Computer support jobs in Reino Unido

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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 Lead 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. 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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 Lead 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. 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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 Lead 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. 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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 Lead 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. 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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 Lead 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. 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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 Lead 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. 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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 Lead 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. 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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 Lead 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. 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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 Lead 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. 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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 Lead 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. 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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 Lead 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. 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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.

Senior Mapping Engineer (Large-Scale HD Mapping) — First Key Hire Circa £80k+, London based Want to work for an advanced start up building real-world autonomous systems? We’re looking for a highly skilled Senior Mapping Engineer to become the first dedicated mapping lead. This is a high-ownership role where you’ll take charge of the high-accuracy, large-scale mapping capability, set the technical roadmap, and grow and mentor a mapping team as deployments scale. You’ll maintain and evolve an existing mapping codebase, enhancing accuracy, stability, and scalability across challenging industrial and autonomous environments. Working closely with perception, localization, and navigation, you’ll ensure themaps are drift-free, up-to-date, and deeply integrated into the autonomy stack—from raw sensor data to validated, deployed map products. What you’ll do • Own and advance scalable LiDAR- and vision-based mapping pipelines., • Build and improve 2D/3D representations: occupancy grids, vector/HD maps, semantic layers, environment models., • Lead multi-sensor fusion (LiDAR, cameras, radar, GNSS/INS, odometry) into coherent, consistent map outputs., • Deliver large-scale capabilities like multi-session mapping, fleet workflows, map versioning, delta updates, and distributed map generation., • Maintain tight integration with SLAM/Localization to ensure stable, drift-free deployment performance., • Define KPIs and validation frameworks for map accuracy, completeness, and consistency., • Translate state-of-the-art research (SLAM, semantic mapping, multi-modal reconstruction) into production systems., • Set best practices and technical standards to support future team growth. Experience required • MSc/PhD in Robotics, Computer Vision, Computer Science, or related field., • 4–5+ years hands-on mapping experience in autonomous systems or robotics., • Deep expertise in LiDAR/point-cloud processing (PCL, Open3D, custom pipelines)., • Strong background in vision-based mapping / visual SLAM and multi-sensor fusion., • Proficiency in C++ with strong experience in ROS2., • Solid grounding in estimation, optimization, geometry, kinematics, and TF2. Why join You’ll own a mission-critical autonomy capability, shape the map product and technical direction, work on live deployments, and step into a clear path to build and lead your own mapping team.

Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Data Analyst - £67,500, • Data Analytics Analyst - £80,000 The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. • Microsoft excel - to expert level., • Learn SQL - the programming language used for extracting data from more complex databases., • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations. Please note this is a training course and fees apply

Cyber Security Placement Programme - No Experience Required Are you looking to benefit from a new career in IT and Cybersecurity? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level IT and Cybersecurity staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge and qualifications for you to secure a professional job and career in IT. You will also have the reassurance of a job guarantee (£26K-£35K) upon completion. Whether you are working full time, part time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in 4 easy steps. Step 1 - Accredited Online Training The first step is completing a selection of professional, accredited and industry recognised courses from CompTIA which is the global leader in IT Technician, Networking and Cybersecurity training. The training is delivered via multimedia rich video tutorials, practice labs, presentations and quizzes through a portal that you study from home. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Step 2 - Practical Training You will gain practical experience by using practice labs which enable you to practice and master what you have learned. Gaining practical hands-on experience gives you confidence to be proficient in your first IT role. This combination of theoretical and practical skills is what line managers need you to have to be effective and confident in your role. Step 3 - Official exams You will then go on to sit the CompTIA A+ and the CompTIA Network+ exams to give you the official certifications which will be recognised not only in the UK, but worldwide. The CompTIA A+ is the most asked for certificate for entry-level IT roles and the certification most IT Managers start their own careers with. All PCs in a professional environment are networked to servers, cloud based or otherwise and the Network+ gives you a needed foundation level of knowledge in networking. Step 4 - IT Technician placement (£26-£35K) We work with you to secure your first role as an IT Technician, with a starting salary of anywhere between £26K-35K. Ideally you will need to gain two years’ experience in this role before you can progress into a cyber security role. While working as an IT Technician, we will release your second batch of training which is specifically designed to qualify you to move into the cybersecurity field. This official, accredited training consists of online training, practical training and an official exam (CompTIA Security+). Further we can tailor the package to include courses like the Certified Ethical Hacker and Certified Network Defender depending on your requirements and future direction. Cybersecurity Role Once you have completed all the mandatory training in step four and have gained two plus years experience in the IT industry, you will be ready to move into higher paying Cybersecurity roles. Our recruitment support team specialises in the IT and Cybersecurity space and roles at this level have an average starting salary of £35K. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) and the EC-Council to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level IT staff, we can guarantee you will secure a job upon completion of your study programme or we will refund you up to 100% of your course fees back. This is subject to our terms of learning/ terms of business. Passionate about starting a career in IT? Apply now and one of our friendly advisors will be in touch. Keywords: IT Technician, IT Helpdesk, IT Security, IT Field Engineer, Cyber Security, IT Support, 1st Line Support, 2nd Line Support, IT Training Course, Cyber Training Course, Cyber Security Course, First Line Support, Second Line Support, IT Security Engineer, IT Engineer, CompTIA A+, CompTIA Network+, CompTIA Security+, Ethical Hacker Please note this is a training course and fees apply

Salary: UQT - UPR (Outer London Weighting) + well-being cash plan + pension scheme (TPS) + additional Lift Schools benefits Hours: Full Time Contract type: Permanent Start date: Negotiable start date Lift Bexleyheath is seeking a talented and enthusiastic Media Teacher to join our forward-thinking team. In this exciting role, you'll teach Media Studies across Key Stages 4 and 5, while also contributing to the wider delivery of combined Computer Science, Business and Media to Key Stage 3. We're looking for someone who can bring creativity, curiosity, and real-world relevance into the classroom, helping our students explore how media, technology, and enterprise shape the world around them. Whether you're an experienced teacher or early in your career, you'll find a welcoming, collaborative environment where your ideas are valued and professional growth is encouraged. We're looking for someone who: • Is a qualified media teacher with QTS or working towards, • Can teach engaging, inclusive lessons across KS4 and KS5., • Enjoys making links between Media, Computer Science, and Business. Lift Bexleyheath is a welcoming and inclusive secondary school with a strong sense of community. Our school serves a diverse student population, and we are proud of the relationships we build with our families and wider community. The school is located in Bexleyheath, just 30 minutes from central London by train, and offers an excellent environment to both live and work. With a brand-new sixth form centre and investment in teaching spaces, it's an exciting time to join our team. We're proud to say that Lift Bexleyheath is on a journey of sustained improvement and innovation. You'll be joining a school with strong leadership and a shared determination to achieve the very best for every student. Who is Lift Schools? We're a diverse and inclusive network of schools with one clear mission; to provide an excellent education to every child - in every classroom, every day. And we do this across each of our 57 schools. As with our students, we want our team to be empowered to do their best work, supported by the best leadership they've ever had. We acknowledge and appreciate the exceptional efforts of everyone here in making this an incredible organisation. We offer you: • Career development and training: Access a wide range of statutory and developmental training to boost your career., • Our partnership with One World powers our innovative Instructional Excellence Program. We also offer a comprehensive range of CPD programs, including Ambition Institute's Early Career and NPQ offerings, tailored to both individual and network needs., • Generous benefits: From your pension plan to healthcare and financial support, we've got you covered. Closing date: 6 February 2026 Interview date: 26 February 2026 We reserve the right to close this vacancy early should we receive an overwhelming response. All candidates are advised to refer to the job description and person specification before making an application. Lift Schools are committed to ensuring the highest levels of safeguarding and promoting the welfare of our pupils, and we expect all our people and volunteers to share this commitment. We adopt a fair and consistent recruitment process which is inline with Keeping Children Safe in Education guidance. This includes online checks for shortlisted candidates. All offers of employment are subject to an Enhanced DBS check, references, and where applicable, a prohibition from teaching check. Lift Schools embraces diversity and promotes equality of opportunity. Job share, part-time and flexible working opportunities will be considered. We are a Disability Confident Employer and there is a guaranteed interview scheme for candidates with disabilities who meet the minimum selection criteria. PandoLogic. , Location: London, ENG - SE25 5PY

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced QA professional seeking new and exciting opportunities? While we may not have an immediate vacancy, we’re always on the lookout for talented individuals to join our QA Talent Pool. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For We want to connect with QA professionals who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • A degree or equivalent qualification in Chemistry, Life Sciences, Engineering, or a related technical discipline., • Alternatively, relevant industry experience in a regulated environment such as pharmaceuticals, biotechnology, or manufacturing., • Experience working in GMP/GLP-compliant environments, with a strong understanding of regulatory standards., • Familiarity with analytical techniques and equipment used in pharmaceutical testing., • Strong attention to detail and a methodical approach to problem-solving., • Excellent communication and interpersonal skills, with the ability to build trust and collaborate across teams., • Comfortable working in fast-paced, dynamic environments with competing priorities., • Computer literacy, including proficiency in Microsoft Office and site-specific systems., • A team-oriented mindset, with flexibility and a proactive attitude toward continuous improvement., • Demonstrated ability to apply GMP knowledge in decision-making and process improvement. What You Might Be Doing As a QA professional at GSK, you could get involved with: • Reviewing and approving quality control data to support the timely release of pharmaceutical products., • Authoring and managing GMP documentation, including SOPs, protocols, and reports., • Supporting inspections and audits, ensuring readiness and compliance with regulatory standards., • Participating in quality events such as deviations, investigations, and change controls., • Providing coaching and guidance to improve performance and drive continuous improvement., • Conducting document control activities, including printing, reconciliation, and archiving., • Collaborating with cross-functional teams to resolve quality issues and enhance processes., • Leading or supporting analytical testing, including techniques like HPLC, Karl Fischer, and dissolution testing., • Maintaining and calibrating analytical equipment, ensuring accuracy and reliability., • Investigating Out-of-Specification (OOS) results and contributing to root cause analysis., • Reviewing manufacturing and packaging documentation for clinical and commercial batches., • Assessing temperature excursions and managing customer complaints in line with quality procedures. Why Join Our Talent Pool? • Be the first to hear about new QA roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. How to Join If you’re passionate about quality assurance and ready to explore future career opportunities with GSK, please submit your details using the application form below. We’ll keep your details on file and reach out as soon as roles become available. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

