System engineer jobs in Reino Unido

Freedom Professional Services are looking for a Principal Primary Design Engineer to join our growing team and work on an array of complex and challenging engineering projects, helping to deliver the country’s Net Zero targets! Our projects span the complete energy system from generation, transmis

Compressed Air Service Engineer North London & Hertfordshire OR Essex & East London Full time, permanent Monday - Friday Salary: £35,000 £45,000 (DOE) Our client is a well-established specialist provider of compressed air, vacuum and gas generation solutions. They support customers across a wide range of industries with system design, installation, servicing, breakdown support and energy-efficient co... ZIPC1_UKTJ

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

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

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

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

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

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

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

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

BEMS Service & Small Works Engineer - West London We are seeking an experienced and motivated BEMS Service / Small Works Engineer to join our growing team. This role is suited to a technically strong engineer with proven experience in service, fault diagnosis, commissioning of small works, system modifications, and performance optimisation within Building Energy Management Systems. You will work acr... * ZIPC1_UKTJ

Our client is a deep-tech pioneer who has created an all-optical networking platform, replacing traditional electronic switches with light, transforming AI training. They are looking for a Senior Optical System Engineer with an excitement for transformative technology to come and join their team. Responsibilities: • Create and run test plans for high-speed optical transceivers from prototype through... ZIPC1_UKTJ

Fire Alarm Engineer Job Description: Job Overview We are seeking a skilled and detail-oriented Fire Alarm Engineer to join our team. The ideal candidate will possess a strong background in fire protection systems and engineering principles, with expertise in system design, installation, and inspection. This role requires proficiency in reading blueprints and schematics, as well as hands-on experience... ZIPC1_UKTJ

R9 Recruitment are currently in the need of a Domestic Gas Engineer for a Heating Contractor Client to cover the DA Postcode area. Role: Domestic Gas Service and Repair PAYE Engineer Basic Salary - £40k - £45k + Call out required every 1 in 4 weeks Potential earnings of £50k+ p/a Responsibilities: Diagnose and repair heating system faultsPerform annual Gas Safety Checks (LGSR)Provide excellent tenant s... ZIPC1_UKTJ

My client is a leading BMS (Building Management System) company in the London area, who are looking to bring on board a project engineer to work on the projects they have ongoing within the London area.As a BMS Project Engineer, you will be responsible for designing, engineering, and commissioning b

Ensure that inspection and test plans are completed as required by the PMP / Specification, including a check of dimension accuracy and quality * Degree (or equivalent) in Electrical Power Engineering. Principal HV Cable System Design Engineer Jacobs is playing a leading role in the global energy tr

Ensuring correct and accurate interface with other engineering functions involved in the projects, attend, and conduct internal and external meetings with colleagues, clients, and subcontractors. Advise engineers on setting out methods and techniques. Prepare written risk assessments and method stat

Lead AI Engineer – Next-Gen Predictive Intelligence Platform Startup / AI / Product / Financial Services Central London (2–3 days in office) | £100k-£120k base + strong equity A high-growth FinTech startup in London is building an AI-powered Predictive Intelligence Platform for corporates and financial institutions. Their technology connects market events, client data, and emerging opportunities through advanced agentic AI and RAG-based systems, helping financial institutions anticipate client needs before they arise. They have built a live MVP in record time, with enterprise client demos underway, and are now hiring a Lead AI Engineer to join as permanent hire number four in the founding technology team. This is a rare opportunity to join at the inflection point — a hands-on, high-ownership, high-impact role where you’ll shape the AI core of a company redefining predictive intelligence in finance. Role Overview Reporting directly to the CTO, you’ll lead the design and productionisation of the company’s core AI systems. You will architect, implement, evaluate, and scale RAG pipelines, agentic workflows, and LLM-based intelligence frameworks, driving real-world impact across financial markets. The role is approximately 80% hands-on and 20% strategic, covering Python engineering, system architecture, and model evaluation, while collaborating closely with product and domain experts. Key Responsibilities • Build and deploy RAG pipelines, agentic AI workflows, and LLM integration frameworks, • Own AI evaluation, guardrails, and observability systems, • Translate financial workflows into scalable AI capabilities, • Collaborate directly with the CTO and external development teams, • Help shape the AI roadmap and mentor future hires About You • Strong experience in LLM engineering, RAG systems, prompt orchestration, and agentic architectures, • Proven experience delivering ML/AI systems into production environments, • Excellent Python engineering and system design skills, • Familiarity with APIs, MLOps, and cloud deployment (AWS, GCP, or Azure), • Clear communicator, comfortable in fast-paced, early-stage environments, • STEM degree required; MSc in AI, Computer Science, or a related field preferred, • You have experience in financial services/regulated industry, • You have B2B experience What’s on Offer • £100k-£120k base salary plus meaningful equity, • Join at ground level (hire number four) with real ownership and influence, • Work with an exceptional founding team from top-tier consulting, technology, and finance backgrounds, • Hybrid working model: 2–3 days a week in Central London, • Visa sponsorship not available

Do you want to be a founding engineer building production AI agents that handle real customer conversations? Have you ever owned a system end-to-end, from backend design to live deployment? Are you ready to help scale an AI product already live with real users in healthcare? A high-growth, pre-seed AI startup in healthcare is hiring a Founding Senior Software AI Engineer to help scale its AI platform. The product is already live in sites across the UK. This is a true founding-level role: you’ll work directly with the founding team, own major systems end-to-end alongside the CTO, and help define how AI agents are designed, deployed, and iterated in production. Role summary You’ll be a senior, hands-on engineer responsible for building scalable backend systems and deploying applied AI capabilities (LLMs, agentic workflows, voice + messaging). You’ll operate with high autonomy and strong product ownership. Key responsibilities • Build and scale backend services in Python (AWS), • Own production integrations (telephony/voice, WhatsApp, email), • Develop and improve LLM agent workflows (frameworks a plus), • Implement reliability, monitoring, evaluation and QA practices, • Work end-to-end: scoping, delivery, deployment and iteration, • Collaborate directly with founders on product and technical direction Requirements • 5-6+ years commercial software engineering experience (Python), • Strong AWS experience (production systems), • Real exposure to AI/LLM systems in industry (not purely academic), • Independent, proactive, high ownership mindset, • Strong communication and stakeholder skills, • Computer science degree preferred Nice to have • Experience with LangGraph / agent frameworks, • Twilio / voice systems / communications tooling, • WhatsApp / messaging platform integrations, • Start-up experience or strong side projects showing “spikes” Key details • Title: Founding Senior Software Engineer, • Salary: up to £120,000 + equity, • Location: Central London, • Working model: On-site 5 days/week, • Tech: Python, AWS, TypeScript/React, LLM frameworks, • Visa sponsorship: Not available Interested? Please apply below.

