We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & 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.
Apr 22, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & 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.
Apr 22, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & 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.
.Net Software Developers (Mid-Level)Location: Belfast (Hybrid) Type: Full-Time PermanentMCS Group is delighted to be working with a global market leader in financial services technology that is building one of the largest and most advanced engineering hubs in Belfast. MCS have helped this company hire over 150 people and they are a core delivery hub working on business-critical trading and data platforms used across the globe.As part of a major technology growth programme, the Belfast office is hiring mid level .NET Software Developers to shape next-generation trading systems and deliver large-scale engineering solutions.What you'll doDevelop, enhance, and maintain complex systems using C# (.NET Core) and SQLBuild scalable, cloud-native solutions on AWSCollaborate closely with Architects and QA Engineers to ensure robust, testable, and high-quality deliveryTake part in architectural discussions and CI/CD pipelinesMentor teammates, contribute to code reviews, and promote engineering best practicesWhat we're looking forStrong hands-on experience in C# (.NET Core)Knowledge of modern frontend frameworks (ideally React)Proficiency with Microsoft SQL Server or similar databasesExperience with cloud technologies like AWS or AzureAgile mindset with experience working in collaborative teamsFinancial services knowledge is beneficial but not essentialWhy this opportunity is differentImpactful engineering: Belfast engineers aren't just maintaining systems - they own delivery of trading platforms, low-latency pipelines, and global data infrastructure.Modern practices: CI/CD, AWS-first, containerised deployments, cross-functional squads, and a brand-new strategic partnership with AWS.Career growth: Structured career paths into architecture, leadership, and platform ownership.Scale & stability: The speed and autonomy of a modern tech hub with the security of a global business.Strategic investment: Following recent acquisitons, Belfast is central to delivering next-generation trading solutions.What to expect working hereHybrid working model - 3 days onsite in BelfastCompetitive salary + annual performance bonusPrivate healthcare and enhanced pensionGlobal exposure - work with teams in London, Paris, New YorkLearning budget, training, and mentorship opportunitiesInclusive, innovative culture with low attrition To speak in absolute confidence about this opportunity, please send an up to date CV via the link provided or contact Matthew Rainey at Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current and exclusive roles MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request. Not all agencies are the same MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google.
Apr 22, 2026
Full time
.Net Software Developers (Mid-Level)Location: Belfast (Hybrid) Type: Full-Time PermanentMCS Group is delighted to be working with a global market leader in financial services technology that is building one of the largest and most advanced engineering hubs in Belfast. MCS have helped this company hire over 150 people and they are a core delivery hub working on business-critical trading and data platforms used across the globe.As part of a major technology growth programme, the Belfast office is hiring mid level .NET Software Developers to shape next-generation trading systems and deliver large-scale engineering solutions.What you'll doDevelop, enhance, and maintain complex systems using C# (.NET Core) and SQLBuild scalable, cloud-native solutions on AWSCollaborate closely with Architects and QA Engineers to ensure robust, testable, and high-quality deliveryTake part in architectural discussions and CI/CD pipelinesMentor teammates, contribute to code reviews, and promote engineering best practicesWhat we're looking forStrong hands-on experience in C# (.NET Core)Knowledge of modern frontend frameworks (ideally React)Proficiency with Microsoft SQL Server or similar databasesExperience with cloud technologies like AWS or AzureAgile mindset with experience working in collaborative teamsFinancial services knowledge is beneficial but not essentialWhy this opportunity is differentImpactful engineering: Belfast engineers aren't just maintaining systems - they own delivery of trading platforms, low-latency pipelines, and global data infrastructure.Modern practices: CI/CD, AWS-first, containerised deployments, cross-functional squads, and a brand-new strategic partnership with AWS.Career growth: Structured career paths into architecture, leadership, and platform ownership.Scale & stability: The speed and autonomy of a modern tech hub with the security of a global business.Strategic investment: Following recent acquisitons, Belfast is central to delivering next-generation trading solutions.What to expect working hereHybrid working model - 3 days onsite in BelfastCompetitive salary + annual performance bonusPrivate healthcare and enhanced pensionGlobal exposure - work with teams in London, Paris, New YorkLearning budget, training, and mentorship opportunitiesInclusive, innovative culture with low attrition To speak in absolute confidence about this opportunity, please send an up to date CV via the link provided or contact Matthew Rainey at Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current and exclusive roles MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request. Not all agencies are the same MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google.
MCS Group are working with a multi-disciplinary architecture practice to recruit a Senior Architectural Technician to join their team. This is an excellent opportunity to work on a wide range of sectors across Northern Ireland and Ireland, offering an interesting, challenging and varied workload. You will join a practice which takes pride in their success within the presentation of accurate, complete information and the delivery of projects on programme and within budget. The Role As a Senior Architectural Technician, you will work alongside the wider architectural team to work on a range of projects within the commercial sector. You will; Work with the design team to ensure that designs are delivered in a timely and professional manner to clients Produce accurate and well-presented drawings or documents in accordance with the design brief Understand and create architectural details from general arrangement plans, taking ownership of projects and coordination of works What's in it for you; Competitive salary and benefits package Exposure to wide range of projects within the commercial sector Join a motivated and enthusiastic team Career progression opportunities The Ideal Candidate; Experienced AutoCAD user with a construction/architectural/CAD third level qualification Previous experience within an architectural environment on construction projects, with a proven track record of producing quality drawing work Knowledge and experience of common building materials and details Conversant with 2D/3D draughting software using AutoCAD and REVIT Full details will be discussed upon application. Are you an Architectural Technician open to new opportunities? Get in touch, I would love to have a chat! To speak in absolute confidence about this opportunity please send an up to date CV via the link provided or contact Hannah Liddle, Specialist Consultant at MCS Group . Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current jobs All conversations will be treated in the strictest of confidence. Not all agencies are the same MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google. MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request.