Position Overview We are seeking a motivated and detail-oriented individual to join our team as a Patient Coordinator. In this role, you will play a vital part in supporting both the New Patients Sales team and the Patient Care teams by providing administrative and operational assistance. This position offers an exciting opportunity to contribute to the efficient functioning of our clinic and ensure a seamless experience for our patients. Key Responsibilities Administrative Support: • Assist in managing administrative tasks related to patient appointments, including scheduling, rescheduling, cancellations and billing, • Maintain accurate and up-to-date patient records and documentation within the clinic's systems, • Handle incoming inquiries from patients, providing assistance and information as needed Patient Booking and Communication • Communicate with patients via phone and email, confirm details, and provide pre-appointment instructions, • Ensure timely and effective communication with patients regarding appointment changes, reminders, and follow-up care instructions, • Coordinate with the clinical teams to prioritise patient bookings and manage appointment schedules efficiently Operational Support • Assist in updating and maintaining operational procedures, protocols, and guidelines to optimise workflows and enhance patient care delivery, • Collaborate with cross-functional teams to identify areas for improvement and implement solutions to enhance operational efficiency Project Assistance • Undertake small-scale projects and initiatives as assigned to support strategic objectives and operational excellence, • Where support is needed, help with conducting research, gather data, and prepare reports to facilitate decision-making and project planning processes Requirements • Previous experience in a healthcare or clinic setting, particularly in patient administration or operations support roles, • Excellent communication skills, both verbal and written, with a professional and empathetic demeanour, • Strong organisational and time management abilities, with a keen attention to detail, • Proficiency in using computer systems and software for data entry, scheduling, and document management, • Flexibility to adapt to changing priorities and willingness to take on new responsibilities as needed About UK Vein Clinic UK Vein Clinic are a team of leading vascular surgeons and specialist practitioners that are dedicated to providing high-quality patient outcomes using minimally invasive varicose vein and thread vein treatment techniques. With varicose vein treatment increasingly restricted within the NHS, UK Vein Clinic was created to deliver accessible options to patients at a price that’s fair. Driven by the latest evidence and technology, we’re really proud to be helping our patients get back to doing the things they love most. We’re an organisation that’s driven by our patients, and giving them the best experience and outcome possible.

Functional Assessor – WCA Role Location: Wandsworth Salary: £49,934 rising to £50,934 up to+ 10% Bonus Registered Nurse RGN, Physiotherapist, or Occupational Therapist - Hybrid role Do you want to take your nursing, occupational therapy or physiotherapy career in another direction? Are you seeking a role where your attention to detail, compassion and empathy are matched with a work-life balance, education and opportunities to develop into the medico-legal profession? Or perhaps you would like to transition your career into Occupational/ Vocational pathway? Our client is seeking Nurses, OTs, and Physiotherapists to join their organisation in Wandsworth. Day to Day You will assess up to a maximum of four customers per day, taking your clinical observations and questioning and creating a written report which you will pass on to the Department of Work and Pensions (DWP) who will make a decision on support for the customer, your report will only form part of that decision. You will assess a benefit called Personal Independence Payment (PIP). Training Customers will have multiple clinical issues; you will be given industry-leading training provided by my client’s amazing clinical tutors. The course will provide you will the skills to support customers and transfer your current medical skills and knowledge to the level required for the role. Full training is approximately 6 months duration, during which you will be paid. This role will maintain your registration with the NMC or HCPC and you will receive revalidation support to maintain your registration. Development Once you have completed their comprehensive training, the investment in you does not end. You will have ongoing CPD, with over 100 hours CPD protected per annum, support with revalidation and the opportunity to develop your career within the organisation. You will be allocated a clinical supervisor and can study for the Diploma is Disability Assessment Medicine accredited by the FOM Your Requirements A Nurse, OT or Physiotherapist who is working primarily in-patient facing roles dealing with a wide range of clinical conditions. Minimum of 1 year working experience or above. Computer or IT skills are a distinct advantage. Typing or keyboard skills with an ability to type at 30 words per minute. The client group requires clinicians who are highly literate, have attention to detail and can display highly adaptable communication skills.

About Us DaVita UK delivers life-saving kidney care to over 2,000 patients across England & Wales. DaVita UK is one of the 14 countries which form DaVita International focusing on transforming care and improving quality of life for people receiving dialysis treatment globally. When you join the DaVita Village, you're joining a winning team with Community First, Company Second culture. We are proud to be an independent, nurse-led provider, working in partnership with the NHS to deliver the highest standards of care using cutting-edge technology in welcoming, modern environments. Role Overview The Systems & Application Support Specialist is responsible for delivering high-quality first and second-line support across DaVita UK, with a strong focus on the organisation’s clinical and healthcare applications alongside standard business applications and core IT infrastructure. This role supports end users with technical issues, application troubleshooting, onboarding/outboarding processes, and ongoing improvements to system performance and reliability. The Specialist will work closely with the IT Manager and an external IT support partner to ensure seamless support operations, effective ticket handling, and alignment with enterprise IT standards. A key aspect of the role is the management and optimisation of DaVita UK’s application stack, including EMR platforms, healthcare-specific tools, SSO integrations, and associated workflows. The Specialist will also contribute to IT projects, cybersecurity initiatives, and continuous improvement activities across the organisation. Key Responsibilities End-User Support • Provide first and second-line support for all internal users across hardware, software, EMR platforms, and healthcare applications., • Monitor, triage, and coordinate support tickets with the external IT partner to ensure timely resolution in line with SLAs., • Escalate issues as needed to minimise operational disruption and maintain business continuity., • Deliver a high standard of customer service across all interactions. Application & System Support • Provide technical support for EMR systems, clinical applications, and business software., • Troubleshoot application issues, identify root causes, and implement corrective measures., • Perform routine maintenance, updates, and configurations across systems and applications., • Monitor system performance and proactively address emerging issues. User Onboarding, Offboarding & Induction • Manage user account creation, modification, and deactivation across systems, applications, and SSO environments., • Prepare and configure user devices, application access, and network permissions., • Conduct IT inductions for new employees, ensuring understanding of essential tools and security protocols., • Complete exit procedures ensuring secure access removal and compliance with data policies. IT Training & User Enablement • Deliver basic IT training to improve user independence with applications and systems., • Provide one-to-one or group training sessions for new systems or software rollouts., • Create user guides or reference materials where required. Collaboration with IT Manager & External IT Partner • Align support priorities, processes, and improvement initiatives with the IT Manager., • Serve as the primary contact for escalations and application-related inquiries with the external IT provider., • Assist in implementing new technologies, ensuring alignment with security, compliance, and operational standards. Participation in IT & Application Projects • Support the planning, execution, and delivery of IT and application-related projects, including EMR enhancements, integrations, and migrations., • Assist with evaluating new technologies, application solutions, or feature updates., • Work cross-functionally to ensure project outcomes meet organisational needs. Data Privacy, Security & Continuous Improvement • Maintain and enforce data protection, security practices, and access controls across all systems., • Participate in security audits, assessments, and improvement initiatives., • Support backup, recovery, and business continuity processes., • Help refine IT processes and documentation to drive efficiency and consistency. Cybersecurity & Compliance • Support cybersecurity initiatives, especially those relating to application access, SSO, MFA, and EMR data protection., • Assist with maintaining Cyber Essentials certification., • Coordinate with internal and external partners on vulnerability remediation and penetration testing activities. Alignment with Enterprise Standards • Ensure all systems, applications, and support activities align with DaVita corporate IT policies and standards., • Collaborate with global teams to implement enterprise-wide updates, security measures, and application integrations. Inventory & Asset Management • Maintain accurate records of IT assets, including hardware, software licenses, and application accounts., • Support procurement processes for new hardware, software, or subscriptions. Required Qualifications • Bachelor’s degree in Information Technology, Computer Science, or equivalent professional experience., • 4+ years’ experience in IT support or application support roles., • Experience supporting EMR systems or healthcare-related applications., • Proficiency in Windows, MacOS, and common enterprise software environments., • Understanding of networking fundamentals (TCP/IP, VLANs, Wi-Fi, firewalls)., • Experience with SSO technologies (e.g., Azure AD, Okta, ADFS)., • Strong analytical and troubleshooting skills., • Excellent communication skills for supporting users and collaborating with vendors., • Familiarity with user access management, onboarding and offboarding processes. Preferred Skills • Prior experience supporting clinical or healthcare information systems, including Electronic Medical Records (EMR/EHR) platforms., • Knowledge of cloud services (Azure, AWS)., • Certifications such as CompTIA A+, Network+, Microsoft Certified: Azure Administrator Associate., • Experience working with external IT service providers., • Knowledge of Cyber Essentials frameworks and penetration testing processes. Personal Attributes • Strong customer service mindset and empathetic communication style., • Highly organised with strong time management skills., • Proactive problem solver able to anticipate and address issues early., • Commitment to data privacy, security, and compliance., • Ability to work independently and collaboratively with team members and partners., • Adaptable, resourceful, and eager to support continuous improvement. What can you expect when you join? • Competitive Salary, • Company Pension Scheme, • 35 days' paid leave per annum, including bank holidays, • Life Assurance to 3 times annual salary, • Retail discount scheme membership, • Free onsite parking, • A commitment to your training and development, • A "community first, company second" culture based on Core Values that really matter, • An exciting, collaborative and driven multinational environment, • Live our mission: To be the Provider, Partner, and Employer of Choice, • Dedication, above all, to caring for our patients and teammates

