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

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

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

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

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

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

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

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

Front Desk Receptionist - London.Hotel Indigo K West Shepherd's Bush.From seamless check-ins to tailored recommendations, you'll create meaningful moments that make our guests' stay unforgettable.So if this sounds like you, then come join the pre-opening team as we get ready to open our doors in Feb

As Reception Supervisor, you are the on-shift lead for the front desk - bridging the Host team and the Reception Manager. You run the reception operation in real time: setting the tone of welcome, managing bookings and walk-ins, keeping guest flow smooth, and handling escalations with calm professio

Support elite performance with exceptional care. The Health Partners Europe Group (HPE, Sempris and Formis) operate at the heart of elite and professional sport across the UK. For over thirty years, Health Partners has developed and maintained a comprehensive, unified ecosystem covering healthcare, performance and risk governance. Through three closely aligned businesses, we coordinate care for professional athletes across football, rugby, cricket, and over 75 sporting disciplines (Health Partners), alongside the provision of specialist indemnity insurance for sports medics (Sempris) and the data driven performance management of elite athletes (FORMIS). Our clients include Premier League Football Clubs, National Governing Bodies, National squads, academy, youth and disability players. We facilitate the medical care of more than 97% of all professional football players across the 92 clubs in the Premier League and English Football League. We are trusted by some of the largest sporting organisations in the world for our discretion, governance, and ability to build and maintain complex healthcare systems. The group continues to grow and we are looking for Client Engagement & Project Administration Executive – Sports Health & Performance Software Location Sutton (Full Time, Office-Based) • Primary base: Health Partners Offices, Sutton, • Regular travel to London offices, • Occasional travel to client sites or company offices as required Reporting Line Reports to: International Client Manager Key Relationships • Software Developers, • Client Managers, • Project Lead, • External Clients Company Overview FORMIS is a leading international provider of medical and performance record software for elite sports teams. Our platform supports professional clubs, national teams, and performance-driven organisations by enabling them to track, analyse, and optimise athlete performance and wellbeing. We pride ourselves on delivering high-quality software, client support, and continuous product innovation. Role Overview The Client Engagement & Project Administration Executive plays a key frontline role in delivering outstanding client support and coordinating project activity. Working closely with the International Client & Project Lead, this position combines customer service, training delivery, project administration, software testing, and operational support. A critical element of the role is gathering, analysing, and translating client feedback into actionable insights that inform ongoing software development and product improvement. The role also involves system testing, bug reporting, client training, and live support via the help desk. This is a structured, office-based role with regular working hours in Sutton, supported by occasional travel depending on client and project requirements. Key Responsibilities Client Support & Engagement • Provide responsive client support via live chat (Crisp), email, and occasional phone calls, • Maintain accurate records of client communications and requests within CRM systems, • Build and maintain strong working relationships with sports clubs, national teams, and performance organisations, • Support clients with performance data management, reporting, and analytics, • Deliver bespoke client reports using integrated dashboards and analytical tools, • Collaborate with the development team to resolve issues and improve system functionality Software Testing & Product Feedback • Test system updates and new features prior to release, • Log bugs and development requests using Trello, • Gather, interpret, and document client feedback, • Contribute insights directly into product development roadmaps Training & Product Familiarisation • Deliver face-to-face, remote, and on-demand training for new and existing users, • Create and maintain user support documentation and training materials, • Stay informed on developments in elite sports science, performance analysis, and data analytics Project Coordination & Internal Collaboration • Support the International Client & Project Lead with project planning and coordination, • Assist with sprint planning and software update rollouts, • Use Trello and Pumble for task tracking and internal communication, • Maintain accurate client and operational data within Capsule CRM Business Development & Marketing Support • Assist with client engagement initiatives and promotional activities, • Support relationship development with new and existing clients Regulatory Compliance & Confidentiality • Ensure full compliance with GDPR and data protection regulations, • Handle sensitive medical and performance data in line with governance policies, • Participate in mandatory compliance and data privacy training Administration & Operational Support • Provide day-to-day administrative and operational support, • Assist with contract administration, invoicing, and documentation, • Remain flexible and proactive as responsibilities evolve with business needs Professional Development • Participate in ongoing training and professional development, • Attend regular performance reviews with senior management, • Engage in relevant formal education or certification opportunities

Principal Recruitment Consultant - London.Academics Ltd, a leading education recruitment business, is seeking an experienced Principal Recruitment Consultant (London) to take ownership of a high-performing desk and drive continued growth.This is a senior opportunity offering true autonomy, market-le

