Research engineer jobs in United Kingdom

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

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

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

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

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

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

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

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

Want to join one of the most consistently high-performing Equity funds? The environment is lean, tech-driven and built around systematic trading. You’ll sit at the centre of this, building and scaling alpha algorithms, refining portfolio construction and optimisation frameworks, implementing research into production, and improving how signals flow through risk, sizing and execution across global equity books. Current projects include enhancing the portfolio construction stack, strengthening backtesting and simulation architecture, and improving the robustness of live trading systems handling equity datasets. Background wise, things are open. You might be a quant developer or an engineer working in the front office - but you’ll need strong programming capability paired with solid mathematical methods and the ability to work in a live trading environment. If you want to operate closer to the core of a high-performing systematic team, this is that move. Apply or reach out directly to megan@saragossa.io No up-to-date CV required.

🚀 Senior Data Engineer (Cloud Data Platform / Lakehouse) We’re hiring a Senior Data Engineer to build and scale a global cloud-native Data Lakehouse platform powering quantitative research and trading analytics at massive scale. 💡 What you’ll do • Build & evolve a large-scale Data Lakehouse (AWS), • Develop Python-based data pipelines for high-volume financial data, • Design OLAP / distributed data models for analytics & trading use cases, • Optimise performance across multi-region data platforms, • Ensure data quality, reliability, and consistency at scale, • Partner with quants, researchers, and traders on critical data products 🧠 What we’re looking for • Strong Python + SQL (essential), • 5+ years in data engineering / platform engineering, • AWS experience in production data environments, • Hands-on with Spark / Kafka / Snowflake / Databricks (or similar), • Experience with data lakes / lakehouse / distributed systems, • Background in financial services, trading, or quantitative environments

A world-leading systematic hedge fund are looking for an experienced HPC Engineer to lead their Compute Operations team. The fund manages around $40Bn in AUM and has been experiencing a period of rapid growth. In this role, you would lead the Compute Operations team, responsible for managing on-prem infrastructure and ensuring reliable, high-performance services for research and trading. The team works closely with Quant Researchers, Traders and Platform Engineering teams - underpinning the high-performance front office trading infrastructure. Tech Stack: Linux, HPC, Kubernetes The firm can offer market leading salary packages and an innovative, collaborative tech culture unique to the hedge fund space. If you are interested, do not hesitate to reach out!

We're working with a fast moving tech business looking for a Senior ML Engineer to own personalisation end to end. This isn't a research role. You'll be shipping models to production, building the pipelines that feed them, and running the experiments that improve them — all in service of recommendation engines and ranking algorithms that directly impact user experience. 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂'𝗹𝗹 𝗯𝗲 𝗱𝗼𝗶𝗻𝗴: → Design, train and optimise ML models for personalisation and recommendations → Build and maintain scalable data pipelines for feature engineering and model training → Deploy and monitor models in production — performance, availability, relevance → Lead A/B testing and offline experiments to drive continuous improvement → Evaluate emerging research in deep learning and GenAI for real-world integration 𝗪𝗵𝗮𝘁 𝘄𝗲'𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿: ✦ Full ML lifecycle experience — from development through to monitoring in prod ✦ Python + TensorFlow or PyTorch ✦ Kubeflow, TFX or similar training frameworks ✦ Model serving experience — Triton, TorchServe, TF Serving ✦ Real-time streaming and high-volume data processing ✦ Strong grasp of recommendation systems and personalisation algorithms ✦ Familiarity with Generative AI in production settings If this sounds like your kind of challenge, drop me a message or hit apply. Happy to share more details. #MachineLearning #MLEngineer #Personalisation #RecommendationSystems #MLOps #NowHiring

Principal Scientific Software Engineer – Quantum Error Correction Location: Major US Tech Hub (Relocation Supported) Ready to help build the future of computing? Curious about shaping technology that could redefine science itself? Looking for a role where your work doesn’t just scale systems—but changes what’s possible? Our client is at the forefront of next-generation computing, working on breakthroughs that could transform industries from pharmaceuticals to climate modelling. They are now seeking a Principal Scientific Software Engineer to lead the evolution of a cutting-edge quantum error correction (QEC) software stack—a critical step toward making quantum computing truly scalable and practical. This is more than a role. It’s an opportunity to be part of something genuinely game-changing, collaborating with world-class researchers and engineers to turn theoretical advances into real-world impact. 🌍 Why This Role is Great In this position, you’ll take ownership of a highly sophisticated software ecosystem and help shape the future of quantum computing: • Architect the future of QEC software: Design and guide the development of an end-to-end error correction stack—from high-level logical circuits to low-level execution layers., • Push the boundaries of compiler innovation: Work on advanced compiler infrastructure, leveraging SSA-based architectures and multi-stage programming models to optimise quantum circuits., • Lead and inspire technical teams: Mentor talented engineers and collaborate across disciplines, fostering a culture of innovation and technical excellence., • Bridge theory and real-world systems: Partner with researchers and hardware specialists to translate cutting-edge ideas into production-ready software., • Drive meaningful scientific progress: Contribute to research initiatives, publications, and breakthrough demonstrations in quantum technology., • Own complex, high-impact challenges: From decoding algorithms to fault-tolerant circuit transformations, you’ll tackle problems that sit at the frontier of computing. 🧠 About You This role is ideal for someone who thrives on solving deep technical challenges and shaping emerging technologies. You might bring: • A strong foundation in quantum computing, error correction, or compiler systems, • Experience working with advanced programming languages (such as C++, Rust, Julia, Haskell, OCaml, or similar), • Familiarity with compiler infrastructure, intermediate representations, or optimisation strategies, • A track record of leading technical projects or mentoring engineers, • Exposure to complex software systems across the full development lifecycle, • Interest in working at the intersection of science, software, and innovation Even if you don’t meet every requirement, transferable experience and a passion for learning in this space are highly valued. 🚀 What You’ll Gain • The chance to work on world-changing technology at the cutting edge of science, • Collaboration with leading experts in quantum computing and engineering, • Opportunities to contribute to research, publications, and real-world breakthroughs, • A supportive environment that encourages innovation, ownership, and growth, • Competitive compensation, including equity and relocation support 💼 Package • Base salary range: $120,000 – $200,000 USD, • Additional benefits include equity and a comprehensive package aligned with experience and location 🌈 Diversity & Inclusion Our client and we are committed to building inclusive teams that reflect a wide range of perspectives and experiences. Applications are welcomed from all backgrounds, and hiring decisions are made based on merit, potential, and passion for the role. 📩 Ready to Make an Impact? If you’re excited by the idea of shaping the future of computing and contributing to something truly transformative, we’d love to hear from you. Apply now and take your place at the forefront of technological innovation.