AI Engineer [Analyst/Associate] About the job As an AI engineer on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care about impact: people who want to see their models not just trained, but deployed, adopted, and driving measurable results. What You’ll Do • Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance., • Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value., • Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering, and rapid iteration are key to creating business value., • Leverage modern tools and methods: Use contemporary ML frameworks, cloud platforms, and MLOps best practices to build scalable, reusable solutions., • Communicate insights clearly: Distill complex technical findings into concise, actionable narratives for technical and business audiences alike., • Keep learning and pushing boundaries: Expand your engineering toolkit across the full ML development lifecycle—from prototyping to deployment—and explore new architectures, tools, and approaches to solving complex, real-world problems. Sample Projects You’ll Work On • Generative AI for due diligence: Lead the rollout of our in-house GenAI platform across investment desks to automate and accelerate due diligence. You’ll configure and extend the system for desk-specific processes, run proof-of-value pilots, measure business impact, and collaborate closely with users to drive adoption and effectiveness., • Automated Deal Sourcing Workflows: Prototype experimental systems to automate early-stage deal sourcing. You’ll build integrations to extract signals from public and proprietary data sources, integrate with third-party APIs to enrich lead information, and integrate with in-house GenAI platform to create a structured data asset. This includes designing modular components for adaptability across investment strategies, running pilot deployments, and collaborating with users to refine workflows and measure sourcing efficiency. Your Experience We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization., • Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains:, • Data science stack: NumPy, pandas / polars, scikit-learn, XGBoost, LightGBM, • Deep learning: PyTorch, JAX, • Statistical programming: NumPyro, PyMC, • Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modeling workflows., • ML Ops & deployment: Familiarity with deploying models into production using APIs or microservices, and applying ML Ops practices such as experiment tracking (e.g., MLflow, Weights & Biases), model versioning, and performance monitoring. Experience collaborating with engineering teams to ensure scalable and maintainable deployment., • Backend & service development: Experience building production-grade Python webservices (e.g., FastAPI, Flask), developing APIs, and integrating ML components into broader systems., • Software engineering practices: Comfortable with testing, code reviews, CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases., • Infrastructure & cloud: Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform., • Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus., • Collaboration and impact: Strong problem-solving ability, intellectual curiosity, and a pragmatic approach to delivering solutions that create measurable business value, while remaining statistically robust. About Us We are a new, but growing team of AI specialists - data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

Degree in Electrical/Power Systems Engineering (BEng/MSc/PhD) or equivalent.

They are looking for a Power System Engineer on a fully remote contract to start in February, details below:. Degree in Electrical/Power Systems Engineering (BEng/MSc/PhD) or equivalent.

Radio Field Engineer Location: London Permanent Salary: £40,000 - 70,000 (DOE) Role Overview We are seeking a skilled and proactive Radio Field Engineer to design, deploy, and maintain high-performance radio communication systems. This role involves hands-on engineering work, RF planning and optimisation, system testing, and close collaboration with internal teams and external stakeholders. The successful candidate will play a key role in ensuring reliable, secure, and compliant communication networks across a variety of projects. Key Responsibilities System Design and Implementation • Design, develop, and implement radio communication systems in line with project requirements., • Conduct RF site surveys to identify optimal locations for communication equipment., • Perform spectrum analysis and optimise frequency allocation to reduce interference and improve performance. Network Configuration and Maintenance • Configure and maintain radio communication networks, including base stations, antennas, and associated equipment., • Monitor network performance and carry out routine maintenance., • Diagnose and resolve faults to maintain system reliability and availability. Testing and Evaluation • Test and evaluate radio communication equipment to ensure compliance with industry standards and technical specifications., • Develop and execute test plans and procedures for new installations and system upgrades. Documentation and Training • Produce and maintain comprehensive technical documentation, including system specifications, network diagrams, and configuration records., • Provide technical documentation and training to end-users and support teams as required. Security and Compliance • Implement appropriate security measures to protect radio communication systems from unauthorised access., • Ensure all systems comply with relevant industry regulations, standards, and best practices. Collaboration and Communication • Work closely with engineers, project managers, and other stakeholders to understand project requirements and constraints., • Communicate clearly and effectively, providing project updates and addressing technical or operational concerns. What We Offer • Company vehicle, • Laptop and mobile phone, • Overtime, overnight, and on-call payments, • Medicash healthcare access, • Opportunity to work on varied and technically challenging projects

Building Services Engineer We are working alongside a global leader who partner some of the world’s largest organisations, delivering first class, integrated Facilities Management and Workplace Management solutions. Our client supports organisations around the world to develop, implement and manage their Integrated Facilities and Workplace Management strategies. Our client can provide you with a genuine opportunity to work with a progressive and innovative employer. They are a business pushing to the front of the Integrated Workplace and FM services world. You will make enduring professional relationships; you will work alongside some of the best professionals in the business. If you are focused on aspiration, they will embrace that. More than anything else, they are a people business, their business is their people. Our client is committed to creating a diverse and inclusive culture where you will feel welcomed, valued and empowered to achieve your full potential. This role ensures the efficient operation and maintenance of building services providing reactive and planned maintenance, support critical systems (including basic UPS and STS units), and ensure a safe, comfortable environment for occupants. Key Responsibilities • Perform planned preventative maintenance (PPM) and reactive tasks on HVAC, lighting and electrical systems., • Respond to site reactive repair work orders within the contractual SLA, including escalating to sub-contractors for resolution where required., • Monitor and operate Building Management Systems (BMS) for alarms and performance adjustments., • Carry out basic fault-finding and repairs on LV electrical systems, fan coil units (FCUs), VAVs, and chilled water circuits., • Support and maintain small-scale UPS and STS systems, including routine checks and simple switching operations., • Respond promptly to breakdowns and emergencies within agreed SLAs, ensuring critical environment protocols are followed., • Ensure compliance with health and safety procedures, including permit-to-work systems and critical environment standards., • Liaise with tenants and the facilities team to communicate building issues and planned works., • Supervise contractors and ensure quality and safety standards are met. Follow the vendor permit to work system creating and issuing permits as required., • Participate in emergency response drills and support business continuity plans for critical systems. Skills and Experience sought: • Recognized apprenticeship or equivalent qualification in electrical or mechanical engineering., • Experience in building services maintenance., • Good understanding of HVAC systems and basic controls., • Familiarity with BMS operation and fault diagnosis., • Basic knowledge of UPS systems and electrical switching., • Strong IT literacy for reporting and system updates., • Health & Safety awareness (IOSH Managing Safely Certification qualification or similar desirable)., • Awareness of critical environment protocols and emergency response procedures. Sound like you ? then please get in touch ! My client is an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. D E & I is engrained in their DNA. 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 please contact us on