We are seeking an experienced ICT Design Consultant to join a dynamic and innovative team. This is a niche role offering a unique opportunity to work on high-profile projects in London or from an office elsewhere in the UK. The successful candidate will play a crucial role in digitally enabling the built environment, ensuring cutting-edge technology solutions are seamlessly integrated into various infrastructure projects. Key Responsibilities: • Provide technical leadership and support for ICT projects, from strategy formulation to design and implementation., • Design and review ICT physical infrastructure, including structured cabling systems, building control, and communication systems., • Author and review technical specifications, design documents, and performance standards using tools like Revit, AutoCAD, and BIM., • Conduct site visits for compliance monitoring, collaborating closely with multidisciplinary teams., • Engage with client stakeholders, lead technical tasks, and manage junior staff on projects., • Contribute to ICT masterplans, feasibility studies, and develop innovative digital technology solutions., • Ensure designs conform to client requirements, health and safety laws, industry standards, and best practices. Qualifications: • Degree in Electronics Engineering, Computer Sciences (MEng, BEng, BSc), or related field., • Chartered Engineer or working towards chartership., • Minimum of 4 years' experience in ICT consultancy or engineering roles., • Proficiency in designing ICT systems such as structured cabling, IoT, satellite communications, GSM systems, and Wi-Fi mapping., • Experience with WiredScore or other technical benchmarking for buildings., • Strong ability to produce schematic diagrams, specifications, project reports, and conduct site inspections., • Excellent communication skills, both written and spoken English., • Proficiency in Microsoft Office applications and Autodesk software., • Membership in IET, BCS, BICSI RCDD, or similar is a plus., • Self-motivated with strong problem-solving skills and client-facing capabilities. This is an excellent opportunity to advance your career with a leading consultancy, gaining global experience and working on diverse projects.

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers. This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded in 2023, the company has already secured significant early-stage funding, including a $10m Seed round in 2024. The founding team is composed of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real-world problems with meaningful societal impact. You will be joining a highly collaborative and talented team that is revolutionising how operational planning is conducted at scale and speed. Primary Responsibilities: • Shape the company’s AI trajectory by developing AI solutions to solve high-stakes problems, • Collaborate closely with military experts, along with the product team, to identify and capitalise on high-impact opportunities, • Keep the company at the forefront of innovation by exploring and applying the latest research Requirements: • MSc in Machine Learning, Computer Science, or a related field, • 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation, • Strong software engineering skills with a focus velocity, • Excellent communication skills and the ability to flourish in a team, • Located in London/Paris and open to working in office Tech Stack: • Python FastAPI, • Python, Typescript, or React, • Open source LLMs, • Building for production Benefits Currently Offered (likely to improve as company grows): • 100% coverage for travel expenses, • Childcare support, • Min. 3 months fully paid parental leave, • 25 days holiday + bonus days for company closure, • Subsidised lunches in office, • Gym membership, • Private medical insurance, • Subsidised coaching/training, • Work-from-home allowance to cover office equipment, desk, chair, monitor etc., • Fertility support benefits, including financial support for IVF, • Menstrual leave/congé menstruel, • Company off-sites twice per year Interview process: • Introductory interview – 45 mins, • Live coding task – 45 mins, • On-site interviews + meet the team – half day, • Final interview with CEO – 30 mins

ML Platform Engineering Manager – AI Infrastructure 📍 Central London (3 days on-site) | 🕒 Full-time We’re an AI-first technology company building tools that help people and brands create beautiful visual content at scale. Our products are powered by cutting-edge machine learning and used by millions worldwide—and we’re just getting started. We’re now looking for an ML Platform Engineering Manager to lead the team responsible for the infrastructure behind our AI models. This is a hands-on leadership role at the intersection of engineering, research, and product—perfect for someone who loves solving complex systems problems and bringing AI from prototype to production. What You’ll Do • Lead and mentor a team of backend engineers focused on ML and AI infrastructure, • Partner closely with ML researchers to create, model prototypes, • Design and build scalable, reliable systems to serve AI models in real time, • Own architectural decisions across model serving, performance, and reliability, • Foster a strong engineering culture through coaching, feedback, and support, • Ensure our platforms are intuitive for developers and performant for users What We’re Looking For • 6+ years of backend or platform engineering experience, • 1–3 years of people management or technical leadership experience, • Strong background in designing and scaling distributed systems, • Solid experience with cloud platforms, APIs, and observability/monitoring, • Proven ability to lead projects from concept through production, • Excellent communication and collaboration skills, • Exposure to (or strong interest in) ML model serving, GPUs, or AI infrastructure is a plus, • A degree in Computer Science or a related field is helpful, but not essential Why Join Us? • Work at the forefront of applied AI, • Build products used by millions around the world, • Join a smart, friendly, and fast-moving team, • Hybrid working: 3 days a week in our Central London office, • Collaborate with talented teammates across multiple countries

Remote | $50,000 -75,000 Mid – Senior QA Engineer About the Company Our client operates at the forefront of crypto infrastructure, providing stablecoin liquidity solutions and seamless onboarding rails for Web2 and Web3 applications. Their platform abstracts the complexity of blockchain interactions, enabling smooth cross-chain movement and frictionless user experiences that help drive the next wave of adoption in DeFi. They are a remote-first organisation, so strong communication and collaboration skills are essential. The team meets in person quarterly at global locations for work sessions mixed with activities like skiing or surfing. About the Role After a strong year scaling their consumer products, the company has expanded into B2B and is experiencing rapid growth backed by clear product-market fit. With a modernised tech stack and streamlined operating model, they’re building fast and scaling even faster. They’re now looking for a Medium – Senior QA Engineer with solid automation experience to join the team. You’ll work closely with developers to ship new features, run manual test cycles, and write automated test suites, ensuring the platform maintains the highest reliability and quality standards. Responsibilities ● Analyse technical requirements and define test strategies for new features ● Plan and execute manual tests for newly developed functionality ● Build and run automated tests covering regression and core flows ● Maintain and enhance existing automation frameworks ● Collaborate closely with the QA team to uphold quality standards ● Support release management during deployments Requirements ● BA/BS in Computer Science, Information Systems, Software Engineering or similar ● Minimum 5 years of experience as a QA Engineer ● At least 2 years of experience in test automation ● 2+ years working with TypeScript ● Strong experience with frontend and Web UI automation using Playwright ● Extensive experience with REST API test automation ● Required: hands-on experience in the crypto and Web3 space ● Experience querying and validating state in databases (Mongo, SQL, Postgres) ● Knowledge of BDD principles ● Familiarity with CI/CD environments ● Solid understanding of Agile methodologies ● Strong team player with the ability to learn quickly

Junior DevOps Engineer | On-site in London | AWS, Kubernetes, Terraform, Python | £70K + Benefits Overview A fast-growing enterprise SaaS company is hiring Junior DevOps Engineers to support the deployment of a cloud-based platform used by large, global organisations. The role focuses on delivering secure, automated deployments into customer cloud environments while improving internal DevOps tooling and infrastructure. Core Technical Requirements • Experience with customer-facing cloud deployments, • Strong understanding of modern cloud applications and infrastructure, • Cloud platforms: AWS and Azure, • Kubernetes, Terraform, Python, • Solid software engineering background with ability to code, • Strong computer science fundamentals Role Details & Requirements: • 5 Days p/ week in London, • Paying £70K, • Ideally looking for 1-3 years experience, • Must've been to a Russell Group (or Ivy League) University Junior DevOps Engineer | On-site in London | AWS, Kubernetes, Terraform, Python | £70K + Benefits

We are partnered with a leading fixed income hedge fund in London seeking a talented C# Developer to join their front-office technology team. The fund has a strong and consistent performance track record and has invested heavily in its quant and tech capabilities as part of a wider growth plan. You’ll work closely with the quant team as well as traders and other front office stakeholders to build and enhance core trading systems, research tooling, and data-driven applications. Projects span proprietary trading system development, front-office tools, and the application of machine learning across the investment process. The environment is fast-paced, collaborative, and a highly technical one where code quality and low latent systems are a top priority. This team has a history of developing people’s careers and offers a broad and exciting range of new and existing projects for hires to get stuck into. These will consist of both back-end and front-end projects with 1 week sprints and release cycles, PR review processes and continuous development to master. This is a team we have worked with for a number of years and have a close, direct working relationship with the CTO. We have placed in the team multiple times so are able to go into detail regarding set up of the team and role The team primarily uses C# for core systems and Python within quant and data teams. C# and .Net experience and knowledge are essential for this role, but the fund will consider exceptional candidates who work with other likeminded OOP languages (C++, Java, Go). When it comes to financial markets experience, there is a particular interest in Fixed Income and Rates, but these are not essential, they will be open to other asset classes. If you are working in a front office environment or experienced with business critical and very low latent systems, then this role could be a good fit. The fund looks for low-ego, high-performing self-starters who enjoy ownership, teamwork, and delivering pragmatic, commercial solutions. The CTO is particularly interested in candidates that are passionate about technology and want to grow and learn within a fast paced and highly performant environment. You’ll have direct exposure to PMs, quants, and the CTO, and will contribute across design, architecture, and production support. Requirements: • Strong academic background in Computer Science or related field, • Excellent programming skills in C# and .Net, • Experience working with large data sets, • 1–5 years’ experience in a relevant software engineering role, • Interest in finance; fixed income or systematic experience a plus, • Positive, pragmatic, and collaborative mindset This is a rare opportunity to join a high-performing, technology-driven hedge fund with a genuinely collegiate culture. Due to demand, this role is advertised anonymously. If preferred, submit a blank application and we will contact you before requesting a CV. We can only respond to highly qualified candidates.

