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.
We are looking for an experienced technology leader to support strategic direction for our technology services, someone who is values driven and supports our mission, people and front-line services.
This is a senior leadership role with responsibility for the delivery, resilience and continuous improvement of the organisation’s technology estate including workplace technology, infrastructure, networks, IT service management and will involve working with third-party suppliers.
Working closely with the IT Manager, you’ll provide day-to-day operational oversight while also leading technology projects and improvement programmes that modernise systems, strengthen resilience and embed best practice. You’ll act as a trusted point of contact for technology change across the organisation — listening to colleagues, understanding their needs and translating them into practical, effective solutions.
You will also support with the procurement and management of IT goods and services, ensuring strong supplier performance, value for money and responsible use of resources. Providing a responsive, customer-focused IT service is central to this role. You’ll ensure high-quality advice, effective support and timely resolution of issues for colleagues across the organisation.
The role requires a strong background and understanding of IT, as well as of our organisations key priorities, challenges, creativity, and pragmatism. You should be able to apply best practice from across the technology sector, adapting for our not-for-profit organisation where value for money, resource management, and effective frontline services are essential.
This varied role will include specific responsibility for:
Working with colleagues to understand organisational needs, challenges, and opportunities, and translating these into clear, evidence-based technology requirements
Lead the mobilisation of new technology products and services across their full lifecycle, from identification and business case development through to implementation, adoption, optimisation, and retirement
Ensure product and service roadmaps are aligned with organisational priorities, user needs, and available resources
Oversee change management and user adoption activities to ensure new products and services are embedded effectively across the organisation
Balance strategic oversight with hands-on involvement to ensure successful delivery and ongoing value from technology investments
Lead and deliver technology projects and continuous improvement programmes to modernise systems and strengthen organisational resilience - translating organisational needs into practical and well-evidenced technology solutions
Lead on cyber security, including security controls, patch management, system updates, risk identification and mitigation
Lead and support the organisation in achieving and maintaining Cyber Essentials Plus accreditation
Ensure strong cyber security practices are embedded and consistently applied across the organisation
Ensure infrastructure, applications and devices are proactively monitored, secure, compliant, and well maintained
Apply technology best practice in a pragmatic way, adapted to the needs and constraints of a not-for-profit organisation
We will support your ongoing professional development with access to training and membership of professional networks.
We can offer full time (37.5 hours) or part-time hours, subject to a minimum of 30 hours, with the expectation of some flexibility to attend evening meetings and undertake national travel. The post will be based in our Head Office in Stockport. Our offices are readily accessible on public transport as we are based in in the centre of Stockport close to the mainline train station.
For more information about this role please do not hesitate to contact Tracey Cornhill by email to Tracey.Cornhill@creativesupport.co.uk
Vacancy Reference Number: 84299
Applications for this role must be submitted via the Creative Support website using the above vacancy reference number
Benefits of working with Creative Support include a probationary bonus, pension contributions, free life assurance, 38 days Leave and company paid enhanced DBS.
We are a passionate, inclusive, and anti-racist organization - Stonewall Diversity Champion, Disability Confident Employer who have recently received Investors in People Gold award.
Applications are reviewed as they are received, we do not provide feedback for unsuccessful applications. We can only accept applications from candidates who are located in and eligible to work within the UK – This post will not be open to Sponsorship and we are unable to accept applicants with Skilled Worker Visas .
30/01/2026
Full time
We are looking for an experienced technology leader to support strategic direction for our technology services, someone who is values driven and supports our mission, people and front-line services.
This is a senior leadership role with responsibility for the delivery, resilience and continuous improvement of the organisation’s technology estate including workplace technology, infrastructure, networks, IT service management and will involve working with third-party suppliers.
Working closely with the IT Manager, you’ll provide day-to-day operational oversight while also leading technology projects and improvement programmes that modernise systems, strengthen resilience and embed best practice. You’ll act as a trusted point of contact for technology change across the organisation — listening to colleagues, understanding their needs and translating them into practical, effective solutions.
You will also support with the procurement and management of IT goods and services, ensuring strong supplier performance, value for money and responsible use of resources. Providing a responsive, customer-focused IT service is central to this role. You’ll ensure high-quality advice, effective support and timely resolution of issues for colleagues across the organisation.
The role requires a strong background and understanding of IT, as well as of our organisations key priorities, challenges, creativity, and pragmatism. You should be able to apply best practice from across the technology sector, adapting for our not-for-profit organisation where value for money, resource management, and effective frontline services are essential.