Senior IT Service Desk Analyst Full time, Permanent Location – Glasgow with regular travel across other sites Closing date: 19 January Who we are: We’re not just talking about making a difference, we’re making it happen. We generate dispatchable, renewable power and create stable energy in an uncertain world. Building on our proud heritage, we have ambition to become the global leader in sustainable biomass and carbon removals. You’ll be joining our teams of practical doers, future thinkers and business champions. We’re enabling a zero carbon, lower cost energy future for all, and working hard to decarbonise the planet for generations to come. About the role: You’ll be an integral part of the global Service Desk team, solving IT related issues for colleagues across the UK, North America, Canada and Japan. You’ll get to put your passion for delivering great customer service and high-quality support to good use. Day-to-day, you’ll ensure issues are resolved within agreed SLAs and help to deliver continual Service Improvements across the wider business. The role will also involve providing technical expertise to other IT functions. Some other duties include – • Liaising with and providing technical expertise to other IT functions across the Drax Group, • Being the subject matter expert within the Service Desk for a defined list of systems and technologies, • Working with project teams to prepare for and onboard new and updated services, • Identifying process improvements within the Service Desk areas of responsibility, • Identifying opportunities to expand the scope of support provided within the Service Desk, embracing and encouraging a ‘shift left’ approach in collaboration with other support teams and service providers Please note, this role covers regular travel across our Scottish hydro sites. Who we’re looking for: You’ll be a strong communicator, keen problem-solver and love to contribute your ideas for improving processes. You’ll also have experience with the below: • Windows operating systems, • Active Directory/ Azure Active Directory / Group Policy, • Microsoft Office/ Microsoft Exchange/ Office 365/ Microsoft Cloud Services, • Mobile Device Management, including Windows and Apple devices, • Installation, configuration, troubleshooting and maintenance of desktop hardware and software Rewards and benefits: As you help us to shape the future, we’ve shaped our rewards and benefits to help you thrive and support your lifestyle. If successful in this role you’ll get: · A discretionary bonus depending on company performance · Private Healthcare · SAYE (Sharesave): discretionary scheme from time to time · Personal accident cover · Group personal pension plan where we’ll pay up to 10% · Holiday 25 days plus bank holidays · Reimbursement of the cost of your annual membership of one relevant and appropriate professional body We’re committed to making a tangible impact on the climate challenge we all face. Drax is where your individual purpose can work alongside your career drive. We work as part of a team that shares a passion for doing what’s right for the future. With Drax you can shape your career and a future for generations to come. Together, we make it happen. At Drax, we’re committed to fostering an environment where everyone feels valued and respected, regardless of their role. To make this a reality, we actively work to better represent the communities we operate in, foster inclusion, and establish fair processes. Through these actions, we build the trust needed for all colleagues at Drax to contribute their perspectives and talents, no matter their background. Find out more about our approach ___ Talk to us about flexible working! How to apply: Think this role’s for you? Click the ‘apply now’ button to begin your Drax journey. If you want to find out more about Drax, check out our ___ to see our latest news. We understand that you may have some additional questions about the role. If you’d like to have a confidential chat to discuss the role in more detail, please email We reserve the right to close roles early when the particular role and / or location has had sufficient applications

Working with traders, quants, and engineering teams, you will monitor trading systems, investigate issues, assist with strategy rollouts, and streamline workflows through automation. Collaborate with engineering teams to enhance system robustness and performance.

Our client is a top tier global proprietary trading firm that blends advanced technology, quantitative rigour and deep market expertise.

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

Quality Analyst Central London (Hybrid working) Up to £50,000 per annum depending on experience + excellent benefits package Finance Sector Open to graduates & entry level candidates Shirley Parsons is proud to partner with a long-standing client to support the expansion of their Quality team. We are excited to introduce a newly created Quality Analyst opportunity. This role has been established as a result of continued business growth and offers an excellent opportunity for graduates or entry-level professionals with a passion for quality, business improvement, and assurance. This position of a Quality Analyst, plays an important role in supporting Quality Specialists deploy assurance and improvement initiatives across various divisions to optimise the use of resources and deliver service/system enhancements. Quality Analyst responsibilities: • Prepare audit plans, audit packs for the audit team, • Conducting outcome-based QA checks on auditors’ concluded audits to ensure adherence to policies, • Develop Quality Assurance Management Information dashboards and provide feedback to the relevant stakeholders on a regular basis, • Administer Voice of Customer surveys, monitor responses, and escalate where necessary, • Understand and assist in enhancing the customer experience, • Conduct SLA review on internal procedures to provide insights to Quality Specialists on areas that require improvement, • Perform critical analysis of issues identified by staff, including identifying root cause(s), and identifying value-added opportunities for improvement in a timely manner, • Help improve processes and improve best practises, • Ability to manage and analyse complex data sets, define problems, collect data, establish facts, and draw valid conclusions., • Carry out documentation and policy reviews as needed, • Maintain a thorough understanding of company process and policy requirements, • Facilitate external auditor requests and provide information in timely manner, • Become the Quality Tech ambassador for systems utlised internally, • Support the induction of new hires and ensure the Quality & Business Improvement processes are adopted from the start Quality Analyst Key personal attributes, competencies & skills: • Exceptional professionalism, • Customer Centric (internal and external) living service quality ethos, • Attention to detail with the ability to produce Quality reports and dashboards suitable for stakeholders at all levels in the organisation, • Calm and organised, with the ability to work to strict deadlines and manage the completion of multiple duties or tasks simultaneously., • An analytical and enquiring mind with logical reasoning and the ability to build trust in others., • A creative approach to problem solving, demonstrating the ability to think outside the box., • Ability to work independently with minimal supervision and in a team environment., • Excellent interpersonal and influencing skills, • Excellent written skills to author, develop and present professional written reports., • Ability to engage others, • Ability to work effectively with virtual teams in different time zones, • Ability to listen effectively to a variety of audiences and interpret and present data succinctly in different formats to evidence understanding., • Strong customer service skills, • Office 365 confident, • Knowledge working with Atlassian Suite (Jira Service Desk), Asana, Copilot, • Project management experience welcomed

Trainee Recruitment Consultant – London HQ Are you a natural competitor? Relentlessly driven by success? Ready to earn serious money and fast-track your career in a high-performance sales environment? At g2 Recruitment, we don’t do average. We develop elite recruiters and salespeople who go on to become industry leaders, top billers, and company directors — and we’re looking for the next wave of ambitious talent to join our London office, one of our highest-performing teams globally. We're part of the G2V Group — an award-winning recruitment powerhouse with 400+ consultants across 23 offices in the UK, Europe, and the US. Every single one of our top performers — from consultants to our CEO — started where you are: at the entry level. We promote 100% organically, based purely on merit. If you're ready to bet on yourself, outwork the competition, and earn what you’re really worth — this is your moment. What You’ll Do (The Role): As a 360 Recruitment Consultant, you'll manage the full sales cycle — from winning new clients to placing top-tier talent across high-demand sectors like Tech, Engineering, and Life Sciences in the UK and Europe. You’ll be: • Building your own client portfolio through proactive outreach, networking, and pitching, • Sourcing high-level candidates and managing the full recruitment process, • Becoming a market expert in your chosen niche, • Owning your digital presence – LinkedIn, personal brand, marketing, • Working directly with decision-makers in fast-moving industries, • Closing deals, hitting targets, and earning commission from day one What’s In It For You: We don’t cap earnings — we reward output. Our environment is designed for high performers to excel and accelerate. • Base salary: £24,000 - £25,250, • Uncapped commission from day one, • Year 1 OTE: £30k–£45k+, • Year 2: £50k–£70k+, • Year 3+: 70k–£100k+, • Direct mentorship from top billers and sales leaders — no gatekeeping, • World-class training: 45 hours of expert Learning & Development in your first 3 months, • Monthly Michelin-star lunch clubs (Sexy Fish, Amazonico, Quilon, The Pem & more), • All-expenses-paid holidays – Ibiza, Marbella, Dubai, Barcelona, • Weekly wellness lunches, gym discounts & regular socials, • Career progression in 12-18 months – Team Lead & beyond We’re Looking for People Who Are: • Ultra-competitive, goal-oriented, and thrive in target-driven environments, • Financially motivated — you want more than just a paycheck, • Confident, persuasive communicators — whether it’s on the phone or in person, • Sociable, resilient, and unafraid of rejection, • Recent grads or early-career professionals ready to go all-in on their career, • Hungry to build something that’s 100% yours — your desk, your market, your success No prior recruitment experience is needed. We’ve hired ex-athletes, salespeople, hospitality staff, recent graduates — what they all have in common is a Elite work ethic and a desire to win. Ready to Start Earning What You’re Worth? If you’ve got the ambition, we’ve got the platform. Apply today to secure an interview or reach out directly to with any questions. Your future in high-performance sales starts here.

