Trabajos train engineer en Reino Unido

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

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

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

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

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

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

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

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

As a result, we are seeking an experienced Release Train Engineer (RTE) to support the effective planning and delivery of technology initiatives across the Unify Programme. Release Train Engineer - PLRe Technology.

Field Service Engineer (Pumps/Mechanical) £50,000 - £60,000 + Door-Door pay + Overtime + Company Van + Fuel Card + Training + Progression city of LondonAre you Field Service Engineer with a background working on Pumps or similar looking to join an expanding business in a new role that will provide you with door-door pay, training to develop your skillset where desired, and the opportunity to boost your income with access to regular overtime? On offer is the opportunity to join a market-leading company that offer pump and drainage maintenance solutions, as they expand their team to meet the growing needs of the business and take on exciting new contracts in the commercial and residential sectors.In this field based role you will cover a local patch carrying out a mixture of planned and reactive maintenance on pumps, for commercial and residential clients. You will be provided training in areas that require upskilling and have the chance to train in other areas of the business.This role would suit someone with a background servicing Pumps or similar looking to join a growing company that will provide the opportunity to upskill and the chance to boost your income with access to regular overtime.The Role • Installing, Servicing and maintaining pumps, • Planned and reactive maintenance, • Background in pumps Pump Engineer, Field service engineer, Drainage, Booster sets, Control panels, Installation Engineer, Electrical, Mechanical, Motors, Control Panels, Pump Technician, drainage Technician, Enfield, Ilford, Croydon, Watford, Wembley, Twickenham, Dartford, Kent, Gravesend, Crawley, Luton, London, Pump Engineer If you are interested in this role, click 'apply now' to forward an up-to-date copy of your CV. We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered remuneration will be dependent on the extent of your experience, qualifications, and skill set. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy, and Disclaimers, which can be found on our website.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee Network Engineer – No Experience Needed Looking for a career change? Maybe you’re already working but want a more technical role with better long-term prospects. Or you could be between jobs and ready for a fresh start in tech. The ITOL Recruit Network Engineer Job Programme is designed to help you move into a high-demand network engineering role, even if you have no prior experience. Train online at your own pace and land your network engineering role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£50,000. Why Network Engineering Every business relies on secure, reliable networks to operate. From corporate offices to cloud-based environments, network engineers are essential to keeping systems connected, secure, and running efficiently. This demand translates into strong salaries and long-term job security across industries worldwide. How It Works Step 1: CompTIA A+ Start with the fundamentals of IT systems, hardware, operating systems, and troubleshooting. This stage builds the core technical knowledge required to work in IT environments. Step 2: CompTIA Network+ Develop the skills needed to configure, manage, and secure wired and wireless networks. You’ll cover networking concepts, infrastructure, troubleshooting, and security aligned with industry expectations. Step 3: Practical Network Experience You will apply your knowledge through live labs that reflect workplace environments, giving you the practical experience needed to move into a network-focused role. Step 4 – Job Placement Once qualified, our recruitment team works with you directly to prepare applications, set up interviews, and secure your first role in network engineering. What You Get • 100% online, self-paced training, • CompTIA A+ and Network+ certifications, • Live labs for practical experience, • 1-on-1 tutor and recruitment support, • Job guarantee – get a job or your money back, • Starting salary of £28,000–£50,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. “I expected it to be harder to get into network engineering. Three weeks after I finished the training, I was starting my first role.”– Priya S., Network Technician, Leicester Ready to Start? If you want to build technical skills and move into a network-focused role, this programme is designed to get you there. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

About The RoleJoin a Major Nationwide Project as an Installation & Service Engineerphs WastekitReady to Build Something That Matters?If you’re an engineer who wants pride in their work, variety in their days, and the opportunity to grow with a business that’s investing in people and projects — we want to hear from you.Are you an engineer who wants more than just another service role?At phs Wastekit, we’re looking for Installation & Service Engineers to join us on an exciting, large-scale project delivering modern recycling solutions to customers across the UK. This is your chance to be part of something visible, impactful, and growing — with the support, training, and structure to help you succeed.The OpportunityAs an Installation & Service Engineer, you’ll be at the front line of our operation — installing, servicing, and commissioning recycling equipment in clean, well-managed customer environments. You won’t just fix machines; you’ll help customers transform the way they manage waste.You’ll be trusted to: • Install and service equipment safely and professionally, • Deliver on-site training to customers so they get the very best from their machines, • Carry out site surveys and support new installations as part of a co-ordinated national rollout, • Take real ownership of your work and your customer relationshipsThis role is planned, structured, and supported — working closely with our Service Desk and Operations teams to ensure jobs are organised efficiently and safely.Travel, Variety & Paid Nights Away. No two weeks are the same. The role involves planned travel across regions, with overnight stays required from time to time — all fully expensed. Some weekend work may be required occasionally, but this is balanced with proper planning and support.If you enjoy variety, autonomy, and seeing the results of your work on-site, this role delivers.Training & DevelopmentWe invest heavily in our engineers.You’ll receive:, • Regular technical and safety training, • Ongoing development to keep your mechanical, electrical, and hydraulic knowledge up to date, • A Train the Trainer qualification, enabling you to confidently train customers on installed equipment, • Clear standards, processes, and support to help you perform at your bestThis is a role where your skills are valued — and actively developed.What Success Looks Like, • High-quality installations and servicing completed safely and right first time, • SLAs consistently achieved and exceeded, • Customers who trust you, value your professionalism, and enjoy working with you, • Accurate job records, time, and parts logged correctly, • Pride in your van, tools, PPE, and the way you represent the businessWhat We’re Looking For., • Ideally, you’ll come from a service engineering, mechanical, electrical, or hydraulic background, • The ability to work independently with minimal supervision, • A professional, customer-focused attitude, • Confidence communicating clearly with customers and colleagues, • A disciplined, organised approach to paperwork and administration, • Most importantly, we’re looking for engineers who take ownership, care about quality, and want to be part of a team delivering something bigger.Why phs Wastekit?, • Be part of a major, high-profile project, • Work in clean, professional environments, • Excellent training and ongoing development, • Fully expensed nights away, • Company vehicle, tools, PPE, and uniform provided, • Strong operational support — you’re never on your ownIn return for your commitment and expertise, you will receive, • A competitive salary of £35,000.00., • We offer accredited ILM Training in house and external training., • Ongoing career and development opportunities., • Digital GP for you and your family., • Over £1000 worth of savings and discounts at Supermarkets and High Street stores with PHS Perks., • Company pension., • 24-hour wellbeing helpline., • All kit required for working effectively on the road.If you want a career with a well-established company, where you’ll be appreciated for the quality of your work, we would love to hear from you.Apply now.phs Group was founded in 1963 and we are the leading provider for Hygiene Services in the UK, Spain and Ireland with over 120,000 customers across 300,000 locations incorporating numerous businesses during its 63 years of business.Our businesses include: Washrooms, Healthcare, Floorcare, phs Direct, Direct 365, phs Greenleaf, Teacrate, Besafe, Wastekit and Compliance.At phs, we pride ourselves on our diverse workforce, and ensuring we have an inclusive environment for all our staff. We remain committed to ensuring our teams can bring their true selves to work without risk or fear of discriminati

Pump Engineer £55,000 - £65,000 + Overtime + Company Van + Fuel Card + Training + ProgressionEnfield, LondonDo you have a background working on pumps or similar, looking for a brand new position covering a local patch with a rapidly expanding company that will upskill you by providing you with in-house training, external qualifications and access to a generous overtime structure?On offer is the opportunity to join a market-leading company that offer pump and drainage maintenance solutions, as they expand their team to meet the growing needs of the business and take on exciting new contracts in the commercial and residential sectors.In this field based role you will cover a local patch carrying out a mixture of planned and reactive maintenance on pumps, for commercial and residential clients. You will be provided training in areas that require upskilling and have the chance to train in other areas of the business.This role would suit someone with a background servicing Pumps or similar looking to join a growing company that will provide the opportunity to upskill and the chance to boost your income with access to regular overtime.The Role • Installing, Servicing and maintaining pumps, • Planned and reactive maintenance, • Background servicing pumps Pump Engineer, Field service engineer, Drainage, Booster sets, Control panels, Installation Engineer, Electrical, Mechanical, Motors, Control Panels, Pump Technician, drainage Technician, Enfield, Ilford, Croydon, Watford, Wembley, Twickenham, Dartford, Kent, Gravesend, Crawley, Luton,

