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

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

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

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

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

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

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

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

The Hall & Kay way… it’s a people thing. At Hall & Kay, we deliver complex fire protection and security solutions to protect what matters most to our clients. As technical experts our focus is on the lifetime value of a project. Meaning we can design, supply, install, test and maintain all types of sprinkler, gas suppression, fire detection, and integrated security systems. With 140+ year trading experience and a strong project delivery culture, we are proud to have built lasting relationships with some of the UK’s most respected companies in all areas of industry and construction. Summary of role We are looking for a highly skilled Project Engineer to join our team and oversee the installation, commissioning and integration of security systems for our clients. The ideal candidate will have a solid background in security technology, hands-on experience with installation procedures, and a commitment to delivering high-quality service to our customers. Responsibilities: • Collaborate with clients and project managers to design security systems tailored to their specific needs and requirements., • Develop detailed installation plans and ensure compliance with industry standards and regulations., • Execute the installation of security systems including CCTV cameras, access control systems, alarm systems, and other related technologies., • Install hardware, wiring, and peripherals according to project specifications and safety guidelines., • Integrate security systems with existing infrastructure, networks, and software platforms., • Configure system settings, protocols, and interfaces to ensure seamless operation and interoperability with other components., • Conduct thorough testing and commissioning of installed security systems to verify functionality, performance, and compliance with client expectations., • Troubleshoot any issues and make necessary adjustments to achieve optimal operation., • Create comprehensive documentation of installation procedures, configurations, and system integrations., • Maintain accurate records of equipment inventory, wiring diagrams, and test results for future reference and troubleshooting purposes., • Provide training to clients and end-users on how to operate and maintain security systems effectively., • Offer guidance on best practices for security management, system administration, and troubleshooting procedures., • Offer technical support to clients during and after the installation process., • Address any questions, concerns, or issues promptly and professionally to ensure customer satisfaction and retention., • Ensure that all installations meet quality standards and regulatory requirements., • Conduct regular inspections and audits to assess the performance and reliability of installed systems and recommend improvements as needed. What we will need from you: • Proven experience in installing, integrating security systems, and commissioning including CCTV, access control, and alarm systems., • Strong technical skills in electrical wiring, network configuration, and system integration., • Familiarity with industry standards and regulations related to security technology., • Excellent problem-solving abilities and attention to detail., • Effective communication skills with the ability to interact professionally with clients, colleagues, and vendors., • Ability to work independently and manage multiple projects simultaneously., • Relevant certifications (e.g., Certified Security System Installer, Certified Low Voltage Technician) are a plus. What you can expect in return • Competitive & negotiable salary depending on relevant experience, • 25 days holiday plus bank holidays and option to buy holiday, • Contributory company pension scheme, • Life Assurance, • Company Van, • Company Funded Health Cash Plan, • Hours: 40 hours per week (Monday to Friday 8.00 – 16.30) Location: On-site –London, GBR At Hall & Kay, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. Please note: You may be required to undertake a DBS check as part of your job role at Hall & Kay. How to apply Please submit a tailored CV detailing your experience relevant to this role. Additional Company information What sets us apart? Our culture. What we call ‘the Hall & Kay way’.…it’s a people thing. Put simply, we know we can achieve more when we work as a team – with clients, with the communities we serve and in our own business. Our people create safety every single day, using their skills and experience to adapt to changing situations and rise to the challenges presented to them. It’s our people that make us trusted to deliver. Find out and what our about us.

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Join JLL's dynamic team serving one of the world's largest banking and financial services organisations with a network spanning more than 50 countries and territories. We're seeking talented professionals who thrive in fast-paced environments and are eager to drive meaningful change. This is an outstanding opportunity to work alongside industry experts that help shape the future of workplace strategy for a globally recognised institution. Whether you want a career that could take you to the top or an exciting new direction, we offer opportunities, support and rewards that will help you stand out, fulfil your potential, and ultimately make your mark on something truly exciting. Shift Engineer We are seeking a highly skilled, multi-disciplinary Shift Engineer with expertise in a variety of trades, including Mechanical, HVAC, electrical, plumbing and general building maintenance. This position requires a flexible, proactive individual who will be part of a team responsible for the maintenance and repair of the site. The ideal candidate should have strong problem-solving abilities, good communication skills, and a keen eye for detail. A company van will be provided to support travel between locations. Working Hours: 12 Hour Shift Continental Shift Pattern Operationally Comply with all requirements of the Client contract and meet or exceed Key Performance Indicators Operate all systems within the buildings in a competent, effective, and efficient manner (including HV operations where required). Ensure regular plant inspections, works inspections and audits are carried out to drive operational excellence across the site. Monitor and operate building automation systems (BAS) including HVAC, lighting, security, fire alarm, and energy management systems Respond to system alerts and alarms, diagnosing and resolving issues or escalating as needed Perform routine inspections and preventative maintenance on smart building technologies and equipment Troubleshoot IoT devices, sensors, controllers, and network connectivity issues Execute programming changes to building systems as directed by engineering team Monitor energy usage patterns and implement efficiency measures according to established protocols Document all maintenance activities, system adjustments, and technical issues in digital management systems Coordinate with vendors and contractors for specialized maintenance and repairs Respond to occupant comfort requests and technical support needs during shift Maintain comprehensive knowledge of building systems integration and dependencies Desired or preferred experience and technical skills: HV/LV authorised person AP15 - Refresher training can be provided Current Edition IEE: Wiring and Installation Regulations or equivalent Mechanical engineering qualification HNC & HND in an engineering discipline Confined Authorised person - Refresher training can be provided Mechanical Pressure authorised person - Refresher training can be provided Experience with building automation systems and integrated smart building technologies Basic programming and configuration skills for smart building systems Strong troubleshooting abilities and analytical thinking Proficiency with computerized maintenance management systems (CMMS) Required Skills and Experience: City & Guilds Level 3 NQV in electrical/mechanical discipline Has worked within a Critical Engineering Facility Strong PC literacy and able to manage daily activities using various systems, such as BMS, and other computerized control/monitoring system Location: On-site –London, GBR If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table! At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our _. For additional details please see our career site pages for each country. Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our page > I want to work for JLL.

Contract Embedded Software Engineer – C++ / Linux / Networking We’re seeking an experienced Embedded Software Engineer to work on cutting‑edge, real‑time embedded systems for next‑generation products operating in demanding environments. This is a hands‑on contract role for someone who’s comfortable working close to hardware, enjoys solving complex technical problems, and thrives in collaborative, Agile teams. What You’ll Be Doing • Designing and developing embedded software for new products using C++ and C#, • Supporting product verification and testing activities through development and integration, • Working closely with both Software and Hardware teams to deliver robust solutions, • Contributing to Agile ceremonies, including sprint planning, reviews, and retrospectives, • Participating in code reviews and regular technical and project meetings What We’re Looking For • Solid commercial experience as an Embedded Software Engineer, • Strong proficiency in C++, with exposure to C# in embedded or supporting tools, • Deep understanding of real‑time and multi‑threaded systems, • Hands‑on experience with build environments such as OpenEmbedded, Bitbake, and Makefiles, • Good working knowledge of TCP/IP and UDP networking, with experience using tools like Wireshark, • Comfortable working with Linux, including kernel concepts, CLI tools, and Bash scripting, • Experience using Python for scripting or tooling, • Any exposure to U‑Boot, Web GUI frameworks (e.g. Wt), radar systems, ASTERIX Cat240, or RF transceiver integration is highly advantageous This is an Inside IR35 contract - please get in touch for further info.

All3 is transforming how buildings are conceived, developed and delivered. We combine AI-powered design with robotic prefabrication and on-site assembly to build custom architecture at the cost and speed of mass production - unlocking even the most complex sites. We’re currently seeking a Senior/Lead Reinforcement Learning Control Engineer (seniority level adjustable based on candidate expertise) to develop learning-based control systems for dynamic locomanipulation on our large legged robotic platform, Mantis. You’ll design reinforcement learning solutions that integrate tightly the rest of our framework to enable robust locomotion and manipulation in complex, semi-structured construction environments. Responsibilities: • Design and train reinforcement learning policies using physically grounded sensor models (LiDAR, cameras, IMUs) to support autonomous locomotion and manipulation capabilities;, • Integrate learned components within a complex software architecture, ensuring stability and reliability;, • Develop a robust methodology for policy training, tracking improvements and monitor progress and performance evaluation;, • Develop robust sim-to-real transfer strategies and ensure successful deployment of the policies to the hardware platform;, • Analyse hardware experiments, identify failure modes and iteratively improve performance and robustness;, • Collaborate closely with perception, state estimation and software engineers to deliver cohesive, real-time robotic behaviour and evolve the robot software architecture design;, • Contribute to the evolution of a unified whole-body control framework for loco-manipulation capabilities;, • This is not a simulation-only research role. The systems you build will run on hardware and must operate reliably under real-world constraints. Expertise: • Strong proficiency in Python and PyTorch; with a good C++ experience;, • Solid understanding of ML approaches and their challenges and practical limitations in physical systems;, • Hands-on experience with legged locomotion (quadruped or biped) and/or robotic manipulation;, • Good understanding of robot dynamics, kinematics and contact modelling;, • Experience deploying learning-based components on real robotic hardware;, • Ability to reason about stability, safety and robustness — not just reward optimisation;, • Ability to shape the technical direction by helping design methodology, provide in-depth analysis and insightful feedback. Nice to have: • Experience with whole-body control of legged systems;, • Experience combining classical control and learning in hybrid architectures;, • Exposure to state estimation and multi-sensor integration;, • Experience with contact-rich manipulation;, • Experience in /Exposure to construction robotics, heavy machinery or large-scale physical systems;, • Experience with safety certification of complex robotic systems operating in contact rich environments. We offer: • Chance to be a part of a large-scale project;, • Team driven by impactful cause;, • Hybrid format of work with the lab located in Park Royal;, • Private dental or full medical (dental treatments aren’t covered) insurance;, • Flexible working schedule;, • 28 days of annual leave. At All3, you’ll work on one of the hardest problems in robotics: combining dynamic locomotion and manipulation into a structured, deployable autonomy system. You’ll join a small, focused team building real machines for real environments - where physics matters, reliability matters and thoughtful engineering wins over hype.

