ICT Solution Architect (Applications) - DV Cleared Location: London (Hybrid - 3 days onsite) Rate: 650 - 701 per day (Umbrella) Contract: Long-term Contract Clearance: Active DV Clearance Required We are seeking an experienced ICT Solution Architect to support a major secure technology programme within a complex enterprise environment. This is a senior architecture-led role requiring a strong hands-on engineering background combined with excellent stakeholder and governance capabilities. You will be responsible for designing secure, resilient technical solutions across multiple projects, translating business requirements into scalable architectures, and providing oversight across engineering delivery teams. Key Responsibilities Produce ?As-Is? and ?To-Be? solution designs Lead architecture and technical governance activities Create technical documentation and architecture diagrams Support engineering delivery across multiple programmes Manage technical stakeholders and supplier relationships Identify architectural dependencies and technical risks Required Experience Strong Solution Architecture background Previous hands-on software engineering experience Expertise across: .NET / ASP.NET / .NET Core SQL Server & NoSQL technologies AWS and/or Azure Linux, networking and virtualisation Experience with TOGAF, Agile and ITIL environments Ability to work within highly secure environments Essential Requirement Candidates must hold active transferable DV clearance with a minimum of 12 months remaining validity. This is an excellent opportunity to work on high-profile, nationally significant technology programmes within a secure environment. We can only consider applications from those eligible to work in the UK for this position. This position will require some additional checks, to ensure you can access the site worked as needed. For more information on this position, please contact Marika Powell at ARM on (phone number removed) or email your CV and covering letter to . Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
May 20, 2026
Contractor
ICT Solution Architect (Applications) - DV Cleared Location: London (Hybrid - 3 days onsite) Rate: 650 - 701 per day (Umbrella) Contract: Long-term Contract Clearance: Active DV Clearance Required We are seeking an experienced ICT Solution Architect to support a major secure technology programme within a complex enterprise environment. This is a senior architecture-led role requiring a strong hands-on engineering background combined with excellent stakeholder and governance capabilities. You will be responsible for designing secure, resilient technical solutions across multiple projects, translating business requirements into scalable architectures, and providing oversight across engineering delivery teams. Key Responsibilities Produce ?As-Is? and ?To-Be? solution designs Lead architecture and technical governance activities Create technical documentation and architecture diagrams Support engineering delivery across multiple programmes Manage technical stakeholders and supplier relationships Identify architectural dependencies and technical risks Required Experience Strong Solution Architecture background Previous hands-on software engineering experience Expertise across: .NET / ASP.NET / .NET Core SQL Server & NoSQL technologies AWS and/or Azure Linux, networking and virtualisation Experience with TOGAF, Agile and ITIL environments Ability to work within highly secure environments Essential Requirement Candidates must hold active transferable DV clearance with a minimum of 12 months remaining validity. This is an excellent opportunity to work on high-profile, nationally significant technology programmes within a secure environment. We can only consider applications from those eligible to work in the UK for this position. This position will require some additional checks, to ensure you can access the site worked as needed. For more information on this position, please contact Marika Powell at ARM on (phone number removed) or email your CV and covering letter to . Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Senior DevOps Consultant - Contract Remote (occasional travel to Leeds - 1-2 days per month) 470 per day inside IR35 Clearance: BPSS 3 months rolling We are currently seeking an experienced Senior DevOps Consultant to support the recovery and delivery of a critical digital programme. This role will focus on revitalising a stalled project through a structured, outcome-driven approach. Role Overview The engagement will follow a two-phase delivery model: Phase 1 - Discovery & Validation (Initial 4 weeks): Conduct a comprehensive audit of technical debt Align stakeholders and assess governance and compliance gaps Review platform security and operational setup Develop a roadmap for a Minimum Viable Product (MVP) Phase 2 - Recovery & Delivery Plan: Present a clear recovery strategy outlining what to stop, start, and continue Drive technical readiness for Beta assessment Prioritise API development using a risk-based approach Establish a sustainable operating model for long-term delivery Key Responsibilities Implement and manage Infrastructure as Code (IaC) solutions Build and optimise CI/CD pipelines Enhance platform observability and monitoring Drive secure, scalable cloud platform delivery Ensure environments meet compliance and governance standards Required Skills & Experience Strong experience with Azure DevOps at scale Expertise in Terraform , Azure DevOps / GitHub Actions Knowledge of Azure Monitor, Key Vault, and networking (Private Endpoints) Proven background in cloud security, CI/CD, observability, and deployment automation Experience delivering within secure and regulated environments (e.g. government / healthcare) Success Criteria Delivery of a secure, scalable platform aligned to government and GDPR standards Strong data integrity and security controls Performance readiness for public Beta at scale Accessibility compliance aligned to WCAG 2.1 AA standards
May 20, 2026
Contractor
Senior DevOps Consultant - Contract Remote (occasional travel to Leeds - 1-2 days per month) 470 per day inside IR35 Clearance: BPSS 3 months rolling We are currently seeking an experienced Senior DevOps Consultant to support the recovery and delivery of a critical digital programme. This role will focus on revitalising a stalled project through a structured, outcome-driven approach. Role Overview The engagement will follow a two-phase delivery model: Phase 1 - Discovery & Validation (Initial 4 weeks): Conduct a comprehensive audit of technical debt Align stakeholders and assess governance and compliance gaps Review platform security and operational setup Develop a roadmap for a Minimum Viable Product (MVP) Phase 2 - Recovery & Delivery Plan: Present a clear recovery strategy outlining what to stop, start, and continue Drive technical readiness for Beta assessment Prioritise API development using a risk-based approach Establish a sustainable operating model for long-term delivery Key Responsibilities Implement and manage Infrastructure as Code (IaC) solutions Build and optimise CI/CD pipelines Enhance platform observability and monitoring Drive secure, scalable cloud platform delivery Ensure environments meet compliance and governance standards Required Skills & Experience Strong experience with Azure DevOps at scale Expertise in Terraform , Azure DevOps / GitHub Actions Knowledge of Azure Monitor, Key Vault, and networking (Private Endpoints) Proven background in cloud security, CI/CD, observability, and deployment automation Experience delivering within secure and regulated environments (e.g. government / healthcare) Success Criteria Delivery of a secure, scalable platform aligned to government and GDPR standards Strong data integrity and security controls Performance readiness for public Beta at scale Accessibility compliance aligned to WCAG 2.1 AA standards