Jnr AV Installation Engineer – My client are looking to the future and now wish to train and develop your AV skills to become fully fledged in the world of AV Integration. The client are looking for you to have 1-2 years experience of AV integration gained from the high end residential av integration market place. . You will work alongside a lead / snr engineer acting as a sponge, developing both your hands on skills and your programming skills. You will be sent on all relevant training courses to make sure you have a thorough and in depth understanding of kit and systems that you will be working with. Ideally you will be living in North London or Hertfordshire. You will need to have a superb attitude, be able to be on site on time and to do what is needed to get a project over the line. Skills with soldering crimping and cable termination as well as rack building need to be clearly shown as part of your experience. The client are looking to the future so this potentially could be the role that you are seeking to take your av career to the next level. If this is the role and company that you see yourself at then I will need to see a fully technical CV that clearly shows your hands on experience and depth of experience with all av kit. DUE TO THE NATURE OF THE ROLE THERE IS NO SPONSORSHIP ON OFFER AV A-V A/V AUDIO-VISUAL AUDIOVISUAL LIGHTING SOUND CRESTRON LUTRON CONTROL4 SMARTHOME HOME-AUTOMATION RACK INSTALLATION RACK INTEGRATION DSP JNR TRAINEE LONDON HERTS HERTFORDSHIRE CEDIA AUTOMATION

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Machine Learning Engineer - London Join the analytics team as a Machine Learning Engineer in the technology industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward thinking environment. Client Details Machine Learning Engineer - London This opportunity is with a medium-sized organisation in the technology industry. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer - London This role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services. • Design, train, and optimise machine learning models for audio processing tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection., • Build and maintain training and inference pipelines using PyTorch, and related ML frameworks, • Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows., • Run structured experiments, evaluate model performance, and iterate based on measurable results, • Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production monitoring., • Package and deploy models using Docker and cloud infrastructure, with a focus on reliability and scalability, • Design and deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools., • Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs, and data sources., • Evaluate and integrate large language models into production systems where they add clear value. Machine Learning Engineer - London A successful Machine Learning Engineer should have: • Strong foundation in machine learning, deep learning, and optimisation, • Hands-on experience training, evaluating, and deploying ML models in real-world systems, • Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem, • Experience with audio or speech models and frameworks., • Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar)., • Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred), • Practical experience designing agentic AI systems and integrating models with external services, • Comfortable owning the full ML lifecycle, from data preparation to production deployment Machine Learning Engineer - London • Competitive salary ranging from £80,000 to £100,000 per annum., • Comprehensive benefits package to support your well-being., • Opportunity to work in a leading organisation within the insurance industry., • Collaborative and innovative work environment in London.

Lead Fire Engineer Looking for an experienced Fire Alarm Systems Engineer with excellent knowledge of systems in blocks of flats. This role is to support systems in large residential blocks across the SE London area. In addition to undertaking Service Calls, PPM's, and reactive maintenance visits, you will train, mentor and act as a technical escalation point for more junior Fire Alarm Field Service Engineers. Package is £42- £45000 + business use company van with all travel, parking costs etc met. This is a Full time PAYE permanent position with paid holiday, pension, and plenty of overtime opportunity if desired. Applicants for this role must have worked in a similar Fire Alarm Servicing position and hold a full manual driver’s licence. As this role is focused on supporting systems installed in buildings around the SE post code area; applicants should be located within a reasonable drive: BR / SE / DA post codes, North Kent, or local towns like Croydon.

Fuel your future with AO and earn up to £2,000 in performance bonuses plus a £2,000 welcome bonus when you join our team. We’re all about balance — enjoy a shift pattern that fits your lifestyle, giving you the freedom to work in a way that works for you. As one of our Gas Engineers, you’ll keep full control of your Gas Safe card, while enjoying a reliable income you can count on. • Salary: £39,000 - £42,000 per annum, • Shift Pattern: 4 on 4 off / 6am- 6pm Here’s what you can expect to be doing as a Gas Installations Engineer: As a Gas Engineer at AO, you’ll team up with one of our drivers to visit customers’ homes and install gas appliances and electrical products. No repairs—just safe, high-quality installs and brilliant customer service, every time. A Few Things About You: Essential • Full UK manual driving licence with no more than 6 points, • CCN1 & CKR1, • To be over the age of 21 for insurance purposes As a Gas Installations Engineer, you will gain: • A 4 on 4 off shift pattern and 24 days holiday, you will work less than half a year., • On-call support from our technical team and Installation Managers, • Fantastic training facilities with ongoing learning opportunities, • Healthcare Cashback Scheme, • Competitive pension Scheme Click 'Apply' now to join our family and find out more about the Gas Installations Engineer role.

