475 jobs found

We are currently working with a Cambridge-based technology company that is looking to add an experienced IT Infrastructure Engineer to their team on a full-time, permanent basis. Key responsibilities will include: Act as the main point of contact for 1st / 2nd line support issues. Oversee and develop the companies existing infrastructure. Management of networks and cloud-based infrastructure Support with security and compliance policies. Assist with ranging IT projects including new tools and system implemenations. Help with managing suppliers and equipment procurement. The Successful candidate will have: 3+ years experience in a similar role supporting cloud-based infrastructure position. Experience inece with RedHat, Linux and windows systems. Degree qualified in Engineer/Physical Science or similar field. Strong attention to detail. Experience with supporting on security best practises. Strong understanding of VPNs, Ipv4 and DNS. Experience acting as main point of contact for 1st and 2nd line issues. If this role looks like your next challenge, please contact Ben ASAP or apply via this advert! We endeavour to reply to every candidate, every time but if you haven't heard back within 10 days, please understand that you have unfortunately been unsuccessful for this position, or the position has been filled. Please call the office or send an email to discuss other potential positions.

Job Title: Solutions Architect Salary: £80,000 - £103,000 DOE + Benefits + Hybrid Working Location: London Job description We are currently looking for Solution Architects to join our collaborative team, driving business transformations through strategic insights to enable lasting change through pragmatic use of technology. Contribute to innovation and a mission for a more positive human future in a tech-driven world. Work with our clients to design and deliver their most complex business and technical solutions. Working through the full delivery lifecycle, our Solution Architects bring a hands-on, delivery focus across all domains and leading technologies to our clients. Qualifications As a Solution Architect and technology leader in our Digital & Data team, you will: Work directly with client colleagues to define robust technology solutions based upon our clients' needs. Sometimes you'll even need to help our clients understand what those needs are as they start their digital transformation journey. Many of our clients are FTSE 100 companies, large government departments or critical national infrastructure providers and you can expect to get involved in projects that have genuine impact from day 1. Own, create and assure key architecture artefacts such as: Key Design Decision, Technical Options Paper, High Level Design, Low Level Design, Reference Architecture and Roadmap. To do this, you'll need to deploy a range of consulting and stakeholder management skills to inform, engage and influence colleagues and decision makers from across our client's businesses. Support our client's senior leaders to help shape their case for change, typically leading on cost estimation and supporting creation of detailed planning and benefits realisation for the technology solutions you design. Work closely with Engineering teams, often taking a lead SME role helping to define the vision, establish Architectural Guardrails, Architecture Runways and Detailed Designs as well as unblocking the team as issues arise. Whilst operating as a Solution Architect, you will likely come from a hands-on Software Engineering background with experience leading engineering teams to deliver applications and services, enabling you to quickly build credibility. Rapidly understand and effectively communicate complex technical ideas to board-level business leaders and their teams. You'll use your technical writing and presentation skills to do this supported by productivity tools such as: PowerPoint, Word, Visio Be confident using your architecture skills and experience across the full range of architectural domains, with a specialism in at least one: Business, Data, Application, Technology and Security Bring to bear a clear understanding and practical application of architecture and delivery methodologies such as: TOGAF, Zachmann, MODAF or SAFe Use your understanding and application of architecture modelling tools and frameworks to communicate your ideas: UML, ArchiMate, Ardoq, and others. Design and deliver architecture solutions within governance and target operating models, using a range of ways of working and delivery methodologies: Waterfall, SAFe, Scrum, Kanban Commit yourself to continuous improvement and professional development. Everyone's experience is different so we're not prescriptive about this. Certifications in appropriate methodologies and cloud technologies are advantageous: AWS, Azure, GCP, TOGAF, SAFe Thrive in a trust-based, inclusive environment that values excellence, innovation and curiosity. To support you, we'll provide a number of career accelerators including training opportunities - both business and technical, focused mentoring and the variety of engagements needed to really invest in your consulting skills and take your work to the next level! You are required to be able to work in the UK full time without restriction and be eligible for SC Clearance. If you feel you have the relevant skills and experience required for this role, then please apply to Evolve Recruitment, Kingston upon Thames for more information. Due to the high volume of applications we receive it is not always possible to respond to unsuccessful applicants. Therefore, if we have not responded to your application within five days please assume that on this occasion your application has not been successful.