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
Chief Technology & Operations Officer (CTOO) / Technology & Operations Director Location: Coventry (Hybrid) Salary: 80,000- 100,000 DOE Please note: Sponsorship is not available for this position. Join a Growing Technology Business Where You Can Truly Make an Impact We're partnering with an ambitious and growing technology company looking for a commercially minded, hands-on technology leader to take ownership of both software delivery and IT operations across the business. This is a rare opportunity to join a smaller organisation where your influence will genuinely shape the future direction of technology, operations, delivery, and customer outcomes. You'll work closely with the executive team, helping drive strategic decisions while remaining close enough to the technology to guide teams, solve problems, and improve delivery standards. We're looking for someone who enjoys building structure in fast-paced environments, thrives on solving operational challenges, and still has the technical depth to engage with engineering teams and architecture decisions when required. The Role As CTOO / Technology & Operations Director, you'll oversee the operational effectiveness of software development, infrastructure, and technical services across the organisation's application estate. You'll act as the bridge between commercial teams, customers, developers, and IT services - ensuring priorities are aligned, delivery remains controlled, and systems stay secure, stable, and scalable. This role combines strategic leadership with practical execution. You'll be expected to roll your sleeves up when needed, support critical decision-making, and help teams deliver effectively with limited resources. Key Responsibilities Technology & Operational Leadership Lead the development and IT services functions across the business Ensure applications and platforms are delivered, maintained, and supported effectively Drive operational stability, resilience, and continuous improvement Balance long-term strategy with day-to-day execution Hands-On Technical Leadership Provide guidance across software delivery, infrastructure, DevOps, and architecture Support teams with technical decision-making and delivery planning Maintain oversight of cloud infrastructure, databases, environments, and security controls Act as a senior escalation point during incidents or critical operational issues Executive Delivery & Prioritisation Translate executive and customer requirements into achievable delivery plans Manage competing priorities across development and IT operations Clearly communicate risks, trade-offs, and delivery expectations Cross-Functional Collaboration Work closely with sales, commercial, product, and operational teams Support customer-facing technical discussions and solution planning Improve collaboration between technical and non-technical stakeholders Governance, Security & Compliance Ensure strong governance, policies, and operational procedures are in place Support ISO9001 / ISO27001 aligned processes and customer audit requirements Maintain focus on GDPR, cybersecurity, resilience, and risk management What We're Looking For Essential Experience Proven leadership across software engineering and IT operations/infrastructure Experience working in smaller or growing businesses where adaptability is key Strong hands-on technical understanding with the ability to engage at engineering level Experience managing software delivery, technical operations, and cross-functional teams Strong understanding of Agile delivery, DevOps, CI/CD, and modern software practices Experience with cloud platforms such as AWS, Azure, or GCP Knowledge of databases including MS SQL and/or Oracle Experience managing incidents, operational risk, and technical escalations Desirable Background Computer Science, Engineering, or similar technical background Experience with architecture or solution design Exposure to sectors such as Construction, Utilities, Retail, Logistics, Manufacturing, Insurance, or B2B technology services Personal Attributes Commercially aware and pragmatic Calm under pressure with strong problem-solving ability Comfortable making decisions and driving accountability Able to communicate effectively with both technical teams and senior stakeholders Hands-on, approachable, and delivery focused What Success Looks Like Within your first 6-12 months, you'll have: Improved operational stability and delivery visibility Established clearer prioritisation across development and IT services Strengthened collaboration between technical and commercial teams Improved governance, documentation, and compliance readiness Built empowered teams with strong accountability and ownership Package 80,000- 100,000 salary depending on experience Hybrid working model Opportunity to shape technology strategy within a growing business High level of ownership and autonomy Collaborative and fast-moving environment where your contribution matters
May 20, 2026
Full time
Chief Technology & Operations Officer (CTOO) / Technology & Operations Director Location: Coventry (Hybrid) Salary: 80,000- 100,000 DOE Please note: Sponsorship is not available for this position. Join a Growing Technology Business Where You Can Truly Make an Impact We're partnering with an ambitious and growing technology company looking for a commercially minded, hands-on technology leader to take ownership of both software delivery and IT operations across the business. This is a rare opportunity to join a smaller organisation where your influence will genuinely shape the future direction of technology, operations, delivery, and customer outcomes. You'll work closely with the executive team, helping drive strategic decisions while remaining close enough to the technology to guide teams, solve problems, and improve delivery standards. We're looking for someone who enjoys building structure in fast-paced environments, thrives on solving operational challenges, and still has the technical depth to engage with engineering teams and architecture decisions when required. The Role As CTOO / Technology & Operations Director, you'll oversee the operational effectiveness of software development, infrastructure, and technical services across the organisation's application estate. You'll act as the bridge between commercial teams, customers, developers, and IT services - ensuring priorities are aligned, delivery remains controlled, and systems