369 jobs found

Site Name: UK - Hertfordshire - Ware Posted Date: Jan 9 2026 This role leads a multi disciplinary Informatics Data Science team (for eg. data scientists, pharmaceutical scientists, data engineers, informatics and data systems specialists, and statisticians) to design, deliver and sustain digital and data capabilities across the value chain. The team supports New Product Introduction (NPI) and commercial manufacture at the Ware manufacturing site. Key elements of the role include: Managing the Informatics Data Science team (building team capability through coaching, training and development so members meet role expectations and regulatory requirements). Define and execute the site data and analytics strategy for Global Supply Chain operations and process performance with a focus on Product Lifecycle Management (PLM), Continuous Process Verification (CPV) and waste reduction. This includes the design, construction and implementation of new automated data processes, datamarts, reports, data models and data visualisations to accelerate the Introduction of New Products (NPI) and product transfers data, implementation of product performance process improvements, through root cause analysis and change management. Ensure the deployment of sustainable data solutions in compliance with Quality Management System (QMS), related requirements and aligned with GSK strategy. Maintain and curate data flows from sources such as SAP, IP21, eBR/LIMS and laboratory systems for GxP datasets, Periodic Product Reviews (PPRs), investigations, MSAT/CPV trending, other functional area data analytics and reporting. Support Smart Manufacturing (SM) Program and new tools as they get developed and need data science expertise including Artificial Intelligence (AI) applications across different areas at Ware. Help SM team to define data architecture, optimise data flows, develop visualisations and enable data decision making and problem solving for Business, in alignment with SM ambition. Partner with Central Digital Teams, Tech, Engineering, GPS, Quality and Production Teams to deliver Smart Manufacturing goals for Ware Site. Collaborate and influence business stakeholders to gather suitably structured information and ensure data is freely available (to aid /drive data use and data based decision making). Key Responsibilities: Responsible for the recruitment (including apprentices and industry placement students) and management of the Informatics Data Science team, to maintain and enhance DDA capability in support of the Global Supply Chain (GSC). Ensures Informatics capability at the Ware site is sustained for current and future requirements. Responsible for strategic direction / proactive approach, and influence to drive change and continuous improvement in the Data processes by improving or reducing the complexity of data processes: including implementing new or alternative business process improvements to maximise the business benefit, aligned to the change management strategy. May serve as the business lead for the development, deployment and/or migration to new system and business processes. Ensuring common standards are defined and adopted. Responsible for key data improvement projects i.e. design /development / pilot and deployment of local systems, data analytics tools / processes to facilitate the use and interpretation of data. Ensures that all data analytics activities are planned, resourced and completed on time, and in accordance with project and regulatory requirements. Collaborates with key stakeholders and partners other the business and functions (Medicines Development and Supply Quality / Technical / IT) to ensure that the data and reporting infrastructure is fit for purpose. Contributes to the wider informatics network, ensuring that best practices are incorporated into the local ways of working, maintaining a data science knowledge to ensure requirements of the site are considered in the development and roll out of global solutions. Support external and internal audits/inspections as required, and all relevant compliance requirements. About You: This role is a fantastic opportunity to be instrumental in developing and delivering the Ware Site's future factory strategy. You will be working at the forefront of digital transformation within GSK, in a high profile role with senior stakeholder involvement. About Ware Manufacturing Site: We are co located with our R&D colleagues and recently opened a new, state of the art oral solid dose facility at Ware. At this location our scientists, technicians and engineers (from R&D and Global Supply Chain - GSC) work collaboratively together (using the latest technologies) to rapidly knowledge transfer and deliver GSK's most innovative, medicines faster and more efficiently. On site we produce over 60 million respiratory inhalers each year with growing demand in future years. The site also processes Active Pharmaceutical Ingredient (API) for use both on site and other manufacturing sites in our network. APPLICATION CLOSING DATE - Friday 23rd of January 2026 (COB). Basic Qualifications: Bachelor's degree in Data Science, Pharmaceutical, Biological or Computer Sciences, Analytical Chemistry, Chemistry, Mathematics, Engineering, or another related subject with a high numeracy content. Relevant experience (eg; Data Science, Pharmaceutical Development or Manufacturing environment, with an emphasis on data analytics). Preferred Qualifications: Experience in managerial role within in a Data Science, Pharmaceutical Development or Manufacturing environment (with an emphasis on data analytics) or MSc/MEng or Data Science Post Graduate Degree. A broad experience of proven delivery within the Pharmaceutical or related industry, direct experience within technical roles, excellent interpersonal and leadership skills, excellent communication skills (oral and written). Benefits: Competitive base Salary Annual bonus based on company performance Opportunities to partake in on the job training courses Opportunities for support for professional development and chartership (accreditations and professional bodies) Access to healthcare and wellbeing programmes Employee recognition programmes What we value: We welcome people who bring curiosity, humility and a practical approach. We are committed to inclusion and to creating a supportive environment where everyone can grow. If you enjoy solving real problems, delivering measurable results, and helping teams succeed, we encourage you to apply. If you would like to learn more about our company wide benefits and life at GSK we would suggest looking at our webpage Life at GSK. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation ; oncology ; HIV ; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. We have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. . click apply for full job details