SOFTWARE ENGINEER £45,000 - £60,000 + BONUS Remote (Uk based) This is an exciting opportunity to join a high-growth data and machine learning company that predicts KPIs for major brands and provides market-moving insights to investors. You'll take ownership of critical engineering systems that power daily KPI forecasts. THE COMPANY: You'll join the AI & DataOps team, a cross-functional engineering group working across software engineering, data engineering, and applied machine learning. With strong commercial growth and continued expansion, they are now hiring a Software Engineer to take ownership of their AWS infrastructure. THE ROLE: Key responsibilities include: Owning and maintaining AWS infrastructure (Lambda, Step Functions, DynamoDB, S3). Building and enhancing internal Python libraries (API design, releases, versioning). Managing trackers, Lambdas, Step Functions, DynamoDB tables, and API integrations (including Slack-based pipelines). Operating across the full engineering lifecycle, from design through to production deployment. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Python AWS services including Lambda, Step Functions, S3, DynamoDB, EC2/ECS. Infrastructure-as-code (Terraform or CloudFormation). CI/CD, testing, and software engineering best practices. THE BENEFITS: You will receive a salary of £45,000 - £60,000 depending on experience, plus a performance-based bonus and strong opportunities for technical ownership and growth. HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Cloud Product Security Engineers (Multiple Levels) - MUST BE BASED IN NORTHERN IRELAND Full-Time PermanentHybrid Working£35,000 - £61,000 DOEMCS Group is delighted to be partnering with a global technology-driven organisation to recruit multiple Cloud Product Security Engineers across mid to senior levels.This is an opportunity to join a highly engineering-focused security team building enterprise-scale cloud security capabilities directly into modern platforms, infrastructure, and developer workflows.If you're looking for a role where you can combine software engineering, cloud engineering, and security engineering, this is one of the strongest opportunities currently available in the local market.The RoleMy client is looking for hands-on engineers who want to build and operate cloud-native security capabilities rather than work in traditional compliance or governance-heavy security environments.You'll design, develop, and maintain security controls integrated directly into cloud platforms, CI/CD pipelines, enterprise services, and modern application environments. The team operates with a strong product engineering mindset, owning solutions end-to-end from design through deployment and operational support.This role offers exposure to large-scale cloud environments, modern DevOps practices, and highly collaborative engineering teams.Key ResponsibilitiesCloud Security EngineeringDesign, build, and operate cloud-native security controls across AWS and/or Azure environmentsDevelop preventative, detective, and responsive security capabilities for cloud-hosted workloadsEngineer and maintain CSPM and DLP capabilities across enterprise cloud platformsIntegrate security controls into CI/CD pipelines and shared enterprise servicesDetection, Automation & ResponseBuild detection logic, automation, and response mechanisms to improve security operationsIntegrate cloud security tooling with SIEM and monitoring platformsSupport incident response activities through improved detections and recovery mechanismsContribute to post-incident improvements and continuous optimisation of controlsModern Engineering PracticesApply Infrastructure as Code, CI/CD, and automated testing practices across security solutionsDevelop scalable, reliable, production-grade software and cloud servicesCollaborate closely with platform engineers, developers, and product teamsSupport continuous improvement across cloud security engineering practicesAbout YouEssentialExperience in software engineering, cloud engineering, or security engineering environmentsStrong programming skills in at least one modern language such as Python, Java, or JavaScriptHands-on experience with AWS and/or AzureUnderstanding of cloud-native architectures and modern engineering practicesExperience building or supporting cloud security controls and automationFamiliarity with CI/CD, Infrastructure as Code, and cloud automation toolingDesirableExperience with CSPM, DLP, SIEM, or cloud security toolingExposure to detection engineering, incident response, or security automationUnderstanding of secure cloud design principles and distributed systemsExperience with policy-as-code, drift detection, or automated remediationBackground in large-scale enterprise or regulated environmentsWhat's on OfferSalary ranging from £35,000 - £61,000 depending on experience and levelHybrid working with strong flexibilityOpportunity to work on genuinely modern cloud and security engineering challengesStrong technical culture with an engineering-first mindsetExposure to enterprise-scale cloud environments and modern DevOps practicesClear progression opportunities into senior technical leadership or specialist engineering pathways To speak in absolute confidence about this opportunity please send an up-to-date CV via the link provided or contact Senior Recruitment Consultant Stuart Kennedy at MCS Group on or . Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current jobs.