stay secure, stable, and scalable. This role combines strategic leadership with practical execution. You'll be expected to roll your sleeves up when needed, support critical decision-making, and help teams deliver effectively with limited resources. Key Responsibilities Technology & Operational Leadership Lead the development and IT services functions across the business Ensure applications and platforms are delivered, maintained, and supported effectively Drive operational stability, resilience, and continuous improvement Balance long-term strategy with day-to-day execution Hands-On Technical Leadership Provide guidance across software delivery, infrastructure, DevOps, and architecture Support teams with technical decision-making and delivery planning Maintain oversight of cloud infrastructure, databases, environments, and security controls Act as a senior escalation point during incidents or critical operational issues Executive Delivery & Prioritisation Translate executive and customer requirements into achievable delivery plans Manage competing priorities across development and IT operations Clearly communicate risks, trade-offs, and delivery expectations Cross-Functional Collaboration Work closely with sales, commercial, product, and operational teams Support customer-facing technical discussions and solution planning Improve collaboration between technical and non-technical stakeholders Governance, Security & Compliance Ensure strong governance, policies, and operational procedures are in place Support ISO9001 / ISO27001 aligned processes and customer audit requirements Maintain focus on GDPR, cybersecurity, resilience, and risk management What We're Looking For Essential Experience Proven leadership across software engineering and IT operations/infrastructure Experience working in smaller or growing businesses where adaptability is key Strong hands-on technical understanding with the ability to engage at engineering level Experience managing software delivery, technical operations, and cross-functional teams Strong understanding of Agile delivery, DevOps, CI/CD, and modern software practices Experience with cloud platforms such as AWS, Azure, or GCP Knowledge of databases including MS SQL and/or Oracle Experience managing incidents, operational risk, and technical escalations Desirable Background Computer Science, Engineering, or similar technical background Experience with architecture or solution design Exposure to sectors such as Construction, Utilities, Retail, Logistics, Manufacturing, Insurance, or B2B technology services Personal Attributes Commercially aware and pragmatic Calm under pressure with strong problem-solving ability Comfortable making decisions and driving accountability Able to communicate effectively with both technical teams and senior stakeholders Hands-on, approachable, and delivery focused What Success Looks Like Within your first 6-12 months, you'll have: Improved operational stability and delivery visibility Established clearer prioritisation across development and IT services Strengthened collaboration between technical and commercial teams Improved governance, documentation, and compliance readiness Built empowered teams with strong accountability and ownership Package 80,000- 100,000 salary depending on experience Hybrid working model Opportunity to shape technology strategy within a growing business High level of ownership and autonomy Collaborative and fast-moving environment where your contribution matters
Excellent opportunity for a Senior Software Developer to play a key role in architecting, developing, and enhancing our clients in-house trading and research systems. This is an opportunity to work on greenfield projects, influence architectural decisions, and directly impact systems that support real-world trading strategies. As a senior member of the team, you will contribute both technically and strategically, helping shape development standards, performance optimisation, and system scalability. You will primarily work within a C# .NET SQL Server ASP.NET ecosystem, developing high-performance, reliable, and maintainable applications. Key Responsibilities Design, develop, and maintain high-performance applications in C# and .NET Lead architectural discussions and contribute to technical direction Build scalable, reliable systems to support automated trading and research Develop and optimise database solutions (SQL Server or equivalent) Improve performance, reliability, and automation across systems Mentor junior developers and promote best engineering practices Participate in code reviews and enforce high standards of quality Collaborate closely with researchers and traders to translate requirements into robust software solutions Contribute to continuous improvement of development processes and tooling Required Skills & Experience BSc (or higher) in Computer Science or a related scientific discipline Strong recent experience with C# and the latest .NET platform 5+ years of professional software development experience Solid experience with SQL Server, Oracle, or equivalent relational databases Strong understanding of object-oriented design principles and software architecture Experience building production-grade, scalable systems Fluency in English with excellent written and verbal communication skills High attention to detail and a thorough, analytical mindset Desirable Experience in multi-threaded and concurrent application development Network programming experience (TCP/UDP) Experience with distributed version control systems (Git) Strong understanding of Windows technologies Exposure to financial markets or trading systems Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
May 20, 2026
Full time
Excellent opportunity for a Senior Software Developer to play a key role in architecting, developing, and enhancing our clients in-house trading and research systems. This is an opportunity to work on greenfield projects, influence architectural decisions, and directly impact systems that support real-world trading strategies. As a senior member of the team, you will contribute both technically and strategically, helping shape development standards, performance optimisation, and system scalability. You will primarily work within a C# .NET SQL Server ASP.NET ecosystem, developing high-performance, reliable, and maintainable applications. Key Responsibilities Design, develop, and maintain high-performance applications in C# and .NET Lead architectural discussions and contribute to technical direction Build scalable, reliable systems to support automated trading and research Develop and optimise database solutions (SQL Server or equivalent) Improve performance, reliability, and automation across systems Mentor junior developers and promote best engineering practices Participate in code reviews and enforce high standards of quality Collaborate closely with researchers and traders to translate requirements into robust software solutions Contribute to continuous improvement of development processes and tooling Required Skills & Experience BSc (or higher) in Computer Science or a related scientific discipline Strong recent experience with C# and the latest .NET platform 5+ years of professional software development experience Solid experience with SQL Server, Oracle, or equivalent relational databases Strong understanding of object-oriented design principles and software architecture Experience building production-grade, scalable systems Fluency in English with excellent written and verbal communication skills High attention to detail and a thorough, analytical mindset Desirable Experience in multi-threaded and concurrent application development Network programming experience (TCP/UDP) Experience with distributed version control systems (Git) Strong understanding of Windows technologies Exposure to financial markets or trading systems Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