Senior Software Engineer - Frontend Leeds - 2x a week Salary: Up to £70k DOE. Fruition IT are working with a well-established private equity tech-first business who are embarking on a complete technical transformation. This client is looking to bring in a team of Software Engineers to work on a bespoke software platform as part of the business growth. The Frontend Software Engineer will be responsible for working in a creative environment to build the Front End platform to industry standards. You will be working with Scripting languages such as JavaScript and Typescript, spun up into an AWS platform. You'll be working alongside a very strong managerial team with great pedigree and have the opportunity to lead on architectural decisions while mentoring junior developers from a technical standpoint. What will I be doing? Developing web applications and systems using JavaScript, React and Typescript. Define and analyse business requirements. Support continuous improvement and integrations to enhance deployment. Collaborate with engineers, architects and tested to develop unit code. Working in an AWS environment Key requirements: JavaScript development, for at least 5 years. Experience with TypeScript and React. Experience with NodeJS. Experienced in application architecture principles Ability to structure applications in a solid saleable and maintainable manor Understanding of terraform as infrastructure as code. Working with REST and GraphQL. Agile ways of working (Scrum/Kanban). Strong written and verbal communication skills. If this role sounds of interest, please apply and someone will be in touch regarding the role. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical 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 Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical 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 Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical 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 Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical 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 Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical 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 Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical 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.

Head of Programme Delivery - London (Hybrid, 3 days onsite) Up to 110k base + strong benefits + bonus FTSE 250 Global Tech & Transformation TRIA are partnering with a rapidly evolving FTSE 250 organisation embarking on a major technology transformation journey. As the business transitions from a federated model to a centralised global structure, they are making significant investments in IT, modernisation, and enterprise-wide change. We're searching for a high-impact Head of Programme Delivery to lead a team of Programme Managers responsible for delivering up to 50m of core IT and technology change initiatives. This is a pivotal leadership role, reporting directly into the Transformation & Change Director, with a broad remit and high visibility across the global business. The Opportunity As Head of Programme Delivery, you will provide the strategic leadership, governance and direction needed to ensure the successful delivery of a diverse portfolio of programmes. Working closely with Architecture, business sponsors, and senior leadership, you'll shape the roadmap, set standards, champion business change, and drive measurable outcomes across the organisation. This role is right at the heart of a business modernising at pace - delivering significant, complex and global transformation. Key Responsibilities Define and execute programme strategy to meet evolving business goals. Lead business change , ensuring readiness, adoption, and outcome-focused delivery. Drive delivery of strategic and transformational programmes , covering planning, governance, KPIs, and resource allocation. Own stakeholder engagement , building strong relationships at C-suite and programme level. Embed robust governance , ensuring clarity of roles and alignment with enterprise portfolio processes. Lead programme assurance , including independent reviews and action planning. Shape programme scope , driving analysis, consultation, and integration across the wider change portfolio. Manage multi-year resource and budget planning , ensuring effective utilisation and financial control. Provide inspirational leadership , aligning your team behind strategy, vision and objectives. Build organisational capability , identifying skills gaps, mentoring talent, and uplifting delivery maturity across the function. What Will Help You Stand Out Proven track record in leading complex, high-value programme portfolios . Exceptional C-level stakeholder management skills. Experience delivering global transformation across complex, matrixed organisations. Evidence of improving or maturing programme delivery capability . Broad IT knowledge spanning infrastructure, applications, and enterprise change. Retail systems or store transformation experience is a bonus, but not essential. In the first instance please share your latest CV for immediate review.