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: RippleX is dedicated to empowering the builders of tomorrow on the XRP Ledger (XRPL), one of the world’s fastest and most reliable public blockchains. We believe in democratizing the digital economy by providing practical support, empowering a community of developers, and offering the expertise of a visionary technology company. The XRPL is a decentralized, public blockchain led by a global community of businesses and developers looking to solve problems and create value. Proven reliable over more than a decade of operation and closing over 90 million ledger, the XRPL offers streamlined development, low transaction costs, high performance, and sustainability. We are looking for a senior engineer to help us maintain this high technical bar, while building innovative solutions to ensure the XRPL can power the growing needs of the global digital economy. WHAT YOU’LL DO: • Increase the capabilities, performance, scalability, and reliability of the XRP ledger., • Participate in the full software development lifecycle, including architecture, technical design, C++ development, bug fixing, as well as functional and performance validations., • Be part of the open-source XRP ledger community, setting high standards for coding, testing, and deployment., • Bachelor’s in computer science or similar, and 8+ years of software product development experience using C++., • Strong experience with large scale distributed systems development and architecture., • Prior team leadership and mentorship experience., • Passion for blockchain technology and its potential benefits., • Ability to learn new technologies and languages quickly., • Ability to independently solve highly complex problems with creative solutions. WHO WE ARE: Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

A high-quality hedge fund is building out its quantitative risk and portfolio analytics capability and is looking to hire a Quant / Quant Developer to work directly with the CRO and Portfolio Managers in the risk and investment team. This is a hands-on, build-the-platform role focused on real decision support - not a reporting, model validation, or back-office risk seat. What you’ll be doing • Build PM-facing portfolio risk & analytics tools Design and run: • Stress tests & scenario analysis, • VaR & Credit VaR, • Tail risk & drawdown analysis Develop tools to: • Understand portfolio risk, • Support hedging decisions, • Explain P&L and risk drivers, • Work directly with PMs on:, • Portfolio construction, • Risk allocation, • Forward-looking scenario analysis, • Backtest strategies and trade ideas, • Help build a scalable, institutional-grade risk & analytics platform Tech & skills • Strong Python (core development language), • Good OOP / engineering discipline, • Experience building:, • Analytics libraries, • Research frameworks, • Portfolio or risk tooling, • Excel / VBA useful but not core, • C# a plus Background • 2–5 years experience as:, • Desk Quant, • Risk Quant, • Quant Developer, • Portfolio Analytics Quant, • Strong academic background in:, • Maths, Physics, Engineering, or Computer Science, • Comfortable working directly with PMs and front-office teams Asset class exposure (nice to have) • Credit, • EM, • Rates, • Multi-asset portfolios Why this is interesting • Middle-to-Front-office, PM-facing role, • Real ownership of the analytics & risk stack, • High impact on how the portfolio is built and hedged, • Not a back-office or reporting function

About Buildots: Buildots is transforming construction management with AI and computer vision. Our AI-powered SaaS platform automates on-site progress tracking, giving construction teams the tools to plan smarter, improve efficiency, and cut costly delays by up to 50%. The $13 trillion construction industry has seen little disruption in the past 150 years. Until now. Backed by leading VCs and industry pioneers, Buildots enables a new, performance-driven approach. Deployed on hundreds of projects across North America, Europe and the Middle East, Buildots is already reshaping the future of the world's largest industry, and we're on track for rapid expansion in 2025. Buildots’ customers include top global contractors, consultants and owners – Sir Robert McAlpine, Kier, Wates, Intel and Berkeley Homes, to name a few. What is Construction Solution in Buildots: The Construction Solution team is a prominent component of the Buildots Operations department. The team is responsible for the creation of our clients' construction projects within the Buildots system and managing the technical relationship with our clients over the life of the project. The role will involve interpretation of construction documentation (models, plans and schedules), discussion with our clients and work with internal design tools to produce the final Buildots digital twin of our clients project. The Construction Solution team in Buildots is staffed by construction professionals (site and project managers from top UK contractors) with site experience, who bring their expert site knowledge to the role. The team have extensive experience in site and trade management and use this knowledge to create a holistic understanding of how a construction project is built. The role is ideally suited to construction professionals who are looking to enter the technology industry whilst still retaining and reinforcing their existing expert construction knowledge. What you'll do: • Bring your knowledge to the creation of the ‘Buildots solution’ for global construction projects, • Conduct frequent construction-focused technical discussions with our customers, • Be a construction expert within the company to guide other internal teams, • Work by Buildots design guidelines combined with clients’ specific requirements to create a digital twin that allows them to maximise value of the Buildots Product and serves the client’s needs., • Understand the complexities of specific project’s construction methodologies to allow you to create a Buildots system that accurately represents how the client will be building the project, • As part of the overall Construction Solution team, use your experience to constantly contribute to the optimisation of our unique design methodology to improve quality and increase efficiency, • Take a prominent part of our clients’ implementation stage, by meeting our clients at discovery sessions, understanding their specific needs, while representing Buildots product and strategy., • Collaborate with various teams, such as Account Management, Customer Success and Product, in order to support the project and our clients' needs Requirements: • Five years of experience on construction projects in a mainly site based role, • Working knowledge of MEP systems and installations, • Ability to effectively communicate with construction professionals on site and remotely, • Engineering or construction management (or equivalent) degree, • Working knowledge of 3D software and BIM, • Comfortable with working in a fast paced, dynamic and changeable environment, • Professional verbal and written communication skills in English, • Great interpersonal skills & interface management, • Strong organisational, time management, and problem-solving skills, • Tech savvy, proficient in computer applications, MS Office and G Suite, • Be able to attend the London office 3+ days per week Advantages: • Experience working on residential, commercial or industrial building projects, • Experience with Navisworks, • Experience with Microsoft Project, Power Project or P6, • French/German language skills If you don’t meet every single requirement, we still encourage you to apply. Your unique experiences, skills, and passion may be exactly what we’re looking for. *By submitting your application, you agree that Buildots will process your personal data in accordance with ___.

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. We champion the builders of tomorrow by providing the infrastructure, tools, services, programs and support for creation on one of the world’s fastest, most sustainable and consistently reliable public blockchain - XRPL. By supporting an open community of developers, they can advance the solutions and innovation needed to allow businesses, consumers, institutions and governments to fuel the engine of a new digital economy. We believe that realizing the Internet of Value hinges on how easily new technology works for more people, and how effectively we can change the way the world operates today. Ripple Custody is helping more people participate in the digital economy by providing enterprise grade custody solutions for large financial institutions and crypto native companies. We have a big vision and the ambition to match. We are seeking the same in engineering managers. You also see the huge potential of this crypto custody and have the entrepreneurial spirit and technical excellence to realize the vision we have. There is a lot of work to get there but we are committed to building out the best team to achieve this. We’re looking for a results oriented hands-on engineering leader to help manage and guide teams building core security features for Ripple Custody. WHAT YOU'LL DO • Provide technical and business leadership defining Ripple Custody’s long term strategy, ensuring flawless execution building secure software and systems that are scalable and reliable, • Own and deliver the roadmaps of multiple programs while driving technical and operational excellence across the engineering organization, • Mentor and guide the professional and technical development of your team, both managers and engineers, • Provide hands-on technical leadership, • Encourage and drive engineering best practices, • Collaborate with stakeholders across Ripple and the customer community at large, • Establish team objectives and quarterly plans in alignment with business and organizational goals, • Translate technical concepts into tailored content for different audiences including engineers, business and technical leaders, • Scale the team by attracting and mentoring great leaders and engineers at various levels of experienceWhat we're looking for, • 10+ years of hands-on software development leadership experience, managing managers and teams of engineers., • Solid leadership and communication skills., • Hands-on experience building highly secure, scalable distributed systems in modern technology stacks, • Experience with Agile development with a focus on robust software design, scalability and security., • Eagerness to work openly and collaboratively with a diverse team, with a positive attitude and a passion for sharing knowledge., • A technical subject matter expert who provides technical leadership and shares expertise with a growing team of engineers. Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