We're looking for an Infrastructure & Security Engineer to act as a Senior within a growing, evolving technology estate at a pivotal point in its journey. This is a role with real substance. The foundations are in place, but there's a clear opportunity to shape, mature and lead across infrastructure, cloud, security, and supplier management. The Opportunity You'll be stepping into an established team to provide technical guidance whilst remaining hands on yourself. You'll play a key role in: Strengthening security practices and making better use of existing tooling Bringing structure to infrastructure and cloud operations Improving resilience, documentation, and disaster recovery capability Working with the Head of Operations to take back control from suppliers and ensuring quality service and better value for money Contributing to cloud and platform strategy (Azure-focused) The environment has a need for someone who can simplify, stabilise, and modernise. What You'll Be Doing Leading day-to-day infrastructure and platform operations (Azure, M365) Supporting the development of a team of 3 engineers - bringing structure, coaching, and accountability Owning operational security (patching, vulnerabilities, access controls, audits) Driving improvements in monitoring, backup, and disaster recovery Working closely with suppliers Supporting cloud journey decisions with technical knowledge Bringing greater visibility, documentation, and operational discipline This is a hands-on role, so you'll need to be comfortable being close to the tech while also stepping up as a Senior member of the team. What We're Looking For Strong infrastructure background with exposure to Azure and Microsoft stack Experience coaching or mentoring engineers in a hands-on environment Someone confident enough to challenge, but pragmatic in approach A people-focused leader who can bring a team with them Solid understanding of security fundamentals in an operational setting Experience working in multi-site environments Exposure to Azure services Logic Apps / Data Factory, or low/no-code tooling This role is part of an on-call rota which is currently 1 in 10 for P1 incidents This rota may be subject to change frequency given seniority. Permanent position Coventry based office Hybrid working - 2 days office, 3 days remote Salary £55,000 - £60,000 28 days holidays + Bank Holidays, holiday buy/sell scheme, company pension scheme, cycle to work scheme, death in service, employee assistance programme, occupational health provider service. We are an equal opportunity recruitment company. This means we welcome applications from all suitably qualified people regardless of race, sex, disability, religion, sexual orientation or age. We are particularly invested in Neurodiversity inclusion and offer reasonable adjustments in the interview process. Reasonable adjustments are changes that we can make in the interview process if your disability puts you at a disadvantage compared with others who are not disabled. If you would benefit from a reasonable adjustment in your interview process, please call or email one of our recruiters.
May 20, 2026
Full time
We're looking for an Infrastructure & Security Engineer to act as a Senior within a growing, evolving technology estate at a pivotal point in its journey. This is a role with real substance. The foundations are in place, but there's a clear opportunity to shape, mature and lead across infrastructure, cloud, security, and supplier management. The Opportunity You'll be stepping into an established team to provide technical guidance whilst remaining hands on yourself. You'll play a key role in: Strengthening security practices and making better use of existing tooling Bringing structure to infrastructure and cloud operations Improving resilience, documentation, and disaster recovery capability Working with the Head of Operations to take back control from suppliers and ensuring quality service and better value for money Contributing to cloud and platform strategy (Azure-focused) The environment has a need for someone who can simplify, stabilise, and modernise. What You'll Be Doing Leading day-to-day infrastructure and platform operations (Azure, M365) Supporting the development of a team of 3 engineers - bringing structure, coaching, and accountability Owning operational security (patching, vulnerabilities, access controls, audits) Driving improvements in monitoring, backup, and disaster recovery Working closely with suppliers Supporting cloud journey decisions with technical knowledge Bringing greater visibility, documentation, and operational discipline This is a hands-on role, so you'll need to be comfortable being close to the tech while also stepping up as a Senior member of the team. What We're Looking For Strong infrastructure background with exposure to Azure and Microsoft stack Experience coaching or mentoring engineers in a hands-on environment Someone confident enough to challenge, but pragmatic in approach A people-focused leader who can bring a team with them Solid understanding of security fundamentals in an operational setting Experience working in multi-site environments Exposure to Azure services Logic Apps / Data Factory, or low/no-code tooling This role is part of an on-call rota which is currently 1 in 10 for P1 incidents This rota may be subject to change frequency given seniority. Permanent position Coventry based office Hybrid working - 2 days office, 3 days remote Salary £55,000 - £60,000 28 days holidays + Bank Holidays, holiday buy/sell scheme, company pension scheme, cycle to work scheme, death in service, employee assistance programme, occupational health provider service. We are an equal opportunity recruitment company. This means we welcome applications from all suitably qualified people regardless of race, sex, disability, religion, sexual orientation or age. We are particularly invested in Neurodiversity inclusion and offer reasonable adjustments in the interview process. Reasonable adjustments are changes that we can make in the interview process if your disability puts you at a disadvantage compared with others who are not disabled. If you would benefit from a reasonable adjustment in your interview process, please call or email one of our recruiters.
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.
May 20, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 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.
