606 jobs found

Head of Information Technology/Head of Information Systems - IT Strategy, Technology Leadership, Team/Line Management, Stakeholder Engagement, Governance; Management oversight of: Infrastructure/Cloud, Datacentre, Service Delivery, Applications, ERP, Security, Vendor Management, Programme Management; Business Intelligence, ITIL. Permanent, East Kent/Hybrid. £100k - £120k +Car Allowance +Bonus +Benefits (Negotiable on experience). Head of IT/Head of Information Systems required by leading organisation within the heavy building materials, logistics and construction industry. The Head of IT/Head of Information Systems will be responsible for overseeing the strategic direction, development, and management of information systems and technology infrastructure across all business units. This role ensures that IT operations are aligned with business strategy and drive digital transformation initiatives. The successful candidate will lead the design, implementation, and maintenance of secure, scalable, and efficient systems (Enterprise Software Applications, Infrastructure) whilst managing IT operations, governance, cybersecurity, data strategy, compliance, budgets and personnel. As such you will have ultimate responsibility for: IT Strategy, Digital Transformation, IT Programmes and the evolution of the IT environment Line and subsequent Matrix management of a multi-disciplinary IT team Oversight of the design, delivery and management of all IT systems inc Applications, Infrastructure (Desktop, Server inc Datacentre, Cloud, Networks etc) Oversight of core business systems including enterprise-wide ERP systems Service Delivery, ITIL processes and support for a mid-sized national userbase IT Security and Governance inc InfoSec Policy and Procedure Senior level business stakeholder engagement and advisory presenting relevant Business Intelligence to board level to drive operational change Budgetary management and reporting Vendor selection and management including contract management You may have been working in either a Head of IT, Head of Information Systems, IT Director, CIO, CTO (or deputy) role ideally within mid-sized corporate environments. We welcome candidates from a range of backgrounds but any experience within building services, construction, engineering, primary industry, logistics or related sectors would be of additional interest. You will however be able to demonstrate: Significant experience gained in IT leadership roles at a senior level Strong leadership and management oversight experience of a small teams of Infrastructure, Application Support (ERP), Service Delivery and Project/Programme Management functions Vendor and departmental budgetary management responsibility Proven experience in enterprise IT management, systems integration, cybersecurity, and digital transformation (ERP/CRM/Azure Cloud, Networks etc) Hands-on senior level Programme and Project Management expertise Strong knowledge of IT governance frameworks (eg, ITIL) and compliance standards. Experience managing IT operations across multiple sites or business units is highly desirable. Strong commercial engagement expertise with advisory Business Intelligence focus ITIL awareness and Change Management This is an excellent opportunity to join a stable, well-established leader in the construction industry during a time of operational change; you will be instrumental in leading and shaping the IT/IS environment over many years to come as well as shaping the broader business via technology-led initiatives. You will need a driving license and car to reach the company's head offices. Easily commutable from Canterbury, Whitstable, Herne Bay, Ramsgate, Deal, Folkestone, Dover, Faversham, Thanet or Ashford, Kent.

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.

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. As a Product Design Manager in our digital customer experience team, you'll own the creation of world-class customer experiences and deliver transformative solutions across and the My Sky app. You'll lead Agile teams, drive design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: Inspire a team of designers to craft intuitive, evidence-led experiences across web and app platforms, while nurturing their growth through tailored development. Shape design strategy that aligns with business goals, championing the customer voice and influencing product roadmaps. Partner across disciplines- from product to engineering - to ensure solutions meet user, business, and technical needs. Drive innovation through AI tools, design systems, and motion principles, delivering seamless, brand-aligned app-first experiences. Translate customer insights into actionable design improvements, leading workshops, sprints, and research collaboration. Own delivery and quality, track CX KPIs, and ensure accessibility standards are met across scalable, end-to-end journeys. What you'll bring: Track record in delivering world-class, customer-centred large-scale digital products and services across responsive web and native applications. Experience leading design teams across multiple workloads and complex initiatives Expert-level Figma skills, including scalable templates, advanced prototyping and experience leading large-scale component libraries Mastery in accessibility to create inclusive experiences, user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to understand and improve journeys. Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments. Please include portfolio/content showing evidence of your experience across these four areas: 1. People - Helping develop high-performing teams. 2. Process - Applying scalable UCD methods that drive measurable outcomes. 3. Position - Influencing strategy and embedding design across an organisation. 4. Product - Producing provable world-class app-first digital experiences (Outcomes & Impact) 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 How you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base London (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. Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. A job you love to talk about. 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.