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced Full-stack Engineer seeking new and exciting opportunities? While we may not have an immediate vacancy, we’re always on the lookout for talented individuals to join our Talent Pool. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For We want to connect with Full-stack Engineers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • Experience in front-end development, with expertise in frameworks such as React., • Experience in Python development (e.g., using FastAPI) for backend services., • Comfortable working with modern, cloud-native technologies and continuous deployment practices., • Strong skills in JavaScript/TypeScript and similar., • Understanding best practices for scalable, maintainable code and automated testing., • Curious, collaborative, and passionate about applying technology to improve health outcomes., • Familiarity with agile methodologies and ability to thrive in collaborative, iterative environments., • Experience in AI/ML or life sciences is a plus, but not required - what matters most is a commitment to continuous learning and a desire to make an impact. What You Might Be Doing As an Full-stack Engineer at GSK, you could get involved with: • Developing front-end applications and interactive data visualizations., • Integrating AI/ML components with backend systems and data pipelines., • Building and maintaining cloud-based infrastructure for large-scale applications., • Collaborating with designers and scientists to create intuitive user experiences., • Driving best practices in software development, testing, and deployment. Why Join Our Talent Pool? • Be the first to hear about new full-stack roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced Back-end Engineer seeking new and exciting opportunities? While we may not have an immediate vacancy, we’re always on the lookout for talented individuals to join our Talent Pool. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For We want to connect with Back-end Engineers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering) or equivalent professional experience., • Strong Python skills, with experience in back-end development and unit testing., • Familiarity with generative AI concepts, particularly Large Language Models., • Experience with cloud platforms (Google Cloud preferred), including core web application infrastructure., • Knowledge of agile practices and ability to thrive in collaborative, iterative environments., • Proficiency with modern development tools and workflows (e.g., git/GitHub, DevOps practices), with a mindset of commit early and deploy often., • Understanding of web development best practices, modern design principles, and continuous integration workflows., • Experience with automated testing tools and building robust test suites. What You Might Be Doing As an Back-end Engineer at GSK, you could get involved with: • Backend development for Python-based web applications., • Integration of AI/ML components with backend systems, data pipelines, and compute infrastructure., • Delivering high-quality implementations following best practices, including automated testing and documentation., • Participating in code reviews and collaborating with technical teams across disciplines., • Supporting evaluations and insights on generative AI datasets. Why Join Our Talent Pool? • Be the first to hear about new back-end roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

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

Senior Quality Engineer Location: Old Oak Common, West London Permanent, Full Time We are seeking an experienced Senior Design Engineer to join our Structural Team, working on major infrastructure projects. This role involves leading and managing complex structural design projects, providing technical expertise, and mentoring junior engineers. You will play a key role in delivering safe, efficient, and innovative solutions to the highest standards. Duties: • Support development, documentation and ongoing maintenance of the Quality (& Construction Assurance) Plan (supported the QCAH Manager and other team members) to meet relevant requirements (including ISO 9001) and associated procedures, • Provide appropriate input and support for development and ongoing maintenance of other plans & procedures, • Contribute to development and maintenance of a risk-based audit schedule, • Support the Quality Manager and QCAH Manager to ensure a specific, relevant, and comprehensive set of subcontract requirements relevant to quality and construction assurance have been incorporated within each tender package., • Provide appropriate and proactive support working collaboratively with the project team, suppliers and others to ensure requirements have been met and authorisation can be given for works to commence by the required date.This included development and agreement by relevant parties of suitably comprehensive Inspection & Test Plans and corresponding items (e.g. checklists)., • Work collaboratively with the Project Team, suppliers and other interested parties to maintain the system of progressive assurance for the works including benchmarking, inspection, and documentation, • Champion implementation and enforcement of the Quality Procedures (including Quality Control system), • Complete detailed investigations with respect to quality incidents to determine the facts and root cause(s) including issue of corresponding report and associate recommendations, • Support the project team in dealing with external auditing governing bodies to maintain relevant certification, • Support development and implementation of the platforms (e.g. Business Collaborator) used for day to day management of the IMS Person Specification • Previous experience in a quality control role on a major infrastructure project, preferably rail., • In-depth knowledge of BIM, the contextual requirement for BIM Level 2 and its connection to the Government Construction Strategy and Industrial Strategy 2025, • Membership of the Chartered Quality Institute or Institution of Civil Engineers is desirable.

BMS Static Engineer Are you a skilled BMS Service Engineer looking to step away from the constant travel and take on a static site-based role? This is a fantastic opportunity to join a leading building management systems specialist, working on a prestigious site in Central London. You’ll be responsible for maintaining, optimising, and fault-finding on a range of BMS and control systems to ensure building performance, comfort, and energy efficiency remain at their best. Central London • £50,000 - £60,000, • Company Bonus, • Company Vehicle, • Expenses Covered, • On Call Rota, • Overtime Possibilities, • Pension, • Private Healthcare, • Yearly Appraisal Responsibilities: • Day-to-day service, maintenance, and fault-finding of BMS systems, • Carrying out routine checks, diagnostics, and minor upgrades, • Supporting energy performance and system optimisation initiatives, • Working closely with on-site teams to ensure smooth system operation, • Identifying potential system improvements and supporting upgrade works Desired Experience: • Proven experience as a BMS Service Engineer, • Strong knowledge of Trend, Tridium, or Siemens systems (any manufacturer experience considered), • Confident in fault-finding, adjustments, and software interrogation, • Excellent communication and customer-facing skills, • Based within commutable distance to Central London What’s On Offer: • Static site – no long-distance travel, • Competitive salary and package, • Training and development opportunities, • Work on a landmark building with cutting-edge technology