Technical Sales Executive - Internal based Neath Port Talbot 27788/400 35,000 - 40,000 plus bonus, pension and more. Benefits Package: A starting salary of between 35,000 - 40,000 Annual bonus scheme Company pension scheme 22 days holidays plus bank holidays Part of a large International Group, this successful mechanical equipment based manufacturer leads the way in the supply of bespoke solutions to a wide and varied customer base. The business is R&D focused, highly innovative and has developed over 150 product variations for an ever growing list of customers. They have exciting growth plans to double the turnover over the next 5 years and are currently looking to recuit two internal based Technical Sales Executives to further support this growth. Role & Responsibilities: This is predominantly an internal, office based role, where you will work as part of a close knit team to: New business focussed, proactively driving sales to prospective product end users predominantly within the construction / built environment. Develop and implement strategic sales plans to achieve growth across various outreach channels (email, phone, virtual meetings, in-person visits). Identify and engage with decision-makers to generate new business opportunities, with a view of confirming short, medium and longer term sales agreements. Relationship Building and Client Management: Build and maintain strong, long-term relationships with new and existing clients, acting as the main point of contact for high-level stakeholders. Follow up on quotations and leads, ensuring a high conversion rate from enquiries to sales orders. Knowledge, Skills & Experience: Proven sales and business development experience, ideally for manufactured products into the built / construction industry. Internal Technical Sales experience for alternative manufactured products may also be considered. Ability to engage with senior-level decision-makers, build rapport, and present complex solutions. Experience using CRM systems to manage sales pipelines and reporting. For further information please email (url removed) If you are interested in this position please click 'apply'. Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors. Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
May 20, 2026
Full time
Technical Sales Executive - Internal based Neath Port Talbot 27788/400 35,000 - 40,000 plus bonus, pension and more. Benefits Package: A starting salary of between 35,000 - 40,000 Annual bonus scheme Company pension scheme 22 days holidays plus bank holidays Part of a large International Group, this successful mechanical equipment based manufacturer leads the way in the supply of bespoke solutions to a wide and varied customer base. The business is R&D focused, highly innovative and has developed over 150 product variations for an ever growing list of customers. They have exciting growth plans to double the turnover over the next 5 years and are currently looking to recuit two internal based Technical Sales Executives to further support this growth. Role & Responsibilities: This is predominantly an internal, office based role, where you will work as part of a close knit team to: New business focussed, proactively driving sales to prospective product end users predominantly within the construction / built environment. Develop and implement strategic sales plans to achieve growth across various outreach channels (email, phone, virtual meetings, in-person visits). Identify and engage with decision-makers to generate new business opportunities, with a view of confirming short, medium and longer term sales agreements. Relationship Building and Client Management: Build and maintain strong, long-term relationships with new and existing clients, acting as the main point of contact for high-level stakeholders. Follow up on quotations and leads, ensuring a high conversion rate from enquiries to sales orders. Knowledge, Skills & Experience: Proven sales and business development experience, ideally for manufactured products into the built / construction industry. Internal Technical Sales experience for alternative manufactured products may also be considered. Ability to engage with senior-level decision-makers, build rapport, and present complex solutions. Experience using CRM systems to manage sales pipelines and reporting. For further information please email (url removed) If you are interested in this position please click 'apply'. Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors. Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
IT Infrastructure Consultant - 40,000/ 50,000 - Scunthorpe (With Client Site Travel) Principal IT are working with an award-winning UK technology provider that delivers a range of business technology solutions including IT support, accounting software, and EPOS systems. With multiple offices across the UK and a strong reputation for delivering reliable technology solutions to businesses, the organisation is continuing to grow and is now looking to recruit an IT Infrastructure Consultant to join their Professional Services team. The Role As an IT Infrastructure Consultant, you will play a key role in designing and delivering reliable infrastructure solutions for customers. This is a hands-on technical role focused on implementing server and infrastructure environments that are secure, stable, and easy for customers to manage. You will work within established implementation frameworks to deploy Windows Server, virtualisation, networking, and backup solutions, helping organisations adopt new technology with minimal disruption to their operations. Projects typically range from 10-25 days in duration, and you will work closely with customers to ensure successful delivery and a smooth transition into ongoing support. Key Responsibilities Infrastructure Solution Design & Delivery Design and implement server and infrastructure solutions aligned to technical standards and best practices. Deliver deployments across Microsoft Windows Server and core infrastructure platforms. Implement virtualisation, networking, and backup solutions. Deliver multiple infrastructure projects simultaneously while maintaining quality and timelines. Produce clear and accurate technical documentation for each implementation. Client Engagement Work closely with customers to understand technical and operational requirements. Translate technical requirements into practical infrastructure solutions. Provide guidance and training to customer IT teams following implementation. Communicate technical information clearly to both technical and non-technical stakeholders. Project Delivery & Quality Assurance Ensure smooth handovers from project delivery into service support teams. Conduct post-implementation reviews to ensure successful outcomes. Maintain high standards of customer satisfaction and solution stability. Continuous Improvement Provide feedback to improve internal infrastructure standards and delivery frameworks. Identify opportunities to simplify and enhance infrastructure designs. Support mentoring of junior consultants within the team. Key Responsibilities (Day to Day) Deliver infrastructure projects on time and within scope Work with IT Project Managers to plan and manage project delivery Provide clear updates to both customers and internal stakeholders Produce high-quality documentation and handover materials Present technical updates to both technical teams and senior stakeholders Contribute to improving infrastructure solutions and internal processes Experience & Skills Essential 2+ years' experience in infrastructure, server, or technical consultancy roles Experience delivering server and infrastructure implementations Strong organisation and project delivery skills Excellent communication and stakeholder management skills A customer-focused and solution-driven approach Technical Experience Microsoft Windows Server environments Virtualisation platforms Networking infrastructure Backup and disaster recovery solutions Technical troubleshooting and infrastructure support Desirable Certifications Microsoft Windows Server certifications CompTIA A+ or Network+ Benefits Salary of 40,000 - 45,000 35-hour working week 36 days holiday (28 days + bank holidays) Business mileage reimbursed during probation (up to 45p per mile) Company vehicle or car allowance after successful probation Pension scheme Electric car scheme and bike to work scheme Enhanced maternity and paternity benefits Ongoing training and development plans Free lunches and regular staff events On-site parking Supportive and collaborative working environment If you are an experienced Infrastructure Engineer or Technical Consultant looking to step into a delivery-focused role with strong career development opportunities, we would love to hear from you. INDGH
