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

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

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

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

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

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

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

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

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.

Mobile Air Conditioning Engineer (ICR - Chelsea & Sutton) Employer: Equans Location: Institute of Cancer Research (Chelsea & Sutton, Central London) Make a real impact keeping critical research facilities running. We're looking for a dependable Mobile Air Conditioning Engineer to deliver planned and reactive HVAC maintenance across the ICR estate. What you'll do • Carry out PPM and breakdowns across HV... ZIPC1_UKTJ

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced Full-stack Engineer 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 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 Full-stack Engineers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • Experience in front-end development, with expertise in frameworks such as React., • Experience in Python development (e.g., using FastAPI) for backend services., • Comfortable working with modern, cloud-native technologies and continuous deployment practices., • Strong skills in JavaScript/TypeScript and similar., • Understanding best practices for scalable, maintainable code and automated testing., • Curious, collaborative, and passionate about applying technology to improve health outcomes., • Familiarity with agile methodologies and ability to thrive in collaborative, iterative environments., • Experience in AI/ML or life sciences is a plus, but not required - what matters most is a commitment to continuous learning and a desire to make an impact. What You Might Be Doing As an Full-stack Engineer at GSK, you could get involved with: • Developing front-end applications and interactive data visualizations., • Integrating AI/ML components with backend systems and data pipelines., • Building and maintaining cloud-based infrastructure for large-scale applications., • Collaborating with designers and scientists to create intuitive user experiences., • Driving best practices in software development, testing, and deployment. Why Join Our Talent Pool? • Be the first to hear about new full-stack 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. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. 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. 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.

Founding Machine Learning Engineer £140,000 - £160,000 + Equity 3 days minimum in Central London Opus are hiring on behalf of a fast-growing, Y Combinator-backed start-up that’s redefining how financial data is processed and understood. Operating at the intersection of AI and enterprise infrastructure, this company is building intelligent systems that extract meaning from complex, unstructured documents at scale. Their platform is already trusted by leading firms in the alternative investment space, and they’re now expanding their machine learning team to accelerate innovation. This is not a research role. It’s a high-impact product engineering role in forward-deployed style where your work ships into production and is used by customers daily. Key Requirements Candidates should bring a minimum of five years’ experience in machine learning engineering, with demonstrable expertise in: • Natural Language Processing (NLP), information extraction, and working with large language models (LLMs), • Python programming and major ML frameworks such as PyTorch or TensorFlow, • MLOps practices including containerisation (Docker), orchestration (Kubernetes), and CI/CD pipelines tailored for ML workflows, • Utilising AI-enhanced development environments and tools to streamline experimentation and deployment, • Cross-functional collaboration with engineering, product, and business stakeholders, • Agile methodologies and fast-paced product development environments Preferred Qualifications The following will be considered advantageous: • Advanced academic credentials (Master’s or PhD) in computer science or a related field, • Experience in training and deploying LLMs at scale, • Familiarity with cloud infrastructure and distributed computing environments, • Exposure to modern ML tooling such as Modal, Weights & Biases, or Amazon SageMaker, • Knowledge of fine-tuning techniques including LoRA, QLoRA, or other parameter-efficient frameworks Role Overview The successful candidate will be responsible for designing and implementing machine learning solutions that interpret and structure unorganised financial data. This includes: • Developing models for classification, entity recognition, summarisation, and retrieval, • Customising and refining LLMs for specific business applications, ensuring optimal performance and scalability, • Collaborating with data engineering teams to prepare and transform large datasets for model training, • Building robust ML services with monitoring, retraining, and performance tracking capabilities, • Enhancing the organisation’s MLOps infrastructure, including model lifecycle management and evaluation systems, • Partnering with product and engineering teams to embed ML capabilities into core platforms, • Staying abreast of emerging research in LLMs and agentic AI, and applying relevant innovations to production systems, • Supporting team development through code reviews and mentoring junior engineers

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced Back-end Engineer 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 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 Back-end Engineers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering) or equivalent professional experience., • Strong Python skills, with experience in back-end development and unit testing., • Familiarity with generative AI concepts, particularly Large Language Models., • Experience with cloud platforms (Google Cloud preferred), including core web application infrastructure., • Knowledge of agile practices and ability to thrive in collaborative, iterative environments., • Proficiency with modern development tools and workflows (e.g., git/GitHub, DevOps practices), with a mindset of commit early and deploy often., • Understanding of web development best practices, modern design principles, and continuous integration workflows., • Experience with automated testing tools and building robust test suites. What You Might Be Doing As an Back-end Engineer at GSK, you could get involved with: • Backend development for Python-based web applications., • Integration of AI/ML components with backend systems, data pipelines, and compute infrastructure., • Delivering high-quality implementations following best practices, including automated testing and documentation., • Participating in code reviews and collaborating with technical teams across disciplines., • Supporting evaluations and insights on generative AI datasets. Why Join Our Talent Pool? • Be the first to hear about new back-end 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. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. 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. 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.

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced Cloud Engineer 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 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 Cloud Engineers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • Strong programming skills (ideally in Python) with experience in building scalable applications., • Hands-on experience with cloud platforms (GCP preferred), including deployment and management of web applications., • Familiarity with Infrastructure-as-Code tools (eg. Terraform), including best practices for modular development., • Experience with automated testing frameworks (e.g. pytest) and writing robust test suites., • Proficient in DevOps tools and workflows (eg. CI/CD pipelines, Git/GitHub)., • Comfortable working in agile software development environments, with a focus on iterative delivery and collaboration., • Background in computational, numerate, or life sciences is beneficial but not essential. What You Might Be Doing As a Cloud Engineer at GSK, you could get involved with: • Developing and maintaining software and infrastructure for web applications., • Integrating AI/ML components with frontend, backend, data, and compute infrastructure., • Ensuring high-quality software delivery through automated testing, documentation, and adherence to best practices., • Monitoring and improving key performance metrics for tools and services., • Participating in code reviews, and contributing to continuous improvement of team standards and practices., • Collaborating with data engineers and technical staff across teams to build end-to-end data pipelines., • Supporting deployment workflows and contributing to the evolution of cloud architecture and infrastructure. Why Join Our Talent Pool? • Be the first to hear about new Cloud Engineer 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 cloud engineering 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.

About Us We are a VC-backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision-making models to build the most engaging customer experiences for in-store retail. Our mission is to change retail forever through hyper-personalised experiences that are both simple and beautiful. About the Job – Machine Learning Engineer We are looking for a Machine Learning Engineer with strong software engineering fundamentals to join our team of domain experts and researchers. You will be responsible for building robust, scalable ML systems that bring our foundation models for retail from prototype to production. Key Responsibilities • Design and build production-grade ML infrastructure, including training pipelines, model serving, and monitoring systems., • Collaborate with research engineers to translate experimental models into reliable, maintainable software., • Optimise ML systems for performance, scalability, and cost-efficiency in cloud environments (distributed clusters, GPUs)., • Month 1: Onboard to existing ML codebase and infrastructure; identify technical debt and reliability gaps; ship incremental improvements to model serving latency or pipeline robustness., • Month 3: Own and deliver a major infrastructure component (e.g., feature store, training orchestration, or model registry); improve system observability with logging, metrics, and alerting., • 3–5+ years building and maintaining ML systems in production environments, • BSc or MSc in Computer Science, Software Engineering, or a related field, • Strong software engineering skills: clean code, testing, debugging, version control, and system design, • Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX), • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes), • Experience with MLOps tooling (MLflow, Kubeflow, Weights & Biases, or similar), • Building data pipelines (real-time or batch) using tools like Apache Spark, Kafka, Airflow, or dbt, • Familiarity with recommender systems, transformers, or graph neural networks, • Opportunity to build technology that will transform millions of shopping experiences., • Real ownership and impact in shaping product and company direction., • A dynamic, collaborative work environment with cutting-edge ML challenges., • Competitive compensation and equity in a rapidly growing company.

Senior Web Scraping Engineer 📍 Remote | 🌍 International Team | 🕒 Full-time At WebAutomation, we help businesses unlock the power of public web data at scale. Our products and custom scraping solutions empower organizations to access accurate, structured, and reliable datasets. We are an international, remote-first team passionate about cutting-edge web scraping technologies and large-scale data automation. Role Overview We are looking for a Senior Web Scraping Engineer with strong expertise in Python and Node.js to lead complex data extraction projects. You will design scalable scrapers, overcome advanced anti-bot systems, and build robust pipelines that power our products. This role is ideal for someone who thrives on solving tough technical challenges, can effectively manage multiple projects in parallel, and quickly adapts to changing priorities in a fast-paced environment. Key Responsibilities • Build and maintain advanced scrapers using Python, Node.js, Scrapy, Puppeteer, Playwright, Selenium, • Optimize pipelines for scalability, efficiency, and minimal resource usage, • Debug, maintain, and enhance existing scraping systems under changing site structures, • Handle multiple scraping projects simultaneously while meeting deadlines and quality standards, • Adapt quickly to daily priority changes and shifting project requirements, • Collaborate with product and data teams to ensure accuracy and reliability, • Mentor junior engineers and contribute to best practices in large-scale scraping, • Proficiency in reverse engineering web applications using browser DevTools, network analysis, and debugging proxies (Charles, Burp Suite, mitmproxy), • Expertise in analyzing and extracting data from GraphQL endpoints, including introspection queries and schema discovery, • Experience with WebSocket reverse engineering for real-time data extraction, • Proficiency in analyzing API authentication flows (OAuth, JWT tokens, API key rotation, session management), • Knowledge of browser automation detection evasion (navigator properties, WebDriver detection, Chrome DevTools Protocol), • Experience bypassing CloudFlare, PerimeterX, DataDome and other anti-bot solutions, • Skills in analyzing and replicating complex request signatures and encryption mechanisms Must-Have Experience • 5+ years in web scraping, backend engineering, or data automation, • Expert in Python (asyncio, threading) and Node.js (async/await), • Hands-on with Scrapy, Puppeteer, Playwright, Selenium, • Strong debugging and problem-solving skills for complex scrapers, • Strong multi-tasking skills with the ability to prioritize work in a dynamic environment, • Database experience (SQL/NoSQL, Redis) and caching systems, • Fluent English (written & spoken) Nice to Have • Experience with Flask, Django, FastAPI, • Docker, Kubernetes, and CI/CD pipelines, • R&D or security research background, • Open-source contributions in scraping/data engineering What We Offer • Competitive salary based on expertise, • 100% remote & flexible work environment, • Opportunity to work on cutting-edge web & app scraping projects, • A collaborative international team that values innovation and autonomy, • Professional growth through challenging projects & mentorship 🚀 Ready to push the boundaries of web data extraction? Apply now and join us at WebAutomation to shape the future of large-scale web scraping.