This varied role will include specific responsibility for:
Working with colleagues to understand organisational needs, challenges, and opportunities, and translating these into clear, evidence-based technology requirements
Lead the mobilisation of new technology products and services across their full lifecycle, from identification and business case development through to implementation, adoption, optimisation, and retirement
Ensure product and service roadmaps are aligned with organisational priorities, user needs, and available resources
Oversee change management and user adoption activities to ensure new products and services are embedded effectively across the organisation
Balance strategic oversight with hands-on involvement to ensure successful delivery and ongoing value from technology investments
Lead and deliver technology projects and continuous improvement programmes to modernise systems and strengthen organisational resilience - translating organisational needs into practical and well-evidenced technology solutions
Lead on cyber security, including security controls, patch management, system updates, risk identification and mitigation
Lead and support the organisation in achieving and maintaining Cyber Essentials Plus accreditation
Ensure strong cyber security practices are embedded and consistently applied across the organisation
Ensure infrastructure, applications and devices are proactively monitored, secure, compliant, and well maintained
Apply technology best practice in a pragmatic way, adapted to the needs and constraints of a not-for-profit organisation
We will support your ongoing professional development with access to training and membership of professional networks.
We can offer full time (37.5 hours) or part-time hours, subject to a minimum of 30 hours, with the expectation of some flexibility to attend evening meetings and undertake national travel. The post will be based in our Head Office in Stockport. Our offices are readily accessible on public transport as we are based in in the centre of Stockport close to the mainline train station.
For more information about this role please do not hesitate to contact Tracey Cornhill by email to Tracey.Cornhill@creativesupport.co.uk
Vacancy Reference Number: 84299
Applications for this role must be submitted via the Creative Support website using the above vacancy reference number
Benefits of working with Creative Support include a probationary bonus, pension contributions, free life assurance, 38 days Leave and company paid enhanced DBS.
We are a passionate, inclusive, and anti-racist organization - Stonewall Diversity Champion, Disability Confident Employer who have recently received Investors in People Gold award.
Applications are reviewed as they are received, we do not provide feedback for unsuccessful applications. We can only accept applications from candidates who are located in and eligible to work within the UK – This post will not be open to Sponsorship and we are unable to accept applicants with Skilled Worker Visas .
Reigate and Banstead Borough Council
Reigate, Surrey, UK
Job Title: Digital Services & Systems Team Leader
Location of work: Town Hall, Reigate
Salary: TS1 Pay scales £48075 to £62004
Basis: Permanent, Full time
Are you ready to make a real impact in shaping the digital future of local government? We’re seeking a proactive and innovative Digital Services & Systems Team Leader to join our ICT department. This is a hands-on team leader role, ideal for a self-starter who thrives on driving digital transformation and operational excellence.
About the Role
As the Digital Services & Systems Team Leader, you will:
Lead a team of three Business Improvement Analysts and three System Support Analysts.
Develop and maintain a forward-looking, agile business application architecture to support council services.
Contribute to ICT strategy, ensuring compliance with national and local standards.
Manage team resourcing, external partnerships and problem escalation.
Key Responsibilities
Drive digital transformation initiatives, including service design, form building, and automation.
Champion user-centred design and accessibility across all digital services.
Foster a culture of innovation, continuous improvement, and cross-departmental collaboration.
Evaluate proposals for new systems and enhancements, prioritizing based on ROI and strategic fit.
Oversee the development of online forms using low-code platforms (e.g., Granicus govService), HTML/CSS, and API integration.
Support systems administration for both legacy and modern cloud platforms.
Plan and coordinate software rollouts, including governance, training, and change communication.
Lead the adoption and rollout of collaboration platforms such as Microsoft Teams and SharePoint and encourage their use to enhance productivity.
What We’re Looking For
Proven experience in digital services, systems leadership, or ICT project management.
Strong analytical, problem-solving, and communication skills.
Experience with digital transformation, automation, and user-centred design.
Ability to manage multiple priorities and foster cross-functional collaboration.
Commitment to continuous improvement and innovation.
Join us as we embark on our journey to become a larger unitary authority in Surrey. Play a pivotal role in shaping the council’s digital landscape, making a difference for our community and colleagues alike. Apply today to lead our digital journey!
Staff Benefits
In exchange for your expertise, experience and enthusiasm, we will offer support in continuing your personal and career development, in addition to providing a wide range of employment linked benefits.
We provide you with competitive annual leave, and contribute 15% towards the LGPS pension scheme. You will also have access to a range of discounts including local and high street stores, and salary sacrifice schemes including a cycle lease scheme, and ‘Better’ leisure centre membership.
Additional Information
For an informal discussion about the role, please call Kenton Reader, Technology Services Manager on 01737 276764.
We are proud to be an equal opportunities employer, supporting the guaranteed interview scheme for disabled and ex-armed forces candidates, who meet the essential criteria for the role.