Autonomy & Geospatial Systems Integration Engineer Location: London, UK or Linköping, Sweden Industry: Aerospace / Defence / ISR / UAV Systems Employment Type: Full Time Overview: A leading innovator in spatial intelligence and mission-critical technology is seeking a Software Integration Engineer to join its Mission Systems team. The organisation builds advanced geospatial, AI-powered, and ISR solutions that integrate into platforms such as UAVs, edge computing systems, and defence environments. This is a hands-on, customer-facing engineering role for someone who enjoys solving complex integration challenges, working with cutting-edge sensor data, and enabling real-world impact in mission environments. You will work at the intersection of software, embedded systems, payload integration, and customer operations, supporting the deployment of next-generation spatial intelligence tools into UAV and ISR ecosystems. Key Responsibilities: • Serve as the technical lead for solution integrations involving satellite imagery, full motion video, and related sensor data into UAV visual positioning, odometry, and navigation systems., • Collaborate with UAV OEMs, defence integrators, and mission customers to support system demonstrations, prototyping, and field testing., • Conduct bench and field integration activities, including configuration of companion computers (e.g., NVIDIA Jetson, Raspberry Pi), autopilot stacks (PX4, ArduPilot), and analysis of telemetry, imagery, and navigation data., • Assess integration feasibility, including SWaP considerations and solution design, ensuring successful deployment in demanding environments., • Develop integration procedures, test plans, troubleshooting documentation, and technical guides., • Provide feedback to internal engineering teams to enhance product performance, usability, and reliability under operational conditions., • Contribute to technical materials for RFP/RFI responses and solution proposals., • Collaborate with internal product, engineering, and field teams to define interfaces, data flows, and integration paths between software products and OEM systems., • Support the technical articulation and positioning of capabilities to high-value customers. Minimum Qualifications: • Bachelor’s degree in a STEM field (Aerospace, Computer Science, Electrical/Mechanical Engineering, Mathematics) or equivalent practical experience., • Experience supporting ISR, UAS, aerospace, or defence system integrations., • Strong proficiency in Python and C++ for integration, SDK adaptation, and prototype development., • Experience with ISR-relevant imagery/video formats: GeoTIFF, MPEG-TS, KLV metadata, H.264/H.265, STANAG 4609, MISB., • Understanding of 3D terrain formats (DEM/DTED, 3D Tiles) and coordinate systems such as WGS84, UTM., • Familiarity with frameworks/tools such as OpenCV, PyTorch, GDAL, Cesium, Unity., • Practical knowledge of embedded Linux systems (Jetson, Raspberry Pi, NXP)., • Demonstrated ability to work cross-functionally across product, engineering, and field teams., • Ability to travel domestically or internationally (approx. 25%, occasionally up to 50%). Preferred Qualifications: • Master’s degree in Engineering, Computer Vision, Software Engineering, or related field., • Experience with embedded Linux tools/configurations: systemd, Yocto, Docker., • Knowledge of GNSS/INS, video odometry, or visual-inertial fusion systems., • Experience with UAV systems, including configuration, tuning, and troubleshooting with autopilot interfaces., • Familiarity with OGC geospatial standards (WMS, WMTS, WFS) and real-time streaming protocols., • Experience with data transport frameworks such as ZeroMQ, Protobuf., • Hands-on experience building or modifying companion computer architectures (Jetson, Raspberry Pi, STM32MP1)., • Background in AI/ML for computer vision, sensor fusion, or ISR analytics., • Experience performing technical feasibility assessments for mission-critical or edge-deployed systems., • Valid UK or EU security clearance is a bonus. About the Organisation: The company operates at the forefront of geospatial technology, 3D modelling, and mission-focused intelligence solutions, serving telecommunications, emergency response, defence, and intelligence customers globally. Their mission is to help operators and decision-makers understand the world in real time with highly accurate, immersive geospatial and sensor-driven insights. Application Process: To apply, please submit your CV detailing your relevant experience and qualifications for the role. Applications will be reviewed on a rolling basis, so early submissions are encouraged. Equal Opportunity Employer: We value diversity and are committed to creating an inclusive work environment. We encourage applicants from all backgrounds to apply. Contact: ___

Technical Solutions Engineer – Deep-Tech AI (RetailTech / Computer Vision) London (Hybrid – 1 day onsite) £80–90k + Bonus + Equity Urban Digital is partnering with a high-growth deep-tech AI scale-up building on-device, self-training AI now deployed across 1,000+ Tier 1 retail stores globally. Their platform powers real-time computer vision and PoS automation across large, distributed retail environments. This is production-grade AI operating at significant scale. They’re hiring a Technical Solutions Engineer to take full technical ownership of enterprise deployments and ongoing account success (technically). This is not a TAM, not a PM, and not an implementation role. This role is for engineers who enjoy deep troubleshooting, systems thinking, and hands-on ownership across complex, live environments. If you like pulling systems apart, debugging across devices, networks, cloud services, and AI behaviour, and being the technical authority when things get complex, this role will suit you well. What You’ll Be Doing • Own the technical success of enterprise deployments across thousands of PoS and on-device systems, • Troubleshoot end-to-end across:, • AI model behaviour, • Device integrations and performance, • Store networks and connectivity, • Cloud infrastructure and data flows, • Analyse logs, metrics, and telemetry (Grafana, Metabase) to identify root cause, • Work hands-on with Linux, SQL, Docker, and cloud platforms (AWS / GCP / Azure), • Lead pilots, rollouts, and on-device testing across major retail estates, • Manage incidents from first alert through to identifying product-level or architectural issues, • Collaborate closely with Engineering, ML, and Product teams to improve reliability and performance, • Translate complex technical issues into clear, confident guidance for enterprise retail stakeholders, • Act as the dedicated technical point of contact for strategic global accounts Ideal Background You’re a hands-on, client-facing technical engineer with real ownership experience in live production environments. You’re comfortable moving between: • Low-level debugging, • System-level reasoning Technical Requirements Strong troubleshooting experience across: • Linux (OS-level commands and diagnostics), • SQL (querying and debugging data issues), • Docker / containerised services, • Cloud platforms (AWS, GCP, or Azure), • Log analysis, monitoring, and performance metrics, • Diagnosing issues spanning:, • AI models, • APIs and integrations, • Networks, • Device hardware Highly Relevant Backgrounds • Technical Support Engineer (L2 / L3), • Solutions Engineer (deeply technical), • Platform Support Engineer / SRE-lite, • Technical Account Manager with hands-on ownership, • Engineers experienced with distributed systems, IoT, or ML/AI platforms Why Join? • Work across AI, computer vision, , hardware, and cloud technologies, • Significant technical variety, no two problems are the same, • Direct input into product and technical decision-making, • Equity with meaningful upside, • Real-world impact across thousands of retail devices globally, • Customer-facing work without sacrificing technical depth Interested? If you’re a strong technical problem-solver who enjoys complex systems and customer-facing engineering in modern AI environments, we’d love to speak with you.

At Solve Intelligence, we aren’t just "using" AI - we are building the proprietary algorithms that define the future of Intellectual Property. We have real paying users, massive traction, and a mission to build a billion-dollar company. 🏗️ The Role: AI Engineer We are looking for a super-talented engineer to help us build state-of-the-art AI products extremely fast. You will lead the development of algorithms that push the envelope of what is possible with LLMs. What you’ll own: • Production-Ready AI: Develop and deploy proprietary algorithms that significantly increase the quality of generated patents., • SOTA Evaluation Pipelines: Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&D., • Advanced Prompt Engineering: Research and implement cutting-edge prompting methods to maximize model efficacy., • Full-Stack Impact: While focused on AI, you’ll work across the stack (Python, Postgres, React) to ensure our research translates into a seamless user experience. 💡 About Solve Intelligence We are the fastest-growing startup transforming the IP landscape. Our AI platform manages everything from invention harvesting to patent generation. • Growth: 20-30% MoM revenue growth; selling to 300+ global IP teams (DLA Piper, tech giants, and boutiques)., • Impact: Users report 50-90% efficiency improvements., • Backing: Recently featured in______ following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Insight Partners, Y Combinator, and HOF Capital. 👋 Co-Founders & Team You will work directly with a founding team of AI PhDs and elite engineers: • ___ (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired)., • ___ (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute., • ___ (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). 🚀 Who You Are We are a young company of highly motivated "hackers" building at a relentless pace. • Speed is your default: You want to put things in the hands of customers in days, not months., • You are a grinder: You have a strong work ethic and are willing to go the extra mile (long nights/weekends) to achieve excellence., • You are an optimist: You thrive in a high-energy, positive environment and take extreme ownership of your outcomes. 🛠️ What You Bring Must-Haves: • Expert Python Skills: Deep experience building and shipping AI solutions., • Production Experience: A history of shipping algorithms and/or evaluation pipelines into live environments., • LLM Mastery: Practical experience with prompt engineering and modern LLM architectures., • Technical Versatility: Familiarity with the full stack (Postgres, TypeScript, React)., • Clear Communication: Ability to articulate complex technical decisions clearly. Nice-to-Haves: • Publications at top ML conferences (NeurIPS, ICLR, ICML)., • Familiarity with frameworks like OpenAI Evals., • A history of interesting GitHub contributions or "impressively difficult" side projects. 🎁 What We Offer • Competitive Salary + Significant Equity: We want you to have true ownership in our success., • Growth: Opportunity to work with a world-class team on a genuine rocket ship trajectory., • Support: Full visa sponsorship and private medical insurance., • The Goods: Free meals and a high-performance office culture in London. Ready to build the future of AI? Apply now. 🚀

This opportunity sits within a specialist FPGA engineering group supporting latency-sensitive trading systems. The role offers deep involvement across the full FPGA development lifecycle, working closely with software engineers and front-office trading stakeholders to deliver production-grade solutions. The successful candidate will contribute to the design, build, testing, and deployment of FPGA-based applications used across multiple trading strategies, with scope to take long-term ownership of critical systems. Key Responsibilities • Collaborate with software engineers and trading teams to design and deploy FPGA solutions across trading platforms, • Architect and implement FPGA applications end-to-end, including RTL design, synthesis, place & route, and static timing analysis, • Build and maintain shared testing and verification frameworks to ensure system robustness, • Support software integration by developing APIs and optimising hardware–software interfaces, • Identify and propose innovative solutions to hardware, FPGA, and system-level constraints, • Progress toward technical ownership of major FPGA applications or market-specific platforms over time Required Experience & Skills • 5–10 years’ experience as an FPGA engineer within defence, aerospace, telecoms, or research-driven environments, • Minimum 5 years of hands-on, full-time FPGA development experience using industry-standard tools and workflows, • Strong VHDL development skills, with supporting Python experience, • Comfortable working in Linux-based development environments, • Strong engineering discipline with a focus on clean design and maintainable code, • Proven experience working in collaborative, multi-disciplinary teams, • Deep expertise in at least one of the following: networking, computer architecture, or verification, • Working-level proficiency in C/C++, • Strong interest in financial markets and electronic trading systems Contact Ciara Clarke at Harrington Starr for a confidential discussion on this role.