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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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.

Senior Data Engineer £70,000-£90,000 Manchester (Hybrid) This is an exciting opportunity to join a growing tech scale-up where data is at the heart of their product. You will play a key role in shaping their data infrastructure, enabling large-scale machine learning and real-time analytics that directly impact their customers. THE COMPANY They are a high-growth SaaS organisation operating in the digital advertising space. Their platform helps customers optimise performance through advanced analytics, real-time behavioural insights and machine learning. With a collaborative engineering culture and strong investment backing, they are building scalable data systems to support rapid product expansion. THE ROLE As a Data Engineer you will take ownership of the company's core data pipelines, transforming large-scale event data into reliable, ML-ready datasets that power real-time decisioning and analytics across the business. Specifically, you can expect to be involved in the following: Design and manage data ingestion pipelines that feed into their cloud data warehouse. Build and maintain pipelines that prepare data for machine learning and analytics use cases. Restructure/improve existing datasets to ensure they are reliable, performant and ML-ready. Work closely with Data Science and Platform Engineering to productionise models and improve data foundations. Proven ability to work with high-volume event data at scale. SKILLS AND EXPERIENCE The successful Data Engineer will have the following skills and experience: Strong commercial experience in Python, SQL and cloud-based data engineering. Hands-on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis. Understanding of streaming data, system performance and cost-efficient architecture. A proactive mindset with the confidence to identify and solve problems independently. BENEFITS The successful Data Engineer will receive the following benefits: Salary between £70,000 - £90,000 - depending on experience. Competitive benefits. HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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.

The OpportunityWe are working with a large public sector organisation in the North East to recruit a Senior Cyber Security Engineer into a small but growing cyber security team. This is a hands-on technical role, created to strengthen engineering capability, reduce single-person dependency and support a significant programme of security improvement across the organisation.This role is ideal for a practitioner who enjoys configuring, building and improving security controls, rather than a purely analytical or governance-led position.They operate a hybrid working pattern where you would be expected to be in the office 3 days a week. Our client doesn't sponsor visas so candidates will require a permanent right to work in the UK.The RoleReporting into the Cyber Security Manager, you will play a key role in the day-to-day engineering and ongoing development of the organisation's cyber security controls. The focus is firmly on technical delivery, working closely with infrastructure, networking and a managed SOC provider.Key areas of responsibility include: Engineering, configuration and ongoing management of a large firewall estate Working extensively with next-generation firewalls Firewall policies, VPN configuration and firewall lifecycle management Technical implementation and configuration of Microsoft 365 E5 security tooling, including: Microsoft Defender (endpoint, identity, cloud) DLP and Purview policy implementation Acting as the internal engineering counterpart to a managed SOC provider Supporting vulnerability management by consolidating findings, engaging technical teams and driving remediation activity Contributing to future security initiatives, including Privileged Access Management (PAM) and improvements to secure SDLC practices The PersonWith proven hands-on experience in cyber security engineering from a either a purely or predominantly cyber security focussed role, you will possess: Good firewall experience Solid understanding of networking fundamentals (TCP/IP, firewall policies, VPNs) Experience configuring and working directly with security tooling in live environments Cloud security (Microsoft 365, Azure, AWS) Strong technical exposure to security tooling, such as: SIEM/SOAR, EDR/XDR, vulnerability scanners, patch management, CASB, DLP Desirable experience: Microsoft Defender, Purview and M365 E5 security capabilities Privileged Access Management (PAM) tooling Background in infrastructure or networking prior to moving into security Exposure to secure software development lifecycle (SDLC) practices

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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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.

