Sky
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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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.
Cognition
We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Cognition is building collaborative AI teammates that enable engineers to focus on more interesting problems and empower engineering teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us. About the Role At Cognition, partners are force multipliers. Partner Deployed Engineers (Partner DEs) are partner-facing (and customer-facing) technical experts who enable services partners such as Global Systems Integrators to successfully deploy, scale, and deliver value with Devin and Windsurf across their client base. In this role, you will work closely with partner solution architects, delivery leads, and engineering teams to help them build repeatable offerings and internal expertise on top of the Cognition platform. Rather than owning a single customer, you'll amplify impact by enabling partners to support many customers at scale. This role blends deep technical work, partner enablement, and ecosystem thinking. You'll lead technical enablement sessions, co-deliver pilots, unblock complex deployments, and help GSIs operationalize Devin/Windsurf into their delivery motions. You'll act as Cognition's technical representative within partner organizations. In This Role, You Will Own the technical success of GSI partners across onboarding, enablement, and scaled delivery of Devin/Windsurf Work directly with partner engineering and architecture teams to understand their delivery models, tooling, and customer use cases Enable partners to build repeatable solutions, accelerators, and reference architectures using Devin/Windsurf Lead technical trainings, workshops, and deep dives for partner teams (hands-on, not slideware) Support partner-led customer pilots and early production deployments, stepping in where complexity is highest Act as a technical escalation point for complex integrations, security reviews, CI/CD environments, and enterprise workflows Build strong, trust-based relationships with partner technical leaders in GSIs (e.g., delivery heads, principal engineers, solution architects) Capture field learnings and partner feedback to influence product roadmap, packaging, and partner readiness Proactively identify gaps in partner capability and work with internal teams to close them What We Value Partner expertise. You understand how GSIs operate, deliver projects, and measure success Ownership mindset. You take responsibility for partner outcomes, not just enablement activities Technical depth. You can reason about real systems, not just demos Leverage thinking. You prefer enabling 10 teams over doing the work for 1 Bias toward execution. You move quickly from concept to working deployment Comfort with ambiguity. Partner environments are messy; you thrive in that reality Requirements Degree in STEM field and a strong engineering foundation from a rigorous technical environment Demonstrated track record of exceptional performance in academic, professional, or entrepreneurial pursuits Experience working with or alongside large engineering teams (enterprise or services environments preferred) Strong communication skills; you can engage credibly and build relationships with senior partner leaders, architects, and executives High tolerance for ambiguity, intensity, and sustained effort when required Willingness to travel 25-50%, including frequent travel to India and partner/customer sites You Might Excel If You Are advanced in at least one modern programming language (e.g., Python, TypeScript) Have experience writing, debugging, and deploying real production systems Have worked with SI / GSI delivery models, enterprise software deployments, or large-scale developer platforms Enjoy enabling others to be successful, not just building things yourself Learn quickly by embedding in complex, real-world environments Have operated beyond your formal job description in high-growth or early-stage settings or have previously founded a startup Thrive in roles that require you to context switch quickly and handle a broad range of technical and non-technical problems
We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Cognition is building collaborative AI teammates that enable engineers to focus on more interesting problems and empower engineering teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us. About the Role At Cognition, partners are force multipliers. Partner Deployed Engineers (Partner DEs) are partner-facing (and customer-facing) technical experts who enable services partners such as Global Systems Integrators to successfully deploy, scale, and deliver value with Devin and Windsurf across their client base. In this role, you will work closely with partner solution architects, delivery leads, and engineering teams to help them build repeatable offerings and internal expertise on top of the Cognition platform. Rather than owning a single customer, you'll amplify impact by enabling partners to support many customers at scale. This role blends deep technical work, partner enablement, and ecosystem thinking. You'll lead technical enablement sessions, co-deliver pilots, unblock complex deployments, and help GSIs operationalize Devin/Windsurf into their delivery motions. You'll act as Cognition's technical representative within partner organizations. In This Role, You Will Own the technical success of GSI partners across onboarding, enablement, and scaled delivery of Devin/Windsurf Work directly with partner engineering and architecture teams to understand their delivery models, tooling, and customer use cases Enable partners to build repeatable solutions, accelerators, and reference architectures using Devin/Windsurf Lead technical trainings, workshops, and deep dives for partner teams (hands-on, not slideware) Support partner-led customer pilots and early production deployments, stepping in where complexity is highest Act as a technical escalation point for complex integrations, security reviews, CI/CD environments, and enterprise workflows Build strong, trust-based relationships with partner technical leaders in GSIs (e.g., delivery heads, principal engineers, solution architects) Capture field learnings and partner feedback to influence product roadmap, packaging, and partner readiness Proactively identify gaps in partner capability and work with internal teams to close them What We Value Partner expertise. You understand how GSIs operate, deliver projects, and measure success Ownership mindset. You take responsibility for partner outcomes, not just enablement activities Technical depth. You can reason about real systems, not just demos Leverage thinking. You prefer enabling 10 teams over doing the work for 1 Bias toward execution. You move quickly from concept to working deployment Comfort with ambiguity. Partner environments are messy; you thrive in that reality Requirements Degree in STEM field and a strong engineering foundation from a rigorous technical environment Demonstrated track record of exceptional performance in academic, professional, or entrepreneurial pursuits Experience working with or alongside large engineering teams (enterprise or services environments preferred) Strong communication skills; you can engage credibly and build relationships with senior partner leaders, architects, and executives High tolerance for ambiguity, intensity, and sustained effort when required Willingness to travel 25-50%, including frequent travel to India and partner/customer sites You Might Excel If You Are advanced in at least one modern programming language (e.g., Python, TypeScript) Have experience writing, debugging, and deploying real production systems Have worked with SI / GSI delivery models, enterprise software deployments, or large-scale developer platforms Enjoy enabling others to be successful, not just building things yourself Learn quickly by embedding in complex, real-world environments Have operated beyond your formal job description in high-growth or early-stage settings or have previously founded a startup Thrive in roles that require you to context switch quickly and handle a broad range of technical and non-technical problems
