‑scale Pega implementations in complex enterprise environments., • Strong knowledge of Object‑Oriented concepts, solution design principles, and enterprise integration strategies., • Hands‑on leadership experience in Agile/Scrum delivery environments., • Demonstrated ability to mentor architects and developers, fostering technical growth and quality delivery., • Excellent communication, stakeholder management, and decision‑making skills., • Pega certifications preferred, including:, • Pega Certified Lead System Architect (CLSA) V Infinity 23 or 24, • Industry or functional domain expertise (Government, financial services, telecom), • Experience with Intelligent Automation, Customer Engagement, or AI‑driven decisioning using Pega capabilities., • Prior consulting or professional services experience working directly with clients., • Experience deploying Pega solutions on cloud platforms (Pega Cloud, AWS, Azure)., • Experience mentoring and developing junior technical staff. What’s in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at _

Location: London - Hybrid (2 days per week (London Bridge Area)) Salary: £90000 - £100,000 Reporting into: Platform Lead WeDo have partnered with a data-driven market research company very much in growth mode (circa 50% YoY Growth). Having successfully onboarded several new hires over the past 6 months, one being a Lead Platform Engineer, there is now a need for a Senior Engineer to assist with ongoing Platform Architecture/Development. Day-to-day responsibilities will include: • Lead, design and implement Azure based solutions, • Provide direction around/and implement necessary tooling, • Advocate DevSecOps principles, • Architect cloud-native systems - microservices-led/serverless etc. What we’re looking for: • Significant Azure experience, • IaC - Currently ARM/Bicep but open to Terraform, • CI/CD Pipeline design - Azure Devops, • DevSecOps experience, • C#/.Net, • Stakeholder Management experience and the ability to operate as an IC., • AI-Led Coding/Development Three stage interview process. 1st stage is a discovery call, 2nd is a Solution Design whiteboard exercise and 3rd stage, a meet and greet call with wider team. If the above is you... apply now and I will follow up accordingly.

Senior Fullstack Engineer (AI-Native) — Freelance via Shakers We're hiring a Senior Fullstack Engineer to help build the enterprise backbone of an AI hiring intelligence platform that's redefining recruitment through voice-first, capability-based assessment. You'll join a lean creative engineering team with a flat structure, high ownership, and zero bureaucracy. The product is AI-native — and so is the team. What you'll do • Architect and ship high-concurrency APIs and event-driven systems (NodeJS, NestJS, GraphQL, PostgreSQL), • Define enterprise-grade architecture: GDPR-safe, audit trails, permissions, cloud-ready by default, • Integrate LLMs (Gemini and others) into the product in a measurable, monitored, production-safe way, • Build reliability foundations: monitoring, logging, retries, runbooks, • Own features end-to-end — from vague brief to production Must-haves • Strong NodeJS + NestJS + GraphQL + PostgreSQL, • Hands-on with LLMs in production (Gemini a plus), • Event-driven architecture, Prisma, Terraform, • Reliability mindset: monitoring, QA, retries Format • 100% freelance via Shakers, • Long-term engagement, • Hybrid in London - flexible (EU timezone) If you're AI-native in practice and want real end-to-end ownership in a high-taste studio, apply.

Role: Backend Developer (Core Java) We are seeking an experienced Backend Developer with strong expertise in Core Java to build scalable, high-performance APIs and work effectively within large, complex codebases. The ideal candidate will have a solid foundation in system architecture and will collaborate closely with DevOps and the Head of Engineering in a small, agile team. This role plays a critical part in developing and enhancing a microservices-based platform that supports risk management and backend operations for both corporate and retail trading. You will also contribute to shaping the technical roadmap and improving the Software Development Life Cycle (SDLC). Key Responsibilities: • Design, develop, and maintain high-performance backend services for complex data processing systems, • Architect scalable solutions for high-volume calculations and data pipelines, • Optimize database schemas, write efficient SQL queries, and improve database performance, • Collaborate directly with business stakeholders to define and deliver new features, • Ensure performance, reliability, and quality across all backend services, • Identify and resolve performance bottlenecks, defects, and system issues, • Adhere to best practices in engineering, including design patterns and architectural principles, • Develop and maintain unit and integration testing frameworks, • Contribute to the technical roadmap and continuously improve SDLC processes, • Support additional ad hoc technical tasks as required Technical Skills: • 5+ years of experience in software engineering with strong Core Java expertise, • At least 2 years of experience working with SQL databases, • Strong experience in API development and automation, • Familiarity with cloud platforms such as AWS, Azure, or GCP, • Experience working in Agile environments, • Hands-on experience with CI/CD pipelines and version control systems, • Experience with Python is a plus Qualifications & Experience: • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Electrical Engineering, or a related field (must have), • Experience in a regulated industry, preferably within banking or financial services, • Proactive mindset with a strong sense of ownership and a focus on continuous improvement

