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.

An internationally respected consultancy is looking to appoint a skilled Fire Engineer to join their London fire safety team. The successful Fire Engineer will play a key role in delivering fire strategies for high-profile projects across sectors such as transport, heritage, education, and commercial development. This is a great opportunity for a Fire Engineer to take ownership of project work, contribute to fire modelling and design integration, and help shape fire safety strategies from concept through to delivery. The Fire Engineer role involves close collaboration with multidisciplinary teams and clients, offering technical variety and ongoing professional development. The consultancy behind the role has been a leader in fire engineering for over 50 years. Known for their innovative, research-led approach, they have contributed to award-winning and sustainability-driven projects including the UK's first mass timber industrial building and major cultural renovations. The Fire Engineer's Role • Develop and deliver project-specific fire strategies, • Apply UK fire safety legislation and guidance across various sectors, • Collaborate with architects, engineers, and external stakeholders, • Support the use of fire modelling and risk assessment tools, • Degree in Fire Engineering, Building Services, or a related subject, • Project management experience within a fire consultancy, • Strong understanding of UK building regulations and fire safety codes, • Excellent written and verbal communication skills, • Salary £45,000 - £58,000, • Hybrid and flexible working options, • Private medical insurance and income protection, • Profit share scheme and discretionary bonus, • Structured support towards chartership, • Generous annual leave and wellbeing benefits Reference #SM1019 Fire Engineer / Fire Engineering / Fire Strategy / ADB / BS 9999 / BS 9991 / IFE / Chartership / CEng / MIFireE / FIFireE / MIFSM / FIFSM / Fire Strategy Design / CFD Modelling / Building Safety Act / Fire Safety Compliance / Fire Safety Consultancy / Fire Risk Management

Senior Mapping Engineer - SLAM / Lidar - London Senior role shaping the future of a next-generation autonomy platform High-accuracy, large-scale LiDAR and vision-based mapping Strong emphasis on ROS2, C++ and multi-sensor fusion Hybrid working in London About the client We are partnering with an established and growing technology organisation developing a next-generation autonomy product with an existing customer base. As the platform scales for wider deployment, significant investment is being made into mapping and autonomy capabilities, creating an opportunity to play a pivotal role in its evolution. The benefits Competitive salary and benefits package Performance-based incentives Hybrid and flexible working arrangements Central London location (Paddington) Direct influence over architecture and technical direction Collaborative, engineering-led culture with real ownership* Opportunity to work on complex, real-world autonomy challenges The Senior Mapping Engineer role This is a senior, hands-on engineering role where you will take ownership of the mapping capability within a wider autonomy stack. You will work across the full lifecycle - from architecture and algorithm design through to production deployment and long-term optimisation. You will collaborate closely with perception and localisation teams to ensure mapping outputs are accurate, robust and production-ready. The role offers meaningful influence over tooling, standards, scalability decisions and long-term product direction. Key responsibilities Design and evolve scalable LiDAR and vision-based mapping pipelines Develop and optimise 2D and 3D map representations, including occupancy grids, HD maps and semantic layers Lead multi-sensor fusion across LiDAR, cameras, radar, GNSS/INS and odometry Support multi-session, large-scale and distributed mapping workflows Implement map versioning, incremental updates and deployment strategies Define KPIs and validation frameworks to ensure accuracy and consistency Translate SLAM and large-scale reconstruction research into robust production systems Mentor engineers and contribute to technical best practice across the autonomy function Senior Mapping Engineer essential skills MSc or PhD in Robotics, Computer Vision, Computer Science or a related discipline 4-5+ years' commercial experience in mapping for robotics or autonomous systems Strong LiDAR and point cloud processing expertise (PCL, Open3D or custom C++ pipelines) Experience in vision-based mapping, including stereo or mono reconstruction and visual SLAM Proven background in multi-sensor fusion Experience building and deploying large-scale 3D maps in real-world environments Strong C++ development skills with solid ROS2 experience Strong understanding of kinematics, estimation, optimisation, geometry and transformation management (TF2) Desirable experience includes semantic mapping, distributed systems, DDS middleware and ML-driven scene understanding. This role would suit a senior engineer who enjoys solving complex spatial problems, influencing architectural direction and seeing their work deployed in live autonomy systems. To be considered Please either apply through this advert or email me directly via . For further information please call me on / . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. Key skills Robotics, SLAM, LiDAR, Computer Vision, ROS2, C++, Multi-Sensor Fusion, 3D Mapping, Autonomy, Software Engineering

Contract Machine Learning Engineer (LLM & GC) 6-Month Contract | Outside IR35 | £600 per day We are seeking an experienced Machine Learning Engineer to support the design and build, production ready ML models on Google Cloud Platform (GCP). This is a hands-on delivery role, focused on turning models into scalable, reliable, production systems that solve real business problems. The contract will run for at least 6-months, will be Outside IR35 at £600 per day, and we are looking to start the project at the beginning of March. This role suits a delivery-focused ML Engineer who enjoys taking models from concept through to production, rather than staying purely in research or experimentation. Key Responsibilities • Design, build, and productionise machine learning models using GCP-native services, • Translate business problems into deployable ML solutions, • Develop and maintain end-to-end ML pipelines (training, testing, deployment, monitoring), • Work with data scientists and engineers to operationalise models at scale, • Implement best practices for model performance, versioning, and lifecycle management, • Strong hands-on experience building and deploying ML models on Google Cloud Platform, • Experience with services such as Vertex AI, BigQuery, Cloud Storage, and Cloud Functions / Cloud Run, • Solid Python experience for ML and data engineering workloads, • Experience productionising models (not just experimentation or notebooks), • Understanding of MLOps concepts: CI/CD, monitoring, retraining, and model governance, • Experience with real-time or near-real-time ML use cases, • Exposure to data pipelines and orchestration tools Duration: 6 months Rate: £500 per day IR35: Outside IR35 Start: March 2026 To learn more about this opportunity, please send your CV to Method Resourcing for consideration. RSG Plc is acting as an Employment Business in relation to this vacancy.

Overview We’re looking for a mid-level Data Engineer to design, build, and deploy high-quality data solutions across Chambers’ products, platforms, and applications, ensuring they meet data engineering best practices and quality standards. In this role, you will champion engineering excellence and act as a subject matter expert for data-related projects, ensuring performance, scalability, and compliance with standards across the data engineering team. Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change. Applicants who identify as Disabled and/or Neurodiverse will be entitled to an interview if they meet the minimum criteria as specified in the Job Description, additionally we will offer reasonable adjustments to those who require them. Some examples of reasonable adjustments are extra time in assessments, video interviews to combat travel-based issues and advice on expected interview topics/questions. Main Duties and Responsibilities • Write clean and testable code using SQL and Python scripting languages, to enable our customer data products and business applications, • Build and manage data pipelines and notebooks, deploying code in a structured, trackable and safe manner, • Effectively create, optimise and maintain automated systems and processes across a given project(s) or technical domain, • Analyse, profile and plan work, aligned with project priorities, • Perform reviews of code, refactoring where necessary, • Deploy code in a structured, trackable and safe manner, • Document your data developments and operational procedures, • Ensure adherence to data/software delivery standards and effective delivery., • Help monitor, troubleshoot and resolve production data issues when they occur, • Contribute to the continuous improvement of the team, • Contribute to the team’s ability to make and deliver on their commitments, • Innovate and experiment with technology to deliver real business benefits., • Regularly launch products and services based on your work and be an integral part of making these a success., • Guide, influence and challenge the technology team and stakeholders to understand the benefits, pros and cons of various technical options., • Guide and mentor less experienced developers assigned on projects., • Promote an innovative thinking process and encourage it in others., • Working within the agile framework at Chambers Skills and Experience, • Strong proficiency in SQL, including Spark SQL and MS SQL Server, for querying, data manipulation, and performance optimization., • Hands-on experience with Python and PySpark for data processing, transformation, and automation tasks., • Proven ability to design, build, and maintain scalable data pipelines for batch and streaming data using modern frameworks., • Experience working with Databricks for big data processing, Spark-based transformations, and collaborative analytics workflows., • Familiarity with Azure Data Factory (ADF) for data orchestration and integration across cloud environments., • Skilled in version control using GitHub and implementing CI/CD pipelines in Azure DevOps for data engineering workflows., • Knowledge of data modeling and schema design to support efficient analytics and reporting., • Understanding of cloud-based data platforms (e.g., Azure, AWS, GCP) and integration with modern data pipelines., • Ability to monitor, troubleshoot, and optimize pipeline performance, ensuring data quality and reliability., • Experience collaborating with data scientists, analysts, and product teams to deliver robust data solutions., • Experience working with Terraform for infrastructure-as-code and automated deployment of cloud resources (desirable), • Understanding of metadata based ingestion frameworks and data contracts (desirable) Person Specification, • A passionate data engineer with a history of driving his or her own technical and professional development., • Able to clearly communicate with business and technology stakeholders., • Attention to detail, focused on the finer details that make the difference., • Delivery focussed, pragmatic and driven to get solutions live., • Able to lead, providing thought leadership in the data domain., • A proactive attitude. A self-starter who seeks out opportunities for yourself and your team., • Awareness of industry and consumer trends, • Awareness of and the ability to manage business and technology expectations., • Able to build strong personal relationships and trust., • Able to sell ideas or visions. Influence and advise stakeholders at all levels, • Worked in the media, publishing, research, or a similar consumer focused industry (desirable) Advert Closing Date 27 Mar 2026 Advert Salary Competitive