Our client, a leading global hedge fund, is seeking an experienced Quantitative Developer to join their Fixed Income desk in London. This is a high-impact role where you will work at the intersection of technology, risk, and trading, contributing to the development of cutting-edge solutions that underpin the firm's risk and P&L infrastructure. The position offers exposure to complex financial instruments and the opportunity to collaborate with some of the most talented professionals in the industry. The ideal candidate will bring deep expertise in Fixed Income products within a risk environment, combined with strong quantitative and programming skills. You should have hands-on experience with risk metrics, margining, and optimisation techniques, as well as a solid understanding of risk, treasury, or trading functions. This is an excellent opportunity for someone who thrives in a fast-paced environment and wants to make a tangible impact on the performance and resilience of a world-class investment platform. Responsibilities: • Design and implement software solutions to support core risk and P&L systems, • Partner closely with Fixed Income Risk Managers, Traders, and Researchers to gather requirements and deliver tailored solutions, • Develop analytics and reporting frameworks to compute, aggregate, and visualise risk measures, • Build tools and processes to analyse large volumes of market and trade data across bonds, swaps, futures, and options, • Ensure consistency, transparency, and robustness within the Fixed Income risk infrastructure Key Requirements: • Proven experience with Risk Metrics, Margining, and Optimisation techniques, • Strong knowledge of Risk, Treasury, or Trading functions, • Solid mathematical background, • Proficiency in Python coding, • Minimum 5 years of hands-on Fixed Income experience within a risk department, • Excellent stakeholder management skills

Role Outline Do you want to help build the future of humanoid robots? We are looking for skilled Senior Full Stack Software Developers to join our software development team. You will work closely with cross-functional teams to develop, maintain, and enhance both our cloud based web apps (including front-end and back-end components), as well as local software functionality executing on-robot. In this role, you will leverage your expertise to build scalable and user-friendly solutions that align with business goals. Creativity, problem-solving, and a passion for delivering high-quality code are key elements of this role. We’re seeking developers with mid to senior level of experience who will rapidly integrate into our team and deliver valuable contributions. Our internal motto is “Be Wow”, our robots are wow and we seek engineers who embody this in their work by building intuitive, effective systems that delight users and drive success. Main Responsibilities • Develop and maintain full-stack web applications, • Develop and maintain on-robot software systems, • Collaborate with cross-functional teams, • Debug, maintain and extend the codebase Challenges • Ensuring our cloud platform provides a smooth user experience while handling complex business logic., • Ensuring robots function reliably and repeatably in their interaction with our cloud services and their local execution of associated behaviours., • Working within an existing large and complex codebase., • Working in a fast-paced environment with evolving project scopes., • Achieving functional goals with the constraints of complex real-life hardware. Opportunities • Working at the forefront of the rapidly growing field of humanoid robotics., • Working in a creative environment with highly skilled and committed colleagues., • Work across a broad technical field with ample variety in tasks and opportunity to deepen your knowledge and experience in many areas., • Working on a proven, commercially successful product consistently shipping units., • Working on a modern Linux-based stack prioritizing performance and developer ergonomics over industry conventions., • See the fruit of your labour! Interact with customers using our robots and see the wonder and joy of people reacting to robot behaviors you created., • Gain guidance from experienced developers, designers, long-term customers and a mature yet fast-moving codebase. Qualifications, Knowledge, Key Skills and Experience Essential: • Experience with TypeScript and React for building dynamic, responsive front-end applications., • Back-end development experience in Python, particularly with frameworks like Django or Flask, or equivalent experience in other back-end languages like Node.js with Express., • Familiarity with Linux system development, • Familiarity with designing and consuming RESTful APIs., • Experience with Git and collaborative version control practices., • Experience in writing unit-tested, maintainable, and scalable code., • Understanding of CI/CD pipelines., • Experience building products with Large Language Models (LLMs) and integrating them into production environments., • Experience developing in C++ and/or Rust, • Experience in CI/CD pipelines to automate testing, deployment, and release management., • Knowledge of cloud platforms (AWS, Azure, etc.)., • Experience with Docker, Kubernetes and containerized application deployment., • Experience working on real time systems such as video games or IoT installations., • Exposure to embedded systems or hardware integration, with a focus on optimizing interactions between software and physical components. About Engineered Arts Engineered Arts is the leading manufacturer of full-size humanoid robots used for entertainment, education and communication. With 20 years of hardware and software development, our robots have been sold in over 30 countries worldwide with customers such as NASA, PwC, Meta and many more. Our Ameca robot is well known as ‘the face of AI’ and a social media viral success, taking advantage of the generative AI craze. Along with our ultra-realistic Mesmer range of animated figures our robots continue to surprise and excite visitors at museums, theme parks, visitor attractions and trade shows as well as aid leading universities with AI and robotics research. Our robots are poised to break into the future mega-expansion service robot segment, with applications such as front of house, receptions, check-in desks, information points and PoS. We are also exploring how our humanoid robot technology can disrupt other robotics sectors by expanding their applications into areas such as hospitality, front desk and healthcare industries. We are a team of dedicated engineers and creatives striving to develop the very best experiences for our customers. Our internal motto is ‘Be Wow’, everything we do is fun, entertaining or surprising to encounter. We always push the boundaries of what is possible in humanoid robotics, researching and developing new systems and techniques to further their appeal. We explore and challenge the human perception of robots as well as the fear and discomfort and the excitement and joy life-like mechanical humanoids present. “Diversity & Inclusion at Engineered Arts At Engineered Arts, innovation is at the core of everything we do — and we believe true innovation only happens when diverse minds come together. We are committed to building a workplace where people of all backgrounds, identities, and perspectives feel welcome, supported, and empowered to contribute. Whether you’re an engineer, developer, or creative thinker, we value what makes you unique. We actively promote inclusion across our hiring, design, and development practices, and we’re always looking for new ways to reflect the world around us — in our team, our robots, and our ideas. Because building the future means including everyone in it.” We are committed to equal opportunity in employment and comply with all applicable non-discrimination and equal employment laws in the regions where we operate.