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.

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.

Management Accountant - Manufacturing - Cheshire West £50-60k Hybrid We are currently recruiting for an experienced Management Accountant (can be PQ or QBE with significant experience), to join a dynamic, fast-moving manufacturing business. This role will play a pivotal part in supporting financial performance, strengthening controls, and providing meaningful insight to support decision-making across the organisation. Operating in a challenging and evolving environment, this is an excellent opportunity to contribute to a business amidst an exciting period of transition and growth. Key Responsibilities Conduct detailed cost analysis across areas such as labour, materials, overheads, and product costing Build effective working relationships with both finance and non-finance stakeholders Prepare and deliver monthly management accounts in line with agreed reporting deadlines Support finance systems enhancements, upgrades, or implementations where required Monitor and report on key operational and financial performance indicators Maintain ownership of the balance sheet, ensuring accuracy through regular reconciliations Provide guidance and support to junior members of the finance team Identify and implement improvements to financial processes, controls, and reporting Assist in the preparation of budgets, forecasts, and periodic reforecasts in collaboration with operational teams Act as a key point of contact for financial queries across the business Deliver detailed variance analysis with clear commentary to support senior management decisions Ensure compliance with internal controls and relevant regulatory standards Partner with key departments including operations, production, and supply chain to provide financial insight Support year-end processes, including audit and statutory reporting requirements Contribute to ongoing process improvements by providing constructive financial challenge Skills & Experience Fully qualified OR Part Qualified /QBE with significant, demonstrable experience of Management Accounting in a busy manufacturing environment. Strong experience in management accounting, including budgeting and forecasting Solid understanding of balance sheet management and reconciliations Ability to work in a fast-paced environment and manage multiple priorities Advanced Excel skills and experience with financial systems Background in manufacturing, FMCG, logistics or a similar operational environment Exposure to cost-focused environments such as production, logistics, or engineering Hybrid flexible working, Life Assurance, healthcare cash plan, 34 days holiday (28 days holiday plus 8 bank holidays) Study support if desired.

In this role, you'll be responsible for maintaining and enhancing financial models, ensuring accurate reporting, and delivering forecasting that supports critical business decisions. Acting as a key business partner, you will bridge finance with multiple operational teams. Core Responsibilities Support the division's finance team with planning, forecasting, and analysis of Fixed Costs (headcount, T&E, project materials, depreciation, allocations, etc.). Reconcile headcount actuals and forecasts while partnering with business managers and HR to track leavers, transfers, new hires, and organisational changes. Ensure alignment across systems such as OneStream, Workday, and Anaplan. Assist in managing divisional budgets by monitoring spend, understanding cost drivers, and identifying and explaining key variances. Support monthly and quarterly closes, including expense reconciliation, accruals, and comparative analysis versus forecast. Proactively identify risks and opportunities across operating expenses. Build and maintain standardised monthly and quarterly management reports. Work with engineering teams to optimise costs on strategic programmes. Input forecast and planning data into the OneStream financial reporting system and maintain accuracy across all relevant working files. Deliver ad-hoc analysis to support strategic and operational decision-making. What We're Looking For Experience managing operating expenditures within a high-tech or complex engineering environment, ideally with strong business partnering exposure. Excellent financial discipline with the ability to validate data and apply sound analytical judgement. Proficiency in financial reporting systems (e.g., SAP, OneStream) and strong Excel and PowerPoint capability. Self-driven, results-focused, and able to work well independently. Comfortable operating in a fast-moving environment with shifting priorities and multiple stakeholders. Strong communication and collaboration skills. A positive, proactive team player with a strong sense of ownership. What We Offer This role provides an exciting opportunity to build a long-term career within a rapidly growing, industry-leading organisation. You will benefit from a structured development path, exposure to global teams, and the chance to make a real impact in the business. Benefits include: 25 days annual leave plus bank holidays Annual Bonus Contributory pension scheme Cash health plan Cycle-to-work scheme Share scheme Rewards programme Life assurance