Apr 22, 2026
Full time
MCS Group are working with a multi-disciplinary architecture practice to recruit a Senior Architectural Technician to join their team. This is an excellent opportunity to work on a wide range of sectors across Northern Ireland and Ireland, offering an interesting, challenging and varied workload. You will join a practice which takes pride in their success within the presentation of accurate, complete information and the delivery of projects on programme and within budget. The Role As a Senior Architectural Technician, you will work alongside the wider architectural team to work on a range of projects within the commercial sector. You will; Work with the design team to ensure that designs are delivered in a timely and professional manner to clients Produce accurate and well-presented drawings or documents in accordance with the design brief Understand and create architectural details from general arrangement plans, taking ownership of projects and coordination of works What's in it for you; Competitive salary and benefits package Exposure to wide range of projects within the commercial sector Join a motivated and enthusiastic team Career progression opportunities The Ideal Candidate; Experienced AutoCAD user with a construction/architectural/CAD third level qualification Previous experience within an architectural environment on construction projects, with a proven track record of producing quality drawing work Knowledge and experience of common building materials and details Conversant with 2D/3D draughting software using AutoCAD and REVIT Full details will be discussed upon application. Are you an Architectural Technician open to new opportunities? Get in touch, I would love to have a chat! To speak in absolute confidence about this opportunity please send an up to date CV via the link provided or contact Hannah Liddle, Specialist Consultant at MCS Group . Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current jobs All conversations will be treated in the strictest of confidence. Not all agencies are the same MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google. MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request.
Our well known client is a successful landscape architects & design company working on high-quality work for high-value clients. They are currently looking for a highly experienced and skilled Landscape Foreman with at least three years experience of soft and hard landscaping, managing small teams and overseeing project needs for project delivery. As the successful candidate you will have the ability to managing garden installations from plans. The role requires a confident individual who is conscientious and has a can do attitude. This is a skilled role where ideally you will hold technical and CSCS qualifications. A desire to gain additional knowledge in hard and soft landscape construction ideally The role requires a committed individual with excellent attention to detail. You would be required to work to tight deadlines in an efficient manner. You would be expected to uphold the company values at all times. Duties will include: Work in both private and commercial landscaping contracts. Managing the construction/landscape team Managing a variety of tasks which could include day to day management of health and safety on site, including daily briefings and toolbox talks Site logistics, arranging and coordination of materials deliveries Groundworks, including excavations, foundations, drainage and services, subbases and concrete foundations etc. Hard landscape, paving installation, including natural stone, clay and concrete products, edgings, occasional brickwork, occasional stone walling. Decking and installation of other joinery products, fencing. Soft landscape, excavations, grading, filling, preparation for planting, tree planting, shrub and herbaceous planting, simple irrigation schemes. keeping the site clean and safe of trip hazards etc ., including site stores and site cabins Managing specialised staff and sub-contractors i.e. irrigation, lighting and water features. Assisting with Tree Planting, including semi mature trees. Management of horticultural works, ground preparation, planting, seeding and laying turf. Complying to and working to health & safety and quality procedures
Apr 22, 2026
Full time
Our well known client is a successful landscape architects & design company working on high-quality work for high-value clients. They are currently looking for a highly experienced and skilled Landscape Foreman with at least three years experience of soft and hard landscaping, managing small teams and overseeing project needs for project delivery. As the successful candidate you will have the ability to managing garden installations from plans. The role requires a confident individual who is conscientious and has a can do attitude. This is a skilled role where ideally you will hold technical and CSCS qualifications. A desire to gain additional knowledge in hard and soft landscape construction ideally The role requires a committed individual with excellent attention to detail. You would be required to work to tight deadlines in an efficient manner. You would be expected to uphold the company values at all times. Duties will include: Work in both private and commercial landscaping contracts. Managing the construction/landscape team Managing a variety of tasks which could include day to day management of health and safety on site, including daily briefings and toolbox talks Site logistics, arranging and coordination of materials deliveries Groundworks, including excavations, foundations, drainage and services, subbases and concrete foundations etc. Hard landscape, paving installation, including natural stone, clay and concrete products, edgings, occasional brickwork, occasional stone walling. Decking and installation of other joinery products, fencing. Soft landscape, excavations, grading, filling, preparation for planting, tree planting, shrub and herbaceous planting, simple irrigation schemes. keeping the site clean and safe of trip hazards etc ., including site stores and site cabins Managing specialised staff and sub-contractors i.e. irrigation, lighting and water features. Assisting with Tree Planting, including semi mature trees. Management of horticultural works, ground preparation, planting, seeding and laying turf. Complying to and working to health & safety and quality procedures
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & 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.
Apr 22, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & 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.
Apr 22, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & 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.
Apr 22, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & 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.