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

Head of Engineering Location: London (Hybrid) 2 days a week Salary: £125,000 + Benefits/Bonus Are you the kind of tech leader who still loves to build? The one who writes code, architects solutions, mentors engineers — and still gets a buzz from seeing it all come to life? Our client is looking for a Hands‑On Head of Customer Identity & Loyalty Solutions — someone who blends strategic thinking with serious technical firepower. You’ll own the vision and delivery of large‑scale, customer‑facing identity and loyalty platforms that power awesome digital experiences — not corporate IT, but the stuff millions of real users touch every day. If you believe great leaders lead by doing (and not just talking), this one’s for you. What You’ll Be Doing • Architect and deliver the next generation of customer identity and loyalty platforms., • Stay hands‑on — designing, coding, coaching, and setting technical direction., • Bring AI into the heart of development to boost speed, quality, and creativity., • Collaborate with digital product, data, and engineering teams to create seamless, personalised user journeys., • Build and grow a high‑performing, inspired tech team., • Ensure everything is fast, secure, and built to scale. What You Bring • A track record of delivering digital identity or loyalty solutions at scale., • Deep technical expertise in Azure, cloud architecture, APIs, and modern engineering., • A love for clean code, smart systems, and solving tough problems., • Passion for using AI to enhance development — from automation to insight., • The confidence to lead from the front and the curiosity to never stop learning. Why You’ll Love It You’ll get the autonomy to make big technical decisions, the team to execute brilliantly, and the environment to experiment with everything from AI‑powered tools to new digital architectures. It’s leadership with your sleeves rolled up — tech‑first, action‑driven, and future‑focused.

About the Role We are seeking a Senior Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a full-stack engineer, you'll work across the entire technology stack—from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Required Qualifications Software Development • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of event-driven architectures and message queues, • Knowledge of API design principles, data validation, and serialisation, • Experience with observability tools (OpenTelemetry, Prometheus, Grafana), • Experience with AWS Lambda and serverless architectures, • Experience working across the stack (backend + some frontend), • Understanding of web technologies, HTTP, and API integrations, • Ability to contribute to responsive frontend code when needed, • Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically, • Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously DevOps & Infrastructure • Hands-on experience with cloud platforms (AWS preferred), • Experience with containerisation (Docker) and orchestration (Kubernetes), • Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar), • Experience setting up CI/CD pipelines, • Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics • Experience with data analysis using Python (pandas, numpy), • Understanding of data pipelines and ETL processes AI/LLM Engineering • Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications, • Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs, • Experience with prompt engineering techniques — few-shot prompting, chain-of-thought, structured output, and instruction tuning, • Practical knowledge of RAG (Retrieval-Augmented Generation) architectures, including chunking strategies, vector embeddings, and similarity search, • Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar, • Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop workflows, • Understanding of MCP (Model Context Protocol) or similar standards for connecting AI models to external tools and data sources, • Knowledge of LLM evaluation methods — measuring accuracy, hallucination, latency, and cost, • Awareness of responsible AI practices: bias, safety, output validation, and guardrails in production systems, • Experience managing LLM costs and optimising for latency vs. quality trade-offs in real deployments Soft Skills • Wearer of Many Hats: Comfortable switching contexts and working across different domains, • Self-Starter: Ability to work independently and take ownership of projects, • Problem Solver: Strong analytical and debugging skills, • Collaborative: Excellent communication skills and ability to work in a small team, • Adaptable: Comfortable with ambiguity and rapid iteration, • Mentoring: Able to mentor less-experienced Software Engineers. Nice-to-Have Qualifications • Experience with FastAPI or similar async Python web frameworks, • Experience with Neo4j or other graph databases, • Experience with graph algorithms and network analysis, • Experience with Helm and Kubernetes operators, • Background in data science, statistics, or scientific computing, • Experience with graph analytics or network analysis, • Experience with Apple and Google App Stores, • Experience in early-stage startups What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems How to Apply Please submit: • Your resume/CV, • A brief cover letter explaining why you're interested in this role, • Links to your GitHub profile or relevant code samples, • Any relevant projects or work that demonstrates your experience We're particularly interested in candidates who can demonstrate: • Experience building scalable backend systems, • Ability to work across multiple domains (backend, DevOps, data), • Examples of taking projects from idea to production, • Contributions to open source or personal projects Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

About the Role We are seeking a Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a full-stack engineer, you'll work across the entire technology stack—from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Required Qualifications Software Development • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of event-driven architectures and message queues, • Knowledge of API design principles, data validation, and serialisation, • Experience with AWS Lambda and serverless architectures, • Experience working across the stack (backend + some frontend), • Understanding of web technologies, HTTP, and API integrations, • Ability to contribute to responsive frontend code when needed, • Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically DevOps & Infrastructure • Hands-on experience with cloud platforms (AWS preferred), • Experience with containerisation (Docker) and orchestration (Kubernetes), • Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar), • Experience setting up CI/CD pipelines, • Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics • Experience with data analysis using Python (pandas, numpy), • Understanding of data pipelines and ETL processes AI/LLM Engineering • Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications, • Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs, • Experience with prompt engineering techniques — few-shot prompting, chain-of-thought, structured output, and instruction tuning Soft Skills • Wearer of Many Hats: Comfortable switching contexts and working across different domains, • Self-Starter: Ability to work independently and take ownership of projects, • Problem Solver: Strong analytical and debugging skills, • Collaborative: Excellent communication skills and ability to work in a small team, • Adaptable: Comfortable with ambiguity and rapid iteration Nice-to-Have Qualifications • Experience with observability tools (OpenTelemetry, Prometheus, Grafana), • Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously, • Experience with FastAPI or similar async Python web frameworks, • Experience with Neo4j or other graph databases, • Experience with graph algorithms and network analysis, • Experience with Helm and Kubernetes operators, • Background in data science, statistics, or scientific computing, • Experience with graph analytics or network analysis, • Experience with RAG, LLM Orchestration and MCP, • Experience in early-stage startups What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