Junior Data Specialist | Renewable Energy | London (Hybrid) | Up to £50k With hundreds of millions of pounds in funding, this company will play a critical role in the transition away from fossil fuels. This role offers the opportunity to work closely with industry leaders while helping to build the data systems required for a 100% renewable electricity grid. Are you a methodical graduate who enjoys the “detective work” behind real-world data? This position goes beyond building pipelines – you’ll work hands-on with the complex, messy data that underpins UK energy markets, trading, and grid analytics. This is a rare opportunity to develop deep expertise in GB balancing market data using a modern data stack (Python, dbt, PostgreSQL, GitHub Actions), with no legacy Excel workflows. The Role As a Junior Data Specialist, you will: • Perform data detective work: Investigate, map, and clean complex energy datasets — for example, cross-referencing Elexon API data with manual research to correctly link power plants and substations., • Wrangle real-world data: Reconcile legacy data formats, manage time-series outliers, and resolve inconsistencies across different energy market message types., • Build and automate: Write Python scripts to ingest data from National Grid ESO and Elexon APIs, using dbt and SQL to implement transformation logic., • Document critical insights: Maintain reference datasets and clearly document mappings, assumptions, and edge cases that support trading and operational decisions. What You’ll Bring • Education: A recent graduate in a quantitative discipline such as Computer Science, Physics, Mathematics, Engineering, or Economics., • Python skills: Strong foundations in Python, with the ability to write clean, readable code using pandas and numpy., • Data fundamentals: Comfortable using SQL to query and transform data, with a sharp eye for identifying when data doesn’t look right. Why Join Us? • Meaningful impact: Work on data that directly influences how the UK power grid is balanced., • Hybrid working: A collaborative environment with regular time in our London office (4 days per week)., • Develop rare expertise: Build highly valuable knowledge of the UK’s complex energy infrastructure., • Modern data stack: A reproducible, scalable environment built with modern tools and best practices.

Location: London Salary Competitive Salary We have a great new opportunity for a Sub Contract Manager to join our team in in the Central London area. You will be responsible for managing subcontractors and ensure alignment with G4S Fire & Fire Security Systems UK Company procedures.. About the Role: You will be required to act as a liaison with Stakeholders to assess subcontractor performance and risks. You will need to be a great communicator, team player and organiser to ensure that a smooth process is maintained Responsibilities: • Responsible for compliance with regard to technical auditing and manage compliance, • Carry out Health & Safety audits with subcontractors, • Carry out work progress audits with subcontractors, • Quality audits with subcontractors, • Support the Project Engineers with flexible site visits, • Support the Commissioning Engineers on site when and if required, • Develop and manage site specific Risk Assessments and Method Statements where necessary, • To attend Site Progress and Specialist Subcontractor meetings when required, • Carry out Site audits on G4S Engineering teams when required, • Comply with the Company Health and Safety requirements, • Liaise with Customers at a local / site level to ensure Customer satisfaction, • To respond to all communications within an appropriate time. Required Experience: • Experience in working on M&E construction sites, • Experience in working on Fire and Security Systems including installation, • Knowledge and understanding of the relevant British Standards for Installation and Commissioning of Fire Detection and Alarm Systems and Refuge Alarm Systems, • Knowledge and understanding of the relevant British Standards for Installation and Commissioning of Intruder, Access and CCTV Systems, • Excellent verbal and written communication skills, • Computer literate including experience in the use of AutoCad, • Management of electrical contractors and company approved Act as a liaison with Stakeholders to assess subcontractor performance and risks. You will need to be a great communicator, team player and organiser to ensure that a smooth process is maintained-contractors, • Confident and professional approach to work Further Requirements: • You will need to possess a full driving UK licence, • This role requires enhanced personal security checks Pay range and compensation package: • Competitive Salary, • Company Car, • Workplace pension scheme, • Eye care vouchers, • Employee Discount Schemes, • Refer a friend scheme

numi are proud to have exclusively partnered with a prominent player working with a global leaders in high quality services. What you'll be doing: We are seeking a brilliant .Net Engineer to help create amazing experiences for their clients and their customers through their best in industry SaaS platform. You will be involved in challenging, complex development for industry leading companies, as well as smaller start up projects Centered on a tech stack that includes C# .NET, React AWS, and event-driven microservices, this position is tailored for engineers ready to thrive in modern cloud-based ecosystems. As an Engineer you will design scalable systems, write maintainable and testable code, and ensure the resilience of solutions to deliver exceptional service. Staying current with emerging technologies, you will champion advancements, inspire innovation, and mentor junior engineers to cultivate a culture of growth and excellence. Ideal candidates hold a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. A .NET, C# and backend or full-stack development is essential, complemented by strong problem-solving skills, an agile mindset, and excellent communication. What You'll Get: • Competitive salary and benefits package., • Hybrid working options and support for professional development., • Join a dynamic, forward-thinking team in central London (1 day a week).

Driven by Intelligence. Powered for the Future. Avant Intelligence is a global innovator in AI-powered robotics and intelligent inspection solutions. At the forefront of industrial digitalization, Avant develops autonomous robotic systems that enhance safety, efficiency, and reliability across energy, transportation, and EV-charging sectors. With cutting-edge expertise in artificial intelligence, computer vision, and edge computing, Avant transforms industrial inspection through intelligent automation — ensuring smarter monitoring and safer operations worldwide. As Avant continues to expand its footprint across Europe, we are seeking a highly motivated and structured Solutions Engineer to join our growing team in London UK. Job Description: Avant Intelligence is looking for a proactive and detail-oriented Solutions Engineer to support our expanding operations in London UK. The successful candidate will play a key role in delivering innovative AI-driven inspection and monitoring solutions to clients across Europe. Key Responsibilities: • Explore and validate AI and automation capabilities for quadruped robots, • Prototype lightweight integrations to support inspection, mapping, and monitoring workflows, • Conduct field testing, troubleshoot performance issues, and optimize real use cases, • Work with product and engineering teams to turn validated prototypes into scalable solutions, • Coordinate end-to-end delivery with internal teams and external partners, • Present demos, share findings, and support pre-sales technical communication with customers, • Ensure compliance with safety, data protection, and industry regulations in global deployments, • Support localization and on-site enablement in international markets What We’re Looking For: • 3+ years of experience in robotics, industrial automation, or AI solution engineering, • Hands-on prototyping skills (e.g., Python, JavaScript, or similar technical stack), • Experience integrating hardware + software and working with real-world operational workflows, • Strong analytical mindset, able to design experiments, evaluate results, and iterate quickly, • Cross-functional collaboration skills with product and delivery teams, • International project experience and ability to drive localization in overseas markets, • Fluent English; additional languages (e.g., German, Chinese) are a plus, • Curiosity for emerging AI technologies and a pragmatic approach to solution delivery Why Join Avant • Pioneering role in shaping the future of AI-powered inspection and robotics, • Flat hierarchy with direct access to decision-makers, • Competitive salary with performance-based incentives, • International and innovation-driven environment, • Dynamic, fast-growing company with global reach Location: London Start date: As soon as possible Working hours: Full-time 📩 Apply now and be part of Avant’s mission to deliver smarter, safer, and more autonomous industrial operations! Contact: Apply directly on LinkedIn

Full Stack Software Engineer (Python / React) Location: London (Hybrid) Experience: 2+ Years Compensation: Up to £140,000 Base + Bonus + Comprehensive Package A leading multi-asset trading firm in London is seeking a talented Full Stack Software Engineer to join its growing technology team. This is an opportunity to work in a fast-paced, high-performance trading environment where technology is central to the firm’s success across multiple asset classes. The Role You will work closely with traders, quantitative researchers, and other engineers to design, build, and maintain high-quality software systems that support trading strategies and business operations across a diverse set of asset classes. Key Responsibilities • Design, develop, and maintain scalable, high-performance applications, • Build robust backend systems using Python and/or modern frontend interfaces using React, • Collaborate with cross-functional teams including traders and quants Requirements • 2+ years of professional software engineering experience, • Strong experience in Python and/or React, • Bachelors Degree in Computer Science (or similar) is preferred If the above is of interest, please apply or email me directly at

Quant Developer - Equities Location: London or Dubai Permanent Our client are a market leading hedge fund, with a global reach in relation to their clients and offices. They are on the lookout for a talented Quant Developer with exceptional skills in python programming, and solid experience on equities focused projects Responsibilities for an Equity Derivatives Quant: • Core Trading Engine Development: Build, maintain, and enhance the core trading engine to support optimal performance., • Systematic Trade Automations: Create and implement automated trading systems to improve efficiency and drive results., • Collaborative Innovation: Partner with traders, researchers, and developers to understand needs and deliver tailored solutions. Requirements for an Equity Derivatives Quant: • Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field, • Extensive knowledge surrounding equities asset class, • At least 2 years experience within the financial services industry, • Hands on experience with object orientated programming, using Python, • Strong communication skills and confidence in working within a collaborative team environment. To hear more details please apply to this position or contact Ben Mortimore at Anson McCade. Job Reference: AMC/BMO/QD01

Trading Desk Operations Engineer - Summer 2026 start Our client is a top tier global proprietary trading firm that blends advanced technology, quantitative rigour and deep market expertise. It is a place where sharp thinkers thrive. You will work alongside highly capable, intellectually driven people who enjoy hard problems, value precision and are keen to share what they know. This environment suits graduates who have excelled academically and want to apply their intelligence in a fast, practical and technical setting. As a Trading Desk Operations Engineer you sit directly within the trading and research group. You support live trading, improve operational workflows and help turn ideas into reliable tools and systems. You will work closely with traders, researchers and engineers, gaining direct exposure to how strategies are built, tested and executed. Day to day you may validate trade flows, automate processes, troubleshoot issues under pressure, analyse unexpected system behaviour and build quick tools that improve speed and accuracy. You will need to think clearly, act decisively and enjoy solving complex technical problems in real time. This position is well suited to graduates with a strong foundation in mathematics, engineering or computer science and a genuine appetite for analytical work. You must have: • STEM degree from a top ranked university with exceptional academic results, • A level Maths at grade A or equivalent, • Excellent logical reasoning and problem solving ability, • Strong attention to detail and consistency, • Interest in programming with basic proficiency in at least one language (Python, C++, Go, Scala, Ruby, Lua, VBA or similar), • Curiosity about trading, technology and how complex systems behave under pressure This opportunity is ideal for someone who wants a front-row view of how modern trading actually works. You will learn quickly, work with outstanding people and develop a rare combination of technical, analytical and operational skills that will set you up for a high-impact career.