Trainee Cyber Security Analyst – No Experience Needed Launch your career in IT & Cyber Security – starting today. Looking for a career change? Currently employed but want something more secure and future-focused? Or maybe you're between roles and ready for a fresh start? ITOL Recruit’s Cyber Security Placement Programme is designed to help you break into one of the UK’s most in-demand industries with zero experience required. Train online at your own pace and begin your journey into IT and Cyber Security in as little as 1–3 months. Please note this is a training course and fees apply. Job guaranteed – complete the programme and get a job or your money back. Our candidates earn £30,000–£40,000. Why Cyber Security? Cybercrime is rising every year, and businesses of all sizes urgently need skilled professionals to protect their systems, networks, and data. Cyber Security isn’t just a job — it’s a long-term, resilient career. How It Works Step 1 – Accredited Online Training Start with globally recognised certifications from CompTIA, the industry leader in IT and Cyber Security training. • CompTIA A+ (Core1 & Core2), • CompTIA Network+ Step 2 – Practical Hands-On Labs Cyber Security is practical. You’ll gain real-world experience through lab simulations that allow you to practise: • Configuring networks, • Troubleshooting systems, • Identifying vulnerabilities Step 3 – IT Technician Placement (£30K–£40K) We work with you to secure your first role as an IT Technician, IT Support Analyst, or Helpdesk Engineer. While gaining real industry experience, you’ll unlock your second phase of training, including: • CompTIA Security+ We Get You Hired We’re not new to this. ITOL Recruit has 15+ years of experience helping career changers and new job seekers enter the IT industry. Our programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. Complete the programme, follow the process, and if you don’t land a job, you get your money back. “I started with no IT experience. Within months I was working in a Helpdesk role and now I’m progressing into Cyber Security. The structure and support were incredible.” Ready to Start? If you’re analytical, motivated, and ready to protect organisations from cyber threats, we’ll help you turn that ambition into a secure and rewarding career. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Fire and Security Engineer - East London - £32,000- £45,000 Per Annum Fire and Security Engineer Package Overview: • £32,000 - £45,000 Basic Salary + Overtime (Negotiable depending on experience), • Full-Time, Permanent, • Monday to Friday Hours Our Client are currently looking for a Fire and Security Engineer to join their highly valued team on a full-time, permanent basis. With many years’ experience in the industry, they’re entering another period of growth and are looking to expand their team due to customer demand. Fire and Security Engineer Role and Responsibilities: • Installation, Service, Repair, Fault-finding & Maintenance of Fire Alarms, Intruder Alarms, CCTV & Access Control Systems, • Field based role, covering a number of sites, • Working on a range of brands of manufacturer, • Take responsibility for the overall quality of the work delivered, • Carry out effective communication with customers at all times, • Ensure tasks are completed efficiently, • A full UK driving licence or equivalent (Essential), • A drive and enthusiasm to grab hold of opportunities, • Ideally you will have at least 3 years’ experience working within the Fire and Security Sector, • Considering applicants with all or single discipline providing you are willing to train, • Knowledge of a range of manufacturers, • Desirable qualifications include: IPAF, CSCS/ ECS, FIA and/or City & Guilds, • Competitive basic salary of up to £45,000 per annum (Negotiable depending on experience), • Company vehicle & fuel card, • Plenty of overtime available if wanted, • Opportunity to earn more money via the on-call rota, • Annual leave provided, • Pension scheme, • On-going training opportunities Get Staff acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers Please note that if you have not been contacted within 7 days, your application for this position has been unsuccessful.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Are you ready to kick-start your career in a fast-growing, innovative company? At Hudson Lifting, we’re looking for a dynamic, hands-on individual to join our team as a Lifting Engineer. Location: Heathrow, UB7 8EW Salary: up to £40k per annum depending on experience Job Type: Full-time, Permanent Working Pattern: Monday to Friday, 07:30 AM to 5:30 PM About Us: Hudson Lifting is an award-winning provider of lifting equipment and services, known for offering bespoke solutions and products of the highest quality. Our collaborations with top brands like Tractel, Genie, Gunnebo, Hi-Force, and many more mean we offer the best in the business. We are committed to maintaining ISO 9001 and ISO 14001 standards to deliver the quality and reliability our customers expect. With a strong foundation and a forward-thinking approach, our vision is to become the leading provider of lifting solutions in the UK – and we want you to be part of that journey! Lifting Engineer – The Role: This is your chance to become part of an award-winning business, where you'll learn the ins and outs of inspecting, maintaining, and repairing cutting-edge lifting equipment that keeps our customers’ operations running smoothly. If you're a natural "tinkerer" with a passion for mechanical engineering or already have experience as a technician, we want to hear from you! Lifting Engineer - What’s in it for you? • Real-world experience: Develop valuable skills on the job while working with industry-leading equipment, • Career progression: We’ll invest in your growth with full training, including a LEEA courses and a diploma in lifting equipment engineering, if you haven’t already got these, • A supportive environment: Work alongside a team of experts in a company committed to your development and success Lifting Engineer – Key Responsibilities: • Testing and inspecting equipment to ensure it meets the highest safety and quality standards, • Maintaining and preparing equipment for hire, making sure it’s always ready for customers, • Conducting on-site inspections and troubleshooting for customers and helping with breakdowns when needed, • Dismantling and repairing faulty components, bringing your technical expertise to the forefront, • Assisting with deliveries and collections as required, • Keeping our workshop safe, tidy, and compliant with health and safety regulations, • This list isn't exhaustive, and you may be called upon for additional duties as needed, • This is not your typical 9-to-5 – you’ll gain hands-on experience and have the chance to take on new challenges as you grow with us Lifting Engineer – You: • Passion for mechanical equipment: If you’re excited about lifting gear, machinery, and engineering, this is the role for you, • Attention to detail: You’ll take pride in ensuring all work is of the highest quality, identifying issues and solving problems efficiently, • A proactive attitude: You’ll be responsible for maintaining a clean and safe working environment and taking ownership of tasks, • Experience is a plus, but not essential: If you have experience diagnosing and repairing lifting equipment or plant machinery, fantastic! If not, we’re happy to train the right candidate, • You'll also need a clean UK driving license to carry out site visits and occasional deliveries. If you don’t have certain certifications like a forklift truck license, don’t worry – we can provide training for those too Perks and Benefits: • Competitive salary and a pension scheme, • Death in service benefit, • 25 days holiday plus bank holidays, • Company uniform and PPE provided, • Employee Assistance Programme for your well-being, • Access to continuous training and career development opportunities Hudson Lifting Limited is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all our employees. If you require any reasonable adjustments to be made for you to attend an interview, please do let us know and we will be happy to accommodate. If you’re ready to take on a challenging, rewarding role and grow with an innovative team, we’d love to hear from you. Apply today to begin your career with Hudson Lifting!

Security Systems Engineer (CCTV, Access Control & Intruder Alarms) - Croydon - £36,000- £44,000 Basic Salary Per Annum Security Systems Engineer (CCTV, Access Control & Intruder Alarms) Package Overview: • £36,000 - £44,000 Basic Salary + Overtime (Negotiable depending on experience), • Full-Time, Permanent, • Monday to Friday Hours Our Client are currently looking for a Security Engineer to join their highly valued team on a Full-Time, Permanent basis. With many years’ experience in the industry, they’re entering another period of growth and are looking to expand their team due to customer demand. Security Systems Engineer (CCTV, Access Control & Intruder Alarms) Role and Responsibilities: • Installation, Service, Repair, Fault-finding & Maintenance of IP CCTV, Access Control & Intruder Alarm Systems, • Field based role, covering a number of sites, • Working on a range of brands of manufacturer, • Take responsibility for the overall quality of the work delivered, • Carry out effective communication with customers at all times, • Ensure tasks are completed efficiently, • A full UK driving licence or equivalent (Essential), • A drive and enthusiasm to grab hold of opportunities, • Ideally you will have at least 3 years’ experience working within the Security Industry (Not essential), • Considering applicants with all or single discipline providing you are willing to train, • Knowledge of a range of manufacturers, • Desirable qualifications include: IPAF, CSCS/ ECS, FIA and/or City & Guilds, • Competitive basic salary of up to £44,000 per annum (Negotiable depending on experience), • Company vehicle & fuel card, • Plenty of overtime available if wanted, • Opportunity to earn more money via the on-call rota, • Annual leave provided, • Pension scheme, • On-going training opportunities Get Staff acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers Please note that if you have not been contacted within 7 days, your application for this position has been unsuccessful.

Robert Half Technology are assisting a market leading financial services to recruit a AI Enablement Engineer on an initial 6-12 month contract basis. London based - hybrid working This role is primarily to provide AI integration support and guidance to a team of around 25 investment, operations and support personnel. We are in the early stages of this process so the role will be well positioned to help guide how the integration looks. The second function of the role is providing support, when needed, to the Python and SQL based reporting suite used by the operations team. Role • The AI Enablement Engineer will lead the AI integration project, focusing on data security and controls appropriate for the needs of the different teams within the business, • Train staff to use AI tools both efficiently and securely, • Work with our outsourced IT provider to ensure that we stay up to date with developments in AI security and integration, • Docker, Postgres, REST APIs, SFTP, Websockets, • OOP + Asynchronous Design Patterns, • PowerQuery/DAX/M, • Industry standard libraries used in software development within finance (pandas, numpy, scipy etc), • MS Graph, • Experience with the following technologies is nice to have:, • NodeJS, • Grafana, • VBA, • OpenAI API The AI Enablement Engineer will have experience with the following: • Data processing and transformation, • Report maintenance/production, • Management of automated processes, • Use/management of virtual machines, • Investigation of reporting breaks/inconsistencies with an eye for detail, • The ability to quickly adopt and use the stack of previous developers, • Experience with migrations is a nice to have, • Market leading financial services organisation, • Global presence with offices in London The salary range/rates of pay is dependent upon your experience, qualifications or training. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Trainee Network & Security Engineer – No Experience Needed Looking for a career change? Maybe you’re already working but want a more technical role with better long-term prospects. Or you could be between jobs and ready for a fresh start in tech. The ITOL Recruit Network & Security Engineer Job Programme is designed to help you move into a high-demand network engineering role, even if you have no prior experience. Train online at your own pace and land your network engineering role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£50,000. Why Network Engineering Every business relies on secure, reliable networks to operate. From corporate offices to cloud-based environments, network engineers are essential to keeping systems connected, secure, and running efficiently. This demand translates into strong salaries and long-term job security across industries worldwide. How It Works Step 1: CompTIA A+ Start with the fundamentals of IT systems, hardware, operating systems, and troubleshooting. This stage builds the core technical knowledge required to work in IT environments. Step 2: CompTIA Network+ Develop the skills needed to configure, manage, and secure wired and wireless networks. You’ll cover networking concepts, infrastructure, troubleshooting, and security aligned with industry expectations. Step 3: Practical Network Experience You will apply your knowledge through live labs that reflect workplace environments, giving you the practical experience needed to move into a network-focused role. Step 4 – Job Placement Once qualified, our recruitment team works with you directly to prepare applications, set up interviews, and secure your first role in network engineering. What You Get • 100% online, self-paced training, • CompTIA A+ and Network+ certifications, • Live labs for practical experience, • 1-on-1 tutor and recruitment support, • Job guarantee – get a job or your money back, • Starting salary of £28,000–£50,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. “I expected it to be harder to get into network engineering. Three weeks after I finished the training, I was starting my first role.”– Priya S., Network Technician, Leicester Ready to Start? If you want to build technical skills and move into a network-focused role, this programme is designed to get you there. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Mechanical Plant Engineer London £ + Discretionary Bonus + Pension + Private Healthcare + Cycle to Work Scheme + Electric Car Scheme + Career Progression Are you a mechanical plant engineer ready to boost your career while earning top pay for your skills? Do you want to work on large-scale, low-carbon energy projects with clear progression, excellent benefits, and the chance to take real ownership? We are looking for an experienced Mechanical Plant Engineer with at least 2 years' experience on commercial mechanical plant. This role is ideal for someone confident with service, breakdowns, and fault finding, who enjoys keeping critical systems running and developing their career in a fast-growing business. In this role, you will focus on service and breakdown work across energy centres, restoring heating, completing planned maintenance, and supporting critical infrastructure as part of a 1 in 4 on-call rota. You'll also have opportunities to develop technical skills and mentor junior engineers. The Role * Service, fault-find, and repair commercial plant (pumps, boilers, heat exchangers, actuators). * Respond to reactive breakdowns and restore heating. * Complete Planned Preventative Maintenance (PPM) to ensure reliability. * Diagnose faults and implement long-term solutions. * Participate in a 1 in 4 on-call rota. * Support and train junior engineers. The Person * 2+ years' experience on mechanical or commercial plant. * NVQ Level 3 in Gas/Plumbing or equivalent. * Strong fault-finding and problem-solving skills. * Confident communicator across teams and sites. * Willingness to travel UK-wide and cover callouts. * Basic electrical competency and able to read P&IDs/schematics. BH: 271777 To apply, click Apply Now or contact Maleek Randley at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