TechShack are working with with a high-performing quantitative trading firm building out their HFT desk. They trade globally across major liquidity venues and are hiring a Front Office Trading Systems Engineer (Rust/C++) to work on the hot path - the systems closest to trading and PnL. This is a Rust-first role (production Rust), but open to elite C++ engineers who are happy to work Rust day-to-day. Location: London preferred (hybrid). Remote considered for exceptional profiles, but priority is London-based candidates. Compensation: £150,000 - £250,000 total comp + meaningful PnL-linked upside (role and impact dependent). What you’ll work on You’ll sit with senior engineers and work directly with traders/quants to build and optimise the top layer of the stack: • Hot-path trading systems: market data → strategy interface → order generation → risk checks → routing/execution., • Tail latency / jitter work: profiling, instrumentation, removing bottlenecks, improving p99/p999 behaviour under load., • Low-latency engineering: CPU affinity, memory layout, lock-free patterns, async/event-driven systems, network behaviour., • Production outcomes: robustness, observability, and performance that holds up in live trading (not “lab only”)., • Desk adjacency: translating research/ideas into production trading behaviour alongside quants. What we're looking for • 3+ years in performance-critical systems., • Proven low-latency / HFT trading background (prop, market maker, quant fund, or equivalent)., • Strong hands-on Rust or C++ in production (Go considered if the latency story is real)., • Evidence you’ve owned meaningful parts of FO systems (not just generic infra), e.g. market data handlers, order gateway, execution/routing, pricing/risk checks, simulation/backtesting support., • Comfortable explaining what you changed, how you measured it, and the impact on latency/throughput/stability. Nice to have: • Exchange protocols (FIX, ITCH/OUCH/binary feeds, multiplexed WebSockets), colocation realities, Aeron/SBE., • Kernel bypass / DPDK / tuning Why this role • Trading desk environment (fast feedback, clear ownership)., • Real upside tied to desk performance., • Small, senior team - you’ll ship things that matter. If you’ve built front-office trading systems in production (market data / execution / risk / routing), apply to this advert or reach out directly to discuss the details on a call.

Platform Engineer – Electronic Trading 📍 London | Hybrid (3 days in the office per week) We’re hiring a Platform Engineer to help build a new electronic trading platform from the ground up, running in a private cloud environment. This is a hands-on role sitting close to the trading desk, focused on performance, reliability, and scale in a fast-moving front-office setup. What you’ll be working on • Building and running a private-cloud platform for a greenfield electronic trading system, • Supporting low-latency on-premises environments, performance-critical workloads, • Working day-to-day with developers and the trading desk to keep systems fast, stable, and observable Core skills • OpenShift & Kubernetes, • Strong Linux background, • Performance optimisation in production environments, • Terraform for infrastructure as code, • HashiCorp Vault (or similar secrets management), • Private cloud infrastructure Experience that matters • Background in electronic trading systems (eFX, Equities, Fixed Income, etc.), • Experience supporting front-office platforms and working closely with traders, • Comfortable in environments where performance and uptime are non-negotiable Location & setup • London, • Hybrid: 3 days per week in the office Important • No sponsorship available – candidates must already have the right to work in the UK

C++ Developer - Strategy Implementation & Alpha Signal Engineering We are currently working with a leading global quant fund that's scaling its Strategy Implementation and Development Desk - a high-impact team operating at the intersection of quantitative research and real-time execution. They are seeking high-performance C++ developers to work on signal implementation, execution algorithms, and real-time alpha-capturing models. This is a speed-critical environment where your code directly impacts trading outcomes. Responsibilities: • Design and implement real-time trading strategies and execution algorithms in C++20, leveraging GCC 12., • Collaborate closely with quantitative researchers to translate models into production-ready code., • Optimise systems for ultra low latency, throughput, and determinism., • Monitor and improve live trading performance, identifying bottlenecks and tuning systems. Requirements: • Strong proficiency in modern C++ (C++17/20) with a deep understanding of performance optimisation., • Experience with GCC 12 or similar toolchains that support C++20 features., • Solid understanding of low-latency systems, multithreading, and memory management., • Background in real-time systems, high-frequency trading, or performance-critical applications. If this sounds interesting, please apply for more info

Field Service Manager (Electrical) - EV Charging -Remote (UK) - Competitive Salary/ Car / Car allowance + Future share scheme We are recruiting for a Field Service Operations Manager (Electrical) to join a growing, specialist EV charging business at an early stage. This is a senior operational role for someone with strong hands-on electrical experience and solid EV charging maintenance background. You’ll lead day-to-day delivery, manage subcontractors and field teams, and help build the operational processes that allow the business to scale. The role is predominantly remote and desk-based, but requires travel and occasional hands-on site support when needed. The role • Lead EV charging maintenance operations and site assessments, • Plan and coordinate subcontractors and field engineers, • Act as technical escalation for complex faults and recurring issues, • Support install and remedial works where required, • Build scalable processes, standards, reporting and KPIs, • Ensure full compliance with BS7671 (18th Edition) and strong H&S standards, • Work closely with leadership to improve delivery and customer outcomes What we’re looking for Experience • Strong electrical background with significant time on the tools, • EV charging maintenance experience (essential), • EV charging installation, fault-finding and remedials experience, • Comfortable leading teams and managing subcontractors, • Happy working remotely with site involvement when required Qualifications • 18th Edition (BS7671), • Inspection & Testing – C&G 2391 or equivalent, • SMSTS + site management qualification, • CSCS Gold Card Why consider it? • Early-stage hire with real influence over how operations are run, • Autonomy to improve and shape delivery models, • Competitive salary and package, • Work that directly impacts safety, reliability and customer experience across UK EV charging 📩 Interested or know someone suitable? Message me directly or apply for a confidential conversation.