Senior AI Engineer: Xcede have started working with a frontier AI lab who help large organisations design, build, and deploy real-world Generative AI systems. They work with very well-known brands and generate multi‑million‑pound revenues! Wanting to grow their UK team from 150 Engineers to 300, they urgently need new capable engineers. Their ideal candidate will have a software engineering background who is now an AI Engineer working with LLMs You will: • Design and build LLM-powered applications, • Develop Python-based microservices, • Build AI agents and workflows, • Integrate models into production systems, • Work on multiple client projects, • Lead delivery on some engagements, • Review code and mentor engineers Requirements: • At least 3 years enterprise experience, • Proficiency in LLM integration into applications, deployment and product ionisation, • Proficiency with python, • Having built microservices If you are interested in this or other AI Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com | 02074226861

Contract | Hybrid | 6 Months On-call shifts required The Role We are looking for a highly skilled HCL Commerce Specialized Engineer to join our team on a 6-month contract basis. In this role, you will support the stability, scalability, and continuous enhancement of enterprise commerce platforms operating within consumer retail and digital-first environments. You will play a key role in ensuring seamless customer journeys, supporting peak trading events, managing complex catalogues and order management systems, and driving platform modernization initiatives in cloud-based environments. Key Responsibilities • Design, develop, and maintain HCL Commerce / IBM WebSphere Commerce components and extensions, • Build and enhance backend services using Java, J2EE, Spring, Spring Boot, and REST APIs, • Ensure applications meet performance, scalability, availability, and security standards, • Diagnose and resolve complex issues across application, integration, and infrastructure layers, • Conduct root cause analysis (RCA) and implement long-term solutions, • Support SLA adherence and ITIL-based incident, problem, and change management processes, • Monitor logs, metrics, and system behaviour to proactively identify risks, • Manage HCL Commerce deployments within Azure environments, • Work with CI/CD tools and deployment pipelines including Jenkins, Git, and Docker, • Collaborate closely with DevOps teams for provisioning, releases, rollbacks, and platform improvements Essential Skills & Experience • Strong hands-on experience with HCL Commerce / IBM WebSphere Commerce architecture, • Proficiency in Java, J2EE, GraphQL, and RESTful APIs, • Experience with Spring / Spring Boot backend development, • Strong knowledge of relational databases, particularly Oracle, • Experience with tools such as Eclipse, RAD, Git, Splunk, Dynatrace, and New Relic, • Practical experience hosting commerce platforms on Azure, • Excellent analytical and problem-solving abilities, • Strong communication and stakeholder management skills, • Ability to work independently and take ownership of incidents and deliverables end-to-end Desirable Skills • Experience within Retail or eCommerce environments, • Knowledge of MongoDB and other NoSQL databases, • Experience working within Agile, Scrum, or Kanban delivery models

Senior Spacecraft Systems Engineer Location: London We’re working with a growing space engineering organisation delivering complex spacecraft missions across commercial and institutional programmes. They’re looking for a Senior Spacecraft Systems Engineer to lead mission definition, system architecture, and verification across the full spacecraft lifecycle from concept through to integration and validation. The Role • Define mission CONOPS and derive system requirements, • Lead mission analysis and spacecraft modelling, • Manage system budgets (mass, power, data, fuel), • Deliver mission-level V&V including FMECA, FTA, FDIR, • Support feasibility studies and bid activities, • Coordinate across subsystem teams (GNC, propulsion, comms, software), • Support integration and test activities What You’ll Need • Degree in Aerospace/Systems Engineering (or similar), • 5+ years’ space industry experience, • Strong background in system architecture and full project lifecycle, • Experience with spacecraft subsystems and mission-level V&V, • Understanding of AIT and end-of-life/debris considerations

Design Engineer (Electrical) – Data Centres London / European travel required We’re working in partnership with a long-standing client we’ve supported for over 5 years in building out a specialist design function to support their growing data centre portfolio across Europe. This organisation sits in a strong position within the market established and credible, yet still agile and not one of the largest global players. That balance means you’ll have visibility, autonomy, and the opportunity to make a real impact, rather than feeling like just another number in a large corporate structure. They are now looking to appoint a Design Engineer (Electrical) to take ownership of electrical design across complex, large-scale data centre projects, working from early development stages through to operational handover. You’ll act as a key technical authority, ensuring designs are robust, compliant, and aligned with both project requirements and customer expectations. This is a highly customer-facing role where your ability to communicate, influence, and translate complex technical concepts will be critical. Key Responsibilities • Lead electrical design coordination across data centre projects from concept through to completion, • Provide technical direction, ensuring alignment with project briefs and Basis of Design, • Act as the primary technical contact for customer RFP responses, • Produce and present technical solutions to customers and stakeholders, • Deliver weekly progress reports to senior leadership, highlighting key updates, risks, and achievements, • Support the integration of multi-disciplinary design elements to ensure seamless project delivery, • Maintain a strong focus on quality, safety, compliance, and customer satisfaction About You • Degree qualified in Electrical Engineering (Chartered or working towards), • 6–8 years’ experience in data centre design, engineering, or mission-critical infrastructure, • Strong technical understanding of MEP systems, MV/LV distribution, and relevant regulations, • Proven experience delivering feasibility studies, technical reports, and design reviews, • Confident communicator with the ability to engage technical and non-technical stakeholders, • Strong customer focus with the ability to manage complex technical queries, • Comfortable working in a fast-paced environment with international travel (approx. once per month across Europe) Why This Opportunity? • Work with an established data centre operator with a strong and growing European footprint, • Join a team we’ve helped build over the past 5+ years, with a clear focus on design excellence and customer collaboration, • Play a visible, influential role where your work directly impacts project outcomes and client relationships, • Be part of a business that values expertise, ownership, and long-term development rather than hierarchy

AI Engineer Location: Remote - Occasional travel to UK office hubs Salary: £60,000- £70,000 + excellent benefits I’m working with a well known and established charity as they continue a major transformation across Digital, Data & Technology, with AI, automation and modern workplace technology at the centre of their long-term strategy. They’re looking to hire an AI Engineer to join a newly established AI function focused on shaping how AI is adopted across the organisation. This is an opportunity to join right at the beginning of the journey and help build the foundations, frameworks and guardrails that will define AI delivery across the charity for years to come. The focus for the first 12 months will be heavily centred around Microsoft Copilot Studio, low-code AI development, governance, automation and integration across the Microsoft ecosystem. The AI Engineer should have experience in: • Strong experience with Microsoft Copilot Studio and the wider Microsoft stack, • Experience building AI agents, automations and integrations within Power Platform, • Experience with Azure technologies, • Understanding of AI governance, security, RBAC and AI guardrails, • Experience designing APIs, integrations and scalable AI workflows, • Strong stakeholder engagement and communication skills, • Exposure to Azure AI Foundry would be highly beneficial This is a fantastic opportunity to join an organisation at the beginning of its AI journey, where you’ll have real ownership, influence and the ability to shape how AI is delivered across a nationally recognised charity.

About the Company Applied Intuition is powering the future of physical AI. Founded in 2017, the company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition supports customers across automotive, defence, trucking, construction, mining, agriculture, robotics and other industries through tools and infrastructure, operating systems and autonomy. Our products help teams build, test and deploy autonomy across real-world systems. Applied Intuition is headquartered in Silicon Valley, with offices across the US, Europe and Asia, including London. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognise the importance of flexibility and trust employees to manage their schedules responsibly where needed. About the Role We are looking for a hands-on Systems Engineer to join Applied Intuition’s growing London team. This is not a traditional documentation-heavy systems engineering role. The role sits at the intersection of systems architecture, software engineering, hardware integration, simulation/testing and customer delivery. You will work on real-world autonomy and defence-related projects, helping design, integrate and deliver complex systems where software meets physical hardware. This could include supporting system architecture, building and integrating hardware/software environments, working with simulation and test systems, and engaging directly with customers to understand requirements and deliver technical outcomes. The ideal candidate will be systems-minded, but still genuinely hands-on with code. Strong C++ is preferred, although strong Python experience may also be relevant. You may have started your career in systems engineering, aerospace, defence, robotics, autonomy, UAS or mission systems, but will now be close enough to software to build, debug and contribute technically. Responsibilities • Own or contribute to systems architecture across complex autonomy and defence-related projects., • Work hands-on with software, ideally C++ or Python, to build, debug and support technical delivery., • Integrate software with real-world hardware, including sensors, compute, networking, embedded systems or physical test environments., • Support simulation, testing and deployment workflows across customer-facing projects., • Work directly with customers and external stakeholders to understand requirements, shape technical solutions and support delivery., • Collaborate closely with autonomy engineers, software engineers and wider technical teams., • Help build and integrate physical systems where required, such as deployable edge environments with screens, compute, networking and hardware used for simulation, testing and customer demonstrations., • Operate across a broad technical landscape, moving between architecture, integration, software, hardware and delivery depending on the project. Qualifications • 5+ years of relevant engineering experience., • Strong hands-on coding ability in C++ or Python, with C++ preferred., • Experience across systems architecture, systems integration or hardware/software integration., • Exposure to physical hardware, such as sensors, embedded systems, edge compute, robotics platforms, test rigs, displays, networking, cabling or compute hardware., • Experience in aerospace, defence, robotics, autonomy, UAS, mission systems, safety-critical or mission-critical environments., • The ability to work directly with customers, technical stakeholders or external partners., • Strong systems thinking and the ability to move between big-picture architecture and hands-on technical detail., • A broad, ambitious and practical engineering mindset., • The ability to work onsite in London 5 days a week. Required Skills • Experience working on defence or aerospace programmes., • Experience with robotics, autonomy, UAS/UAVs, mission systems or deployable systems., • Experience with simulation environments, test environments, field trials or customer demonstrations., • Exposure to edge compute, ruggedised hardware, command-and-control systems, control rooms or physical integration environments., • Experience working across requirements, architecture, integration, verification, validation or deployment., • Prior experience in a customer-facing technical role, such as solutions engineering, field engineering, forward-deployed engineering or technical architecture. Pay range and compensation package • Location: London, UK, • Working pattern: Onsite 5 days a week, • Compensation: Firmly in the six-figure range, • Employment type: Full-time Equal Opportunity Statement Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification, we encourage you to apply anyway. You may be the right candidate for this or another role at Applied Intuition.