Briffa is a boutique intellectual property law firm based in central London and is seeking an experienced and proactive Operations & Technology Engineer to join its team. This represents a totally new role within the firm which is being created in response to the rapidly changing legal market. As a result, it could easily fall within a different title, such as COO of Tech/AI, Automation Engineer or Technical Product Manager. Irrespective of the title, this role will report directly to the firm’s management team and be tasked with driving forward multiple technology related reforms, with a particular focus on automation and AI. BACKGROUND Briffa is a forward-thinking law firm which was founded over 30 years ago. It has been an early adopter of multiple legal tech solutions in recent years and it consistently punches above its weight when it comes to service delivery. However, change in the legal industry is happening at pace and Briffa is keen to add a team member with real insight and expertise in the field of tech implementation. There is huge potential for growth in this sector however it’s unlikely to be driven by lawyers alone. Our aim is to hire someone who can help us grow through a combination of efficiency gains and operational innovation, helping us work smarter, not harder. GENERAL DUTIES • Ongoing assessment of Briffa’s processes and practices (covering legal work, accounts and administration) with a view to identifying areas ripe for operational improvements involving automation, AI, tech, etc wherever beneficial., • In respect of any operational improvements which have been identified, following the below implementation plan:, • Research/plan proposed improvements, including SWOT analysis + cost., • Propose/present the project to management, setting out implementation stages, how issues/problems will be overcome e.g. transition from system A to system B, training etc., • Implement incl, liaising internally with different teams, externally with any providers e.g. new tech providers, trainers etc., • Measure/report, monitor project post implementation, assess/report on ROI in terms of cost + efficiency, assess ongoing basis with a view to further tweaks/improvements as technology improves or business need changes etc., • Assessment of new legal tech solutions in the market, including attending relevant industry events and seminars., • Oversight of all software solutions operated by the firm., • Being an advocate for tech adoption and automation, helping all members of the firm, irrespective of their role or department, to get the most out of the software available to them. EXPERIENCE, skills and Qualifications Essential experience • Strong practical knowledge of, and competence using, generative AI, AI agents and LLM integration within software applications., • Excellent knowledge of, and competence using, MS Office., • Evidence of being able to deliver tech solutions at pace, bringing a positive approach and finding creative solutions to remove blocks in workflows., • Evidence of developing tech initiatives in a user-friendly way, homing in on the right problems to solve and understanding the human experience., • Evidence of being able to distil complex ideas into simple and impactful solutions. Essential skills • Strong ability to grasp new and developing tech solutions., • Natural interest in business tools, service delivery and tech enablement., • Supportive and reliable team member., • Excellent interpersonal skills., • Genuine strategic thinking., • Excellent written and verbal communication and analytical skills., • Strong ability to lead projects and see them through to completion. Highly desirable skills and experience • Hands-on execution with no-code/low-code tools., • Knowledge of law firms and experience in the professional services industry., • Knowledge of, and competence using, legal tech solutions such as Clio, NetDocuments, Lexis+ AI, Harvey and Legora. If you think you fit the bill, please apply by sending a covering letter and copy of your CV to . We do not use agencies and so please apply direct to be considered. We are an equal opportunity employer committed to diversity and inclusion and welcome applications from candidates from a range of different backgrounds.

Who We Are At CloudHQ, our mission is to deliver flexible, efficient, and resilient data center solutions to businesses worldwide. Founded by a pioneer in data center REITs, we are a rapidly growing organization with state-of-the-art data center sites globally, with locations in Ashburn, London, Frankfurt, Paris, Milan, Osaka, São Paulo, and more. As we embark on an exciting phase of global growth, we are building a diverse and talented team to drive our success and help shape the future of mission-critical infrastructure at CloudHQ. Role Overview The Associate Electrical Engineer, Development will lead the design, planning, and execution of highly efficient and scalable electrical systems for developer-led data center projects. This critical role focuses on providing technical leadership and oversight across the entire development lifecycle, including concept design, detailed engineering, installation, and commissioning phases. The successful candidate will act as the trusted expert for high-voltage electrical systems, power distribution configurations, redundancy solutions, and operational optimization within hyperscale environments. This role requires advanced technical proficiency, project leadership experience, and the ability to collaborate across multidisciplinary teams to deliver resilient, energy-efficient data center infrastructure for global cloud service providers. Key Responsibilities • Technical Leadership in Electrical Systems Design, • Serve as the technical authority guiding the development and implementation of electrical systems, including:, • High-voltage power systems, • UPS systems (Uninterruptible Power Supply), • Switchgear configurations and redundancy solutions, • Transformers, busbars, and power distribution panels, • Emergency backup generators, • Lead the development of electrical specifications, ensuring all systems meet CloudHQ’s standards for reliability, scalability, and energy efficiency., • Conduct and review advanced calculations on load distribution, fault currents, and energy usage to optimize designs for hyperscale environments., • Manage electrical infrastructure across early-stage design, and procurement phases of data center projects., • Provide guidance to Pre-Development and Development teams to integrate electrical systems into early-stage master planning, feasibility studies, and land acquisition specifications., • Review and evaluate contractor and vendor proposals to ensure compliance with project-specific electrical design requirements., • Collaborate with internal and external engineering teams to ensure seamless integration of electrical systems with mechanical, ICT, and tenant-specific systems., • Lead design team meetings, presenting actionable insights and guiding technical decisions around electrical scopes., • Ensure designs adhere to European building codes, ISO safety directives, and ASHRAE energy efficiency standards., • Monitor and implement standards for energy optimization and carbon reduction in electrical systems, achieving low PUE targets across data center projects., • Oversee factory witness testing for critical electrical equipment, ensuring functionality and compliance before delivery to the site., • Supervise electrical system commissioning, including system validation under peak load conditions to verify operational stability and reliability., • Research emerging technologies such as AI-driven power optimization systems, microgrid integration, and smart energy monitoring, incorporating these innovations into new projects., • Identify opportunities for improving electrical redundancy strategies and fault tolerance capabilities to ensure uptime in mission-critical environments., • Implement IoT-based infrastructure to enable real-time performance monitoring and predictive maintenance for electrical systems. Skills & Experience Technical Expertise Advanced knowledge of electrical systems for mission-critical facilities, including high-density power distribution, backup power integration, and fault tolerance strategies. Proficiency in electrical load calculations, short-circuit analysis, and power path optimization for hyperscale environments. Familiarity with electrical equipment such as: • UPS configurations, • High-voltage transformers, • Switchgear systems and breakers, • Emergency generators and fuel systems, • Busway systems for large-scale distribution panels Software Skills • Expertise in electrical design and analysis tools, including:, • AutoCAD, • Revit, • ETAP for power system modeling, • Other BIM platforms for integrated design coordination. Compliance Knowledge Thorough knowledge of European electrical standards, such as IEC, DIN, ISO, and ASHRAE TC9.9 for mission-critical facilities. Strong understanding of environmental regulations related to electrical system design for energy-efficient operations. Project Management Skills Proven ability to manage multiple data center projects simultaneously while maintaining strict timelines and budgets. Skilled in developing technical reports, progress documentation, and compliance certifications for audits and regulatory submissions. Collaboration & Leadership Exceptional communication skills for stakeholder engagement, team mentoring, and technical presentations to diverse audiences. Ability to guide multidisciplinary teams and influence technical decisions during complex project milestones. Flexibility & Travel Willingness to travel across Europe for on-site inspections, commissioning oversight, and stakeholder meetings, with travel requirements up to 50%. Preferred Qualifications Education: Bachelor’s or Master’s Degree in Electrical Engineering, Power Systems, or related technical fields. Certifications: Professional certifications such as PMP, LEED AP, CEng, or equivalents are highly desirable. Experience: Minimum 10+ years’ experience in designing and delivering electrical systems for developer-led data center or mission-critical projects. Languages: Proficiency in English; fluency in German, French, or other European languages preferred for regional collaboration. At CloudHQ, we deliver cutting-edge data centers that power the modern digital economy. As an Associate Electrical Engineer, Development, you’ll lead the creation of resilient electrical systems for hyperscale environments, collaborating with global experts to build highly efficient infrastructure solutions. Join our growing team and help shape the future of mission-critical technology development in Europe. Visit our LinkedIn page or contact for more information.