May 20, 2026
Full time
IT Infrastructure Consultant - 40,000/ 50,000 - Scunthorpe (With Client Site Travel) Principal IT are working with an award-winning UK technology provider that delivers a range of business technology solutions including IT support, accounting software, and EPOS systems. With multiple offices across the UK and a strong reputation for delivering reliable technology solutions to businesses, the organisation is continuing to grow and is now looking to recruit an IT Infrastructure Consultant to join their Professional Services team. The Role As an IT Infrastructure Consultant, you will play a key role in designing and delivering reliable infrastructure solutions for customers. This is a hands-on technical role focused on implementing server and infrastructure environments that are secure, stable, and easy for customers to manage. You will work within established implementation frameworks to deploy Windows Server, virtualisation, networking, and backup solutions, helping organisations adopt new technology with minimal disruption to their operations. Projects typically range from 10-25 days in duration, and you will work closely with customers to ensure successful delivery and a smooth transition into ongoing support. Key Responsibilities Infrastructure Solution Design & Delivery Design and implement server and infrastructure solutions aligned to technical standards and best practices. Deliver deployments across Microsoft Windows Server and core infrastructure platforms. Implement virtualisation, networking, and backup solutions. Deliver multiple infrastructure projects simultaneously while maintaining quality and timelines. Produce clear and accurate technical documentation for each implementation. Client Engagement Work closely with customers to understand technical and operational requirements. Translate technical requirements into practical infrastructure solutions. Provide guidance and training to customer IT teams following implementation. Communicate technical information clearly to both technical and non-technical stakeholders. Project Delivery & Quality Assurance Ensure smooth handovers from project delivery into service support teams. Conduct post-implementation reviews to ensure successful outcomes. Maintain high standards of customer satisfaction and solution stability. Continuous Improvement Provide feedback to improve internal infrastructure standards and delivery frameworks. Identify opportunities to simplify and enhance infrastructure designs. Support mentoring of junior consultants within the team. Key Responsibilities (Day to Day) Deliver infrastructure projects on time and within scope Work with IT Project Managers to plan and manage project delivery Provide clear updates to both customers and internal stakeholders Produce high-quality documentation and handover materials Present technical updates to both technical teams and senior stakeholders Contribute to improving infrastructure solutions and internal processes Experience & Skills Essential 2+ years' experience in infrastructure, server, or technical consultancy roles Experience delivering server and infrastructure implementations Strong organisation and project delivery skills Excellent communication and stakeholder management skills A customer-focused and solution-driven approach Technical Experience Microsoft Windows Server environments Virtualisation platforms Networking infrastructure Backup and disaster recovery solutions Technical troubleshooting and infrastructure support Desirable Certifications Microsoft Windows Server certifications CompTIA A+ or Network+ Benefits Salary of 40,000 - 45,000 35-hour working week 36 days holiday (28 days + bank holidays) Business mileage reimbursed during probation (up to 45p per mile) Company vehicle or car allowance after successful probation Pension scheme Electric car scheme and bike to work scheme Enhanced maternity and paternity benefits Ongoing training and development plans Free lunches and regular staff events On-site parking Supportive and collaborative working environment If you are an experienced Infrastructure Engineer or Technical Consultant looking to step into a delivery-focused role with strong career development opportunities, we would love to hear from you. INDGH
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.
May 20, 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.
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
May 20, 2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
May 20, 2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
SAP BTP & AI Technical Architect (Big 4) 90,000 - 120,000 + Car Allowance + Bonus UK Wide We are looking for talented individuals to join our big 4 consultancy client in this exciting new career opportunity. They have invested heavily into their SAP practice and are undergoing substantial growth due to new project wins, an exciting time to join! The ideal candidate would be business focused to support with the holistic delivery model. You can expect a modern culture, endless development opportunities and clear career progression. Role overview: Lead the design and delivery of scalable SAP S/4HANA and SAP BTP architectures, incorporating AI and Generative AI capabilities. Advise clients on intelligent enterprise transformation, including automation, machine learning, and AI-driven solutions. Facilitate workshops and collaborate with stakeholders to identify high-value use cases and define strategic roadmaps. Support business development activities, including proposals, bids, and senior client engagements. What you would bring: Proven experience delivering complex SAP S/4HANA transformations with strong knowledge across integration, BTP, security, and full-stack architecture. Hands-on experience designing and delivering enterprise-scale AI or Generative AI solutions within SAP environments. Demonstrated ability to lead architecture design and technical teams, ideally across multiple full S/4HANA lifecycle implementations. Strong stakeholder management, workshop facilitation, and ability to translate business requirements into scalable technical solutions. Akkodis exists to connect the smartest people and brightest businesses to the opportunities they need to thrive. We're a Global leader in professional solutions for IT, Engineering and Life Sciences. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
May 20, 2026
Full time
SAP BTP & AI Technical Architect (Big 4) 90,000 - 120,000 + Car Allowance + Bonus UK Wide We are looking for talented individuals to join our big 4 consultancy client in this exciting new career opportunity. They have invested heavily into their SAP practice and are undergoing substantial growth due to new project wins, an exciting time to join! The ideal candidate would be business focused to support with the holistic delivery model. You can expect a modern culture, endless development opportunities and clear career progression. Role overview: Lead the design and delivery of scalable SAP S/4HANA and SAP BTP architectures, incorporating AI and Generative AI capabilities. Advise clients on intelligent enterprise transformation, including automation, machine learning, and AI-driven solutions. Facilitate workshops and collaborate with stakeholders to identify high-value use cases and define strategic roadmaps. Support business development activities, including proposals, bids, and senior client engagements. What you would bring: Proven experience delivering complex SAP S/4HANA transformations with strong knowledge across integration, BTP, security, and full-stack architecture. Hands-on experience designing and delivering enterprise-scale AI or Generative AI solutions within SAP environments. Demonstrated ability to lead architecture design and technical teams, ideally across multiple full S/4HANA lifecycle implementations. Strong stakeholder management, workshop facilitation, and ability to translate business requirements into scalable technical solutions. Akkodis exists to connect the smartest people and brightest businesses to the opportunities they need to thrive. We're a Global leader in professional solutions for IT, Engineering and Life Sciences. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 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.
