Foreign, Commonwealth & Development Office
London, UK
Reference number: 431765
Salary: £57,500– £62,500
Total Package: Grade 7
Contract: Permanent
Location: London/Milton Keynes/East Kilbride
We lead the UK’s diplomatic, development and consular work around the world. We employ around 17,000 staff in our global network of 281 offices worldwide. Our UK-based staff work in King Charles Street in London, Abercrombie House in East Kilbride and in Milton Keynes.
Your role with us
The Information and Digital Directorate is responsible for delivering our ambition to make the FCDO the world’s most technologically integrated and innovative foreign ministry. This means harnessing digital, data, technology, IT security and information management to deliver our diplomatic, development and consular aims, all while keeping our people and information safe, especially from hostile actors.
When you join us in this significant role, you’ll lead our dynamic Service Centre teams and work to ensure that all service and support functions are responsive to the needs of our end users, technical changes are well managed and communicated, and problems are resolved at root cause. Focused on championing knowledge management, continuous improvement and operational excellence, and enabling our organisation’s global work through reliable, innovative IT services, you’ll also play a key role in shaping the culture and capability of the Service Centre.
Committed to providing effective line management and championing diversity and inclusion, you’ll foster an environment where learning and professional growth are actively encouraged. You’ll hold overall responsibility for ten teams across our offices in London, East Kilbride and Milton Keynes, and by managing resources, prioritising capacity and leading recruitment, you’ll ensure they’re equipped to meet evolving organisational needs.
Who we’re looking for
To be a success in this vital role you should hold an ITIL Service Management qualification at Foundation level, possess strong technical skills, and have a track record of leading operational Service Desk functions. It’s important that you can demonstrate a number of skills at the role level of Senior IT Service Management – these should include Service Management Framework Knowledge (Practitioner Level), User Focus (Expert Level), Service Focus (Practitioner Level) and Strategic Thinking (Practitioner Level).
When you join us you’ll enjoy access to a wide range of professional development opportunities, including Civil Service training and qualifications such as Information, Technology Infrastructure Library, Strategic Decision Making and Leadership skills. So if you’re excited by the idea of leading change, influencing service strategy and delivering value at scale, this is your opportunity to make a real impact and lead from the front.
If you’re successful you’ll be expected to travel to FCDO offices across the UK on a monthly basis and international travel may also be involved. Please be aware that you must be a British Citizen at the time of application and be required to attain Developed Vetting (DV) security clearance. For more information about this process, click here .
We value diversity and inclusion and actively encourage and welcome applications from all communities. Everyone here gets the support to develop their skills and capabilities as well as benefits that help to make the most of life in and out of work, including a Civil Service pension.
Use your talent and experience to shape our nation’s future, and deliver tangible improvements to millions of lives, including your own.
Apply before 11:55 pm on Monday 2nd March 2026.
06/02/2026
Full time
Reference number: 431765
Salary: £57,500– £62,500
Total Package: Grade 7
Contract: Permanent
Location: London/Milton Keynes/East Kilbride
We lead the UK’s diplomatic, development and consular work around the world. We employ around 17,000 staff in our global network of 281 offices worldwide. Our UK-based staff work in King Charles Street in London, Abercrombie House in East Kilbride and in Milton Keynes.
Your role with us
The Information and Digital Directorate is responsible for delivering our ambition to make the FCDO the world’s most technologically integrated and innovative foreign ministry. This means harnessing digital, data, technology, IT security and information management to deliver our diplomatic, development and consular aims, all while keeping our people and information safe, especially from hostile actors.
When you join us in this significant role, you’ll lead our dynamic Service Centre teams and work to ensure that all service and support functions are responsive to the needs of our end users, technical changes are well managed and communicated, and problems are resolved at root cause. Focused on championing knowledge management, continuous improvement and operational excellence, and enabling our organisation’s global work through reliable, innovative IT services, you’ll also play a key role in shaping the culture and capability of the Service Centre.
Committed to providing effective line management and championing diversity and inclusion, you’ll foster an environment where learning and professional growth are actively encouraged. You’ll hold overall responsibility for ten teams across our offices in London, East Kilbride and Milton Keynes, and by managing resources, prioritising capacity and leading recruitment, you’ll ensure they’re equipped to meet evolving organisational needs.
Who we’re looking for
To be a success in this vital role you should hold an ITIL Service Management qualification at Foundation level, possess strong technical skills, and have a track record of leading operational Service Desk functions. It’s important that you can demonstrate a number of skills at the role level of Senior IT Service Management – these should include Service Management Framework Knowledge (Practitioner Level), User Focus (Expert Level), Service Focus (Practitioner Level) and Strategic Thinking (Practitioner Level).
When you join us you’ll enjoy access to a wide range of professional development opportunities, including Civil Service training and qualifications such as Information, Technology Infrastructure Library, Strategic Decision Making and Leadership skills. So if you’re excited by the idea of leading change, influencing service strategy and delivering value at scale, this is your opportunity to make a real impact and lead from the front.
If you’re successful you’ll be expected to travel to FCDO offices across the UK on a monthly basis and international travel may also be involved. Please be aware that you must be a British Citizen at the time of application and be required to attain Developed Vetting (DV) security clearance. For more information about this process, click here .
We value diversity and inclusion and actively encourage and welcome applications from all communities. Everyone here gets the support to develop their skills and capabilities as well as benefits that help to make the most of life in and out of work, including a Civil Service pension.
Use your talent and experience to shape our nation’s future, and deliver tangible improvements to millions of lives, including your own.
Apply before 11:55 pm on Monday 2nd March 2026.
College of Medical, Veterinary and Life Sciences
School of Psychology & Neuroscience
IT Infrastructure Manager
Vacancy Ref: 158172
Salary: Grade 8 £49,320 - £56,921 per annum
This post is full time and open ended (permanent). Relocation assistance will be provided where appropriate.
The University of Glasgow is seeking to appoint a talented and highly motivated IT Infrastructure Manager.
Reporting to the Computing Support Manager, the post holder will take a leading role in managing and maintaining the school’s IT Infrastructure, which is essential for the research, teaching and professional services of Psychology and Neuroscience. Your primary responsibility will be to collaborate with the Computing Support Manager, to manage and maintain the specialised core IT infrastructure, as well as provide user support and system development.
The post holder will work closely with the Computing Support Manager to ensure that infrastructure investments align with departmental needs and strategic priorities, optimizing resource allocation and financial planning. In addition, the successful candidate will be required to oversee the management and development of support staff, fostering a culture of excellence through the implementation of best practices, strategic talent development initiatives, and the execution of annual performance reviews.
For more information about the infrastructure and the scope of the job or for informal enquiries, please contact Raymond Elma, Raymond.Elma@glasgow.ac.uk
Job Purpose
Reporting to the Computing Support Manager, you will take a leading role in managing and maintaining the school’s IT Infrastructure, which is essential for the research, teaching and professional services of Psychology and Neuroscience. Your primary responsibility will be to collaborate with the Computing Support Manager, to manage and maintain the specialised core IT infrastructure, as well as provide user support and system development.
Main Duties and Responsibilities
Lead in evaluating and enhancing the effectiveness of the School’s IT Infrastructure, maximising service quality, efficiency and continuity.
Lead the management of infrastructure, data centres and server hardware across the product lifecycle.