Industrial Door Engineer - London - Up to £22.00 Per Hour + Overtime Industrial Door Engineer Package Overview: • £16.00 - £22.00 per hour + Overtime (Negotiable depending on experience), • Full-Time, Permanent, • Monday to Friday Hours Our Client are currently looking for an Industrial Door Engineer to join their highly valued team on a full-time, permanent basis. With many years’ experience in the industry, they’re entering another period of growth and are looking to expand their team due to customer demand. Industrial Door Engineer Role and Responsibilities: • Installation, Service, Repair, Fault-finding & Maintenance of Industrial Doors such as; Roller Shutters, Sectional Doors, High Speed Doors, Loading Bay Equipment, Dock Levellers, Manual Doors, Fire Doors & More, • Field based role, covering a number of sites, • Working on a range of brands of manufacturer, • Take responsibility for the overall quality of the work delivered, • Carry out effective communication with customers at all times, • Ensure tasks are completed efficiently, • A Full UK Driving Licence or equivalent (Essential), • Ideally you will have at least 3 years’ experience working within the Industrial Door Industry (Not essential), • Considering applicants with all or single discipline providing you are willing to train, • Knowledge of a range of manufacturers, • Desirable qualifications include: IPAF, CSCS/ ECS, SPA Passport, PASMA and/or City & Guilds, • Competitive hourly rate of up to £22.00 per hour (Negotiable depending on experience), • Company vehicle & fuel card, • Plenty of overtime available if wanted, • Opportunity to earn more money via the on-call rota, • Annual leave provided, • Pension scheme, • On-going training opportunities Get Staff acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers Please note that if you have not been contacted within 7 days, your application for this position has been unsuccessful.

Security Engineer (CCTV, Access Control and Intruder Alarms) - London- Basic Salary £28,000 - £47,000 Per Annum Security Engineer (CCTV, Access Control and Intruder Alarms) - Package Overview: • £28,000 - £47,000 (negotiable based on experience), • Opportunities to increase earnings, • Company vehicle, fuel card, pension scheme, mobile phone, and laptop, • Full-time, permanent position, • Monday to Friday (40 hours per week), • Excellent training and career progression opportunities, • Area covered - London and home counties, • Field based role covering a number of sites, • The work is strategically allocated based on each engineer’s location and strengths An excellent opportunity has become available within a well-established, growing company in the security industry. This highly regarded organisation is known for its expertise in designing, installing, and maintaining security systems including CCTV, access control & intruder alarms for commercial, residential and industrial clients. You will join a team of skilled professionals, with your work carefully planned and allocated to ensure high standards and efficiency. The company offers full training and ongoing support, helping you to develop your career and skills in a supportive environment. Security Engineer (CCTV, Access Control and Intruder Alarms) - Role and Responsibilities: • Install and maintain security systems, including CCTV, access control, intruder alarms, and other related systems., • Conduct regular servicing and testing of security systems to ensure their operational effectiveness and compliance with regulations., • Fault diagnosis and repair, ensuring systems are fully operational and meet client requirements., • Perform system upgrades and modifications to meet changing client needs and updated industry standards., • Ensure all work complies with British Standards, health and safety regulations, and company procedures., • Provide excellent customer service, liaising with clients to address concerns and provide professional advice., • Maintain accurate records, including service reports, installation logs, and maintenance documentation., • Collaborate with other engineers and teams to ensure smooth and efficient project delivery., • Strong technical knowledge of security systems, including CCTV, access control & intruder alarms., • Proven experience in the installation, maintenance, and servicing of security systems., • Excellent fault-finding and problem-solving abilities., • Ability to interpret technical drawings and system specifications., • Familiarity with British Standards and security industry regulations., • Strong organisational and time-management skills., • Methodical, detail-oriented approach to work., • A commitment to health and safety practices in all tasks., • Full UK driving licence or equivalent., • Experience with various manufacturers and systems., • Excellent training and development opportunities, • Plenty of opportunities to increase your earnings, • Excellent work life balance, • Supportive work environment, • Carefully planned out work schedules Get Staff acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Please note: If you have not been contacted within 7 days, your application for this position has been unsuccessful. Industry Keywords: Security Systems Engineer, CCTV, Access Control, Intruder Alarms, Fire Alarm Systems, Installation Engineer, Service Engineer, Security Systems, Security System Design, Fault Diagnosis, Preventative Maintenance, System Upgrades, IP Networking, PPM, Health and Safety, British Standards, Site Surveys, Commercial Security, Residential Security, IP, Integrated Security Systems, Maintenance Engineer, Service Engineer, Repair Engineer, Fire and Security Engineer, Security Engineer, Commissioning, Fire Alarm, Security Systems Engineer, Fire Extinguisher, Emergency Lighting, Nurse Call Systems, Close Circuit Television, Automatic Number Plate Recognition, ANPR, Access Control, Door Entry, Life Safety, Health and Safety, Intruder Alarm, Hikvision, Dahua, Qvis, Galaxy, Texecom, Scantronic, Paxton, PAC, Net2, Wisenet, Morley, Advanced, Kentec, C-tec, Gent, Hojicki, HiFire, Pelco, Menvier, Concept Pro, Haes, Fermax, Videx, ACT, Avigilon, Lenel C-Cure, Notifier, Electrical Engineer, BAFE, FIA, ECS Card, Site Surveys, Control Panels, System Commissioning.