Senior engineering manager - Hybrid role in Data & Digital Platforms - £110k A large, globally distributed organisation is looking for a Senior Engineering Manager to lead multiple data and digital engineering teams responsible for delivering critical platforms and products across the business. This is a senior leadership position, centred around delivery outcomes, operational excellence and people leadership, rather than hands-on development. You will define and uphold engineering standards, enable consistent and predictable delivery, develop and mature engineering capability, and lead both internal and vendor teams across a modern Microsoft and cloud technology environment. Key Responsibilities: Lead globally distributed engineering teams across data platforms and low-code tools. Create delivery rhythms, sprint discipline and engineering standards. Develop leads by coaching, feedback and capability uplift. Oversee vendor delivery, ensuring quality, value and alignment to standards. Support delivery across platforms including cloud data, workflow and collaboration tools. Skills & Experience: Extensive experience leading multi-disciplinary engineering teams. Proven delivery leadership across multiple squads in complex environments. Strong understanding of modern data and platform ecosystems. Ability to build, scale and mature high-performing engineering functions. IT Infrastructure: Cloud data platforms (e.g. Databricks, Azure) DevOps Agile delivery tooling What they offer: Competitive bonus Private medical cover and high-end wellbeing support Flexible working approach Significant scope to shape engineering platforms

Principal Site Reliability Engineer x5 (SC Cleared) South England - hybrid working - 70,000 - 90,000 + perm benefits We are seeking experienced Principal Site Reliability Engineers (SRE) to join a high-performing engineering team delivering resilient, cloud-native platforms for UK-based customers. These roles blend senior technical leadership with hands-on delivery, covering both project-based work and the ongoing reliability, scalability, and security of critical services. You'll work closely with other senior engineers in small, collaborative teams, taking ownership of platform reliability, setting best practices, and mentoring others. The role supports critical national infrastructure, requires participation in an on-call rota, and operates within a hybrid working model across UK offices, client sites, and home. Key responsibilities Design, build, and maintain highly available, scalable, and resilient platforms, prioritising standardisation, reuse, and automation Champion GitOps-first approaches, minimising manual configuration ("ClickOps") Lead and contribute to Site Reliability Engineering practices, including error budgets, SLOs, SLIs, and incident management Work in agile delivery teams, aligning engineering outcomes to customer and service reliability goals Operate within defined on-call rotas, supporting services underpinning critical national infrastructure Provide technical leadership and mentorship, developing the capability of engineers across teams Promote and embed best practices in reliability, security, observability, and automation Contribute to the evolution of cloud-native and SRE standards, patterns, and platform strategies Skills and experience Proven leadership experience in Site Reliability Engineering or senior platform engineering roles Strong expertise in Kubernetes and OpenShift (CKA/CKS certifications beneficial) Experience designing complex multi-cloud or hybrid architectures Hands-on knowledge of service mesh technologies such as Istio Experience with enterprise-grade databases, including EDB Postgres Deep understanding of observability and monitoring stacks, such as Prometheus, Grafana, Loki, Tempo, and LogiStack Strong Infrastructure as Code experience using tools such as Helm or Kustomize Proficiency in scripting and automation, including Bash and Python CI/CD and GitOps pipeline management using tools such as ArgoCD, FluxCD, or Tekton Experience with Red Hat ACM/ACS and advanced container networking (e.g. Submariner) A strong focus on reliability, automation, and operational excellence

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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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.

Cloud Platform Lead London Hybrid (3 days in the office) Permanent Build the cloud platform that others depend on. We're partnered with a high-performing, London-based Insurer operating at scale in a highly regulated environment. The organisation is investing heavily in its cloud capability and is now hiring a Cloud Platform Engineering Lead to take full ownership of its cloud platform and shape how cloud is delivered across the business. This is a true platform engineering leadership role - not just keeping the lights on, but designing, evolving and running a secure, scalable cloud platform treated as a product. Why this role stands out Real ownership - end-to-end responsibility for the cloud platform Hands-on leadership - stay technical while setting standards and direction Engineering-led culture - platform as a product, not a utility Modern cloud estate - Azure-first (with some AWS), IaC, CI/CD, automation Strategic visibility - work closely with Architecture, Security and senior IT leadership Influence without bureaucracy - small internal team, clear decision-making You'll act as the technical authority for cloud, owning standards, guardrails and outcomes, while steering a trusted cloud services partner to deliver high-quality BAU and project work. What you'll be doing Owning the cloud platform architecture (Azure-first, AWS exposure) Designing and evolving shared platform services: Landing zones Networking & identity Security controls & guardrails Observability, backup & DR Treating cloud as a product with roadmaps, standards and continuous improvement Remaining hands-on with: Terraform & Infrastructure-as-Code CI/CD pipelines and automation Reusable modules and engineering patterns Embedding security-by-design (NIST, ISO, GDPR principles) Acting as a senior escalation point for incidents and outages Leading FinOps practices - cost control, optimisation and transparency Managing and directing a UK-based cloud services partner from a position of strong technical ownership What we're looking for 8+ years' experience designing and operating cloud platforms (Azure essential) Strong background in platform engineering , not just infrastructure operations Proven expertise with Terraform and lifecycle management of IaC Deep understanding of: Cloud security, networking and identity CI/CD and DevOps practices Containers and modern deployment patterns High availability, backup and disaster recovery Cloud cost optimisation / FinOps Experience working in regulated or security-sensitive environments Confident communicator able to influence engineers, architects, partners and stakeholders Experience in insurance or financial services is helpful but not essential - strong cloud engineering capability and leadership matter most.You'll be part of a lean, senior team , working alongside the Architecture Team (EA and Domain), with additional 3rd Party partner support. This gives you space to focus on quality, standards and strategic improvements , not firefighting.If you're looking for a hands-on cloud leadership role where your decisions genuinely shape the platform and the engineering culture, this is one worth exploring. Confidential discussions welcome.