Lead & Senior Software Engineer | Fintech Accelerator | London | Scale-up Impact The Opportunity Born from the successful launch of a major digital bank, we are hiring a high-growth venture team with a fresh mission. Building products that solve real-world financial problems by putting the customer at the center of every decision. As a Lead & Senior Software Engineer, you will be the technical heartbeat of an Accelerator business. This is a rare chance to operate with the agility of a fintech while leveraging the stability and reach of a global financial leader. You will thrive in a squad-based environment where curiosity is celebrated and ideas are rapidly transformed into products. Your impact will be felt directly by customers as you help shape the future of digital finance. What You’ll Be Doing • Use domain modeling to build best-in-class, scalable business products., • Structure software for maximum readability, testability, and evolution., • Architect resilient solutions that eliminate single points of failure., • Develop secure, high-performance code to protect customers and data., • Lead prompt investigations into system issues to ensure long-term stability., • Oversee seamless, zero-downtime releases for a global user base., • Optimise data architecture for high-efficiency reading and writing., • Evolve the tech stack by integrating modern technologies and patterns. What They’re Looking For Essential • Proficiency in JVM-based languages, specifically Java or Kotlin., • Deep experience with cloud-native architecture and multi-cloud environments., • A pragmatic, iterative approach to solving complex technical challenges., • Strong architectural thinking with a focus on long-term scalability over short-term fixes., • Ability to adapt quickly to changing priorities and navigate "uncharted waters.", • A team-first mindset with a passion for mentoring and knowledge sharing., • High ethical standards and a commitment to building trust-based software. Nice to Have • Previous experience in a fintech or high-growth startup environment., • Contributions to open-source projects or a background in building custom tooling., • Familiarity with cross-functional "tribe and squad" working models. Why Join? • We are a people-first organisation that values collaboration over "hero" culture. You will have the autonomy to move between different product squads based on your interests and strengths, ensuring your work stays challenging and fresh., • Scale a new venture from the ground up with significant backing., • Work in a multi-cloud environment using the best tool for the job., • Continuous learning opportunities and a clear path for technical leadership., • A culture that champions diversity of thought and professional growth.

Higher is working with one of the most technically serious enterprise AI companies in London to hire 2 Lead AI Engineers. You should know about them. Their clients include Johnson & Johnson, Cisco and Syneos Health. Their investors include the CEO of Revolut. And they're solving one of the hardest problems in enterprise software today. THE PROBLEM THEY ARE SOLVING Most AI in the enterprise is cosmetic. Dashboards. Copilots. Tools that assist, but don't act. This company is building something different: Digital Workers, autonomous AI systems that execute complex knowledge workflows end to end, with human-level reliability. Founded nearly 10 years ago, with over $50m in funding from some of the UK's most prominent VCs, they've built a platform that actually runs in production at global scale. THE ROLE As Lead AI Engineer, you will embed directly with enterprise clients, untangle their most complex operational workflows, and architect the agentic systems that automate them. This is a forward-deployed, client-facing role that demands both deep technical capability and the maturity to operate at the business level. You will own delivery end to end, from architecture through to production. The team is 45 people, nearly 20% with PhDs. They value intellectual rigour, ownership, and a genuine drive to win. They come together at their West London office 1-2 times per week. WHAT YOU BRING • 5+ years hands-on experience building and deploying production-grade AI systems using LLMs, RAG pipelines, MCPs and agentic workflows, • A track record of leading complex, client-facing technical engagements, • Strong system design and architecture skills, with the ability to turn ambiguous business problems into scalable AI solutions, • Experience setting technical direction and driving delivery to measurable outcomes, • Solid understanding of evaluation, reliability and performance in production AI systems Tech stack: Python, modern LLM frameworks, orchestration tooling, and cloud platforms (AWS, GCP or Azure). WHAT'S ON OFFER • Up to £120,000 base salary + high-value share options, • 25 days holiday plus bank holidays, with carry-over and sell options, • Pension scheme, life cover at 4x salary, • Health and dental insurance options, • Learning and development budget, work abroad days, • Cycle to work, tech purchases scheme *THIS COMPANY IS NOT OFFERING SPONSORSHIP TO FOREIGN CANDIDATES. IF YOU REQUIRE SPONSORSHIP TO LIVE AND WORK IN THE UK, PLEASE DO NOT APPLY* Higher is a specialist AI executive search firm. This search is being conducted confidentially on behalf of our client. To be considered, please apply or reach out to Kelly Gauthier at kelly@highersearch.co.