Principal Platform Engineer | High-Growth Cybersecurity Scale-Up | Fully Remote (UK based) An opportunity to join a fast-growing, research-led cybersecurity scale-up trusted by global enterprise customers. Backed by strong funding and industry recognition, the business is scaling its platform globally and is looking for an experienced Principal Platform Engineer to help lead that growth. As a Principal Platform Engineer, you’ll be a senior technical leader responsible for designing, scaling and optimising large-scale infrastructure. You’ll work closely with engineering leadership to ensure systems are resilient, observable and built for global scale. What you’ll be doing • Designing and evolving distributed, multi-region infrastructure, • Solving complex scaling, reliability and performance challenges, • Driving DevOps performance across deployment, availability and recovery, • Improving observability, fault tolerance and operational maturity, • Championing infrastructure-as-code, automation and secure-by-design practices, • Collaborating across engineering, product and security teams What they’re looking for • Significant experience building and operating distributed systems at scale, • Strong cloud background (AWS/Azure), Terraform and Kubernetes, • Experience with observability tooling (Prometheus, Grafana, EFK) and messaging systems (Kafka), • Solid understanding of networking fundamentals and global architecture, • Comfortable operating at Principal level and influencing technical direction

Palo Alto Engineer • Permanent full time role with large London business, • Salary circa £75,000 plus bonus and benefits, • Hybrid working (3 days in the office), • Palo Alto background is essential We’re looking for an experienced Engineer to help design, manage, and improve a large enterprise firewall environment. This role will fovcus on hands-on support and projects across on-prem and cloud platforms. Responsibilities will include: * Designing and deliver enterprise-scale firewall solutions * Lead security and network modernisation projects * Research and introduce new security technologies * Provide Tier 3 support for complex issues * Document designs and share knowledge * Mentor and support other engineers To be considered suitable you will need the following skills/experience: * Strong background with Palo Alto firewalls (Panorama, NGFW, Prisma Access) * Strong enterprise network experience * Palo Alto certification - PCNSE * Good understanding of network security

Staff Machine Learning Engineer Competitive salary up to £140,000- £210,000 + bonus London based (1 day in office per month) This is a global technology group with an R&D team that moves fast and thinks big. They're exploring how AI can raise the quality and performance of large-scale digital products, blending hands-on engineering with real research. If you enjoy trying new ideas, you'll fit in perfectly. THE COMPANY This is a global tech organisation with a dedicated R&D function exploring how AI can improve the quality, reliability, and performance of large-scale digital experiences. The team works on forward thinking projects that blend research, experimentation, and hands-on engineering. THE ROLE As a Staff ML Engineer, you'll take the lead on projects focused on anomaly detection in video based or interactive environments. You'll guide technical direction, support junior engineers, run experiments, and ship models into production. Specifically, you can expect to be involved in the following: • Building and improving ML models for anomaly detection, • Leading research work streams, • Scoping, planning, and communicating project direction with stakeholders, • Mentoring juniors, • Working across areas like self supervised learning, multi modal, or vision-language models You'll thrive in this role if you have: • Experience leading technical delivery or mentoring junior ML engineers, • Strong hands-on ML skills in Python and frameworks like PyTorch or TensorFlow, • A background in anomaly detection, computer vision, or video based ML, • Experience taking ML research or prototypes through to real world deployment, • Competitive salary, • 1 day per month in the office, • Sponsorship available

AI Engineer London, in-person 5 days per week. Competitive Salary between £160,000 and £180,000 base plus benefits. This is an opportunity to join a high-growth AI scale-up where you will build and deploy production-grade models that sit at the core of the product. You will work directly with an exceptional founding and engineering team, shipping advanced AI features into live customer workflows at pace. The Company They are a fast-growing technology business applying generative AI to complex, document-heavy workflows for global customers. The product is already used commercially and is central to how clients manage and automate specialist knowledge work. Backed by leading investors and with a strong balance sheet, they are now scaling their engineering and AI teams significantly. You will be part of a highly technical, in-office culture focused on shipping high-quality product quickly. The Role • Design, build and deploy production AI models that directly power core product features., • Work across the stack to take ideas from research and prototyping into robust, user-facing systems., • Implement, test and optimise model evaluation pipelines to improve quality and reliability., • Collaborate closely with engineers, product and research to design new AI features end to end., • Strong commercial experience as an AI-focused engineer or software engineer with deep AI exposure., • Excellent Python skills and a track record of writing production-quality code., • Experience building and deploying ML or LLM-driven systems into live environments., • Solid software engineering fundamentals across backend and, ideally, some frontend experience., • Familiarity with modern web and data technologies such as React, TypeScript, APIs, relational databases and cloud infrastructure., • Comfortable working in a fast-paced, in-person environment and collaborating closely with a highly technical team., • Base salary up to £185000, with potential flexibility for exceptional profiles., • Meaningful equity package, giving you real ownership in the business., • Standard pension and a high-quality in-office environment, including weekday meals., • Visa sponsorship available where required., • The chance to work directly with founders and senior engineers on complex, high-impact AI problems. If you are interested in this opportunity, please apply below or email me at

Senior Frontend Engineer | Series A AI Startup | $30M Funding | Enterprise AIOur client are building the next generation of enterprise AI - systems that learn continuously from real-world processes.They're a Series A company backed by $30M in funding and are growing their Product Engineering team to tackle one of the hardest problems in applied AI.The RoleAs a Frontend Product Engineer, you'll build their core platform, enabling an intuitive & user-friendly experience all end clients. Your work will directly shape how users interact with the core product & the value they get from the product. You'll be comfortable working on end-to-end projects, from design through to deployment, being heavily user-centric and understanding user requirements via ongoing engagement with key clients.You'll be an expert in React, having experience of greenfield builds & a track-record of creating intuitive solutions that solve real-world engineering problems,What We're Looking For • Exceptional React expertise, • Excellent understanding of UX and how it features in the end-to-end development of intuitive frontends (of which you will take full ownership), • A strong product-oriented mindset, • Hands-on work with human-in-the-loop feedback, evaluation frameworks, or continuous learning pipelines., • Comfort operating at the boundary between research and real-world impact., • Extremely competitive salary, • Meaningful equity, • Work alongside some of the best talent in applied AI

AI Research Engineer London (Hybrid - 2 days in office) Competitive salary between £60,000 - £70,000 + bonus and benefits This is a great opportunity for an AI Research Engineer who wants to work on applied AI. You will be joining a newly created AI function with investment and a clear mandate to transform how a specialist insurer operates using LLMs, agents, and automation across the claims journey. The Company They are a UK-based, digitally led specialist home insurer with a strong focus on complex and non-standard insurance. Technology, data, and AI are at the heart of how they operate, with a culture that feels closer to a tech company than a traditional insurer. Following recent investment, they are midway through a multi-year growth and transformation cycle where AI is a core strategic priority. You will be joining at a time when the AI team is growing, the roadmap is ambitious, and there is space to shape how things are done. The Role As an AI Research Engineer, you will sit within a small but rapidly scaling AI team, working alongside an AI Platform Engineer and reporting into the Head of AI. Your focus is on applied AI/ML research, fast experimentation, and turning ideas into working prototypes that can be adopted by the business. You will: • Rapidly prototype, test, and compare LLMs and embeddings for real product and claims use cases., • Build features and enhancements for AI-first internal products, including their internal AI agent used by operations teams., • Develop AI agents that support claims automation., • Design, build, and improve evaluation frameworks., • Run ongoing testing and monitoring. You will succeed in this role if you have: • Strong Python engineering skills for backend services and API integrations., • Hands-on experience working with LLMs and related tooling, including:, • LLMs RAG patterns, vector databases, function calling, and prompt design., • Solid experience with Google Cloud Platform, ideally including:, • Vertex AI, Model Garden, BigQuery, Cloud Run or Cloud Functions, • Ability to turn ideas and problem statements into working prototypes that can be demonstrated to non-technical stakeholders., • Competitive salary plus annual bonus and comprehensive benefits package., • Hybrid working, • The chance to join an AI function at an early stage, with direct access to the Head of AI and significant influence over tools, practices, and roadmap., • Real ownership of impactful projects, with a clear link between your work and business outcomes in claims and operations. Please register your interest by sending your CV to Madison Barlow via the Apply link on this page.