An exciting technology-led organisation in London is looking for a Lead Data Engineer to join their growing platform team as they continue to build out their data and analytics capability. Based in: London Hybrid working: 1-2 days a week in the office Permanent role Start date: ASAP Salary: Up to £75k per annum The Job As the Lead Data Engineer , your responsibilities will include: Leading the design and delivery of a modern cloud data platform supporting analytics, AI and client-facing data products Owning data pipeline architecture across ingestion, transformation and data product layers Setting and maintaining data engineering standards, patterns and best practices across squads Mentoring and leading a small team of Data Engineers and working closely with Analytics Engineers and Data Scientists Remaining hands-on with complex technical delivery, architecture decisions and code reviews Defining CI/CD, testing, observability and infrastructure-as-code standards for data pipelines Ensuring strong data governance, security controls and compliance across all datasets Partnering with Product and commercial teams on data initiatives and client data onboarding Supporting analytics, BI and AI/ML use cases with well-structured, documented and reliable data models You 5+ years' experience in data engineering or data platform roles Strong hands-on experience with SQL, Python and distributed data processing Proven experience building and operating modern cloud data platforms Experience with technologies such as Snowflake, Databricks and Power BI Strong understanding of CI/CD, infrastructure-as-code and data quality practices Solid knowledge of data security, access controls and governance Comfortable operating as a hands-on technical leader , mentoring others and influencing standards Strong stakeholder communication skills Apply Now You can apply for the Lead Data Engineer position now by sending us your CV or by calling us today. Don't forget to register as a candidate too. Amy Brown Principal Managing Consultant Sphere Digital Recruitment currently has a variety of job opportunities across digital, so feel free to get in touch to find out how we can help you. Please take a look at our website. Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law. Sphere Digital Recruitment currently have a variety of job opportunities across digital so feel free to get in touch with us to find out how we can help you. Please take a look at our website. Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law. If you require any adjustments or additional support during the recruitment process for any reason whatsoever, please let us know.

Senior GCP VDC Network Engineer Salary: up to £90,000 + Bonus + Benefits Location: Manchester - 2/3 days onsite Working Hours: 40 hours per week A globally established organisation is seeking a Senior GCP VDC Network Engineer to join a Public Cloud Platform function, driving scalable, secure and compliant Google Cloud networking solutions across enterprise environments. This is a senior, hands-on engineering role focused on designing and modernising cloud network services while enabling rapid, seamless cloud adoption. The for the Senior GCP VDC Network Engineer position is suited to an experienced GCP networking specialist who combines deep technical capability with strong collaboration skills, enjoys working in cross-functional feature teams and can lead technical growth within engineering environments. Responsibilities for the Senior GCP VDC Network Engineer: Design, implement and manage GCP Virtual Data Centre network architecture for enterprise workloads Configure and maintain VPCs, subnets, firewalls, routing and peering for secure and scalable connectivity Implement hybrid connectivity solutions including Cloud VPN and Interconnect for on-premise and multi-cloud integration Develop and manage Infrastructure as Code for network resources using Terraform and Terraform Cloud Automate network provisioning and configuration workflows using Python Enforce GCP organisation policies covering network security, encryption and access control Integrate network deployments into CI/CD pipelines to enable automated provisioning and updates Implement policy-as-code guardrails for network governance Optimise network performance, reliability and resilience through monitoring and proactive tuning Collaborate with security teams to implement best practice network controls Support migration of legacy network configurations into unified, reusable templates Troubleshoot and resolve complex networking issues across GCP VDC environments Provide technical leadership and mentoring to engineers within the team Essential Skills for the Senior GCP VDC Network Engineer: Strong hands-on experience with GCP networking including VPCs, subnets, firewalls, routing and peering Proven experience delivering hybrid connectivity using Cloud VPN and Interconnect Strong Infrastructure as Code expertise using Terraform and Terraform Cloud Python scripting for automation and tooling Experience integrating network automation into CI/CD pipelines Knowledge of GCP organisation policies and policy-as-code frameworks GCP certification, ideally Professional Cloud Network Engineer Desirable Skills for the Senior GCP VDC Network Engineer: Experience with enterprise cloud engineering platforms Strong stakeholder engagement and communication capability Experience operating as a senior SME within cloud engineering teams If you are an experienced GCP Network Engineer with strong cloud architecture and automation expertise, looking to lead scalable enterprise cloud networking initiatives, please apply in the immediate instance.