BIM Coordinator - Building Services (Revit MEP) Location: St Albans Salary: 38,000 - 45,000 Experience: 4+ years Working Pattern: Office-based during 3-month probation, then hybrid (3 days office / 2 days home) Overview A growing building services consultancy is seeking an experienced BIM Coordinator to lead the delivery of BIM processes and Revit MEP models across a range of public sector projects. These include government buildings, schools, leisure centres, and other high-profile developments. This is an exciting opportunity to join a collaborative team and contribute to the successful delivery of innovative and sustainable building services designs. Benefits Hybrid working : Flexible arrangement after probation (3 days office / 2 days home). Opportunity to work on large-scale public sector projects . Supportive and collaborative engineering team with a strong technical focus. Ongoing professional development, including BIM training and mentorship. Competitive salary and benefits package, including private medical aid and pension contributions. Exposure to a diverse range of projects, including leisure centres, education, healthcare, and residential developments. Day-to-Day Develop and maintain detailed Revit models for mechanical, electrical, and public health systems. Coordinate MEP systems with architectural and structural layouts. Produce 2D documentation and schematics derived from Revit models. Manage COBie data and shared parameters within MEP models. Conduct clash detection and resolve coordination issues using tools like Navisworks. Create and modify Revit families and system components as required. Collaborate with project teams to ensure timely and accurate delivery of BIM deliverables. Qualifications Essential: A minimum of 4 years' experience in BIM or Revit modelling within the building services sector. Proficiency in Autodesk Revit for MEP modelling and coordination. Strong understanding of UK BIM standards and workflows. Experience working on UK construction projects. Background in MEP / Building Services consultancies. Desirable: Knowledge of ISO 19650 and BIM Level 2 standards. Experience with coordination tools such as Autodesk Navisworks . Familiarity with COBie data structures and implementation. Ability to mentor and support junior BIM technicians. Dynamo script writing for workflow automation. Responsibilities Coordinate and manage MEP BIM models using Autodesk Revit . Ensure all project models comply with BIM standards and project-specific requirements. Collaborate with engineers, architects, and consultants to deliver fully coordinated designs. Oversee model integration across multiple disciplines to ensure seamless project delivery. Develop and implement BIM Execution Plans (BEP) . Conduct quality assurance checks on models for accuracy and compliance. Provide technical BIM guidance and support to technicians and project teams. Assist in the development of workflows and automation tools to improve efficiency. Join a consultancy that prides itself on delivering high-quality, award-winning projects and being at the forefront of low-carbon and renewable technologies. If you are passionate about BIM and want to contribute to innovative building services designs, we would love to hear from you. Seem like an interesting fit? If so, apply now to take the next step!
Apr 22, 2026
Full time
BIM Coordinator - Building Services (Revit MEP) Location: St Albans Salary: 38,000 - 45,000 Experience: 4+ years Working Pattern: Office-based during 3-month probation, then hybrid (3 days office / 2 days home) Overview A growing building services consultancy is seeking an experienced BIM Coordinator to lead the delivery of BIM processes and Revit MEP models across a range of public sector projects. These include government buildings, schools, leisure centres, and other high-profile developments. This is an exciting opportunity to join a collaborative team and contribute to the successful delivery of innovative and sustainable building services designs. Benefits Hybrid working : Flexible arrangement after probation (3 days office / 2 days home). Opportunity to work on large-scale public sector projects . Supportive and collaborative engineering team with a strong technical focus. Ongoing professional development, including BIM training and mentorship. Competitive salary and benefits package, including private medical aid and pension contributions. Exposure to a diverse range of projects, including leisure centres, education, healthcare, and residential developments. Day-to-Day Develop and maintain detailed Revit models for mechanical, electrical, and public health systems. Coordinate MEP systems with architectural and structural layouts. Produce 2D documentation and schematics derived from Revit models. Manage COBie data and shared parameters within MEP models. Conduct clash detection and resolve coordination issues using tools like Navisworks. Create and modify Revit families and system components as required. Collaborate with project teams to ensure timely and accurate delivery of BIM deliverables. Qualifications Essential: A minimum of 4 years' experience in BIM or Revit modelling within the building services sector. Proficiency in Autodesk Revit for MEP modelling and coordination. Strong understanding of UK BIM standards and workflows. Experience working on UK construction projects. Background in MEP / Building Services consultancies. Desirable: Knowledge of ISO 19650 and BIM Level 2 standards. Experience with coordination tools such as Autodesk Navisworks . Familiarity with COBie data structures and implementation. Ability to mentor and support junior BIM technicians. Dynamo script writing for workflow automation. Responsibilities Coordinate and manage MEP BIM models using Autodesk Revit . Ensure all project models comply with BIM standards and project-specific requirements. Collaborate with engineers, architects, and consultants to deliver fully coordinated designs. Oversee model integration across multiple disciplines to ensure seamless project delivery. Develop and implement BIM Execution Plans (BEP) . Conduct quality assurance checks on models for accuracy and compliance. Provide technical BIM guidance and support to technicians and project teams. Assist in the development of workflows and automation tools to improve efficiency. Join a consultancy that prides itself on delivering high-quality, award-winning projects and being at the forefront of low-carbon and renewable technologies. If you are passionate about BIM and want to contribute to innovative building services designs, we would love to hear from you. Seem like an interesting fit? If so, apply now to take the next step!
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & 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.
Apr 22, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & 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.