Graduate Trade Desk Engineer August 2026 Start Quant Capital is recruiting a Graduate Trading Technology Engineer for a leading proprietary trading firm based in London. The firm combines advanced technology, applied mathematics, and rigorous research to trade global financial markets. Technology is a core competitive advantage, with a focus on performance, automation, and reliability. You will be joining a collaborative environment where traders, researchers, and engineers work closely to solve complex problems in real time. This role blends technical development, analytical problem-solving, and live trading support. You will help ensure trading systems operate smoothly while contributing tools, automation, and process improvements that support quantitative strategies. Working with traders, quants, and engineering teams, you will monitor trading systems, investigate issues, assist with strategy rollouts, and streamline workflows through automation. The role provides early exposure to live trading environments and suits a graduate who enjoys numerical problem-solving, fast-paced decision-making, and building practical technical solutions. Key Responsibilities • Provide technical and functional support to traders and researchers, • Develop and maintain internal tools, automation, and trading-related applications, • Assist with testing, validation, and deployment of new releases and strategy changes, • Analyse system metrics and trading data to identify root causes of issues, • Collaborate with engineering teams to enhance system robustness and performance Requirements • STEM degree from a strong academic institution, • Strong numerical, logical, and analytical skills, • Excellent Excel and data-handling ability, • Interest and some experience in programming or technical problem solving, • Familiarity with Linux or technical systems is beneficial, • Ability to perform effectively in high-pressure, time-critical environments, • Strong interest in financial markets and trading technology Additional Information Location: London Start date: August 2026 Office-based role aligned to trading hours with early starts This position offers an exceptional entry point into a front-office trading environment, providing exposure to traders, quantitative research, and advanced trading systems.

About MosaiQ MosaiQ is a fast-growing AI company transforming the way professional-services firms operate. We help consulting teams, private equity funds, investment advisors, and other knowledge-driven organisations turn their expertise and workflows into AI-powered systems — in days, not months. Our uniqueness: • We reverse-engineer real work, map knowledge, and build hybrid AI + human workflows, • We augment experts rather than replace them, • We deploy custom AI into real business processes with measurable impact, • We work directly with decision-makers who value speed, quality, and judgment The Role We are looking for a Business Operations Intern to help transform MosaiQ into a fully AI-augmented organisation. This role is ideal for someone who is curious, proactive, and excited about applying AI to real work — not talking about it. You will observe how the company operates, identify repetitive work, break it into steps, and build AI-powered automations and internal tools that make us faster, smarter, and more efficient. You will work closely with the founder and collaborate with senior engineers who can support your builds. You will own execution and help the company operate as though it has twice the headcount. Responsibilities Process Identification & Mapping • Observe and document recurring manual tasks, • Identify bottlenecks and opportunities to automate, • Translate messy internal workflows into structured steps AI Tools & Automation Build • Use modern AI tools to automate repeated tasks, • Build workflows, internal assistants, and AI agents, • Test and iterate based on performance and feedback Internal Tooling • Create templates, dashboards, and internal utilities, • Support automation for research collection, CRM enrichment, content generation, etc. Company Enablement • Help ensure internal knowledge is captured, • Train the team on tools you build, • Track adoption, usage, and areas for improvement Who You Are You will thrive here if you: • Are curious, resourceful, and hands-on, • Enjoy figuring out how things work behind the scenes, • Use AI tools actively to improve your own workflow or output, • Think in workflows and systems rather than individual tasks, • Want responsibility early rather than watching from the sidelines Bonus points if: • You have used workflow or automation tools (Zapier, Make, Langflow, Replit, Claude Projects, Copilot Studio, Notion automations, etc.), • You have built a bot, script, dashboard, automation, or internal tool — even informally, • You have exposure to product, engineering, or ops environments, • You have tried light scripting or API integrations (not required) Mindset That Matters • Bias toward action — you build and iterate quickly, • Builder mentality — small experiments first, scale once validated, • Ownership — you drive tasks without waiting to be instructed, • Comfort with ambiguity — fast-changing environments energise you, • Direct collaboration with experienced AI engineers and builders, • Real-world experience building AI-powered workflows and agents, • A portfolio of practical tools that you delivered end to end, • Insight into how AI reshapes work inside a company, • The chance to turn the internship into a full-time role if the fit is right

Senior 3D Computer Vision Engineer Location: Hybrid / Flexible (UK) Employment type: Full-time — Senior, hands-on engineering role We’re working with a fast-moving technology company building large-scale 3D vision systems for industrial applications. The team is small and highly technical; this role combines end-to-end engineering, product delivery and mentoring of junior engineers. Due to confidentiality, the client name isn’t being disclosed during early conversations. What the role involves • Design, build and scale production 3D perception systems using spatial data., • Own core components across the 3D pipeline and take projects from prototype through to production., • Establish and maintain robust data and labelling pipelines and QA practices., • Identify and remove performance bottlenecks across inference, data handling and infrastructure., • Translate recent research advances into reliable, maintainable software and mentor more junior engineers. About you (essential) • 5+ years’ experience in 3D computer vision, computational geometry or a closely related field., • Proven track record shipping ML/AI systems into production (end-to-end pipelines)., • Strong software engineering skills — production-grade Python and engineering best practices., • Practical experience with point cloud / spatial data processing or equivalent 3D data modalities., • MSc or PhD in Computer Science, Machine Learning, Robotics or similar. Nice to have (not required) • Experience at an early stage or scale-up environment., • Familiarity with commonly used 3D/vision toolkits and cloud deployment patterns., • Exposure to industry workflows that use 3D representations (any sector). If you're interested and have the required skillset, then apply now! Otherwise, if you are interested in any other AI/ML & Computer Vision roles, then reach out to Oscar Harper at IC Resources.

Fire – Principal or Associate Engineer Glasgow, Bristol, Manchester or London Competitive salary + benefits We have an exciting opening for a Principal or Associate Fire Engineer to join our firm in our Glasgow, Bristol, Manchester or London offices. About us Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, electric vehicle salary sacrifice scheme, stock options, and up to 30 days of annual leave. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. Hoare Lea’s Fire Engineering group is a leading team of experienced fire safety experts, many of whom are Chartered Engineers through the Institution of Fire Engineers. Being part of one of the UKs largest building engineering consultancies, we benefit from collaborating with some of the best engineers in the business, with access to state-of-the-art technical support, and have the opportunity to work on some of the UKs largest and most high profile projects as part of a multi-disciplinary team. However, the fire team also works independently on fantastic projects, with many in our team having developed long-term relationships with many great clients. Heathrow’s Terminal 2, Doha’s new metro, the vast £1billion Elephant and Castle redevelopment in London, the extension to the ExCeL centre and the Royal Hospital for Children and Young Persons in Edinburgh are examples of some of the amazing projects where we have led the Fire Engineering design with other Hoare Lea disciplines. As part of long standing Fire Engineering relationships with external clients, we have led the fire safety design on seven of Manchester’s ten tallest buildings (including the UKs tallest residential tower), developed the current fire strategies for most of the UKs largest airport terminals, and designed two world cup stadia. A particular area where we have invested heavily is training and research. We have numerous research groups within the team to ensure that we remain at the cutting edge of our discipline; this includes computational and numerical modelling, emerging fire risks, new techniques and even fire testing – we recently led the design and implementation of two of the world’s largest ever cross laminated timber (CLT) compartment fire tests in France, to successfully validate our detailed calculations for a highly sustainable timber office building project. In addition to Hoare Lea’s best-in-class training, the fire group have developed extensive additional training and development opportunities – weekly training sessions for everyone, regular training away-days, innovation days and access to external training and conferences. We place a particular emphasis on enabling our team to achieve Chartered Engineer status – we have developed a programme for this and numerous fire engineers have obtained their CEng with us over the years. This is all enabled by our very experienced and highly qualified team. We are active in a number of key organisations such as the Society for Fire Protection Engineers (SFPE), Smoke Control Association, BSI Group and Institution of Fire Engineers. Why Work For Us? The Fire Engineering group’s strategy is simple, we want to do world-class fire engineering on the best projects with great clients. We want the team to enjoy the projects they do and who they work with, so our portfolio is of high quality, varied and really interesting. As part of Hoare Lea’s larger team of built-environment specialists, we have access to some of the UKs largest and highest profile projects. However, we also work independently and have developed long-term relationships with some great clients – there is no greater personal satisfaction from winning repeat projects from clients who think you’ve done a great job and like working with you. We are strong because we recognise that everyone has different skills to offer – our team includes ex fire service, building services and building control professionals, and engineers with degrees in physics, mechanical engineering, chemical engineering, materials science, forensics – oh, and fire engineering. The opportunities we provide for training and development are second-to-none. We invest significantly in this, and our aim is to ensure our team can achieve Chartered Engineer status. We have a highly experienced and qualified team to ensure that this can happen. We really want everyone to have the right work-life balance and to enjoy their work. We enable this by having a great benefits and flexible working package – including the ability to work a 9-day fortnight, and by choosing only the best projects for great clients, supported by extensive training and experienced colleagues. We are a really friendly, supportive and inclusive team, and enjoy numerous socials with our office colleagues and with the fire engineering team. The Role • Hoare Lea’s Fire Engineering team focuses on the fire safety design of buildings., • We work with colleagues within Hoare Lea as part of a multi-disciplinary team, and also have a significant portfolio of long-term external clients., • Our projects are principally based in the UK, and a detailed understanding of UK regulations and design guidance is desirable., • Able to work with, and have an appreciation of the integration of, other construction professionals’ requirements for the project., • Ensuring open communication among all project team members so that feedback is provided and acted upon efficiently in a timely manner., • Attending design team meetings, design workshops, client meetings and site meetings., • Travel to clients or projects in the UK, and occasionally internationally, according to project demands., • Working knowledge of software analysis tools – evacuation, smoke and fire modelling, heat radiation models and structural fire modelling. What We Are Looking For • Experience working within a fire engineering consultancy role., • A relevant degree or equivalent qualification in Engineering, Building Services, Maths, Architecture, or Physics, with a keen interest in Fire Engineering. You will have a good technical knowledge in the primary discipline of fire safety design., • You will be IT literate with a working understanding of fire modelling software analysis tools., • You should have excellent communication skills and an interest in working in a team environment., • You will have the ability and commitment to effectively deliver to demanding timescales, and have good organisational and planning skills. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact . If shortlisted, one of our recruitment team will be in touch to arrange a introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, click here to find out more. Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list.