Provide and manage core Linux and Microsoft Windows systems to ensure vital DNS, directory, desktop, and storage services remain available, secure and patched.
Lead the management of web services and Content Management Systems running Apache, PHP, Tomcat, MySQL/MariaDB, Python.
"Investigate new and emerging technologies through innovative design of complex systems and usage of specialist IT equipment for use in Psychology and Neuroscience teaching and research, to deliver strategic and operational benefits. Manage the allocated portion of the IT budget, ensuring an effective split between end-user and infrastructure management, and regularly present findings and budget impacts at the board level to align with organizational strategy and support informed decision-making."
Represent Psychology and Neuroscience at Campus and College IT forums, liaising with staff in Computing Service, and providing specialist advice in areas such as security, data storage and governance to enhance the efficiency and effectiveness of IT provision in the University.
"Manage the allocated portion of the IT budget, ensuring an effective split between end-user and infrastructure management. Collaborate with the Computing Support Manager to contribute to the Computing Support Department's budget from an infrastructure perspective, including costing for upgrades, maintenance, and other related expenses. Work closely to ensure that infrastructure investments align with departmental needs and strategic priorities, optimizing resource allocation and financial planning."
Oversee the management and development of support staff, fostering a culture of excellence through the implementation of best practices, strategic talent development initiatives, and the execution of annual performance reviews.
Lead end-to-end project management with a high degree of autonomy, ensuring successful project delivery from inception to completion. Oversee the creation of comprehensive documentation and provide training to colleagues as needed to support project objectives and knowledge transfer
Partner with the University Central IT to design and implement advanced IT security policies, ensuring alignment with institutional standards and enhancing the overall cybersecurity framework
Knowledge, Qualifications, Skills, and Experience Knowledge/Qualifications
Essential:
A1 Scottish Credit and Qualification Framework Level 9 (Ordinary Degree, Scottish Vocational Qualification level 4), or equivalent experience of personal development in a similar role or related role. A2 Ability to undertake the duties associated with this level of post A3 Comprehensive, expert current knowledge of IT standards, systems, and provision to support delivery of research and teaching.
Desirable:
B1 Microsoft Certified: Windows Server Hybrid Administrator Associate certification is highly desirable, with a strong emphasis on proficiency in managing local Active Directory environments.
B2 Proficiency in macOS management with JAMF certification is highly desirable.
B3 Experience of working in a Higher Education environment.
Skills Essential:
C1 Skills in LAMP platforms (Linux, Apache, MySQL, PHP).
C2Extensive experience in Linux/Unix administration, including user management (NIS Domain), monitoring, optimizing system performance, system updates, backups (ZFS) and network storage (NFS).
C2 Skill in managing and maintaining networking services (DNS, DHCP), which includes diagnosing and troubleshooting network problems.
C3 Expertise in Microsoft on prem Active Directory and Window Server 2019 and above.
C4 Ability to take a problem/project from conception to completion, interpreting and integrating technical and user needs appropriately.
C5 Ability to develop innovative solutions and to influence others to adopt them.
C6 Excellent interpersonal and communication (oral and written) skills.
C7 Demonstrable people/time/budget/project management skills of an appropriate level.
C8 Ability to work effectively with a high level of independence but also within a team.
C9 Strong analytical and innovative problem-solving skills.
C10 Ability to multitask successfully in a busy role with competing demands
C11 Ability to work flexibly and adapt to changing environments.
C12 Ability to collaborate with teams within our ogranisation (e.g Information Services Security Team and Network Infrastructure Team)
Desirable:
D1 Understanding of cybersecurity principles to protect data and computational resources. D2 Compliance with data privacy regulations and institutional IT policies. D3 Ability to implement and maintain secure access protocols. D4 Support for software installations, updates, and troubleshooting. D5 Ability to provide technical support to faculty and students. D6 Conducting training sessions on best practices for using the computing grid.
D7 Expertise in managing and maintaining high-performance computing (HPC) systems, Rocks Clusters or similar.
D8 Skills in Enterprise server software and storage technologies such as, Isilon, iDrac, Microsoft failover clusters and VMware VCenter.
F9 Proficiency in virtualisation and containerisation technologies (e.g., Docker, singularity).
Experience
Essential:
E1 Experience in leading a highly specialised infrastructure team.
E2 Substantial experience in server management and systems administration in a heterogeneous environment with a mix of Linux, Unix and MS Windows server technologies providing general services, such as backup, mail, DNS, DHCP, printing and user accounts.
E4 Installation and administration of enterprise level server hardware and software. Including, server management, virtualisation, and storage management.
E5 Significant experience of a higher-level programming or scripting language such as Shell Script, Python or PowerShell.
E6 Experience managing projects in a complex multidisciplinary organisation.
E7 Experience of taking responsibility for actions that can have considerable impact on the user community.
E8 Experience of negotiating with colleagues.
Desirable:
F1 Supporting Research in an academic environment.
F2 Supporting MySQL/MariaDB relational database servers.
F3 Security with network penetration testing, diagnosis, and patching.
F4 Experience of GDPR (General Data Protection Regulation), Caldecott and the processing of personal and medical data.
E5 Knowledge of libraries needed for GPU clusters and distributed computing frameworks
25/11/2024
Full time
College of Medical, Veterinary and Life Sciences
School of Psychology & Neuroscience
IT Infrastructure Manager
Vacancy Ref: 158172
Salary: Grade 8 £49,320 - £56,921 per annum
This post is full time and open ended (permanent). Relocation assistance will be provided where appropriate.
The University of Glasgow is seeking to appoint a talented and highly motivated IT Infrastructure Manager.
Reporting to the Computing Support Manager, the post holder will take a leading role in managing and maintaining the school’s IT Infrastructure, which is essential for the research, teaching and professional services of Psychology and Neuroscience. Your primary responsibility will be to collaborate with the Computing Support Manager, to manage and maintain the specialised core IT infrastructure, as well as provide user support and system development.
The post holder will work closely with the Computing Support Manager to ensure that infrastructure investments align with departmental needs and strategic priorities, optimizing resource allocation and financial planning. In addition, the successful candidate will be required to oversee the management and development of support staff, fostering a culture of excellence through the implementation of best practices, strategic talent development initiatives, and the execution of annual performance reviews.
For more information about the infrastructure and the scope of the job or for informal enquiries, please contact Raymond Elma, Raymond.Elma@glasgow.ac.uk
Job Purpose
Reporting to the Computing Support Manager, you will take a leading role in managing and maintaining the school’s IT Infrastructure, which is essential for the research, teaching and professional services of Psychology and Neuroscience. Your primary responsibility will be to collaborate with the Computing Support Manager, to manage and maintain the specialised core IT infrastructure, as well as provide user support and system development.
Main Duties and Responsibilities
Lead in evaluating and enhancing the effectiveness of the School’s IT Infrastructure, maximising service quality, efficiency and continuity.
Lead the management of infrastructure, data centres and server hardware across the product lifecycle.
Provide and manage core Linux and Microsoft Windows systems to ensure vital DNS, directory, desktop, and storage services remain available, secure and patched.
Lead the management of web services and Content Management Systems running Apache, PHP, Tomcat, MySQL/MariaDB, Python.