About ARQ ARQ is one of the fastest-growing fintechs in the world. Our mission is to redefine how people interact with money across borders, building the infrastructure to move value seamlessly. We’re still early in our journey, which means every person who joins shapes the future of our product, culture, and growth. If you’re excited by big challenges, global impact, and the chance to grow fast with a world-class team, ARQ is the place to do it. What we're looking for As a Backend Engineer, you’ll design, develop, and maintain scalable, secure, and high-performing backend systems that power our innovative products. You’ll collaborate with a talented team to create solutions that drive financial inclusion and transform the way people manage their money. What you'll be doing • The work will focus on greenfield development and improvement of existing systems, • Projects will include building REST APIs, engineering microservices and evolving a number of systems that our business depends on (e.g. card payments, treasury management, transactions booking, crypto liquidity), • Our technology stack is based predominantly on Java 25 on the backend with Postgres database, • We rely on Spring Boot for quick and quality delivery, • We have a pragmatic approach to develop our business logic, focusing on clean code, with emphasis on maintainability and fast turnaround with TDD, DDD and continuous integration & delivery What you'll need • 5+ years of experience in Backend development, with fluency in Java, • Bachelor's Degree (or above) in Computer Science, Mathematics, Physics, or other Engineering / Science disciplines, • Quick learner with an ambitious and results driven personality, with excellent communication skills (english fluency, verbal and written), • Track record of building complex products that millions of people use in hypergrowth startups Benefits • Competitive salary, • Sign-on stock options bonus, so you become part of the success of the company, • Discretionary performance bonus (stock options), • Paid annual leave, • Own the development process that will face on the customer's impact, • Latest technology to work with, • Strong team that will help you improve your skills

Electrical, Instrumentation & Controls Engineer Brightsmith are pleased to partner with an innovative Hydrogen company developing pilot-scale sustainable process technologies. This hands-on role will focus on the design, implementation, and operation of electrical, instrumentation, and control systems for a first-of-a-kind pilot plant. Working closely with a multidisciplinary engineering team, you will support automation, sensor integration, commissioning, safety systems, and process scale-up activities. This opportunity is ideal for someone who enjoys practical engineering challenges within a fast-paced startup environment. What's in it for you: High impact role - You will play a key role in building and testing a First-of-its-Kind plant, and supporting the transition from early-stage development and beyond into larger scale commercialisation. Technology – You’ll have the opportunity to become an expert in the team’s patented technology, and work alongside some of the best in the industry. Autonomy and flexibility - Working within a team with a horizontal structure, you’ll have a lot of exposure to senior leadership, and enjoy the chance to make a meaningful impact in the energy transition Responsibilities: • Design and implement electrical, instrumentation, and control systems, • Develop PLC/IPC automation and control routines and integrate sensors, safety interlocks, and data acquisition systems, • Support pilot plant build, commissioning, troubleshooting, and operation, contributing to system reliability scale-up activities, • Collaborate across multidisciplinary engineering teams Requirements: Essential • 5+ years’ experience in electrical, controls, instrumentation, or automation engineering, • Experience within industrial, manufacturing, process, or chemical environments, • PLC/IPC programming and industrial automation experience, • Knowledge of UK engineering regulations and standards, • Experience with industrial process instrumentation and control hardware, • Strong problem-solving skills and ability to work in a startup environment Desirable • Siemens, Allen-Bradley, PLC, DCS, or SCADA experience, • Electrochemical, energy, or pilot plant experience, • IIoT, Python, JavaScript, or Node-RED experience, • Startup or scale-up environment experience If this role sounds like you, please apply below or reach out directly at a.knight@brightsmithgroup.com

Senior ICT & Security Engineer - London RED are an expanding international M&E consultancy, with a proven track record in low energy design, focused on providing excellent design solutions to clients. Through our market leading technical expertise, we enable the world’s digital infrastructure and develop the built environment whilst also helping clients realise ambitious plans for zero carbon-built environments. We cover the entire life cycle of any building project, with our broad capability offering saving our clients time, money, and effort. Our approach is centred around listening to our clients and interacting energetically with our fellow project stakeholders. We add value with our people, client service ethos, global delivery strategy, technical ability, and attitude. We now seek a Senior ICT & Security Engineer to be based in our London office. Role Responsibilities • Carries out cost and profit diagnosis on projects including feasibility studies and preparation of fee bids, • Reviews status advised by project personnel and external parties and modifies schedules or plans as required., • Prepares project reports for Management, Client or others., • Represents Company at technical meetings with customers, professional teams and contractors’ teams, • Support the delivery of projects in accordance with the expectations of the RED Project Delivery Process from a Project Management, Financial Management, QA/QC and Technical Review perspective, • Day to day decision making on project progress and direct liaison with, and provides advice to client, • Responsible for running of medium size projects., • Undertakes a client facing role in the development and design and coordination of engineering project services for ICT/Security installations, systems, equipment, facilities etc., • Responsible for technical content and accuracy of Trainee, Graduates and Engineers. Role Requirements • Engineering degree in appropriate ICT infrastructure engineering discipline, • At least 5 -10 years’ appropriate employment experience Relevant past employment examples: • IT/Multi-disciplinary consulting firm, • ICT consultancy and project management, • Security Consultancy, • Construction project management (with a technology emphasis), • Network technology vendor/manufacturer, • Network systems integration contractor, • Experience in ICT infrastructure, building ICT fit-out migration and occupation Ideally the candidate will have a technical understanding of the following: • Critical Facilities/Data Centre Design, • Campus Networks, • LAN Ethernet Switching, • Wi-Fi Network Communications, • Structured Cabling Systems, • Fibre Optic Networks, • Data Cabling Containment Systems, • Telecommunication Network Infrastructure and Services Benefits RED offers a variety of benefits, including but not limited to: • 23 days annual leave rising to 28 days annual leave over 5 years’ service, • Holiday purchase and buy back scheme, • Hybrid Working, • Contributory company pension scheme, • Healthcare Scheme (Company funded cover is dependant on level), • Non-contractual bonus awards, • Training sponsorship, • Charity volunteering leave, • Wellness days/ initiatives., • Salary commensurate with experience., • Our people work in friendly teams with a collaborative approach and mentoring support from talented leaders., • We offer a comprehensive benefits package and are an equal opportunities employer. *This role will ideally suit those with the right to live & work in the UK without restrictions.

Senior Javascript Engineer (Node.js / AI) | Publishing 📍 London (Hybrid – min. 1 day per week) 💰 Up to £80,000 (pro rata) 📄 6-month Fixed Term Contract We’re partnering with a well-established publishing organisation undergoing a major digital and AI-led transformation. With a strong global presence, they’re investing heavily in modern engineering and intelligent systems to reshape how content is created, discovered and delivered. They’re now looking for a Senior Backend Engineer with strong Node.js and AI integration experience to join on an initial 6-month FTC. The Role You’ll play a key role in building scalable backend services and AI-powered platforms, working on large-scale systems that power content and data experiences. This is a hands-on engineering role with exposure to cutting-edge AI workflows and distributed systems. You’ll: • Develop APIs and services using Node.js and TypeScript, • Contribute to scalable, distributed systems and cloud architecture (AWS), • Work with structured and unstructured data across varied storage solutions, • Build and integrate RAG pipelines and AI-driven workflows, • Implement LLM integration patterns and multi-step orchestration, • Collaborate with cross-functional teams to deliver robust, high-quality systems What They’re Looking For • Strong experience with Node.js and TypeScript in production, • Experience building scalable systems in AWS (or similar cloud platforms), • Solid understanding of data storage (MySQL, document stores, blob storage), • Hands-on experience with AI/LLM integrations, • Exposure to tools such as:, • Amazon Bedrock (or equivalent), • Vector/semantic search (e.g. OpenSearch), • Experience building AI-driven workflows and pipelines Why This Role? • Opportunity to contribute to a high-impact AI transformation project, • Work on real-world AI applications at scale, • Strong engineering environment with modern tooling, • Flexible hybrid setup (min. 1 day onsite in London) If you’re a backend engineer with AI experience looking for your next contract, this is a great opportunity to get stuck into a forward-thinking project quickly. 📩 Apply via the link or reach out for a confidential conversation.

Lead AI‑Enabled Software / DevOps Engineer Build the systems that make AI work in the real world We’re hiring a Lead AI‑Enabled Software / DevOps Engineer for a hands‑on technical leadership role shaping how AI integrates into modern software platforms. This isn’t experimentation — it’s about embedding AI into real, production systems that are secure, reliable, and built to last. 🔍 Why this role? You’ll sit at the intersection of software engineering, DevOps, and AI — modernising legacy systems and enabling API‑first, integration‑led architectures. ⚙️ What you’ll do • Lead the evolution of systems toward API‑driven, service‑based architectures, • Define how applications integrate with AI platforms and services, • Guide architecture, integration patterns, and platform design, • Ensure systems are secure, scalable, and production‑ready, • Work across engineering, data, and platform teams ✅ What you’ll bring • Strong background in software engineering / DevOps leadership, • Experience with APIs, microservices, and system design, • Proven ability to modernise legacy systems, • Solid skills in TypeScript and Python, • Pragmatic, outcome‑focused approach with strong technical judgement 👉 If you enjoy shaping how AI fits into real systems — not just building models — apply now.