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

We’re looking for a Senior AWS Cloud Engineer / Architect to lead a critical cloud hardening and resilience project. You’ll take an existing AWS environment and transform it into a secure, highly available, production-grade platform — implementing best-in-class backup, failover, disaster recovery, and security controls. This is a hands-on delivery role with architectural ownership. What You’ll Be Doing • Design and implement backup & disaster recovery strategy (RTO/RPO defined), • Build multi-AZ, highly available architectures with automated failover, • Implement AWS Network Firewall & WAF for full perimeter security, • Harden environments with least privilege IAM, MFA, and access controls, • Set up CloudWatch, CloudTrail & VPC Flow Logs for monitoring and audit, • Deliver Infrastructure as Code (Terraform / CloudFormation / scripts), • Create runbooks, architecture diagrams, and DR procedures, • Execute testing & validation (failover, backup restore, DR simulation) Key Requirements We’re targeting experienced contractors who can hit the ground running: Core Skills • Strong hands-on AWS experience (5+ years), • Proven experience with:, • High availability & failover design, • Backup, replication & disaster recovery, • AWS networking & security architecture, • Deep understanding of:, • IAM (RBAC, least privilege, MFA), • CloudWatch, CloudTrail, logging & monitoring, • Experience implementing:, • AWS WAF & Network Firewall (or similar), • Secure VPC design (segmentation, NACLs, security groups) Technical Tools • Infrastructure as Code (Terraform / CloudFormation preferred), • AWS services: EC2, RDS/SQL, EBS, ELB, VPC Bonus • Experience in security-focused or regulated environments, • Strong documentation & stakeholder communication skills By the end of the contract, you will have delivered: • A fully hardened AWS environment, • Tested and validated failover & DR processes, • Complete monitoring, alerting, and security controls, • Clear documentation and runbooks for ongoing operations

Lead Data Engineer (Contract) Location: London (2 days onsite per week) Day Rate: £550 Per day (Outside IR35) Duration: min. 6-month contract Start: ASAP Contact: Matthew.Makranczy@forsythbarnes.com Overview We are looking for a Lead Data Engineer to join a high-performing team delivering advanced data platforms that support financial institutions in tackling fraud and financial crime. In this role, you will help design and evolve a modern Databricks + lakehouse architecture, enabling analytics, machine learning, and investigative teams to generate actionable insights from large-scale datasets. This is a hands-on leadership position focused on building robust, scalable, and governed data solutions using modern cloud technologies. The Role • Own the end-to-end design, build, optimisation, and support of scalable Spark / PySpark data pipelines (batch and streaming), • Define and implement lakehouse architecture standards (medallion model: bronze, silver, gold), including governance, lineage, and data quality controls, • Design and manage secure data ingestion frameworks (e.g. Apache NiFi, APIs, SFTP/FTPS) for internal and external data sources, • Architect and maintain secure AWS-based data infrastructure (S3, IAM, KMS, Glue, Lake Formation, Lambda, Step Functions, CloudWatch, etc.), • Implement orchestration using tools such as Airflow, Databricks Workflows, and Step Functions, • Champion data quality, observability, and reliability (SLAs, monitoring, alerting, reconciliation), • Drive CI/CD best practices for data platforms (infrastructure as code, automated testing, versioning, environment promotion), • Mentor engineers on distributed data processing, performance optimisation, and cost efficiency, • Collaborate with data science, product, and compliance teams to translate requirements into scalable data solutions Required Skills & Experience • Strong experience as a Senior or Lead Data Engineer with ownership of end-to-end data solutions, • Expertise in Databricks, PySpark / Spark, SQL, and Python, • Proven experience building and optimising large-scale data pipelines in production environments, • Strong knowledge of cloud data architectures, particularly within AWS, • Experience designing scalable data models and reusable frameworks, • Hands-on experience with orchestration tools such as Airflow or similar, • Solid understanding of data governance, lineage, and compliance requirements, • Experience with CI/CD pipelines and infrastructure as code (e.g. Terraform, CloudFormation), • Strong communication skills with the ability to collaborate across technical and non-technical teams What We’re Looking For • A hands-on technical leader who can design, build, and deliver solutions independently, • Someone comfortable working with high-volume, high-throughput data systems, • Strong problem-solving skills and a pragmatic, delivery-focused mindset, • Experience mentoring engineers and setting engineering standards and best practices, • Ability to balance technical excellence with delivery timelines