"Investigate new and emerging technologies through innovative design of complex systems and usage of specialist IT equipment for use in Psychology and Neuroscience teaching and research, to deliver strategic and operational benefits. Manage the allocated portion of the IT budget, ensuring an effective split between end-user and infrastructure management, and regularly present findings and budget impacts at the board level to align with organizational strategy and support informed decision-making."
Represent Psychology and Neuroscience at Campus and College IT forums, liaising with staff in Computing Service, and providing specialist advice in areas such as security, data storage and governance to enhance the efficiency and effectiveness of IT provision in the University.
"Manage the allocated portion of the IT budget, ensuring an effective split between end-user and infrastructure management. Collaborate with the Computing Support Manager to contribute to the Computing Support Department's budget from an infrastructure perspective, including costing for upgrades, maintenance, and other related expenses. Work closely to ensure that infrastructure investments align with departmental needs and strategic priorities, optimizing resource allocation and financial planning."
Oversee the management and development of support staff, fostering a culture of excellence through the implementation of best practices, strategic talent development initiatives, and the execution of annual performance reviews.
Lead end-to-end project management with a high degree of autonomy, ensuring successful project delivery from inception to completion. Oversee the creation of comprehensive documentation and provide training to colleagues as needed to support project objectives and knowledge transfer
Partner with the University Central IT to design and implement advanced IT security policies, ensuring alignment with institutional standards and enhancing the overall cybersecurity framework
Knowledge, Qualifications, Skills, and Experience Knowledge/Qualifications
Essential:
A1 Scottish Credit and Qualification Framework Level 9 (Ordinary Degree, Scottish Vocational Qualification level 4), or equivalent experience of personal development in a similar role or related role. A2 Ability to undertake the duties associated with this level of post A3 Comprehensive, expert current knowledge of IT standards, systems, and provision to support delivery of research and teaching.
Desirable:
B1 Microsoft Certified: Windows Server Hybrid Administrator Associate certification is highly desirable, with a strong emphasis on proficiency in managing local Active Directory environments.
B2 Proficiency in macOS management with JAMF certification is highly desirable.
B3 Experience of working in a Higher Education environment.
Skills Essential:
C1 Skills in LAMP platforms (Linux, Apache, MySQL, PHP).
C2Extensive experience in Linux/Unix administration, including user management (NIS Domain), monitoring, optimizing system performance, system updates, backups (ZFS) and network storage (NFS).
C2 Skill in managing and maintaining networking services (DNS, DHCP), which includes diagnosing and troubleshooting network problems.
C3 Expertise in Microsoft on prem Active Directory and Window Server 2019 and above.
C4 Ability to take a problem/project from conception to completion, interpreting and integrating technical and user needs appropriately.
C5 Ability to develop innovative solutions and to influence others to adopt them.
C6 Excellent interpersonal and communication (oral and written) skills.
C7 Demonstrable people/time/budget/project management skills of an appropriate level.
C8 Ability to work effectively with a high level of independence but also within a team.
C9 Strong analytical and innovative problem-solving skills.
C10 Ability to multitask successfully in a busy role with competing demands
C11 Ability to work flexibly and adapt to changing environments.
C12 Ability to collaborate with teams within our ogranisation (e.g Information Services Security Team and Network Infrastructure Team)
Desirable:
D1 Understanding of cybersecurity principles to protect data and computational resources. D2 Compliance with data privacy regulations and institutional IT policies. D3 Ability to implement and maintain secure access protocols. D4 Support for software installations, updates, and troubleshooting. D5 Ability to provide technical support to faculty and students. D6 Conducting training sessions on best practices for using the computing grid.
D7 Expertise in managing and maintaining high-performance computing (HPC) systems, Rocks Clusters or similar.
D8 Skills in Enterprise server software and storage technologies such as, Isilon, iDrac, Microsoft failover clusters and VMware VCenter.
F9 Proficiency in virtualisation and containerisation technologies (e.g., Docker, singularity).
Experience
Essential:
E1 Experience in leading a highly specialised infrastructure team.
E2 Substantial experience in server management and systems administration in a heterogeneous environment with a mix of Linux, Unix and MS Windows server technologies providing general services, such as backup, mail, DNS, DHCP, printing and user accounts.
E4 Installation and administration of enterprise level server hardware and software. Including, server management, virtualisation, and storage management.
E5 Significant experience of a higher-level programming or scripting language such as Shell Script, Python or PowerShell.
E6 Experience managing projects in a complex multidisciplinary organisation.
E7 Experience of taking responsibility for actions that can have considerable impact on the user community.
E8 Experience of negotiating with colleagues.
Desirable:
F1 Supporting Research in an academic environment.
F2 Supporting MySQL/MariaDB relational database servers.
F3 Security with network penetration testing, diagnosis, and patching.
F4 Experience of GDPR (General Data Protection Regulation), Caldecott and the processing of personal and medical data.
E5 Knowledge of libraries needed for GPU clusters and distributed computing frameworks
Hartpury University and Collage
Gloucestershire, UK
Service Desk Team Leader
£27,729 - £30,311 per annum
37.5 hours per week
Permanent
About Us
Hartpury University and Hartpury College are among the UK’s leading specialist education providers in agriculture, animal, equine, sport and veterinary nursing. Located in Gloucestershire, Hartpury University and Hartpury College sit side-by-side on a beautiful 360-hectare campus. We provide world-class facilities to more than 4,500 university and college-level students studying undergraduate and postgraduate degrees, A-levels and diplomas, as well as undertaking industry research. The University is rated top 10 in the UK for Teaching Quality ( The Times and Sunday Times Good University Guide 2023 ) and has 97% graduate employability, whilst the College is rated Ofsted Outstanding in all areas. A passionate and innovative business culture and exceptional support networks make Hartpury an ideal career choice.
Hartpury is committed to promoting a diverse and inclusive community – a place where we can all be ourselves. We particularly welcome applicants that we are underrepresented in, including those from ethnically diverse backgrounds, LGBTQI+ communities, and those living with disabilities. As part of our commitment to equality, diversity and inclusion we offer a range of inclusive policies, flexible working arrangements and a multi-faith space to support staff from different backgrounds. To find out more about our commitment to Equality, Diversity and Inclusivity, please click here
About the Role
Lead and manage the IT Service Desk by working in partnership with the academic departments and other services to ensure an excellent level of service is delivered to our students and staff.
Provide hands-on first line support for a range of technologies, including desktop PCs, mobile devices, and cloud solutions.
Drive continual service improvement, develop service desk reporting, and maintain a comprehensive internal knowledge base to meet SLAs.
To solve user problems in an efficient and timely way and to provide technical expertise to support and develop effective and efficient internal processes.
About You
You will have demonstrable experience of providing support across an environment which includes Windows desktops and servers, Office, Active Directory.
Skilled in MS Windows Desktop Support, with a solid understanding of troubleshooting, system support, and network fundamentals.
You will have previously led or played an active role in developing a service desk.
You will have strong organizational skills to manage team schedules and documentation, ensuring efficient onboarding and service consistency.
Experience of developing SLAs and KPIs associated with a Service Desk and call handling.
We offer a fantastic package of staff benefits including:
Hybrid working arrangements with blended approach of office and home working
25 days annual leave entitlement plus bank holidays rising to 30 days with length of service
Wellbeing support including our Employee Assistance Programme
Generous pension scheme (LGPS)
Employee Discounts Scheme
Onsite fitness facilities
Support for continuous professional development
Flexible working opportunities available
Enhanced maternity, adoption and paternity leave
We are committed to safeguarding and promoting the welfare of children and young people and expect all staff and volunteers to share this commitment. We will ensure that all our recruitment and selection practices reflect this commitment. All successful candidates will be subject to Disclosure and Barring Service checks along with other relevant employment checks.