Role Overview We are looking for a Senior Backend Engineer to join our London-based engineering team. This is a hands-on, high-impact role where you will help design and build the core services, APIs, and integrations that power our security platform, working closely with a globally distributed team. You will work closely with product managers, security analysts and fellow engineers to deliver reliable, scalable and observable systems. Alongside building high-quality software, you will also play a key role in shaping how the team uses modern AI coding tools to improve speed and productivity without compromising on quality, security or maintainability. This role is ideal for someone who enjoys working on distributed systems, takes pride in clean and well-tested code, and wants to contribute to a technically strong and collaborative engineering environment. This role is hybrid in our office in Blackfriars London. About SecurityHQ SecurityHQ is a global cybersecurity company. Our specialist teams design, engineer and manage solutions that do three things: Promote clarity and trust in a complex world. Build momentum around improving security posture. And increase the value of cybersecurity investment within organizations. Free from limitations, and inclusive of all requirements, we focus on defending today, while mitigating the risks of tomorrow. And into the future. Our solutions are tailored to our customers and their unique context. Around the clock, 365 days per year, our customers are never alone. SecurityHQ – We’re focused on engineering cybersecurity, by design. What You’ll Be Responsible For • Backend Engineering & Service Ownership, • Design, build and operate production-grade Python microservices using FastAPI and Django where appropriate, applying clean architecture and modern design principles., • Develop resilient APIs and distributed systems using async patterns and domain-driven design approaches., • Own services end-to-end, from design through to deployment and production support., • Event-Driven Architecture & Integrations, • Build and maintain event-driven workflows, designing for idempotency, retries, error handling and system resilience., • Develop integrations and messaging patterns that ensure scalable and reliable communication across services., • Cloud & Platform Engineering, • Deploy and operate services on AWS using technologies such as EKS, PostgreSQL, messaging systems and object storage., • Manage infrastructure through Terraform and contribute to a GitOps-based deployment model using GitHub Actions and FluxCD., • Collaboration & API Design, • Work closely with frontend engineers in an Angular microfrontend environment to design clean, well-versioned and user-friendly API contracts., • Participate in architecture design, code reviews and technical discussions, contributing to overall engineering quality and standards., • Quality, Testing & Observability, • Build and maintain comprehensive test suites including unit, integration, contract and end-to-end testing., • Ensure services are fully instrumented with logging, metrics and tracing to support observability in production., • Treat testing, monitoring and CI signals as essential components of delivery., • Agile Delivery & Continuous Improvement, • Contribute to agile ceremonies including refinement, estimation and retrospectives., • Support continuous improvement across engineering practices, ways of working and use of AI-assisted development tools. Technical Experience & Skills Essential • 5 or more years of backend engineering experience with Python as a primary language, delivering and operating services in production environments., • Strong experience with FastAPI or Django, including API design, async patterns, dependency management and authentication and authorisation., • Solid understanding of microservices and distributed systems, including service boundaries, resilience patterns and event-driven design., • Strong PostgreSQL experience, including schema design, indexing and performance optimisation., • Hands-on experience with AWS and containerised workloads, ideally using Kubernetes or EKS., • Experience with CI and CD pipelines, particularly GitHub Actions and GitOps approaches., • Strong foundations in testing, observability, security and technical documentation., • Excellent written communication skills across design documentation, PRs and incident reporting.

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

Senior Mechanical Design Engineer London - 3 days a week in office Outside IR35 An excellent opportunity has arisen for an experienced Mechanical Design Engineer to join a well-established building services consultancy in their London office on a contract basis, operating outside IR35. This hybrid role involves working within a multidisciplinary building services engineering team, contributing to the delivery of mechanical design solutions across a varied portfolio of projects. The successful candidate will play a key role in developing mechanical building services designs, producing technical documentation, and supporting coordinated BIM models. Based in their London offices with flexible hybrid working, this position offers the chance to be involved in high-quality projects alongside a team of experienced engineers and consultants. Key Responsibilities As a Mechanical Design Engineer, your responsibilities will include: • Delivering mechanical building services designs across a range of projects, • Producing mechanical schematics, layouts, and associated technical documentation, • Supporting project delivery across multiple RIBA design stages, • Collaborating closely with electrical engineers, structural engineers, and architects, • Assisting with BIM coordination and integration of multidisciplinary designs, • Preparing and reviewing technical drawings and design calculations, • Contributing to successful project delivery in line with quality, programme, and technical standards Requirements To be considered for this role, you should have: • Ability to design directly into REVIT, • Demonstrable experience as a Mechanical Design Engineer within the building services sector, • Strong understanding of mechanical building services systems, • Experience producing design calculations and technical drawings, • Proven experience working within multidisciplinary engineering teams, • Excellent communication and coordination skills, • Ability to support projects across multiple RIBA stages

Endpoint Engineer contract 12 months. The position can be based inside or Outside of IR35, depending on the candidate's setup. A leading Trading firm is hiring a contract Endpoint Engineer. This role is responsible for engineering, support, and lifecycle management of endpoint hardware, operating systems, applications, and associated management platforms. This includes solving critical business incidents, improving the end-user experience, and partnering closely with Traders, Service Desk personnel, and other infrastructure teams. A strong customer focus, an ownership mentality, an engineering mindset, and a sense of urgency are critical. • Troubleshoot and resolve complex endpoint, application, and user experience issues, particularly in high-speed, high-availability trading environments., • Support endpoint platforms and services across Windows and macOS, with a focus on reliability, standardisation, security, performance, and software lifecycle management., • Support and improve Microsoft Intune for endpoint configuration, compliance, patching, application deployment, device health, update rings, and policy management across physical and virtual endpoints., • Help implement, manage, and improve self-service software experience through Company Portal and related tooling, including packaging Win32 applications, defining detection rules, uninstall logic, supersedence, assignments, and app lifecycle governance., • Support and improve Microsoft Autopilot enrollment and provisioning workflows, including zero-touch deployment, enrollment profiles, device preparation, and integration with Microsoft Entra ID and Microsoft 365, in partnership with Windows Engineering., • Partner with engineering, security, and operations teams to implement improvements, support strategic initiatives, and maintain reliable endpoint services., • Apply an engineering approach and automation mindset to eliminate repetitive work, improve support response times, and increase platform reliability., • Develop and maintain automation and operational tooling to improve provisioning, software deployment, reporting, remediation, and endpoint administration., • Leverage AI tools and workflows to improve support operations, technical documentation, knowledge management, reporting, and user experience, while applying appropriate governance, validation, and security controls. Skills. • Highly proficient in administering Windows and macOS operating systems in an enterprise environment., • Experience with Microsoft Intune, including device configuration policies, compliance policies, Windows Update for Business, application deployment, reporting, and troubleshooting., • Experience with Microsoft Autopilot and modern Windows provisioning, including enrollment profiles, device registration, reset/redeployment workflows, and integration with Entra ID, Conditional Access, and Microsoft 365., • Experience designing and supporting self-service software deployment through Intune Company Portal or similar tools, including packaging, deployment targeting, dependency handling, detection methods, and uninstall workflows., • Experience handling users, groups, and devices within Microsoft Entra ID (Azure), Active Directory (AD), Microsoft 365, and Jamf for macOS., • Strong understanding of scripting and automation concepts used to improve endpoint administration, operational efficiency, and service delivery., • Demonstrable understanding of AI-enabled productivity and support use cases, such as summarisation, knowledge retrieval, workflow acceleration, and intelligent ticketing, with sound judgment around security and operational accuracy., • Strong technical writing, documentation, and communication skills, with the ability to create clear user-facing and operational documentation., • Experience with core networking concepts and troubleshooting, including DNS, DHCP, routing, switching, VPN connectivity, and latency-sensitive user workflows., • Ability to use data and reporting tools, including advanced Excel to analyze trends, measure outcomes, and support operational decisions., • Demonstrable understanding of virtualization technologies such as VMware and Citrix., • Solid understanding of Windows Server roles and enterprise services such as DNS, DHCP, Group Policy, file services, and endpoint security controls., • Strong experience with software packaging and deployment using tools such as Intune, SCCM, Altiris, or equivalent platforms., • Relevant certifications such as Microsoft, Jamf, VMware, Citrix, and networking are advantageous.

About us Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, an electric vehicle salary sacrifice scheme, stock options, and 25 days of annual leave (increasing with service), alongside flexible and hybrid working. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. About the role We have a brand‑new opportunity for a Senior or Principal Electrical Engineer to join our Science & Research team based in our London office. This is a great opportunity to join our Science & Research group. You will collaborate with specialist engineers and consultants on technically complex laboratory, research and innovation environments — including academic and public‑sector research facilities, bespoke end‑user laboratories, speculative commercial science buildings and R&D campuses. You will be part of a collaborative, highly knowledgeable team that combines a supportive and flexible culture with strong performance and a genuine passion for its work. This position is based in London, with opportunities to engage with colleagues across the wider business, including our long‑standing Oxford and Cambridge offices. These teams collaborate effectively on projects across the “Golden Triangle”, ensuring consistent delivery and shared expertise. As a Senior or Principal Engineer in the Science & Research team you will lead and deliver electrical designs for a wide range of science and research projects of varying scales and complexities. You will work within multidisciplinary project teams to produce robust, safe, efficient and innovative solutions that meet client briefs, regulatory standards and the specific needs of laboratory and research environments. A key part of the role is developing and mentoring a technically excellent, collaborative team. • Be responsible for the day-to-day technical delivery of the electrical design services for multi-disciplinary projects across several building sectors., • Lead the development of initial strategic concepts for projects ensuring solutions are appropriate for the brief and regulatory standards., • Interact regularly with internal and external stakeholders, ensuring a communicative, collaborative and timely approach to delivery This is a client-facing role, so you will be attending project meetings and disseminating/translating the brief within the project team., • Work with the team leader to help monitor fee expenditure, resources and work delivered., • Mentor and support our ‘next-gen’ professionals, including apprentices and graduates. About you To be successful for this role you’ll need: • Proven experience working as an Electrical Engineer (or in a closely related role) with a strong track record delivering a variety of complex projects — ideally including science, research or laboratory facilities where safety‑critical and highly‑reliable electrical systems are required., • Demonstrable experience of modern technical delivery processes and digital design tools, including BIM workflows and Revit. Familiarity with electrical design and analysis software such as Dialux/Relux and package tools for electrical schedules and outage/maintenance planning is expected., • Hands‑on experience specifying, designing or commissioning specialist electrical systems commonly used in science and research buildings — for example UPS and resilient power systems, generator/emergency power solutions, ring/main distribution, low‑voltage switchgear, isolated power systems, power quality and harmonic mitigation, and integration with BMS., • Knowledge of laboratory‑specific services and controls (e.g., cleanroom power distribution, fume cupboard exhaust power considerations, hazardous area classification and codes of practice, bonded earthing practices for sensitive equipment) or a willingness to rapidly develop this specialist knowledge., • Demonstrable experience working directly with clients, contractors and architects in a design‑consultant capacity — presenting technical solutions, translating client briefs into deliverable design packages, and supporting procurement/construction phases., • Strong technical documentation skills: preparation of electrical design reports, specifications, single‑line diagrams, schedules and tender documentation., • Excellent stakeholder and communication skills, with the ability to lead client meetings, co‑ordinate multidisciplinary teams and mentor junior engineers and apprentices. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact Jessicamartin@hoarelea.com. If shortlisted, one of our recruitment team will be in touch to arrange an introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. We aim to provide feedback at each stage of the process. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, _ Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list. #LI-HYBRID