We're hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows. You'll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products. What You'll Be Doing • Design and optimise scalable RAG pipelines and vector search systems, • Orchestrate multi-model AI services with a focus on latency, resilience and performance, • Productionise GenAI workflows and ensure they operate reliably under real usage, • Build and run AI services across AWS and Databricks, • Develop ingestion, embedding and retrieval pipelines, • Deploy containerised workloads via Kubernetes and Helm, • Implement Infrastructure-as-Code using Terraform, • Introduce end-to-end monitoring, tracing and alerting for AI workloads, • Improve inference and retrieval performance while reducing operational cost, • Establish fault-tolerant, scalable infrastructure patterns, • Embed security, evaluation and governance into the AI lifecycle, • Build CI/CD pipelines and automation to support continuous model deployment, • Create reusable platform components to accelerate future AI initiatives Strong experience in: • Cloud infrastructure engineering (AWS-focused environments), • Kubernetes, containerisation, and distributed systems, • Terraform / Infrastructure-as-Code, • CI/CD, automation, and platform reliability, • Running production workloads with high availability requirements Plus, experience with one or more of the following: • MLOps or ML platform engineering, • RAG architectures, embeddings, or vector search, • Model serving, observability or performance optimisation, • Data / AI workflow orchestration in Databricks or similar ecosystems Why Join? • Work on real-world AI systems operating at scale, • Own platform design decisions and influence long-term architecture, • Blend modern DevOps practices with cutting-edge Generative AI use cases, • Be part of a growing, innovation-driven engineering environment, • Opportunity to define how AI is operationalised across multiple products If you're excited by building the infrastructure that makes AI usable, scalable and reliable in production, we'd love to hear from you. 49914MS INDLON Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.

Are you an Electronic Design Engineer looking to step up into a more senior, responsible and autonomous position within a cutting-edge R&D team? Do you have experience with hardware and embedded firmware - and want a varied and dynamic role within a well established and successful business? Based at our site in Watford, this role is the next step in your Electronic Design Engineering career. BASIC SALARY: Up to £70,000 BENEFITS:· 30 days holiday rising with service · Full access to company benefits package including pension · Flexible working within core hours LOCATION: Watford with free on-site parking. COMMUTABLE LOCATIONS: Hemel Hempstead, St. Albans, Hatfield, Cheshunt, Harrow, Wembley, Hayes, High Wycombe, Amersham, Chesham, Berkhamsted, Tring, Luton, Dunstable, Hatfield, Welwyn Garden City, Stevenage, Slough, Maidenhead, London, Milton Keynes, Hitchin, Bletchley, Northampton, Bedford, Aylesbury, Guildford, Reading JOB DESCRIPTION: Electronic Design Engineer - Embedded Firmware, R&D, 'C', Test and Measurement Instrumentation As our Electronic Design Engineer working in our R&D department, you will be designing and developing electronic circuitry and firmware for portable and hand held electrical equipment. You will be redesigning existing products for annual product launches. KEY RESPONSIBILITIES: Electronic Design Engineer - Embedded Firmware, R&D, 'C', Test and Measurement Instrumentation · Product design of electronic circuitry and firmware for portable electrical equipment. · Maintenance of existing product line, e.g. due to component obsolescence, changes in standards, etc PERSON SPECIFICATION: Electronic Design Engineer - Embedded Firmware, R&D, 'C', Test and Measurement Instrumentation Ideally, you will have a proven track record of Product Design - Electronic, Electrical equipment. This could (for instance) be test and measurement equipment (medical, industrial, commercial etc.), domestic goods, personal electronics amongst many other things. · Programming of real time, embedded firmware. · Proficiency in C · Analogue & digital electronic design. · Schematic capture using Altium or similar. · Experience of high voltage technology designs · Designing products to a set of legal / safety standards. Any exposure to ST MCU (Micro Controller Unit) design would be an advantage. THE COMPANY: We're approaching 100 years in business, we're a well-respected manufacturer and brand of portable & hand-held electronic instrumentation. With a heavy focus and investment on R&D and New Product Development, we're genuinely a market leader for innovation in our industry sector. PROSPECTS: Regular salary reviews and potential to develop your career with a well established and growing business. It is highly likely you will have worked in any of the following roles and/or markets, and worked with the following products and/or services: Electronic Design Engineer, Electrical Design Engineer, Firmware Engineer, Systems Engineer - C, C++, MCU, Electrical Test & Measurement, Analogue Electrical Design. Low Voltage Systems, High voltage technology, Instrumentation, Product design, Research and Development (R&D). INTERESTED? Please click apply. You will receive an acknowledgement of your application. Please Note: Wallace Hind Selection have been chosen as the retained recruitment partner of our client and therefore any direct applications to our client from candidates or agencies will be forwarded on to us direct. REF: SP18321, Wallace ind Selection

Junior Systems Engineer Location: Remote (occasional travel required)Salary: Up to £55,000 (DOE)Contract: Permanent A rapidly growing technology company operating at the forefront of safety-critical AI and autonomous system development is seeking a Junior Systems Engineer. This role offers the chance to contribute to innovative assurance technologies designed for next-generation autonomous and aerospace applications. The Role As a Junior Systems Engineer, you will support senior engineers across system architecture, requirements development, safety analysis and integration activities. You'll work with specialists across software, hardware and safety engineering, contributing to high-integrity systems used in advanced autonomous platforms, including UAS. Key Responsibilities • Assist in developing system architectures for safety-critical assurance solutions, • Support integration of hardware and software components across multidisciplinary teams, • Contribute to system-level analysis, trade-offs and risk assessments, • Help define and maintain system requirements, specifications and interfaces, • Support system implementation, integration, verification and validation, • Participate in engineering reviews and lifecycle processes, • Assist in improving systems engineering methods, tools and processesAbout YouEssential Skills & Experience, • Degree in Computer Science, Robotics, Electrical/Aerospace Engineering or related discipline, • Understanding of systems engineering methods (e.g., MBSE, SysML, DoDAF), • Awareness of embedded or real-time system design, • Interest or early experience in safety-critical standards (DO-178C, DO-254, ARP4754A, ARP4761), • Strong analytical, communication and problem-solving skills, • Ability to work collaboratively within technical teamsDesirable, • Academic or industry experience in UAS, robotics or autonomy, • Familiarity with aviation regulations (FAA, EASA, ICAO), • Exposure to AI/ML elements within engineered systems, • Experience within startups, research groups or high-growth tech environmentsWhat's on Offer, • Salary up to £55,000 (DOE), • Excellent benefits package, • Opportunity to work on cutting-edge AI, robotics and autonomy safety technologies, • High-impact role with exceptional learning and development potential

Senior Data Engineer - Role Overview We are seeking a Senior Data Engineer to support the development and evolution of a scalable data platform underpinning private equity investment activity across EMEA. Working closely with investment, research, and technology teams, you will design, build, and optimise robust data pipelines and infrastructure that transform fragmented market and real estate data into structured intelligence. This role plays a critical part in enabling data-driven decision making across underwriting, portfolio strategy, and capital allocation. Key Responsibilities • Design, build, and maintain scalable data pipelines to manage and process large datasets from internal and external sources., • Architect and optimise ETL/ELT workflows using AWS, SQL, Python, and modern cloud-based technologies., • Manage API integrations and automate data ingestion, transformation, and enrichment processes., • Improve data platform performance, reliability, and scalability across the organisation., • Develop analytical tools and dashboards (e.g., Tableau) that deliver actionable insights for investment and business teams., • Implement data quality frameworks, monitoring, and governance processes to ensure data integrity and reliability., • Partner with investment, asset management, and finance teams to translate business requirements into scalable technical solutions., • Strong understanding of data architecture principles, scalable platform design, and data modelling., • Proven experience building and maintaining data pipelines and ETL/ELT workflows using modern data stack technologies., • 5+ years' experience in data engineering or a similar data-focused role., • Strong proficiency in SQL and Python for data transformation, pipeline development, and analytics., • Experience working with cloud platforms (AWS) and modern data warehouses such as Snowflake., • Experience using data visualisation or BI tools (e.g., Tableau) to support analytics and business insight., • Strong analytical thinking and structured problem-solving capability., • Ability to work effectively across teams and manage multiple priorities in a fast-paced environment. Shortlisted candidates will be required to complete a 24-hour coding assessment as part of the selection process.