Principal Test Equipment Engineer 100% on site in Edinburgh The opportunity: Are you interested in developing test equipment for some of the most cutting-edge defence and aerospace projects in the UK? If you like the sound of developing test equipment for projects such as the SAAB Gripen jet, then Leonardo would like to hear from you. We are looking for an experienced Principal Test Equipment Engineer to join the development team on a complex Automatic Test Equipment system within Product & MRO Services of the Customer Support Services Solutions (CS3) at our Edinburgh based site. You will be required to work within a multi-disciplined engineering team in the delivery of technical solutions for the project. The successful candidate will be involved in a wide variety of engineering activities including, but not limited to, involvement with the design and development of solutions for Automatic Test Equipment systems, integration testing, qualification, certification and customer acceptance. This will involve liaison with internal/external customers, other functions within the Integrated Project Team (IPT) and engineering sub-contractors. What you'll do as a Principal Test Equipment Engineer: Key contributor to the creation and delivery of the technical solution within a defined work package area, ensuring that it meets all stakeholder requirements Development and deployment of test programs Hardware and software integration of test programs Design of systems, interfaces and cable assemblies Work closely with internal IPT Functions, support to Production and liaison with external customers stakeholders Ensure the application of appropriate tools / techniques for test equipment design by the team, providing advice in own area of expertise Resolve emerging issues by proposing and driving through solutions, escalating more complex risks and supporting definition of opportunities and risk mitigation options Foster relationships and networks within and outside the line of business, actively seeking out opportunities and promoting a culture for adoption of best practice Develop, coach, mentor, teach, and upskill other engineers in the wider application of engineering. What we need from you: Demonstrated experience of technical solution development within a multi-disciplinary team Integration experience using software languages such as CVI, C, C++ Integration experience in a NI Test Stand environment LF/Digital and / or RF/uW hardware integration experience Offsite / Overseas test integration experience Hands on experience of hardware full design process and lifecycle. Knowledge of Product safety legislation Experience in capturing and analysing stakeholder needs to help guide the development of solutions capable of meeting the needs of future operational environments Strong interpersonal and collaboration skills, with an ability to influence and adapt according to changing demands. Experience of working collaboratively with internal and external stakeholders from a wide range of organisations, disciplines, backgrounds and levels of seniority, including managing relationships with customers and/or suppliers. Ability to maintain engineering best practice, including looking externally to sources such as academia or other industries Demonstrated ability to coach and develop others Self-motivated with an aptitude for problem solving and driving difficult issues to conclusion Intrinsic Factors: This is an Edinburgh factory based role using ATE systems however the successful candidate may also have to visit customers in other parts of the UK and abroad. The successful candidate will be expected to work full time hours and shift patterns in a flexible and demanding environment. The nature of the Engineering projects means that any candidate being considered for the position must: - Have Secret security clearance - Have a minimum of 5 years permanent residency in the UK - Have the clearance to see caveated information such as UK eyes only and ITAR INDWIN Our clients and their customers come from diverse backgrounds and so do we. We hire our people from various walks of life, each of whom make our company stronger with their talent, uniqueness, and expertise. This is what makes our company special; if you want to help us grow and take this ethos to our clients, then we cannot wait to collaborate with you! The UK has now left the European Union. Any EU, EEA or Swiss citizens living in the UK that wish to remain in the UK post Brexit need to apply to the EU Settlement Scheme. Although the closing date for applications was 30th Jun 2021, if you have not yet applied but believe that you would qualify under the EU Settlement Scheme, the Home Office have confirmed that they will consider late applications. For further information please see (url removed)> Many Thanks
May 20, 2026
Contractor
Principal Test Equipment Engineer 100% on site in Edinburgh The opportunity: Are you interested in developing test equipment for some of the most cutting-edge defence and aerospace projects in the UK? If you like the sound of developing test equipment for projects such as the SAAB Gripen jet, then Leonardo would like to hear from you. We are looking for an experienced Principal Test Equipment Engineer to join the development team on a complex Automatic Test Equipment system within Product & MRO Services of the Customer Support Services Solutions (CS3) at our Edinburgh based site. You will be required to work within a multi-disciplined engineering team in the delivery of technical solutions for the project. The successful candidate will be involved in a wide variety of engineering activities including, but not limited to, involvement with the design and development of solutions for Automatic Test Equipment systems, integration testing, qualification, certification and customer acceptance. This will involve liaison with internal/external customers, other functions within the Integrated Project Team (IPT) and engineering sub-contractors. What you'll do as a Principal Test Equipment Engineer: Key contributor to the creation and delivery of the technical solution within a defined work package area, ensuring that it meets all stakeholder requirements Development and deployment of test programs Hardware and software integration of test programs Design of systems, interfaces and cable assemblies Work closely with internal IPT Functions, support to Production and liaison with external customers stakeholders Ensure the application of appropriate tools / techniques for test equipment design by the team, providing advice in own area of expertise Resolve emerging issues by proposing and driving through solutions, escalating more complex risks and supporting definition of opportunities and risk mitigation options Foster relationships and networks within and outside the line of business, actively seeking out opportunities and promoting a culture for adoption of best practice Develop, coach, mentor, teach, and upskill other engineers in the wider application of engineering. What we need from you: Demonstrated experience of technical solution development within a multi-disciplinary team Integration experience using software languages such as CVI, C, C++ Integration experience in a NI Test Stand environment LF/Digital and / or RF/uW hardware integration experience Offsite / Overseas test integration experience Hands on experience of hardware full design process and lifecycle. Knowledge of Product safety legislation Experience in capturing and analysing stakeholder needs to help guide the development of solutions capable of meeting the needs of future operational environments Strong interpersonal and collaboration skills, with an ability to influence and adapt according to changing demands. Experience of working collaboratively with internal and external stakeholders from a wide range of organisations, disciplines, backgrounds and levels of seniority, including managing relationships with customers and/or suppliers. Ability to maintain engineering best practice, including looking externally to sources such as academia or other industries Demonstrated ability to coach and develop others Self-motivated with an aptitude for problem solving and driving difficult issues to conclusion Intrinsic Factors: This is an Edinburgh factory based role using ATE systems however the successful candidate may also have to visit customers in other parts of the UK and abroad. The successful candidate will be expected to work full time hours and shift patterns in a flexible and demanding environment. The nature of the Engineering projects means that any candidate being considered for the position must: - Have Secret security clearance - Have a minimum of 5 years permanent residency in the UK - Have the clearance to see caveated information such as UK eyes only and ITAR INDWIN Our clients and their customers come from diverse backgrounds and so do we. We hire our people from various walks of life, each of whom make our company stronger with their talent, uniqueness, and expertise. This is what makes our company special; if you want to help us grow and take this ethos to our clients, then we cannot wait to collaborate with you! The UK has now left the European Union. Any EU, EEA or Swiss citizens living in the UK that wish to remain in the UK post Brexit need to apply to the EU Settlement Scheme. Although the closing date for applications was 30th Jun 2021, if you have not yet applied but believe that you would qualify under the EU Settlement Scheme, the Home Office have confirmed that they will consider late applications. For further information please see (url removed)> Many Thanks
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.