Forward Deployed AI Engineer | AI Consultancy 📍 London (Hybrid) 💰 Salary £120,000-£150,000 💷 £700-£900 per day 🏢 Permanent or Contract Role Overview We’re looking for a Forward Deployed AI Engineer to join a fast-growing AI consultancy working with leading organisations in areas such as capital markets and investment management. You will work directly with clients to design, build, and deliver production-grade AI systems, embedding into complex environments to solve real operational and data challenges. This role blends software engineering, AI system design, and client delivery, with a strong focus on scalable, production-ready solutions. What you’ll be doing • Build and evolve AI-driven origination and workflow platforms, including deal intake, pipeline management, relationship intelligence, approvals, and execution processes, • Design and implement microservices and APIs that integrate data across enterprise systems such as CRMs, internal platforms, and external data providers, • Translate complex financial and operational logic — including pipeline structures, attribution models, allocations, and reporting frameworks — into scalable technical systems, • Architect and optimise data models and database layers, including schema design, indexing strategies, query tuning, and stored procedures, • Develop and maintain CI/CD pipelines and engineering tooling to support reliable, frequent, and high-quality deployments, • Implement event-driven architectures using Kafka, enabling real-time data processing, system decoupling, and auditability, • Ensure high performance, reliability, and scalability across distributed systems, including observability, monitoring, and production readiness, • Partner with product, operations, and investment stakeholders to refine requirements and deliver iterative solutions in Agile environments Core requirements • 8+ years of hands-on software engineering experience across Python and object-oriented languages (Java or C++), • Strong background delivering production-grade full-stack or backend systems, • Deep understanding of cloud architecture (AWS, Azure, or GCP) with a focus on scalable and secure systems, • Strong proficiency in Python and SQL, plus experience with either Java or .NET, • Solid DevOps experience including Git, CI/CD pipelines, and containerisation (Docker, Jenkins or equivalent tools), • Proven experience designing and building microservices-based architectures in distributed systems, • Advanced knowledge of database systems, including schema design, performance tuning, and query optimisation, • Experience working with event-driven architectures and messaging systems such as Kafka, • Familiarity with both NoSQL and NewSQL databases, including trade-offs and use cases, • Ability to take ambiguous business requirements and turn them into clear technical designs and working systems AI Engineering capability (essential) All engineers in this team are expected to meaningfully apply AI in production systems, including: • Building and deploying LLM-based applications in production environments, • Designing agentic workflows and multi-step AI systems, • Implementing RAG (Retrieval-Augmented Generation) pipelines, • Working with OpenAI or Anthropic APIs, • Using vector databases and embedding-based search systems, • Applying prompt engineering techniques effectively, • Building AI evaluation, monitoring, and observability frameworks, • Understanding ML fundamentals where relevant (embeddings, fine-tuning, context engineering) Additional note The business is also interested in speaking with UK-based engineers for internal platform and AI product engineering roles. If you are more interested in building internal systems rather than client-facing delivery, you are still encouraged to apply.

. Role: Guidewire BillingCenter Architect Location: London Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO We are seeking a highly experienced Guidewire BillingCenter Architect to lead the design and implementation of billing solutions for large-scale insurance transformation programs. This is a highly technical and advisory role requiring deep expertise in Guidewire BillingCenter, insurance billing processes, and enterprise architecture best practices. The ideal candidate will have a proven track record of architecting scalable, secure, and high-performance billing systems using Guidewire technologies. Key Responsibilities: • Lead the architecture and design of Guidewire BillingCenter implementations for insurance clients., • Define billing solution blueprints, integration strategies, and technical roadmaps aligned with business goals., • Provide technical leadership across the full delivery lifecycle including requirements, design, development, testing, and deployment., • Ensure adherence to Guidewire Surepath Methodologies, implementation guidelines, and coding standards., • Collaborate with stakeholders to gather billing requirements and translate them into scalable technical solutions., • Design and implement billing workflows, payment processing (including UK Direct Debit Processing, and Credit/Debit card processing), invoicing, and collections modules., • Architect integrations with external systems such as policy administration, claims, finance, and third-party payment gateways., • Support performance tuning, scalability planning, and disaster recovery strategies for BillingCenter deployments., • Conduct architecture reviews, technical workshops, and provide advisory support to clients and delivery teams., • Stay current with Guidewire product updates, cloud capabilities, and industry trends in insurance billing. Job Qualifications: • Minimum 7 years of experience in enterprise architecture and insurance technology delivery., • Proven experience in designing and implementing Guidewire BillingCenter solutions., • Strong understanding of insurance UK billing processes including invoicing, payments, adjustments, and collections., • Proven experience in designing and implementing Guidewire BillingCenter solutions., • Strong understanding of insurance billing processes including invoicing, payments, adjustments, and collections., • Hands-on experience with Guidewire configuration, integration, and data model customization., • Expertise in Java, Gosu, and Guidewire Studio., • Experience with Guidewire Cloud Platform (GWCP) and cloud-native architecture patterns., • Knowledge of integration technologies including APIs, messaging frameworks, and middleware., • Familiarity with DevOps practices, CI/CD pipelines, and Infrastructure-as-Code tools., • Excellent communication and stakeholder management skills., • Guidewire certifications (BillingCenter, Cloud V10) are highly desirable., • AutoPilot and Jutro understanding, • Experience in Commercial/Speciality LoBs, • Experience with requirements gathering for integrations with ClaimCenter such as Fraud system, GL, Doc Prod etc., • Certification on Guidewire BA ClaimCenter What’s in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 25 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. About Accenture