The Role As a Simulation Software Engineer, you will own substantial parts of the simulation capability that makes continent-scale defence training feel like the real world - the behaviour and interactions of pedestrians, traffic, shipping, aircraft, satellites and critical national infrastructure that populate a scenario. This is the difference between an exercise that feels like a map overlay and one that reacts to a trainee’s decisions with the emergent complexity of actual people, systems and infrastructure. You’ll shape how simulated actors decide and act, how the simulation stays coherent when partitioned across a compute cluster, and how new LLM-backed capabilities - natural language control, richer actor generation and simulated social media - are brought into the engine. Your work will ship into customer exercises, live demonstrators and integration hackathons, where the loop between building something and watching users bend it to a real problem is measured in weeks, not quarters. You’ll work across a C++ simulation engine, a custom distribution framework, and a TypeScript/React front-end used by Simulation Operators, inside a cross-functional team of Software, QA and DevOps Engineers led by an Engineering Manager. The team is made up of experienced simulation engineers looking for a peer who can bring energy, technical leadership and a product engineering mindset. If you enjoy moving between specialisms, raising the bar for the people around you, and shipping real things for users who depend on them, this is a role where your voice will carry real weight. Key Responsibilities • Design and implement behaviour and decision-making logic for simulated entities - pedestrians, vehicles, shipping and aircraft - in a C++ simulation engine., • Integrate third-party simulation libraries and algorithms, maintaining enough technical intuition for their internals to combine them into a coherent system., • Shape how simulation state and behaviour are partitioned across a distribution framework, designing for IPC, bandwidth and fidelity trade-offs up front rather than retrofitting them., • Contribute across the web/simulation boundary, extending REST services and the TypeScript/React front-end where features reach into them., • Write design documentation and run design reviews within your area, helping the team converge on technical direction quickly., • Review peers’ designs and code with care, and collaborate with Product and defence stakeholders to turn customer problems into feature shapes., • Mentor teammates through pairing, code review and knowledge sharing - raising the team’s capability in simulation craft, product engineering practice and defence domain understanding., • Deploy and support simulation capability on-site at customer exercises, integration hackathons and industry events - working issues live alongside users and folding what you learn back into the product. Skills, Knowledge and Experience • 4+ years of software engineering experience., • Experience working on behavioural or agent-based simulation of people, crowds or vehicles, such as game AI, VFX crowd simulation, industrial human behaviour simulation or defence CGF., • Strong C++ experience for performance-sensitive, real-time systems., • Working knowledge of spatial data structures, path planning, decision modelling and physical modelling of vehicle movement., • Ability to reason about distributed simulation design - IPC, bandwidth and how to split a simulation domain across processes without breaking its behaviour., • Ability to move comfortably between languages and layers of the stack., • A communicative, proactive style - visible in discussions, willing to challenge and be challenged, and able to draw contributions out of teammates., • A product engineering mindset: energised by understanding customer problems and shipping things that create real value., • Comfortable multiplying yourself with AI-assisted development workflows., • Able to obtain and maintain UK Security Vetted status to at least SC level., • Prepared to attend an office in London at least once a week. What Will Help You Stand Out • Hands-on experience exposing LLM-enabled product features, such as natural language interfaces, content generation or agent behaviour driven by language models., • Rust experience, particularly for distributed or systems-level work., • Knowledge of geospatial concepts and experience processing map data into representations suitable for simulation., • Familiarity with the defence sector, military modelling and simulation, or wargaming., • Exposure to Kubernetes for compute cluster orchestration., • Prior experience as a tech lead or similar, with an interest in that pathway as the team grows., • Interest in travelling to customer sites, hackathons and industry events.

Company Overview: ANRA Technologies is a global leader in airspace, mission, and traffic management software (UTM/ATM/AAM), powering the safe integration of uncrewed and autonomous aircraft into global airspace. Our award-winning SaaS platforms are trusted by Air Navigation Service Providers (ANSPs), regulators, defense agencies, and enterprise operators to enable scalable, compliant, and data-driven drone and Advanced Air Mobility (AAM) operations worldwide. Job Description We are hiring a DevOps Engineer with 3–5 years of hands-on experience in CI/CD, cloud infrastructure, automation, and containerized environments. If you are passionate about building scalable, secure, and highly available systems, we’d love to connect! Key Responsibilities • Design and maintain CI/CD pipelines using Jenkins,ensuring reliable deployments across environments, • Build and manage scalable infrastructure on Amazon Web Services (AWS) ensuring reliability and cost efficiency, • Implement Infrastructure as Code using Terraform, AWS CloudFormation, and Ansible, • Deploy, manage,and orchestrate containers using Docker,Kubernetes and Rancher, • Set up monitoring & alerting with Nagios, Prometheus, and Grafana, • Develop automation scripts in Bash, PowerShell, and Python, • Administer Linux & Windows servers, • Troubleshoot, resolve and prevent production issues by implementing security best practices across infrastructure Required Skills • Strong scripting and programming skills in Python or Bash, • Experience building & managing CI/CD pipelines, • Strong AWS architecture knowledge, • Hands-on experience with containerization & orchestration, • Experience with monitoring and observability tools, • Solid understanding of infrastructure security Qualifications • Bachelor’s degree in Computer Science or equivalent, • Experience with large-scale distributed systems, • Strong communication & problem-solving skills, • Quick learner with adaptability to new technologies, • No visa sponsorship required

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

🚀 Embedded Software Engineer | Medical Devices | Linux + C++ | Hybrid (3 Days Onsite) Planet Pharma are looking for a highly skilled Embedded Software Engineer to join an innovative team developing next-generation medical and computing devices used in hospital operating rooms. This is a hands-on engineering role focused on embedded Linux systems, hardware integration, and low-level software development within a multidisciplinary environment spanning embedded systems, cloud platforms, computer vision, and application software. 🔧 What You’ll Be Doing: • Developing and productizing embedded software for custom hardware platforms, • Working closely with hardware teams on kernel/driver compatibility, • Architecting, debugging, and testing hardware-dependent software applications, • Supporting Linux kernel, device trees, drivers, and system services, • Conducting code reviews and contributing to deployment infrastructure, • Participating in security, compliance, verification, and risk analysis activities, • Supporting manufacturing and design transfer processes for medical-grade systems ✅ Must-Have Experience: • Strong Embedded Software Engineering background, • Expert-level C/C++ experience (C++20 preferred; C++11/14 acceptable), • Strong recent Linux experience, • Linux kernel/device driver expertise (V4L2, I2C, SPI, UART, etc.), • System bring-up and hardware integration experience, • Experience with Yocto, Buildroot, or similar Linux build systems, • Networking knowledge and shell scripting skills, • Comfortable working close to hardware and reading schematics/datasheets ⭐ Nice to Have: • Video streaming/video processing experience, • Camera sensors, codecs, or streaming protocols, • NVIDIA platforms, • Python, AWS, automated testing, • OTA update mechanisms, • Security concepts and safety-critical/medical device development 📍 Hybrid Working: This role requires 3 days per week onsite in the office — this is a firm requirement. 🎯 Interview Process: • 2 interview stages, • Technical assessment If you enjoy solving complex embedded challenges and building robust real-world systems, we’d love to hear from you.