Location for this position is flexible, we are accepting candidates who are able to work Hybrid in either our Livingston, London Osterley or Brick Lane Office. 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 key member of the Enterprise Technology Identity and Access Management team, you will help set the direction of Sky's Identity and Access Management (IAM) roadmap and strategy as we expand the platform (One Identity) to different business areas within Sky Group. You will be an authentication and access management specialist who will be comfortable developing, implementing, and maintaining secure and efficient IAM systems for our internal stakeholders. What You'll Do Design, develop, and implement IAM solutions using One Identity Manager. Collaborate with other team members to ensure that IAM solutions meet business requirements, security standards, and regulatory compliance. Develop custom scripts and processes to extend the functionality of One Identity Manager. Configure and maintain connectors for identity sources such as Active Directory, LDAP, and HR systems. Perform IAM solution testing, troubleshooting, and issue resolution. Be responsible for the development lifecycle, testing and deployment of your code, ensuring change compliance is maintained throughout. Proactively ensure that the platform remains in line with emerging technologies by ensuring upgrades are completed in a timely manner. Provide technical guidance to clients and other team members on IAM best practices, solution design, and implementation. Participate in the development and delivery of client training programs and technical documentation as required. Have an identity first approach with a sound understanding of the concept of least privileged. Conduct regular audits and assessments of the IAM stack identify and address any security gaps or vulnerabilities. Work with auditors to and supply evidence as required. Stay ahead of the security curve and make best practice recommendations to senior management (NIST, NCSC etc.) Be able to work autonomously on complex projects, gathering key information and making appropriate recommendations. Mentoring and support for other members of the Team. What You'll Bring Solid understanding of Identity Governance and Administration platforms (preferably One Identity) with extensive demonstrable recent experience in the field. Strong understanding of IAM concepts and protocols such as LDAP, SAML, OAuth, and OpenID Connect. Expertise in cross platform scripting (TSQL, Powershell, bash etc ) On premise and cloud directory services (LDAP, Azure AD, GSuite etc.) Be a subject matter expert on both legacy and modern authentication protocols. Have excellent security awareness including standards e.g., IS(phone number removed), NIST and CIS. Have a good understanding of Web APIs including SOAP, REST and GraphQL architectures. Have a good understanding of Access Controls and Identity Lifecycle management. Have excellent communication and organisational skills. Team overview Cyber Security Our products, platforms and technologies are constantly evolving that's why keeping Sky safe from cyber-attacks is one of our top priorities. Our Cyber Security team helps the business grow while protecting our customers, colleagues and partners from increasingly sophisticated cyber threats. Our team includes Cyber Fusion Centre, Security Services, Risk and Compliance, Programme Delivery and Business Security, and we work across the UK, Italy and Germany. Join us and you'll get involved in tackling challenges and future threats in an ever-changing cyber landscape. 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 Livingston Watermark House, Scotland Our lively campus is a free shuttle bus away from Livingston South train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. You'll be well fed at our subsidised canteen, and you can keep in shape at our onsite gym - or play a game of pool or table tennis. Osterle y, London 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. Brick Lane, London Brick Lane is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10 minute walk. 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.