R&D Engineer - Semiconductor Technology £50,000 - £60,000 + 25 Days Holiday + Pension + Life Insurance + Training & Development + Early Finish FridayLocation: Croydon (Commutable from: Sutton, Bromley, Mitcham, Purley, Redhill, South London) Are you an R&D Engineer with experience in semiconductor devices or optical sensing technologies looking to work on advanced sensor development within an innovative engineering environment? On offer is the opportunity to work on cutting-edge semiconductor sensor technologies with structured training, mentoring, and opportunities to contribute to future technology development. This organisation is a well-established engineering company with a strong focus on innovation and long-term technology development. They are expanding their R&D capability and looking to bring in engineers to support future product development. On offer is a varied research and development role where you will contribute to the development and optimisation of advanced sensor technologies while collaborating with experienced engineers on forward-thinking projects. This role would suit an R&D Engineer with experience in semiconductor devices or optical sensing technologies looking for technical development, training, and the chance to work on advanced sensor systems. The Role: • Work on cutting edge semiconductor and optical sensor technologies., • Collaborate with experienced engineers on innovative R&D projects., • Experience in semiconductor devices or optical sensing technologies., • Passionate about R&D and developing advanced sensor systems., • Motivated to grow technically through training and collaboration. Reference Number: BBBH270869To apply for this role or to be considered for further roles, please click "Apply Now" or contact Sagar Sherchan at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

AI Engineer (Junior Level) Location: Fully Remote (UK working hours)Salary: £40,000 - £50,000Contract: Permanent, Full-time About the Company We're partnering with a fast-growing AI-first biotech startup that has recently secured significant funding and is entering an exciting scale-up phase. The company operates at the intersection of artificial intelligence, biotechnology, and health, using advanced AI models to analyse large-scale biological and medical datasets. With a globally distributed team, they are building next-generation AI systems designed to transform how health and biological data is understood and applied. This is a fully remote role, with collaboration aligned to UK working hours. The Role We're looking for a Junior AI Engineer to join a growing technical team and contribute to the development of AI-driven platforms in a biotech and health-focused environment. This role is hands-on and technical, offering exposure to large biological datasets, AI model development, and modern machine learning workflows, including work with LLMs and data-centric AI systems. You'll work closely with senior engineers, data scientists, and domain experts across biology and healthcare. Key Responsibilities • Build, clean, and maintain AI-ready datasets, working with large-scale biological and medical data, • Support the development and optimisation of machine learning and LLM-based systems, • Assist in designing and improving data pipelines for structured and unstructured biomedical data, • Contribute to experimentation, testing, and validation of AI models, • Degree in a relevant STEM subject (e.g. Biomedical Science, Bioinformatics, Computer Science, Data Science, Engineering, Medicine, Health Sciences, or a closely related field)., • Strong interest in AI applied to biotech, healthcare, or medical data, • Solid programming experience (e.g. Python), • Exposure to LLMs, NLP, or generative AI, • Familiarity with machine learning concepts and data processing, • Experience working with large datasets (academic, research, or commercial), • Experience with biological, clinical, or health-related datasets, • Knowledge of ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn), • Join a well-funded startup at an early growth stage, • Work on cutting-edge AI-driven biotech products, • Fully remote role with a global team To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Junior Data Engineer - Research & Technology Role Overview This role supports the development and maintenance of a scalable data platform underpinning private equity investment activity across EMEA. Working closely with investment teams, you will build and optimise data pipelines, automate workflows, and transform fragmented market and real estate data into structured intelligence that informs underwriting, portfolio strategy, and capital allocation decisions. Role Responsibilities * Build and maintain scalable data pipelines, managing large data sets from internal and external sources. * Develop and optimise ETL processes using AWS, SQL, and modern cloud technologies. * Manage API integrations and automate data ingestion and transformation workflows. * Improve infrastructure scalability, performance, and data delivery processes. * Develop analytical tools and dashboards (e.g., Tableau) to generate actionable business insights. * Implement data quality checks and governance processes to ensure accuracy and reliability. * Collaborate with investment, asset management, and finance teams to translate business requirements into technical solutions. Role Requirements * 1-3 years' experience in data engineering or a similar analytical role. * Strong proficiency in SQL and Python; experience with AWS and data warehousing concepts (e.g., Snowflake). * Experience with BI tools such as Tableau advantageous. * Strong analytical and structured problem-solving skills. * High attention to detail with the ability to manage multiple priorities. * Commercial awareness and interest in investment and real estate markets. Shortlisted candidates will be required to complete a 24-hour coding assessment as part of the selection process.

AI Engineer (Generative & Agentic AI) Permanent Location: London (onsite twice a week) Salary: £75,000 - £85,000 Per Annum D.O.E Build intelligent systems that solve real enterprise problems: We’re looking for an AI Engineer who wants to do more than just plug into APIs, someone who wants to own the build, shape intelligent systems, and bring advanced GenAI and Agentic AI solutions into real-world production. If you’re motivated by tackling messy enterprise problems, not just experimenting with models, this is a role where you’ll build systems that genuinely change how organisations operate. Why this role exists: Enterprises are past the experimentation phase. They’re asking harder questions: • How do we make GenAI stable, scalable, and safe?, • How do we move from prototypes to production?, • How do we integrate AI into existing products and workflows? You’ll be the engineer who takes these questions and turns them into working, impactful AI systems, not just research pieces or demo-ware. This role is ideal for someone who thrives on building, iterating, and owning AI solutions end-to-end. The Role: As an AI Engineer, you’ll be responsible for designing, building, and deploying production-grade AI systems in complex enterprise environments. You will: • Build and deploy GenAI, RAG, and Agentic AI systems that solve real business challenges, • Develop robust pipelines, services, and integrations that turn models into usable products, • Work across front-end, back-end, and data layers to deliver complete, functioning AI solutions, • Collaborate with architects, data scientists, and product stakeholders to shape solutions and define delivery paths, • Take ownership of performance, scalability, and maintainability of AI components, • Continuously experiment, improve, and bring new ideas forward, without heavy process slowing you down This isn’t a research role and it’s not “keep the lights on.” It’s product-driven engineering where you ship real systems into production. Key Responsibilities: AI System Development • Build and optimise AI models and pipelines, • Implement RAG, agentic workflows, and advanced reasoning techniques, • Deploy LLM-driven features into real products Full-Stack & Platform Engineering • Develop APIs, backend services, data flows, and integration layers, • Contribute to UI/UX when needed as part of end-to-end delivery, • Ensure clean, scalable engineering across the stack MLOps / LLMOps • Own the deployment, monitoring, and iteration of AI systems, • Use modern tooling to ensure models and pipelines are reliable, observable, and repeatable Collaboration • Work closely with cross-functional teams to identify opportunities and translate them into robust engineering solutions, • Provide technical input into architecture, design discussions, and delivery planning What We’re Looking For: Core Experience: • Strong Python engineering skills and experience delivering production AI/ML systems, • Hands-on experience with LLMs, RAG, vector databases, and GenAI frameworks, • Experience deploying solutions on cloud platforms (AWS, Azure, or GCP), • Familiarity with LangChain, LlamaIndex, or agentic frameworks is highly valuable, • Strong grounding in software engineering best practices (testing, versioning, CI/CD, scalability) Mindset & Behaviours: • Seek ownership, not just tasks, • Enjoy solving real user and business problems, not just model optimisation, • Thrive in environments where they can experiment and move quickly, • Communicate clearly with both technical and non-technical stakeholders, • Want to see their work in production, being used by real people Why Join? • Work on impactful AI programmes that go beyond prototypes, • Build meaningful, high-value systems that people actually use, • Work with modern GenAI tools, approaches, and delivery models, • Collaborate with experienced architects, engineers, and innovators, • Strong investment in engineering excellence, innovation, and personal development If you want to build AI systems that matter, not just experiment with models, this is your next move.