Senior Software Engineer – Perm £85,000 base + Benefits package 3 days in London based office required We are working with a well established exciting client that are interested in candidates who have solid experience in working on full-stack (frontend and backend), and who cover the following skills and experience. • Strong experience designing and building scalable full-stack web applications using TypeScript/React and C#/.NET (or equivalent technologies)., • Deep understanding of core software engineering principles, including design patterns, modular architecture, and maintainable, testable code., • Proven ability to design, build, and evolve RESTful APIs and microservices, with a focus on performance, scalability, and reliability., • Experience leading the architecture of end-to-end systems, spanning frontend, backend, and data layers, with clear separation of concerns., • Strong experience working with distributed systems, managing complex data flows, integrations, and service-to-service communication., • Hands-on experience with cloud platforms (Azure preferred; AWS or GCP acceptable), including compute, serverless, messaging, storage, and identity/access management., • Familiarity with containerisation (Docker, Kubernetes) and modern deployment patterns, including microservices and serverless architectures., • Experience implementing CI/CD pipelines, automated testing (unit and integration), and Infrastructure as Code (e.g., Terraform or equivalent)., • Strong understanding of database design and data access patterns, across both relational and NoSQL technologies., • Proven experience working in Agile environments, contributing to engineering best practices, code reviews, and mentoring engineers., • Experience leveraging AI-assisted development tools to enhance delivery while maintaining high standards of quality and engineering discipline. A degree in Computer Science, Software Engineering, or equivalent practical experience If you have these skills & experience then please pass your cv to me today, shane.hickmott@thejssgroup.com

About the Company PSR Rail Team are recruiting for a Senior Design Manager in London. This will be working for a reputable contractor who operate within the Rail, Civils and M&E sector. Please see more info below! About the Role The Senior Design Manager is responsible for leading the design function across major infrastructure and engineering projects, ensuring the successful delivery of compliant, efficient, and innovative design solutions. The role supports complex programmes within sectors such as rail, energy, and large-scale M&E installations. Responsibilities • Lead and manage multidisciplinary design teams across multiple projects or major programmes., • Take ownership of the full design lifecycle, from concept and feasibility through detailed design to construction support and handover., • Ensure all design outputs meet relevant standards, including client, regulatory, and industry requirements., • Act as the primary point of contact for all design-related matters with clients, consultants, subcontractors, and internal stakeholders., • Develop and manage design delivery programmes aligned with project schedules., • Oversee design reviews, approvals, and technical assurance processes., • Identify and manage design risks, implementing mitigation strategies where required., • Drive value engineering and innovation to improve cost efficiency, safety, and constructability., • Ensure effective integration and coordination across all engineering disciplines (M&E, civil, systems)., • Support procurement processes by reviewing and approving supplier and subcontractor designs., • Lead design coordination meetings, workshops, and stakeholder reviews., • Mentor and develop design managers, engineers, and junior staff. Qualifications • Degree-qualified in Engineering (Electrical, Mechanical, Civil, or related discipline)., • Extensive experience in design management within infrastructure, construction, or engineering environments., • Strong background in delivering complex projects within sectors such as rail, energy, or utilities., • Demonstrable experience managing multidisciplinary design teams., • In-depth knowledge of UK standards and design assurance processes (e.g., Network Rail, TfL, National Grid)., • Experience with digital engineering tools, including BIM and design coordination platforms., • Excellent communication, leadership, and stakeholder management skills., • Strong commercial awareness and understanding of project delivery constraints. Required Skills • Strategic leadership and decision-making, • Technical excellence and attention to detail, • Risk management and problem-solving, • Collaboration and stakeholder engagement, • Ability to manage multiple complex workstreams Preferred Skills • Chartered Engineer (CEng) status or working towards it, • Experience in rail electrification, power systems, or large-scale M&E delivery, • Familiarity with NEC contracts and project delivery frameworks Pay range and compensation package Please contact Dan Confrey at PSR Solutions for more information! Equal Opportunity Statement PSR Solutions is committed to diversity and inclusivity in the workplace.

FPGA Engineers We have had a new Contract opportunity on one of our SOW's for an FPGA Engineer at our leading service companies London site ( they specialise in Defence systems). A fair bit of design work is to be done so expect responsibilities to include concept development for complex functions and systems, FPGA design and analysis, production of material for design reviews, development of test planning, integration, design verification, and ensuring that all firmware designs follow processes. Contracts Overview: Hybrid working £70-90 per hour SC clearance or clearable

Network & Communications Installation Engineer - I have an exciting opportunity for an experienced network & telecom engineer to work alongside the Project Manager and Engineering teams on high end residential projects. You will work with the latest technologies, influence design and deliver systems to the highest quality. You will be responsible for consulting on design, configuring network hardware, commissioning, and delivery of a projects Network and telecommunications systems. It is essential that you are an excellent communicator with good Client facing skills and have strong Network Engineering experience and excellent knowledge of wireless networks, fibre optics and telecoms solutions. This is a field-based and onsite based role. Key technical skills: • CCNA Certified., • Excellent working knowledge and experience of:, • Networks and Network architecture, • Wireless network deployment and management, LAN Controller setup and commissioning for wireless networks, • Session Initiated Protocol (SIP) and IP Telephone systems, • WAN Traffic Management and Path Selector configuration, such as, Kerio, Peplink, Sophos and Cisco, • Wi-Fi coverage analysis & mapping/heatmaps, • Firewall configuration and implementation, • Fault finding and commissioning skills are compulsory, • Use of hand tools, network & telecom test equipment, • Microsoft products such as Word, Excel and MS 365 suite Key attributes: • Good Time Management Skills with the ability to work on your own initiative in a well organised and efficient manner, • Managing relationships and interfaces with other contractors, • Team player with ability to identify engineer weaknesses and offer guidance and assistance, • Experience of supervising in the superyacht market or a relevant complimentary industry, • Monitoring and reporting project progress to the Project Manager, • Accuracy & management of project documentation, • An eye for detail and a good understanding of quality control, • Excellent communication skills on a technical and personal level, • Proven track record for completing projects on time and on budget, • Punctual, smart and can represent the company in meetings to client representatives This is predominantly an office based role in LONDON with site visits to clients homes. If you have the desire or previous experience to work on some of the largest most technically advanced residential integration projects in the world then please send your full matching CV. DUE TO THE NATURE OF THE ROLE THERE IS NO SPONSORSHIP ON OFFER NETWORK DATA INSTALLATION CONFIGURATION COMMS COMMUNICATIONS CISCO CCNA CCNP LONDON WAN WIFI WI-FI RUCKUS DRAYTEK HOME AUTOMATION CI CUSTOM INSTALLATION

Senior Hardware Engineer (3 month FTC - paternity cover) London (twice a month in London HQ) c.£70,000 (pro-rata) Talentedge Tech are working exclusively with a very interesting London based Consumer Tech business. We're looking for extra hands on deck in the form of a Senior Hardware Engineer to help with some business critical HW releases. This is a hands-on, high-impact 3-month contract focused on supporting the final development and launch of new products. You won’t be owning a full product area, instead, you’ll act as a highly capable “force multiplier” across the team, picking up well-defined technical problems and driving them through to completion. Think: less long-term roadmap, more “what needs solving right now to ship great hardware?” What you’ll be doing: Over your 3 months, you’ll work closely with hardware, firmware, and manufacturing partners to: • Validate and debug hardware circuits across late-stage product development, • Support hardware–firmware integration and feature bring-up, • Investigate and resolve issues discovered during testing and manufacturing, • Collaborate with OS/firmware teams to unblock system-level challenges, • Assist with compliance and certification-related engineering tasks, • Work with external manufacturing partners to close out final issues pre-production You’ll be given clearly scoped problems and the autonomy to run with them. What we’re looking for: We’re after someone who can hit the ground running with minimal hand-holding. • Strong fundamentals in electronics and hardware design, • Proven experience in hands-on hardware development, validation, and debugging, • Comfortable working independently and owning technical tasks end-to-end, • Experience collaborating across hardware, firmware, and manufacturing teams, • Practical lab skills (e.g. scopes, power supplies, soldering, bring-up/debug) Nice to have: • Consumer electronics experience, • Audio, wireless, or power system exposure, • Experience working with contract manufacturers How they work: • Remote-first, but the HW team meet in London roughly twice a month, • Flexible, pragmatic, and focused on outcomes, • A team of experienced engineers who trust each other to get things done They'll make sure you have the equipment you need to do your best work. This is a great fit if you: • Enjoy hands-on engineering over process and meetings, • Like solving real problems in the final stretch before launch, • Want to make a meaningful impact in a short space of time, • Prefer autonomy and ownership over rigid structure The details: • Salary: ~£70,000 pro rata (3-month FTC), • Start date: June 2026 (flexible for the right person), • Duration: 3 months (fixed term) Sound like you? Apply now!

Role Overview We are looking for an experienced and highly motivated Hardware/Design Verification Engineer to join a high-performance semiconductor verification team. This is an Individual Contributor (IC) role focused on verification of next-generation high-speed controller IPs and subsystems including PCIe, DDR/LPDDR, CXL, Ethernet, and AMBA-based peripherals. The ideal candidate will have strong expertise in UVM/SystemVerilog-based verification methodologies, hands-on experience with complex HPC protocols, and the ability to independently develop, execute, and debug verification environments and test cases. Key Responsibilities • Develop and execute verification plans for complex controller/IP verification projects., • Build and enhance UVM/SystemVerilog-based verification environments., • Create reusable testbenches, sequences, scoreboards, checkers, assertions, and coverage models., • Define, develop, and execute new test cases from scratch., • Work on verification of high-speed protocols such as:, • PCIe (Gen5/Gen6/Gen7), • CXL, • DDR / LPDDR, • High-Speed Ethernet, • AMBA peripherals, • Utilize protocol VIPs effectively for simulation and validation activities., • Perform debugging, root-cause analysis, and issue resolution independently., • Collaborate with design, architecture, and validation teams to ensure functional correctness and coverage closure., • Support regression execution, coverage analysis, and verification sign-off activities., • Work with Synopsys simulation tools and verification flows. Required Skills & Qualifications • Strong hands-on experience in:, • SystemVerilog (SV), • UVM methodology, • Experience with one or more complex HPC protocols:, • PCIe, • DDR / LPDDR, • Ethernet, • CXL, • Good understanding of protocol VIP integration and usage., • Experience in writing and debugging complex test cases independently., • Strong debugging and problem-solving skills., • Familiarity with coverage-driven verification methodologies., • Ability to work effectively within a collaborative team environment while maintaining autonomous debug capability., • Experience with Synopsys simulators and verification flows. Preferred Skills • Knowledge of assertion-based verification (SVA)., • Exposure to performance verification and stress testing., • Experience with AMBA protocols and subsystem verification., • Familiarity with scripting languages such as Python, Perl, or Shell scripting. Education • Bachelor’s or Master’s degree in Electronics, Electrical Engineering, Computer Engineering, or related field.