Pricing Algo Java Engineer Up to £160,000 on the base I am looking for experienced Java engineers to join one of Europe’s top-tier fixed-income algorithmic trading desks. The role involves building a greenfield execution system from the ground up, spanning five core business domains, with a strong focus on performance, reliability, and clean system design in a front-office trading environment. Role Description You are a confident and self-motivating developer with a solid understanding of electronic markets. You are client focused and are comfortable communicating with stakeholders across the bank. You are at home developing in a small self-organising team and value user feedback within an agile development process. You can manage expectations effectively and have a demonstrable track record of owning delivery of a high profile product to demanding business users. You are familiar with the Fixed Income markets, both cash and derivatives, and understand the value of an intuitive, robust and reliable eTrading systems to a trading desk. Key Responsibilities: • Develop sophisticated algorithmic trading strategies using quantitative methods and statistical analysis, • Implement and optimize execution algorithms to improve trading efficiency and reduce market impact, • Collaborate with quants, developers, and traders to translate trading ideas into production-ready code, • Monitor and evaluate the performance of trading strategies, making real-time adjustments as necessary, • Conduct research on new trading opportunities and market inefficiencies, • Develop and maintain relationships with electronic trading venues and liquidity providers, • Contribute to the firm's overall electronic trading infrastructure and technology stack Required Experience: • Degree in Computer Science, Mathematics, Physics, or a related quantitative field, • Minimum of 5 years of experience in electronic trading or a similar role in financial markets, • Strong programming skills in Java, with experience in low-latency environments, • In-depth understanding of market microstructure, order types, and exchange connectivity, • Excellent problem-solving skills and ability to work under pressure in a fast-paced environment

Role: Rust Distributed Systems Software Engineer - Up to £200k + Bonus Salary: Up to £200k + Bonus Location: London (Hybrid) Skills: Language agnostic, just need to be a keen technologist (Ideally experienced in Rust, Python or C++) This firm is an elite company with high tech standards who have previously set tech world records. They are made up of some exceptionally talented individuals who above all are passionate about using the latest and greatest tech and pushing it to the limits. They’ll find the best team to suit your skillset/interests but you could be working on: • Designing and developing scalable, tested and production grade distributed systems, • R&D work for functional programming; either pre-existing languages (such as Rust and Erlang), or purpose-built languages similar to OCaml, • Building out Machine Learning Infrastructure and tweaking research models What else is in it for you? • Software Engineers are treated as the company's #1 asset, • Low attrition rate; people working there love what they do on a daily basis!, • Very friendly, tight-knit environment, • Flat structure, with a clear progression route

Full Stack Engineer – New Launch Hedge Fund (L/S Equity) Location: London Type: Full-time (5 days per week on-site in Victoria) A newly launched fundamentally driven long/short equity hedge fund, focused on the European Industrials sector, is seeking a talented Engineer to join its growing London-based team. The firm, currently composed of senior professionals from top-tier hedge funds including Citadel, DE Shaw, and Millennium, operates in a high-trust, high-accountability environment with a strong investment focus and entrepreneurial culture. Reporting to the CRO and collaborating closely with investment and data teams, this role offers the opportunity to design and deliver greenfield systems that visualise complex financial data, support analytical workflows, and integrate seamlessly with backend infrastructure. You’ll play a key role in shaping the fund’s research and tooling platform from inception. Responsibilities: • Build and maintain full-stack applications and internal tools, with an emphasis on high-performance, data-intensive frontend systems., • Collaborate directly with investment professionals, quants, and data scientists to develop responsive dashboards and analytical interfaces., • Integrate frontend components with Python-based backend services and APIs., • Optimise application performance for large datasets, leveraging efficient data manipulation and visualisation techniques. Qualifications: • 1–7 years of professional software engineering experience., • Strong academic background from a leading university., • Deep experience with modern JavaScript frameworks (React preferred), TypeScript, and data visualisation tools., • Proficiency in Python and familiarity with data workflows and backend frameworks (FastAPI/Flask)., • No sponsorship available – candidates must have the right to work in the UK.

Machine Learning Engineer Location: West London | On-site An innovative deep-tech company developing next-generation computing hardware is looking for a Machine Learning Engineer to join their growing team in West London. This is a unique opportunity to work at the intersection of machine learning, advanced hardware design and high-performance data processing. You’ll help build and optimise models that push the boundaries of AI efficiency and capability, working closely with multidisciplinary teams across software, hardware and research. You’ll play a key role in developing and refining new ML architectures, designing input/output encoding methods, and conducting rigorous benchmarking to evaluate and improve performance. This role is ideal for an engineer with a strong foundation in ML who enjoys both conceptual design and hands-on model development. Responsibilities • Design and optimise novel machine learning architectures for high-dimensional and visual data., • Develop and test hybrid physical/software ML models tailored to next-generation computing platforms., • Design and evaluate data encoding, preprocessing and postprocessing methods., • Build tools and pipelines for performance benchmarking and model evaluation., • Research and adapt state-of-the-art ML and computer vision techniques to new hardware paradigms., • Collaborate cross-functionally with hardware, software and research teams. Requirements • Strong background in machine learning algorithm development and optimisation., • Proficiency in Python and modern ML frameworks such as PyTorch, JAX or TensorFlow., • Experience with data modelling, preprocessing and performance benchmarking., • Understanding of ML evaluation metrics and model analysis methods., • Excellent communication skills and collaborative mindset., • 3+ years’ experience in ML, computer vision, data science or a related quantitative field. What’s on offer • £100k+ salary depending on experience., • Stock options and pension contributions., • 25 days annual leave + bank holidays., • Annual training and development budget., • A chance to work on cutting-edge AI technology in a fast-growing deep-tech environment with strong career progression potential. If you’re interested in this role and have all the necessary experience, then apply now. Otherwise, if you’re looking for other AI/ML and computer vision opportunities, reach out to Oscar Harper at IC Resources.

Software Engineer - Quantitative Finance 40+ top trading firms seeking exceptional engineers. Multiple immediate openings. What you'll do: • Build trading systems and market data infrastructure, • Develop quantitative research platforms and tools, • Optimize performance-critical financial applications Requirements: • 2+ years software engineering experience, • Strong C++/Python/Java skills, • Trading experience preferred but not essential Our network: • Pay: $150K-$800K+ based on experience, • Locations: London, Remote, • Focus: Trading platforms, risk systems, data infrastructure From high-growth prop firms to established systematic funds. Ready to engineer the markets? Apply now for confidential discussions.

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

🚀 Founding Engineer, World Class AI Startup Location: San Francisco, relocation from the UK provided, visa sponsorship available Compensation: Up to $180,000 base, plus equity and benefits About the Opportunity We are looking for an exceptional Founding Engineer to join a world class team building transformative artificial intelligence technology. This is a rare opportunity to work on cutting edge AI systems that will redefine how intelligence is built, deployed, and owned. You will be joining a highly selective group of engineers and researchers, including individuals from Oxford and Cambridge, working at the frontier of AI infrastructure and product innovation. The long term upside is significant, with the potential for genuinely life changing financial outcomes through equity participation. Why This Role Is Special Work on transformative AI technology that challenges cloud first paradigms and enables powerful AI systems to run efficiently across diverse environments Collaborate with elite technical talent from leading global universities Gain meaningful equity ownership in a company with exceptional growth potential Relocate to San Francisco with full visa sponsorship and support Have direct influence over product direction, architecture, and engineering culture Role Responsibilities Design, build, and scale core AI driven systems and platforms Work closely with research, product, and engineering to translate complex ideas into production ready software Own technical decisions and help shape long term architecture Move fast, experiment often, and build systems that can scale globally Technical Experience Experience with TypeScript, React, Node.js, Python, or similar backend languages Hands on experience building and shipping production systems Exposure to AI tools, machine learning platforms, or AI powered products Strong understanding of system design, performance, and scalability Who You Are Highly motivated, curious, and driven by solving hard problems Comfortable working in fast moving, high ownership environments Excited by early stage startups and building from first principles Ambitious, with a desire to build something category defining Compensation and Benefits Base salary up to $180,000 Meaningful equity with long term upside Visa sponsorship and relocation support from the UK to San Francisco Work alongside some of the most talented engineers in the industry

A world-leading global quantitative hedge fund are looking for a Data Engineer to support their systematic trading and research platform, with a focus on building, managing, and scaling datasets used directly by quants and traders. You will be responsible for developing automated ETL pipelines, integrating new and alternative datasets, implementing data quality checks, and contributing to the firm’s core data framework while working closely with research and trading teams. Stack: Python, Databases/Datalakes, Git The firm offers a highly collaborative, global environment with strong ownership, close interaction with quants and traders, and the opportunity to work on data systems that directly impact trading performance. Please get in touch if this is of interest.

Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description Our vision for the role We are searching for an experienced Senior Cloud Infrastructure Security Engineer with an unquenchable thirst for automation and a passion for DevSecOps methodology. You'll be working with a team of other engineers to build out and secure our expanding cloud infrastructure in AWS. While this is a hands-on engineering position (not a CISO or a consulting role), you will need the confidence and gravitas to heavily influence engineers and managers across a wide technical function. The team holds itself accountable to a high standard of build quality. We have recently completed the first major phase of a completely green-field infrastructure and platform rebuild that is designed to underpin Cint’s business applications for the next decade, while scaling to support a 10-fold growth in revenue. We are compulsive about infrastructure as code (nothing in our platform is created or deployed unless via a code change) and driven to achieve a full end to end continuous deployment pipeline. Major elements of our platform include AWS (we make significant use of S3, RDS, Kinesis, EC2, EMR, ElastiCache, ElasticSearch and EKS). Elements of the platform will start to expand into GCP (Compute Engine, Cloud Storage, Google Kubernetes Engine and BigQuery). Other significant tools of the platform include Linux, Terraform, Kubernetes, Docker, Packer, Ansible and Jenkins. We support applications and services written in Golang, Python, Java, Scala and .Net. We monitor and alert on everything we deploy via Grafana, Prometheus, Graphite and ELK stacks. You will be someone that shares our values and ambitions and can bring security best practices and specific cloud security expertise to the party. You will additionally be the kind of person that is energised by complex challenges, teamwork and problem solving. In return, we can offer a great tech culture, highly competitive compensation packages and employment benefits. Qualifications Responsibilities • Work as part of the Infrastructure team defining and improving our general security posture across legacy and green field resources including data, applications and networks, • Provide point of expertise on application, data and network security to our wider engineering teams - engaging with them in order to ensure consistent adoption of security policies and best practice, • Participate in the automation of software to our cloud platform and embed security into our methodology, embracing DevSecOps, • Improve our monitoring and alerting systems to enhance them with specific and relevant security data points, • Participate in an on-call rotation and assist with troubleshooting issues that arise, • Three years or more experience in Cloud Infrastructure roles (predominantly AWS) working within teams that practice DevSecOps, • Ability to interact comfortably with AWS via CLI and/or API, • Proficient in managing Infrastructure exclusively with Terraform, • Specific expertise in threat assessment, attack surface management, data security, the network stack at L4 and L7, DNS, VPC security, IGW, WAF and CloudFront, • Experience designing and managing IAM policies, roles and trust policies, • Good knowledge of most of VPN, MFA, SAML, OAuth2, KMS and TLS, • Good knowledge of some IdP (Okta, OneLogin, Auth0) frameworks and integrations, • Experience building and running Docker images/containers securely, including container orchestration security, • Experience of code security audit, static and dynamic analysis, defensive programming techniques and visualisation and measurement of security KPIs, • Expertise in at least one scripting or programming language (Python, Bash, Ruby, Node, Golang, Java), • AWS Certified Security Specialist, • Hands on experience designing and implementing security controls within GCP, • Experience defining and operating a Security Incident Response process, • Good knowledge of monitoring and alerting using one or more of: Graphite, Statsd, Prometheus, Grafana, OpenSearch, • Any experience of ISO27001 certification processes, • Understanding of “cloud native” and 12-Factor applications, • Offensive or defensive penetration testing experience Additional Information Our Values Collaboration is our superpower • We uncover rich perspectives across the world, • Success happens together, • We’re pioneers in our industry, • Our curiosity is insatiable, • We’re accountable for our work and actions, • Excellence comes as standard, • We learn from each other’s experiences, • Stop and listen; every opinion matters, • We embrace diversity, equity and inclusion. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. () Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our ___.

Machine Learning Research Engineer - LLM post-training/mid-training Our team is partnered with a materials discovery stealth venture based in San Francisco and London, led by former Oxford and Isomorphic Labs leaders in AI and experimental science. The team is pioneering large-scale language models that reason, adapt, and accelerate discovery workflows. They are combining experimental validation, synthetic data generation, and scalable infrastructure to push the boundaries of autonomous research. This is a rare chance to be part of the founding team, shaping technical direction and building systems that redefine how science is done. The Role • You will design and implement novel approaches for model adaptation and reasoning, exploring techniques that improve generalization, controllability, and scientific understanding., • This includes mid-training strategies, post-training alignment, and inference-time optimization for complex workflows., • You'll also develop new reasoning paradigms such as retrieval-augmented and tool-augmented approaches and build robust evaluation frameworks for applied scientific contexts. Qualifications: • PhD. or equivalent experience in Computer Science, Machine Learning, or a closely related discipline, • Practical experience working with LLM training pipelines, including pre-training, mid-training, or post-training stages, • Strong grasp of transformer architectures, optimization techniques, and representation learning principles, • Proficiency in Python and familiarity with major ML frameworks such as PyTorch, DeepSpeed, or JAX, • Knowledge of alignment and reasoning strategies, including in-context learning, chain-of-thought, tool integration, or retrieval-augmented approaches, • Ability to combine innovative research thinking with pragmatic engineering to deliver scalable, high-performance systems

AI Engineer – LLMs / Applied AI London (onsite) Salary up to £180k + equity We’re working with a fast-growing AI startup building proprietary algorithms that are redefining how complex knowledge work is done. With strong revenue traction, top-tier investors, and a deeply technical founding team, this is a chance to help build a category-defining company from the inside. What you’ll be responsible for: • Designing, building, and deploying production-grade AI algorithms that materially improve output quality in real-world applications, • Owning state-of-the-art evaluation pipelines to benchmark models, guide R&D, and support rapid iteration, • Researching and implementing advanced prompt engineering and LLM interaction techniques, • Working across the stack (primarily Python, but also Postgres and React) to ensure research translates cleanly into customer-facing product, • Moving fast from idea to production, with direct customer feedback loops The environment: • High-ownership, low-ego team of AI researchers and elite engineers, • Strong commercial traction with hundreds of enterprise users globally, • Recently closed a major funding round from top-tier investors, • Ambitious, execution-focused culture with very high engineering standards What we’re looking for: Must-haves: • Deep Python expertise and experience shipping AI systems into production, • Hands-on experience with LLMs, prompt engineering, and modern model architectures, • Proven track record building evaluation frameworks or ML pipelines used in live environments, • Comfort working end-to-end across the stack, • Clear communicator who can reason about complex technical trade-offs, • 4+ years experience total Nice-to-haves: • Publications at top ML conferences (NeurIPS, ICLR, ICML), • Experience with LLM evaluation tooling (e.g. OpenAI Evals or similar), • Strong GitHub presence or technically ambitious side projects What’s on offer: • Salary up to £180k + meaningful equity, • Work directly with a highly technical founding team, • Visa sponsorship and private medical insurance, • London-based, high-performance office environment with meals provided, • Opportunity to help shape a product and company with genuine breakout potential Apply below!

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

At CloudHQ, our mission is to deliver flexible, efficient, and resilient data center solutions to businesses worldwide. Founded by a pioneer in data center REITs, we are a rapidly growing organization with state-of-the-art data center sites globally in locations such as Ashburn, London, Frankfurt, Paris, Milan, Osaka, and São Paulo. As we embark on an exciting phase of global growth, we are looking for top-tier talent to drive our success and shape the future of CloudHQ. This position can be located out of the UK, France or Germany (London, Frankfurt or Paris preferable) Role Overview The Principal Electrical Engineer, Construction, Electrical Subject Matter Expert will provide technical leadership and specialized expertise in the design, delivery, and management of electrical systems for data center projects across Europe. Acting as a trusted advisor within CloudHQ’s Construction Management team, the Electrical SME will ensure that electrical infrastructure is designed, installed, tested, and commissioned to the highest industry standards. This critical role will focus on delivering high-performance electrical systems, addressing technical challenges, and aligning infrastructure development with CloudHQ’s commitment to safety, reliability, scalability, and energy efficiency. The SME will work alongside stakeholders to champion innovation, compliance, and best practices, driving the successful deployment of mission-critical facilities. Key Responsibilities Technical Leadership in Electrical Systems • Act as the subject matter expert on all electrical systems for data center construction, including:, • High-voltage systems, • UPS systems, • Switchgear and power distribution infrastructure, • Backup generators, • Electrical monitoring and intelligence systems, • Establish technical standards and provide guidance for the design, installation, and commissioning of electrical systems, ensuring compliance with CloudHQ’s specifications, tenant requirements, regional regulations, and industry standards., • Proactively research and recommend technical solutions for redundancy, energy efficiency, and scalability within data center environments., • Provide value engineering recommendations to optimize cost while maintaining the integrity of electrical performance. Project Support and Execution • Collaborate with Construction Management teams, general contractors, and vendors to resolve electrical-related challenges during design and construction phases., • Conduct technical reviews of construction drawings, specifications, and procurement packages to ensure designs align with operational goals for reliability and safety., • Participate in factory witness testing, validating the performance and compliance of equipment (e.g., UPS, generators, switchgear) prior to delivery., • Provide technical oversight during installation and commissioning, ensuring consistency with design documentation and operational requirements., • Contribute to change control processes for electrical modifications, ensuring all changes are assessed for risk, feasibility, and compliance. Compliance and Risk Management • Ensure electrical systems comply with European building codes, electrical safety regulations, and environmental sustainability principles., • Collaborate with commissioning teams and regulatory bodies to resolve compliance challenges during testing and handover phases., • Identify and mitigate risks related to electrical system design, delivery schedules, and installation, driving proactive solutions to avoid delays or operational interruptions. Collaboration and Stakeholder Management • Serve as a trusted technical advisor for internal teams, external contractors, and tenant representatives, providing clear recommendations and insights on electrical systems., • Represent CloudHQ in Owner/Architect/Contractor (OAC) meetings and stakeholder coordination sessions, ensuring electrical objectives remain on track throughout the project lifecycle., • Work with tenant teams to customize electrical solutions, achieving their unique operational goals while aligning with CloudHQ’s design standards., • Build and maintain strong relationships with vendors, utility providers, and industry experts to support smooth delivery and adoption of cutting-edge electrical innovations. Documentation and Reporting • Provide regular technical updates and reports for senior management and stakeholders on electrical system progress, risks, and opportunities., • Maintain comprehensive records of design revisions, testing results, and commissioning documentation for operational and compliance purposes., • Contribute to the development of knowledge-sharing practices, mentoring internal teams and providing training on electrical systems and data center best practices. Required Skills and Experience Technical Expertise • Extensive knowledge of electrical systems design and implementation for mission-critical facilities such as data centers, industrial facilities, or semiconductor environments., • Proven experience with the design, operation, and troubleshooting of:, • High-voltage systems, • UPS systems and power distribution networks, • Backup power systems (e.g., generators), • Precision monitoring and fault-tolerant electrical systems, • Familiarity with energy efficiency technologies and strategies for sustainable electrical solutions in large-scale operations. Construction Management Knowledge • Hands-on experience in the delivery and commissioning of electrical systems during construction-intensive phases, ideally for hyperscale environments., • Skilled in coordinating teams of contractors, vendors, and consultants to deliver electrical scopes within schedule, budget, and quality constraints. Compliance and Regulatory Knowledge • Solid understanding of European regulations and electrical codes, including EN standards governing electrical systems for data centers., • Knowledge of tenant permitting systems and fire safety processes related to electrical installations. Project Management Skills • Strong capability to manage timelines, budgets, and technical deliverables while addressing risk and change challenges., • Proficiency in project management tools (e.g., Microsoft Project, Smartsheet) and design software such as AutoCAD, Revit, and power system modeling tools. Communication and Problem-Solving Skills • Excellent written and verbal communication skills, capable of translating complex technical data into actionable insights for diverse audiences., • Demonstrated ability to resolve technical issues during construction phases, balancing stakeholder expectations with practical solutions. Travel and Flexibility • Willingness to travel extensively across Europe to support project sites, utility meetings, and customer engagement (approximately 50–70% travel)., • Availability to address critical milestones or emergencies during key project phases. Preferred Qualifications Education • Bachelor’s or Master’s degree in Electrical Engineering or a related discipline. Experience • 7+ years of experience as an electrical engineer or subject matter expert, with significant exposure to hyperscale data centers or industrial-scale applications., • Proven track record of delivering complex electrical systems for large-scale infrastructure projects, preferably within developer-led initiatives. Certifications • Certifications such as CEng, LEED AP, PMP, or equivalent credentials are preferred.