Software Engineer London / Hybrid | Perm Role £60,000 - £80,000 Harrington Starr has partnered with a fast-growing fintech that’s transforming how businesses manage foreign exchange and treasury operations. Their technology enables clients to access institutional-grade execution, automate manual workflows, and gain greater transparency across their financial processes. Handling billions in transactions each year, they continue to expand their product offering and deliver cutting-edge solutions that help clients manage risk more effectively. The Role This is an excellent opportunity for an experienced Software Engineer — ideally with a background in financial technology or FX — to join a high-performing engineering team within a scaling fintech. You’ll be instrumental in developing and enhancing the company’s core trading and treasury systems, building new features, improving performance, and driving integration across their technology stack. Key Responsibilities • Develop and maintain software across the full stack, • Contribute to architecture and design decisions, • Support, optimise, and maintain production code, • Research and integrate new technologies, • Foster a culture of engineering excellence and continuous improvement Key Requirements • 5+ years’ experience working with C#/.NET, • Experience developing front and middle office systems, • Strong SQL skills, • Experience with cloud-native solutions (Azure or AWS), • Knowledge of event-driven, microservices architectures, • Full SDLC experience — from design through delivery and support Key Benefits • Join a fast-scaling fintech building next-generation financial technology, • Work on complex, high-impact systems handling large-scale transactions, • Collaborative, innovative, and growth-oriented team culture, • Hybrid working model with flexibility and autonomy Please apply via the link provided or reach out to me directly to book in a confidential phone call - ollie.bluck@harringtonstarr.com

We're partnering with a fast-scaling fintech that's building the intelligence layer for debt markets. Think financial analysis, credit data, legal and ESG insights, all delivered at speed to some of the biggest names in banking, asset management and law. They need a Senior Software Engineer to join a cross-functional product team and help shape the backbone of their platform. What you'll be doing Backend-heavy engineering across a Python/FastAPI stack, working on everything from data pipelines and API design to ML/AI service integration. You'll be a proper senior IC, running code reviews, mentoring engineers, and getting involved early in research and experimentation, not just building to spec. The stack • Python (FastAPI, Flask, strong typing, Pydantic), • PostgreSQL, • AWS (Lambda serverless + ECS/Docker), • Internal dev platform with standardised CI/CD pipelines, • Feature flags and automated preview environments What you'll need • Strong Python and web framework experience (FastAPI preferred), • Solid API design and service-oriented architecture background, • Hands-on with data flow design, from persistent storage to API endpoints, • Good SQL knowledge, • Experience writing testable, maintainable code and conducting code reviews, • Ability to communicate technical decisions clearly to non-technical stakeholders What's in it for you • Top-of-market salary, equity, • 7% pension match, private medical, • 25 days holiday, hybrid working, and the ability to work abroad up to 3 months a year., • High ownership, real influence, and a codebase worth caring about. 2 days onsite (Central London) Salary - Up to £120 + equity If this sounds like you, please apply for more details.

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, an electric vehicle salary sacrifice scheme, stock options, and 25 days of annual leave (increasing with service), alongside flexible and hybrid working. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. About the role We have a brand‑new opportunity for a Senior or Principal Electrical Engineer to join our Science & Research team based in our London office. This is a great opportunity to join our Science & Research group. You will collaborate with specialist engineers and consultants on technically complex laboratory, research and innovation environments — including academic and public‑sector research facilities, bespoke end‑user laboratories, speculative commercial science buildings and R&D campuses. You will be part of a collaborative, highly knowledgeable team that combines a supportive and flexible culture with strong performance and a genuine passion for its work. This position is based in London, with opportunities to engage with colleagues across the wider business, including our long‑standing Oxford and Cambridge offices. These teams collaborate effectively on projects across the “Golden Triangle”, ensuring consistent delivery and shared expertise. As a Senior or Principal Engineer in the Science & Research team you will lead and deliver electrical designs for a wide range of science and research projects of varying scales and complexities. You will work within multidisciplinary project teams to produce robust, safe, efficient and innovative solutions that meet client briefs, regulatory standards and the specific needs of laboratory and research environments. A key part of the role is developing and mentoring a technically excellent, collaborative team. • Be responsible for the day-to-day technical delivery of the electrical design services for multi-disciplinary projects across several building sectors., • Lead the development of initial strategic concepts for projects ensuring solutions are appropriate for the brief and regulatory standards., • Interact regularly with internal and external stakeholders, ensuring a communicative, collaborative and timely approach to delivery This is a client-facing role, so you will be attending project meetings and disseminating/translating the brief within the project team., • Work with the team leader to help monitor fee expenditure, resources and work delivered., • Mentor and support our ‘next-gen’ professionals, including apprentices and graduates. About you To be successful for this role you’ll need: • Proven experience working as an Electrical Engineer (or in a closely related role) with a strong track record delivering a variety of complex projects — ideally including science, research or laboratory facilities where safety‑critical and highly‑reliable electrical systems are required., • Demonstrable experience of modern technical delivery processes and digital design tools, including BIM workflows and Revit. Familiarity with electrical design and analysis software such as Dialux/Relux and package tools for electrical schedules and outage/maintenance planning is expected., • Hands‑on experience specifying, designing or commissioning specialist electrical systems commonly used in science and research buildings — for example UPS and resilient power systems, generator/emergency power solutions, ring/main distribution, low‑voltage switchgear, isolated power systems, power quality and harmonic mitigation, and integration with BMS., • Knowledge of laboratory‑specific services and controls (e.g., cleanroom power distribution, fume cupboard exhaust power considerations, hazardous area classification and codes of practice, bonded earthing practices for sensitive equipment) or a willingness to rapidly develop this specialist knowledge., • Demonstrable experience working directly with clients, contractors and architects in a design‑consultant capacity — presenting technical solutions, translating client briefs into deliverable design packages, and supporting procurement/construction phases., • Strong technical documentation skills: preparation of electrical design reports, specifications, single‑line diagrams, schedules and tender documentation., • Excellent stakeholder and communication skills, with the ability to lead client meetings, co‑ordinate multidisciplinary teams and mentor junior engineers and apprentices. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact Jessicamartin@hoarelea.com. If shortlisted, one of our recruitment team will be in touch to arrange an 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. We aim to provide feedback at each stage of the process. 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, _ 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. #LI-HYBRID

Applied Research Engineer | Early Stage Deep Tech Start Up | London I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence for private equity, venture capital, and private credit teams. They are hiring a Founding Applied Research Engineer to join at early stage, with real ownership of the depth of knowledge and retrieval infrastructure. This role suits someone with a strong academic background from a leading university, alongside clear evidence of success in high ownership projects. Experience with knowledge graphs and information retrieval is essential: Responsibilities • Design knowledge graphs, • Build advanced information retrieval systems, • Create robust information extraction pipelines, • Translate research into production infrastructure On offer • The opportunity to build a deep tech AI model and conduct original, applied research, • Founding engineer responsibility with high visibility and influence, • Hybrid working model in London, • Salary up to £70k plus substantial equity, • Genuine ownership over what is built from day one If you meet the above criteria and want to help build foundational AI technology within a small, ambitious team, please get in touch.