R&D Engineer - Detector Technology£50,000 - £60,000 + 25 Days Holiday + Pension + Life Insurance + Training & Development + Early Finish FridayLocation: Croydon(Commutable from: Sutton, Bromley, Mitcham, Purley, Redhill, South London)Are you an R&D Engineer with experience in radiation detection or instrumentation looking to develop advanced detector technology within a specialist engineering environment?On offer is the opportunity to work on cutting-edge sensing technology with ongoing training, mentoring, and the chance to contribute to innovative R&D programmes within a globally connected engineering group.This organisation is a long-established engineering company working on highly specialised technologies used across advanced technical industries. They are investing heavily in research and development and are looking to grow their R&D capability with talented engineers.On offer is a varied R&D role where you will support the development and improvement of advanced detector technologies while working closely with experienced engineers on innovative technical projects.This role would suit an R&D Engineer with experience in radiation detection or instrumentation looking for technical development, training opportunities, and the chance to work on advanced sensing technologies.The Role: • Develop advanced radiation detection and instrumentation technologies., • Collaborate on innovative R&D projects within a specialist engineering environment., • Experience in radiation detection or instrumentation technologies., • Passionate about R&D and advancing specialised sensing systems. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

AI Research Analyst (R&D) AI, Automation & Emerging Technology UK | Junior–Mid Level | 2+ Years Experience About the Role We’re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams. As our AI Research Analyst (R&D), you’ll generate the technical evidence that supports strategic decisions. You’ll research AI and automation technologies, evaluate vendors and tools, build (basic) timeboxed proofs of concept in Python and/or C#, and produce clear, decision-ready outputs. This is not a BAU delivery role. It’s structured, evidence-led innovation. You’ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer (Who is an accomplished Software Engineer) Salary: £40 - £50K Basic + Bonus + Benefits package Location: North East office, but remote across the UK is totally fine. What You’ll Bring Essential • 2+ years in a technical analyst, research, or solutions-focused role, • Some Hands-on coding ability in Python and/or C# (You'll learn software engineering from the senior R&D engineer, who'll learn R&D from you!), • Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations), • Strong analytical thinking and structured evaluation skills, • Excellent written communication — clear, concise, decision-ready outputs, • Self-directed working style with confident stakeholder engagement, • Familiarity with workflow orchestration / BPMN fundamentals Desirable • Experience building AI-integrated applications, • API and cloud platform exposure, • Vendor/technology selection experience, • Knowledge of process automation or orchestration platforms Why Join • Direct exposure to cutting-edge AI and automation, • Real influence over technology decisions, • Clear progression into Senior R&D or specialist AI roles, • Close collaboration with Architecture, Engineering, and Product We’re looking for curiosity and rigour in equal measure — someone excited by emerging AI, but disciplined enough to separate signal from noise. Apply now!

Job Title: Machine Learning Engineer (Mid-Level) Salary: £70,000 Location: London Employment Type: Full-Time The Company Our client is an innovative and rapidly growing technology-driven organisation based in London. The business is building advanced data and AI capabilities to support intelligent products, predictive analytics, and automated decision-making across its platforms. With a strong investment in data infrastructure and machine learning technologies, the company is creating an environment where engineers can work on complex problems, develop scalable ML solutions, and collaborate closely with data scientists, engineers, and product teams. This is an exciting opportunity to join a high-performing team focused on delivering cutting-edge machine learning solutions that have a direct impact on business outcomes and product innovation. The Role The company is seeking a Mid-Level Machine Learning Engineer to design, build, and deploy machine learning models into production environments. You will work closely with data scientists and software engineers to develop scalable ML pipelines, optimise model performance, and integrate machine learning capabilities into production systems. The role involves working with large datasets, building robust ML systems, and supporting the full lifecycle of machine learning solutions—from experimentation to deployment and monitoring. Key Responsibilities Machine Learning Development • Develop, train, and optimise machine learning models for production applications, • Work with large datasets to build predictive and analytical models, • Collaborate with data scientists to transition models from research to scalable production systems ML Engineering and Deployment • Design and maintain machine learning pipelines and model deployment infrastructure, • Implement automated model training, validation, and monitoring processes, • Ensure models are scalable, reliable, and performant in production environments Data Engineering and Infrastructure • Work with data engineers to build efficient data pipelines and feature engineering processes, • Optimise data workflows to support model development and experimentation, • Contribute to the development of robust ML infrastructure and tooling Collaboration and Product Integration • Work closely with product, engineering, and analytics teams to integrate ML models into applications, • Translate business requirements into machine learning solutions, • Communicate technical insights clearly to stakeholders Continuous Improvement • Monitor model performance and retrain models as required, • Identify opportunities to improve algorithms, data pipelines, and system performance, • Stay up to date with emerging machine learning technologies and best practices Skills and Experience • Strong programming skills in Python, • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Experience working with SQL and large datasets, • Familiarity with data pipelines, feature engineering, and model optimisation, • Understanding of MLOps practices, model deployment, and monitoring, • Experience working with cloud platforms such as AWS, GCP, or Azure, • Strong analytical thinking and problem-solving skills Experience Required • 3–5 years’ experience in Machine Learning Engineering, Data Science, or AI development, • Experience deploying machine learning models into production environments, • Background working with large-scale data systems or data platforms, • Degree in Computer Science, Data Science, Mathematics, Engineering, or a related quantitative discipline What the Company Offers • Competitive salary of £70,000, • Opportunity to work on real-world machine learning systems and advanced AI solutions, • Collaborative engineering culture with strong technical mentorship, • Exposure to large datasets and cutting-edge ML technologies, • Clear career progression within a growing data and AI team, • Modern office environment in London This is an excellent opportunity for an ambitious Machine Learning Engineer who wants to work on impactful AI projects and contribute to building scalable machine learning systems within a growing and innovative organisation.

Senior JavaScript Engineer / JavaScript Engineer (Next.JS/React) Frontend Developer with curiosity for the whole stack London (Hybrid, Farringdon Tues/Weds/Thurs) £85k–90k + Bonus + Benefits Discretionary bonus (10%), Private Healthcare, 25 Days holiday, 5% pension, Life Insurance, two Volunteering days a year, Season Ticket Loan Do you love solving complex problems and building products real people rely on every day? This established company has spent 25 years helping tell some of the world’s most iconic stories. With a team of 140 and a deep commitment to quality, they’re looking for a Senior Frontend Developer to craft sophisticated client experiences within the music world. You’re a thoughtful, solutions-driven engineer who cares about architecture, performance, scalability and long-term product impact. You don’t just close tickets, you take ownership, think systemically and value clean, usable, maintainable code. Collaboration is second nature to you. You enjoy pairing, knowledge sharing and healthy technical debate. You’re curious about tooling, infrastructure and already exploring how AI can enhance your workflow. The Role You’ll join a small, cross-functional team spanning product, design, research, engineering and operations. It’s a flat structure built on shared ownership and trust, with real influence over not just how things are built, but what gets built. People around you will push you to be your best and they love getting out for lunch together! The roadmap focuses on meaningful workflow challenges, including: • Intelligent search and discovery experiences, • Seamless, responsive user journeys, • Simplifying complex processes, • Ensuring performance and reliability at scale With a front-end focus, you’ll work across the product and stack, with scope to deepen your knowledge of infrastructure and tooling. Tech Stack • TypeScript / JavaScript, • React, Next.js, • Vercel, AWS Serverless (Lambda, API Gateway), • SQL Server, Algolia, • TeamCity (CI/CD) What You’ll Find: • A thoughtful, craft-led engineering culture, • Time to make sound architectural decisions, • Close collaboration with product and design, • Genuine ownership and accountability, • A stable, commercially established business This isn’t “move fast and break things.” It’s about building well, sustainably and responsibly, while working on complex, interesting problems. If you’re motivated by craft over hype and want to build reliable, well-designed tools at the heart of how people work, apply now or contact Simon Morris at Ithika Recruitment for a detailed discussion. Ithika Recruitment, partnering world-class talent with world-class companies.

About King's: King’s College London is a world-renowned university that delivers exceptional education and world-leading research. King’s College London’s IT Department is looking for an enthusiastic and motivated apprentice with great communication skills to kick start their IT career, and join us in providing excellent customer service and IT Support for King’s staff and students. You’ll be joining our End User Services Desktop Team, who are the front of house for King’s IT, and support people at all levels of the University. We will provide full training, so previous IT experience is not essential. What the job entails: You’ll become an integral part of our IT HUB & Desktop teams, providing advice and technical assistance to King’s staff and students, both at our onsite TechBars and IT HUB, and via support tickets. Our team supports a range of IT hardware and software including: • Windows and macOS laptops and desktops, • Android and iOS/ iPadOS phones/ tablets, • Microsoft 365 and other specialist software, • Audio visual equipment for teaching and learning Your off the job training will be with QA our Apprenticeship Partner, and will consist of online self study, and online classroom style teaching. A typical day with us will involve assisting King’s staff and students with in person IT support and assistance and working closely with our Desktop Team. This could involve deploying IT hardware to users, working on projects such as office moves, student computing maintenance, or assisting staff and students via support tickets. You will work on an 18 month contract with us while you complete your studies and will have the opportunity to complete two Microsoft Technology Associate (MTA) exams in Cloud and relevant technologies, and your ITIL Foundation Certificate, in addition to the Level 3 Cloud Engineer Apprenticeship. You’ll be responsible for: • Providing technical and customer service support via a rota at campus-based locations, • Processing support tickets assigned to the End User Services team and ensure their timely completion, • Participating in cross team working and training, • Ensuring knowledge and skills are developed on the supported IT infrastructure, • Functioning as an IT ambassador providing advice and knowledge where appropriate, • Contributing actively to the continual service improvement process, • Basic computer literacy, • Basic customer services experience, • Ability to identify and manage priorities, • Excellent written and oral communication skills, • Ability to articulate ideas to both technical and non-technical audiences, • Proactive approach to work, • Ability to set and achieve goals for self within the framework provided, • 3 GCSEs (or equivalent) at grades 4+ (A-C) in any subject, • GCSE Maths and English (or equivalents) at grades 3+ (D or above) If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications. For more information please visit the UK ENIC website. Working hours: 35 hours per week, 9am – 5pm Benefits: We offer 30 days of annual leave in addition to University Closure days. Find out more about the benefits of joining us here: Future prospects: 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average. About QA: Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 50,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed. Interested? Apply now! Please be advised that this advert may close prior to the closing date stated above if a high number of applications are received. If you are interested in this vacancy please apply below as soon as possible.