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

We are looking for a DevOps Engineer to join our team and actively engage with and support DevOps technology adoption and modernization by all application development teams at the firm. The candidate will provide implementation and support services for our existing and prospective DevOps technology stack, as well as work directly with developers to improve their overall experience and productivity via implementing our DevOps tools and processes. Additionally, the candidate will focus on modernization efforts, including the use of containers and container orchestration systems. The role will also work closely with the Cloud Engineering and Security groups to ensure that our DevOps technologies continue to support our cloud adoption, primarily via AWS and Azure. Responsibilities include: • Implement and maintain the system stability, security, and performance of on-premise DevOps tools, including Atlassian's suite (Jira, Confluence, Bitbucket, Bamboo), JFrog, and others., • Design and maintain scalable and reliable CI/CD pipelines to support software development and deployment processes across a wide range of technologies, including both native and containerized applications written in Java, C++, Python and other languages, including container deployment to Kubernetes., • Collaborate with application teams to integrate DevOps tools and methodologies into existing workflows, as well as containerize existing native applications., • Develop automation scripts and frameworks to streamline development and operational tasks., • Centrally monitor and manage code repositories, build systems, and deployment environments., • Provide technical guidance and support to development teams regarding DevOps best practices., • Evaluate and implement new DevOps tools and technologies. Requirements: • 4-6 years of proven experience in managing on-premise versions of DevOps tools, particularly Atlassian's suite and JFrog, as well as designing CI/CD systems involving both native and containerized applications, including deploying containerized applications onto Kubernetes., • Strong understanding of CI/CD principles and experience with pipeline design and implementation, especially with Atlassian Bamboo and Jenkins., • Strong proficiency in scripting languages such as Python, Bash, or PowerShell., • Solid understanding of version control systems, particularly Git., • Moderate proficiency in Java and C++, especially for basic code comprehension and ecosystem tooling (e.g. package management and compilation), • Moderate proficiency in infrastructure as code and configuration management tools such as Terraform and Ansible, as well as similar tools in the Kubernetes ecosystem including Helm and ArgoCD., • Excellent problem-solving skills and the ability to work independently or as part of a team., • Strong communication and collaboration skills to effectively interact with various stakeholders within the organization.

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

Senior Integrated Logistics Support Engineer This role sits at the heart of major UK defence programmes, helping ensure complex systems are supported, sustained, and future-proofed. You’ll play a key role in shaping long-term support strategies while influencing how critical platforms perform throughout their lifecycle. Role Overview: • Location: London (hybrid working available), • Package: Generous Salary + bonus & benefits, • Industry: Defence / Engineering / Systems & Software What You’ll Be Doing: • Delivering Integrated Logistics Support across complex defence engineering programmes, • Assessing the impact of design and system changes on long-term support solutions, • Leading and contributing to analyses including FMECA, LORA, LCCA and PHS&T, • Supporting training, disposal planning, and hazardous material considerations, • Producing ILS management plans aligned with defence standards and business strategy, • Driving proactive and reactive obsolescence activities across system lifecycles, • Identifying spares strategies in line with MoD policy and NATO codification, • Supporting reliability modelling, maintenance policy development, and RCM activity, • Contributing to bid work, shaping estimates, and challenging customer requirements, • Championing the value of ILS across engineering, delivery, and customer teams Main Skills Needed: • Proven ILS or support engineering experience within the UK defence environment, • Engineering degree or equivalent experience (HNC Level 4 or above), • Strong understanding of UK Defence Standards and relevant international standards, • Experience supporting maritime surface or sub-surface platforms, • Exposure to control systems and software-focused support environments, • Working knowledge of obsolescence management and lifecycle support principles What’s in It for You: • Flexible and hybrid working, including optional compressed weeks, • Private healthcare, performance-related bonus, and strong pension offering, • Career development opportunities across large-scale, high-impact programmes, • Exposure to nationally critical systems with long-term investment and stability, • Support with relocation and the opportunity to work on genuinely meaningful projects Call to Action: If you’re nodding along, let’s take the next step. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

Software Engineer (Contract) – Python / FastAPI.Month Contract - Fully Remote Daily Rate: £500 Outside IR35.AWS Software Engineer (contractors).Identity & Access Management (IAM) system into production.Python developers who enjoy building production systems from the ground up and working independ