Software Engineer – Java / Python London (On-site) This is a hands-on software engineering role within a systematic hedge fund where technology sits at the core of the business. The systems you build directly support trading, research, and core operations, and your work will have real, measurable impact. You’ll join a well-established engineering team and work across a range of internal systems, primarily in Java, with exposure to Python and quantitative tooling. The role offers end-to-end ownership: taking requirements from idea through to production, working closely with engineers and business stakeholders to solve practical problems. The environment is fast-paced and collaborative, with a strong emphasis on clean engineering, learning by doing, and continuous improvement. No prior financial markets experience is require, training is provided. What you’ll do: • Build and maintain production systems used across the firm, • Develop features in Java, with opportunities to work in Python and MATLAB, • Take ownership of work from concept through deployment, • Collaborate with engineers and non-technical stakeholders to solve business problems, • Learn how systematic trading strategies and financial markets operate in practice, • Contribute to modern engineering practices including CI/CD, testing, and monitoring What we’re looking for: • 3–5 years of professional software engineering experience, • Strong Java development experience; Python experience or willingness to learn, • Ability to communicate clearly and work effectively in a team environment, • Background in banking front office technology or a high-calibre tech company is a plus, • Computer Science education preferred but not essential Nice to have: • Experience with Python or MATLAB, • Exposure to AWS, Docker, or Kubernetes, • Interest in financial markets and systematic trading, • Curiosity about new technologies and best practices

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

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

• Full-time, Central London (Soho)., • Company ethos founded on the principle of good work, with good people, for good reasons., • Opportunity for fast paced growth and progression., • Opportunities to work on a range of exciting museum and gallery projects., • BCorp accredited company. Role description Steensen Varming are looking for a Project or Senior Mechanical Building Services Engineer to join our London based team. This role provides the best of both worlds through working in a global company within a local studio-based supportive, established team. We understand that people are at the core everything we do and key to our continued success. That means we prioritise the growth and progression of our team through providing bespoke training and personal progression plans. Working at Steensen Varming, you will have exposure to all parts of the project lifecycle from day one, be it reviewing survey information, undertaking design calculations, producing design documentation, collaborating with the wider project team, or undertaking site visits. We believe that this exposure to different parts of the project lifecycle alongside having the opportunity to complete different tasks across different projects helps to significantly aid the pace of progression. That means you can expect to be working on the design and implementation of different mechanical systems across a range of different projects, some at the early design stages and some already under construction. In addition to providing the opportunity to work on exciting and challenging projects, we’re keen to foster a fun and collaborative team environment across our global team and within the London studio, so we make sure to find time for socialising. That might mean playing pool, listening to records or holding an impromptu band practice in the office, or making the most of the what the local area has to offer be it playing table tennis in the park, trips to the local food market, or sampling some of the local night life at the end of the day. If you are keen to hit the ground running and to quickly develop a solid foundation across all elements of mechanical design through working as part of a close-knit team, this could be the role for you! Candidate Requirements Applications are invited from creative, proactive people, with experience in the following: • A Degree in Mechanical, Building Services Engineering, or a closely related subject., • An interest in Building Services Engineering and a passion to make a difference in the industry., • An interest in sustainability practices and desire to foster real client relationships. About Steensen Varming Originally founded in Denmark in 1933 and today operating in Europe, Asia, Australia and USA, Steensen Varming operates along the principles of an integrated design studio working within a specialist field to provide the best service to our clients. Steensen Varming works on a variety of exciting projects from the British Museum to Sydney Opera House to Scott Base Antarctic Research Station, encompassing architectural and urban design, the private, corporate and public sectors, from modest upgrades to World Heritage Sites With well-established ethical principles, we go beyond standard corporate responsibilities and through initiatives, such as UN Sustainable Development Goals and B Corp, we continue to be at the forefront of creating positive environments, in our work and studio environment. Equal Opportunity Employer • Steensen Varming is an equal opportunity employer. Steensen Varming is committed to being a successful, caring and welcoming place for all employees. We are committed to a culture where respect and understanding is fostered, and the diversity of people's backgrounds and circumstances are positively valued. Benefits • Salary dependant on experience., • Holiday entitlement of 25 days per annum, plus one extra half day leave per year of service (up to a maximum of 27.5 days). Steensen Varming provide a number of initiatives to support wellbeing; • Offering flexible working., • Offering 38 hour week, with core working hours between 9.30am-4pm., • Provision of a wellbeing allowance., • Employee Assistance Programme., • 50% claim back on professional memberships., • Salary sacrifice and purchased leave options., • Ability to work from overseas studio locations., • We are a supportive, people-focused organisation that values connection and collaboration., • Free and discounted entry to over 900 museums and galleries.

Paragon Alpha working with a multi-strategy hedge fund who are looking for a Data Scientist to join a equity trading team. The team lead is looking to bring on a talented engineer to help build the research/data infrastructure for the desk, and aid data driven quant trading. The role would focus on building forecast/quant models, time-series data analysis, and aiding researchers in identifying alpha in complex data-sets. The firm prides itself on tech and research driven trading, and employ people from Google/Meta backgrounds into quant roles, championing a meritocratic culture. Stack: Python, AWS, SQL The company offers the chance to work at the forefront of quant trading, with market leading packages; coupled with 1 days a week remote and a modern work culture. Apply if this sounds like you!

Senior Research Engineer – Deep Learning & Time Series About the Role My client are a forward-thinking financial organisation looking for a Senior Research Engineer to own the machine learning strategy end to end. This is a rare opportunity to shape the AI direction from the ground up, from research through to production with direct visibility at the leadership level. What You'll Do • Define and lead the deep learning research agenda, with a focus on time series modelling in financial markets, • Take models from research hypothesis all the way to production-grade, monitored systems, • Evaluate and apply cutting-edge academic research to real-world financial problems, • Work closely with quant researchers, engineers, and senior stakeholders to embed ML into core decision-making, • Help build and mentor a growing research team Requirements • Published research in peer-reviewed venues such as IEEE, ICML, NeurIPS, ICLR, or equivalent, • Deep expertise in time series modelling - financial data experience strongly preferred, • Proven end-to-end ML experience: data pipelines, model development, deployment, and monitoring, • Strong Python and ML engineering skills (PyTorch or JAX), • PhD in ML, Statistics, Computer Science, or related field (or equivalent research output), • Ability to communicate complex ideas clearly to both technical and non-technical audiences Nice to Have • Experience in asset management, hedge funds, or quantitative trading, • Contributions to open-source ML projects, • Prior tech lead or mentorship experience What's on Offer • Full ownership of ML strategy from day one, • Dedicated time and support for continued research and publishing, • Competitive base, performance bonus, and equity, • Hybrid working, flexible culture, and access to institutional-grade data and compute