Contracts IT Recruitment Consulting Ltd
City, Newcastle Upon Tyne
Network & Security Engineer (VXLAN, F5, Checkpoint, Palo Alto) Location: Newcastle (preferred) , Manchester, Leeds, Birmingham, Blackpool Hybrid working - approx. 60% on-site IR35: inside UK National Public Sector experience highly desirable DURATION: 6 months initial, with extensions. Excellent Rates *Urgent 6 Month Contract - Role hiring now!* This is a *UK/Newcastle* based role with an excellent immediate start within a Public Sector organisation working on *delivering quality Infrastructure products. * Description: As a Senior Network & Security Engineer, you will be responsible for ensuring best practices are adhered to across the department and guiding teams on how to deliver quality Infrastructure products. You will assist in the design and running of Infrastructure services in collaboration with Architecture and Engineering principles. Working in collaboration with a range of internal/external partners, stakeholders, and customers you will ensure the operational stability, robustness, resilience, availability, and quality of Networks. You will actively manage the work backlog and develop reliability improvements as well as leading initiatives to develop the automation of low-value tasks balanced against project delivery demands. You will help to develop, modernise and provide solutions for the client's network infrastructure; while streamlining ways we deliver this to our customers with speed and consistency. Therefore, experience and successful track record of design, build and operations of network services in large scale organisations is required, specifically in the areas of: OSPF and complex BGP environments for optimized traffic flow and redundancy SDWAN technology and solutions for enhanced connectivity and performance NGFW technologies to ensure security and policy enforcement with a 'Zero Trust' emphasis Designing secure high availability Hybrid Cloud connectivity solutions (AWS & Azure and OCI) SaaS and Cloud based WLAN and WiFi enterprise wireless networking Design and manage VXLAN Overlays for scalable Datacenter networking Palo Alto Firewalls Experience with Load Balancing technologies and modules (F5 ASM, APM, LTM BIG IP) If you have the knowledge & experience as mentioned above, please share your CV& motivation for immediate consideration to Javaid - we are shortlisting for interviews now! We are an equal opportunities employment agency and welcome applications from all suitably qualified persons regardless of race, sex, disability, religion/belief, sexual orientation, or age. We champion differences in technology recruitment and work with clients who actively wish to diversify their talent force - ALL applicants are welcome to apply.
Apr 22, 2026
Contractor
Network & Security Engineer (VXLAN, F5, Checkpoint, Palo Alto) Location: Newcastle (preferred) , Manchester, Leeds, Birmingham, Blackpool Hybrid working - approx. 60% on-site IR35: inside UK National Public Sector experience highly desirable DURATION: 6 months initial, with extensions. Excellent Rates *Urgent 6 Month Contract - Role hiring now!* This is a *UK/Newcastle* based role with an excellent immediate start within a Public Sector organisation working on *delivering quality Infrastructure products. * Description: As a Senior Network & Security Engineer, you will be responsible for ensuring best practices are adhered to across the department and guiding teams on how to deliver quality Infrastructure products. You will assist in the design and running of Infrastructure services in collaboration with Architecture and Engineering principles. Working in collaboration with a range of internal/external partners, stakeholders, and customers you will ensure the operational stability, robustness, resilience, availability, and quality of Networks. You will actively manage the work backlog and develop reliability improvements as well as leading initiatives to develop the automation of low-value tasks balanced against project delivery demands. You will help to develop, modernise and provide solutions for the client's network infrastructure; while streamlining ways we deliver this to our customers with speed and consistency. Therefore, experience and successful track record of design, build and operations of network services in large scale organisations is required, specifically in the areas of: OSPF and complex BGP environments for optimized traffic flow and redundancy SDWAN technology and solutions for enhanced connectivity and performance NGFW technologies to ensure security and policy enforcement with a 'Zero Trust' emphasis Designing secure high availability Hybrid Cloud connectivity solutions (AWS & Azure and OCI) SaaS and Cloud based WLAN and WiFi enterprise wireless networking Design and manage VXLAN Overlays for scalable Datacenter networking Palo Alto Firewalls Experience with Load Balancing technologies and modules (F5 ASM, APM, LTM BIG IP) If you have the knowledge & experience as mentioned above, please share your CV& motivation for immediate consideration to Javaid - we are shortlisting for interviews now! We are an equal opportunities employment agency and welcome applications from all suitably qualified persons regardless of race, sex, disability, religion/belief, sexual orientation, or age. We champion differences in technology recruitment and work with clients who actively wish to diversify their talent force - ALL applicants are welcome to apply.