Closing date: Tuesday 6 January 2026
Interview date: Monday 19 January 2026
Values and Behaviours
Our great working environment and the values and behaviours of every individual and team in the Council, help to evolve the culture of our organisation to become more commercial, innovative and embracing of change. Successful applicants to our career opportunities will be able to demonstrate they share the values and behaviours we seek in our organisation.
Local Government Reorganisation
Reigate and Banstead Borough Council is part of the government’s plans for Local Government Reorganisation (LGR) scheduled to take place in April 2027. This means the current two-tier system, where services are split between Surrey County Council and district and borough councils like Reigate, will be replaced with two unitary councils made up of East and West Surrey, which will handle all local services. Reigate and Banstead Borough Council will form part of the new East Surrey unitary authority.
Although this may lead to some uncertainty for anyone considering a role with us, this process will take some time and during that time we still need to provide services. When local government is reorganised, most staff will transfer to the new council(s) which may offer additional opportunities for career development and variety as part of a larger organisation.
Further information on LGR can be found here: Local Government Reorganisation (LGR) and Devolution | Reigate and Banstead
See ' Who we are ' as a council, to find out more about us.
11/12/2025
Full time
Job Title: Digital Services & Systems Team Leader
Location of work: Town Hall, Reigate
Salary: TS1 Pay scales £48075 to £62004
Basis: Permanent, Full time
Are you ready to make a real impact in shaping the digital future of local government? We’re seeking a proactive and innovative Digital Services & Systems Team Leader to join our ICT department. This is a hands-on team leader role, ideal for a self-starter who thrives on driving digital transformation and operational excellence.
About the Role
As the Digital Services & Systems Team Leader, you will:
Lead a team of three Business Improvement Analysts and three System Support Analysts.
Develop and maintain a forward-looking, agile business application architecture to support council services.
Contribute to ICT strategy, ensuring compliance with national and local standards.
Manage team resourcing, external partnerships and problem escalation.
Key Responsibilities
Drive digital transformation initiatives, including service design, form building, and automation.
Champion user-centred design and accessibility across all digital services.
Foster a culture of innovation, continuous improvement, and cross-departmental collaboration.
Evaluate proposals for new systems and enhancements, prioritizing based on ROI and strategic fit.
Oversee the development of online forms using low-code platforms (e.g., Granicus govService), HTML/CSS, and API integration.
Support systems administration for both legacy and modern cloud platforms.
Plan and coordinate software rollouts, including governance, training, and change communication.
Lead the adoption and rollout of collaboration platforms such as Microsoft Teams and SharePoint and encourage their use to enhance productivity.
What We’re Looking For
Proven experience in digital services, systems leadership, or ICT project management.
Strong analytical, problem-solving, and communication skills.
Experience with digital transformation, automation, and user-centred design.
Ability to manage multiple priorities and foster cross-functional collaboration.
Commitment to continuous improvement and innovation.
Join us as we embark on our journey to become a larger unitary authority in Surrey. Play a pivotal role in shaping the council’s digital landscape, making a difference for our community and colleagues alike. Apply today to lead our digital journey!
Staff Benefits
In exchange for your expertise, experience and enthusiasm, we will offer support in continuing your personal and career development, in addition to providing a wide range of employment linked benefits.
We provide you with competitive annual leave, and contribute 15% towards the LGPS pension scheme. You will also have access to a range of discounts including local and high street stores, and salary sacrifice schemes including a cycle lease scheme, and ‘Better’ leisure centre membership.
Additional Information
For an informal discussion about the role, please call Kenton Reader, Technology Services Manager on 01737 276764.
We are proud to be an equal opportunities employer, supporting the guaranteed interview scheme for disabled and ex-armed forces candidates, who meet the essential criteria for the role.
Closing date: Tuesday 6 January 2026
Interview date: Monday 19 January 2026
Values and Behaviours
Our great working environment and the values and behaviours of every individual and team in the Council, help to evolve the culture of our organisation to become more commercial, innovative and embracing of change. Successful applicants to our career opportunities will be able to demonstrate they share the values and behaviours we seek in our organisation.
Local Government Reorganisation
Reigate and Banstead Borough Council is part of the government’s plans for Local Government Reorganisation (LGR) scheduled to take place in April 2027. This means the current two-tier system, where services are split between Surrey County Council and district and borough councils like Reigate, will be replaced with two unitary councils made up of East and West Surrey, which will handle all local services. Reigate and Banstead Borough Council will form part of the new East Surrey unitary authority.
Although this may lead to some uncertainty for anyone considering a role with us, this process will take some time and during that time we still need to provide services. When local government is reorganised, most staff will transfer to the new council(s) which may offer additional opportunities for career development and variety as part of a larger organisation.