Job Description London | Full-Time | Junior Engineer (Client-Facing Analytics) Permutable Technologies is a fast-growing AI company helping the world’s leading financial institutions make smarter decisions through real-time market intelligence and LLM-driven news analytics. Our technology is used by hedge funds, banks, and commodity trading desks to integrate signals directly into live trading and research workflows. We’re hiring a Junior Data Scientist / Quant to sit at the intersection of data science, product, and client integration. This role is ideal for someone early in their career who wants to work for a financial institution disruptor. What You’ll Be Doing • Support client integrations of Permutable’s data, APIs, and signals into their research or trading systems, • Assist with signal onboarding, including explaining methodologies, assumptions, and intended use-cases, • Help run and interpret back-tests and validation analysis for client-specific workflows, • Work with client data to test use-case applications (e.g. strategy overlays, filters, dashboards), • Support customers during onboarding and early usage, helping answer analytical and data-related questions What You Bring • Degree (or equivalent experience) in Mathematics, Physics, Engineering, Computer Science, Economics, or similar, • Strong grounding in statistics, probability, and time-series analysis, • Comfortable working in Python and analysing data programmatically, • Clear communicator — able to explain analysis simply and honestly, • Curious about how data products are actually used by clients, • Interest in financial markets, trading, or applied ML Nice to Have • Experience with APIs, JSON, or data pipelines, • Familiarity with back testing, signals, or quantitative strategies, • Basic SQL knowledge, • Exposure to financial or commodities markets Tech & Tools You’ll Work With • Python, AWS, CI/CD, • REST APIs & real-time data pipelines, • LLM-driven analytics & event-based data, • Client-facing dashboards & research workflows Why Join Permutable? • Learn how AI and quant signals are deployed inside real institutions, • Direct exposure to hedge funds, banks, and trading desks, • Small team, fast learning curve, real responsibility, • Clear progression into Data Scientist, Quant, or Product Analytics roles, • You’ll help ensure clients don’t just buy the product — they actually succeed with it Industry: Business Intelligence Platforms Employment Type: Full-time

C++ • Python • OpenGL • Blender • Desktop Applications • Games Pipelines London preferred | Full-time | Visa sponsorship available Our Vision From blockbuster films and AAA games to immersive experiences, the demand for photoreal 3D content has never been higher - but creating photorealistic assets is slow, expensive, and manual with no current scalable solution available. At M-XR, our mission is to democratize the creation of high-quality 3D assets and empower brands, studios, and creators to build infinite photo-real 3D experiences. Our proprietary technology Marso allows anyone to capture real-world objects into production-ready photorealistic digital twins with unmatched material (PBR) accuracy - enabling the first real-world PBR capture pipeline that can operate anywhere. Marso is trusted by the most demanding studios in film and gaming. We see the future of 3D as AI-assisted, and we’re building the tech to make that happen. We are creating the world’s highest quality and most comprehensive 3D-PBR data-set and training the next generation of AI models to assist artist workflows. See the result yourself Passcode: scaneverything About the role ✨ We are looking for a Senior Software Engineer to own the 3D asset processing and rendering infrastructure in Marso Measure, our desktop material capture application for Windows. You'll work across the full product from 3D asset support, geometry processing, OpenGL rendering, Blender integration, backend connectivity, to Windows releases. At M-XR we developed Marso Measure as a way to capture real-world PBR material data alongside conventional photogrammetry from simple flash photography. Marso is now actively being used by leading studios, brands & museums to digitize previously unobtainable assets at scale. This gives us one of the most unique and physically accurate 3D datasets in the world and with this data we are developing frontier AI models that will enable new ways to create physically realistic content - at high fidelity and scale. You will be a central part of the core engineering team at a scaling start-up that is re-imagining how content is created for photo-real AAA games and real-time experiences. This role is perfect for a C++ and Python expert that is passionate about 3D graphics, real-time rendering, and VFX/game workflows and wants to work at a startup connecting frontier AI to 3D asset creation. Where you will have impact 🚀 As a Senior Software Engineer you will own the 3D rendering and asset processing systems that power our material estimation technology and ship Marso Measure as the industry standard for material capture in high-end photogrammetry workflows. You will: • Build and scale Marso Measure as a central member of the core engineering team, driving it from internal tool to production-ready desktop application., • Architect and maintain the geometry and rendering modules that underpin our material estimation technology across product and research teams., • Deliver high-performance systems from raw image processing through to OpenGL-based rendering, optimized for high-resolution assets and production workflows. What you will do You'll work as part of the core team establishing Marso Measure as the industry standard for material capture in photogrammetry. Core Ownership • Own the end-to-end 3D geometry and rendering modules and pipelines across product, • Develop and maintain high-performance C++ modules for 3D asset processing, OpenGL rendering, and mesh-camera visibility calculations, • Build Python services for pipeline orchestration, automation, and integration with ML models Cross-Functional Collaboration • Work closely with ML researchers to integrate material estimation models into production pipelines, • Collaborate with the Data Platform team to ensure processing outputs meet quality requirements for training data, • Collaborate across Data and ML and Product teams to deliver and integrate 3D format support, 3D transformations, and render systems. Production & Release • Own the Windows release cycle for core modules, ensuring stability, performance, and quality, • Establish best practices for graphics programming, testing, and performance optimization, • Manage build systems and packaging for desktop distribution What we are looking for Must have • 5+ years of professional C++ development with focus on graphics, rendering, or high-performance computing, • Strong Python skills with experience building production services and tooling, • 3D graphics expertise: OpenGL, shader programming, geometry processing, UV mapping, • Cross-platform build systems: CMake, package management, • Product delivery experience: shipping desktop applications or production tools to end users, • Systems thinking: understanding of performance optimization, memory management, and architectural trade-offs Strong Plus • Experience with Blender Python API or other DCC tool integration, • Knowledge of PBR rendering, material systems, and game engine workflows (Unity/Unreal), • Photogrammetry or computer vision pipeline experience, • Windows desktop development: Electron, IPC, installer creation, • Familiarity with 3D file formats (Alembic, USD, glTF, FBX), • Background in VFX, games, or virtual production workflows, • Experience with ML pipeline integration (PyTorch, model inference optimization) What we offer • The chance to shape the future of 3D content creation in a fast-moving startup, • Direct contact & close relationships with some of the biggest game & film studios globally using M-XR's technology, • Work with passionate engineers, artists, and researchers at the frontier of graphics & AI, • Unique opportunities for professional growth, autonomy, and leadership, • Competitive salary and equity, • Flexible hybrid working, • Visa sponsorship for international candidates We look forward to your application! Best, M-XR Team

Data Scientist: Up to 85k Xcede has recently partnered with a UK-based workforce technology company that builds intelligent staffing platforms for service-led organisations. As they continue to scale their 50-person team, this role will have a tangible impact on how organisations plan, allocate, and utilise their workforce more effectively. You’ll apply your analytical and modelling expertise to large volumes of operational data, helping to improve how labour is forecast, scheduled, and optimised. The role involves developing data-driven systems that anticipate demand, improve service delivery, and surface actionable insight across a portfolio of well-known consumer-facing brands. You’ll also contribute to building scalable analytics tools and work closely with teams across the business — including engineering, operations, and commercial stakeholders — to translate real operational challenges into practical, deployable solutions. Requirements: • At least three years of experience building and deploying machine learning solutions into real-world environments, • A strong analytical foundation demonstrated through academic study or professional experience, • Confident using Python and standard machine learning libraries and frameworks, • A solid understanding of core ML techniques and appropriate use cases, • Experience delivering ML-driven features such as demand forecasting, optimisation models, or computer vision systems, • Exposure to working within cloud platforms such as AWS, • Strong grounding in mathematics and statistics for analysing and interpreting complex datasets, • An interest in developing broader backend or server-side engineering skills to support the deployment of ML components into production systems If you are interested in this role or other Data Scientist opportunities, please contact Gilad Sabari — | 02074226861

Front Office FX Trading Technology - Global Banking & Markets A leading global investment bank is seeking a Python Developer to join its Front Office FX Options Technology team. This is a high-impact role where you’ll work closely with traders and developers to build cutting-edge, high-performance trading systems - leveraging big data and algorithmic models to analyse and predict market behaviour in real time. They’re looking for switched-on engineers who can tackle complex problems and deliver business-critical, high-visibility projects in a fast-paced, front-office environment. Key Responsibilities • Design, develop, and support pricing, eTrading, and market-making systems., • Collaborate with traders, sales, and quants to deliver performant, data-driven solutions., • Enhance trading algorithms, data pipelines, and market connectivity., • Integrate trading systems with upstream trade execution and regulatory platforms., • Work within an agile team delivering high-priority solutions under tight deadlines. Skills & Experience • Strong Python (or OO language: Java, C#, C++) development experience., • Solid understanding of data structures, algorithms, and design patterns., • Experience with SQL/NoSQL, APIs, and distributed systems., • Familiarity with agile methodologies and CI/CD tools., • Excellent communication skills and an interest in financial markets or FX trading., • Degree in Computer Science, Engineering, Mathematics, or Physics preferred. Why Join • Work directly with Front Office trading teams on next-gen algorithmic trading systems., • Gain exposure to real-time analytics, predictive modelling, and high-performance systems., • Collaborative, high-energy environment with strong growth opportunities.