Click the button below to apply online
The closing date for receipt of applications is 30th November 2024.
Interviews will be held on the W/C 9th December 2024
We reserve the right to close this vacancy before the specified closing date should we receive sufficient applications or in order to respond to business needs. In order to avoid missing an opportunity to apply please submit your application as early as possible.
Candidates must be able to demonstrate their eligibility to work in the UK.
22/11/2024
Full time
Service Desk Team Leader
£27,729 - £30,311 per annum
37.5 hours per week
Permanent
About Us
Hartpury University and Hartpury College are among the UK’s leading specialist education providers in agriculture, animal, equine, sport and veterinary nursing. Located in Gloucestershire, Hartpury University and Hartpury College sit side-by-side on a beautiful 360-hectare campus. We provide world-class facilities to more than 4,500 university and college-level students studying undergraduate and postgraduate degrees, A-levels and diplomas, as well as undertaking industry research. The University is rated top 10 in the UK for Teaching Quality ( The Times and Sunday Times Good University Guide 2023 ) and has 97% graduate employability, whilst the College is rated Ofsted Outstanding in all areas. A passionate and innovative business culture and exceptional support networks make Hartpury an ideal career choice.
Hartpury is committed to promoting a diverse and inclusive community – a place where we can all be ourselves. We particularly welcome applicants that we are underrepresented in, including those from ethnically diverse backgrounds, LGBTQI+ communities, and those living with disabilities. As part of our commitment to equality, diversity and inclusion we offer a range of inclusive policies, flexible working arrangements and a multi-faith space to support staff from different backgrounds. To find out more about our commitment to Equality, Diversity and Inclusivity, please click here
About the Role
Lead and manage the IT Service Desk by working in partnership with the academic departments and other services to ensure an excellent level of service is delivered to our students and staff.
Provide hands-on first line support for a range of technologies, including desktop PCs, mobile devices, and cloud solutions.
Drive continual service improvement, develop service desk reporting, and maintain a comprehensive internal knowledge base to meet SLAs.
To solve user problems in an efficient and timely way and to provide technical expertise to support and develop effective and efficient internal processes.
About You
You will have demonstrable experience of providing support across an environment which includes Windows desktops and servers, Office, Active Directory.
Skilled in MS Windows Desktop Support, with a solid understanding of troubleshooting, system support, and network fundamentals.
You will have previously led or played an active role in developing a service desk.
You will have strong organizational skills to manage team schedules and documentation, ensuring efficient onboarding and service consistency.
Experience of developing SLAs and KPIs associated with a Service Desk and call handling.
We offer a fantastic package of staff benefits including:
Hybrid working arrangements with blended approach of office and home working
25 days annual leave entitlement plus bank holidays rising to 30 days with length of service
Wellbeing support including our Employee Assistance Programme
Generous pension scheme (LGPS)
Employee Discounts Scheme
Onsite fitness facilities
Support for continuous professional development
Flexible working opportunities available
Enhanced maternity, adoption and paternity leave
We are committed to safeguarding and promoting the welfare of children and young people and expect all staff and volunteers to share this commitment. We will ensure that all our recruitment and selection practices reflect this commitment. All successful candidates will be subject to Disclosure and Barring Service checks along with other relevant employment checks.
Click the button below to apply online
The closing date for receipt of applications is 30th November 2024.
Interviews will be held on the W/C 9th December 2024
We reserve the right to close this vacancy before the specified closing date should we receive sufficient applications or in order to respond to business needs. In order to avoid missing an opportunity to apply please submit your application as early as possible.
Candidates must be able to demonstrate their eligibility to work in the UK.
IT Support Technician Location: Wellington, Somerset (onsite 5x days per week) Salary: 28k Role Profile Are you a problem-solver with a passion for technology and a desire to make a real impact? We're looking for an enthusiastic IT Support Technician to support a vibrant school community teachers, support staff, students, and visitors while also providing remote and onsite support to our partner sites. In this hands-on role, you'll help keep the technology running smoothly every day, contribute to exciting infrastructure projects, and play a key part in maintaining a modern, secure and innovative IT environment. Your responsibilities as an IT Support Technician: Be the go-to person for day-to-day IT support, ensuring systems and devices are reliable, secure and ready when needed. Deliver first- and second-line support-diagnosing issues, troubleshooting efficiently, escalating where needed and keeping users informed. Support school events, making sure AV, networking and IT setups run without a hitch. Work with the Network Manager on upgrades, maintenance and infrastructure projects across the school. Help manage servers, cloud services, networks and endpoint environments. Maintain secure IT operations through good practice with access control, patching, backups and safeguarding. Deploy and support end-user devices-desktops, laptops, tablets, printers, mobiles and peripherals. Set up and troubleshoot AV systems: interactive screens, projectors, digital signage and classroom tech. Assist with deploying and maintaining school applications and cloud platforms. About You A logical thinker with strong attention to detail and a passion for problem-solving. Great communicator- comfortable working with everyone from senior leaders to students. Excellent time-management, able to juggle multiple tasks and prioritise effectively. Curious, adaptable and eager to learn new technologies End-user support across Windows 10/11, macOS and ChromeOS, including device deployment and modern management (Intune, Autopilot, Apple School Manager, MDM). Hardware troubleshooting for PCs, laptops, tablets, printers and peripherals. Server and identity management within Windows Server (Apply online only), Active Directory, Azure AD/Entra ID and Group Policy. Microsoft 365 administration, including Exchange Online, SharePoint and Teams. Networking fundamentals such as DHCP, DNS, TCP/IP, VLANs, switching, Wi-Fi and basic firewall concepts. Cloud and security tools, including backup technologies (Veeam, cloud backups), antivirus/endpoint protection, email/web filtering and safeguarding systems. Education technology, including MIS platforms (SIMS, iSAMS, SchoolBase) and classroom technologies like interactive screens and AV equipment. ECS Recruitment Group Ltd is acting as an Employment Agency in relation to this vacancy.