The Job: Job Title: Head of Engineering Industry: Enterprise SaaS - High volume transactions Tech stack: GCP, Golang, PHP Working Set-Up: Hybrid working set-up (Central London an average of once per month) Salary - £100,000-£120,000 p/a (dependent on experience) Benefits - Discretional 10% annual bonus, 25 days annual leave +BH's, private healthcare and more Interview process: 3 stages (virtual) The Role: This is a hire of high importance for one of Leo technology's key clients. This company, who are industry leaders in retail and hospitality loyalty software (enterprise SaaS), are looking to appoint a Head of Engineering to lead the engineering team and continue driving the evolution of their cloud-based technology platform while they focus on moving to a more cloud-native SaaS architecture. In this role, you will be responsible for owning the engineering strategy, delivery, and operational performance, ensuring the company effectively deliver a reliable, secure platform for their enterprise customers, all while executing a multi-year technology transformation. This position is instrumental in the company achieving their next phase of growth, and as a result, you will be given the opportunity to shape the future technical foundation of the business while leading teams through change. You'll be tasked with balancing innovation with reliability for global enterprise customers. This role is ideal for an experienced Engineering Manager / Head of Engineering who has experience leading multiple engineer teams, contributing to the overall technical strategy, and leading cloud-native transformation programs. Key Responsibilities (not limited to): Define and execute the engineering strategy supporting the companies transition to a cloud-native, service-oriented architecture Act as a senior technical leader and point of escalation for complex technical decisions Lead, develop, and coach engineering managers / technical leaders Own delivery and engineering health metrics (incl. reliability, quality, and technical debt) Improve Agile delivery practices Work with key stakeholders to manage the transition from monolithic systems to distributed, cloud-native services Manage engineering budgets, day to day cloud spend, and third-party technology partners The Person: Experience working in a Engineering Manager or Head of Engineering role with similar responsibilities Extensive experience and understanding of GCP and it's capabilities Experience working in Go / PHP environments (you do not need to be able to do hands on coding with these technologies) Demonstrated ability to lead complex technical changes or platform modernisation Extensive experience in software engineering, including leadership of multiple teams Experience working with transactional platforms (low latency) Prior experience leading cloud-native transformation programs is desirable Important Notice: Both Leo Technology and the companies we partner with are incredibly passionate about building environments where people from all backgrounds and walks of life are embraced. Our mission is to welcome everyone and create inclusive teams. We celebrate difference and encourage people from all backgrounds to apply. Leo Technology Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Leo Technology website
Apr 22, 2026
Full time
The Job: Job Title: Head of Engineering Industry: Enterprise SaaS - High volume transactions Tech stack: GCP, Golang, PHP Working Set-Up: Hybrid working set-up (Central London an average of once per month) Salary - £100,000-£120,000 p/a (dependent on experience) Benefits - Discretional 10% annual bonus, 25 days annual leave +BH's, private healthcare and more Interview process: 3 stages (virtual) The Role: This is a hire of high importance for one of Leo technology's key clients. This company, who are industry leaders in retail and hospitality loyalty software (enterprise SaaS), are looking to appoint a Head of Engineering to lead the engineering team and continue driving the evolution of their cloud-based technology platform while they focus on moving to a more cloud-native SaaS architecture. In this role, you will be responsible for owning the engineering strategy, delivery, and operational performance, ensuring the company effectively deliver a reliable, secure platform for their enterprise customers, all while executing a multi-year technology transformation. This position is instrumental in the company achieving their next phase of growth, and as a result, you will be given the opportunity to shape the future technical foundation of the business while leading teams through change. You'll be tasked with balancing innovation with reliability for global enterprise customers. This role is ideal for an experienced Engineering Manager / Head of Engineering who has experience leading multiple engineer teams, contributing to the overall technical strategy, and leading cloud-native transformation programs. Key Responsibilities (not limited to): Define and execute the engineering strategy supporting the companies transition to a cloud-native, service-oriented architecture Act as a senior technical leader and point of escalation for complex technical decisions Lead, develop, and coach engineering managers / technical leaders Own delivery and engineering health metrics (incl. reliability, quality, and technical debt) Improve Agile delivery practices Work with key stakeholders to manage the transition from monolithic systems to distributed, cloud-native services Manage engineering budgets, day to day cloud spend, and third-party technology partners The Person: Experience working in a Engineering Manager or Head of Engineering role with similar responsibilities Extensive experience and understanding of GCP and it's capabilities Experience working in Go / PHP environments (you do not need to be able to do hands on coding with these technologies) Demonstrated ability to lead complex technical changes or platform modernisation Extensive experience in software engineering, including leadership of multiple teams Experience working with transactional platforms (low latency) Prior experience leading cloud-native transformation programs is desirable Important Notice: Both Leo Technology and the companies we partner with are incredibly passionate about building environments where people from all backgrounds and walks of life are embraced. Our mission is to welcome everyone and create inclusive teams. We celebrate difference and encourage people from all backgrounds to apply. Leo Technology Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Leo Technology website
MCS Group are exclusively partnering with a high-growth, AI-first software company in Belfast to recruit a Technical Lead. This is a unique opportunity to join a business operating at the forefront of AI-assisted software development, where up to 50% of engineering output is already delivered using AI tooling.Backed by a large global parent, this organisation offers the ideal blend of startup agility and enterprise stability.About the RoleThis is a hands-on Technical Lead position where you will play a key role in shaping engineering practices, driving delivery, and embedding AI-first development approaches.Lead a team engineers (4-5 reports) while remaining heavily hands-onDrive adoption of AI-assisted developmentContribute to architecture, technical decision-making, and system designWork closely with Product and DeliveryMentor and develop engineers, improving capability and outputInfluence engineering standards, tooling, and best practicesAbout YouYou will be a strong senior engineer or Technical Lead who combines hands-on expertise with leadership capability.Proven experience as a Technical Lead or Senior Engineer with mentoring/leadershipStrong background in backend development (Java, C#, or similar)Demonstrated use of AI coding tools in a commercial setting (not just experimentation)Experience improving delivery through modern engineering practicesStrong understanding of cloud, DevOps, and scalable systemsComfortable working in a fast-paced, collaborative environmentStrong communication skills with the ability to influence across teamsWhat's on OfferSalary circa £70,000 Bonus scheme Hybrid working (1-2 days onsite in Belfast)36 days annual leave (including birthday)Private healthcare & enhanced pensionStrong focus on learning, development, and progressionOpportunity to work in a genuinely AI-first engineering environment To speak in absolute confidence about this opportunity, please send an up to date CV via the link provided or contact Matthew Rainey at Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current and exclusive roles MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request. Not all agencies are the same MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google.