May 20, 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.
Marketing and Business Development Manager Location: Horsham, West Sussex (Hybrid Working) Working Hours: 37.5 hours per week Salary: £45,000 £55,000, depending on experience Our client is a long-established and highly reputable immigration firm based in Horsham, West Sussex. They specialise in corporate immigration and cater to several hundred corporate clients of varying sizes, many of whom they have worked with for several years. They re looking for an experienced, commercially driven Marketing & Business Development Manager to join them permanently. The successful candidate will be responsible for identifying new business opportunities, building strong client relationships, and driving revenue growth. The role is ideal for a motivated professional, eager to make a significant impact on organisational growth while developing their career within a supportive environment. You'll work closely with the leadership team and alongside specialist external partners. Your job is to ensure everything is aligned, on-brand, and converting. Requirements Essential Proven and demonstrable experience in a B2B marketing or business development role, ideally within a services environment Strategic thinker with the ability to analyse market data and identify growth opportunities Strong understanding of SEO principles, digital marketing, and content strategy Familiar with CRM tools/HubSpot and comfortable maintaining accurate pipeline data Experience managing social media for business, particularly LinkedIn Experience working alongside or managing external agency relationships Confident, personable, and comfortable networking in person at events Analytical thinker who can interpret performance data and make informed recommendations Excellent written communication skills Exceptional communication and negotiation skills to influence decision-makers at various levels Able to work independently and manage multiple priorities Comfortable taking leadership/ownership of marketing activities The Role Strategy & Reporting Develop and cost a marketing strategy aligned to commercial goals, monitor performance across channels, and report regularly to senior management on pipeline, market trends, and what's working. Business Development Explore new avenues of potential business, such as building referral relationships within the legal and recruitment sectors, participating in selected trade sector events (e.g., construction, technology, engineering, etc.) and creating a presence within Chambers of Commerce, local business communities and industry forums. Lead Management Chase and qualify inbound enquiries, manage leads in their CRM, and build a referral network. Attend industry events alongside the Director, approach new contacts with confidence, and nurture relationships afterwards. Support fee earners with pitch decks and tailored proposals. Digital & SEO Manage the Google Business Profile and reviews platform. Work with the SEO partner to optimise for rankings and conversions, and maintain consistent, keyword-optimised content across all platforms. Content & Social Grow their LinkedIn presence with regular, on-brand content. Review and approve blogs, web pages, videos and outbound emails produced by external partners before they go live. Test new ideas and track performance. This role is not open to Agencies - no calls or emails What s next? It s easy! Click APPLY now! We can t wait to hear from you! Your data will be handled in line with GDPR.
May 20, 2026
Full time
Marketing and Business Development Manager Location: Horsham, West Sussex (Hybrid Working) Working Hours: 37.5 hours per week Salary: £45,000 £55,000, depending on experience Our client is a long-established and highly reputable immigration firm based in Horsham, West Sussex. They specialise in corporate immigration and cater to several hundred corporate clients of varying sizes, many of whom they have worked with for several years. They re looking for an experienced, commercially driven Marketing & Business Development Manager to join them permanently. The successful candidate will be responsible for identifying new business opportunities, building strong client relationships, and driving revenue growth. The role is ideal for a motivated professional, eager to make a significant impact on organisational growth while developing their career within a supportive environment. You'll work closely with the leadership team and alongside specialist external partners. Your job is to ensure everything is aligned, on-brand, and converting. Requirements Essential Proven and demonstrable experience in a B2B marketing or business development role, ideally within a services environment Strategic thinker with the ability to analyse market data and identify growth opportunities Strong understanding of SEO principles, digital marketing, and content strategy Familiar with CRM tools/HubSpot and comfortable maintaining accurate pipeline data Experience managing social media for business, particularly LinkedIn Experience working alongside or managing external agency relationships Confident, personable, and comfortable networking in person at events Analytical thinker who can interpret performance data and make informed recommendations Excellent written communication skills Exceptional communication and negotiation skills to influence decision-makers at various levels Able to work independently and manage multiple priorities Comfortable taking leadership/ownership of marketing activities The Role Strategy & Reporting Develop and cost a marketing strategy aligned to commercial goals, monitor performance across channels, and report regularly to senior management on pipeline, market trends, and what's working. Business Development Explore new avenues of potential business, such as building referral relationships within the legal and recruitment sectors, participating in selected trade sector events (e.g., construction, technology, engineering, etc.) and creating a presence within Chambers of Commerce, local business communities and industry forums. Lead Management Chase and qualify inbound enquiries, manage leads in their CRM, and build a referral network. Attend industry events alongside the Director, approach new contacts with confidence, and nurture relationships afterwards. Support fee earners with pitch decks and tailored proposals. Digital & SEO Manage the Google Business Profile and reviews platform. Work with the SEO partner to optimise for rankings and conversions, and maintain consistent, keyword-optimised content across all platforms. Content & Social Grow their LinkedIn presence with regular, on-brand content. Review and approve blogs, web pages, videos and outbound emails produced by external partners before they go live. Test new ideas and track performance. This role is not open to Agencies - no calls or emails What s next? It s easy! Click APPLY now! We can t wait to hear from you! Your data will be handled in line with GDPR.