About Canbury Canbury is a technology-enabled sustainability firm applying AI tools to deliver research, data, and analysis thoroughly, effectively and cost-efficiently. We work with leading institutional investors, companies and NGOs on specialised sustainability topics, including climate change, nature, social inequality, systems change, and policy change. We combine deep sustainability and financial expertise with our in-house technology team to develop bespoke software solutions for clients across the sustainability space. We are at the forefront of deploying AI into sustainability data, using technology where it is best applied to reduce manual time and cost on large-scale text and data analysis. You can find more on our service lines and examples of our work at canbury.io. About the role We are expanding our technology team to meet growing client demand. As a Full-Stack Engineer, you will work across our internal platform, which powers Canbury’s research and analytics, and bespoke software for clients across the sustainability space. Our stack is Python (FastAPI), React/TypeScript, PostgreSQL, and Azure (Container Apps, Blob Storage, Postgres Flexible Server, and related services). You will work across all of it. We are particularly keen to hear from engineers with strong infrastructure and DevOps instincts who want to push us to run things properly in production. Why this role is interesting • Real autonomy. We are a small team. You will scope, build, deploy, and own systems end-to-end., • AI in production. We run LLM pipelines processing thousands of company disclosures for institutional investors. Cost, latency, and reliability are real constraints., • Technical breadth. Infrastructure, full-stack product work, and AI/data engineering all sit within the role., • Work that matters. Our clients steward trillions in assets. The tools you build shape how they assess companies on sustainability. What you'll do • Build and own infrastructure on Azure. Design and maintain CI/CD pipelines, container deployments, networking, secrets management, monitoring, and cost controls., • Develop full-stack features end-to-end. From Postgres schema design through FastAPI endpoints to React interfaces, for client deliverables., • Build Python-based data and AI pipelines. Develop analytics and ETL pipelines, automate data collection and cleansing, and extract insights via LLM APIs (Anthropic, OpenAI, Gemini). Optimise for cost and quality through caching, batching, token management, and prompt and post-processing design., • Contribute to technical decision-making as the team grows: architecture, tooling, code quality, and engineering practices. As a small team, everyone wears multiple hats and the role will evolve with the business and with technological developments. What we're looking for • At least 2 years of professional software engineering experience, preferably in roles where you have shipped and operated production systems, not just built prototypes., • Strong infrastructure and DevOps skills: hands-on experience with Azure (or comparable cloud, AWS or GCP), containerisation (Docker), CI/CD, and infrastructure-as-code., • Solid full-stack experience with Python backends (FastAPI or similar), React/TypeScript frontends, and relational databases (PostgreSQL preferred)., • A track record of building and shipping. Personal projects, open-source contributions, or production systems you can talk about in detail., • Comfort working with LLM APIs and an understanding of the practical considerations around cost, latency, and reliability when AI is in the loop., • Pragmatism and ownership. We need people who can scope, build, deploy, and maintain, not just write code and hand it off. Practicalities • Location: London. Hybrid. We have an office in Farringdon., • Type: Full-time, permanent., • Salary: £40k-60k+ depending on experience., • Right to work: You must have the right to work in the UK. We are unable to sponsor visas at this stage.

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

Joining Arup Arup is an independent firm, owned in trust by our employees. Arup’s purpose, shared values and collaborative approach have set us apart for 80 years, guiding how we shape a better world. This may be as a direct output of the project or where we can influence our client’s direction in a beneficial way. Arup’s Science, Industry, Healthcare and Data Centre Team is a global network of Architects, Engineers and Specialist Consultants working with the largest and most innovative businesses across each sector. Our clients include developers; retail and wholesale colocation providers and the major hyperscale cloud services providers, pharmaceutical companies, universities and research institutions. Our London team delivers SIT projects globally including HV substation design, placing innovation, sustainability, decarbonisation and excellence at the heart of our designs. At Arup, you will belong to an extraordinary collective – in which we encourage individuality to thrive. Our strength comes from how we respect, share and connect our diverse experiences, perspectives and ideas. The Opportunity As part of this exciting opportunity, we are seeking an experienced Chartered Electrical Engineer who will join the leadership of our team as an Associate. You will be guiding and coordinating the design of various projects, from inception through to construction, providing technical guidance and design management. This will include collaborating with colleagues from all over Arup in the delivery of multi-disciplinary designs. With experience in MEP design, you will have the self-assurance to lead your engineering discipline, as well as the ability to take a leading role on projects coordinating the overall Arup project team. Mentoring and development of junior colleagues as part of the electrical discipline leadership will form a core responsibility. You will contribute to recruitment, appraisals and the performance, development, morale, and motivation of members within the team. You will have the opportunity to act as Project Manager, responsible for the resourcing, commercial delivery and success of the project. Contribute to winning work by taking a role in the preparation and presentation of bids, and liaising directly with clients. You will have the opportunity do socially useful work that has meaning – to Arup, to your career, to our members and to the clients and communities we serve. Is this role right for you? We’re looking for a candidate who can demonstrate: • You are an enthusiastic engineer who enjoys working collaboratively in multi-professional design teams and taking responsibility for projects from inception to completion to achieve outstanding results across some or all the following sectors: Science, Industry, Healthcare and Data Centres., • You are a Chartered Engineer with experience in the field of Electrical Engineering and have a broad range experience in systems and installations, ideally including HV substation design, • Actively support the performance, work and development of others, providing guidance, training, and motivational and directional feedback., • You should have commercial awareness, client-facing skills and be able to represent Arup externally. Not ready to apply just yet or have some questions? Contact Aslam Hussein at Aslam.Hussain@arup.com - Please note, to ensure we remain GDPR compliant do not send your CV directly to us via this email. What We Offer you At Arup, we care about each member’s success, so we can grow together. Guided by our values, we provide an attractive total reward package that recognises the contribution of each of our members to our shared success. As well as competitive, fair and equitable pay, we offer a career in which all of our members can belong, grow and thrive through benefits that support health and wellbeing, a wide range of learning opportunities and many possibilities to have an impact through the work they do. We are owned in trust on behalf of our members, giving us the freedom, with personal responsibility, to set our own direction and choose work that aligns with our purpose and adds to Arup’s legacy. Our members collaborate on ambitious projects to deliver remarkable outcomes for our clients and communities. Profit Share is a key part of our reward, enabling members to share in the results of our collective efforts. We also provide Private medical insurance, Life assurance, Accident insurance and Income protection cover. In addition, you’ll have access to flexible benefits to help you look after all aspects of your wellbeing and give you the freedom and flexibility to find the best solutions for you, your family, and your individual needs. Different People, Shared Values Arup is an equal opportunity employer that actively promotes and nurtures a diverse and inclusive workforce. We welcome applications from individuals of all backgrounds, regardless of age (within legal limits), gender identity or expression, marital status, disability, neurotype or mental health, race or ethnicity, faith or belief, sexual orientation, socioeconomic background, and whether you’re pregnant or on family leave. We are an open environment that embraces diverse experiences, perspectives, and ideas – this drives our excellence. Guided by our values and alignment with the UN Sustainable Development Goals, we create and contribute to equitable spaces and systems, while cultivating a sense of belonging for all. Our internal employee networks support our inclusive culture: from race, ethnicity and cross-cultural working to gender equity and LGBTQ+ and disability inclusion – we aim to create a space for you to express yourself and make a positive difference. Discover more about life at Arup at www.arup.com/careers/your-life-at-arup. We are committed to making our recruitment process and workplaces accessible to all candidates. Please contact Aslam Hussein at Aslam.Hussain@arup.com to let us know if you need any assistance or reasonable adjustments throughout your application or interview process, and/or to perform the essential functions of the role. We will do everything we can to support you. Our Application Process To understand what to expect next, please visit https://www.arup.com/careers/recruitment-process/ Stay safe online – Arup will never ask for your bank details as part of our recruitment process. Recruitment Agencies - We have a Preferred Supplier List of trusted partners to assist us when required and do not acknowledge any speculative CVs or unsolicited candidate introductions from agencies not on the list. Closing Date – 13th of May 2026 - Please note we may close the role earlier than the advertised date should we receive many applications, so please ensure you apply early. #LI-DNI