We're looking for an Lead Infrastructure & Security Engineer to act as a Senior within a growing, evolving technology estate at a pivotal point in its journey. This is a role with real substance. The foundations are in place, but there's a clear opportunity to shape, mature and lead across infrastructure, cloud, security, and supplier management. The Opportunity You'll be stepping into an established team to provide technical guidance whilst remaining hands on yourself. Alongside leading a small team of engineers, you'll play a key role in: Strengthening security practices and making better use of existing tooling Bringing structure to infrastructure and cloud operations Improving resilience, documentation, and disaster recovery capability Working with the Head of Operations to take back control from suppliers and ensuring quality service and better value for money Contributing to cloud and platform strategy (Azure-focused) The environment has a need for someone who can simplify, stabilise, and modernise. What You'll Be Doing Leading day-to-day infrastructure and platform operations (Azure, M365) Supporting the development of a team of 3 engineers - bringing structure, coaching, and accountability Owning operational security (patching, vulnerabilities, access controls, audits) Driving improvements in monitoring, backup, and disaster recovery Working closely with suppliers Supporting cloud journey decisions with technical knowledge Bringing greater visibility, documentation, and operational discipline This is a hands-on role, so you'll need to be comfortable being close to the tech while also stepping up as a Senior member of the team. What We're Looking For Strong infrastructure background with exposure to Azure and Microsoft stack Experience coaching or mentoring engineers in a hands-on environment Someone confident enough to challenge, but pragmatic in approach A people-focused leader who can bring a team with them Solid understanding of security fundamentals in an operational setting Experience working in multi-site environments Exposure to Azure services Logic Apps / Data Factory, or low/no-code tooling This role is part of an on-call rota which is currently 1 in 10 for P1 incidents This rota may be subject to change frequency given seniority. Permanent position Coventry based office Hybrid working - 2 days office, 3 days remote Salary £55,000 - £60,000 28 days holidays + Bank Holidays, holiday buy/sell scheme, company pension scheme, cycle to work scheme, death in service, employee assistance programme, occupational health provider service. We are an equal opportunity recruitment company. This means we welcome applications from all suitably qualified people regardless of race, sex, disability, religion, sexual orientation or age. We are particularly invested in Neurodiversity inclusion and offer reasonable adjustments in the interview process. Reasonable adjustments are changes that we can make in the interview process if your disability puts you at a disadvantage compared with others who are not disabled. If you would benefit from a reasonable adjustment in your interview process, please call or email one of our recruiters.