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

About PRODA At PRODA () we are building software to unlock the full potential of Real Estate Data no matter the asset class, language, or country of origin. Our solution leverages the latest technologies to automatically capture, standardise and quality check Real Estate data into a single, clean source of truth. The goal is to empower real estate professionals to quickly gain actionable insights from their data and to enable the effective use of software. Despite being the biggest asset class in the world, the commercial real estate industry relies on excel & PDF “Rent Roll” documents as the primary means of exchanging data. These files are frequently inconsistent, inaccurate, and inaccessible, posing challenges for real estate professionals. Through automated data capture, standardisation, and analysis, PRODA can: · Build repositories of clean, standardised data · Increase process efficiency, through faster report generation · Improve data-driven decision making, by ensuring the accuracy of input data Furthermore, PRODA easily integrates with existing systems, to ensure consistent dataflow through the whole organisation. Founded in 2017 by Charles and Peter, two former Real Estate Finance Investment professionals, PRODA is now 66 people strong, and is looking to expand rapidly following a successful Series A raise in Q2 2022. PRODA has a strong globally recognised client base with an even better sales pipeline. We are looking for you to join us on our exciting journey delivering best-in-class software to the Commercial Real Estate market globally. Role We are looking for a Software Engineer to join the team at PRODA that works on the automatic extraction, classification, standardisation and validation of financial data documents in commercial real estate. We encourage candidates of all experience levels to apply, including recent graduates and those with several years of relevant work experience. Responsibilities • Develop flows for extraction of data from financial documents in PDF and Excel formats., • Work with a generalised data model, and a process to convert extracted data into that using standardisation and validation steps., • Drive the development of automation with a focus on enhancing speed, accuracy, and applicability., • Stay abreast with emerging technologies and industry trends in financial data reporting and requirements of clients., • Clearly and concisely communicate findings and recommendations to both technical and non-technical stakeholders. Required Skills & Qualifications • Bachelor’s degree in computer science, mathematics, physics or another relevant STEM discipline., • Proven experience in solving complex problems, ideally in data extraction and modelling., • Comfortable solving problems at every level, from algorithms and data structures to system design., • Expertise in Python., • Experience of full-stack development., • Ability to work independently as well as part of a collaborative team., • Strong project management skills with the ability to meet deadlines. Preferred Skills & Qualifications • Experience with TypeScript and React., • Experience with cloud platforms. What We Offer • Opportunity to learn and grow in a fast-paced, cutting-edge environment., • Access to the latest technology and tools to make you productive, including the latest MacBooks, along with AI tooling., • A supportive environment with a focus on professional development and growth., • A culture that values simplicity and efficiency in solving problems and delivering solutions. Working at PRODA As a rapidly growing SaaS business, life at PRODA is fast-paced and collaborative. Our day-to-day work is solving interesting problems using smart technologies, and we pride ourselves on an environment where we can rapidly develop new skills, learn from each other, and truly see the impact of our work. We believe that our product is transformative, and we work hard to ensure it reaches its potential. Our team is our greatest asset: we are a close-knit group who pull together to achieve our goals, but we also have fun! Further to a strong team environment, working at PRODA offers the following amenities: • Flexible Hybrid working options, • Stock Options in the Business, • 25 days base holiday, • Full zero-excess Private Health & Dental Insurance, Includes Couple and Family plans, • Generous Pension Schemes, • Opportunities for Professional Development + Learning Sessions PRODA treats people fairly. We are an equal opportunities employer and view all applications equally, regardless of gender, colour, ethnic background, religion, disability, age, sexual orientation, gender reassignment or marital/family status.

Company Description Amplytic is building an AI asset manager for renewable energy portfolios across wind, solar, and storage. It creates a structured understanding of each asset by linking operational data, commercial contracts, and regulatory rules through an ontology-led intelligence layer. This gives owners and managers clear, reliable answers on obligations, performance, risks, and required actions. Amplytic also automates the routine work that slows asset management down: tracking contract duties, identifying compliance items, checking revenue logic, validating settlements, and interpreting regulatory rules. These become consistent, traceable outputs rather than manual spreadsheets and scattered documents. By reducing operational drag and improving the quality of decisions, Amplytic helps teams run larger portfolios with less overhead and achieve stronger investment yield across their assets. Role Description We are seeking a passionate and innovative Founding Engineer for a full-time on-site role in London. You will play a pivotal role in building and scaling Amplytic's AI infrastructure and technology solutions for renewable energy asset management. Day-to-day responsibilities include designing and developing scalable software, implementing AI-driven analytics, optimising system performance, and collaborating closely with diverse teams to drive product innovation. You will also contribute to strategic decision-making and have a significant impact on shaping our technical vision and roadmap. Qualifications • Proven experience in software engineering, including proficiency in programming languages like Python., • Strong knowledge of AI/ML technologies, data structures, and algorithms, • Hands-on experience with cloud-based platforms and infrastructure (e.g., AWS, Azure, Google Cloud), • Familiarity with renewable energy industry, contract management, or financial analysis is a strong asset, • Strong problem-solving skills and a growth mindset, • Experience in a fast-paced startup environment is a plus What we value and how we work We operate with high ownership and zero excuses. We care about solving real customer problems. We move fast, make bold calls, and favour progress over polish. Clear thinking and relentless execution matter most. Everyone here is a builder. You get space to act, challenge ideas, call out inefficiency, and push for better ways of doing things. We keep teams small, and trust people closest to the problem to make decisions. In this role, you will get • Real ownership: You won’t “support engineering”; you are engineering. You’ll build the core systems that define how an AI asset manager works from the ground up., • ⁠A decisive environment: No layers, no vague asks. You get context, autonomy, and the mandate to move., • ⁠High trust, low bureaucracy: Small teams, direct communication, and freedom to build without needless gates., • ⁠A mission that matters: You’ll work on production systems managing millions in clean-energy assets, directly contributing to faster adoption of renewable power., • ⁠Deep technical growth: You’ll work across complex energy-market logic, real-time data, and full-stack engineering, with plenty of steep learning curves along the way., • ⁠Meaningful upside: Competitive salary plus meaningful equity, with direct influence on the company’s trajectory.

Leading Investment Bank - Software Developer - Finance Technology We’re hiring a Software Developer to join a Greenfield, next-generation Regulatory Technology platform within a leading global investment bank. This role sits within the Finance Technology – Regulatory Reporting organisation, focused on building and evolving a critical regulatory reporting platform used globally. While the platform is built around Axiom, prior Axiom experience is not required. We’re looking for strong engineers who are keen to learn a new, specialist technology and grow their skillset within a complex, high-impact environment. Full training on Axiom will be provided. You’ll work closely with international engineering teams, contributing to platform development, automation, and infrastructure, while helping drive modern engineering practices across a mission-critical system. What You’ll Do • Build and support a Greenfield, next-generation regulatory reporting platform, • Develop and maintain backend services, tooling, and automation supporting regulatory processing, • Implement platform upgrades, releases, and security patches across global environments, • Coordinate testing cycles with engineering and delivery teams, • Expand CI/CD, test-driven development, and release automation practices, • Contribute to architectural decisions, standardisation, and platform design, • Support a high-availability, business-critical regulatory reporting system Skills & Experience • 2–5 years’ experience as a Software Developer or Engineer, • Strong Python development skills, • Solid Linux / Shell scripting experience, • Database development experience (Sybase or other relational databases), • Understanding of application infrastructure and system architecture, • Experience designing and building web-based applications, • Background working in large-scale, enterprise environments Nice to Have • Interest in regulatory systems, financial platforms, or enterprise technology, • Exposure to CI/CD tooling (e.g. Jenkins) and Agile delivery methodologies, • Strong SQL and ETL knowledge, • Experience with database performance analysis and tuning, • Axiom experience is a plus, but not essential – full training provided This is an excellent opportunity for engineers looking to learn a niche, in-demand technology, work on a next-generation platform, and develop their career within one of the world’s leading investment banks.