Further information on LGR can be found here: Local Government Reorganisation (LGR) and Devolution | Reigate and Banstead
See ' Who we are ' as a council, to find out more about us.
Would you like to work for a company who is accredited as an outstanding company to work for in Best Companies 2023?
Role: IT Network & Cyber Security Manager
Location: Ashton-under-Lyne
Salary: £56,411 - £61,158 per annum
Benefits: Car Allowance, Pension, Occupational Sick Pay, BHSF Health Membership
About the Role:
We are seeking an experienced and motivated IT Network & Cyber Security Manager, who will take a proactive approach to safeguarding information assets, managing risks, leading incident response, and driving continual improvement of the Group’s cyber security and network posture.
You will collaborate with internal stakeholders, executive leaders, and third-party suppliers to deliver secure, scalable, and compliant technology services.
About the department:
All of Jigsaw's essential services rely on quality information, systems and technology supported by the 50 members of the IT department. Working to a brand-new IT Strategy, the team has exciting challenges like enabling colleagues to work effectively from anywhere, automating processes and improving digital services for our customers, whilst always improving security.
The team is also innovating in its ways of working, ensuring transparency, a keen focus on outcomes and faster delivery of benefits to the business.
Who we are:
Jigsaw Homes Group is one of the largest housing groups in England with more than 37,500 homes across the North West and East Midlands.
We provide quality, low-cost housing and play a wider role in making sure our residents thrive in their homes and benefit from living in healthy, sustainable communities.
Why Join Jigsaw?
Jigsaw Homes Group offers employees a very competitive 24 days holiday per annum, plus 3 days for Christmas closure (5 day working week) plus bank holidays, plus additional days after 2 years continuous service (to a maximum of 5 days).
We offer our employees the option to buy/sell up to 5 days extra leave per year and we offer compressed hours of work with the option to work a 4-day working week in a number of our roles, with 50% of your time working from home upon completion of a satisfactory probation period. This allows for a great work/life balance for many employees.
As a Jigsaw employee you will also receive incremental salaried pay, occupational sick pay, access to access to the Social Housing Pension Scheme, enhanced maternity/paternity leave, BHSF membership, access to on-site gyms and training/development opportunities.
If this sounds like the perfect job for you then don’t hesitate to apply now!
08/12/2025
Full time
Would you like to work for a company who is accredited as an outstanding company to work for in Best Companies 2023?
Role: IT Network & Cyber Security Manager
Location: Ashton-under-Lyne
Salary: £56,411 - £61,158 per annum
Benefits: Car Allowance, Pension, Occupational Sick Pay, BHSF Health Membership
About the Role:
We are seeking an experienced and motivated IT Network & Cyber Security Manager, who will take a proactive approach to safeguarding information assets, managing risks, leading incident response, and driving continual improvement of the Group’s cyber security and network posture.
You will collaborate with internal stakeholders, executive leaders, and third-party suppliers to deliver secure, scalable, and compliant technology services.
About the department:
All of Jigsaw's essential services rely on quality information, systems and technology supported by the 50 members of the IT department. Working to a brand-new IT Strategy, the team has exciting challenges like enabling colleagues to work effectively from anywhere, automating processes and improving digital services for our customers, whilst always improving security.
The team is also innovating in its ways of working, ensuring transparency, a keen focus on outcomes and faster delivery of benefits to the business.
Who we are:
Jigsaw Homes Group is one of the largest housing groups in England with more than 37,500 homes across the North West and East Midlands.
We provide quality, low-cost housing and play a wider role in making sure our residents thrive in their homes and benefit from living in healthy, sustainable communities.
Why Join Jigsaw?
Jigsaw Homes Group offers employees a very competitive 24 days holiday per annum, plus 3 days for Christmas closure (5 day working week) plus bank holidays, plus additional days after 2 years continuous service (to a maximum of 5 days).
We offer our employees the option to buy/sell up to 5 days extra leave per year and we offer compressed hours of work with the option to work a 4-day working week in a number of our roles, with 50% of your time working from home upon completion of a satisfactory probation period. This allows for a great work/life balance for many employees.
As a Jigsaw employee you will also receive incremental salaried pay, occupational sick pay, access to access to the Social Housing Pension Scheme, enhanced maternity/paternity leave, BHSF membership, access to on-site gyms and training/development opportunities.
If this sounds like the perfect job for you then don’t hesitate to apply now!
About Us
Evolve is a trusted Managed Service Provider (MSP) supporting a diverse customer base across the UK and internationally. Our clients span Renewable Energy, Property, Professional Services, Finance, and Charity.
Our core values — Security, Service, Integrity — guide everything we do. We deliver robust IT services and cybersecurity solutions , keeping our clients’ systems safe in an evolving digital landscape.