Senior Kotlin Engineer Ncounter is supporting a leading organisation within the publishing and media space as they look to strengthen their backend engineering capability. This team is responsible for building and evolving platforms that aggregate, process and distribute large-scale editorial and content datasets, enabling internal teams and external partners to access high-quality, structured information in near real time. You will join a highly capable engineering function focused on delivering scalable backend services, working across API development and Kotlin-based microservices that power content ingestion, indexing and distribution workflows. The environment is data intensive, with a strong emphasis on performance, reliability and clean service design across a modern cloud architecture. Key requirements: • 3-4 years commercial experience with Kotlin, or strong Java (8/11) with a desire to transition • 7+ years working across JVM-based backend development • Strong experience with Spring Boot and building RESTful or GraphQL services • Solid understanding of relational databases such as PostgreSQL or MySQL • Experience working within BDD or TDD environments, alongside CI/CD tooling such as CircleCI • Exposure to AWS services including Lambda, DynamoDB, SQS, RDS and CloudWatch, alongside infrastructure as code tools such as Terraform • Familiarity with ORM frameworks such as Hibernate or JOOQ This role will see you take ownership of key backend components within a wider content and publishing platform, contributing to the development of new services and improving existing systems that manage complex data pipelines. You will work closely with other engineers, product stakeholders and data specialists to ensure content is processed efficiently and made accessible in a consistent, scalable way. The team places strong value on engineering best practice, collaboration and continuous improvement, offering an environment where you can have a genuine impact on the direction of the platform and the evolution of its architecture. If you are interested in building robust backend systems within a data-driven publishing environment, please get in touch to discuss further.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Elicit business and technical requirements working with the various stakeholders during requirements gathering phase. Author both high level and low-level design documents to support Telco services including presenting such designs for internal technical and stakeholder sign off. Perform audit, analysis and propose solutions for migrating from one platform or design to another, providing support for testing and fulfilment teams. Own software/hardware selection, perform bug scrubs and security vulnerability assessments and work with test and implementation engineers to review test plans, defects, test reports, MOP and change tickets. Participate in vendor selection by providing technical requirements into RFP document and by doing technical evaluation including Technical Proof of Concept testing. Steer network elements' feature roadmap by working closely with our strategic technology partners for software release planning, budget submissions and provide inputs for business case preparation. Drive platform improvements, enable automation and implement new solutions that enable DevOps capabilities and support business strategy of building once and deploy multiple time . What you'll bring Requirements-to-Design Translation Proven ability to translate complex business and technical requirements into clear, implementable network designs, explicitly documenting assumptions, constraints, trade-offs, and justifying design decisions against alternatives. High-quality Design Documentation & Technical Authority Strong technical documentation skills, producing high-quality HLDs using Confluence or similar wiki-based tooling, and acting as a technical authority-constructively challenging sub- optimal designs and influencing design decisions. ISP Subscriber & BNG Expertise Deep experience with ISP subscriber technologies including IPoE (DHCPv4/DHCPv6), PPPoE , L2TP, RADIUS, and stateful/stateless BNG redundancy models. Core IP/MPLS & VPN Architecture Design Deep understanding of telco network architectures with proven experience designing IP/MPLS networks using IS-IS, Segment Routing, MP-BGP, LDP, advanced HQoS , and Layer 2/3 VPN technologies including EVPN, T-LDP, VPLS, and IPv6. Automation & Configuration Management Solid understanding of Python, Ansible, and Git-based configuration management, with the ability to design scalable, repeatable automation to support network deployment and change. Telemetry & Operational Assurance Experience defining telemetry requirements and KPIs to support operational assurance, fault investigation, and capacity planning across metro and core networks. Packet-level Network Behaviour Strong understanding of packet-level behaviour, including TCP/UDP, MTU and PMTUD, and encapsulation/overhead impacts across access and core networks; able to interpret relevant standards (e.g. RFCs) and validate behaviour through packet-level inspection. End-to-End Technical Ownership Ability to own technical solutions end-to-end, including software/hardware selection, bug scrubs, security vulnerability assessment, and collaboration with test and implementation teams on test plans, defects, test reports, MOPs, and change tickets. Good to have skills Practical experience with OpenConfig and vendor - specific NETCONF/YANG, including JSON/XML payloads. Strong understanding of IPv4aaS , particularly MAP-T . Strong understanding of BNG from Nokia (7750) and/or Huawei (CX600/NE8000) . Good understanding of Cisco IOS-XR product line such as 8000, ASR9 K and NCS5K . Experience contributing to and/or owning network standards . Team overview Group Communications & Infrastructure Looking to be part of non-stop innovation? Join our Group Communications and Infrastructure team and you'll work alongside experts in broadband, telephony, mobile, cloud and infrastructure. We're the team that designs, builds, supports and maintains the telecoms networks across the whole Sky Group. Together, we help Sky broadband, mobile and TV enter new markets by creating a single and secure infrastructure for the amazing content and services that keep our customers coming back for more. 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 : Brick Lane 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.