JOB TITLE: Security Systems Engineer SALARY: £45,000 - £50,000 LOCATION: London / Home Counties SETTING: Office & Onsite locations 5 days per week BENEFITS: 22 days Annual Leave with an extra day every 2 years up to 30 days My client is a leading mid-market CCTV provider, working with a wide range of customers throughout London and the South. The business is owned and managed by a team with many years of experience, and due to sustained organic growth, they are looking for an excellent Security Systems Engineer to join their friendly, established team. Commutable locations: London, Surrey, South Essex, Kent Job Specification: The Security Systems Engineer is a hands-on role responsible for the call outs, installation, commissioning, of CCTV, access control, and intruder alarm systems. The role involves both planned works and reactive fault response across customer sites, ensuring systems are reliable, compliant, and fit for purpose. Requirements The focus of this position is to Install CCTV, access control, and intruder alarm systems on new and existing sites. In addition: you’ll also be responsible for.. • Fault Finding- Responding to reactive service calls and emergency faults, • CCTV Systems- Installing CCTV cameras and Configure IP cameras, NVRs/DVRs/Servers, • Offer practical recommendations for system improvements About You: - Required Experience & Skills • Proven experience in both installation and servicing of:, • CCTV systems, • Access control systems, • Intruder alarm systems, • Ability to read technical drawings and wiring diagrams Preferred Qualifications • ECS / CSCS card, • IPAF, PASMA, or similar site safety certifications, • Manufacturer-specific training or certifications, • Experience working under NSI standards If this is of any interest and you fit the requirements, please apply today! Keywords: CCTV, Access Control Systems, Intruder Alarm Systems, Cabling, Networking, VLAN, PoE, Switches

Java Developer / Software Engineer (Java AWS Kafka) London / WFH to £90k Are you a bright, ambitious Java technologist who enjoys building systems from scratch? You could be progressing your career at a global, prime broker that is replacing the legacy infrastructure used across capital markets with a new cloud-native clearing and custody system, designed for today's complex global markets. The company is experiencing great success in the US and is expanding into the UK. As a Java Developer you will join a small team responsible for building a brand new Futures Trading platform for the UK, primarily using Java with a focus on backend development but also with some React UI work. You'll be working on complex and challenging, highly available mission critical systems in collaboration with Product Managers to understand and define new features and coordinating with other developers with the goal of writing software as one. You'll be supported to learn and develop your skills by the senior engineer. Location / WFH: You'll join a small, highly talented and collaborative team in the London, City office three days a week with flexibility to work from home the other two. About you: • You are degree educated in Computer Science or closely related discipline, • You have commercial backend Java development experience including Spring, Spring Boot, microservices, • You have a good knowledge of AWS, • You also have an appreciation of UI development with TypeScript / React, • You take in pride in producing clean, high quality code, • You're familiar with modern software engineering tools such as Kafka, Kubernetes, MongoDB, • You are collaborative and motivated to learn about financial markets and advance your technical knowledge What's in it for you: As a Java Developer / Software Engineer you receive a competitive package: • Salary to £90k, • Pension, • Hybrid working, • Influential role at a growing company with excellent career progression and interesting work Apply now to find out more about this Java Developer / Software Engineer opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Full Stack Engineer (Node.js/Go) - Remote (UK based) - Up to £55k - Permanent Uneek is proud to be partnering with a longstanding client who are looking for a Full Stack Engineer to join them. This position focuses on developing software and shaping the digital infrastructure behind a new product line. What You'll Be Doing: • Design and implement backend services using Node.js and Golang., • Create modern, responsive user interfaces with contemporary frontend frameworks., • Develop scalable APIs and cloud-oriented services that communicate with distributed connected devices., • Collaborate with cross-functional teams spanning product, hardware, and mobile disciplines to deliver new system features. What They're Looking For: • 3+ years full-stack development experience., • Strong understanding of Node.js and Golang., • Proficiency with modern front-end frameworks (preferably Svelte), • Experience with microservices. What’s On Offer: • Salary: Up to £55,000, • Benefits: Comprehensive package, • Location: Remote

Fire Alarm Installation Engineer • Location: Field-Based (London area), • Job Type: Full-Time/Permanent, • Salary: Competitive + company van/mobile + benefits, • Reports to: Project Manager Company Overview: Firetecnics is one of London’s most trusted LPCB-certified fire safety company, with one of the best reputation within the industry for over 35 years. Firetecnics is part of the Helix International Group Ltd, which is experiencing growth of 30% year on year. Expanding in London and serving the Property industry. Job Overview: We are seeking an experienced and motivated Fire Alarm Installation Engineer to join our growing team. You will be responsible for the installation, commissioning of small-scale fire detection and alarm system projects across a variety of commercial & residential sites. This is a field-based role requiring technical expertise, customer interaction, and a proactive attitude. Key Responsibilities: • Install, commission, and test fire detection and alarm systems in accordance with BS 5839-1 and client requirements, • Carry out small works installations, including modifications and upgrades to existing systems, • Complete detailed job reports, commissioning certificates, and handover documentation, • Liaise effectively with customers, project managers, and other stakeholders, • Ensure work is completed within budget and timeline, maintaining high-quality standards, • Adhere to all company policies, health and safety regulations, and industry standards, • Provide technical support and guidance to junior engineers or apprentices, if required, • Participate in training and development sessions to maintain up-to-date knowledge of systems and regulations Essential Requirements: • Proven experience in installing and commissioning fire alarm systems, • Strong knowledge of BS 5839 and relevant fire safety standards, • Familiarity with key fire alarm systems such as Gent, Advanced, Kentec, Apollo, Hochiki, etc., • Full UK driving license, • ECS or CSCS Card, • Excellent communication and customer service skills, • Ability to work independently or as part of a team Desirable Qualifications: • FIA Units 1, 4, or equivalent fire systems qualifications, • Experience with emergency lighting systems or additional life safety systems, • IPAF / PASMA / Asbestos Awareness certification, • Electrical qualifications (e.g., 18th Edition, NVQ Level 3 in Electrical Installation) How to Apply: If you are an experienced Fire Systems Small Works Installation Engineer looking to take the next step in your career with a reputable and growing company, we want to hear from you. Apply now to become part of Firetecnics and contribute to our ongoing success in delivering high-quality fire safety solutions.