The Company: Join a fast-growing, VC-backed startup on a mission to modernise workflows for the global consulting industry. Backed by leading founders and investors, this organisation is dedicated to building next-generation AI tools that empower consultants by automating manual, repetitive tasks and enabling more meaningful work. What you'll do: As a Founding Product Engineer, you’ll help shape the foundation of groundbreaking AI products for consulting professionals. You’ll take ownership of key systems, moving beyond basic chat-bot experiences to create powerful, enterprise-ready workflows and user interfaces. Your responsibilities will include: • Designing and delivering multi-step AI-driven workflows and user experiences., • Owning end-to-end product features across the full technology stack., • Turning complex consulting challenges into scalable product solutions., • Collaborating closely with both technical and non-technical stakeholders, including client advisors and industry veterans., • Driving the product vision and making impactful product decisions in a fast-paced, high-trust environment. Key Skills: • Experience as a Product or Full-Stack Engineer with the ability to quickly turn problem statements into working prototypes., • Background in the consulting industry, either as a consultant or by supporting consulting teams in a technical capacity., • Strong technical proficiency in NextJS, TypeScript, and LLM frameworks (e.g., Pydantic, LangGraph)., • Comfortable working with Python and familiar with modern cloud infrastructure (AWS, Terraform, PostgreSQL, Modal)., • Ability to create intuitive, polished user interfaces using React and Tailwind CSS., • Value fast iteration and a hands-on, collaborative approach., • Excellent problem-solving and communication skills. Benefits: • Above-market compensation and significant founding-level equity – truly own your impact and future., • Work alongside a talented peer group from top consulting firms and AI research backgrounds., • High trust environment with minimal bureaucracy—focus on building, not meetings., • Opportunity to shape the product direction and culture from day one., • Be part of a well-funded early-stage company with a strong industry network and expert backing. If you are interested please apply or reach out to Adam Treacy @ twentyAI - adam.treacy@twentyai.com

This is a full-time remote role for a Microbiological Safety Cabinet and LEV Technician to join our Clean Air Team. The Technician will be responsible for conducting testing and inspection at client sites, troubleshooting, and repairing systems as necessary, and preparing accurate reports and documentation of system performance. Client sites are in the higher education, medical research and healthcare sectors - predominantly around London and the Southeast. Essential Duties and Responsibilities: • Perform scheduled service, preventative maintenance, and verification on various makes/models of Microbiological Safety cabinets (MSC’S) and other associated laboratory equipment., • Perform thorough examination and test of LEV (Local Exhausted Ventilation Systems)., • Capture and retain technical knowledge from an experienced Field Service Engineer to ensure continuity of expertise., • Manage service visits across the UK but mainly within the London and Southeast area, including regular travel and some short-notice requirements., • Produce accurate service reports and relevant documentation following all site visits and activities., • Complete accurate expense accounting related to travel and service visits., • Use service-related software tools, manage instrument files, and support customers in resolving issues where relevant., • Identify and escalate potential business opportunities discovered during customer visits. Education/Experience: • Combination of Technical Qualification and 3 years’ experience in a field service role required, • Preferred experience with Microbiological Safety Cabinets (MSC’s) and associated laboratory equipment., • Experience with LEV systems (Local Exhausted Ventilated Systems) with P601 certification highly advantageous. Hybrid role including: • Customer laboratory settings – Pharmaceutical, • Customer laboratory settings – Chemical e.g. factory / refinery, • In-house laboratory – Light industrial / chemical, • In-house training center – Light lab / warehouse / office Physical Demands: • Some long-distance driving, • Physical work including: Lifting light equipment and manual handling, Instrument / machine disassembly, leaning over, behind and under or on top of lab benches for access, Occasional working at height, including roof work of buildings., • Occasional overnight stays away from home

Barrington James’s specialist Software & Electronics Division is currently searching for a Software Engineer on a full time permanent basis in West London, England. (This opportunity is hybrid with 3 days a week on site required) To be considered for this position: Essential: Hardware Integration, Python (NumPy, SciPy, Pandas, Matplotlib, Sklearn, PyTorch), Desirable: GUI (Tkinter, PySide), C++, Life Science experience (Optics, Lenses etc.) Responsibilities/Requirements • Develop and maintain Python-based software for scientific data processing, modelling, and analysis., • Design and build user-friendly interfaces and tools to support research and operational workflows., • Integrate software with laboratory hardware and instrumentation for data acquisition and control., • Collaborate with engineers and scientists to deliver R&D projects, troubleshoot issues, and support users., • Follow best practices in software development, including testing, version control, and documentation. If this role is of interest, please apply or email jklare@barringtonjames.com for more information.