Are you a quant developer who enjoys working directly with traders and shaping real models? Here you’ll join a leading energy trading business, where technical teams work closely with the desk and have a clear impact on how day-to-day decisions get made. You’ll get to build and improve the algorithms themselves, make sure data flows, and deploy models into production. You'll have interaction with traders and analysts on a daily basis, understanding what they need and turning those requirements into tools. The team is small, genuinely collaborative, where quants, developers and traders sit together and solve problems in real time. This role is a mix of maths, modelling and engineering - taking forecasting and optimisation ideas and turning them into tools that shape how the desk trades European power. The stack is mainly Python. SQL, Clickhouse or Azure are nice to know but not essential. What matters is a strong quantitative background and experience commodities being ideal, but anyone from a wider markets background will feel at home. If this is of interest, please apply or reach out via email: No up-to-date CV required.

Renowned Global Hedge Fund based in London is looking for a talented Systematic Quantitative Trader / Portfolio Manager or External Alpha Contributors who are strong technically and in quality alpha capture. This is for someone with experience in either Future's, Fixed Income, Credit, Equities, or FX. This position is global (Depending on approval) WE ARE ALSO LOOKING FOR ALPHA GENERATORS WHO WANT TO BE INDEPENDENT AND WANT TO BUILD THEIR OWN FUND (GLOBAL) Culture No politics, a close-knit team with great growth potential. You will work with a great reputable leader and learn tremendously. Requirements: • Build trading algorithms, • FX, Credit, Futures, Bonds, commodities, experience, • Create high-quality predictive signals, • From 10+ PNL, • leveraging your existing experience, signals, and models, • Withholding periods from hours to weeks, • Performance-based contribution where pay-outs depend on the quality and success of the signals provided, • Proven track record in delivering successful systematic, fundamental or discretionary strategies: creative models with realised Sharpe Ratios > 1.5, • Fundamentals on how markets are priced, • Systematic Trading, • Generating Alpha, • Strong mathematical skills, • Development and implementation of models used for pricing and risk management, including PL Explain and capital charge Tools., • Development and implementation of models used for pricing and risk management, including PL Explain and capital charge Tools., • Supporting desk strategists by providing them with quantitative tools, • Strong technical skills with experience in a quantitative analysis team (coding C++/C#/python, modeling, systems), • Strong communication skills, • Proactive in the promotion of new ideas, • working on the trading desk / systematic desk, • Development and implementation of models used for pricing and risk management Essential · Top educational background, Masters/Ph.D. in a quantitative subject (e.g. Maths, Physics, Computer Science) Location: NYC + Paris + London + Singapore + Japan + Abu Dhabi + China + Swizerland Salary: £ competitive + Bonus and great amounts of benefits REFER A FRIEND/ COLLEAGUE If you're interested in this opportunity, please forward you're CV ASAP. Alternatively, if you would like to know more information or have a confidential discussion please contact Shanaz Rob - call on +44 (0)203 603 4474 email: for more details. Follow for updates:

Java Developer – Front Office Commodities Trading (London) Rare opportunity to join a highly profitable commodities trading desk I’m working directly with a Managing Director at a US-headquartered proprietary trading firm that has built one of the strongest platforms in global energy markets. They’re looking to hire a strong Java Developer to join a highly profitable front-office trading desk in London. This is a hands-on, revenue-facing role where engineering quality directly impacts trading performance. What you’ll be doing • Building cutting-edge trading applications used in live markets, • Working closely with traders and quants on pricing and execution algorithms, • Developing high-performance, multi-threaded systems for simulation and live trading, • Enhancing and maintaining trading GUIs and market data components, • Solving complex problems in a small, highly collaborative team What they’re looking for • Strong Java developer with experience building high-performance systems, • Background in trading systems, market data, or quantitative infrastructure, • Solid understanding of concurrency, algorithms, OOP, and system design, • Experience with Python (NumPy / Pandas) in a scientific or trading context, • Comfortable working in Unix/Linux environments, • Experience with SQL / NoSQL / tick databases is a plus, • Exposure to commodities, futures, or swaps is beneficial but not essential Compensation £120,000 – £150,000 base Highly competitive PnL-linked bonus (≈ 100% in year one for strong performers) Why this role • True front-office exposure, • Direct impact on a profitable trading desk, • Strong engineering culture with real ownership, • Flexible working and high trust environment, • Roles like this do not come up often