We’re a growing business with a clear plan to expand our capabilities and strengthen our presence in the IT industry. We invest in our people, offering professional development and a culture that values both technical excellence and customer care.
Why Join Us?
This is an exciting opportunity to step into a key Account Management role where you’ll be the trusted advisor to our clients, ensuring their success while identifying opportunities for growth. You’ll work with supportive technical teams, develop your expertise in cybersecurity, and help shape long-term customer relationships.
The Role
As an IT Account Manager, you’ll:
Build and maintain exceptional client relationships.
Conduct regular customer meetings and strategic reviews.
Translate technical concepts (especially cyber protection) into business value.
Manage customer roadmaps and ensure smooth onboarding.
Proactively identify upsell and project opportunities.
Advocate for clients internally, ensuring their needs are met.
What We’re Looking For
Proven Account Management experience in IT (MSP experience highly desirable).
Strong knowledge of Microsoft 365, Office, Windows, and Windows Server.
Good understanding of cybersecurity fundamentals (firewalls, endpoint protection, phishing, compliance frameworks).
Familiarity with PSA and monitoring tools (Autotask, N-able).
Consultative sales mindset with ability to spot opportunities.
Excellent communication, presentation, and relationship-building skills.
Highly organised, proactive, and detail-focused.
What We Offer
Competitive salary + performance bonus/commission.
Training and career development (including cyber certifications).
Hybrid/flexible working options.
Supportive, values-led culture.
Opportunity to grow with a forward-thinking MSP.
If you’re passionate about customer success, account management, and IT services , we’d love to hear from you. Apply today and help our clients succeed securely and sustainably.
18/09/2025
Full time
About Us
Evolve is a trusted Managed Service Provider (MSP) supporting a diverse customer base across the UK and internationally. Our clients span Renewable Energy, Property, Professional Services, Finance, and Charity.
Our core values — Security, Service, Integrity — guide everything we do. We deliver robust IT services and cybersecurity solutions , keeping our clients’ systems safe in an evolving digital landscape.
We’re a growing business with a clear plan to expand our capabilities and strengthen our presence in the IT industry. We invest in our people, offering professional development and a culture that values both technical excellence and customer care.
Why Join Us?
This is an exciting opportunity to step into a key Account Management role where you’ll be the trusted advisor to our clients, ensuring their success while identifying opportunities for growth. You’ll work with supportive technical teams, develop your expertise in cybersecurity, and help shape long-term customer relationships.
The Role
As an IT Account Manager, you’ll:
Build and maintain exceptional client relationships.
Conduct regular customer meetings and strategic reviews.
Translate technical concepts (especially cyber protection) into business value.
Manage customer roadmaps and ensure smooth onboarding.
Proactively identify upsell and project opportunities.
Advocate for clients internally, ensuring their needs are met.
What We’re Looking For
Proven Account Management experience in IT (MSP experience highly desirable).
Strong knowledge of Microsoft 365, Office, Windows, and Windows Server.
Good understanding of cybersecurity fundamentals (firewalls, endpoint protection, phishing, compliance frameworks).
Familiarity with PSA and monitoring tools (Autotask, N-able).
Consultative sales mindset with ability to spot opportunities.
Excellent communication, presentation, and relationship-building skills.
Highly organised, proactive, and detail-focused.
What We Offer
Competitive salary + performance bonus/commission.
Training and career development (including cyber certifications).
Hybrid/flexible working options.
Supportive, values-led culture.
Opportunity to grow with a forward-thinking MSP.
If you’re passionate about customer success, account management, and IT services , we’d love to hear from you. Apply today and help our clients succeed securely and sustainably.
Acorn Insurance and Financial Services Limited
Liverpool
We are looking for an innovative, broadly experienced all round developer with demonstrable business acumen and team leadership skills, to act as the main technical point to drive forward technical solutions as required for our Private Lines division (Private Car and Commercial Vehicle). Much of this will be web based and / or mobile solutions.
The Technical Lead requires direct working relationships with key business owners, their proxies and project managers responsible for driving forward a particular business division
A successful candidate may be more highly front end or more back end experienced – which is OK, but you must have actively contributed to complex product development solutions with full engagement across multiple areas of technical specialism so is able to fully understand the roles, relationships and dependencies that each of each of these disciplines characterise.
Job Title: Technical Business Lead
Working Hours: 37.5 hours per week, Monday to Friday
Location: Liverpool City Centre, Hybrid working available
Salary: £70,000-£85,000 DOE
What you will be doing:
Developing new and enhancing existing user-facing solutions
Providing technical guidance, decision making and leadership of a delivery team comprising product owners, BA’s, PM’s, front end devs, back end dev, database developers, digital analysts, QA technicians
Ensuring DevOps Epics, pbi’s, tasks, feature flagging, Assurance criteria and all testing strategies align with company standards
Ensuring system are well documented and tested for resilience / failover / auto scaling as specified
Building reusable components and front-end libraries for future use.