Job Title: Senior MEP Engineer / Senior MEP Manager – Data Centres Location: Flexible / Project-based (depending on portfolio) Reports To: Project Director / Technical Director Role Overview: We are seeking an experienced Senior MEP professional to lead the mechanical, electrical, and public health (MEP) delivery of large-scale data centre developments. This role is critical to ensuring mission-critical infrastructure is designed, coordinated, and delivered to the highest standards of reliability, resilience, and efficiency. The successful candidate will provide technical leadership across the full project lifecycle — from concept and early-stage design through procurement, construction, commissioning, and handover — working closely with clients, designers, contractors, and operations teams. Key Responsibilities: Technical Leadership • Lead all MEP aspects of data centre projects, including power distribution, UPS systems, generators, cooling strategies, BMS, fire systems, and resilience architecture., • Ensure compliance with relevant codes, standards, and best practices (e.g. TIA-942, EN, IEC, ASHRAE, Uptime Institute principles)., • Manage and coordinate MEP consultants throughout concept, schematic, detailed design, and IFC stages., • Drive design decisions related to topology (N, N+1, 2N), scalability, and future expansion., • Oversee MEP procurement strategies, including early contractor involvement and long-lead equipment., • Monitor construction progress, quality, and compliance with specifications., • Lead and coordinate Level 1–5 commissioning, IST, and integrated testing activities., • Ensure systems are fully validated, documented, and handed over in line with client and operator requirements., • Act as a key technical interface between client, funders, contractors, and operators., • Provide input into budgets, programmes, risk registers, and value-engineering exercises (without compromising resilience)., • Support technical due diligence for acquisitions or new site developments. Skills & Experience: Essential • 10+ years’ experience in MEP delivery on mission-critical or complex infrastructure projects., • Proven experience delivering data centres, hyperscale facilities, or equivalent high-reliability environments., • Strong understanding of electrical and mechanical systems for high-density loads., • Experience managing complex commissioning and integrated systems testing., • Degree in Mechanical, Electrical, or Building Services Engineering (or equivalent)., • Chartered Engineer status (CEng / PE or equivalent)., • Experience working with hyperscale, colocation, or edge data centre operators., • Decisive and technically confident, with a calm approach under pressure., • Commercially aware, with a strong understanding of risk and programme drivers., • Detail-oriented yet capable of taking a big-picture, system-level view., • Comfortable working in fast-paced environments with demanding clients. What We Offer: • Opportunity to work on high-profile, critical infrastructure projects., • Competitive salary and benefits package., • Long-term career progression within a growing data centre delivery platform., • Exposure to end-to-end development, from greenfield sites to live environments.

My client, an elite systematic trading firm, is looking for an Application Support Engineer to join a high-impact, London-based team at the cutting edge of global markets. This is a career-defining opportunity to join an engineering-driven firm where technology is core to every decision. You will provide mission-critical support for low-latency trading systems, automate infrastructure and application processes, and collaborate directly with trading, development, and infrastructure teams. You will operate in a high-performance environment that values precision, initiative, and continuous innovation. Key Responsibilities • Ensure maximum uptime of latency-sensitive trading platforms, proactively identifying and resolving production issues., • Automate and enhance support functions using Python, SQL, and monitoring tools like Splunk and Grafana., • Collaborate with traders, developers, and network engineers to troubleshoot live issues and optimise trading operations., • Build, maintain, and document proactive alerting systems and health checks for internal and external connectivity (e.g., FIX, REST APIs)., • Drive operational excellence through robust incident management, process improvement, and knowledge-sharing across regions., • Play a key role in onboarding new trading desks, products, and exchanges—delivering low-latency infrastructure and reliable integration. Ideal Candidate Profile • 3+ years’ experience supporting high-performance trading systems in a Python and Linux-heavy environment., • Proven expertise in FIX protocol, trading workflows, and exchange connectivity., • Skilled in scripting for automation (Python, Bash) and familiar with tools like Ansible and Geneos., • Experience with relational databases (Postgres, Sybase, Oracle) and writing performant SQL queries., • Knowledge of production-grade monitoring tools (e.g., Grafana, Splunk), alert tuning, and system health validation., • Understanding of low-latency infrastructure, colocation environments, and performance tuning (CPU affinity, NUMA)., • Strong communicator with a sense of urgency and ownership; capable of leading investigations To apply, please send your CV to or respond directly to this advert.

Position: Mechanical Design Engineer (Refrigeration) Contract: Permanent, Full Time Location: Remote - Based anywhere in the UK (Head office is based in Leicestershire) Salary: circa £75K plus company car or cash allowance & benefits & performance bonus Industry: Industrial Cooling & Refrigeration PRS Engineering has engaged with a key client and a leading Industrial Cooling & Refrigeration specialist operating and delivering high value projects across the UK with headquarters based in Leicestershire. Due to team expansion and winning new projects, we are seeking a Design Engineer with a background in CO2 Systems, Industrial Cooling Technologies &/or Industrial Refrigeration to support business requirements and oversee key projects. This is a remote working role with occasional attendance at the Leicester office will be required as will site visits and surveys. Job Purpose • To design and propose light industrial and commercial systems., • Detailing costs and designs to customers while meeting legislative and customer specific requirements., • To create a design from an initial brief and/or drawing, whilst adhering to the latest company and industry standards., • Produce detailed design, consisting of but not limited to: Cold room heat load calculation, cabinet heat load calculations, produce engineering sheets and pipework isometric drawings, equipment selections and pipe work sizing, • Knowledge of CO2 systems essential, Glycol/Chiller experience desirable but not essential., • Produce data for Design of Contracts project handover including: Equipment/supplier/sub-contractor procurement schedule, identify PED category of system and inform compliance team if CAT 4, calculate system refrigerant charge, produce high level program of works and high level phasing if required., • Take on projects as and when required and see them through to successful completion, • Day to day functions as requested and required by your line manager, • 2D & 3D CAD Skills (no particular preference on software tools)