03/03/2026
Full time
IT Support Technician Location: Wellington, Somerset (onsite 5x days per week) Salary: 28k Role Profile Are you a problem-solver with a passion for technology and a desire to make a real impact? We're looking for an enthusiastic IT Support Technician to support a vibrant school community teachers, support staff, students, and visitors while also providing remote and onsite support to our partner sites. In this hands-on role, you'll help keep the technology running smoothly every day, contribute to exciting infrastructure projects, and play a key part in maintaining a modern, secure and innovative IT environment. Your responsibilities as an IT Support Technician: Be the go-to person for day-to-day IT support, ensuring systems and devices are reliable, secure and ready when needed. Deliver first- and second-line support-diagnosing issues, troubleshooting efficiently, escalating where needed and keeping users informed. Support school events, making sure AV, networking and IT setups run without a hitch. Work with the Network Manager on upgrades, maintenance and infrastructure projects across the school. Help manage servers, cloud services, networks and endpoint environments. Maintain secure IT operations through good practice with access control, patching, backups and safeguarding. Deploy and support end-user devices-desktops, laptops, tablets, printers, mobiles and peripherals. Set up and troubleshoot AV systems: interactive screens, projectors, digital signage and classroom tech. Assist with deploying and maintaining school applications and cloud platforms. About You A logical thinker with strong attention to detail and a passion for problem-solving. Great communicator- comfortable working with everyone from senior leaders to students. Excellent time-management, able to juggle multiple tasks and prioritise effectively. Curious, adaptable and eager to learn new technologies End-user support across Windows 10/11, macOS and ChromeOS, including device deployment and modern management (Intune, Autopilot, Apple School Manager, MDM). Hardware troubleshooting for PCs, laptops, tablets, printers and peripherals. Server and identity management within Windows Server (Apply online only), Active Directory, Azure AD/Entra ID and Group Policy. Microsoft 365 administration, including Exchange Online, SharePoint and Teams. Networking fundamentals such as DHCP, DNS, TCP/IP, VLANs, switching, Wi-Fi and basic firewall concepts. Cloud and security tools, including backup technologies (Veeam, cloud backups), antivirus/endpoint protection, email/web filtering and safeguarding systems. Education technology, including MIS platforms (SIMS, iSAMS, SchoolBase) and classroom technologies like interactive screens and AV equipment. ECS Recruitment Group Ltd is acting as an Employment Agency in relation to this vacancy.
Job Description: 3rd Line service desk engineer (MSP) Location: Borehamwood 4 days per week 1 day from home Salary: Up to 60 k per annum Certification budget: £3,(Apply online only)/year Weekly Team lunch: Enjoy a takeaway every single week Quarterly socials: Every 3 months we unwind as a team with various activities and entertainment Birthday leave: Full day off on your actual birthday (or nearest weekday!) Holiday: 22 days Hardware: Specify your own equipment we don't force outdated laptops on technical staff Training: Vendor-led training for NinjaOne, HaloPSA, CIPP formal upskilling budget separate from certification allowance Must have strong managed service provider experience Be the ultimate escalation point for our service desk owning the most complex technical incidents across our diverse SME client base. This isn't about clearing a ticket queue. You'll be architecting solutions whilst mentoring other line engineers through diagnostic methodology they haven't encountered before. Reporting to the Service Desk Manager, you'll define how we approach the technical challenges that determine whether clients renew or leave. MSP 3.0 reality check: We're implementing NinjaOne RMM to operate as a proactive, automation-first MSP rather than reactive break-fix. Your role includes configuring NinjaOne for maximum effectiveness building automated remediation workflows, establishing intelligent alerting thresholds that reduce noise whilst catching real issues, and creating monitoring policies that prevent incidents instead of just logging them. Proactive monitoring, self-healing scripts, predictive maintenance these aren't buzzwords here. They're how we can continue to continue to evolve our business with ever increasing intelligence and automation, using cutting edge MSP tools. Technical stack you'll own: Core MSP platforms: HaloPSA (PSA), NinjaOne RMM (implementing now you'll drive configuration), CIPP (M365 security automation), Hudu (documentation) M365 ecosystem: Full tenant administration, Exchange Online, Intune/Endpoint Manager, Conditional Access, DLP, ATP Infrastructure: Azure AD/Entra ID, hybrid on-prem/cloud, firewalls (vendor-agnostic), network routing/switching, VPN architectures Automation: We build custom solutions, not just copy/paste from forums. Get your API on! Non-negotiable requirements: 3+ years proven 3rd line work in MSP environment M365 administration at expert level built Conditional Access policies, configured Intune device compliance from scratch, troubleshot hybrid Exchange migrations Demonstrable diagnostic methodology articulate how you approach unknown problems systematically Client-facing communication explain technical root causes to non-technical directors without condescension or jargon overload PowerShell competency read, modify, and write scripts for automation and remediation Highly valued (will influence salary positioning): Microsoft certifications (MCSA/MCSE or current role-based equivalents) NinjaOne, Datto RMM, or comparable RMM platform configuration experience Azure infrastructure deployment and management Firewall administration (Fortinet, SonicWall, Draytek, or similar enterprise platforms) Experience building automated monitoring/remediation workflows in RMM environments What differentiates this role: Our CEO has over 25 years enterprise IT leadership background technical decisions aren't overruled by non-technical management. When you propose automated remediation workflows or infrastructure changes, the conversation is about efficacy, not whether it fits a pre-approved vendor list. 18-staff MSP, financially stable, zero private equity ownership. We make technical investments based on operational merit, not quarterly EBITDA targets. Genuine progression: You're joining as we scale from 18 to 40 staff over 24 months. We are looking for rock stars to take the lead on this exciting journey. We promote based on technical capability and leadership demonstration, not tenure. IND/LET Call Steve Hill on (phone number removed)
03/03/2026
Full time
Job Description: 3rd Line service desk engineer (MSP) Location: Borehamwood 4 days per week 1 day from home Salary: Up to 60 k per annum Certification budget: £3,(Apply online only)/year Weekly Team lunch: Enjoy a takeaway every single week Quarterly socials: Every 3 months we unwind as a team with various activities and entertainment Birthday leave: Full day off on your actual birthday (or nearest weekday!) Holiday: 22 days Hardware: Specify your own equipment we don't force outdated laptops on technical staff Training: Vendor-led training for NinjaOne, HaloPSA, CIPP formal upskilling budget separate from certification allowance Must have strong managed service provider experience Be the ultimate escalation point for our service desk owning the most complex technical incidents across our diverse SME client base. This isn't about clearing a ticket queue. You'll be architecting solutions whilst mentoring other line engineers through diagnostic methodology they haven't encountered before. Reporting to the Service Desk Manager, you'll define how we approach the technical challenges that determine whether clients renew or leave. MSP 3.0 reality check: We're implementing NinjaOne RMM to operate as a proactive, automation-first MSP rather than reactive break-fix. Your role includes configuring NinjaOne for maximum effectiveness building automated remediation workflows, establishing intelligent alerting thresholds that reduce noise whilst catching real issues, and creating monitoring policies that prevent incidents instead of just logging them. Proactive monitoring, self-healing scripts, predictive maintenance these aren't buzzwords here. They're how we can continue to continue to evolve our business with ever increasing intelligence and automation, using cutting edge MSP