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

Do you want to build production GenAI systems used daily by legal professionals globally? Are you interested in shipping AI products end to end? Are you excited by complex, high-precision problems where quality truly matters? A fast-growing LegalTech AI scale-up is applying GenAI across the full intellectual property lifecycle. Their platform is used by IP teams globally to automate drafting, litigation workflows, and document analysis. With over £50m in funding from institutional investors, and rapid revenue growth into eight figures, the company is scaling aggressively. The role They are hiring AI Engineers to design, build, and deploy production-grade GenAI systems in a high-stakes legal environment. This is a deeply hands-on engineering role focused on shipping reliable systems used by real customers. Key responsibilities • Build and deploy LLM-powered features across drafting, prosecution, and litigation workflows, • Design and maintain RAG pipelines over large, complex legal and technical corpora, • Own systems from prototype through to production, • Focus on robustness, evaluation, and reliability in precision-critical use cases, • Collaborate closely with full-stack engineers and domain experts What they’re looking for • Strong AI research background with top publications or a strong software engineering background, • Excellent production engineering fundamentals regardless of background, • No data-science-heavy profiles, • Comfortable being scrappy and hands-on in a fast-scaling environment, • Ideally 2+ years of experience, but open to exceptional graduates or more senior engineers, • Infrastructure or deployment experience (AWS, Terraform) is a bonus, • Happy working onsite five days per week Tech stack • Python, FastAPI, • React, TypeScript, • Postgres, • AWS, Terraform Compensation & details • up to £185k base + equity (flexible for exceptional profiles), • Visa sponsorship available, • Standard pension, • Five meals per week provided in office, • Location: City of London, • Working policy: in-person, five days per week Interested? Please apply below.

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 Perception Engineer - Spatial Understanding & 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 • Competitive salary plus participation in our Employee Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Private Health Insurance, • Office perks: free hot breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Staff ML Engineer – AI / NLP / Search (London – Hybrid) £90,000 - £110,000 An industry-leading, AI-first technology platform in the intellectual property space is hiring a Staff-Level ML Engineer to lead all Data and NLP initiatives. This company was an early adopter of Large Language Models and is building advanced, agentic AI workflows that autonomously answer complex research questions. The platform combines proprietary ML models with cutting-edge NLP techniques to deliver high-precision search and insights at scale. The Role As the technical lead for Data & NLP, you will: • Own and improve search performance (precision & recall), • Optimise large-scale search algorithms for speed and relevance, • Design and implement agentic LLM workflows, • Build and maintain robust data pipelines, • Lead model development, training, and deployment Requirements • 8+ years of commercial experience in engineering and data science, • Proven technical leadership experience, • Strong Python expertise, • Commercial Machine Learning experience, • Deep experience in Natural Language Processing (NLP), • Experience training models in TensorFlow and PyTorch, • Experience with search databases (Elasticsearch, OpenSearch, etc.), • Experience with AWS or similar cloud platforms, • Willingness to work 3 days per week onsite in London What’s on Offer • Stock Option Plan, • 25 days holiday, • Pension contributions, • Flexible working, • Ongoing training & development If you’re excited about building advanced AI systems that solve complex real-world problems at scale, I’d be keen to speak. Please feel free to message me directly for more details.

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

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

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,500+, and has 60 offices in 20 countries within key global markets. About the Role We are looking for an experienced OpenShift Site Reliability Engineer (SRE) to ensure the reliability, availability, and performance of enterprise‑grade OpenShift‑based virtualized and container platforms. This role focuses on automation, secure service design, and cross‑team collaboration across Applications, Hardware, and Network domains. You will build proactive systems that prevent outages, enforce SRE best practices, and participate in an on‑call rotation. Primary Responsibilities • Manage and optimize OpenShift and container/virtualization platforms for high availability and performance., • Collaborate closely with multiple technical teams to deliver scalable, secure solutions., • Design secure cloud‑native service architectures with automation-first principles., • Develop automation using Shell, YAML, Ruby, Python, and Go for detection, remediation, and platform improvements., • Implement SRE guardrails, system modeling, and platform governance., • Hands‑on experience with OpenShift Virtualization and Kubernetes administration., • Strong understanding of distributed systems and failure scenarios; experience managing RedHat, Windows, and ESXi workloads., • Deep knowledge of Linux systems and networking., • Experience with monitoring/observability stacks (e.g., OpenTelemetry, Prometheus, Grafana, Splunk)., • Proficient in automation/scripting (Python, Shell, Go, Terraform)., • Familiar with CI/CD tools such as Jenkins or GitLab CI., • Strong understanding of Docker and microservices architectures., • Experience with Ansible for configuration management and deployment automation., • Experience improving team performance and engineering workflows., • Strong active listening and self‑management skills., • Broad exposure across compute, OpenShift, Kubernetes, hypervisors, storage, Windows, networks, and Linux., • Ability to collaborate with industry groups and external vendors to influence platform direction., • Ownership of engineering controls, compliance, and governance., • Promote innovation and adoption of modern technologies within the domain. Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Title: Lead AI Engineer - Insurance Location: London (Hybrid Working) Salary: £100,000 - £130,000 DOE + Package Industry: Insurance A leading UK insurer is seeking a Lead AI Engineer to play a pivotal role in scaling enterprise AI across underwriting, claims and customer operations. With multiple AI use cases already live across the business, this role will focus on advancing production-grade AI capability, particularly across Generative AI and NLP, ensuring measurable commercial impact and scalable technical delivery. This is a hands-on leadership role combining engineering excellence, AI innovation and team development. As a Lead AI Engineer, you will: • Lead and mentor a growing team of AI Engineers, • Own end-to-end delivery of AI solutions from research and prototyping through to production deployment, • Drive the development of advanced NLP and LLM-powered applications, • Contribute to shaping the enterprise AI and GenAI roadmap, • Ensure AI solutions are robust, scalable, secure and commercially measurable Key Responsibilities: Technical Leadership • Set engineering standards and best practices for AI development, • Guide architecture across NLP, LLM integration, and ML model deployment, • Oversee model evaluation, monitoring, and continuous improvement, • Mentor engineers and foster high-performance technical culture Generative AI & NLP Delivery • Design and deploy production-grade LLM applications, • Lead prompt engineering, fine-tuning and evaluation frameworks, • Develop AI solutions supporting claims processing, underwriting insights and customer servicing, • Integrate AI capabilities into enterprise systems and workflows Business & Stakeholder Engagement • Partner with senior stakeholders to identify high-value AI opportunities, • Translate business challenges into scalable AI architectures, • Measure and communicate impact in commercial terms Key Requirements: • Proven experience delivering AI solutions into production within Insurance or Financial Services, • Strong expertise in NLP, Generative AI, and LLM implementation, • Advanced programming capability (Python essential), • Experience taking research concepts through to scalable production systems, • Strong stakeholder engagement skills, • Comfortable operating both strategically and hands-on technically