Garage Door Repair Engineer Based from Sidcup, Kent and Upminster, Essex Successful Garage Door installation company seeks a repair engineer to repair residential garage doors and associated products in Sidcup and Upminster. An experienced garage door engineer would be ideal; however, we are prepared to train applicants who have the right skill set and background. The Role Reporting to the Branch Mana... ZIPC1_UKTJ

Robert Half Technology are assisting a market leading financial services to recruit a Python Developer on an initial 12 month FTC basis. London based - hybrid working This role is primarily to provide AI integration support and guidance to a team of around 25 investment, operations and support personnel. We are in the early stages of this process so the role will be well positioned to help guide how the integration looks. The second function of the role is providing support, when needed, to the Python and SQL based reporting suite used by the operations team. Role • The Python Developer will lead the AI integration project, focusing on data security and controls appropriate for the needs of the different teams within the business, • Train staff to use AI tools both efficiently and securely, • Work with our outsourced IT provider to ensure that we stay up to date with developments in AI security and integration, • Docker, Postgres, REST APIs, SFTP, Websockets, • OOP + Asynchronous Design Patterns, • PowerQuery/DAX/M, • Industry standard libraries used in software development within finance (pandas, numpy, scipy etc), • MS Graph, • Experience with the following technologies is nice to have:, • NodeJS, • Grafana, • VBA, • OpenAI API The Python Developer will have experience with the following: • Data processing and transformation, • Report maintenance/production, • Management of automated processes, • Use/management of virtual machines, • Investigation of reporting breaks/inconsistencies with an eye for detail, • The ability to quickly adopt and use the stack of previous developers, • Experience with migrations is a nice to have, • Market leading financial services organisation, • Initial 12 month FTC, • Global presence with offices in London The salary range/rates of pay is dependent upon your experience, qualifications or training. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Service Desk Engineer (2nd Line) London (North London) Hybrid (3 days onsite, 2 days remote) | Occasional client travel Are you an experienced IT support professional ready to take the next step in your career? Do you enjoy solving complex technical issues while delivering outstanding customer service, both remotely and face-to-face? We’re looking for a skilled Service Desk Engineer (2nd Line) to join our dynamic Service Delivery Team. About the Role As a 2nd Line Service Desk Engineer, you will be at the forefront of delivering high-quality technical support to our clients. You’ll handle escalated incidents, proactive monitoring alerts, and on-site visits, while helping to mentor and develop the 1st Line team. Key Responsibilities • Respond promptly to technical support requests via phone, email, and ticketing system, • Diagnose and resolve 2nd line and escalated tickets, as well as NOC monitoring alerts, within agreed resolution times, • Provide face-to-face technical support through pre-scheduled client site visits, • Accurately classify, prioritise, and document tickets with detailed notes throughout their lifecycle, • Keep clients and their IT teams regularly updated on ticket progress, • Identify recurring issues and contribute to permanent solutions, • Create and maintain technical documentation and knowledge base articles, • Deliver excellent customer service and a positive support experience at all times, • Manage your own ticket queue, triage effectively, and escalate where necessary, • Liaise with third-party vendors and partners to resolve complex issues, • Support, mentor, train, and develop the 1st Line Service Desk Analysts, • Stay up to date with the latest technologies and cyber security developments, and share knowledge with the team, • Achieve relevant Microsoft and technical certificationsWhat We’re Looking For, • Excellent customer service, telephone, and client-facing skills, • Minimum 2 years’ experience providing IT support across multiple technologies (MSP experience is highly desirable), • Proven experience attending client sites and delivering face-to-face support, • Strong troubleshooting and support experience in the following technologies:, • Windows Server (on-premise and Azure), • Active Directory (on-premise and Azure), Group Policy, Office 365, and SharePoint, • Microsoft Exchange, • Virtualisation technologies (Windows Virtual Desktop, Hyper-V, Virtual Machine Manager, vSphere), • Backup and Disaster Recovery solutions, • Cyber-security tools and concepts (EDR, MFA, AV, incident response), • Networking (TCP/IP, DNS, DHCP, LAN, WAN, Wireless, Switches, Routers), • Windows OS, macOS, and Microsoft Office, • Mobile device configuration and support, • Ability to configure, administer, and support both Windows and macOS devices, • Solid understanding of the cyber threat landscape and security best practices, • Proactive mindset with the ability to anticipate and prevent issues, • Excellent verbal and written communication skills – able to explain complex technical matters clearly to users of all levels, • A genuine passion for learning new technologies, demonstrated through certifications or personal projects, • Strong team player who is also highly self-motivated, • Calm and professional approach when dealing with difficult or demanding situations, • Full UK driving licenceWhat We Offer, • Hybrid working (3 days onsite, 2 days remote), • Varied and interesting workload across multiple client environments, • Opportunities to develop your technical skills and gain certifications

Junior – Mid Software Engineer Shoreditch | Well-funded startup This one’s for the engineers who know they’re capable of more than their current role is letting them show. We’re working with a small, well-funded startup in Shoreditch who are building something genuinely interesting and are now looking for a junior – mid level Software Engineer to join the team. You don’t need Ruby on Rails or Postgres experience coming in, they will train you. You do need strong fundamentals, curiosity, and the motivation to get better quickly. The setup • You’ll join the engineering team and sit between two highly technical co-founders / very experienced engineers, • You’ll write code every day and actually see the impact of what you build, • You’ll get real ownership early, with the support to grow into an exceptional engineer This will suit someone who: • Has 1–3 years’ experience in a commercial software environment, • Likely has a strong academic background (CompSci or similar), • Started out in a graduate or junior role at a larger company, • Has learnt solid engineering fundamentals but feels a bit… removed from the outcome, • Now wants pace, responsibility, and learning by doing, not just tickets in a backlog Why move? If you’re currently: • Writing plenty of code but not seeing the bigger picture, • One of many engineers with limited influence 📍 Office-based in Shoreditch 💡 Early-stage, well-funded, genuinely supportive team If this sounds like you (or close enough), drop us a message or apply via LinkedIn. We’re Motive Group – we work with startups and scale-ups and spend a lot of time helping engineers make smart moves, not rushed ones.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for the Senior Perception Engineer - Spatial Understanding & Navigation to join our team based in London, UK. What You'll Do • Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning., • Work on open-ended navigation powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments., • Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction., • Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness., • Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems., • Stay ahead of the field — rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For • Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures)., • Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data., • Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems., • Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot integration., • Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer • Competitive salary plus participation in our Employee Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Private Health Insurance, • Office perks: free hot breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

About Us: Here at c2c we take pride in being an award-winning train operator running services between Fenchurch Street and Shoeburyness, serving 26 stations in East London and South Essex. Our customers never stand still and neither do we. We anticipate, innovate and flex around our customer’s needs and it takes a great team to do this. We are looking for a dedicated and versatile individual to join our team as a Project Engineer. It is an exciting time to join c2c as we move into a new era of railway reform, aligning with Great British Railways (GBR) and the Department for Transport (DfT) to deliver a simpler, more connected and passenger-focused railway. Key Accountabilities: We are looking for a Project Engineer to be responsible for all engineering and technical disciplines that projects involve. You will schedule, plan, forecast, resource and manage all the technical activities aiming at assuring project accuracy and quality from conception to completion. These are really interesting, challenging and excellent development opportunities for the right individual. Key duties include: • Safety, cost, programme and quality requirements are met in the delivery of c2c maintenance/renewal projects across the Civils, Buildings and M&E Portfolio, • Identification of competent suppliers, issuing RFQs and evaluation of supplier price returns for safety, quality and cost value, • Compliance with c2c's financial governance procedures, • Work with Asset Manager and Project Manager to ensure scope definition and Technical Queries are managed to provide maximum whole life value, • Ensure contractor makes timely and adequate access requests, (track access, AMS 2.6) - review WPPs and site management documentation, • Liaise with c2c station management teams to ensure impact to stations operations are minimised during delivery of works, • Undertake site inspections / audits on track safety, quality and efficiency of site work (including out of hours and attendance during possessions), • Track and forecast contractor costs - report on under / overspend, • Ensure quality paperwork is compiled by contactor; review Entry into Service and Handback documentation, H&S Files and O&M Manuals in conjunction with Asset Managers and Project Engineer, • Ensure timely upload of information onto c2c's shared drives. Manage commercial close out. Experience, Knowledge & Qualifications Required: • Proven working experience as a Project Engineer, • Excellent knowledge of design and visualisations software such as AutoCAD, • Advanced MS Office skills, • Familiarity with rules, regulations, best practices and performance standards, • Ability to work with multiple discipline projects, • Project management and supervision skills, • Decision making ability and leadership skills, • Outstanding communication and negotiation skills, • Current engineer license, • Time management and organisation skills, • BS degree in Engineering or relevant field, • PTS AC (Sentinel Sponsorship to be provided by employer, i.e. not c2c), • Site Management Safety Training Scheme (SMSTS), • Knowledge of Network Rail standard's particularly 02009, 003, and 004, • Experience of using Microsoft Software and Google Suite Software., • Knowledge of c2c and Network Rail operations and geography.