See here for more info: ⚡ TL;DR Description: We are building the go-to AI services company for healthcare Role: Forward Deployed AI Engineer, who can help us discover, gain clarity and build AI solutions for healthcare clients. We want to answer the question of what patient care looks like in the AI age. Role Overview The Forward Deployed AI Engineer role at Sanctuary Health is a pivotal, both forward-deployed work and internal developer role responsible for the end-to-end lifecycle of technical solutions, from deep-dive customer discovery and project scoping to delivery and eventual internal productisation for future customers. This role will be crucial in ensuring long-term system scalability and stability of Sanctuary’s technical products, requiring a high degree of independence and proficiency in applying AI models in products. The ideal candidate embodies an entrepreneurial spirit demonstrating proactivity, idea generation, and comfort with fast learning, ambiguity, and regular pivots. Responsibilities • Customer facing projects, including Forward Deployed work. Discovery, scoping and delivery of these projects, working with customers to understand their technical problems deeply and build software solutions to resolve., • Internal productisation of customer projects. Taking capabilities created for customer work and building these out into products to then be sold on to future customers., • Work on internal systems to ensure long term scalability and stability for customers., • Support ongoing customer facing and internal product and system maintenance. Requirements Required, technical: • 2 years working with LLMs, RAG, and/or voice AI., • 3 years experience in Typescript, • 3 years experience in React, • NextJS, • Tailwind, • Express, • PostgreSQL, • GraphQL, • Retrieval Augmented Generation systems, • Ability to travel, at short notice, sometimes for extended periods (e.g. 4 weeks), • Experience operating independently to investigate and resolve complex issues, • Entrepreneurial attitude to work, including proactivity, idea generation, flexibility and agility, • Discretionary effort in work, seeing it as an exciting venture not a day-job, • Willingness to learn fast and off your own back, • Comfortable with ambiguity and regular pivots; we know the direction we’re heading, but not where we’ll end up 🌤️ Benefits: • Generous holiday allowance 🌴, • Hybrid working (twice per week in-office), • New tech will be provided 💻, • WeWork ‘All Access’ setup (and associated perks), • Company pension contributions

Full Stack Engineer (Web & Data) Industry: Technology / Digital Products / Automation & Analytics Location: London, UK (Hybrid 1-2 days) Are you passionate about developing seamless, data-driven digital experiences? An established digital transformation and technology solutions provider is looking for a Full Stack Engineer (Web & Data) to join its growing Automation & Analytics team in London. This hybrid role blends web development with data engineering, offering exposure to everything from dynamic front‑end interfaces and API development to cloud‑based data pipelines and analytics platforms. If you love combining creativity in web development with the logic and scalability of data engineering, this is your opportunity to grow in a cutting‑edge environment. What You’ll Do • Design, develop, and maintain end‑to‑end web applications—from intuitive front‑end interfaces to robust back‑end servers and APIs., • Build and optimise data platforms and ETL/ELT pipelines supporting analytics and AI‑driven applications., • Prepare and structure data for dashboards, reporting, and machine learning solutions., • Collaborate with consultants, data scientists, and project teams to deliver reliable and scalable systems., • Manage CI/CD deployments and version control across hybrid AWS and Azure environments., • Analyse system performance, troubleshoot issues, and continuously improve existing solutions. Essential: • 1–2 years of experience as a Full Stack Engineer, Web Developer, or Data Engineer., • Bachelor’s or Master’s degree in Computer Science, Engineering, or a STEM field., • Proficiency in Python and SQL for back‑end logic and data operations., • Hands‑on experience with front‑end frameworks such as React or Next.js., • Experience creating and maintaining APIs, working with relational/non‑relational databases., • Familiarity with data orchestration tools (e.g. Airflow) and data warehouse/lake design., • Practical knowledge of AWS or Azure cloud environments., • Strong understanding of Git, CI/CD, and modern deployment practices., • Experience with WordPress/PHP or Streamlit for rapid web applications., • Familiarity with dbt, Power BI, or similar data analytics tools., • Understanding of machine learning, AI integration, and vector databases., • Interest in UI design or Agile project delivery. This role offers a rare opportunity to develop both front‑end and data engineering capabilities within a forward‑thinking digital solutions team. You’ll gain hands‑on experience with next‑generation technology stacks, cross‑functional collaboration, and projects shaping how global enterprises use data and automation. Please apply with your latest CV showing all relevant experience and email your CV with your salary expectations, availability to interview and start working Dr Marina Economidou, Executive Solutions Consultant

Job Responsibilities 1. Lead the formulation and optimization of grid connection schemes for large-scale energy storage power stations. Combine grid connection specifications with project operating conditions to ensure the schemes are scientifically feasible and fully implemented., 2. Liaise with power grid companies, design institutes and other relevant entities, lead technical review and demonstration meetings for grid connection, respond to and resolve technical queries in a timely manner, and promote the efficient progress of approval processes., 3. Coordinate pre-grid connection technical preparations, including equipment joint commissioning, protection setting calculation, and system performance testing, to ensure core indicators meet grid access requirements., 4. Lead the entire process of grid connection commissioning and acceptance, formulate detailed commissioning plans and acceptance standards, direct on-site commissioning teams to complete all tests, and troubleshoot technical faults during the commissioning phase., 5. Provide post-grid connection technical operation and maintenance support, monitor the stability of system operation, and develop optimization schemes for issues such as power fluctuations and harmonic exceeding standards., 6. Track technical trends and new industry standards in energy storage grid connection, participate in formulating and updating the company’s relevant technical specifications and operation manuals, and provide technical guidance. Job Requirements 1. Bachelor’s degree or above in Electrical Power System and Automation or related majors, with over 5 years of experience in grid connection of large-scale energy storage or new energy power stations (PV, wind power)., 2. Proficient in technical specifications and approval processes for grid connection of energy storage power stations, capable of independently formulating grid connection schemes and solving practical technical problems., 3. Master the principles and commissioning methods of core equipment such as BMS, EMS and grid-connected inverters, with strong on-site fault diagnosis capabilities. Hold relevant professional qualifications (e.g., Registered Electrical Engineer, Electrical Safety Work Permit) is preferred. Experience in the entire grid connection process of MW-level energy storage power stations is a plus. 4. Good project management capabilities, able to plan work schedules and coordinate resources. Capable of independently completing technical documents such as commissioning and acceptance reports., 5. Excellent communication, coordination and teamwork skills, strong pressure resistance, and able to adapt to on-site business trips and periodic high-intensity work.