Ensuring high quality software product delivery to timescales with reliable estimates and actual effort recorded
Work with multiple internal stakeholders to ensure common understanding of technical approaches to architecture and implementation
Collaborating with all other technical teams proactively and with consideration of priorities and workloads, working collaboratively in a multi disciplinary team to reach team goals
Ensure mandated ‘core systems’ upgrades are appropriately managed
Liaise with 3rd parties as appropriate depending on product requirements
Provide BAU bug handling, hot fix deployment as and when required
Putting security and performance at the heart of all products and processes
What we are looking for:
Capable of advising on modern, secure, technical solutions to achieve product owner goals
Highly proficient in either front end or back end modern technology tooling and coding standards, especially react, react Native, Next JS, C# dot Net, Event driven systems, Azure Devops, SOLID and clean architecture patterns
Ability to understand business requirements and translate them into technical requirements
Backed C#, dotNET, VS Core development
Thorough understanding of front end typescript frameworks and core principles
Solid understanding of modern specifications when developing components.
Experience with the React Material UI Framework and an eye for design and understanding UI/UX practices
Experience working with REST APIs and webhooks
Knowledge of Docker and Docker Compose
Strong development experience in microservice based enterprise architecture, SOLID principles, clean architecture, Azure service Bus, RabbitMQ, Mass transit, MediatR
Knowledge of modern authorization mechanisms, such as JSON Web Token, OAuth etc
Familiarity with modern front-end build pipelines and tools
Understanding of popular front-end development tools such as Yarn, Webpack, Vitjs, StoryBook, Jest, Eslint, Prettier, Husky, etc.
Good awareness of logging and alerting strategies and tooling (e.g. loki/Grafana)
Familiarity with code versioning tools such as Git
Good understanding of Google Adwords, GLCID’s, Tag Manager for tracking conversion
Solid experience of CI/CD pipelines in DevOps
About Acorn Insurance With over 40 years of experience, Acorn Insurance is a specialist provider dedicated to helping individuals secure motor insurance across the UK. We proudly serve more than 50,000 customers, ensuring they find policies that meet their needs and provide the peace of mind that comes with high-quality cover.
At Acorn Insurance, we offer comprehensive training and continuous in-house coaching. You'll receive in-depth, FCA-regulated industry knowledge and all the tools necessary to grow your career with us.
We celebrate diversity and are committed to fostering a culture where everyone feels respected and valued. As a Disability Confident Level 1 and Level 2 employer, we ensure our workplace is accessible and inclusive, encouraging our people to bring their best selves to work every day.
The Acorn Group has been recognised as a Great Place to Work for 2024/5. A record number of employees participated in our survey, overwhelmingly highlighting our welcoming and supportive atmosphere as an excellent place to build a career. We are committed to continuous improvement and have ambitious plans for 2025.
Why Acorn Insurance? Acorn Insurance want to give you more than a job, we want to give you a purpose and a career. So, what can we offer you as an employer? Some of the "your tomorrow" benefits you will receive include: Wellbeing:
Enhanced Annual Leave entitlement starting at 31 days and potentially increasing to 35 days per year depending on grade & length of service (including bank holidays)
Enhanced paternity pay and 16 weeks full maternity pay.
Colleague Assistance programme offers a suite of wellbeing services such as:
6 Free Counselling sessions per year
Unlimited access to a telephone councillor 24/7
Access to a free 4-week programme of cognitive behavioural therapy (CBT) with a trained therapist mentor.
Network of internal qualified mental health first aiders are available to provide support to colleagues.
Financial:
A core level of life assurance with the option to increase cover via salary sacrifice and add your spouse/partner
Ability to access your earnings before payday via Dayforce Wallet.
Company pension scheme
Refer a friend scheme with a £250 bonus for every colleague recommended on passing their probation period.
Access to a flexible benefits platform including an annual flex pot allowance to spend on over 15 benefits of your choice.
Ability to give back. You can opt into donating money to charity to climate positive organisations directly from your salary.
Reward, Recognition and Culture :
Long Service Award paid on 5,10- and 15-years’ service
A reward and recognition hub to celebrate and reward colleagues and peers.
Consistent and engaging company events including company awards, competitions and charity fundraisers.
Budgets for department leaders to use for social and engagement events. Please visit out website to view more of our excellent work benefits!