About Joveo: Every company says they're "AI-first." We actually are. Joveo's recruitment advertising platform processes millions of hiring decisions through machine learning, real-time bidding, and predictive analytics — helping the world's largest employers find the right people, faster and fairer. But we're not done. Not even close. Role: Machine Learning Engineer Location: Remote Role Overview: We are hiring a Machine Learning Engineer to build the models and infrastructure that power Joveo's AI-driven hiring decisions. You will own the full ML lifecycle — from feature engineering to model deployment — ensuring our models are accurate, scalable, and production-ready. Key Responsibilities: • Design, train, and deploy machine learning models at production scale, • Build feature engineering pipelines and maintain feature stores, • Develop model evaluation frameworks and monitor production model performance, • Collaborate with data scientists to productionize experimental models, • Build and maintain ML infrastructure — training pipelines, serving layers, and registries, • Research and evaluate new ML techniques applicable to recruitment advertising Required Skills & Qualifications: • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or XGBoost), • Experience with end-to-end ML pipelines from data ingestion to model serving, • Familiarity with ML platforms (SageMaker, Vertex AI, MLflow, or Kubeflow), • Solid understanding of supervised, unsupervised, and reinforcement learning fundamentals, • Experience with feature stores, model versioning, and experiment tracking, • Strong software engineering skills — writing clean, tested, production-grade ML code Equal Opportunity Employer: Joveo is an equal opportunity employer. We are committed to building an inclusive workplace and welcome applications from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are made solely on the basis of qualifications, skills, and demonstrated ability. If your dream job is one that doesn't fit neatly into a job title — apply. Joveo. Where AI meets the future of work.

Founding Engineer Wellbeing Intelligence · Healf The builder. The one who is genuinely obsessed with what comes next. Not the technology stack. Not the architecture pattern. The thing underneath: the systems instinct, the zero-to-one appetite, the compulsion to build things that actually scale. You might be a staff engineer at a growth-stage company. You might be a principal at a larger tech firm who’s been quietly architecting the product others will inherit. There are engineers who built the first versions of Spotify’s recommendation engine, Monzo’s core banking layer, and Deliveroo’s dispatch system, products that now feel inevitable, who started exactly where you are now: staring at a blank canvas with a hard problem and no playbook. We don’t care about the title. We care about whether you have the technical depth to design a system from first principles, the product intuition to build for real users, and the conviction to make decisions with long-term consequences when no one is looking over your shoulder. Healf is Europe's fastest-growing health platform. £100M+ revenue run-rate. 700k+ customers. A high-retention, high-margin marketplace. Strong brand and distribution. We curate the world's best wellbeing products across EAT, MOVE, MIND, and SLEEP. That's the first chapter. The next chapter is harder and more interesting. Today, wellbeing decisions are primitive. Customers guess. They follow influencers. They try products and hope. We are building the system that changes that. A personalised wellbeing intelligence engine that understands behavioural patterns, captures longitudinal health data, and builds smart AI agents that help customers solve their wellbeing needs. A closed feedback loop. A decision engine, not just a marketplace. If we get this right, we don't just sell products. We become the operating system for how the world lives well. This is a 0→1 opportunity to build a net-new business line that could drive up to £250M in annual revenue in the next three years. You will build it from scratch. Why this role is Healf At Healf, we think engineering judgment is one of the most important forms of capital allocation in the company. Every architectural decision made in the next twelve months determines what is possible in the next five years. Every hire you make changes what the platform can become. That is why we do not see this as a conventional engineering leadership role. Engineering leadership is the functional label. Defining what a next-generation wellbeing intelligence platform looks like is the real job. We are not laying down tracks. We are deciding where the train goes. Somewhere right now there is a principal engineer at a Series B health-tech company who has spent three years making the right calls quietly. Who designed the system that works. Who has said no to things that looked fast but would have cost the company two years of rework. That person probably has never heard of Healf. They wouldn't click on a LinkedIn InMail. But if someone who understood what they actually cared about reached them with the right story at the right moment, they would listen. There is also a founding engineer at a well-known consumer tech company who is twelve months past the point where the work became maintenance. Who built the thing, watched it scale, and is now ready to build the next thing. They are not looking. But they are ready. These are the people we want. And this is the role those people will take. What you’ll own → The architecture. You will design the full wellbeing intelligence stack from first principles. Backend, data, ML systems. Infrastructure capable of learning from live user interaction. The choices you make in the next six months will define what's possible in year three. You will own those choices. → The build vs buy decisions. Every platform team reaches these inflection points. You will own them with authority and with the context to make them well. → The engineering principles. Not a style guide. The actual principles that govern how your team thinks about quality, velocity, and long-term consequences. You will define what good looks like here. → The technical strategy. You will partner directly with the CTO. This is not advisory. You will have real authority over the direction of the intelligence layer and the product platform it powers. → The team. You will grow and mentor the engineers who build alongside you. Every person you bring in raises the floor. You will build the nucleus that scales wellbeing intelligence. → The product feedback loop. You will work cross-functionally with Product and Design to ship. You will build via continuous experimentation. You will be close to real users and real outcomes. What you'll deliver in the first 12 months → A production-grade intelligence layer powering personalised decisioning for hundreds of thousands of customers → A scalable data architecture designed for international growth from the start → A high-talent engineering nucleus built around your judgment → Clear product differentiation driven by intelligence, not curation alone → A platform that others in health tech study and try to replicate Why you’re Healf You have built something from zero. Not joined after product-market fit. Not inherited a working system. You architected something from the beginning and watched it scale to meaningful usage. You know what that feels like in both directions — the early ambiguity and the later scale. You have made platform-level decisions with long-term consequences. And you have lived with them long enough to know which ones you got right. You have built or integrated ML and data-driven systems in production. Not in notebooks. Not as experiments. Shipped, live, used. You have influenced technical direction beyond your immediate team. Not through authority. Through judgment that others trusted. You have operated in a high engineering bar environment where architectural thinking was respected and expected. You are not looking for the next job. You are looking for the thing worth building next. The reality This is hard. It requires speed and precision. It requires building for scale without overbuilding. It requires making good decisions in conditions of genuine ambiguity, with real consequences, and without the luxury of consensus. You will sometimes be wrong. What matters is that your judgment compounds over time and your errors get smaller as the system gets bigger. If you want to spend the next two years building something foundational that others will be building on for a decade, this is that opportunity. Show us → A system you architected from zero. What were the first principles you started from? What did you get right early that saved you later? What did you get wrong, and how did it shape the next decision? → A build vs buy decision with real stakes. What did you choose, why, and what happened? → A moment where you saw how something would break six months before it did. What did you do with that knowledge? → An engineer you hired or developed who became better than you expected. What did you see in them that the CV didn't show? → Evidence that you can work at the intersection of engineering and product. Not just clean systems. Systems that serve real users. The deal Competitive base. Meaningful equity. Direct access to leadership from day one. We ask a great deal of the people who work here. Full ownership. Genuine commitment. Everything you have, for this chapter. In return, we will give you the same: the resources to build properly, a team worth leading, and the creative authority to do work that defines your career. We have built the fastest-growing health company in Europe with a team small enough that every person in it shapes the outcome. That is still true today. The next person we hire will change the trajectory of the platform. If the most important work of your career is ahead of you, this is the place to do it.