AI Engineer @Ignitus 📍 Location: London (Hybrid – around 2 days a week in the office) 💰 Salary: £50k to £55k, based on experience 💎 Equity: Will be multiplied very rapidly if successful 🚀 Stage: Pre-seed / Seed (we’re already revenue generating) About Us Our mission? Creating equal access to coaching at work. How we make it happen? Our AI coaching platform replicates the coaching of 9 of the world’s top experts. Forget ChatGPT wrappers, AI chatbots, or clunky 3D avatars. Our multimodal platform is fuelled by the top 0.1% experts, and includes real-time advice features bringing insights from world-class coaches into the flow of work. Our latest obsession: providing every manager with expert insights, when they need it… and without asking for it! We have recently raised capital to make this become a reality. We’re early, we’re ambitious, and we’re doing something that hasn’t been done before. The kind of thing that’s equal parts exciting and terrifying — in a good way. The Role We’re looking for an AI Engineer with exceptional capabilities seeking to make real-time augmentation a reality. Someone who likes to punch above their weight and is excited by the idea of building the 1st ever learning tool with 100% active users. • Are you an AI expert? We’re looking for an AI expert who will finds agent architectures exciting, stays up to date with the latest LLMs and can design novel experiences., • Are you a builder at heart? You understand users, and love owning features end-to-end: from product thinking and technical design to shipping polished experiences, • Are you strategic? You will work directly with Ben, CEO and founder on our startup’s #1 goal: taking off and unlocking that series A round. Last but not least, this role is for risk-takers only. Don’t apply if you seek a predictable, comfortable job. What You’ll Be Doing • Make every individual has a unique experience of Ignitus. Hyper-customisation is key., • Architect and optimize the end-to-end AI lifecycle, from data ingestion to inference., • Iterate on model accuracy and retrieval performance using systematic evaluation frameworks (e.g., RAGAS, DeepEval)., • Build out our AI experiences — things like RAG pipelines, multimodal user experiences, and LLM-powered experiences that actually work in production., • Embed Ignitus into the flow of work with low-complexity integrations, • Experiment with the latest models, tools, and APIs to stay ahead of the curve., • Implement AI-specific security and privacy guardrails, including PII redaction and prompt injection mitigation., • Develop agentic workflows and advanced orchestration logic to handle complex, multi-step user tasks., • Optimize inference latency and token costs to ensure our AI features are both snappy and sustainable., • Keep the platform secure, stable, and scalable as we grow fast. What You’ll Bring • Deep technical expertise in the modern AI stack (LangChain/LlamaIndex, DSPy, or similar), • Mastery of Python and asynchronous programming, with a focus on building high-performance AI backends., • Experience working with LLMs, vector databases, and retrieval-augmented generation (RAG)., • Strong understanding of embedding models, rerankers, and hybrid search., • Hands-on experience deploying AI systems in production., • Experience in dealing with IT audits with prospects., • A good grasp of cloud infrastructure (Azure, AWS, or GCP)., • A curiosity for how people learn and grow — and how tech can help with that. Why This Role • You’ll be joining at take-off stage, where every one of your contributions shapes how high the company can go., • You’ll get to work with cutting-edge AI tech — not just talk about it., • You’ll have a lot of autonomy, trust, and influence within a small and passionate team, • You’ll share the risks, and rewards - the compounding equity package will reflect that If you love the idea of building an AI product that actually helps people — and you want to be there from the start, helping shape both the tech and the culture — we’d love to chat.

🚨 Hiring: Technology Solution Architect | London/Hybrid 2 days per week 🚨 I’m currently partnering with a growing, highly collaborative technology team within a leading professional services environment to hire a Technology Solution Architect. This is a fantastic opportunity to join a business where technology is genuinely seen as a strategic driver — with strong investment, senior leadership buy-in, and the chance to help shape the future architecture function. 🔹 Location: London (hybrid working) 🔹 Salary: Competitive + strong benefits 🔹 Industry: Professional Services / Regulated Environment Key areas of focus include: ✔️ Solution architecture & technical design ✔️ Enterprise integrations & API architecture ✔️ Azure cloud services ✔️ Working across data, platform, security & product teams ✔️ Stakeholder engagement with both technical and non-technical audiences ✔️ End-to-end solution delivery across enterprise applications Tech environment includes: Azure (App Services, Functions, Service Bus, APIM) SQL Server CI/CD & DevOps practices Enterprise architecture tooling (Ardoq / LeanIX) Legal tech platforms including Aderant, iManage & Intapp They’re looking for someone who can: Translate business problems into scalable technical solutions Operate confidently in a fast-paced, evolving environment Communicate architectural decisions clearly to stakeholders at all levels Bring strong integration and enterprise solution design experience Experience within legal, professional services, or other regulated industries would be highly beneficial.