🚀 GPU Infrastructure / Performance Engineer 📍 London (Onsite) | 🌍 Visa Sponsorship + Relocation Join a frontier AI company backed by NVIDIA, building large-scale open-weight foundation models alongside researchers and engineers from DeepMind, OpenAI, Meta, Anthropic, and Google Brain. ⚡ What You’ll Do • Optimise GPU performance and training efficiency across 1,000+ GPU clusters, • Improve utilisation, throughput, and reliability across distributed training infrastructure, • Build tooling for orchestration, monitoring, scheduling, and observability, • Work closely with research teams to accelerate large-scale model training 🔧 What They’re Looking For • Deep GPU infrastructure / distributed systems experience, • Strong knowledge of CUDA, NCCL, PyTorch, DeepSpeed, JAX, Megatron-LM, vLLM, etc., • Experience operating large-scale GPU clusters (1,000+ GPUs), • Kubernetes, Slurm, or similar orchestration expertise BONUS: Experience working on NVIDIA Blackwell chips (B200, B300, GB200, GB300) 💰 Package • Salary open to candidate expectations, • Meaningful startup equity, • Full visa sponsorship + relocation support

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

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

We are a frontier biology AI lab working at the intersection of AI, experimental biology, and clinical research. We generate our own data in-house, build general-purpose biological foundation models, and translate discoveries into real research and clinical impact through studies we run ourselves. Our focus is understanding the brain, protecting it from neurological disease, and ultimately enhancing it in health. We’re hiring a Senior Software Engineer to help build the backend and cloud systems that bring these models into real-world use. Salary: £75,000 to £85,000 The role is roughly: • 70% backend engineering, • 25% cloud and infrastructure, • 5% frontend You will work on systems that support large-scale biological datasets, experiment and model lineage tracking, and reproducible research workflows, while ensuring strong performance, reliability, and observability in production. Key areas include: • Designing and building APIs for datasets, experiments, and workflows, • Owning data models, schemas, and system boundaries, • Building tenant-aware access control and permissions, • Optimising performance and data integrity in PostgreSQL systems, • Deploying and operating services in AWS or GCP, • Working with Kubernetes, Docker, and Terraform, • Building monitoring, logging, and debugging infrastructure, • Occasionally contributing to React or Next.js frontends This is a role for engineers who enjoy working across backend systems, cloud infrastructure, and real product surfaces, especially in complex, data-heavy environments.

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 louiescottodiperta@hoarelea.com . 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.

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 louiescottodiperta@hoarelea.com . 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.

A leading multi-strategy hedge fund is looking to hire a Credit Strat Developer to join a high-performing team supporting credit-focused PMs across London and APAC. This is a front-office aligned role, working closely with a profitable desk to build and enhance tools across the full trading lifecycle — from research and analytics through to P&L, risk, and execution support. What you’ll be doing • Develop and maintain Python-based tools and libraries for credit trading desks, • Build risk, P&L, and attribution frameworks used directly by PMs, • Create research toolkits, analytics dashboards, and automation utilities, • Work closely with traders and quants to translate ideas into robust production systems, • Contribute to data pipelines, time-series analysis, and monitoring tools Requirements • 3–7 years’ experience as a Quant Developer / Strat / Python Engineer in a front-office environment, • Strong Python skills (Pandas, NumPy, SQL), • Solid understanding of credit products (e.g. CDS, corporate/government bonds), • Experience with risk, P&L, or attribution tooling, • Background in a buy-side firm preferred (sell-side credit desk also considered), • Strong engineering fundamentals with experience delivering production-grade code Nice to have • Experience with KDB, Kafka, Databricks, or similar data technologies, • Familiarity with market data, pricing, and credit analytics, • Exposure to dashboarding tools (e.g. Dash, Grafana), • Understanding of derivatives and market conventions Why apply? • Direct exposure to PMs and trading decisions, • Opportunity to take ownership of key systems in a lean team, • Strong compensation and growth potential, • Collaborative, high-performance environment within a well-established hedge fund

You'll be the first employee for the UK subsidiary of a leading sodium-ion battery company headquartered in China, specialising in the research, development, and manufacturing of cathode materials, battery cells, packs, and systems. Key applications include light e-mobility, energy storage systems, industrial and UPS. Role Purpose As the company continues to scale globally, we are seeking a Battery Application Engineer to ensure our products meet customer requirements, integrate seamlessly into their systems, and deliver reliable performance in real-world applications. Key Responsibilities • Serve as the primary technical interface for clients and partners across the UK and Europe, providing both pre- and post-sales application support., • Lead the integration of sodium-ion batteries into customer systems, including scoping requirements, coordinating design, validation and testing with the engineering team in China, and resolving client issues through to product launch. Qualifications & Experience • Bachelor’s degree (or higher) in Electrical/Electronic Engineering, Chemical Engineering, Mechatronics, or related field., • Experience in battery application engineering, systems integration, or test/validation for battery systems., • Strong grasp of battery fundamentals (cell chemistries, pack architecture, thermal management, ageing mechanisms) and power electronics interfaces., • Hands-on with BMS configuration and diagnostics; familiarity with SOC/SOH algorithms and protection strategies., • Proficient with communication protocols and tools (CANalyzer/CANoe, Vector tools, serial/RS-485 analysers)., • Good communication skills. What We Offer • Opportunity to shape real-world applications of next-generation sodium-ion technology., • Fast-growing, cross-border environment with clear impact on product and strategy., • Competitive compensation, performance bonus, and professional development.

Company Overview Offering a complete ecosystem of maritime services, including broking, finance, port services, and research, Clarksons is at the heart of global shipping. Our unrivalled reach, expertise, and depth of experience, combined with leading research, enables us to partner with clients across every sector to meet the demands of the world’s rapidly evolving maritime, offshore, trade, and energy markets. Building on our unique heritage and harnessing our insights to see further, faster, we work with our clients and communities to create strategies that have a positive impact on industry and the world around us. Dedicated to excellence, it’s our people that drive success for our clients. To understand more, including day-to-day life at Clarksons, visit us at _. About the Role This isn’t just a traditional DBA role. It’s a chance to build on strong SQL Server experience and grow into a broader data platform engineering role. You’ll still work closely with databases day to day, but you’ll also get involved in automation, cloud platform work, and data pipelines, helping shape how the organisation modernises its data platform over time. It’s a good fit for someone who wants to move beyond “keeping the lights on” and into building and improving systems at scale. There’s a clear path here to grow into more data and platform engineering ownership, not just database administration. We’re looking for an experienced SQL Server and Data Platform Engineer with strong SQL Server experience to join a high-performing team managing a hybrid data platform including SQL Server (2017–2025), Azure SQL, Cosmos DB, Azure Data Factory, and Power BI. What You’ll Do • Manage and support SQL Server environments (including Always On, upgrades, performance tuning, HA/DR), • Improve how data moves through the platform using Azure Data Factory and related tools, • Build automation and CI/CD for database and platform changes using PowerShell, Terraform, and Azure DevOps, • Improve monitoring, reliability, and operational efficiency across the data platform, • Support cloud adoption and modernisation of data infrastructure, • Work closely with engineers and analysts to make data more reliable and easier to use What We’re Looking For • Strong SQL Server experience in production environments, • Good understanding of performance tuning, indexing, and high availability, • Experience with upgrades, backups, and disaster recovery, • Some exposure to Azure SQL or cloud data platforms, • Interest in automation, scripting, or CI/CD practices, • Curiosity about data engineering and platform engineering (growth mindset is important here) Benefits • Life Assurance – Providing peace of mind and financial support for your loved ones., • Pension Scheme – A contributory pension plan to help you plan for the future., • Annual Leave – Generous holiday allowance, with the opportunity to purchase additional days., • Hybrid Working – Flexible arrangements: 3 days in the office and 2 days working from home., • Training & Development – Access to ongoing professional development, certifications, and learning resources., • Employee Assistance Programme – Free, confidential support for personal and professional challenges., • Modern Office Environment – Located in central London, close to public transport links., • Inclusive Culture – A collaborative workplace where innovation, learning, and growth are encouraged.