Permanent, Full Time (35 hours per week) We re looking for a Cyber Security Lead to provide strategic leadership and organisation-wide direction for cyber security, setting security standards, influencing governance, and shaping long-term security strategy across JRF and JRHT About the role You will be responsible for leading the delivery of the organisation s cyber security activities, ensuring that digital systems and information assets are protected against current and emerging threats. Maintaining the cyber risk register, you will lead investigations into security breaches, coordinate disaster recovery (DR) and cyber incident response, and support business continuity planning (BCP), including defining Restore Point Objectives (RPOs) and Recovery Time Objectives (RTOs). The role ensures compliance with cyber security and information governance policies whilst providing subject matter expertise across the organisation. You will advise colleagues and senior stakeholders and act as a key liaison with third-party providers to safeguard our digital environment and ensure alignment with standards and audit requirements. This is a hands-on, standalone cyber security role. As the organisation s senior cyber security authority, the postholder will be the sole individual delivering cyber security activity, working closely with the Technology Manager and external IT provider. The role combines strategic oversight and independent risk-based decision-making with direct ownership of day-to-day cyber security delivery, driving continuous improvement in security maturity and organisational resilience. About you We are seeking an experienced cyber security professional with expertise in frameworks such as ISO 27001, NIST, CIS Controls, GDPR, the UK Data Protection Act, and Cyber Essentials. The successful candidate will bring expertise in disaster recovery, business continuity, risk management, internal controls, and security technologies including SIEM, firewalls, EDR, MFA, encryption, Microsoft Purview, and Microsoft Entra. Experience with incident response, cyber forensics, enterprise security architecture, secure-by-design principles, and managing third-party security risks is essential. The ideal candidate will have strong analytical and investigative skills to assess, document, report, and escalate cyber risks confidently. You will interpret vulnerability scans and penetration tests, evaluate cyber risks in projects or procurement, and deliver awareness programs, phishing simulations, and staff training. Excellent communication and stakeholder management skills are critical, including briefing senior leaders, liaising with external partners, and making high-impact security decisions under pressure. You will have hands-on experience working with cyber security tools or SOC services to monitor, detect, and respond to threats, as well as experience leading or supporting incident investigations and coordinating DR and BCP exercises. The role also involves supporting audits, compliance certifications, policy deployment, and regulatory requirements, with experience providing strategic advice to senior leadership or Boards. How to apply If you share our passion and this role sounds like you, then we re looking forward to hearing from you. Please submit your CV and supporting information via our online application platform. The closing date for applications is 19th January 2026. Interviews will take place TBC. We reserve the right to bring the closing date forward should enough quality applications be received prior to the current closing date. Additional Information Applications are welcome from all, regardless of age, disability, marriage or civil partnership, pregnancy or maternity, religion or belief, race, sex, sexual orientation, trans status or socioeconomic background. We positively encourage applications from people from marginalised backgrounds, including but not limited to those with experience of living in poverty. We are committed to being an anti-racist organisation and operate an anonymised recruitment process so that bias is eliminated from the shortlisting process. In support of our approach to flexible working, we are happy to receive applications from those seeking full-time employment, as well as those who may want to share the role on a part-time basis. When making your application, please state whether you want to be considered for either full or part-time work and, if part-time, the number of hours per week you would be looking for. At JRF we re at our best when we re continually building on trust, showing we care and making a difference and hope others will do the same. So, for those roles which allow it, we re developing a more blended approach to how and where you work. This means you can expect to work flexibly between the office and home (with an expectation of two days a week in your home office). We are a Disability Confident Employer. This means that we are committed to the recruitment, progression and retention of disabled individuals. We shall also offer interviews to disabled candidates who meet the minimum criteria for the job. If you have a disability, please tell us if you would like to be considered for an interview under the Disability Confident Scheme. If you have any additional needs and need reasonable adjustments to be made to the interview process, please let us know.