All roles are subject to DBS and Financial checks, any offer made will be conditional until checks are completed to a satisfactory standard. Unfortunately, due to the length of training and complexity of the role, we can only accept applications from candidates who have at least one year remaining on their (Graduate/ Post study work) visa. Unfortunately, we are unable to provide visa sponsorships. At Acorn, we are committed to creating an inclusive and supportive work environment. We recognise that candidates may have specific needs and are happy to consider reasonable adjustments to the recruitment process and working environment to accommodate individual requirements. Whether it’s modifying equipment, adjusting working hours, or providing additional support, we aim to ensure all employees can perform at their best. If you require any reasonable adjustments, please let us know during the application or interview process, and we will work with you to ensure your needs are met.
25/04/2025
Full time
We are looking for an innovative, broadly experienced all round developer with demonstrable business acumen and team leadership skills, to act as the main technical point to drive forward technical solutions as required for our Private Lines division (Private Car and Commercial Vehicle). Much of this will be web based and / or mobile solutions.
The Technical Lead requires direct working relationships with key business owners, their proxies and project managers responsible for driving forward a particular business division
A successful candidate may be more highly front end or more back end experienced – which is OK, but you must have actively contributed to complex product development solutions with full engagement across multiple areas of technical specialism so is able to fully understand the roles, relationships and dependencies that each of each of these disciplines characterise.
Job Title: Technical Business Lead
Working Hours: 37.5 hours per week, Monday to Friday
Location: Liverpool City Centre, Hybrid working available
Salary: £70,000-£85,000 DOE
What you will be doing:
Developing new and enhancing existing user-facing solutions
Providing technical guidance, decision making and leadership of a delivery team comprising product owners, BA’s, PM’s, front end devs, back end dev, database developers, digital analysts, QA technicians
Ensuring DevOps Epics, pbi’s, tasks, feature flagging, Assurance criteria and all testing strategies align with company standards
Ensuring system are well documented and tested for resilience / failover / auto scaling as specified
Building reusable components and front-end libraries for future use.
Ensuring high quality software product delivery to timescales with reliable estimates and actual effort recorded
Work with multiple internal stakeholders to ensure common understanding of technical approaches to architecture and implementation
Collaborating with all other technical teams proactively and with consideration of priorities and workloads, working collaboratively in a multi disciplinary team to reach team goals
Ensure mandated ‘core systems’ upgrades are appropriately managed
Liaise with 3rd parties as appropriate depending on product requirements
Provide BAU bug handling, hot fix deployment as and when required
Putting security and performance at the heart of all products and processes
What we are looking for:
Capable of advising on modern, secure, technical solutions to achieve product owner goals
Highly proficient in either front end or back end modern technology tooling and coding standards, especially react, react Native, Next JS, C# dot Net, Event driven systems, Azure Devops, SOLID and clean architecture patterns
Ability to understand business requirements and translate them into technical requirements
Backed C#, dotNET, VS Core development
Thorough understanding of front end typescript frameworks and core principles
Solid understanding of modern specifications when developing components.
Experience with the React Material UI Framework and an eye for design and understanding UI/UX practices
Experience working with REST APIs and webhooks
Knowledge of Docker and Docker Compose
Strong development experience in microservice based enterprise architecture, SOLID principles, clean architecture, Azure service Bus, RabbitMQ, Mass transit, MediatR
Knowledge of modern authorization mechanisms, such as JSON Web Token, OAuth etc
Familiarity with modern front-end build pipelines and tools
Understanding of popular front-end development tools such as Yarn, Webpack, Vitjs, StoryBook, Jest, Eslint, Prettier, Husky, etc.
Good awareness of logging and alerting strategies and tooling (e.g. loki/Grafana)
Familiarity with code versioning tools such as Git
Good understanding of Google Adwords, GLCID’s, Tag Manager for tracking conversion
Solid experience of CI/CD pipelines in DevOps
About Acorn Insurance With over 40 years of experience, Acorn Insurance is a specialist provider dedicated to helping individuals secure motor insurance across the UK. We proudly serve more than 50,000 customers, ensuring they find policies that meet their needs and provide the peace of mind that comes with high-quality cover.
At Acorn Insurance, we offer comprehensive training and continuous in-house coaching. You'll receive in-depth, FCA-regulated industry knowledge and all the tools necessary to grow your career with us.
We celebrate diversity and are committed to fostering a culture where everyone feels respected and valued. As a Disability Confident Level 1 and Level 2 employer, we ensure our workplace is accessible and inclusive, encouraging our people to bring their best selves to work every day.
The Acorn Group has been recognised as a Great Place to Work for 2024/5. A record number of employees participated in our survey, overwhelmingly highlighting our welcoming and supportive atmosphere as an excellent place to build a career. We are committed to continuous improvement and have ambitious plans for 2025.