Lead Machine Learning Engineer Location: London (Hybrid) Salary: Highly Competitive + Benefits We’re partnered with an innovative AI company building world-class technology that powers real-time voice and audio intelligence. Their products use deep learning and signal processing to isolate speech, eliminate background noise, and enhance communication clarity across enterprise, consumer, and high-performance sectors. They’re now looking for a Lead Machine Learning Engineer to take a hands-on leadership role within their R&D team. This position combines technical ownership and strategic direction, guiding the research, development, and deployment of machine learning models for real-time speech enhancement. Responsibilities: • Lead the design, training, and optimisation of ML models for speech separation and noise reduction., • Provide technical leadership and mentorship to a small, high-performing engineering team., • Bridge research and production — ensuring scalable, low-latency model deployment., • Collaborate cross-functionally with software and product teams to integrate ML systems into live products., • Contribute to the company’s long-term AI strategy and technical roadmap. Requirements: • MSc or PhD in Computer Science, Machine Learning, or Signal Processing., • Proven experience in leading or mentoring ML/AI engineering teams., • Deep understanding of digital signal processing and speech/audio modelling., • Proficiency with Python, PyTorch/TensorFlow, and modern ML frameworks., • Track record of delivering production-grade ML systems with measurable performance improvements., • Experience with low-latency inference and model optimisation (ONNX, TensorRT, quantisation) is highly desirable. This is an opportunity to take ownership of the machine learning function within a growing AI company, driving innovation in real-time communication and audio intelligence. If you fit the requirements and are interested in this opportunity, then apply now! Otherwise, if you're interested in any other AI/ML and Computer Vision roles, then reach out to Oscar Harper at IC Resources.

Safe Intelligence is on a mission to make AI safe and reliable for everyone. To help us achieve this, we're seeking a Full Stack Software Engineer to join our team! We're particularly looking for someone with strong Golang, Typescript and Kubernetes experience. Python skills would also be a welcome bonus! We’re looking for experience of different types of architectures and understanding of the tradeoffs between them. In this role, you'll be a senior contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. Note: the role is 3-4 days per week in the office in London (based in Hammersmith). We're excited to have you contribute to our mission! Responsibilities: As a Safe Intelligence Full Stack Software Engineer, you will: • Engineering of Golang-based backend systems, focusing on API development and integration., • Engineering on our TypeScript-based frontend systems, primarily utilizing React to craft intuitive and highly functional user interfaces., • Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows., • Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations., • Collaborate closely with our scientific and technical teams to interface with and containerize our PyTorch-based verification toolkit., • Champion an API-first development approach to deliver feature-rich, versioned interfaces that support both our TypeScript user interface and Python-based SDKs., • Develop and maintain Infrastructure as Code (IaC) and DevOps pipelines to ensure reliable service delivery and updates. Requirements: The technical requirements for the role are: Must have: • Ability and experience in system programming using Golang. This includes knowledge of database (MongoDB) access patterns (e.g., Optimistic Concurrency Control - OCC) and schema design, domain-driven architecture, and concurrency., • Proven experience developing production-grade RESTful APIs ideally with an API-first approach., • Some proficiency in JavaScript/TypeScript-based frontend development, with extensive expertise in React. This includes a deep understanding of the DOM, component design, CSS, and state management., • Familiarity with Kubernetes-specific platform components and principles, such as load balancers, cluster DNS, autoscalers, API/SDK toolsets, and the operator pattern. Experience developing and containerizing microservice applications is a plus., • Proficiency in integration and unit testing, with a strong commitment to code quality and maintainability., • Strong knowledge of DevOps and Git best practices. Experience automating version control, testing, and releases, preferably with GitHub Actions. Nice-to-have: • Familiarity with the OpenAPI specification and code generation toolsets for API development., • Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial., • Experience configuring and maintaining cloud infrastructure including network infrastructure, compute, access control policies, load balancers, Public Key Infrastructure (PKI), and DNS. Ideally, experience with AWS and Terraform or similar IaC tools. At a personal level we’re also looking for someone who is: • Passionate about delivering software to realize safe AI solutions in line with client needs., • Deeply technical and constantly in a state of learning., • Able to communicate clearly and efficiently with a variety of audiences including developers, clients, researchers, partners and executives., • Fearless in getting "hands-on" with technology and execution., • Has a strong understanding of modern software engineering processes., • Comfortable with ambiguity with a drive for clarity., • Collaborative with, and respectful of others on the team., • Honest, straightforward and caring about each other’s well being. Why Safe Intelligence is for you: We strongly believe AI can empower individuals and society to be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. Compensation & Benefits Safe Intelligence provides competitive compensation based on role and candidate experience. In addition, company benefits for all roles include: • Stock option benefits, • Mentoring, learning and development allowance, • Regular team social and work events, • Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives. Equality and Inclusion We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. Location & Office Culture Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience. Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety). Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!

Senior Python Engineer | London | £100k to £150k + benefits This is a role for engineers who want to work on problems that actually matter. You will be building backend systems that support advanced AI research and deployment decisions. The software you work on influences how complex models are tested, understood, and monitored before they reach the real world. This is serious engineering in a fast moving space, with high expectations around quality, reliability, and judgement. What you will work on • Building and improving backend systems used by internal teams every day, • Working on tools that operate at scale and need to be both fast and dependable, • Helping shape how new systems are designed and brought into production, • Collaborating closely with technical stakeholders to solve ambiguous problems, • Taking real ownership over the software you build Most of the work is Python, but this is not scripting. You will be designing systems that need to be correct, performant, and maintainable under real load. What makes this role different • You are close to the problem, not buried under layers of abstraction, • You work directly with stakeholders and influence how tools are designed, • You will own features end to end, from idea through to production use, • Engineering standards are high, but speed still matters, • This is a role where judgement counts more than dogma What they are looking for • Backend engineers who enjoy complexity and responsibility, • People who care about code quality but know when to move quickly, • Engineers who think in systems, not just features, • Those motivated by the impact of AI and how it is developed Experience with LLMs, agents, cloud platforms, or security is a bonus, not a requirement. This is a career defining role for someone who wants to stay deeply technical and work on problems that will only become more important over the next decade. If you’re looking for a role where you can make tangible impact, work on an interesting product, and be part of an exceptional team, get in touch at .

If you are a Front End-leaning Principal engineer who wants to combine your experience in web and AI to help unlock other engineering teams, this might be the role for you. This role will also be an opportunity to apply AI to real-world problems inside a healthy, profitable, and rapidly growing business. No need for start-up chaos. This business already has millions of customers and has built an engineering culture that ensures those customers experience a speedy, seamless online experience every. single. time. You will help them stay ahead of the curve by solving both technical and sociotechnical problems. You would be joining a squad of Principal engineers with different expertise that serves as a centre of excellence to the 16+ engineering teams in the wider engineering function. Your domain? Everything front-end. What are the challenges here? • Culture. Embody the standards of the existing engineering culture and help firmly embed them across the different teams. Showcase technical excellence by doing is the idea., • Technical. How to build systems that deliver delight for millions in a way that feels as if everything is built for the individual., • Innovation. How will they remain the top-of-mind business in their domain when customers use AI instead of Google to do their research?, • AI (External) how to build amazing hyper-personalised journeys for millions of customers in near real time., • AI (Internal) how to apply the efficiencies of AI to how teams build and deliver front ends FAQ's • Salary? Up to £145 000 + 20% bonus, • Flexible working? Hybrid: 3 days a week (TWT) in a London office Does that sound like your next role? If yes; Send me an email to with “Straight to the Principal's Office” in the email title. In 2 lines, tell me about the impact you have had in your current role, and include a CV. A link to your LinkedIn profile is more than fine if you have not written a CV yet. All CVs received this way will be reviewed by a human and get a reply. LinkedIn applications may not be all be reviewed.