The Role We are seeking a talented individual to join our Data Science and Development team. The team is responsible for supporting our investment process through the development of analytical tools and research into strategy ideas. The ideal candidate is pragmatic and passionate about the application of data science methodologies to finance and thrives in a small collaborative environment. Responsibilities: · Support the research, development, and maintenance of quantitative and discretionary trading strategies. · Collect, clean, validate, and maintain financial, market, and alternative datasets · Build and maintain data pipelines for ingesting, transforming, and storing structured and unstructured data. · Assist in exploratory data analysis to identify patterns, signals, and anomalies in market data. · Implement research ideas into production-quality code the under guidance of senior team members. · Develop and maintain back testing and performance analysis tools. · Monitor data quality, model outputs, and trading systems; investigate and resolve issues as they arise. · Create tools and dashboards to support portfolio managers, traders, and researchers. · Optimize existing code for reliability, performance, and scalability. · Document code, data processes, and research methodologies to ensure transparency and reproducibility. · Contribute to risk analysis, reporting, and post-trade analytics. · Assist with integrating third-party data vendors, APIs, and execution systems. · Stay current with relevant developments in data science, quantitative finance, and financial markets The ideal candidate: · 2+ years exp in data science, quantitative research, or related discipline · Advanced knowledge of Python, SQL, or other programming languages · Proven experience in conducting quantitative analysis · Knowledge of financial asset classes such as equity, futures, and fixed Income · Attention to detail and strong communication skills · Master’s or PhD degree in a quantitative field such as data science, statistics, computer science or financial engineering · Experience in designing, building and testing systematic signals would be a bonus.

Contract Length: 6 months Client: Tech/Media Job Description This role sits within an advanced technology organization focused on building next-generation computing platforms and immersive, wire-free VR experiences. The team brings together global specialists working across hardware, software, and content to deliver products that shape how people connect, work, and play. As an OS Frameworks Engineer, you will play a key role in developing system-level software that supports innovative hardware and software solutions. Your work will help redefine user experiences and contribute to emerging platform standards in VR and AR. You will collaborate closely with cross-functional partners to push technology forward, even in areas where solutions are still being defined. Key Responsibilities • Monitor industry and company-wide computing technology trends to evaluate and develop new capabilities aligned with the product roadmap., • Support product teams in delivering high-quality experiences for both current and future platforms., • Work on operating system internals and help define technical direction for major system improvements., • Design and build tools, system architecture, frameworks, and infrastructure across areas such as operating systems, kernel development, low-level debugging, system and performance profiling, AOSP, and related technologies impacting VR and AR products., • Partner with product managers, application engineers, and external collaborators to gather requirements, define interfaces for new frameworks, and improve existing system components., • Develop system-level framework APIs that enable higher layers of the software stack to deliver performant and compelling use cases., • Promote strong engineering practices through code reviews, design feedback, and the adoption of best practices, emphasizing clean code, debuggability, and testability., • Clearly communicate complex technical concepts and advocate for improved product quality and engineering efficiency Minimum Qualifications • Bachelor’s degree or equivalent practical experience in Computer Science, Computer Engineering, or a related field., • 6+ years of professional software development experience., • Strong experience with Android (preferred), Linux, or macOS internals or framework services, or embedded systems development in resource-constrained environments., • 3+ years of experience developing in one or more of the following areas: Operating Systems, AOSP, NDK, device management on iOS/Android, device security, or Android Enterprise., • Proficiency in C++ and Java., • Proven experience collaborating across functions to drive technical solutions. Preferred Qualifications • Deep experience with Android internals, AOSP, Android SDK/NDK, JNI, IPC mechanisms, or Linux OS development., • Familiarity with Android performance analysis tools and security models., • Experience building software for mobile platforms (Android and/or iOS)., • Knowledge of Android UI frameworks and system services., • Strong experience with unit testing frameworks such as JUnit.

We are searching for Senior Rust specialists to join one of our well established and highly regarded Digital Assets focused trading firms, either in London or for relocation to Hong Kong with a comprehensive package. You'll be working on their peripheral applications, building improvements and features for their 24/7 trading systems with Rust and .Net / C#. Responsibilities • Build, improve and maintain peripheral applications and user interfaces with the latest iterations of Rust and .Net., • Work in a highly collaborative, multidisciplinary environment., • Provide production support., • Mentor and guide junior engineers. Requirements • 6-8 years of related experience, familiar in Linux environment;, • University degree in Computer Science, Software Engineering, or related disciplines, • You write clean and efficient code in Rust, • You demonstrate strong interest in financial markets and blockchain technologies, • You own your deliverables, reliability, scalability, and maintainability, • You love to analyse and tackle complex problems with elegant solutions, • You have exposure in multithreading, web protocol (e.g. websocket, RESTful), or high throughput/low latency design is a plus, • You have experience in mentoring and guiding team members

COMPANY DESCRIPTION HSSMI Consulting Ltd is a sustainable manufacturing innovation consultancy, focusing on helping manufacturers scale operations, improve productivity, and adopt circular economy practices. Since 2012, HSSMI has collaborated with government bodies, established manufacturers, and start-ups to deliver innovative and sustainable solutions. The company's expertise spans strategic manufacturing consultancy, digital manufacturing tools, lean manufacturing, battery technologies, hydrogen propulsion, and the circular economy. Through research and practical engineering services, HSSMI is dedicated to advancing the UK manufacturing industry while fostering environmental responsibility and competitiveness. LOCATION Birmingham / London JOB PURPOSE HSSMI Consulting is recruiting two Graduate Digital Engineers to support the growth of its Digital Manufacturing and Innovation Engineering capability. This is a full-time, entry-level professional role designed for recent graduates who are passionate about applying digital technologies to real-world manufacturing and industrial challenges. The successful candidates will contribute to the development and deployment of simulation-driven, data-connected manufacturing solutions, working alongside experienced engineers on live industrial and R&D projects. The role offers structured development, mentoring, and hands-on project delivery experience across Digital Twins, NVIDIA Omniverse, Cyber-Physical Systems, IIoT, AR/VR, cloud technologies, and advanced manufacturing systems. PRINCIPAL ACCOUNTABILITIES • Contribute to the development, testing, and maintenance of digital twin models for manufacturing and industrial systems, including models built using NVIDIA Omniverse and related platforms., • Apply Python and/or C++ scripting to support simulation workflows, data integration, automation, and tool development., • Support the integration of digital models with real or simulated industrial data, gaining experience in connected and cyber-physical systems., • Assist in deploying and interacting with cloud-hosted environments, developing an understanding of cloud architecture and data pipelines used in digital engineering solutions., • Contribute to the creation of basic web-based user interfaces and visualisations using HTML, CSS, and JavaScript to support digital tools and dashboards., • Produce clear and professional technical documentation, research summaries, and internal or client-facing presentation material., • Work as part of multi-disciplinary project teams, collaborating with engineers, researchers, and external partners across manufacturing, automation, and digital innovation projects., • Participate in internal design reviews, technical workshops, and project meetings to understand full project lifecycles, delivery constraints, and stakeholder needs. JOB CONTEXT This role is suited to graduates seeking to build a career in digital engineering, simulation, systems integration, or smart manufacturing. Graduates will be exposed to a broad range of Industry 4.0 technologies while contributing to meaningful industrial and innovation-led projects. The role combines hands-on technical delivery with structured professional development, providing a strong foundation for progression into specialist or senior digital engineering roles within HSSMI Consulting. KNOWLEDGE & EXPERIENCE • Bachelor’s degree (BEng/BSc) or master’s degree (MEng/MSc) in Engineering, Computer Science, Manufacturing, Systems Engineering, or a closely related technical discipline. · Systems modelling or simulation · Manufacturing systems or industrial engineering · Data analytics or computational methods • Demonstrable application of digital or simulation technologies through university projects, dissertations, internships, industrial placements, or personal technical projects., • Working knowledge of Python and/or C++, with the ability to apply these languages in an engineering or analytical context., • Strong problem-solving skills and an analytical approach to technical challenges., • Good written and verbal communication skills, with the ability to explain technical concepts clearly., • Proactive attitude, curiosity, and a willingness to learn in a fast-paced consulting and innovation environment. BEHAVIOURAL COMPETENCIES • Ability to manage own tasks and priorities while working under guidance., • Strong team-working ethos with the confidence to contribute ideas and technical input., • Professional approach to documentation, communication, and stakeholder interaction., • Willingness to engage with new technologies and adapt to evolving project needs. DESIRABLE EXPERIENCE • Exposure to digital twins, simulation tools, and/or 2D/3D CAD modelling software., • Familiarity with manufacturing systems, automation, robotics, or industrial data., • Awareness of cloud platforms, IIoT concepts, or data integration architectures., • Experience using version control tools (e.g. Git) or collaborative development environments., • Interest in AR/VR technologies or advanced visualisation techniques. GRADUATE DEVELOPMENT & TECHNICAL PROGRESSION Graduates in this role will progressively develop competence in: • Building, validating, and applying digital twins for manufacturing and industrial systems., • Simulation scripting and tool development using Python and C++., • Understanding and applying cloud-based architectures within digital engineering solutions., • Working with cyber-physical systems and connected manufacturing environments., • Developing web-based interfaces and visualisation tools to support engineering decision-making., • Operating within professional project delivery environments, including technical reporting, collaboration tools, and client engagement., • Structured mentoring and on-the-job learning will support the transition from graduate-level capability to independent technical contribution. WHAT WE OFFER • Starting salary of £30,500, increasing over time and based on performance., • Hybrid working arrangement, with 80% of the working week based from home and 20% based in the office., • Electric Company car scheme (2x vehicles per employee), • Personal and Family healthcare, • Commission scheme, • Share equity options, • Performance related Bonus scheme, • Competitive Maternity / Paternity policy, • Life insurance, • 8% non-contributory pension, • 25 days holiday + Bank Holidays If you think this role aligns with your skills, experience and attitude then please forward your CV and covering letter to . Any applicant who meets the requirements will be invited to an initial interview. This is regardless of any identification with BAME or LGBTQ+, or on the basis of other factors such as veteran status, national origin, or disability.