tools. Technical stack you'll own: Core MSP platforms: HaloPSA (PSA), NinjaOne RMM (implementing now you'll drive configuration), CIPP (M365 security automation), Hudu (documentation) M365 ecosystem: Full tenant administration, Exchange Online, Intune/Endpoint Manager, Conditional Access, DLP, ATP Infrastructure: Azure AD/Entra ID, hybrid on-prem/cloud, firewalls (vendor-agnostic), network routing/switching, VPN architectures Automation: We build custom solutions, not just copy/paste from forums. Get your API on! Non-negotiable requirements: 3+ years proven 3rd line work in MSP environment M365 administration at expert level built Conditional Access policies, configured Intune device compliance from scratch, troubleshot hybrid Exchange migrations Demonstrable diagnostic methodology articulate how you approach unknown problems systematically Client-facing communication explain technical root causes to non-technical directors without condescension or jargon overload PowerShell competency read, modify, and write scripts for automation and remediation Highly valued (will influence salary positioning): Microsoft certifications (MCSA/MCSE or current role-based equivalents) NinjaOne, Datto RMM, or comparable RMM platform configuration experience Azure infrastructure deployment and management Firewall administration (Fortinet, SonicWall, Draytek, or similar enterprise platforms) Experience building automated monitoring/remediation workflows in RMM environments What differentiates this role: Our CEO has over 25 years enterprise IT leadership background technical decisions aren't overruled by non-technical management. When you propose automated remediation workflows or infrastructure changes, the conversation is about efficacy, not whether it fits a pre-approved vendor list. 18-staff MSP, financially stable, zero private equity ownership. We make technical investments based on operational merit, not quarterly EBITDA targets. Genuine progression: You're joining as we scale from 18 to 40 staff over 24 months. We are looking for rock stars to take the lead on this exciting journey. We promote based on technical capability and leadership demonstration, not tenure. IND/LET Call Steve Hill on (phone number removed)
JOB TITLE : IT Support Team Leader Location: Livingston SALARY: £28,000 - £32,000 per annum Benefits: Private Healthcare, Pension, 25 days holiday rising to 30 over 5 years, Group life insurance, income protection, Gym Discounts, Free Fuel Fridays, Employee of the Quarter, Employee Referral program Do you enjoy developing, coaching and managing customers? Do you have experience managing a team of 10-12 and you re looking for the next company to excel and grow your skills? Or, are you just looking to join a reputable company where you can really show your management skills? If you answered yes to any of the above, we may have the role for you! Established in the 80 s, XMA has grown to become one of the top ten largest value-added resellers in the UK. Today, we re an independent UK company with full geographic coverage and our skilled workforce serves a diverse customer base across the public and private sector. We win awards for our ability to help organisations and users achieve more with technology. We specialise in realising individual ambitions to transform and evolve. We consult, define, adapt and deliver on real-life outcomes. We collaborate closely to bring that positive impact home. We are currently looking for an IT Support Team Leader to manage a team of individuals within a busy helpdesk environment. You will be responsible for all relationships with your customers, focusing on getting the best out of your team to hit all service level agreements. LOCATION : Livingston - Hybrid JOB SPECIFICATION: You ll be responsible for a team of 10-12 colleagues within a busy helpdesk Helping the team come to resolutions on all incidents and requests received through our ticket system, phone or email 1-2-1s and coaching plans within your team, plus the delivery of performance reviews Main point of contact for customers you are responsible for on your helpdesk to keep up a consistent line of communication. This role involves working Monday Friday on 8.5 hour shifts, anywhere between 7am-6pm, with an hour lunch. REQUIREMENTS: Experience managing a team of 10-12 within either a helpdesk, service desk or call centre environment Confident delivering customer service and dealing with clients both by phone or email A keen interest in IT or experience managing a helpdesk team We re proud to be recognised as a Disability Confident Level 3 Employer the highest level in the UK Government s scheme. This reflects our ongoing commitment to fostering an inclusive, supportive culture where everyone has the opportunity to thrive. Through our inclusive recruitment practices, we ensure that individuals with disabilities are given fair and equal access to opportunities within our organisation. As part of this commitment, we participate in the Guaranteed Interview Scheme, which offers an interview to any candidate with a disability who meets the essential criteria for the role. We will ensure that individuals who have a disability are provided reasonable accommodation, to enable full participation in the job application and interview process. If you have any such requirements, please do not hesitate to contact us on our email which is (url removed), we will be happy to action your requests.
03/03/2026
Full time
JOB TITLE : IT Support Team Leader Location: Livingston SALARY: £28,000 - £32,000 per annum Benefits: Private Healthcare, Pension, 25 days holiday rising to 30 over 5 years, Group life insurance, income protection, Gym Discounts, Free Fuel Fridays, Employee of the Quarter, Employee Referral program Do you enjoy developing, coaching and managing customers? Do you have experience managing a team of 10-12 and you re looking for the next company to excel and grow your skills? Or, are you just looking to join a reputable company where you can really show your management skills? If you answered yes to any of the above, we may have the role for you! Established in the 80 s, XMA has grown to become one of the top ten largest value-added resellers in the UK. Today, we re an independent UK company with full geographic coverage and our skilled workforce serves a diverse customer base across the public and private sector. We win awards for our ability to help organisations and users achieve more with technology. We specialise in realising individual ambitions to transform and evolve. We consult, define, adapt and deliver on real-life outcomes. We collaborate closely to bring that positive impact home. We are currently looking for an IT Support Team Leader to manage a team of individuals within a busy helpdesk environment. You will be responsible for all relationships with your customers, focusing on getting the best out of your team to hit all service level agreements. LOCATION : Livingston - Hybrid JOB SPECIFICATION: You ll be responsible for a team of 10-12 colleagues within a busy helpdesk Helping the team come to resolutions on all incidents and requests received through our ticket system, phone or email 1-2-1s and coaching plans within your team, plus the delivery of performance reviews Main point of contact for customers you are responsible for on your helpdesk to keep up a consistent line of communication. This role involves working Monday Friday on 8.5 hour shifts, anywhere between 7am-6pm, with an hour lunch. REQUIREMENTS: Experience managing a team of 10-12 within either a helpdesk, service desk or call centre environment Confident delivering customer service and dealing with clients both by phone or email A keen interest in IT or experience managing a helpdesk team We re proud to be recognised as a Disability Confident Level 3 Employer the highest level in the UK Government s scheme. This reflects our ongoing commitment to fostering an inclusive, supportive culture where everyone has the opportunity to thrive. Through our inclusive recruitment practices, we ensure that individuals with disabilities are given fair and equal access to opportunities within our organisation. As part of this commitment, we participate in the Guaranteed Interview Scheme, which offers an interview to any candidate with a disability who meets the essential criteria for the role. We will ensure that individuals who have a disability are provided reasonable accommodation, to enable full participation in the job application and interview process. If you have any such requirements, please do not hesitate to contact us on our email which is (url removed), we will be happy to action your requests.