Job Title: Big Data Developer Location: UK Experience: 2–5 years Education: Bachelors in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Essential skills required : • Designing and implementing the systems of the software., • Load operations by using Extract Transform (ETL Process)., • Developing systems for collecting and processing the data., • Should have the ability to research new methods for gaining valuable data and improving its quality., • Developing structured data solutions by using multiple programming languages and tools., • Developing data architecture that meets the needs of the business., • Collaborating with the other team members, data analysts, and data scientists., • Mining data from various resources to construct efficient business models. Soft skills required : • Developing, maintaining, testing, analysing, and evaluating a company's data., • Gathering large amounts of data from multiple sources., • Ensuring data pipelines are scalable, secure, and able to serve multiple users., • Converting structured, unstructured, and semi-structured data into actionable insights for a business. Educational Criteria : • Bachelor’s degree in computer science, Maths, IT, statistics or physics related field., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

Software Engineer | Building Intelligent Systems That Make an Impact Central London 4 or 5 days a week on site Existing SC or DV Clearance is required National Security Sector An exciting opportunity has arisen for a Software Engineer to join a cutting-edge team developing impactful, mission-driven technology. The role offers the chance to contribute to projects such as AI-powered tools for analysts and operators, secure data pipelines, and innovative prototypes that explore new frontiers in software capability. You’ll become part of a tight-knit, highly capable engineering group that values independence, precision, and tangible outcomes. This is a place for people who enjoy solving complex problems, experimenting with new ideas, and seeing the real-world effects of their work. Key Skills and Attributes • Skilled in producing robust, readable, and scalable code, • Adaptable and eager to master new technologies or unfamiliar environments, • Excellent communicator who thrives in cross-functional collaboration, • Engaged participant in agile processes, including stand-ups and sprint reviews, • Comfortable taking projects from initial concept through to delivery, • Analytical thinker who can decompose challenges and deliver iterative value Preferred Background • Experience using Java, C++, or Python, • Understanding of data-intensive systems, backend services, or cloud-based platforms, • Familiarity with regulated, high-security, or mission-critical development contexts, • Confidence working in research-led or exploratory project settings, • Curiosity about artificial intelligence, public sector innovation, or national security technology, • Interest in influencing technical direction and supporting team evolution over time This role is ideal for someone who wants to push boundaries, collaborate with talented peers, and build software that delivers genuine impact. You’ll have the autonomy to explore, innovate, and shape solutions that matter.

Embedded Software Engineer/ Consultant As an Embedded Software Engineer, you will get to tackle diverse, real-world challenges. Typically, this will involve going through the whole product life cycle, you will capture requirements, design, develop, document, test, and deliver through to production. My client variety of projects, from proof-of-concept through to working prototypes, provide both intellectual and practical challenges. Requirements: My client is looking for any candidate from a research heavy PhD background or candidates with a strong academic background or 2+ years of experience within an Embedded Software role. Skills that would be helpful for you to be familiar with: • design and implementation of technological solutions, • Linux, and programming in C and at least one other language (such as C#, C++, MATLAB), • Bare metal/RTOS software development on ARM targets, • High level software architecture, • Embedded software debugging methods, • Electronics development and/or hands-on debugging, • Scripting for test or signal processing (for example in MATLAB, Python) My client is looking for driven candidates who are highly motivated to be in a customer facing role while remaining technical. Details: • Candidates must be sole British and happy to go through the relevant security clearances., • Onsite role, based just south of Cambridge., • Salary DOE., • Private medical insurance for you and your family., • Life insurance X6 salary. If this role is of interest then please apply or send your CV to

SUMMARY: We're looking for self-motivated individuals to join our dedicated team of Service Engineers in the UK to provide the highest level of client service! The Field Service Engineer will be responsible for visiting customer sites to install, troubleshoot and maintain Cytek instruments and equipment. ESSENTIAL DUTIES AND RESPONSIBILITIES: To perform this job successfully, an individual must be able to perform essential duties and responsibilities satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Core responsibilities for this position include: • Installation, troubleshooting, maintenance, upgrading and repair of flow cytometers and Cytek products with proficiency in a timely manner., • Professionally managing technical needs of customers while delivering service excellence., • Maintaining a regular return visit frequency, keeping complete and accurate written and oral records of practical examinations., • Identifying customer needs and contributing to improvements in Cytek products., • Managing the daily schedule to ensure appropriate priority is placed upon urgent customer needs, while setting customer expectations for issues of less urgency., • Connecting with customers in a timely manner during business hours. Professionally communicating technical information to them via telephone technical support, service visit scheduling, product problem information gathering, fault isolation, corrective action, and site visit closure with high quality and efficiency., • Completing all business related transactions to include Field Service Reports, Instrument Qualification Reports, Parts Return Tags, etc. in a timely manner (usually within 48 hours) with high accuracy., • Managing personal service spare parts inventory to ensure accuracy on a regular basis., • Demonstrating the ability to quickly learn new technologies and develop skills in troubleshooting intra-connected complex systems., • Other duties as assigned REQUIREMENTS & QUALIFICATIONS: The requirements listed below are representative of the knowledge, skill, and/or ability required: • Bachelor's degree in Engineering, Life Sciences, and/or other technical degree, military training or experience, • 2-years experience troubleshooting and repairing Life Science equipment and/or integrated systems (software, optics, fluidics, electronics, etc.), • Work experience with the repair or service of electrical or mechanical equipment is highly preferred., • Previous experience in Flow Cytometry Repair is a plus, but not required, • Have a basic understanding of biology as it relates to flow cytometry, • Professional level English is a must – other European languages preferred., • Proficiency in Microsoft Office Suite. PHYSICAL DEMANDS AND WORK ENVIRONMENT: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • This is a full-time position, with evening and weekend work required as job duties demand, • This job entails a high volume of traveling – up to 75% of the time. Individual should be able to travel on commercial airlines, train, rental/leased car to fulfill job duties, • Individual should be able to lift 12-15kgs with ease, and be able to work in a standing position for 4 hours at a time. WHO WE ARE: At Cytek Biosciences, we are “Reimagining Cell Analysis to Fuel Scientific Discovery.” Our teams are on a mission to advance cancer and cell biology research using a powerful cell analysis technique called full spectrum flow cytometry. We are committed to providing powerful solutions that enable scientists to obtain deep biological insights rapidly and efficiently through high quality, high parametric datasets. Inclusion and diversity are core values at Cytek, and we place a high value on the unique perspectives and ideas that they foster. The Cytek team represents many diverse cultures, backgrounds and viewpoints. We seek to maintain high ethical standards and a culture that values honesty, integrity, and transparency in all that we do. We are committed to our employees and to the communities we serve worldwide. Cytek solutions are used in many of the world’s most renowned pharmaceutical, academic and research institutions. We are a growing company that is always looking for energetic, educated professionals. Expand your possibilities professionally and personally, and join our team as we satisfy long unmet needs in fields of research and medical discovery! All the information collected is needed to consider your application for a job at Cytek Biosciences. If you want to know more about how we will process your information as part of our recruitment process check our ___. Please note that our Applicant Privacy Policy is not supported for viewing on mobile devices. For optimal access, we recommend using a desktop device. Alternatively, you can contact us directly to request a copy of the Applicant Privacy Policy before proceeding with your application.

About Wilgot Wilgot is building the category-defining Agentic Product Optimization (APO) platform for e-commerce. We are addressing the "adapt-or-die" reality that brands face as search shifts from keyword-matching to AI-driven discovery in interfaces like ChatGPT and Google AI Mode. Recognized by Dawn Capital as one of the top AI startups redefining e-commerce, our platform automates the repositioning of product catalogs for global, recognized brands, ensuring every product finds its buyer through intelligent content. What we do Wilgot provides the intelligence layer that transforms "thin" metadata into Intelligent Content optimized for the era of Agentic Commerce. Our Core AI Loop: • Discover: Leverage AI and data analysis (customer queries, first-party data, Google, ChatGPT, Perplexity) across 100+ markets to identify hidden demand, language attributes, and purchase signals. This phase focuses on turning raw data into clear, actionable content strategy., • Generate: Build and deploy systems that create high-quality, structured, and intent-aligned product content (titles, descriptions, attributes, FAQs) natively in 100+ languages. The goal is to optimize content for both user conversion and interpretation/recommendation by AI search systems., • Iterate: Design and manage a continuous feedback and optimization system. Monitor product performance across major search platforms, then programmatically regenerate and improve content based on visibility, engagement, and conversion data to maintain optimal relevance and discoverability. The Role Having validated our proprietary AI engine, we are now scaling it into a sophisticated, autonomous agentic platform. As a Senior AI Engineer, you will transition from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise-scale production features. Key Responsibilities • Scale Agentic Architectures: Advance existing workflows into multi-agent systems capable of autonomous reasoning, state management, and self-correction., • Model Development & Fine-Tuning: Lead the full lifecycle, from designing training strategies and curating high-quality datasets to executing model fine-tuning., • Advanced Feature Engineering: Build pipelines that leverage LLMs to extract latent product attributes and consumer intent signals from unstructured data., • System Observability & Reliability: Implement evaluation frameworks to monitor model performance, hallucination rates, and direct business impact., • Technical Leadership: Influence our technical stack and help define the engineering culture of a rapidly scaling startup. Requirements • Technical Depth: Extensive ML engineering experience with a deep understanding of LLM architecture, training and fine-tuning (you don't just call APIs). You know how to use AI to generate features that drive performance, moving beyond basic metadata into deep semantic understanding., • Agentic Systems: Proven experience with agentic frameworks (e.g., LangGraph, PydanticAI) and managing memory and tool-calling in production., • Engineering Mindset: Ability to write clean, testable Python and familiarity with modern MLOps stacks., • Product Experience: Experience shipping ML systems in production for real users, with an experimental mindset and high bar for AI ethics. Why Join Wilgot? • Practical AI at Scale: Solve real-world, high-scale AI problems for global brands., • High Impact Team: Join a small, lean, high-growth team. You'll have significant influence on the technical stack and trajectory with no bureaucracy. You aren't joining a machine, you are part of building it., • Flexible Remote-First: Work remotely with autonomy, prioritizing deep work. Or from one of our hubs in Stockholm or London. We promote in-person collaboration with regular full-team offsites., • Generous Ownership: Receive a generous equity package, ensuring true ownership and a significant stake in the company's value as we scale globally., • Your choice of equipment: We provide a top-tier tech budget for your preferred hardware and home-office setup, ensuring you have the best tools for the job.