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, an electric vehicle salary sacrifice scheme, stock options, and 25 days of annual leave (increasing with service), alongside flexible and hybrid working. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. About the role We have an exciting opportunity for a Principal / Associate Electrical Engineer to join our Data Centre & Mission Critical (MCDC) team at Hoare Lea. Data centres are central to the modern economy and the technology that powers them is evolving rapidly. Our Mission Critical team helps clients navigate these changing requirements. At Hoare Lea you’ll gain a truly unique experience working across the full spectrum of the data‑centre sector — from early-stage site appraisal, masterplanning and feasibility studies through detailed design, live plant upgrades, test‑fits, commissioning and operational optimisation. This breadth means you’ll work on single-building and campus-scale schemes, hyperscale, colocation and enterprise/research clients, and be exposed to cutting‑edge topics such as AI‑ready cooling, high‑density power architectures and low‑carbon integration. You’ll work across complex live plant upgrades, grey and white space in facilities, electrical design, critical engineering, and due‑diligence reviews of existing facilities. Projects span mainly in the UK, but also across Ireland and Europe. You will join a collaborative, knowledgeable and highly engaged team with a positive, supportive and flexible culture. Working alongside the Project Leader, you will engage directly with clients, develop designs and produce reports, specifications and guidance, and support testing and commissioning activities to deliver consistent, high‑quality outcomes. In this key and varied role you will • Own day-to-day technical delivery of electrical design services for data centre and mission‑critical projects., • Lead development of initial strategic concepts that meet the brief and regulatory requirements., • Act as a client‑facing engineer: attend project meetings, interpret and communicate the brief, and maintain stakeholder relationships., • Coordinate multidisciplinary inputs (sustainability, acoustics, fire engineering, security, etc.) to deliver integrated building and campus solutions., • Prepare and review design deliverables, specifications and technical reports, and contribute to proposals, scope development and bid content., • Provide pragmatic technical input during early‑stage site appraisals, masterplanning and test‑fit studies., • Oversee testing, commissioning and handover activities to maintain resilience and uptime., • Support monitoring of fee expenditure, resource allocation and project delivery alongside the team leader., • Mentor and develop ‘next‑gen’ professionals, including apprentices and graduates. About you To be successful in this role you’ll need: • Proven experience as an Electrical Engineer (or closely related role) delivering Mission Critical and Data Centre projects., • Experience with modern technical delivery processes and software/tools such as Revit, BIM workflows, Electrical OM, Dialux and Relux., • Demonstrable client-facing consultancy experience working with clients, contractors and architects on design-led projects., • Strong technical judgement, self-awareness, a collaborative mindset and an open, generous approach to teamwork., • Experience mentoring and supporting others to develop knowledge, skills and confidence. Desired specialist experience: • Experience in mission critical and data centre engineering across new-build, live operational upgrades, technical due diligence, feasibility studies and test fits., • Exposure to large-scale, multi-megawatt data centre developments — from single 30–40MW buildings through to campus schemes in the 100–600MW range., • Understanding of hyperscale, colocation and enterprise/research data centre environments and differing client drivers around resilience, flexibility, speed to market and scalability., • Experience of early-stage site appraisal, masterplanning and test-fit studies, assessing site constraints, utility availability, incoming power, planning, topography, flood risk and plant strategy., • Knowledge of critical power and cooling infrastructure including HV/MV systems, substations, UPS, generators, PDUs, cooling plant and resilient distribution strategies., • Experience designing for resilience and uptime, including single points-of-failure reviews, FMEA, concurrent maintainability and Tier-aligned design thinking., • Interest or practical experience in high-density and AI-ready infrastructure (liquid cooling, direct-to-chip, immersion cooling, hybrid air/water solutions)., • Capability delivering works in live operational environments — plant replacement, refurbishment and phased upgrades while maintaining critical services and uptime., • Experience of complex campus-scale developments and coordinating multidisciplinary inputs (planning, utilities, sustainability, acoustics, air quality, fire engineering, security, infrastructure)., • Appreciation of energy efficiency and sustainability in mission-critical design — PUE reduction, low-carbon strategies, renewables integration, heat reuse, water efficiency and BREEAM / net-zero objectives., • Experience working across the UK; interest or experience in international markets (particularly mainland Europe and the Nordics) is desirable. If this sounds like you and you want to help shape resilient, future-ready data centre infrastructure, we’d love to hear from you. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact jessicamartin@hoarelea.com. If shortlisted, one of our recruitment team will be in touch to arrange an 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. We aim to provide feedback at each stage of the process. 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, _ 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. #LI-HYBRID .

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

We are working with a range of ambitious AI startups looking to hire exceptional AI researchers and engineers for application and research-focused roles. These opportunities span cutting-edge work across computer vision, audio, speech, NLP, multimodal AI, robotics, foundation models, and applied machine learning. Roles are available across early-stage and scaling startups, with teams building real-world AI products as well as advancing core model research. We are looking for candidates with: • A PhD in AI, machine learning, robotics, computer science, or a related technical field, • Research or engineering experience in vision, audio, language, robotics, multimodal systems, or deep learning, • Strong publication record, applied ML experience, or hands-on model-building expertise, • Interest in joining high-growth startup environments, • Ability to move between research, experimentation, and production impact Typical roles include: • AI Research Scientist, • Machine Learning Engineer, • Applied AI Engineer, • Computer Vision Researcher, • Speech / Audio AI Researcher, • NLP / LLM Researcher, • Robotics Researcher / Engineer, • Multimodal AI Scientist If you are an AI PhD looking to explore opportunities with innovative startups, or you know someone who might be a fit, I’d be happy to connect. Apply or reach out directly to learn more.