Why Acorn Insurance? Acorn Insurance want to give you more than a job, we want to give you a purpose and a career. So, what can we offer you as an employer? Some of the "your tomorrow" benefits you will receive include: Wellbeing:
Enhanced Annual Leave entitlement starting at 31 days and potentially increasing to 35 days per year depending on grade & length of service (including bank holidays)
Enhanced paternity pay and 16 weeks full maternity pay.
Colleague Assistance programme offers a suite of wellbeing services such as:
6 Free Counselling sessions per year
Unlimited access to a telephone councillor 24/7
Access to a free 4-week programme of cognitive behavioural therapy (CBT) with a trained therapist mentor.
Network of internal qualified mental health first aiders are available to provide support to colleagues.
Financial:
A core level of life assurance with the option to increase cover via salary sacrifice and add your spouse/partner
Ability to access your earnings before payday via Dayforce Wallet.
Company pension scheme
Refer a friend scheme with a £250 bonus for every colleague recommended on passing their probation period.
Access to a flexible benefits platform including an annual flex pot allowance to spend on over 15 benefits of your choice.
Ability to give back. You can opt into donating money to charity to climate positive organisations directly from your salary.
Reward, Recognition and Culture :
Long Service Award paid on 5,10- and 15-years’ service
A reward and recognition hub to celebrate and reward colleagues and peers.
Consistent and engaging company events including company awards, competitions and charity fundraisers.
Budgets for department leaders to use for social and engagement events. Please visit out website to view more of our excellent work benefits!
All roles are subject to DBS and Financial checks, any offer made will be conditional until checks are completed to a satisfactory standard. Unfortunately, due to the length of training and complexity of the role, we can only accept applications from candidates who have at least one year remaining on their (Graduate/ Post study work) visa. Unfortunately, we are unable to provide visa sponsorships. At Acorn, we are committed to creating an inclusive and supportive work environment. We recognise that candidates may have specific needs and are happy to consider reasonable adjustments to the recruitment process and working environment to accommodate individual requirements. Whether it’s modifying equipment, adjusting working hours, or providing additional support, we aim to ensure all employees can perform at their best. If you require any reasonable adjustments, please let us know during the application or interview process, and we will work with you to ensure your needs are met.
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
Business Development Manager - Sponsorship £40,000 - £55,000 + Uncapped Commission + Excellent Benefits Hybrid Industry leading media events business seeks a highly driven, results focused sponsorship sales manager to join their sales team in the role of Sponsorship Sales Manager - b2b events. The Business Development Manager role focuses on selling sponsorship solutions across our client's events, newsletters, webinars and various other commercial channels. Our client offers excellent career progression routes to leadership as well as a best in class training support structure. Candidate Profile: Minimum of 2 years experience in event sponsorship Ideally degree educated Demonstrated success in achieving excellent / consistent revenue results. Highly organised, with the ability to effectively prioritise and manage time to maximize productivity and achieve goals. High emotional intelligence, skilled in building and sustaining strong relationships with both internal and external stakeholders. Highly consultative sales approach Personable and enthusiastic, with a proactive, solutions oriented approach a true team player committed to collective success. L ipton Media is a specialist media recruitment agency based in London. We specialise in all forms of b2b media sales including conferences, exhibitions, awards, summits, publishing, digital, outdoor, TV, radio and business intelligence. Our clients range from small start-up companies to FTSE 100 and 250 businesses. We work with people at every stage of their career from undergraduates looking for their first entry point into sales to senior managers and directors looking for their next challenge.
03/03/2026
Full time
Business Development Manager - Sponsorship £40,000 - £55,000 + Uncapped Commission + Excellent Benefits Hybrid Industry leading media events business seeks a highly driven, results focused sponsorship sales manager to join their sales team in the role of Sponsorship Sales Manager - b2b events. The Business Development Manager role focuses on selling sponsorship solutions across our client's events, newsletters, webinars and various other commercial channels. Our client offers excellent career progression routes to leadership as well as a best in class training support structure. Candidate Profile: Minimum of 2 years experience in event sponsorship Ideally degree educated Demonstrated success in achieving excellent / consistent revenue results. Highly organised, with the ability to effectively prioritise and manage time to maximize productivity and achieve goals. High emotional intelligence, skilled in building and sustaining strong relationships with both internal and external stakeholders. Highly consultative sales approach Personable and enthusiastic, with a proactive, solutions oriented approach a true team player committed to collective success. L ipton Media is a specialist media recruitment agency based in London. We specialise in all forms of b2b media sales including conferences, exhibitions, awards, summits, publishing, digital, outdoor, TV, radio and business intelligence. Our clients range from small start-up companies to FTSE 100 and 250 businesses. We work with people at every stage of their career from undergraduates looking for their first entry point into sales to senior managers and directors looking for their next challenge.
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.