Pricing Algo Java Engineer Up to £160,000 on the base I am looking for experienced Java engineers to join one of Europe’s top-tier fixed-income algorithmic trading desks. The role involves building a greenfield execution system from the ground up, spanning five core business domains, with a strong focus on performance, reliability, and clean system design in a front-office trading environment. Role Description You are a confident and self-motivating developer with a solid understanding of electronic markets. You are client focused and are comfortable communicating with stakeholders across the bank. You are at home developing in a small self-organising team and value user feedback within an agile development process. You can manage expectations effectively and have a demonstrable track record of owning delivery of a high profile product to demanding business users. You are familiar with the Fixed Income markets, both cash and derivatives, and understand the value of an intuitive, robust and reliable eTrading systems to a trading desk. Key Responsibilities: • Develop sophisticated algorithmic trading strategies using quantitative methods and statistical analysis, • Implement and optimize execution algorithms to improve trading efficiency and reduce market impact, • Collaborate with quants, developers, and traders to translate trading ideas into production-ready code, • Monitor and evaluate the performance of trading strategies, making real-time adjustments as necessary, • Conduct research on new trading opportunities and market inefficiencies, • Develop and maintain relationships with electronic trading venues and liquidity providers, • Contribute to the firm's overall electronic trading infrastructure and technology stack Required Experience: • Degree in Computer Science, Mathematics, Physics, or a related quantitative field, • Minimum of 5 years of experience in electronic trading or a similar role in financial markets, • Strong programming skills in Java, with experience in low-latency environments, • In-depth understanding of market microstructure, order types, and exchange connectivity, • Excellent problem-solving skills and ability to work under pressure in a fast-paced environment

Quantitative Developer – HFT (C++) | Ultra-Low-Latency Trading | High-Performance Systems We are looking for an experienced C++ engineer to join a high-performance trading team focused on building ultra-low-latency systems that operate at global scale. This is a unique opportunity to work on cutting-edge technology where every nanosecond counts. ⭐ The Role As part of the HFT team, you will: • Design, develop, and optimize latency-critical C++ systems for trading, market data, and infrastructure., • Work on end-to-end ultra-low-latency architectures, including kernel-level tuning, network optimization, and highly efficient system components., • Collaborate with FPGA engineers and hardware teams to integrate hardware and software pathways., • Profile and fine-tune performance across CPU, cache, and memory layers, ensuring maximum efficiency., • Contribute to the evolution of a high-throughput, front-office tech stack. 🎯 What We’re Looking For • 5+ years of experience in performance-critical C++ (C++17 or newer)., • Strong expertise in systems programming, memory management, and CPU architectures., • Deep knowledge of Linux internals, kernel parameters, and low-level profiling., • Passion for high-performance computing, networking, and hardware-software optimization., • Experience in systematic trading, HFT, or quantitative environments is a plus., • Proven ability to architect, optimize, and scale ultra-low-latency systems. 🌍 Why This Opportunity Is Exceptional • Work in a front-office, revenue-driving engineering environment., • Build and optimize state-of-the-art HFT systems across software, FPGA, and infrastructure., • Join a culture that values innovation, autonomy, and technical excellence., • Direct impact on strategy performance and technology evolution., • Opportunities to work in global offices. If you’re a C++ engineer excited by ultra-low-latency systems, HFT, and high-performance software design, this is a rare opportunity to make a tangible impact on a top-tier trading desk.

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers. This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded in 2023, the company has already secured significant early-stage funding, including a $10m Seed round in 2024. The founding team is composed of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real-world problems with meaningful societal impact. You will be joining a highly collaborative and talented team that is revolutionising how operational planning is conducted at scale and speed. Primary Responsibilities: • Shape the company’s AI trajectory by developing AI solutions to solve high-stakes problems, • Collaborate closely with military experts, along with the product team, to identify and capitalise on high-impact opportunities, • Keep the company at the forefront of innovation by exploring and applying the latest research Requirements: • MSc in Machine Learning, Computer Science, or a related field, • 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation, • Strong software engineering skills with a focus velocity, • Excellent communication skills and the ability to flourish in a team, • Located in London/Paris and open to working in office Tech Stack: • Python FastAPI, • Python, Typescript, or React, • Open source LLMs, • Building for production Benefits Currently Offered (likely to improve as company grows): • 100% coverage for travel expenses, • Childcare support, • Min. 3 months fully paid parental leave, • 25 days holiday + bonus days for company closure, • Subsidised lunches in office, • Gym membership, • Private medical insurance, • Subsidised coaching/training, • Work-from-home allowance to cover office equipment, desk, chair, monitor etc., • Fertility support benefits, including financial support for IVF, • Menstrual leave/congé menstruel, • Company off-sites twice per year Interview process: • Introductory interview – 45 mins, • Live coding task – 45 mins, • On-site interviews + meet the team – half day, • Final interview with CEO – 30 mins

My client is looking for a mid–senior Desktop Support Engineer to join a fast-paced technology team supporting a demanding user base in a high-performance environment. This is a hands-on role suited to someone who enjoys working close to the business, taking ownership of issues end-to-end, and contributing beyond pure support. The role offers exposure to a broad range of technologies and the opportunity to be involved in project work alongside core systems and infrastructure teams. Key Responsibilities • Provide high-quality 1st/2nd line desktop and end-user support, • Support Windows 10/11 and the Microsoft 365 suite (Outlook, Excel, SharePoint, OneDrive), • Troubleshoot hardware, software, and connectivity issues, • Support financial and market data applications (e.g., Bloomberg), • Perform desk setups, workstation builds, and hardware break/fix, • Work closely with infrastructure and systems teams on upgrades and projects, • Contribute to documentation, process improvement, and automation initiatives Required Experience & Skills • 4–12 years of relevant desktop / end-user support experience, • Experience in fast-paced environments; financial services experience preferred but not essential, • Strong Windows desktop support experience and Microsoft stack knowledge, • Excellent troubleshooting skills across hardware, OS, and applications, • Comfortable working in smaller, agile teams with a high degree of responsibility, • Exposure to PowerShell scripting is advantageous, • Basic understanding of TCP/IP and general networking concepts, • Strong communication skills and a service-oriented mindset To apply: directly submit your CV to this job posting or email to .