🤖 Senior Research Engineer - Conversational AI 📍 In-office (Location TBC) Recruiting for a leading conversational AI platform backed by tier-1 investors that's redefining customer experience for enterprise brands. About the company: They power AI agents for industry-defining companies, delivering personalized customer interactions across voice, chat, email, and SMS. Their technology is moving customer experience beyond support tickets and hold music to faster resolutions and richer conversations. The team: The Research team builds the model and decision-making stack powering enterprise conversational agents. They work on state-of-the-art techniques in model training, prompting, orchestration, and evaluation to make agents more accurate, robust, and efficient in real-world deployments. What you'll do: • Lead research and engineering to improve conversational capabilities (instruction following, retrieval, memory, long-horizon tasks), • Build end-to-end models and pipelines optimizing for quality, efficiency, and UX, • Take research ideas from prototype to production with measurable impact, • Own multi-quarter initiatives pushing agent reliability and capability forward, • Design frontier approaches for training, evaluation, and orchestration, • Partner with platform/product engineers on production integration You have: ✅ 5+ years in AI/ML engineering or research ✅ Experience post-training and deploying LLMs in production ✅ Strong Python and modern ML tooling (training, evaluation, data pipelines) ✅ Track record shipping research from prototype to reliable production impact ✅ Ability to break down ambiguous research into clear milestones What makes this special: • End-to-end ownership - build models that go straight to production, • Real impact - measured by resolution rates and customer satisfaction at scale, • Applied frontier AI - pushing conversational AI boundaries with enterprise constraints, • High-trust environment - own technical decisions and ship real improvements Culture: Fast-paced, in-office team driven by excellence and velocity. Strong bias for action and customer-centric innovation. Ready to build production AI that millions use? DM me 👇 #AI #MachineLearning #LLM #ResearchEngineering #ConversationalAI #NLP #Python #MLOps #ProductionAI #TechJobs

Senior Machine Learning Engineer Location: London, UK About the Role We’re looking for an experienced Machine Learning Engineer to lead the development and training of advanced large-scale language models. In this role, you will be responsible for pushing the performance and reliability of next-generation AI systems, specifically focusing on models that assist with complex real-world tasks. You’ll work closely with cross-functional teams including infrastructure, product and research to shape both the training pipeline and the evaluation of highly capable models. Key Responsibilities • Design and execute large-scale training experiments on multi-GPU and distributed environments using cutting-edge ML frameworks., • Lead both supervised fine-tuning (SFT) and reinforcement learning (RL) workflows to improve model performance on domain-specific tasks., • Build, maintain, and optimise custom training pipelines, including dataset preparation, distributed training primitives, and scheduling of multi-node jobs., • Collaborate across engineering and research teams to align training goals with product priorities and performance metrics., • Troubleshoot training challenges such as stability, scaling issues, and GPU utilisation bottlenecks. What We’re Looking For • Experience: 3–5+ years working in ML engineering or applied machine learning roles, with hands-on responsibility for training and deploying models in production-like environments., • Technical Skills:, • Strong proficiency with PyTorch including distributed training (e.g., DDP/FSDP)., • Practical experience training large sequence models or transformer-based architectures., • Comfortable building and maintaining data pipelines, optimising large datasets, and handling model scaling challenges., • Solid software engineering fundamentals — clean, maintainable code and version control best practices., • System Knowledge: Hands-on experience with multi-node GPU clusters, orchestration tools (e.g., Kubernetes, Slurm) and performance tuning., • Communication: Clear and effective communicator, able to share insights with both technical and non-technical stakeholders. Desirable Qualities • Experience with reinforcement learning workflows and sequence-level reward strategies., • Familiarity with model evaluation tools and benchmarks for large-scale AI systems., • A proactive, collaborative mindset that thrives in a fast-moving environment where innovation and experimentation are central.

I'm working with a quant hedge fund famous for their tech and scientific driven culture, giving engineering teams huge resources, budget and scope to impact the business with the software they develop. They're looking for a Front End Engineer to come in and modernise and augment UIs across multiple applications, spanning Risk, Research and Compliance. They're looking for a software engineer who can work on solutions end-end, bring in fresh ideas, and manage up to stakeholders and non technical staff, being a great communicator. Stack: React, Typescript, Javascript, AWS, The company have a modern tech and research driven culture, and have a 4+ Glassdoor review to back this up. If you have JavaScript proficiency combined with a financial background, then please do apply to find out more.

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

AI Engineer [Analyst] – Early Career Role About the Job As an early‑career AI Engineer at Cerberus, you’ll join a small, high‑impact team building AI systems that power decision‑making across a global investment platform. You’ll work alongside experienced AI engineers, data scientists, and technologists to deliver real products used by investment teams and portfolio companies. This role is ideal for: • PhD graduates in a STEM field with applied ML, optimization, or computational experience; or What You’ll Do Build and deliver ML systems Work with senior engineers to design, train, and deploy machine learning models and data-driven tools that support investment and operational decision-making. Contribute to real production deployments Help integrate ML models into business workflows, build data pipelines, and support the rollout of AI applications across teams. Experiment and iterate Prototype ideas, test assumptions, and rapidly evolve solutions based on real user feedback and real-world constraints. Learn modern tooling and practices Gain hands-on experience with ML frameworks, cloud infrastructure, MLOps tools, and best practices for building scalable AI systems. Communicate clearly Translate technical findings into clear, structured insights for collaborators across technical and business teams. Grow as an AI engineer Develop skills across the full ML lifecycle—data processing, modelling, evaluation, deployment, and ongoing improvement. Sample Projects You Might Work On GenAI for due diligence Support the configuration, extension, and rollout of our in-house GenAI platform across investment teams. Work with senior engineers to customise workflows, analyse model outputs, and drive adoption. Automated Deal Sourcing Tools Help build prototypes that extract signals from datasets and integrate with APIs to enrich leads. Support the creation of modular ML-driven components that can be used across investment strategies. (Both examples are reframed so junior team members contribute meaningfully but are not expected to independently lead full workstreams.) Your Experience We don’t expect candidates to have experience across all areas—what matters most is strong technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills • Degree in a STEM field., • PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas., • Experience writing clean, maintainable Python code., • Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows., • Comfortable working with data, performing analysis, and writing SQL queries., • Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP)., • Strong problem-solving skills, • Curiosity and eagerness to learn, • Pragmatic, impact-driven approach, • Ability to work collaboratively in a fast-paced environment About Us We are a growing team of AI specialists—data scientists, ML engineers, software engineers, and technology strategists—working to transform how a global investment firm with $65B+ in assets uses data and AI. We operate like a startup within the firm: fast, collaborative, and focused on delivering real value. Our work spans investment desks, portfolio companies, and core operations, giving early-career engineers wide exposure and the opportunity to grow rapidly.