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

AI Engineer — Speech & Voice Intelligence Company: CNTXT Type: Full-time Location: Remote-friendly / Hybrid About CNTXT CNTXT is building voice AI infrastructure for the Arabic-speaking world. We work on the hard problems — natural speech synthesis, real-time transcription, and conversational voice systems — with a focus on Arabic language quality that actually serves the region's speakers. The Role We're looking for an AI engineer or researcher who is passionate about voice and speech technology. You'll work directly on the models and systems that power our speech products — evaluating architectures, running fine-tuning experiments, and shipping improvements to production. This is a hands-on role that sits at the intersection of research and engineering. What Our Team Works On Speech Synthesis (TTS) We build and fine-tune Arabic TTS systems based on state-of-the-art generative architectures — both autoregressive models that generate speech token by token and non-autoregressive models that produce full utterances in parallel. This includes working with neural vocoders (HiFi-GAN, MelGAN, WaveGlow), audio codecs and tokenizers (EnCodec, DAC, RVQ-based systems), acoustic encoders (HuBERT, wav2vec), and diffusion-based audio decoders. A significant focus is voice cloning and zero-shot speaker adaptation for Arabic voices. Speech Recognition (ASR) We work with encoder-decoder and CTC-based ASR models (Whisper, Conformer, wav2vec 2.0) to build accurate, low-latency Arabic transcription. This includes streaming inference, domain adaptation, and language model integration for Arabic dialect robustness. Speech-to-Speech We are building end-to-end voice interaction pipelines that chain ASR, language understanding, and TTS — with hard constraints on latency. This involves voice activity detection (VAD), speaker diarization, speech enhancement, and optimizing the full stack for real-time performance. Arabic Language Challenges Arabic presents unique challenges across the whole stack: diacritization (tashkil) is critical for TTS pronunciation accuracy, dialect variation (MSA, Gulf, Levantine, Egyptian, Maghrebi) affects both synthesis and recognition quality, and training data for many dialects remains scarce. A big part of our work is closing these gaps. What You'll Work On • Benchmark and evaluate TTS and ASR models on Arabic test sets — measuring WER, speaker similarity (SIM), naturalness, and dialect coverage across MSA and regional varieties, • Fine-tune pretrained TTS models on curated Arabic data — including ablations on diacritized vs. undiacritized input, dialect-specific training splits, and voice prompt conditioning, • Experiment with audio tokenizer and codec configurations — comparing discrete RVQ representations against continuous latent approaches and their effect on Arabic phoneme accuracy, • Build and maintain Arabic speech data pipelines — audio sourcing, normalization, diacritization, quality filtering, and manifest generation for model training, • Optimize models for production serving — streaming chunk generation, KV cache tuning, quantization, and batched inference for low-latency Arabic TTS and ASR, • Evaluate and adapt speech-to-speech pipelines — integrating ASR, LLM, and TTS components with attention to end-to-end latency and Arabic conversational quality What We're Looking For • Strong foundations in machine learning and deep learning, • Hands-on experience training or fine-tuning neural models — domain matters less than depth, • Comfortable with Python, PyTorch, and the HuggingFace ecosystem, • Able to read research papers and translate ideas into experiments independently, • Clear communicator who can work across research and engineering Nice to Have • Native or fluent Arabic speaker — a real advantage when evaluating synthesis naturalness and dialect quality, • Prior work with speech or audio models (ASR, TTS, speaker verification, codec, VAD, enhancement, or similar), • Familiarity with Arabic linguistic structure, diacritization tools, and NLP preprocessing for Arabic, • Experience with inference optimization — quantization, speculative decoding, CUDA kernels, or serving frameworks (vLLM, TensorRT), • Publications or open-source contributions in speech or audio What We Offer • Work at the frontier of Arabic voice AI — a genuinely underserved, high-impact area, • Direct influence on product and research direction, • Small, focused team — your work ships and matters, • Competitive compensation and remote flexibility

Senior Software Engineer | ~£950/day Outside IR35 | 6-months initial contract | London Industry: Trading Location: London Job Type: Contract - 6-month initial Our client is building the next generation of execution and order management (EMS/OMS) infrastructure for global commodities trading. You will join a small, fast-moving engineering team designing and delivering a cloud-native trading platform from the ground up, tightly integrated with risk, pricing, and market data systems to support high-performance trading environments. This is a senior, hands-on role for an engineer who wants end-to-end ownership — from low-level protocol integration through to distributed execution services and trader-facing tooling. What You’ll Be Doing • Design and build core components of a modern EMS/OMS platform, including order routing, order lifecycle management, venue connectivity, and execution analytics., • Implement and maintain FIX protocol and venue-specific integrations across exchanges, brokers, and liquidity providers in commodities markets., • Develop low-latency, distributed execution services with a strong focus on correctness, resilience, and performance under load., • Collaborate closely with traders, quants, and risk engineers to translate trading workflows and execution strategies into robust production systems., • Ensure seamless integration with risk systems, including pre-trade checks, position tracking, and post-trade processing. Requirements Essential • Proven experience building execution systems and/or order management systems in production., • Strong systems engineering fundamentals, including concurrency, distributed systems, networking, performance, and correctness under pressure., • Production experience in at least one of C++, Rust, or Python, with willingness to work across multiple languages., • Demonstrated ability to deliver production systems with a strong bias towards shipping, iteration, and user feedback., • Comfortable working in a collaborative environment with direct engagement between engineers, traders, and quants., • Experience working in cloud-native environments, particularly Kubernetes-based architectures., • Familiarity with distributed data and event-driven systems (e.g. Kafka-style messaging patterns)., • Experience with observability, monitoring, testing, and production incident response in live systems. Highly Desirable • Experience in commodities markets (energy, metals, agriculture, freight) or other complex, multi-venue asset classes., • Deep understanding of the FIX protocol, including session handling, message customisation, and venue-specific behaviour., • Experience with algorithmic trading systems, smart order routing, or execution algorithm development., • Exposure to real-time risk systems, including pre-trade controls and position/PnL infrastructure., • Experience with columnar databases such as ClickHouse.

BMS Engineer 📍 London | Hybrid / Flexible Working 🚆 Major Rail & Infrastructure Projects 💼 Competitive Salary + Bonus + Growth Opportunity A fast-growth engineering consultancy delivering complex infrastructure systems across the UK is looking for a talented BMS Engineer to join its expanding London team. This business is already making serious waves within rail and infrastructure, delivering rebuilds, upgrades and extensions from a communications and systems integration perspective. Backed by an inspirational leadership team with a proven track record of scaling businesses successfully, the company has grown rapidly and shows no signs of slowing down. With a growing project portfolio including major rail frameworks and high-profile infrastructure programmes, this is an opportunity to join a business early in its growth journey and genuinely shape its future. The Role This position sits at the intersection of mechanical systems, building management systems and systems engineering. You’ll focus on the integration of Siemens BMS technologies, ensuring critical mechanical assets can communicate effectively within wider building and infrastructure systems. This is not a controls algorithm programming role — it’s about understanding system interfaces, protocols and integration requirements early in the design lifecycle. You’ll be involved in: • Designing and integrating BMS-connected mechanical systems, • Working with HVAC systems, AHUs, chillers, heat pumps and cooling systems, • Reviewing supplier equipment compatibility with communication protocols such as BACnet and Modbus, • Identifying integration risks early and proposing technical solutions, • Supporting the development of cohesive smart building and energy management systems, • Working closely with mechanical, electrical and project delivery teams across major infrastructure projects Ideal Background We’re looking for engineers with experience across: • BMS / BEMS design and systems integration, • Siemens Desigo or similar BMS platforms, • HVAC and mechanical building systems, • BACnet, Modbus, OPC UA and building automation protocols, • Smart buildings and connected infrastructure, • AutoCAD, Revit, EPLAN or MicroStation, • Energy management and building performance optimisation, • Technical coordination across multidisciplinary teams Experience within rail, infrastructure, transport or large-scale building projects would be highly beneficial. Why Join? • Flexible and hybrid working, • Rapidly growing consultancy with genuine career progression, • Opportunity to influence business growth and technical direction, • Exciting rail and infrastructure project portfolio, • Collaborative and highly entrepreneurial culture, • Strong leadership with a proven history of scaling successful engineering businesses 📩 Interested in hearing more? Apply now or reach out directly for a confidential conversation.

Introduction to Team The Product Team creates high-quality end-to-end experiences for travelers, partners, and Expedia Group. Our focus on customer-centric innovation enables us to develop products that build loyalty and repeat business. We partner closely with teams across Expedia Group to drive growth and achieve results for our customers and the company. This Principal Android Engineer sits within the Search and Recommendations Experience team which owns the end-to-end search and recommendations experience, including search entry, results, maps, filters, and recommendations across multiple lines of business such as lodging, cars, activities, flights and packages. In this role, you will provide technical leadership for native search and discovery experiences, setting architectural direction, influencing engineering standards, and shaping the evolution of AI-enabled capabilities across the mobile platform. In this role, you will: • Architect, design, and deliver advanced Android mobile solutions, ensuring scalability, performance, and maintainability across Expedia Group’s travel platforms., • Lead technical direction for multi-service and cross-domain initiatives, influencing architectural decisions and setting coding standards., • Develop system designs, low-level designs (LLD), robust APIs, and data models that support seamless integration with internal and external services., • Mentor and guide mobile engineers across teams, fostering technical excellence, code quality, and knowledge sharing., • Safely integrate and operate AI/ML-enabled solutions that improve mobile user experiences and business outcomes., • Collaborate with product, design, and engineering stakeholders to deliver innovative mobile features and drive technical strategy across the organisation. Minimum Qualifications: • Bachelor’s degree in Computer Science or a related technical field; or equivalent related professional experience., • 12+ years of relevant professional experience., • Proven expertise in designing and delivering complex Android mobile applications at scale, including system and API design., • Extensive experience leading architecture and technical direction for multi-service, cross-domain, or organisational mobile initiatives., • Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products. Preferred Qualifications: • Strong proficiency in Kotlin, • Advanced proficiency with Jetpack components/Jetpack Compose, Android UI/UX best practices, and performance optimisation, • Deep understanding of Android app architecture patterns (e.g., MVVM, MVI, MVP), • Prior experience in the search domain or travel industry, such as building or scaling search, discovery in consumer mobile apps., • Experience establishing technical strategy, best practices, and operational excellence for organisational mobile platforms., • Advanced knowledge of integrating AI/ML capabilities into mobile products to enhance functionality and user engagement., • Demonstrated experience collaborating within large, globally dispersed development teams, • Expertise in cross-platform or multi-domain engineering, contributing to broad technical initiatives