Senior Software Engineer | £70k–£95k | Python • FastAPI • AWS • EKS 🚀 Looking for a product-led engineering role in a recently profitable, high-growth scale-up? This isn't just about maintenance; it’s about building high-scale, cloud-native microservices and tackling a massive upcoming greenfield build. 🛠️ 💰 The Package: £70,000–£95,000 + Stock Options + Bonus 📍 Location: 1 day per week in London 🌍 Perks: Remote working, £1k annual flexible benefit, 30 days "work from abroad" p/a 🛠 Tech Stack: Python, FastAPI, gRPC, GraphQL, AWS (EKS), Microservices The Mission 🎯 This scale-up is transforming the insurance landscape through real-time data and telematics. By leveraging smart technology, they reward safe driving behavior with fairer, tailored premiums. Led by a new VP of Engineering, they are fostering a world-class engineering culture focused on autonomy, technical excellence, and high-volume, public-facing applications. What You’ll Do 💻 • Scale the Core: Build and maintain high-scale, cloud-native microservices using Python and FastAPI., • Greenfield Innovation: Play a key role in a long-term strategic product build from the ground up., • Domain Variety: Work in small, rotating product squads, giving you exposure to multiple technical domains and complex scaling challenges., • Modern DevOps: Operate within a sophisticated AWS environment utilizing EKS, gRPC, and GraphQL. What You Need ✅ • Technical Versatility: Deep experience in Backend Engineering. While the stack is Python-based, they value great engineers from various backend engineering backgrounds who are happy to cross-train., • Scale Mindset: Experience with microservices architecture and high-volume, public-facing apps., • Product Focus: A desire to work in "product-led" squads where you influence the what and the why., • Seniority: You bring a passion for clean code and architectural best practices. Interested in joining a profitable scale-up with a top-tier engineering pedigree? Let’s chat. 📩 Senior Software Engineer | £70k–£95k | Python • FastAPI • AWS • EKS 🚀

About Joveo: Every company says they're "AI-first." We actually are. Joveo's recruitment advertising platform processes millions of hiring decisions through machine learning, real-time bidding, and predictive analytics — helping the world's largest employers find the right people, faster and fairer. But we're not done. Not even close. Role: Computer Vision Engineer Location: Remote Role Overview: We are hiring a Computer Vision Engineer to build visual AI systems that extend Joveo's platform capabilities into image and video understanding. You will develop models that see, interpret, and act on visual data — solving real problems in document understanding, identity verification, and multimodal AI. Key Responsibilities: • Design and train computer vision models for classification, detection, and segmentation, • Build and optimize image processing and video analysis pipelines, • Deploy vision models to production with latency and throughput requirements, • Develop evaluation datasets and benchmarks for visual AI systems, • Collaborate with data, product, and platform teams on multimodal AI features, • Research and implement advances in vision-language models and foundation models Required Skills & Qualifications: • Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow), • Experience building and training CNNs, Vision Transformers, or object detection models, • Familiarity with OpenCV and standard image processing techniques, • Experience with model optimization techniques (quantization, distillation, pruning), • Knowledge of vision datasets, annotation workflows, and evaluation metrics (mAP, IoU), • Experience deploying vision models to production inference infrastructure Equal Opportunity Employer: Joveo is an equal opportunity employer. We are committed to building an inclusive workplace and welcome applications from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are made solely on the basis of qualifications, skills, and demonstrated ability. If your dream job is one that doesn't fit neatly into a job title — apply. Joveo. Where AI meets the future of work.

An innovative design tooling organisation in London are on the lookout for an AI Agent Engineer for their expanding team to work on developing core agent systems that power their platform. Role Responsibilities • Design and build agent systems in order to tackle complex tasks across multimodal environments, • Working on the data flywheel that will improve the agents performance over a long period of time, • Build the infrastructure required to train, evaluate, and run large-scale agent systems, • Working in a collaborative team in order to overcome challenges Role Requirements • 5+ years of experience in software engineering or a relevant field, • Experience with agent architecture in a professional environment via LLM/VLM reasoning and planning systems, • Educational experience highly preferred (PHD, Masters etc) in a relevant area, • Python or other deep learning frameworks, • Bonus if you have worked on agents interacting with real product environments, • London area based Salary - 140-160k base salary + wider package Hybird position This role CAN offer sponsorship if needed If you have the required experience and skillset please apply for immediate consideration!

About Joveo: Every company says they're "AI-first." We actually are. Joveo's recruitment advertising platform processes millions of hiring decisions through machine learning, real-time bidding, and predictive analytics — helping the world's largest employers find the right people, faster and fairer. But we're not done. Not even close. Role: AI Engineer Location: Remote Role Overview: We are hiring an AI Engineer to design and deploy AI systems that directly shape how Joveo's platform understands jobs, candidates, and markets. You will build the models, pipelines, and infrastructure that turn raw data into intelligent, real-world decisions — at scale. Key Responsibilities: • Design, train, and deploy machine learning and AI models in production, • Build LLM-powered features including classification, extraction, and generation, • Develop evaluation frameworks to measure model quality and performance, • Collaborate with data engineers to ensure clean, well-structured training data, • Monitor deployed models for drift, degradation, and edge case failures, • Research and experiment with new AI techniques relevant to hiring and talent Required Skills & Qualifications: • Strong foundation in machine learning, NLP, or applied AI, • Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn), • Experience building and deploying LLM integrations or fine-tuned models, • Familiarity with model serving infrastructure (e.g., SageMaker, Vertex AI, BentoML), • Solid understanding of vector databases, embeddings, and retrieval systems, • Ability to communicate technical findings clearly to non-technical stakeholders Equal Opportunity Employer: Joveo is an equal opportunity employer. We are committed to building an inclusive workplace and welcome applications from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are made solely on the basis of qualifications, skills, and demonstrated ability. If your dream job is one that doesn't fit neatly into a job title — apply. Joveo. Where AI meets the future of work.

Telecoms Engineer (Rail) – Contract Roles - 9 Contractors Required 📍 East London | ⏱ 40 hours per week | 💷 £50/hour + Overtime | 📅 Ongoing Contract We are currently seeking an experienced Telecoms Engineer to support ongoing rail infrastructure works in East London. This is a long-term contract opportunity offering consistent hours and competitive rates, with overtime available. 🔧 Key Requirements • Valid IRSE Maintainer and Fault Finder licence, • PTS certification (any restrictions must be declared in advance) with DC lines competency, • Full UK manual driving licence 🛠 Technical Experience (Minimum 3 required) Candidates must have strong experience in at least three of the following systems: • Tunnel Telephone Systems, • Networking (switches, routers, firewalls), • Telecoms cabling, • SCADA systems, • Legacy FTN systems, • GSM-R, • PAVA / PCDVA systems, • VIDs / THIDs, • Signalling control systems, • Train describers, • SSI interlocking, • ARF / ARS, • Telecoms UPS and DC rectifiers ⭐ Desirable • Background in telecommunications engineering within rail environments, • Ability to work independently and as part of a wider project team, • Strong fault-finding and maintenance capability 💼 What’s on Offer • £50 per hour, • Overtime opportunities, • 40-hour work week, • Long-term, ongoing contract, • Work on critical rail infrastructure projects If you meet the above criteria and are available for an immediate or upcoming start, we’d like to hear from you. 👉 Apply now or get in touch for more information.

Security Operations Specialist Location – London (minimum 3 days in office per week) Salary - £100-120k + 20-30% Bonus + Great Benefits Currently working with a UK Investment Management firm who are in the process of building out their Cyber Defence capability and looking to bring in a cloud-based Security Operations Specialist, with a blend of both Analysis and Engineering experience. You will be dealing with the escalated alerts from a 3rd party MSSP, investigating and responding to the most complex incidents whilst building out IR Playbooks and Processes and developing the internal Threat Hunting capability. You will act as a mentor to the more junior Analysts within the team and play a pivotal role in shaping how the SOC capability is built. This is an incredible opportunity for an experienced Senior SOC Analyst / Engineer to join a growing yet established firm at a crucial point as they completely build out their Information and Cyber Security capability. Whilst they have the fundamentals in place, this is a completely greenfield SOC buildout, where you will work alongside the Head of SecOps to shape their SOC monitoring, detection and response function. Key Responsibilities: • Act as a lead and technical escalation point on the most complex incidents and investigations., • Proactively look for opportunities to automate, fine-tune and streamline the detection engineering and general SOC capabilities., • Utilise various internal and external Threat Intelligence feeds to execute proactive threat hunting campaigns., • Mentor and train junior team members through complex incident response investigations. Key Requirements: • Significant experience working in a SOC environment (5+ Years), responding to and containing the most high-profile, escalated incidents., • Comprehensive knowledge of the Microsoft Security stack – Defender, Sentinel, E5 Security Suite, etc, • Proven experience building detection rules, fine-tuning and streamlining SOC tooling and capabilities., • Experience working in cloud-native SOC environments – Azure and/or Azure. If you’re an experienced Security Operations Specialist, looking to shape how one of the most innovative Investment Management firms build out their cyber defence capability and leave a lasting impact on one of the most reputable organisations whilst working alongside a team of genuine Cyber Security SMEs, click the to apply or get in touch directly –