Summary • About: Kalisa is a GenAI platform turning knowledge and expertise into secure AI solutions, in minutes., • Core skills required: Python, Flask, LangChain, RAG, Generative AI product development, LLMs, Guard railing, anti-hallucination techniques and GenAI evaluation techniques., • Other skills considered: Tailwind CSS, HTMX, AWS or Azure or GCP, • Please only apply if you are fully eligible to work in the UK Who we are Kalisa is a fast-growing AI start-up enabling the next generation of professional services. Our platform helps organisations turn their knowledge and expertise into chat agents, automated workflows and AI-powered experiences - securely, reliably, and at scale. We are based in the UK and service a rapidly growing client base around the world. Due to this continued growth we are expanding our engineering team to help us scale our platform and build new functionality. We are at the start of the GenAI revolution, and this is an opportunity like no other. If you think you are the right person for the role, we encourage you to apply and look forward to hearing about your tech journey. Who you are • We are seeking an experienced Flask Python AI Engineer with LangChain Experience with a proven track record in building and deploying production-grade GenAI applications., • You will join a small, agile, and passionate team to enhance and scale our GenAI platform., • This will involve working closely with our team to deliver new features, improve existing functionality, and ensure seamless integration with new foundation models as they become available., • You will be able to work independently, be self-sufficient, eager to learn, be able to build something from scratch and see it through to completion. As a key team member, you will: • Architect & Implement: Design, build, and maintain reliable, scalable, and high-performance Python services within a Flask-based ecosystem., • Front-End Enhancement: Leverage HTMX and Tailwind CSS to create an engaging, dynamic and responsive user interface, minimising JavaScript overhead and improving the overall user experience. No prior HTMX experience is required., • GenAI Integration: Work with LangChain to implement prompt engineering techniques, RAG pipelines, and intelligent agent capabilities., • RAG & Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases., • Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies., • Cloud Deployment: Integrate and deploy services across cloud platforms (Azure, AWS, GCP), ensuring robust infrastructure, monitoring, and observability., • Data Security & Compliance: Collaborate with security teams and architects to ensure data privacy, compliance, and reliable access controls within enterprise environments., • Continuous Improvement: Participate in code reviews, contribute to technical documentation, and proactively identify opportunities for platform optimisation and enhancement. Requirements Professional Experience: • Python Proficiency: Minimum of 5 years of experience working with Python, the Flask framework, developing relational database-driven backend services, APIs and web apps., • Front-End Integration: Demonstrable experience of working with Tailwind CSS to implement responsive website and web app designs., • GenAI Expertise: A minimum of 2 years of experience building and shipping at least one GenAI product (e.g., LLM-based app, custom chatbot, RAG-driven knowledge platform)., • LangChain: Demonstrable experience working with LangChain., • RAG & Vector Technologies: Demonstrable knowledge of RAG techniques, vector databases, semantic search, and embedding models., • Responsible AI: Guard railing, anti-hallucination techniques and GenAI evaluation techniques. Nice to have: • Front-End Integration: Working knowledge of HTMX to build dynamic web applications., • Cloud Platforms: Practical experience deploying and managing applications on at least one major cloud provider (Azure, AWS, or GCP). Additional Requirements: • Based in the UK and authorised to work., • Strong communication skills and the ability to work effectively in a fully remote team environment., • Fluent English speaker and writer., • Most of our work is in written form, which means being a good writer is very important. The importance of high-quality writing is carried through our designs, internal project discussions, code comments and the code itself., • Self-starter mentality with a focus on delivering tangible results. What We Offer • Competitive Pay: Based on your experience to date., • Fully Remote: Enjoy the freedom to work from anywhere in the UK., • Pension, • 25 Days Holiday + Bank Holidays, • High Impact Work: Contribute to a fast-growing platform already used globally, enhancing your experience and portfolio., • Career Growth Opportunities: Work at the intersection of cutting-edge AI research, product innovation, and world-class engineering practices., • Latest Cloud & AI Technology: From AWS, Azure and GCP., • Learning and Development Opportunities: Including access to resources and mentorship., • A Friendly, Supportive and Passionate Team. Our Hiring Process • 10 min video demonstration: We will ask you to record a 10 mins video showcasing a LangChain (ideally!) GenAI project you have built or took part in developing, clearly showcasing and explaining the application of LLMs and vector embedding of external documents or data, guard railing, anti-hallucination techniques and GenAI evaluation techniques., • Initial Interview, including GenAI project walkthrough: Meet with our CEO for an in-depth discussion about your experience, approach, and technical skills. This is an opportunity for us to get to know each other and ensure we share the same vision and values. We will discuss the GenAI project you showcased in the previous step, and discuss your design decisions, implementation details, and the overall outcome, giving us a chance to understand your problem-solving approach and coding style., • Technical Challenge: If you are successful in the initial interview, you will be invited to complete a technical challenge that will be briefed based on your experience. We expect this to take 1-2 days, and you will be compensated for your time. If you are excited about pushing the boundaries of what is possible with GenAI and you meet the above criteria, we would love to hear from you. Direct applications only - No recruiters

Do you want to work on LLM systems that ship to real users, not just papers? Have you published at top AI venues and want to build in industry full time? Are you ready to join a small, elite team with a genuinely high technical bar? A fast-scaling, YC-backed LegalTech AI company is building GenAI systems across document processing, draft generation and information retrieval. Their platform is already used by hundreds of legal teams globally, and they’re now expanding their AI group as they scale in London and internationally. This is not a generic graduate role. They’re looking for exceptional early-career research engineers who can combine strong academic foundations with practical engineering execution. The role You will work on applied research problems directly connected to production GenAI systems: improving retrieval, reasoning quality, grounding, evaluation, and system robustness across large, complex document corpora. Key responsibilities • Build and iterate on LLM + RAG pipelines over technical/legal documents, • Design evaluation methods to improve correctness, faithfulness, and reliability, • Improve retrieval quality (chunking, ranking, metadata strategies, failure analysis), • Prototype and productionise applied research ideas into product workflows, • Collaborate closely with backend/full-stack engineers to deploy features end-to-end What they’re looking for • New Grad / Early Career, ideally MSc or PhD in CS/ML/NLP (or related), • Strong applied ML research background, ideally with publications in top venues such as:, • NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI (added bonus), • Strong engineering fundamentals in Python, • Comfortable working in real codebases (not just notebooks), • Product-minded: enjoys turning research into shipped systems, • Happy working onsite 5 days per week in Central London Interested? Please apply below.

Team: Frontend Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90–120k Base Salary + Discretionary Bonus + Equity Zettafleet is an end-to-end platform for businesses and organisations to train their own LLM on their proprietary data. We can use non-conventional AI hardware and automatically source and combine GPUs (and other types of AI accelerators) from multiple cloud providers, enabling users to optimise for cost, duration or geographic location of the training. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg, Google, AWS, and WhatsApp (Meta). We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of a web-based application for Machine Learning workloads. We put strong emphasis on user experience, aesthetics and pixel-perfect design. You will be working closely with the Machine Learning team to understand the underlying concepts and user flows; however, you are not required or expected to have background in Machine Learning. This is a senior-level role, and we are looking to hire a software engineer with background in product design, UI/UX design, and with a strong sense of aesthetics. Portfolio We would love to see your recent frontend works! If possible, please include the link(s) to your portfolio in your CV. In this role, you will: • Design and develop web-based user interfaces using TypeScript and React., • Lead projects from inception to launch and beyond, having a high degree of autonomy and ownership over your work., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company., • Work with a graphic designer on the creation of original visual assets., • Co-hire your future colleagues. Our tech stack: • We use and leverage AWS, Cloudflare, and GitHub as much as possible., • The codebase is written in TypeScript, React, Vite, TanStack, and Radix UI., • We use Figma for wireframes and ideation., • We are highly confident in our backend API schemas and functionality. What we are looking for: • Frontend development: 5+ years of industry experience in frontend engineering, developing and designing responsive web applications using TypeScript., • Excellent knowledge of the frontend fundamentals: In-depth knowledge of the core technologies, including HTML5, CSS3, TypeScript and React., • Design systems: Understanding of popular design systems, such as Google Material Design 3 or Apple HIG., • Leadership: A track record of leading complex projects., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex projects into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders. Nice to have: • Visual design: Background in graphic design and/or visual arts., • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience with a startup work environment and wider ecosystem. How we work: We are a small, early-stage team with big ambitions. We move quickly, care deeply about what we build, and take pride in doing things well. This is a high-ownership environment where people who are proactive, curious, and motivated by impact tend to thrive. Why join us? • Work in an environment conducting cutting-edge research in AI., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

Role: C++ Software Engineer - Up to £190k + Bonus Salary: Up to £190k + Bonus Location: London (Hybrid) Skills: Language agnostic, just need to be a keen technologist (Ideally experienced in C++/ low level languages) This firm is an elite company with high tech standards who have previously set tech world records. They are made up of some exceptionally talented individuals who above all are passionate about using the latest and greatest tech and pushing it to the limits. They’ll find the best team to suit your skillset/interests but you could be working on: • Designing and developing scalable, tested and production grade financial systems, • R&D work for functional programming; either pre-existing languages (such as Rust and Erlang), or purpose-built languages similar to OCaml, • Building out low latency infrastructure and tweaking research models What else is in it for you? • Software Engineers are treated as the company's #1 asset, • Low attrition rate; people working there love what they do on a daily basis!, • Very friendly, tight-knit environment, • Flat structure, with a clear progression route

Senior Network Automation Engineer (Datacentre & Platform) Location: London/ Paris Type: Full-time Our client is building a high-performance, on-premise datacentre and research platform where the network is treated as software. This role sits at the heart of that platform. You’ll help automate everything from intent and design through to provisioning, validation, telemetry, and remediation turning complex network operations into safe, repeatable, code-driven workflows. Role Responsibilities • Design and evolve a network automation framework: source of truth, templating, validation, and change control, • Build idempotent automation to provision and operate datacentre fabrics at scale, • Integrate with vendor APIs and SDKs (e.g. network OS APIs, validation platforms), • Capture network intent as code, with peer reviews and quality gates, • Instrument the network with telemetry, alerting, and SLOs to enable automated remediation, • Apply NetDevOps practices and help raise the bar across the team, • Collaborate with network and platform engineers to translate designs into automated workflows, • Deliver frequent, incremental improvements through safe, tested changes Strong hands-on experience with: • Advanced Python for production-grade tools and services, • Go (preferred) for performant, long-running tooling, • Ansible (roles, collections, structured data models in YAML/JSON), • Git workflows: branching, pull requests, semantic versioning, • Source of truth / CMDB systems (e.g. NetBox, Nautobot), • Network validation & testing (pyATS, NAPALM, or similar), • Linux networking fundamentals (iptables, DHCP, DNS) and Bash scripting, • Observability: metrics, logs, tracing (Prometheus/Grafana or equivalents), • Secrets & config management (Vault, PKI best practices) Nice to have: • Workflow orchestration (Temporal or similar), • Containers and orchestration (Docker, Kubernetes), • Experience with datacentre fabrics, QoS, and high-performance networking