Senior Architect (AWS Cloud) London - Hybrid Permanent - Full time Up to £110,000 + Annual Bonus Imagine collaborating with the biggest names in media & entertainment, building the infrastructure that delivers content to millions. Your work will directly impact how people experience their favorite shows, movies, and games. Sound good to you? In an Agile setting, you will collaborate with development teams and clients as a Senior Cloud Architect to produce cutting-edge software. During this exciting and dynamic stage of their journey, you will play a key role in shaping our clients' projects as well as the overall structure of the company. They offer flexibility and freedom in return for passion and commitment. Senior Architect Responsibilities: • Collaborate closely with our development teams to provide cutting-edge services and software., • Develop strong bonds with stakeholders at all levels, listen to and share expertise, coach and Inspire team members, and establish yourself as a reliable partner., • Collaborate with Sales/Pre-sales teams, • Discover new technologies, create patterns and procedures, and introduce them as necessary. Senior Architect Skills: • Significant background a practical knowledge of AWS Cloud., • A software Development background, • Experience working with Data/AI Technologies, • Familiarity with Agile and Continuous Delivery techniques, • A thorough comprehension of resilience, scalability, and security, • The capacity to recognise issues, find solutions, and operate with little direction or assistance a natural interest in new technologies, • Experience in the media and telecommunications would be a bonus If you think you would be a great fit, apply now! 5V Video is acting as an Employment Agency for the purposes of this job vacancy. We offer a reward scheme if you can recommend someone for this position, up to £250 for you and an additional £250 to a charity of your choice, 5V Video is recognised talent solutions expert within IoT and Deep Tech working across Europe, the UK, and North America.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. We are building large-scale compute infrastructure to train next-generation robotics models, including transformer-based systems like VLA. As a Staff Engineer, you will lead the design and evolution of our multi-GPU, cross-cloud platforms, driving architecture, reliability, and performance at scale. This role sits at the intersection of DevOps, MLOps, and distributed systems, enabling cutting-edge AI in real-world environments. What You’ll Do: • Lead the design and evolution of scalable multi-GPU infrastructure across cloud environments (AWS, GCP, etc.), • Own architecture and long-term technical direction of model training platforms, • Drive reliability, performance, and cost-efficiency at scale, • Define and implement best practices for infrastructure, DevOps, and MLOps across the organization, • Build and evolve infrastructure-as-code and automation for provisioning, orchestration, and lifecycle management, • Architect and improve CI/CD systems for both infrastructure and ML training workflows, • Optimize distributed training workloads (scheduling, resource utilization, observability), • Partner with ML engineers and researchers to enable efficient experimentation and productionization, • Lead troubleshooting and resolution of complex system issues across distributed, GPU-heavy environments, • Mentor engineers and raise the bar for engineering quality and operational excellence, • Document architecture, systems, and key technical decisions We’re Looking For: • 7+ years of experience in DevOps, MLOps, or infrastructure engineering (Staff level), • Proven experience designing and operating multi-GPU / distributed compute infrastructure, • Experience with GPU scheduling/orchestration (e.g., Kubernetes schedulers, Volcano, Ray, etc.), • Strong experience with Kubernetes and containerized workloads at scale, • Deep expertise in Infrastructure-as-Code (Terraform, Helm, or similar), • Deep familiarity with at least one major cloud provider (AWS preferred), • Strong experience building and scaling CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD), • Proficiency in Python for automation and tooling, • Strong understanding of distributed systems, networking, and system reliability, • Demonstrated ability to lead large technical initiatives and influence system design, • Experience supporting ML workloads or training pipelines (PyTorch, TensorFlow, etc.) Nice to have: • Experience with multi-cloud or hybrid cloud environments, • Background in performance optimization for large-scale training workloads, • Experience in robotics, simulation, or embodied AI systems What we offer: • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Data Architect London Up to £95,000 S/C Clearable We’re looking for a Data Architect to define and govern data architecture across complex programmes. You’ll set data strategy, design modern cloud data platforms, and provide technical leadership to delivery teams working in regulated environments. What you’ll have the opportunity to do as a Data Architect • Define and own enterprise and domain data architecture, • Design cloud‑based data platforms (lake, warehouse, lakehouse), • Establish data standards, governance, and modelling approaches, • Translate business requirements into architectural designs and roadmaps, • Govern delivery across data engineering and analytics teams, • Engage with senior technical and non‑technical stakeholders About the Candidate The right Data Architect should have: • Proven experience as a Data Architect or senior data engineer, • Strong data modelling background (conceptual, logical, physical), • Experience with Azure and/or AWS data services, • Knowledge of data governance, security, and data quality, • Comfortable operating in public sector or regulated environments, • Eligible for SC clearance (5+ years continuous UK residency) What’s in it for you? • Salary from £70,000 to £95,000, • Hybrid working based in London, • 25 Days holiday per annum, • Extensive benefits package, • Continuous training provided for career progression To hear more about the Data Architect role contact Daire McIlhatton at daire.mcilhatton@ansonmccade.com

If you've held any of these roles or used these technologies/skills, this role could be a great fit: Cloud Engineer, AI Engineer, Azure Architect, Platform Engineer, DevOps Engineer, Python Developer, Azure OpenAI, Bicep, Terraform, Entra ID, Generative AI Integration, and FinTech Cloud Specialist.