Job Title: SIAM Service Manager Role Purpose: Design and implement a robust service architecture across a multi-supplier , ensuring seamless integration of ITIL processes, ticket flows, and end-to-end SLAs. This role drives governance, service transition, and continual improvement while maintaining operational excellence. The support scope will cover L3 and L4 resolver groups. L1 and L2 are out of scope. This role will develop architecture for L3 and L4 and define alignment with L1 and L2 managed by MoD. ITSM tool configuration is out of scope for the client SIAM will be owned by the client, and this role will operate within that framework. Key Responsibilities: 1. Service Architecture & Design Define and implement service architecture for integrated services. Establish ITIL-aligned processes (Incident, Problem, Change, Release, Configuration, Request Fulfilment) using client standard ITIL documentation adapted for Deeams requirements. Design ticket flows across suppliers and ensure integration with ITSM tools (e.g., ServiceNow). Set up end-to-end SLAs and OLAs, including reporting dashboards for performance tracking. 2. Service Transition Lead onboarding of new environments into support, including operational readiness checks, runbook creation, and supplier alignment workshops. Coordinate testing and acceptance for new or changed services. 3. Governance & Reporting Operate SIAM governance framework: Monthly service reviews with suppliers. SLA/KPI reporting and trend analysis. Risk and compliance audits. Maintain escalation paths and RACI matrices. 4. Continual Service Improvement (CSIP) Develop CSIP plans to optimise processes, improve SLA adherence, and enhance customer experience. Drive automation and efficiency improvements across ITSM workflows. 5. Stakeholder & Supplier Management Act as the central point of contact for service integration issues. Provide clear reporting to senior leadership on service health and improvement initiatives. Required Skills: Strong experience in SIAM and multi-supplier environments. Expertise in ITIL v4 and ITSM platforms (ServiceNow preferred). Proven ability to design service architecture, ticket flows, and SLA frameworks. Excellent governance, reporting, and stakeholder management skills. Desirable: Cloud infrastructure knowledge (AWS, OpenShift). Familiarity with secure/government environments. Experience in contract and commercial management Fully Remote Inside IR35 January/February Start Date Please send me your CV if you're interested

Job Title: SIAM Service Manager Role Purpose: Design and implement a robust service architecture across a multi-supplier , ensuring seamless integration of ITIL processes, ticket flows, and end-to-end SLAs. This role drives governance, service transition, and continual improvement while maintaining operational excellence. The support scope will cover L3 and L4 resolver groups. L1 and L2 are out of scope. This role will develop architecture for L3 and L4 and define alignment with L1 and L2 managed by MoD. ITSM tool configuration is out of scope for the client SIAM will be owned by the client, and this role will operate within that framework. Key Responsibilities: 1. Service Architecture & Design Define and implement service architecture for integrated services. Establish ITIL-aligned processes (Incident, Problem, Change, Release, Configuration, Request Fulfilment) using IBM standard ITIL documentation adapted for Deeams requirements. Design ticket flows across suppliers and ensure integration with ITSM tools (e.g., ServiceNow). Set up end-to-end SLAs and OLAs, including reporting dashboards for performance tracking. 2. Service Transition Lead onboarding of new environments into support, including operational readiness checks, runbook creation, and supplier alignment workshops. Coordinate testing and acceptance for new or changed services. 3. Governance & Reporting Operate SIAM governance framework: Monthly service reviews with suppliers. SLA/KPI reporting and trend analysis. Risk and compliance audits. Maintain escalation paths and RACI matrices. 4. Continual Service Improvement (CSIP) Develop CSIP plans to optimise processes, improve SLA adherence, and enhance customer experience. Drive automation and efficiency improvements across ITSM workflows. 5. Stakeholder & Supplier Management Act as the central point of contact for service integration issues. Facilitate collaboration between Nordcloud, SixWorks, Cohesive, IBM, and internal teams. Provide clear reporting to senior leadership on service health and improvement initiatives. Required Skills: Strong experience in SIAM and multi-supplier environments. Expertise in ITIL v4 and ITSM platforms (ServiceNow preferred). Proven ability to design service architecture, ticket flows, and SLA frameworks. Excellent governance, reporting, and stakeholder management skills. Desirable: Cloud infrastructure knowledge (AWS, OpenShift). Familiarity with secure/government environments. Experience in contract and commercial management Please send me your CV if you're interested