Apr 22, 2026
Full time
MCS Group are exclusively partnering with a high-growth, AI-first software company in Belfast to recruit a Technical Lead. This is a unique opportunity to join a business operating at the forefront of AI-assisted software development, where up to 50% of engineering output is already delivered using AI tooling.Backed by a large global parent, this organisation offers the ideal blend of startup agility and enterprise stability.About the RoleThis is a hands-on Technical Lead position where you will play a key role in shaping engineering practices, driving delivery, and embedding AI-first development approaches.Lead a team engineers (4-5 reports) while remaining heavily hands-onDrive adoption of AI-assisted developmentContribute to architecture, technical decision-making, and system designWork closely with Product and DeliveryMentor and develop engineers, improving capability and outputInfluence engineering standards, tooling, and best practicesAbout YouYou will be a strong senior engineer or Technical Lead who combines hands-on expertise with leadership capability.Proven experience as a Technical Lead or Senior Engineer with mentoring/leadershipStrong background in backend development (Java, C#, or similar)Demonstrated use of AI coding tools in a commercial setting (not just experimentation)Experience improving delivery through modern engineering practicesStrong understanding of cloud, DevOps, and scalable systemsComfortable working in a fast-paced, collaborative environmentStrong communication skills with the ability to influence across teamsWhat's on OfferSalary circa £70,000 Bonus scheme Hybrid working (1-2 days onsite in Belfast)36 days annual leave (including birthday)Private healthcare & enhanced pensionStrong focus on learning, development, and progressionOpportunity to work in a genuinely AI-first engineering environment To speak in absolute confidence about this opportunity, please send an up to date CV via the link provided or contact Matthew Rainey at Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current and exclusive roles MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request. Not all agencies are the same MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & 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.
Apr 22, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & 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.
Apr 22, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & 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.
Apr 22, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & 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.
My client are looking to recruit a Senior Building Surveyor to join their growing team in Milton Keynes. The role will primarily cover Central & North London, as well as areas surrounding Milton Keynes. This is a busy, varied position that supports the surveying team on a range of projects, mainly residential buildings across all forms of construction. Key Responsibilities: Inspect and advise on design, construction, maintenance, repair, and refurbishment of buildings. Conduct acquisition surveys, condition reports, measured surveys, and defect investigations. Prepare reports, schedules of works, and specifications. Design and oversee works using building contracts and technical standards. Manage large value projects independently with consultancy services expertise. Apply relevant legislation, including health and safety, party wall, building regulations, and planning. Promote the company's services and the brand to secure new projects. Provide support and supervision to APC candidates. Comply with administrative, personnel, and health & safety regulations. Key Requirements: MRICS Accreditation. Experience in consulting engineering, surveying, and architectural practices. Strong defect diagnosis and report writing skills. Insurance repair project experience preferred. Experience in negotiation, leadership, and supervising teams. Ability to work to deadlines and within budgets. Knowledge of CDM Regs 2015, Party Wall, and Building Regulation legislation. Please apply or speak to Jack on (phone number removed) to discuss further
Apr 22, 2026
Full time
My client are looking to recruit a Senior Building Surveyor to join their growing team in Milton Keynes. The role will primarily cover Central & North London, as well as areas surrounding Milton Keynes. This is a busy, varied position that supports the surveying team on a range of projects, mainly residential buildings across all forms of construction. Key Responsibilities: Inspect and advise on design, construction, maintenance, repair, and refurbishment of buildings. Conduct acquisition surveys, condition reports, measured surveys, and defect investigations. Prepare reports, schedules of works, and specifications. Design and oversee works using building contracts and technical standards. Manage large value projects independently with consultancy services expertise. Apply relevant legislation, including health and safety, party wall, building regulations, and planning. Promote the company's services and the brand to secure new projects. Provide support and supervision to APC candidates. Comply with administrative, personnel, and health & safety regulations. Key Requirements: MRICS Accreditation. Experience in consulting engineering, surveying, and architectural practices. Strong defect diagnosis and report writing skills. Insurance repair project experience preferred. Experience in negotiation, leadership, and supervising teams. Ability to work to deadlines and within budgets. Knowledge of CDM Regs 2015, Party Wall, and Building Regulation legislation. Please apply or speak to Jack on (phone number removed) to discuss further
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & 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.
Apr 22, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A 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 : 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 experiences Inclusion & 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.