Job Title: Snowflake / Data Architect Salary: Paying up to £90,000 per annum Location: Wembley London - 5 days on-site Our client, a well-established and diversified multinational organisation, is seeking a Snowflake / Data Architect to join their team. Skills • Solid experience in Data Engineering or Data Architecture, with a minimum of 4 years specialising in Snowflake platform design and governance., • Data Architecture: Mastery of Data Warehouse design methodologies - Inmon, Kimball, and Data Vault 2.0 - with the judgement to apply the right pattern for the right use case., • Technical Skills: Expert SQL and Python; hands-on experience with dbt (data build tool) or equivalent transformation frameworks., • AWS Integration: Solid understanding of AWS IAM, S3 data lake patterns, and PrivateLink for cross-cloud data connectivity., • AI Readiness: Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration., • Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical stakeholders. Duties • Data Modelling Standard: defining Star Schema patterns, Snowflake object hierarchies, and modelling conventions that serve as the Group-wide standard for all data products., • Cross-Cloud Orchestration: Design and implement secure, high-throughput data pipelines connecting AWS S3 and Azure APIs through Snowflake - ensuring data integrity, lineage tracking, and end-to-end auditability., • Snowflake Governance: Own the full security model for the Snowflake platform - RBAC policy design, dynamic data masking, row-level security, and comprehensive audit logging across all environments., • FinOps for Data: Monitor Snowflake credit consumption patterns, identify and remediate high-cost query anti-patterns, and implement warehouse scheduling strategies to reduce operational data spend., • AI Readiness: Architect data stores purpose-built for LLM consumption - including vector databases, embedding pipelines, and RAG-compatible data structures that will serve as the foundation for Bestway's AI product layer., • Data Contracts: Partner with Business Analysts to formally define and document 'Data Contracts' between systems - creating clear, agreed interfaces between producers and consumers across the data platform.

Urgent Contract Enterprise Architect; primary technical driver for shaping and closing enterprise sales opportunities and for supporting long-term customer success through value realisation of. Must have experience in Adobe Experience Platform and Adobe Marketing applications The EA is responsible for defining marketing technology architectures, managing digital engagement roadmaps, and demonstrating the "art of the possible" across data-driven, personalised digital experiences built on Adobe solutions. Adobe marketing technology programmes. The role partners closely with technical, marketing, and executive stakeholders to evaluate current-state environments and business objectives, then design future-state architectures using Adobe's marketing and experience platforms The Enterprise Architect (EA) is the primary technical driver for shaping and closing enterprise sales opportunities and for supporting long-term customer success through value realisation of Adobe marketing technology programmes. The role partners closely with technical, marketing, and executive stakeholders to evaluate current-state environments and business objectives, then design future-state architectures using Adobe's marketing and experience platforms. The EA is responsible for defining marketing technology architectures, managing digital engagement roadmaps, and demonstrating the "art of the possible" across data-driven, personalised digital experiences built on Adobe solutions. Key Responsibilities • Act as the lead technical authority across sales, delivery, and value realisation engagements, • Engage with technical, marketing, and executive stakeholders to assess current-state marketing stacks and define future-state architectures, • Design enterprise-scale, secure, and scalable architectures using Adobe Experience Platform and Adobe Marketing applications, • Define and communicate digital engagement roadmaps aligned to business outcomes and ROI, • Develop and present value-based technical narratives that link Adobe capabilities to measurable business impact, • Support opportunity shaping, solution positioning, and technical decision making, • Rapidly diagnose architectural challenges and produce clear, future-state technical designsEnterprise Architect; Skills & ExperienceAdobe & Technical Skills, • One or more current Adobe Certified Expert certifications, such as:, • Adobe Experience Platform (AEP), • Adobe Journey Optimizer (AJO), • Adobe Analytics / Customer Journey Analytics (CJA), • Real-Time Customer Data Platform (RTCDP), • Adobe Target, • Adobe Workfront, • Strong hands-on experience architecting and integrating Adobe enterprise platforms, including:, • AEP data models and ingestion (batch, streaming, APIs), • Identity, profile unification, segmentation, and activation, • Adobe Analytics and cross-channel measurement, • Personalisation and experimentation, • Workflow and marketing operations enablementAdditional Skills That Set You Apart, • Recent experience building enterprise-level, ROI-driven business cases for marketing technology transformations, • Hands-on experience architecting and/or delivering native, Flutter, or React-Native mobile applications integrated with Adobe platforms, • Experience leading a revenue-focused book of business, including pipeline management, contract/scope review, and value realisation measurement, • Familiarity with generative AI use cases within digital marketing, personalisation, content generation, or insightsMinimum Qualifications, • Previous experience in a consultative architectural role supporting large-scale enterprise digital marketing ecosystems (e.g. Enterprise Architect, Principal Consultant, or senior in-house marketing/technology leader), • Strong working knowledge of the end-to-end digital marketing journey, including:, • Adtech (CDPs, DMPs, DSPs), • Marketing automation and orchestration, • Omni-channel personalisation, • Content management and generation, • CRM integration, • Media activation, • Measurement, analytics, and insights, • Significant hands-on experience with enterprise platforms (Adobe, Salesforce, Oracle, Microsoft, etc.) with emphasis on:, • REST APIs, • Cloud storage, • Structured and unstructured data, • Security and governance, • Data ingress and egress patterns, • Ability to communicate complex ideas through clear technical and business storytelling to technical, marketing, and executive audiences, • Strong written and verbal communication skills, with advanced expertise in PowerPoint and architecture visualisation tools (Lucidchart, Visio), • Bachelor's degree in Computer Science, Digital Marketing, Business (MBA), or equivalent experience, • TOGAF certification preferred Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Location: London Hybrid: 2 days per week onsite Rate: £650 per day Contract: Initial 6 months IR35: Inside IR35.A London Council is seeking an experienced Senior Solutions Architect to lead the design and delivery of secure, scalable and cloud first technology solutions across a major digital trans