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.

Senior Market Data Engineer Our client is a global quantitative and systematic investment firm operating across all liquid asset classes worldwide. The organisation is highly technology- and data-driven, applying a scientific approach to investing. By combining data, research, technology, and trading expertise, the firm fosters a collaborative environment focused on solving complex technical and quantitative challenges and delivering consistent, high-quality returns. The role You will work closely with researchers and quantitative developers to unlock insights from high-frequency market data and help power large-scale research and trading workflows. Key responsibilities include: • Partnering with research and quant teams to deliver insights from tick-by-tick market data, • Serving high-quality data to large-scale backtesting and research platforms, • Building and maintaining tick data pipelines in Python to enable fast, reliable access across asset classes, • Designing, implementing, and monitoring robust data quality frameworks across all pipelines Your skillset: • Strong knowledge of multiple financial asset classes, • Deep understanding of Level 2 and Level 3 tick-by-tick data, • Solid understanding of market structure (e.g., NBBO rules, secondary markets, dark pools), • Familiarity with exchange protocols is a strong plus, • Strong Python skills with experience using data libraries; C++ is a plus

The Role: AI Engineer We are looking for top tier engineers to support us in building AI products. You will lead the development of algorithms that push the limirs of what is possible with LLMs. What You’ll Own • Production-Ready AI: Develop and deploy proprietary algorithms that significantly increase the quality of generated patents., • SOTA Evaluation Pipelines: Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&D., • Advanced Prompt Engineering: Research and implement cutting-edge prompting methods to maximize model efficacy., • Full-Stack Impact: While focused on AI, you’ll work across the stack (Python, Postgres, React) to ensure our research translates into a seamless user experience. We are the fastest-growing startup transforming the legal landscape. Our AI platform manages everything from invention harvesting to patent generation. • Growth: 20-30% MoM revenue growth; selling to 300+ global IP teams (DLA Piper, tech giants, and boutiques)., • Impact: Users report 50-90% efficiency improvements., • Backing: Recently featured in_ following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. Must-Haves • Expert Python Skills: Deep experience building and shipping AI solutions., • Production Experience: A history of shipping algorithms and/or evaluation pipelines into live environments., • LLM Mastery: Practical experience with prompt engineering and modern LLM architectures., • Technical Versatility: Familiarity with the full stack (Postgres, TypeScript, React)., • Clear Communication: Ability to articulate complex technical decisions clearly.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for the Senior ML Engineer (VLA & Navigation) to join our team based in London, UK. What You'll Do • Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning., • Work on open-ended navigation powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments., • Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction., • Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness., • Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems., • Stay ahead of the field — rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For • Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures)., • Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data., • Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems., • Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot integration., • Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer • Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays., • Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support., • Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings., • Free daily breakfast, catered lunch, and snacks in‑office., • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics., • Freedom to influence the product and own key initiatives.

London | Visa Sponsorship & Relocation Support Available Compensation: globally competitive Days on site: 3 days ideally but open to flexibility We’re partnered exclusively with one of Europe’s most ambitious AI research organisations working at the intersection of large-scale foundation models and biological intelligence. The team is building frontier-scale generative models trained on one of the world’s largest proprietary biological datasets, with data scale expected to reach world leading token territory over the next 18 months. This is not a traditional biotech company and it is not a standard ML engineering role. The environment is a frontier AI lab. The organisation is running massive-scale training workloads across novel biological data modalities, solving optimisation and infrastructure problems at the edge of modern compute systems. The work sits directly alongside research, where the systems you build influence what experiments are possible and how quickly the team can move. The organisation has already attracted backing and partnerships from some of the most important names in frontier AI and compute infrastructure globally. The Role You’ll join a small, highly technical AI research group building the systems and infrastructure behind next-generation biological foundation models. This role spans distributed training, accelerator optimisation, experiment orchestration, large-scale data infrastructure and research tooling. You’ll work closely with researchers across machine learning and computational biology to improve training performance, increase experimentation velocity and help scale increasingly ambitious model development efforts. This is a role for someone who enjoys operating close to the limits of modern AI systems and wants to work on genuinely difficult engineering problems with direct research impact. Why This Role Is Interesting Most AI organisations are competing on increasingly similar public datasets. This team’s advantage is fundamentally different. They are building proprietary biological datasets at enormous scale and using them to train generative systems capable of designing entirely new biological functions. For engineers who want to work on frontier-scale training systems with real scientific impact, this is one of the rare opportunities currently available in Europe. What They’re Looking For Strong candidates will typically come from environments where large-scale model training and systems optimisation are core to the work. That could include frontier AI labs, foundation model teams, large-scale multimodal systems groups or high-performance distributed ML environments. Experience in biology is not required. The team is far more interested in engineers who understand how to make ambitious research systems work reliably at scale and who are excited by applying those skills to one of the most interesting data domains in AI. Areas of interest include: • PyTorch/JAX internals, • CUDA, XLA or Triton optimisation, • Distributed training systems, • GPU cluster performance tuning, • Large-scale experiment management, • Training reliability and reproducibility, • Kubernetes and orchestration tooling, • Infrastructure supporting frontier AI research Candidates with backgrounds in mathematics, physics, systems engineering or large-scale AI infrastructure are particularly relevant.

🐍 Python Engineer 📍 London (Hybrid) 💷 Up to £180,000 + Bonus + Full Benefits 🚀 The Opportunity Join a leading global hedge fund where technology sits at the core of trading strategy and performance. As a Python Engineer, you’ll work directly with Portfolio Managers, Quants, and Analysts to build high-performance tools and platforms that power real-time investment decisions and directly impact P&L. This is a hands-on, front-office role with immediate visibility and influence. 🔧 What You’ll Do • Design, build, and maintain Python-based trading and research infrastructure, • Develop bespoke analytics and visualisation tools in close partnership with investment teams, • Optimise data pipelines, automate complex workflows, and enhance system efficiency 🌟 Why This Role Stands Out 💼 Front-Office Exposure – Work side-by-side with PMs and Quants on live strategies ⚡ High Impact – Build systems that directly influence trading performance 🤝 Agile, Elite Team – Collaborative, low-ego, high-calibre environment 💰 Top-Tier Compensation – Strong base, performance-driven bonuses, and clear progression ✅ What You Bring 🎓 Degree in Computer Science, Engineering, Mathematics, or a related field 💻 Strong Python experience in high-performance or data-intensive environments 📊 Understanding of financial markets (equities, fixed income, or derivatives is a plus) 🧠 Excellent problem-solving skills with the ability to communicate across technical and non-technical teams If you’re a Python Developer looking to take on a front-office role with direct impact, we’d love to hear from you. Apply now or reach out directly: obloom@hunterbond.com