The starting salary for this permanent position is 53,713 per annum based on a 36-hour working week. We are excited to be recruiting for a skilled and highly motivated Unit 4 Service Delivery Team Leader to join our dynamic MySurrey Service Delivery team. Reporting to the Service Delivery Manager, you will join the wider IT&D Service and work as part of a team with the autonomy to succeed in a lively, friendly environment. We are committed to investing in our staff and supporting every individual to achieve their full potential. The team is based in Woodhatch, Reigate but we promote a hybrid approach to working, meeting collaboratively when required. There is an expectation to attend the office, at least once a week. Our Offer to You 26 days' holiday, rising to 28 days after 2 years' service and 31 days after 5 years' service (prorated for part time staff) Option to buy up to 10 days of additional annual leave A generous local government salary related pension Up to 5 days of carer's leave and 2 paid volunteering days per year Paternity, adoption and dependents leave An Employee Assistance Programme (EAP) to support health and wellbeing Learning and development hub where you can access a wealth of resources Wellbeing and lifestyle discounts including gym, travel, and shopping A chance to make a real difference to the lives of our residents. About the Role Surrey County Council have implemented Unit 4 as a modern, intuitive, and flexible Software-as-a-Service Enterprise Resource Planning System. A significant programme of work has been completed to deliver the full implementation, including the configuration of the system, data migration and implementing required integrations with other Council systems. Unit 4 is supported by in-house IT & Digital teams that operate ITIL 4 service management processes and are structured into: Service Delivery (service requests, incidents, problem management, SLA/KPI reporting and supplier relationship management) Service Improvement (change requests, release management & business relationship management) As a vital member of the team, you will play a crucial role in ensuring the smooth operation and optimal performance of the Unit 4 application whilst maintaining a high level of service delivery. Duties of the Unit 4 Service Delivery Team Leader include: Assisting the Service Delivery Manager in the delivery of IT services to business stakeholders, teams and end users Leading a team of four support agents, motivating them and driving their performance, ensuring that the services provided meets and exceeds our customers' expectations Providing second-line IT support and assistance to customers and stakeholders, resolving issues promptly through effective communication and co-ordination Monitoring service delivery performance against agreed-upon service level agreements (SLAs) Contributing to the development of service delivery policies, procedures and guidelines Supporting project delivery, service improvement initiatives, system upgrades and other continuous improvement activities Your Application In order to be considered for shortlisting, your application will clearly evidence the following skills and align with our behaviours: Previous experience of Unit 4 ERP/ Agresso or similar ERP systems in a Service Delivery or Support role Broad understanding in at least one of the functional areas of HR, Payroll, Finance, Procurement or FP&A (Financial Planning & Analysis) Supervisory or lead experience in a similar systems environment Ability to share technical knowledge with non-technical colleagues Excellent problem-solving and troubleshooting skills with strong communication and collaboration skills Ability to manage multiple tasks and projects simultaneously Knowledge of ITIL service management framework including Service Desk, Service Request Management, Incident Management and Problem Management. To apply, we request that you submit a CV and you will be asked the following questions: Please describe your experience working with Unit4 ERP (Agresso) in a service delivery or support capacity. What were your key responsibilities? Which functional areas (e.g., HR, Payroll, Finance, Procurement, or FP&A) do you have experience with? Please describe your experience supervising or leading a team within a systems or technical environment. Please contact us for any questions relating to the role. This could be to discuss flexible working requests, transferable skills or any barriers to employment. The job advert closes at 23:59 on 22/02/2026 with interviews to follow. We look forward to receiving your application, please click on the apply online button below to submit. Local Government Reorganisation (LGR) Surrey County Council is undergoing Local Government Reorganisation, moving from a two-tier system to two new unitary councils in April 2027. If you are employed by Surrey on 1st April 2027, your role will transfer with current terms and conditions to one of the new organisations, supporting local devolution and greater powers for our communities. Join our dynamic team and shape the future of local government. Make a lasting impact with innovative solutions and improved services for our community. Help us build a brighter future for our residents! Please see more information on our website. Our Commitment We are a disability confident employer which means if you have shared a disability on your application form and have evidenced you meet the minimum criteria, we guarantee you an interview. Your skills and experience truly matter to us. From application to your first day, we're committed to supporting you with any adjustments you need, we value inclusion and warmly welcome you to join and help build a workplace where everyone belongs.
03/03/2026
Full time
The starting salary for this permanent position is 53,713 per annum based on a 36-hour working week. We are excited to be recruiting for a skilled and highly motivated Unit 4 Service Delivery Team Leader to join our dynamic MySurrey Service Delivery team. Reporting to the Service Delivery Manager, you will join the wider IT&D Service and work as part of a team with the autonomy to succeed in a lively, friendly environment. We are committed to investing in our staff and supporting every individual to achieve their full potential. The team is based in Woodhatch, Reigate but we promote a hybrid approach to working, meeting collaboratively when required. There is an expectation to attend the office, at least once a week. Our Offer to You 26 days' holiday, rising to 28 days after 2 years' service and 31 days after 5 years' service (prorated for part time staff) Option to buy up to 10 days of additional annual leave A generous local government salary related pension Up to 5 days of carer's leave and 2 paid volunteering days per year Paternity, adoption and dependents leave An Employee Assistance Programme (EAP) to support health and wellbeing Learning and development hub where you can access a wealth of resources Wellbeing and lifestyle discounts including gym, travel, and shopping A chance to make a real difference to the lives of our residents. About the Role Surrey County Council have implemented Unit 4 as a modern, intuitive, and flexible Software-as-a-Service Enterprise Resource Planning System. A significant programme of work has been completed to deliver the full implementation, including the configuration of the system, data migration and implementing required integrations with other Council systems. Unit 4 is supported by in-house IT & Digital teams that operate ITIL 4 service management processes and are structured into: Service Delivery (service requests, incidents, problem management, SLA/KPI reporting and supplier relationship management) Service Improvement (change requests, release management & business relationship management) As a vital member of the team, you will play a crucial role in ensuring the smooth operation and optimal performance of the Unit 4 application whilst maintaining a high level of service delivery. Duties of the Unit 4 Service Delivery Team Leader include: Assisting the Service Delivery Manager in the delivery of IT services to business stakeholders, teams and end users Leading a team of four support agents, motivating them and driving their performance, ensuring that the services provided meets and exceeds our customers' expectations Providing second-line IT support and assistance to customers and stakeholders, resolving issues promptly through effective communication and co-ordination Monitoring service delivery performance against agreed-upon service level agreements (SLAs) Contributing to the development of service delivery policies, procedures and guidelines Supporting project delivery, service improvement initiatives, system upgrades and other continuous improvement activities Your Application In order to be considered for shortlisting, your application will clearly evidence the following skills and align with our behaviours: Previous experience of Unit 4 ERP/ Agresso or similar ERP systems in a Service Delivery or Support role Broad understanding in at least one of the functional areas of HR, Payroll, Finance, Procurement or FP&A (Financial Planning & Analysis) Supervisory or lead experience in a similar systems environment Ability to share technical knowledge with non-technical colleagues Excellent problem-solving and troubleshooting skills with strong communication and collaboration skills Ability to manage multiple tasks and projects simultaneously Knowledge of ITIL service management framework including Service Desk, Service Request Management, Incident Management and Problem Management. To apply, we request that you submit a CV and you will be asked the following questions: Please describe your experience working with Unit4 ERP (Agresso) in a service delivery or support capacity. What were your key responsibilities? Which functional areas (e.g., HR, Payroll, Finance, Procurement, or FP&A) do you have experience with? Please describe your experience supervising or leading a team within a systems or technical environment. Please contact us for any questions relating to the role. This could be to discuss flexible working requests, transferable skills or any barriers to employment. The job advert closes at 23:59 on 22/02/2026 with interviews to follow. We look forward to receiving your application, please click on the apply online button below to submit. Local Government Reorganisation (LGR) Surrey County Council is undergoing Local Government Reorganisation, moving from a two-tier system to two new unitary councils in April 2027. If you are employed by Surrey on 1st April 2027, your role will transfer with current terms and conditions to one of the new organisations, supporting local devolution and greater powers for our communities. Join our dynamic team and shape the future of local government. Make a lasting impact with innovative solutions and improved services for our community. Help us build a brighter future for our residents! Please see more information on our website. Our Commitment We are a disability confident employer which means if you have shared a disability on your application form and have evidenced you meet the minimum criteria, we guarantee you an interview. Your skills and experience truly matter to us. From application to your first day, we're committed to supporting you with any adjustments you need, we value inclusion and warmly welcome you to join and help build a workplace where everyone belongs.