Network Security Engineer East London | Hybrid 12-month fixed-term contract | £60,000 - £70,000 Potential to convert to permanent A purpose-led organisation based in East London is looking to appoint a Network Security Engineer on a 12-month fixed-term contract. This is an opportunity to join a business with a strong social impact, supporting the security and resilience of critical technology services. This role would suit someone with a strong networking foundation and proven hands-on security experience, particularly across technical security assessments, operational monitoring, vulnerability triage, and security tooling. The position sits at the intersection of network security engineering, technical assurance, and security operations, so it could also appeal to candidates from an information security analyst or technical assurance background. The Role The successful candidate will play a key role in strengthening the organisation’s security posture across network infrastructure, tooling, and operational processes. The role will involve both day-to-day security monitoring activity and broader engineering work, including integrations, tooling configuration, and continuous improvement across security and network operations. Key Responsibilities • Carry out technical security assessments across network and security environments, • Support the implementation and integration of security technologies and controls, • Monitor service availability and help identify, investigate, and respond to security threats, • Triage vulnerabilities and work with internal teams to support remediation activity, • Use, maintain, and configure SIEM and monitoring tools across NOC and SOC environments, • Gather and analyse information from a wide range of security and infrastructure tools, • Handle operational tickets, escalations, and incident support across 1st and 2nd line activity, • Develop and improve NOC and SOC procedures and support operational best practice, • Work closely with Security Analysts and wider teams on threat mitigation and incident response, • Support and train monitoring engineers within live operations environments Key Requirements • Previous experience in a Network Security Engineer, Security Operations, Technical Assurance, or similar role, • Strong background in networking, with a solid understanding of secure network design and operations, • Hands-on experience with technologies such as Zscaler, Palo Alto, and Vault, • Experience working within SOC and/or NOC environments, including monitoring and incident support, • Knowledge of SIEM platforms, vulnerability triage, and security event analysis, • Experience identifying security threats and supporting incident response activity, • Comfortable working across both operational support and engineering/improvement work, • Strong communication skills with the ability to collaborate across technical teams Desirable Experience • Experience implementing or supporting security integrations, • Exposure to security monitoring in regulated, public sector, or mission-driven environments, • Experience helping to define or improve operational security procedures and processes Package • Salary of circa £60,000 - £70,000, • 12-month fixed-term contract, • Strong possibility of the role converting into a permanent position, • Opportunity to join an organisation with a genuine social purpose, • An East London-based role with a hybrid working environment

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

Our client, a well respected Building Services Commissioning Consultancy, would like to recruit a Commissioning Engineer with 1-5 years' air and water balancing experience.\n\nThey would like to train you to become a Commissining Manager.\nYou will have access to excellent and career-making training, leading to a building services qualification.\n\nThis is an excellent opportunity for someone with a bit of experience to push your career forward

If you're looking to join a company with a dynamic vision for the future, set your sights on a challenging career with Nikon Metrology. We develop a wide range of measurement systems for dimensional quality control deployed worldwide in automotive, aerospace, and other manufacturing industries. We are looking for an experienced and enthusiastic Field Service Engineer X-Ray based in the south of London. You will be working in the field. What is your role? A Field Service Engineer will be responsible for the troubleshoots, calibrations, services, installations and repairs of all Nikon Metrology systems at customer sites. The Field Service Engineer maintains documentation for each job carried out and ensuring the documentation is returned to the Service manager or coordinator, completed once the job is complete. They will have to provide assistance to the Technical staff and support to dealers. What are your key areas of responsibility? • Responsible for meeting daily service repair needs and driving customer satisfaction, • Installs, calibrate, repairs and maintains equipment in the field;, • Be a technical expert on his product domain, follow trainings, and provide trainings, • Documents all inspections, maintenance, repair work and submits paperwork in a timely basis, • Ensuring parts and consumables are available for jobs and return of parts if required making sure that serial numbers are logged of parts replaced., • Participates in service sales opportunities and assists with promoting and implementing revenue programs., • Ensures that tools and test equipment are properly maintained and calibrated, • Provide technical support to service customers., • Establishes and maintains a close relationship with departments in order to support the needs of the customer and remain aware of current technical trends., • Comply with and ensure department compliance with Company health, safety and environmental policies., • Identify product and process improvements., • Train junior colleagues, write service manuals and/or procedures to assist in this process, • Other duties as required., • Travel from Monday to Friday across the country What are your ancillary responsibilities? The service engineer needs to work on his own; he needs to solve the customer cases, and can ask advice. As the service engineer is most of the times alone at customers site, the service engineer needs to communicate well with the back office. The service engineer has to have a high level of problem solving skills, thinking out of the box What are your required qualifications and competencies? ESSENTIAL • Master or Bachelor degree in Engineering ( electronics, electro-mechanics) or equivalent through experience working on technical products, • Excellent knowledge of English, any other language is an asset, • Experience with technical products, • Excellent IT skills for working with Windows, Word, excel and outlook, • Computer literacy, competency in use of all programs within MS Office Suite, • Technical background : electricity, mechanics, electronics, pneumatics, • Electrical drawing ability and good technological watch level. DESIRABLE • Field service experience/ Customer oriented, • Customer service skills. Why Nikon Metrology? At Nikon Metrology, our success is achieved by our employees. Clearly defined common goals, objectives, and priorities, create a foundation to work with pride and confidence. Our employees highly value the supportive and collaborative working environment and we share our passion for technology and innovation. Interested? Do you see yourself as our new Field Service Engineer X-Ray? Please send your CV and letter of motivation to . We look forward to your application!

Start Your Career as a Trainee Field Service Engineer with Hotpoint Are you ready to launch a hands-on career with one of the UK's most trusted appliance brands? Hotpoint is offering an exciting opportunity to train and qualify as a Trainee Field Service Engineer. No experience? No problem - we'll give you all the training you need to succeed! If you enjoy fixing things, love working with your hands, and want a job where every day is different, this could be the perfect fit for you. About the Role As a Trainee Field Service Engineer, you'll be out on the road, visiting customers' homes to diagnose and repair household appliances. You'll be the friendly face of Hotpoint, helping people get their appliances back up and running. What you'll be doing: • Driving your own Hotpoint van to customer appointments, • Diagnosing and repairing appliances like tumble dryers, electrical cookers, washing machines, • Providing top-notch customer service, • Managing your tools and spare parts stock We'll fully support you from day one with a blend of classroom learning, hands-on experience, and on-the-job training: • Welcome Induction (2 days) - Meet your team, collect your equipment, and learn key safety info, • Shadowing - Join an experienced engineer on the road to see the job in action, • Phase 1 Training (2 weeks) - Technical training at our specialist centre in Peterborough, • On-the-Job Learning (6 - 9 months) - Build your skills with real customers We're looking for people who are: • Passionate about customer service, • Interested in electrics, mechanics, or hands-on problem-solving, • Hold a full UK manual driving licence, • Physically fit - able to move and lift appliances, • Eligible to work in the UK, • Pay: £29,367 - £30,512 per year (daily rate equivalent via umbrella company), • Bonuses: Commission + overtime opportunities, • Vehicle: Fully equipped company van + fuel card, • Time Off: 20 days holiday + bank holidays increasing to 25 days once permanent, • Learn from the best with industry-leading training, • Join a globally respected brand trusted by millions, • Enjoy a secure career path with opportunities to grow This is more than just a job - it's the start of a long-term career where you'll learn new skills, meet great people, and be proud of what you do. Hit Apply and take the first step to becoming a fully qualified Field Service Engineer with Hotpoint. For further information please contact the academy team!