Location: Fully Remote (with London Office Access) Compensation: £28,000 - £35,000 + Performance Based Bonuses Role Type: Junior / Entry-Level (Results-Oriented) About Us We are a small but fast-moving and growing AI consultancy. We value practical skills and a "builder" mindset over years of corporate experience. If you have a portfolio of React projects and an eye for design, we want to give you the platform to build something great. The Role & Culture We are a team that prioritizes delivery over desk-time. We are looking for a developer who takes pride in their work and understands the "startup rhythm." We don't watch the clock, but we do expect our team to be all-in when a project deadline is approaching. What You’ll Do • Frontend Ownership: Build out web dashboards and data visualization tools using React., • UI/UX Design: Take the lead on making our interfaces intuitive and visually appealing., • Product Growth: Work directly with our Senior Architect to connect your frontend to our AI-driven backends., • Deadline Reliability: Show up for the team during critical release windows to ensure we deliver high-quality code on time. Who You Are • React Enthusiast: 1-2 years of experience (personal projects, freelance, or internships). A strong portfolio is essential., • Design-Minded: You care about UI/UX and want to build interfaces people love., • Professional Maturity: You can manage your own time. You are comfortable working shorter days during quiet weeks, provided you are available to step up and go the extra mile during project launches., • Self-Starter: You find solutions independently and don't require constant hand-holding. Growth & Rewards • Rapid Progression: As an early hire, you can quickly move toward a Mid-level role as the company scales., • Performance Bonuses: We offer bonuses tied to project milestones and successful deliveries. Why Join? • High-Trust Flexibility: We offer genuine flexibility. If the work is done and there's no immediate deadline, we don't expect you to be staring at a screen. We just ask that you stay reachable and dive into supporting some of our other varied projects., • London Office Perk: Access to our London co-working space for mentorship and social "vibe.", • Influence: You’ll have more say in the UI here than at any big company. Apply today. We are not currently offering VISA sponsorship opportunities. No agencies thank you.

Our client is recruiting for two.Line IT Service Desk Engineers.As one of their Engineers, you will support a wide range of customers via the telephone, live chat and emails.You will be utilising your excellent and prompt customer support skills, representing our client in a professional and courteo

Paragon Alpha are working with a hedge fund famous for mid frequency equity trading, while also having a successful L/S Equity desk running strategies out of London.The desk need to hire two Quantitative Developers in London, to build signal generation frameworks, back-testing engines, and full stac

We are looking for a proactive and customer-focused Service Desk Technician to join our Service Desk Team at the Education for Industry Group. You will also work closely with the Service Desk Manager to identify opportunities for service improvement, helping to prevent issues before they arise and r

We are looking for an Execution Sales Trader to cover European and US equity markets in a front-office, desk-based role with flexible coverage across trading hours.

Chartered Building Surveyor - London (SE1) A role with real influence, variety and progression. A leading multi-disciplinary consultancy in SE1 is looking to bring in a chartered Building Surveyor as part of its continued growth. This is a role built around trust, autonomy and meaningful client impact - not simply delivering reports behind a desk. You'll work across commercial, residential, education, leisure and healthcare portfolios, giving you genuine breadth and the chance to shape long-term property strategies for an impressive client base. Where you'll make an impact: • On Sites & Surveys: Carrying out building and measured surveys across a wide range of property types, • On Standards: Ensuring compliance with the latest building regulations and technical requirements, • On Projects: Preparing specifications, maintenance plans and overseeing contract administration, • On Clarity: Investigating building defects and producing clear, practical technical reports, • On Portfolios: Managing dilapidations instructions across both land and buildings, • MRICS Chartered Building Surveyor, • Experience within consultancy, ideally across mixed-use or commercial portfolios, • Confidence working directly with clients and leading instructions This consultancy has built its reputation on genuine collaboration, technical excellence and giving people room to grow. You'll join a successful and well-supported team where knowledge is shared, progression is real, and your work genuinely matters. Apply now or contact: Jamie Redpath: 07531 490986 Email: Follow us on LinkedIn: Carriera Limited | Visit: Carriera Limited values diversity and promotes equality and no terminology in this advert is intended to discriminate against any protected characteristics under the Equality Act 2010. We welcome applications from all sections of society and are open to discussing any reasonable adjustments or additional arrangements you may require to support your application. All applicants must be eligible to live and work in the UK. When advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary vacancies we are acting as an Employment Business for the purposes of the Conduct Regulations 2003. All applications will be held in strict confidence and in accordance with our privacy policy .

Resource will be a part of general operations of service desk and will be cross leveraged to any of the contact modalities like Phone & Chat to cater the incoming contacts at service desk. Work as part of the 11x7 Shift system on the IT Service Desk.

Job Function: To provide timeous professional.Liaising with: Customers, Depot Staff and Hire Desk administrators.The ideal candidate will have a proven track record of driving experience in a similar environment, always driving responsibly and safely within the law.Deliver/collect equipment to site

Hire Desk Manager - Feel stuck in your current Hire company. Benefits for the Hire Desk Manager:.

This role is centred on delivering outstanding customer service while providing hands-on troubleshooting across the Microsoft 365 suite, supporting users with everyday technical issues and ensuring a smooth, responsive support experience. Log and manage support calls using service desk tools and ITI

We're looking for an ambitious and commercially minded Oil Trader to join our dynamic trading desk in London. As an Oil Trader, you'll be responsible for executing trades across crude oil and refined products, managing risk positions, and identifying profitable opportunities in global energy markets

Looking for an experienced 2nd Line Support person to work for an MSP based on a client site supporting the head office and management team. To provide dedicated onsite technical IT support to the customer headquarters staff as a member of the onsite Corporate Service Desk (CSD) team and ensure exce

A strong emphasis is placed on service delivery excellence, driving continuous improvement through analysis of service call history, trends, and response rates. The National Gallery is seeking a dynamic professional to lead the delivery of a responsive Information Systems Service Desk and ITSM platf

Cryptocurrency Audit SME Location: London, United Kingdom Role Type: Contract - 6 months Work Setup: Hybrid - 4 days in office Who We Are Robert Walters is the world's most trusted talent solutions business. Across the globe, we deliver recruitment, outsourcing, and talent advisory services for businesses of all sizes, opening doors for people with diverse skills, ambitions, and backgrounds. Who You Will Work With Our client is a global financial services firm that manages wealth, navigates complex markets, and designs strategic financial objectives. The firm provides risk management solutions across a variety of sectors, emphasizing long-term relationships, and innovative approaches to financial challenges. What you'll do: • Support Equity Division trading desk audits as a Cryptocurrency Subject Matter Expert (SME)., • Guide audit scope and test plans for trading desks market-making in derivatives tied to Cryptocurrency ETFs and Futures., • Define and support alternative testing techniques for this area., • Relevant degree and professional qualification (ACA, ACCA, CA, CIA), • Experience auditing sales and trading desks, especially derivatives desks linked to Cryptocurrency assets., • Strong knowledge of internal audit processes, methodologies, and best practices; ability to assess and execute improvements., • Excellent leadership, communication, and collaboration skills with senior management and stakeholders., • Familiarity with audit methodology/practices is a plus, • Proficient in MS Office (Excel, Access, PowerPoint, Word), including pivot tables. If you are ready to take the next step, apply now! Successful applicants will be contacted directly by a recruiter to discuss the role more. We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you. This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.