Zebrec are delighted to offer this role as Technical Solutions Architect working for our client who is a reputable & leading provider of professional services to their industry of Audio Visual Systems Integration. Snapshot of Role, Responsibilities & Skills for the : Technical Solutions Architect As a leading Technical Recruitment Consultancy Zebrec are delighted to offer this role as Technical Solutions Architect working for our client who is a reputable & leading provider of Consultancy Services of Unified Communications Role & Responsibilities of the Technical Solutions Architect: - Provide strategic consultancy for client engagements across a range of technologies - Technical pre-sales for potential clients - Author High and Low Level Designs to fulfil customer requirements - Responsible for project managing end-to-end delivery of all aspects of a project for smaller projects - Owning technical relationship with customers - Contribute to product development across existing portfolio and with new and emerging technologies - Contribute to our marketing through the use of social media and blogs - Provide technical support for our clients which may include out of hours work from time-to-time General Experience - Provide strategic consultancy for UC Skype for Business deployments - Provide Pre-sales delivery for potential clients - Ability to scope project deliveries and respond to RFP's - Provide Post-sales delivery for clients - Responsible for end-to-end technical stages of a delivery - Provide quality assurance and manage architect and engineer deliverables - Excellent client relationship and communications skills - Deliver designs for large scale, complex global UC deliveries - Experience in PBX replacement projects - MSCE/MCP certification preferred but not essential - experience key Technical Experience - Subject Matter Expert in Microsoft Skype for Business/Microsoft Lync (all features) - Microsoft Teams (Office 365) - Telephony - Direct Routing/Calling Plans - Microsoft Skype for Business Online (Office 365) - Complex Enterprise Voice deployments - Enterprise Pool and Survivable Branch deployments - Voice over IP/TDM Telephony - LAN/WAN/QoS (Networking) - Firewalls/Proxy servers/Certificates/DNS/SQL Server - Video Conferencing integration and cloud services - Active Directory and Windows Server Services - SBC and Voice Gateway deployment (AudioCodes, Sonus) - Microsoft Exchange on-prem/online - PowerShell scripting Desired Skills - Experience working within teams - Ability to manage workload under pressure, within aggressive schedules and with little supervision - History of successful deliveries in Unified Communications, predominantly in Microsoft Lync/Skype for Business - Excellent written, oral and communication skill - Experience in Audio/Visual technologies If you would be interested in applying for the role of Technical Solutions Architect then please send us a copy of your CV. Please also view our other live roles on our website. You can also follow us on social media (Facebook, LinkedIn & Twitter) for regular live updates. We look forward to your application for the role of Technical Solutions Architect. Regards, A full and updated specification may be avaiable, please contact us for details. If you would be interested in applying for the role of Technical Solutions Architect then please send us a copy of your updated CV We take your data seriously and you can view our privacy policy on our website. By applying for this role, you are acknowledging that you have accepted Zebrecs terms & conditions. Audio, AV, A-V, A/V, Audio Visual, Audio-Visual, AudioVisual, Autodesk, AMX, AV Design, AutoCAD, AV Integration, Avixa, BMS, CAD, Cisco, Clearone, Crestron, Corporate, CTS, Data, Design, Digital Signage, Digital Video, Exterity, Extron, Harman, HD, HDBaseT, Home Automation, Home Cinema, Infocomm, IoT, IP, Kaleidescape, Lighting, LG, Lighting, LG, Lutron, Microsoft Project, MS Project, NEC, Networks, Networking, PA Systems, Panasonic, Polycom, PM, Prince2, Prince 11, Project Manager, Project Management, QSC, Residential, Revit, Samsung, SD, Sony, Video, VC, Video Conferencing Systems, Visio, Visual, Yamaha
03/03/2026
Full time
Zebrec are delighted to offer this role as Technical Solutions Architect working for our client who is a reputable & leading provider of professional services to their industry of Audio Visual Systems Integration. Snapshot of Role, Responsibilities & Skills for the : Technical Solutions Architect As a leading Technical Recruitment Consultancy Zebrec are delighted to offer this role as Technical Solutions Architect working for our client who is a reputable & leading provider of Consultancy Services of Unified Communications Role & Responsibilities of the Technical Solutions Architect: - Provide strategic consultancy for client engagements across a range of technologies - Technical pre-sales for potential clients - Author High and Low Level Designs to fulfil customer requirements - Responsible for project managing end-to-end delivery of all aspects of a project for smaller projects - Owning technical relationship with customers - Contribute to product development across existing portfolio and with new and emerging technologies - Contribute to our marketing through the use of social media and blogs - Provide technical support for our clients which may include out of hours work from time-to-time General Experience - Provide strategic consultancy for UC Skype for Business deployments - Provide Pre-sales delivery for potential clients - Ability to scope project deliveries and respond to RFP's - Provide Post-sales delivery for clients - Responsible for end-to-end technical stages of a delivery - Provide quality assurance and manage architect and engineer deliverables - Excellent client relationship and communications skills - Deliver designs for large scale, complex global UC deliveries - Experience in PBX replacement projects - MSCE/MCP certification preferred but not essential - experience key Technical Experience - Subject Matter Expert in Microsoft Skype for Business/Microsoft Lync (all features) - Microsoft Teams (Office 365) - Telephony - Direct Routing/Calling Plans - Microsoft Skype for Business Online (Office 365) - Complex Enterprise Voice deployments - Enterprise Pool and Survivable Branch deployments - Voice over IP/TDM Telephony - LAN/WAN/QoS (Networking) - Firewalls/Proxy servers/Certificates/DNS/SQL Server - Video Conferencing integration and cloud services - Active Directory and Windows Server Services - SBC and Voice Gateway deployment (AudioCodes, Sonus) - Microsoft Exchange on-prem/online - PowerShell scripting Desired Skills - Experience working within teams - Ability to manage workload under pressure, within aggressive schedules and with little supervision - History of successful deliveries in Unified Communications, predominantly in Microsoft Lync/Skype for Business - Excellent written, oral and communication skill - Experience in Audio/Visual technologies If you would be interested in applying for the role of Technical Solutions Architect then please send us a copy of your CV. Please also view our other live roles on our website. You can also follow us on social media (Facebook, LinkedIn & Twitter) for regular live updates. We look forward to your application for the role of Technical Solutions Architect. Regards, A full and updated specification may be avaiable, please contact us for details. If you would be interested in applying for the role of Technical Solutions Architect then please send us a copy of your updated CV We take your data seriously and you can view our privacy policy on our website. By applying for this role, you are acknowledging that you have accepted Zebrecs terms & conditions. Audio, AV, A-V, A/V, Audio Visual, Audio-Visual, AudioVisual, Autodesk, AMX, AV Design, AutoCAD, AV Integration, Avixa, BMS, CAD, Cisco, Clearone, Crestron, Corporate, CTS, Data, Design, Digital Signage, Digital Video, Exterity, Extron, Harman, HD, HDBaseT, Home Automation, Home Cinema, Infocomm, IoT, IP, Kaleidescape, Lighting, LG, Lighting, LG, Lutron, Microsoft Project, MS Project, NEC, Networks, Networking, PA Systems, Panasonic, Polycom, PM, Prince2, Prince 11, Project Manager, Project Management, QSC, Residential, Revit, Samsung, SD, Sony, Video, VC, Video Conferencing Systems, Visio, Visual, Yamaha
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
03/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
03/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
03/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
03/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
03/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
03/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
03/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
03/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
03/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
03/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
03/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
03/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