🔥 Who We Are At , we relentlessly drive innovation in AI, building the world's leading . We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join and help shape the future of . 🌎 Location and Legalities This full-time LLM Engineer position is based onsite in our brand-new _ in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of with our state-of-the-art technologies. Key responsibilities include: • Developing and scaling robust LLM-powered applications using a variety of APIs, including , , and _., • Implementing and managing multi-API workflows using tools like _ to ensure flexibility and resilience., • Building sophisticated systems, leveraging advanced techniques like embeddings with , rerankers, and query enrichment., • Designing and maintaining efficient data pipelines and vector storage solutions using _ Atlas Vector Search., • Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related to our _ and user support., • Collaborating with our development team to explore and build innovative ., • Automating deployment and testing processes using with . Your work will directly enhance the _ platform and empower our global community of developers and researchers. 🛠️ Skills and Experience • 5+ years of experience in software engineering, with a strong focus on AI and _., • Expert-level proficiency in and deep learning frameworks, particularly ., • Proven experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek., • Hands-on experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like _., • Practical knowledge of _, prompt engineering, and performance optimization., • Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions., • A strong interest in and an understanding of object detection models like is a significant plus., • Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our . Our thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits • Competitive Salary: Highly competitive based on experience., • Startup Equity: Participate directly in our company's growth and success., • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote., • Generous Time Off: 24 days vacation, your birthday off, plus local holidays., • Flexible Hours: Tailor your working hours to suit your productivity., • Tech: Engage with cutting-edge and contribute to leading software., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate _. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, _ offers an exceptional career opportunity.

📍 Location: London (Hybrid – 3 days onsite) NES Fircroft is partnering with an innovative, cutting-edge organisation developing advanced computing and medical technologies for operating room environments. We are looking for a Senior Embedded Linux Engineer to join a highly multidisciplinary team delivering next-generation solutions. You will play a key role in building and optimising software systems for complex, hardware-integrated platforms in a highly regulated, safety-critical environment. Key Responsibilities • Collaborate within cross-functional teams (embedded software, application software, computer vision, cloud), • Develop and productize custom computing and medical devices, • Build, maintain, and optimize Linux kernels and device drivers, • Architect, develop, test, and debug system-level software, • Lead and participate in code reviews for embedded systems, • Enhance software infrastructure for smooth deployment, • Ensure compliance with security and regulatory standards, • Perform risk analysis, verification testing, and design transfer activities, • Drive robust, secure-by-design software development practices Must-Have Skills & Experience • Degree in Computer, Electrical, or Electronics Engineering (or equivalent), • Strong experience with Linux kernel, device drivers (V4L2, I2C, SPI, UART) and device trees, • Expertise in C/C++ and shell scripting, • Experience with Yocto, Buildroot, or similar Linux build systems, • Proven track record in hardware integration and system bring-up, • Solid understanding of networking and system-level Linux components, • Experience with OTA updates in embedded systems, • Strong knowledge of security concepts (e.g., cryptographic key management, root of trust), • Familiarity with Linux diagnostics, benchmarking tools, and electronics schematics, • Excellent communication skills and ability to work in complex environments Nice to Have • Python programming, • Experience with NVIDIA platforms or microcontrollers, • Knowledge of AWS or cloud environments, • Experience with automated testing, • Background in video processing, streaming, or camera systems, • Experience in medical devices or safety-critical systems, • Remote device management experience IMPORTANT INFORMATION This is a urgent hire so candidates without notice will be given priority so please make this visible on your application. You must have strong Emdebbed Linux and device driver experience and if this is not seen on your application you will not be selected to move forward. Initial contract is for 6 months with possibility of extension for another 6 months.

Role: Verification & Validation Engineer - Defence Location: South West London - Hybrid As a Verification & Validation Engineer, you will play a key role in ensuring the performance, safety and compliance of software and hardware products within the defence industry. You will work with Software and Systems teams, supporting the delivery of complex, multi-domain command and control systems. Responsibilities • Promote best practice throughout the Verification & Validation engineering lifecycle, ensuring compliance with defence industry standards., • Plan, execute and report on V&V activities using approved tools, methods and processes., • Lead/supervise engineers to support the delivery of defined work packages., • Contribute to project documentation, including requirements, design estimates, management plans, metrics and technical reviews., • Participate in design reviews, risk reviews, integration, acceptance and diagnostic testing activities. Requirements • Degree, HND, HNC or equivalent experience in Systems Engineering, Software, Control Systems Engineering or a related discipline., • 5+ years of experience planning and delivering Verification & Validation activities within a systems engineering environment., • Experience working within a highly regulated environment, i.e. Aerospace, Defence, Automotive etc., • Experience using IBM DOORS or similar., • Ability to mentor, supervise and support junior engineers., • Due to the nature of the work, applicants MUST be sole British Nationals for Security Clearance.

Based in West London, this is an outstanding opportunity for a Mixed-Signal IC Design Engineer to join an exciting BioTech start-up that will transform the lives of millions of people. Visas sponsored. The impact that our client’s technology will have on the healthcare industry can’t be underestimated. Having already won awards for their Semiconductor solutions, our client is expanding their silicon team and seeks a Mixed-Signal IC Design Engineer to help them achieve their goal of delivering chip-based solutions for neurological conditions. The Mixed-Signal IC Design Engineer will work alongside the CTO and technical lead on the full IC design flow process from concept, architecture and specification, through to integration, tapeout and post-silicon testing. You will be learning from experienced chartered engineers, and work at the heart of innovation and product development for cutting-edge circuits. The right candidate will have: • A Master's or PhD in Microelectronics or related field, • Several years of industry experience in analogue/mixed-signal IC design, • Expert knowledge of low-power CMOS design, • A keen start-up mentality and an interest in the biomedical field Any prior knowledge or experience within neuroscience or neural signal processing would be great (but not an essential). Power management experience would also be useful. Any previous experience of working within a start-up and wearing many hats would be a real plus. Our client offers fascinating opportunities to passionate individuals who are committed to making an impact. Visa sponsorship and relocation assistance can also be provided if needed. Apply today! Contact Caroline Pye.

Verification & Validation Engineer Location: New Malden (hybrid) Salary: £55,000 - £65,000 What’s your possible? At Northrop Grumman UK, you are part of a team driving innovation where it matters most – solving tomorrow’s challenges and shaping the technology solutions of the future. It’s what we call Defining Possible. This mindset goes beyond our customer solutions; it’s the foundation for your career development and the impact we have within the community. The Opportunity This is more than just a job; it’s a mission. As a Verification & Validation Engineer, you will play a pivotal role in proving the performance, safety and compliance of our software and hardware products. You’ll work within a multi‑disciplined project environment, supporting planning, execution and reporting of Verification & Validation activities that enable critical UK defence capabilities. You’ll be part of our UK Defence business – a sovereign software and systems centre of excellence delivering complex, multi‑domain command and control systems. Our work forms an essential backbone of the Royal Navy and wider mission systems, and you’ll join a team that thrives on curiosity, collaboration and innovation. What You’ll Be Doing • Promoting best practice across the Verification & Validation engineering lifecycle in line with corporate and industry standards., • Planning, conducting and reporting Verification & Validation activities using approved methods, tools and processes., • Leading or supervising engineers to ensure effective delivery of scoped work packages., • Contributing to project artefacts such as requirements inputs, design estimates, management plans, metrics and reviews., • Participating in design reviews, risk reviews, integration, acceptance and diagnostic test activities., • Managing defect investigation, issue resolution and progress reporting to programme stakeholders., • Applying IVVTQA principles and supporting systems engineering activities across requirements, design, integration, Verification & Validation and acceptance stages. What We’re Looking For Essential: • Degree, HND, HNC or equivalent experience in Systems Engineering, Software Engineering, Control Systems Engineering or similar field., • Significant experience (5+ years) in planning and delivering IVVTQA / Verification & Validation activities within a systems engineering lifecycle., • Competence in using DOORS or similar requirements and test management tools., • Experience applying Verification & Validation processes aligned to defence, military or recognised industry standards., • Ability to supervise, coach and support junior engineers., • Strong analytical and problem‑solving skills, including root cause analysis and development of effective remediation actions. Preferred: • Experience working within complex, safety‑critical or regulated engineering environments., • Exposure to multi‑domain mission systems, naval systems or command and control solutions. If you don’t meet every requirement, we still encourage you to apply. We hire for potential as well as experience. Security Clearance Due to the nature of our work, you must be a UK national to meet security requirements. You must be able to obtain and maintain SC (Security Check) clearance. Our recruitment team is here to help guide you through the process: talentenquiries@uk.ngc.com Benefits • Flexible and hybrid working options, including the option of a compressed fortnight., • Private healthcare and a comprehensive cash health plan., • Holiday buy/sell scheme., • Career development programmes and mentoring., • Performance-related bonuses. Why Join Us? A Mission to Believe In Every day we contribute to building a more secure and connected world across land, sea, air, space and cyberspace. From advanced maritime systems to multi‑domain command and control, your work will help shape the future of national security. A Place to Belong and Thrive We’re committed to an inclusive culture where every voice matters. From our Employee Resource Groups to partnerships with organisations such as Women in Defence, AFBE and Mind, we’re building a workplace where you can bring your authentic self. Your Career, Your Way With diverse roles, technical pathways, mentorship and tailored career development, you can shape your career in the way that works for you. We also offer flexibility to help balance life, wellbeing and work commitments. Ready to Apply? Yes: Submit your application online today. Possibly: Reach out to our team for a confidential chat – talentenquiries@uk.ngc.com No: Explore more opportunities with Northrop Grumman UK. We’re growing across the country