Head of Cloud Platforms Salary: up to £95,000 Contract: Permanent We are working on behalf of our client to recruit a Head of Cloud Platforms. This is a senior leadership role sitting within the IT department, reporting to the Director of Infrastructure & Operations. The Role You will lead the Cloud Platform and Integration teams, taking ownership of the strategic direction and day-to-day management of cloud platforms (AWS & Azure), DevOps tooling, and systems integration (middleware). You will define the long-term technical roadmap, oversee CI/CD pipelines and infrastructure-as-code (IaC), and ensure platforms are secure, reliable, and cost-effective. Working closely with software development, infrastructure, cyber security, and business teams, you will align platform engineering with the wider digital strategy, drive automation, and act as a technical leader and mentor across their team. Key Responsibilities: Lead and manage the Cloud Platform and Integration teams, ensuring effective collaboration and delivery Define and implement cloud architecture, automation strategies, and CI/CD pipelines across AWS, Azure, and M365 Drive adoption of IaC and automated deployment processes Oversee systems integration architecture, ensuring compatibility and performance across cloud, on-premises, and hybrid environments Lead incident response, disaster recovery planning, and BCP/DR testing Monitor platform performance and establish KPIs and SLAs for availability, security, and uptime Lead security audits, risk assessments, and vulnerability management, working alongside Cyber Security teams Mentor senior technical leads and support their professional development Engage with stakeholders to translate business requirements into technical solutions Evaluate new tools and technologies to improve infrastructure efficiency and scalability Skills and Experience Required: Deep knowledge of AWS (EC2, VPC, RDS, S3, CloudFront, Route 53, IAM, CloudWatch, EKS) and Microsoft Azure Experience managing and delivering within multi-cloud environments Hands-on experience with CI/CD pipelines and GitOps practices (e.g. Jenkins, Bitbucket, Terraform) Experience deploying and maintaining Linux systems (Ubuntu, CentOS, RHEL, Amazon Linux) Knowledge of containerisation technologies including Docker and Kubernetes Experience with middleware technologies, including AWS SQS/SNS and API Gateway Scripting skills in Bash and/or Python Proven experience managing technical teams and providing clear direction Strong communication skills, with the ability to present technical information to varied audiences James Andrews is acting as an employment agency and business in relation to this role. At James Andrews Recruitment Solutions we try to respond to all applications personally, however, due to the high volume of applications this is not always possible. If you have not heard back from us within 72 hours, please assume that your application has been unsuccessful on this occasion. Don't forget our recommendation scheme: Recommend a friend or colleague to us and receive up to £100 each once they have completed 20 days in a role via James Andrews! Terms and conditions apply, contact us for details.

Job Title: Fabricator - Plater Location: Glasgow, Govan and Scotstoun, Onsite - Must be able to attend a recruitment day in Glasgow Salary: £38,662 - plus 33% shift allowance where applicable Shift Pattern: Days - Mon-Thurs, 07:00-16:30, Nights - Mon-Thurs 20:30-06:00, Weekends - Fri-Sun, 07:00-19:30 Requirements: Modern Apprenticeship / Trade Papers must be provided when submitting your application Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you'll be doing: Interpret engineering drawings, mark off materials and prepare plate using methods such as oxy fuel cutting and hand grinding Assemble ship structures - including shell, decks, bulkheads, frames and longitudinals - ensuring all components are accurately fitted, faired and tack welded Fabricate ship items such as seats, ladders, false flooring, panels, hatches, watertight doors, equipment seats and flooring systems Form materials using machine tools, including rolling, flanging and cutting equipment such as guillotines, croppers and mechanical saws Essential skills: You are required to hold a Modern Apprenticeship certificate also known as Trade Papers (you will be required to provide these papers on application and in person) and relevant mechanical qualifications (e.g., SVQ3, City & Guilds, or equivalent) Demonstrating up to date fabrication knowledge and hands on experience in construction or manufacturing environments Understanding and applying core manufacturing processes and completing tack welding to required safety and quality standards Demonstrate you are able to operate oxy fuel and/or plasma cutting equipment confidently and responsibly You will follow SHE principles and risk assessment requirements in all working conditions You'll have experience of working safely in confined spaces or at height, supported by relevant safety certifications The Fabricator Team: BAE Systems designs and builds world class naval ships and our Fabricator Platers play a vital role in delivering the Type 26 frigates. Working in teams of 6-12, you'll apply SVQ3 level training and marine fabrication experience to produce high quality steelwork that supports essential defence projects. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 29th April 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.

SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base. The company has a worldwide impact in the marine sector by leading the next generation of Maritime Domain Awareness technologies "MDA", products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners. SRT is an exciting company where high-quality results are rewarded. We are ambitious and constantly seek to innovate in order to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work, where talented, hard-working individuals have the opportunity to make a real impact across the marine industry. Role overview of our UX/UI Designer As a UX/UI Designer here with us at SRT, you will be someone with strong UX thinking, solid visual design skills, and experience delivering end-to-end design work, from research and wireframes through to polished UI. We're looking for a UX/UI Designer to help shape the user experience across our desktop, web, and mobile applications. You'll work closely with our Design, Product, and Engineering teams. In this role you will be at home using Figma with experience contributing to and scaling component-based design systems and have a thorough understanding of atomic design principals. Comfortable articulating your design decisions to your team members and stakeholders alike. This is a great opportunity to enhance your skills while working on complex, real-world software products. The role of UX/UI Designer role is a hybrid working position based from our Cardiff office, you will be required to attend office 1 day per week as per the team's requirements. UX/UI Designer - Responsibilities (not exhaustive): Take end-to-end ownership of designing new features and product improvements, from concept through to delivery across our software platforms for web and mobile Help maintain and evolve our design system, patterns, and UI guidelines Prototype and test ideas to validate solutions Contribute ideas to continuously improve our user experience UX/UI Designer - Required Skills and Experience ESSENTIAL - Highly experienced with Figma ESSENTIAL - You must have an online portfolio Provide link to this in your application Strong working knowledge of Photoshop and Illustrator Experienced in taking complex problems and simplifying them into intuitive user interfaces Proven ability to manage end-to-end design processes for mobile and web, including developer handoff Understanding of UX/UI principles and usability best practices Experience working in an agile environment is beneficial Company Benefits Highly Competitive Salary and Pension Hybrid Working Development opportunities SRT Marine Systems plc are an equal opportunity employer. We are committed to creating an inclusive working environment for all employees and actively encourage applications from all sectors of the community.

Application Integration Architect Role Overview We are looking for an experienced Application Integration Architect to lead the design and delivery of scalable, high-performance integration solutions across enterprise systems. This role sits at the intersection of architecture, engineering, and business transformation-driving seamless interoperability between platforms while ensuring reliability, security, and performance. You will work closely with cross-functional teams, including engineering, operations, vendors, and business stakeholders, to define and implement robust integration strategies aligned with enterprise architecture principles. Key Responsibilities Design and architect end-to-end integration solutions using modern integration patterns (e.g., event-driven, microservices, API-led connectivity). Translate complex business requirements into scalable technical architectures, specifications, and data flow designs. Develop and govern integration standards, frameworks, and best practices across the organisation. Ensure resilient, secure, and high-throughput data exchange between applications, services, and external platforms. Lead the integration of enterprise systems, including collaboration with third-party vendors and technology partners. Support the onboarding and deployment of new platforms, ensuring seamless integration into the existing ecosystem. Troubleshoot and resolve complex integration issues, including performance bottlenecks and data inconsistencies. Oversee and coordinate integration testing strategies (unit, system, end-to-end) in collaboration with QA and delivery teams. Produce and maintain comprehensive technical documentation, including architecture diagrams, API specifications, and data models. Monitor integration performance and implement optimisation strategies (e.g., caching, asynchronous processing, load balancing). Stay ahead of emerging technologies and continuously evolve the integration landscape. Key Stakeholders Enterprise Architecture and IT Leadership Engineering, DevOps, and Support Teams Business Product Owners and Domain Experts External Vendors and Technology Partners Skills & Experience Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related discipline. 5+ years of hands-on experience in integration architecture, systems design, or software engineering. Strong expertise in API design and management (RESTful/SOAP), middleware, and integration platforms. Deep understanding of integration patterns (synchronous/asynchronous, messaging, event streaming). Proven experience with distributed systems design, data modelling, and technical documentation. Solid experience working within Agile/DevOps environments, including CI/CD and test automation practices. Proficiency in: Java and backend development frameworks SQL and database technologies REST/SOAP services, JSON, XML Messaging systems (e.g., Kafka, RabbitMQ) Desirable Skills Experience integrating ERP and CRM platforms in complex enterprise environments. Familiarity with cloud-native integration services (e.g., Microsoft Azure Integration Services, AWS Integration tools). Knowledge of security best practices (OAuth2, JWT, API gateways, encryption standards). Exposure to containerisation and orchestration technologies (Docker, Kubernetes). Personal Attributes Strong systems thinking with excellent analytical and problem-solving capabilities. Effective communicator, able to bridge technical and non-technical stakeholders. Collaborative mindset with the ability to influence and lead across teams. Highly organised, adaptable, and comfortable working in fast-paced environments. Strong ownership mentality with attention to detail and quality.

SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base. The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies "MDA", products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners. SRT is an exciting company where high-quality results are rewarded. We are ambitious and constantly seek to innovate in order to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work, where talented, hard-working individuals have the opportunity to make a real impact across the marine industry. We're seeking an experienced and versatile Senior Sensor Engineer join our Edge Team. This is a rare opportunity to help define and deliver our cutting-edge Maritime Surveillance and Fisheries Monitoring solutions, working at the intersection of hardware, software, and advanced sensor technologies. About the role of Senior Sensor Engineer - (not exhaustive): In the Edge Team, you'll work on the "sensors at the fringe" fixed and mobile surveillance equipment such as radars, cameras, RDF, AIS, and other specialist maritime sensors. Your mission as a Senior Sensor Engineer will be to integrate, calibrate, and optimise these systems in non-production environments, building the software that makes their outputs usable for downstream systems and training our Delivery Team for fielddeployment. The role spans multi-domain sensor fusion, AI-assisted analysis, anomaly detection, augmented reality, autonomous sentry operation, and evidence collection. You'll work closely with colleagues across software, hardware, data science, and infrastructure to bring innovative, high-performance edge solutions to life. What You'll Be Doing - Senior Sensor Engineer Design, develop, and maintain edge-sensor solutions focusing on performance, reliability, and scalability. Build test infrastructure to capture and analyse quality and performance metrics Work across the stack - UI, backend, robotics, device integrations, networking - learning new technologies as needed Collaborate with cross-functional teams to plan, build, and test complex functionality Diagnose and resolve technical issues through root cause analysis Automate SDLC processes to improve efficiency and reduce manual effort Produce and maintain technical documentation Mentor peers, contribute to code reviews, and promote collaborative working practices What You'll Bring - Senior Sensor Engineer Strong engineering mindset with experience in one or more of: Microsoft .Net, GoLang, Python, C++, Rust. Broad exposure to remote sensing disciplines, including: Mathematics, physics, and geospatial mapping Working with sensor hardware and electronics Networking principles, protocols, and services Application development across embedded, desktop, and web platforms Video and radar signal processing (e.g., OpenCV) AI-based, hardware-accelerated image processing (e.g., YOLO) Familiarity with Enterprise Systems architecture Experience with version control systems (Git) and SDLC automation tools Excellent problem-solving, debugging, and collaboration skills Our Values at SRT Ambition - Aspiring to lead in maritimedomain management Innovation - Driving improvement through creativity and forward-thinking Quality - Committing to high standards in performance and reliability Responsibility - Being individually accountable and team-driven Team - Collaborating openly with colleagues, partners, and customers Why Join Us? Work on mission-critical maritime surveillance systems used worldwide Be part of an ambitious, innovative, and supportive team Make a direct impact on global maritime safety and sustainability Enjoy flexible hybrid working Competitive salary and benefits, including: Matched pension contributions up to 5% Private health care Development and training programmes SRT Marine Systems plc is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and welcome applications from all backgrounds.