Exciting opportunity for a Senior Deal Structurer: Electricity and Gas Flex Pricing to join this global Energy company. This is an exciting time to join this world-leading Energy company as it evolves from a traditional Oil & Gas enterprise into a future-focused Energy leader. This transformation includes the establishment of a highly successful new Power Trading desk within the Energy Trading team and ventures into cutting-edge solutions that address the evolving demands of the Energy sector. These initiatives include advanced Gas infrastructure, LNG technology, effective Energy Storage systems and Green Energy solutions. These innovations create opportunities for exceptionally talented individuals to contribute to the success of this evolution, working alongside some of the industry's top professionals and leveraging the very latest technology. About The Role: We are looking for UK Energy Market B2B Flex Pricing Experience. The successful candidate will be working as a deal structurer, quoting B2B Flex Gas and Electricity Supply contracts. The candidate must have B2B Flex Pricing Experience gained from a UK Electricity and Gas Supplier. They also must have excellent attention to detail, be able to meet tight deadlines and also present to senior managers. They will have to make commercial recommendations Electricity and Gas Flex Pricing experience, UK Energy B2B Pricing experience, confidence in presenting to senior management, analytical, attention to detail, process improvement, SQL Nice-to-have skill set(s): Other coding languages Minimum years of experience: 3 years Pricing experience This needs combining with a positive attitude and an ability to work within a large, globally dispersed project team in a multi-cultural environment. You also need to be a self-starter, a logical thinker and a quick learner, with strong initiative and excellent communication, interpersonal and presentation skills, able to write clearly and concisely. We believe in equality of opportunity for all job applicants regardless of gender, marital status, race, colour, nationality, ethnic origin, creed or religion, disability, sexual orientation or age. With a focus within Energy Trading, Oil & Gas, Financial Markets and Commodities, we offer a transparent Recruitment Service that has proven to be reliable and effective for over 40 years. We are ISO accredited and proud of our excellent TrustPilot Reviews. Your search for a New Contract Assignment or for a New Permanent Job will be in safe hands with Eaglecliff Recruitment. Please telephone for an immediate response or email your CV for a quick response.

TechOps Analyst, Equities London, Hybrid £competitive + excellent bonus + benefits International Capital Markets firm is scaling its London Equities platform and is hiring a TechOps Associate to drive platform reliability, low-latency performance, and controlled change across OMS/EMS, eTrading/algo, market data, and exchange connectivity. You will sit close to the desk and act as the go-to owner for stability, incident response, and release safety. Key Responsibilities: • End-to-end production reliability for equities trading systems (OMS/EMS, FIX gateways, algo/eTrading, market data, post-trade)., • Reduced MTTD/MTTR via automation, clear SLAs, and robust RCAs/post-mortems., • Safer, faster releases (blue/green, canary, feature flags) in partnership with Trading, Quant, and Engineering., • Mature observability (logs/metrics/traces), capacity planning, and performance tuning for low-latency flows., • Strong production hygiene and controls aligned to MiFID II/MAR/best-ex., • TechOps/Production Engineering/SRE experience supporting equities trade floor., • FIX protocol experience., • Unix experience., • Practical understanding of market microstructure, exchange connectivity, and TCA/controls., • Competitive base + performance bonus, benefits, and flexible hybrid working., • A clear runway to platform ownership and team leadership., • Low-latency tuning experience., • Experience with TCA and post-trade analytics.

Internal Comms/Internal communications/Call Centre Handler, Telecoms Operator/Exec Assistant/Exec Assistant for our prestigious client. Must have DV vetting based in London, SW1 Fully onsite 24x7 rota for our Government client.6 month initial contract Working in a 24/7/365 team. Some weekend work required. Day time hours Working in a DV Developed Vetting environment Current DV Clearance required or candidates must be eligible for DV Clearance. Essential Skills Experience: Outstanding customer service - Calm, confident, and responsive under pressure. Team player - Collaborative, supportive, and reliable in a fast-paced environment. Clear communicator - Strong verbal skills and active listening. Organised and efficient - Skilled at managing time and priorities. Confident with ICT systems and telephony tools. Desirable Skills Experience: Experience in a contact centre or similar high-volume environment. Familiarity with Microsoft Teams and other video call systems to set up meetings and calls. Multilingual abilities are a plus. Responsibilities Role: As a key member of our clients internal comms desk you will be involved in the following: Assisting staff in connecting calls to the appropriate person or organisation, setting up conference calls, and performing various other duties. Handling external incoming calls digital call management system, verifying callers, taking messages, and passing on information to support staff who may be travelling overseas. Providing 24-hour cyber monitoring to ensure the security and integrity of communications at all times. Participating in a variety of other business support tasks to, delivering an efficient, professional, individual, and tailored service. Lead in setting up frontline communications acting as the first point of contact for all staff, ensuring seamless, secure, and professional service Manage call handling, swiftly managing urgent and sensitive communications with precision, discretion, and full compliance with security protocols Manage national and international conference calls Safeguard infrastructure, delivering round-the-clock cyber and telephony monitoring to uphold the integrity and confidentiality of all channels. Respond to secure line activity, monitoring and logging calls for security purposes and escalating incidents or technical issues to the appropriate teams. Support national resilience, participating in Business Continuity operations and adapting to alternate work sites when required. SmartSourcing are a Disability Confident Employer and we promote, celebrate and value diversity, we are committed to promoting equality and inclusion for all.