MUST HAVE ACTIVE SC CLEARANCESenior Technical Architect (Salesforce) 3-month contract (possible extension) £700-£800 per day - Inside IR35 Full time - 1 day per week in Cardiff, London or Glasgow A Governing Body is seeking an experienced Senior Technical Architect (Salesforce) to provide technical leadership across multiple Salesforce workstreams within a large digital transformation programme. This role sits within a multidisciplinary digital and data function, supporting secure, scalable, and user-centred Salesforce services.The successful candidate will play a key role in shaping technical direction, designing robust Salesforce solutions, and ensuring architectural standards are applied across a complex enterprise environment. This is a critical position for someone with deep Salesforce platform knowledge and strong architectural expertise. Purpose of the Role The Senior Technical Architect will lead the design, assurance, and governance of Salesforce solutions across several programmes. You will define technical architectures, influence delivery teams, and ensure that solutions are secure, scalable, maintainable, and aligned with strategic technology objectives.Key focuses include: Designing end-to-end Salesforce architectures across multiple clouds Ensuring alignment with architectural, security, and data governance standards Supporting integration with enterprise systems and legacy platforms Providing technical leadership and mentoring to engineers and architects Contributing to the organisation's Salesforce architecture community and best-practice standards Key Responsibilities Lead the design and documentation of Salesforce technical solutions, ensuring they meet user and business needs. Provide expert technical assurance across Salesforce implementations and integrations. Define and govern technical standards, reusable patterns, and architecture principles. Design integration patterns for interoperability with enterprise systems and data platforms. Work closely with delivery teams to resolve technical challenges and inform architectural decisions. Mentor technical colleagues and support the development of internal capability. Contribute to Salesforce Centre of Excellence (CoE) activities and community standards. S kills & Experience Required Essential Proven experience designing and leading Salesforce solutions across multiple clouds (Service, Experience, PSS, Core Platform, etc.). Strong understanding of Salesforce architecture, configuration, and technical best practices. Experience designing integration patterns, APIs, and middleware for connecting Salesforce to enterprise systems. Ability to produce and maintain architectural artefacts using tools and frameworks (Archi, ArchiMate, UML, etc.). Experience applying secure design principles, data governance, and architectural assurance. Active SC Clearance (mandatory). Relevant certifications (or ability to obtain within 6 months), such as: Salesforce Technical Architect certifications TOGAF, BCS EA, Zachman, or equivalent architectural qualification Desirable Experience working within public-sector digital standards or assurance frameworks. If you are interested in this opportunity and hold an Active SC Cleqarance, please feel free to apply. Morgan Hunt is a multi-award-winning recruitment Business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to temporary vacancies. Morgan Hunt is an equal opportunities employer, job suitability are assessed on merit in accordance with their skills, qualifications and abilities to perform the relevant duties required in a particular role.
Apr 22, 2026
Seasonal
MUST HAVE ACTIVE SC CLEARANCESenior Technical Architect (Salesforce) 3-month contract (possible extension) £700-£800 per day - Inside IR35 Full time - 1 day per week in Cardiff, London or Glasgow A Governing Body is seeking an experienced Senior Technical Architect (Salesforce) to provide technical leadership across multiple Salesforce workstreams within a large digital transformation programme. This role sits within a multidisciplinary digital and data function, supporting secure, scalable, and user-centred Salesforce services.The successful candidate will play a key role in shaping technical direction, designing robust Salesforce solutions, and ensuring architectural standards are applied across a complex enterprise environment. This is a critical position for someone with deep Salesforce platform knowledge and strong architectural expertise. Purpose of the Role The Senior Technical Architect will lead the design, assurance, and governance of Salesforce solutions across several programmes. You will define technical architectures, influence delivery teams, and ensure that solutions are secure, scalable, maintainable, and aligned with strategic technology objectives.Key focuses include: Designing end-to-end Salesforce architectures across multiple clouds Ensuring alignment with architectural, security, and data governance standards Supporting integration with enterprise systems and legacy platforms Providing technical leadership and mentoring to engineers and architects Contributing to the organisation's Salesforce architecture community and best-practice standards Key Responsibilities Lead the design and documentation of Salesforce technical solutions, ensuring they meet user and business needs. Provide expert technical assurance across Salesforce implementations and integrations. Define and govern technical standards, reusable patterns, and architecture principles. Design integration patterns for interoperability with enterprise systems and data platforms. Work closely with delivery teams to resolve technical challenges and inform architectural decisions. Mentor technical colleagues and support the development of internal capability. Contribute to Salesforce Centre of Excellence (CoE) activities and community standards. S kills & Experience Required Essential Proven experience designing and leading Salesforce solutions across multiple clouds (Service, Experience, PSS, Core Platform, etc.). Strong understanding of Salesforce architecture, configuration, and technical best practices. Experience designing integration patterns, APIs, and middleware for connecting Salesforce to enterprise systems. Ability to produce and maintain architectural artefacts using tools and frameworks (Archi, ArchiMate, UML, etc.). Experience applying secure design principles, data governance, and architectural assurance. Active SC Clearance (mandatory). Relevant certifications (or ability to obtain within 6 months), such as: Salesforce Technical Architect certifications TOGAF, BCS EA, Zachman, or equivalent architectural qualification Desirable Experience working within public-sector digital standards or assurance frameworks. If you are interested in this opportunity and hold an Active SC Cleqarance, please feel free to apply. Morgan Hunt is a multi-award-winning recruitment Business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to temporary vacancies. Morgan Hunt is an equal opportunities employer, job suitability are assessed on merit in accordance with their skills, qualifications and abilities to perform the relevant duties required in a particular role.
Job Title Network Engineer Location (Onsite Aberdeen) Experience 5+ Years Role Type Techno-Managerial / Technical Lead Role Summary The Network Engineer is responsible for the design, security, operations, and continuous improvement of enterprise network infrastructure. This role combines deep technical expertise with team leadership, client engagement, and service delivery ownership. The Network Engineer serves as the primary technical authority for networking across routing, switching, wireless, data center, and security domains, while ensuring high availability, compliance, and operational excellence across global environments. Key Responsibilities Network Architecture & Operations Lead the design, deployment, administration, and day-to-day operations of enterprise network infrastructure, including routers, switches, wireless, and network security components. Own network security architecture and operations, ensuring adherence to security best practices, compliance standards, and organizational policies. Provide technical oversight for data center networking environments, including Cisco Nexus and ACI-based architectures. Oversee enterprise wireless network deployments and operations; experience with HPE Aruba Wireless solutions is highly desirable. Technical Leadership & Team Management Provide technical leadership and guidance to L1, L2, and L3 engineers, including mentoring, technical reviews, and quality assurance of deliverables. Manage and coordinate onshore and offshore teams across multiple time zones to ensure 24x7 operational coverage and consistent service delivery. Act as the highest escalation point for complex network incidents, driving root cause analysis and long term remediation. Client & Stakeholder Management Serve as the primary technical point of contact for clients, managing expectations and building trusted relationships. Conduct regular service reviews, present network performance metrics, and provide clear status and risk reporting to stakeholders. Partner with internal and external teams to align network services with client and business objectives. Monitoring, Governance & Reporting Govern the use of infrastructure monitoring and observability tools, ensuring effective dashboards, alerts, and proactive monitoring. Review monitoring data to identify trends, risks, and improvement opportunities, and ensure periodic performance reporting to clients. Transformation & Continuous Improvement Lead network refresh, migration, and transformation initiatives, including end-of-life device replacements and architecture upgrades. Drive continuous improvement through automation, documentation, standard operating procedures (SOPs), and operational best practices. Promote standardization, scalability, and reliability across network platforms and services. Required Skills & Experience 5+ years of experience in network infrastructure and network security roles, with experience in a lead or techno managerial position. Strong hands on expertise in routing, switching, and network security, including design, deployment, and troubleshooting. Proven experience managing large enterprise wireless environments; HPE Aruba experience is a strong advantage. Solid experience with Cisco Nexus and ACI in data center or large enterprise environments. Qualification Hands on experience with infrastructure monitoring and observability tools such as SolarWinds, PRTG, or equivalent platforms. Demonstrated experience in client management, service delivery, and stakeholder communication. Proven ability to lead offshore and distributed teams and work effectively across time zones. Strong leadership, decision making, problem solving, and communication skills. Locations Edinburgh Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
Apr 22, 2026
Full time
Job Title Network Engineer Location (Onsite Aberdeen) Experience 5+ Years Role Type Techno-Managerial / Technical Lead Role Summary The Network Engineer is responsible for the design, security, operations, and continuous improvement of enterprise network infrastructure. This role combines deep technical expertise with team leadership, client engagement, and service delivery ownership. The Network Engineer serves as the primary technical authority for networking across routing, switching, wireless, data center, and security domains, while ensuring high availability, compliance, and operational excellence across global environments. Key Responsibilities Network Architecture & Operations Lead the design, deployment, administration, and day-to-day operations of enterprise network infrastructure, including routers, switches, wireless, and network security components. Own network security architecture and operations, ensuring adherence to security best practices, compliance standards, and organizational policies. Provide technical oversight for data center networking environments, including Cisco Nexus and ACI-based architectures. Oversee enterprise wireless network deployments and operations; experience with HPE Aruba Wireless solutions is highly desirable. Technical Leadership & Team Management Provide technical leadership and guidance to L1, L2, and L3 engineers, including mentoring, technical reviews, and quality assurance of deliverables. Manage and coordinate onshore and offshore teams across multiple time zones to ensure 24x7 operational coverage and consistent service delivery. Act as the highest escalation point for complex network incidents, driving root cause analysis and long term remediation. Client & Stakeholder Management Serve as the primary technical point of contact for clients, managing expectations and building trusted relationships. Conduct regular service reviews, present network performance metrics, and provide clear status and risk reporting to stakeholders. Partner with internal and external teams to align network services with client and business objectives. Monitoring, Governance & Reporting Govern the use of infrastructure monitoring and observability tools, ensuring effective dashboards, alerts, and proactive monitoring. Review monitoring data to identify trends, risks, and improvement opportunities, and ensure periodic performance reporting to clients. Transformation & Continuous Improvement Lead network refresh, migration, and transformation initiatives, including end-of-life device replacements and architecture upgrades. Drive continuous improvement through automation, documentation, standard operating procedures (SOPs), and operational best practices. Promote standardization, scalability, and reliability across network platforms and services. Required Skills & Experience 5+ years of experience in network infrastructure and network security roles, with experience in a lead or techno managerial position. Strong hands on expertise in routing, switching, and network security, including design, deployment, and troubleshooting. Proven experience managing large enterprise wireless environments; HPE Aruba experience is a strong advantage. Solid experience with Cisco Nexus and ACI in data center or large enterprise environments. Qualification Hands on experience with infrastructure monitoring and observability tools such as SolarWinds, PRTG, or equivalent platforms. Demonstrated experience in client management, service delivery, and stakeholder communication. Proven ability to lead offshore and distributed teams and work effectively across time zones. Strong leadership, decision making, problem solving, and communication skills. Locations Edinburgh Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