Fire – Engineer or Senior Engineer Glasgow, Bristol, Manchester or London Competitive salary + benefits We have an exciting opening for a Fire Engineer or Senior Fire Engineer to join our firm in our Glasgow, Bristol, Manchester or London offices. Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, electric vehicle salary sacrifice scheme, stock options, and up to 30 days of annual leave. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. Being part of one of the UKs largest building engineering consultancies, we benefit from collaborating with some of the best engineers in the business, with access to state-of-the-art technical support, and have the opportunity to work on some of the UKs largest and most high profile projects as part of a multi-disciplinary team. However, the fire team also works independently on fantastic projects, with many in our team having developed long-term relationships with many great clients. Heathrow’s Terminal 2, Doha’s new metro, the vast £1billion Elephant and Castle redevelopment in London, the extension to the ExCeL centre and the Royal Hospital for Children and Young Persons in Edinburgh are examples of some of the amazing projects where we have led the Fire Engineering design with other Hoare Lea disciplines. As part of long standing Fire Engineering relationships with external clients, we have led the fire safety design on seven of Manchester’s ten tallest buildings (including the UKs tallest residential tower), developed the current fire strategies for most of the UKs largest airport terminals, and designed two world cup stadia. A particular area where we have invested heavily is training and research. We have numerous research groups within the team to ensure that we remain at the cutting edge of our discipline; this includes computational and numerical modelling, emerging fire risks, new techniques and even fire testing – we recently led the design and implementation of two of the world’s largest ever cross laminated timber (CLT) compartment fire tests in France, to successfully validate our detailed calculations for a highly sustainable timber office building project. In addition to Hoare Lea’s best-in-class training, the fire group have developed extensive additional training and development opportunities – weekly training sessions for everyone, regular training away-days, innovation days and access to external training and conferences. We place a particular emphasis on enabling our team to achieve Chartered Engineer status – we have developed a programme for this and numerous fire engineers have obtained their CEng with us over the years. This is all enabled by our very experienced and highly qualified team. We are active in a number of key organisations such as the Society for Fire Protection Engineers (SFPE), Smoke Control Association, BSI Group and Institution of Fire Engineers. Why Work For Us? The Fire Engineering group’s strategy is simple, we want to do world-class fire engineering on the best projects with great clients. We want the team to enjoy the projects they do and who they work with, so our portfolio is of high quality, varied and really interesting. As part of Hoare Lea’s larger team of built-environment specialists, we have access to some of the UKs largest and highest profile projects. However, we also work independently and have developed long-term relationships with some great clients – there is no greater personal satisfaction from winning repeat projects from clients who think you’ve done a great job and like working with you. We are strong because we recognise that everyone has different skills to offer – our team includes ex fire service, building services and building control professionals, and engineers with degrees in physics, mechanical engineering, chemical engineering, materials science, forensics – oh, and fire engineering. The opportunities we provide for training and development are second-to-none. We invest significantly in this, and our aim is to ensure our team can achieve Chartered Engineer status. We have a highly experienced and qualified team to ensure that this can happen. We really want everyone to have the right work-life balance and to enjoy their work. We enable this by having a great benefits and flexible working package – including the ability to work a 9-day fortnight, and by choosing only the best projects for great clients, supported by extensive training and experienced colleagues. We are a really friendly, supportive and inclusive team, and enjoy numerous socials with our office colleagues and with the fire engineering team. The Role • Hoare Lea’s Fire Engineering team focuses on the fire safety design of buildings., • We work with colleagues within Hoare Lea as part of a multi-disciplinary team, and also have a significant portfolio of long-term external clients., • Our projects are principally based in the UK, and a detailed understanding of UK regulations and design guidance is desirable., • Able to work with, and have an appreciation of the integration of, other construction professionals’ requirements for the project., • Ensuring open communication among all project team members so that feedback is provided and acted upon efficiently in a timely manner., • Attending design team meetings, design workshops, client meetings and site meetings., • Travel to clients or projects in the UK, and occasionally internationally, according to project demands., • Working knowledge of software analysis tools – evacuation, smoke and fire modelling, heat radiation models and structural fire modelling. What We Are Looking For • Experience working within a fire engineering consultancy role., • A relevant degree or equivalent qualification in Engineering, Building Services, Maths, Architecture, or Physics, with a keen interest in Fire Engineering. You will have a good technical knowledge in the primary discipline of fire safety design., • You will be IT literate with a working understanding of fire modelling software analysis tools., • You should have excellent communication skills and an interest in working in a team environment., • You will have the ability and commitment to effectively deliver to demanding timescales, and have good organisational and planning skills. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact . If shortlisted, one of our recruitment team will be in touch to arrange a introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, click here to find out more. Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list.

Applied AI Engineer Adema AI – Real Estate & Planning Intelligence 📍 London / Hybrid / Remote (UK & EU) About Adema AI Adema AI is one of the fastest-growing AI startups in the UK, with a rapidly expanding and active user base across development, planning, investment, and advisory. We are building a deep, AI-native intelligence platform for the built environment — combining LLMs, graph-based machine learning, spatial analytics, and planning data to power real-world decision-making. What you see live today is only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. 👉 Platform overview: The Role We’re hiring an Applied AI Engineer to help scale Adema’s intelligence layer as adoption accelerates. This is a core technical role. You’ll be working on production AI systems already in use, while helping design and deploy the next generation of models, pipelines, and services that will define the platform. You’ll work directly with the founding and AI leadership team and have real influence over architecture, tooling, and technical direction. What You’ll Be Working On • Production MLOps pipelines for training, evaluation, and deployment, • LLM-powered workflows for planning, site intelligence, and decision support, • Graph-based ML models linking spatial, regulatory, demographic, and market data, • A growing recommendation engine and inference services (separate ML services, not monoliths), • Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis, • Microservice APIs (FastAPI or similar) connecting data, ML inference, and product, • Cloud-native AI infrastructure across Azure / GCP / AWS, • Continuous refinement of existing tools and replacement of legacy approaches with AI-first systems This is not a research-only role — everything you build is designed to ship and scale. What We’re Looking For Core Requirements • Strong Python experience across data engineering and machine learning, • Experience deploying ML models into production environments, • Hands-on experience with LLMs / applied NLP, • Strong SQL skills and experience with structured & semi-structured data, • Experience with FastAPI, REST APIs, and microservices, • Cloud experience (Azure, GCP, or AWS), • Familiarity with CI/CD and modern DevOps workflows Highly Desirable • Graph data, network analysis, or GNNs, • Spatial / geospatial data experience, • Containerisation (Docker / Podman) Equity & Upside • Warrants are available for the right candidate, • This role offers real upside, aligned with platform growth and adoption, • Early impact, genuine ownership, and exposure to product, commercial, and strategic decisions Why Join Adema AI • One of the fastest-growing AI startups in the UK, • Rapidly expanding real-world user base — your work is used immediately, • Build serious AI infrastructure, not slideware or demos, • Direct access to founders and decision-makers, • Solve complex, meaningful problems at the intersection of AI, planning, and real estate, • High-autonomy, high-trust engineering culture Who This Is For You’ll thrive here if you: • Want to build AI systems that ship and scale, • Enjoy working across data, ML, and infrastructure, • Care about architectural quality and long-term leverage, • Want upside, responsibility, and pace — not corporate drag

Company Insight: A leading quantitative trading firm is seeking a Data Engineer to join a high-impact data team operating at the core of a large-scale automated trading platform. Data underpins every decision in this environment. This role sits at the intersection of engineering, analysis, and live production, partnering directly with research and trading teams to ensure data flows are accurate, resilient, and research-ready. You’ll work hands-on with diverse datasets, build automation to support real-time systems, and play a critical role in maintaining the integrity of data that drives trading strategies globally. The Role: • Building and automating tools to onboard, classify, validate, and reconcile large, complex datasets, • Analysing and debugging data issues across multi-stage production pipelines, tracing anomalies back to source, • Performing data quality checks and maintaining the reliability of live data feeds supporting trading systems, • Partnering with quantitative researchers to clean, prepare, and featurise data for research and strategy development, • Supporting live trading operations by monitoring data health and resolving time-sensitive production issues, • Working with external data providers, exchanges, and brokers to improve data coverage and robustness Experience/Skills Required: • Experience working hands-on with large datasets to resolve complex, ambiguous issues, • A collaborative approach and comfort working with multiple technical and non-technical stakeholders, • 2+ years’ experience in data engineering, data science, or a related role (with a relevant technical degree), • Strong Python skills, • Experience working with SQL and relational databases, • Comfort operating in a Linux environment, • Exposure to ETL pipelines or production data systems is a plus, • Familiarity with financial or market data is advantageous but not required Pre-Application: • Please do not apply if you are looking for a contract or remote work, • Please ensure you meet the required experience section prior to applying, • Allow 1-5 working days for a response to any job enquiry

About A1 A1 is a self-funded, independent AI group, focused on building a new consumer AI application with global impact. We’re assembling a small, elite team of ML, engineering and product builders who want to work on meaningful, high-impact problems. About The Role You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead. You won’t just fine-tune models - you’ll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short. What You’ll be Doing • Build end-to-end training pipelines: data → training → eval → inference, • Design new model architectures or adapt open-source frontier models, • Fine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation), • Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeed, • Build data systems for high-quality synthetic and real-world training data, • Develop alignment, safety, and guardrail strategies, • Design evaluation frameworks across performance, robustness, safety, and bias, • Own deployment: GPU optimization, latency reduction, scaling policies, • Shape early product direction, experiment with new use cases, and build AI-powered experiences from zero, • Strong background in deep learning and transformer architectures, • Hands-on experience training or fine-tuning large models (LLMs or vision models), • Proficiency with PyTorch, JAX, or TensorFlow, • Experience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray), • Strong software engineering skills — writing robust, production-grade systems, • Experience with GPU optimization: memory efficiency, quantization, mixed precision, • Experience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer), • Contributions to open-source ML libraries, • Background in scientific computing, compilers, or GPU kernels, • Experience with RLHF pipelines (PPO, DPO, ORPO), • Experience training or deploying multimodal or diffusion models, • Experience in large-scale data processing (Apache Arrow, Spark, Ray), • Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI)