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Build Your Own Underwriting Business. Not Someone Else's Book. Some underwriters want a job. Others want to build something . A portfolio. A team. A specialist proposition the market actually respects. If you're the second type, keep reading. The Opportunity A well-capitalised insurance group is launching a new MGA platform designed specifically for entrepreneurial underwriters . Not a restrictive framework. Not a corporate cage. A platform built around a simple idea: Great underwriters should be able to build their own businesses. This is a chance to launch and grow your own specialist underwriting cell with the backing of a serious market player. What Makes This Different Most MGA platforms tell you how it works. This one asks how you want it to work . You'll be supported with the infrastructure needed to run an underwriting business - but you'll retain the freedom to build it properly. Think: Your underwriting strategy Your specialist niche Your team Your brand All supported by a platform that provides: Technology and operational infrastructure Compliance and regulatory framework Marketing support Back and middle office capability Access to capital and market relationships So you can focus on what actually matters. Writing great business. Real Ownership This isn't a salary move. It's a business-building opportunity . The platform is open to flexible equity structures , including minority investment, allowing you to retain meaningful ownership of the business you create. Working capital support is available to help launch and scale the proposition. Because if you're going to build something valuable You should own part of it . Who This Is For This will appeal to underwriters who: Have a clear view of a specialist opportunity in the market Want the freedom to build a profitable portfolio their way Have the credibility to secure broker support and capacity Are thinking about legacy, not just their next move You might be: A Lead or Senior Underwriter frustrated by corporate constraints A team with a book of business ready to build something of your own An experienced underwriter with a clear specialist niche strategy Classes of Interest The platform is deliberately broad in appetite . Opportunities are being considered across: London Market specialty lines Global niche classes Specialist UK opportunities What matters most is a credible underwriting proposition and the ambition to build something meaningful . First Conversations At this stage, you don't need a full business plan. But you should have a view on: The market opportunity Potential GWP Capacity strategy The type of team you would build Everything else can be shaped together. One Final Thought Most underwriting careers follow a familiar path: Move firm. Grow a book. Repeat. This opportunity is different. It's about building a business that carries your name, your reputation and your underwriting philosophy. If that's something you've been thinking about Let's talk. Visit the IDEX Consulting Ltd website for further opportunities. Please note that the information supplied may be retained for up to 10 years for use in connection with future vacancies. For full information on how we use your data, please visit the IDEX Consulting website and view our Privacy Policy. Our Diversity, Equity and Inclusion Mission At IDEX, we strive for an inclusion-first company culture where everyone is treated fairly and can bring their authentic selves to work. We recognise and acknowledge that diverse representation at every level of our business requires continuous and measurable effort. We are committed to driving conscious inclusion across our business and creating equitable pathways.

Senior Recruitment Consultant Full-time Hybrid - Altrincham Office We are seeking an experienced Senior Delivery Recruiter with a deep track record supporting Defence and Government programmes and clients. This role requires someone with an established network of security cleared candidates across IT and a proven ability to source, engage, and deliver talent into complex, high compliance environments. You'll play a critical role supporting our clients by providing exceptional delivery capability, partnering closely with stakeholders, and ensuring we consistently secure the specialist skills our clients depend on. Job description As a Senior Recruiter, you will have the following responsibilities: Ability to demonstrate capabilities in the full end to end recruitment lifecycle Data integrity, quality and managing all recruitment activity via our internal CRM system Analyse data to improve outcomes and have data led conversations Candidate attraction and sourcing via search and match technology Consistent delivery of quality CVs within SLAs, aiming for efficiency ratio of 3:2:1 Offer and on-boarding management independently with no supervision required, managing, and closing complicated candidate objections and demonstrate substantial capability of managing offers, rates, and skills negotiation with hiring managers Prepare for and attend client meetings, playing a contribution in setting them up for success and debriefings learning's following meetings Begin to lead internal meetings with peers, team members and account teams in relation to new roles, recruitment strategy and progress reviews Create positive relationships with candidates, asks, listens, and builds connections to gain market insight, information, leads and referrals Acts as mentor for Trainee Recruiters and Recruiters Show an in-depth understanding of client's business, culture, key skills, and wider business information, using this information to identify roles in other areas Acting as Delivery POC for client/Account Teams, chasing CV and interview feedback Ability to challenge and educate clients based on market insights and conditions on rejected candidates with customer where required Understand and keep up to date with market trends, information, key movers, and projects to ensure high level conversations with candidates and to drive their own market knowledge Take market information to your network via social media to drive inbound candidate engagement and networking opportunities Skills/ qualifications needed We are looking for candidates with the following skills: Confident in head hunting rather than sole reliance on application generation Client relationship building and stakeholder management experience Awareness of personal brand and impact across the business Demonstrable success in engaging/placing passive candidates Skilled in using sourcing tools Skilled in attracting and placing candidates Experience working to targets, deadlines and/or service agreements Background in Specialist Recruitment within Tech Knowledge and network connections to the Intelligence Community desirable Our Standards At ManpowerGroup, we believe that success is built on a foundation of accountability and commitment to our standards at every level. These standards are not just guidelines; they are integral to our culture and are embraced by everyone, from entry-level employees to senior leadership. To be successful, each of us must be accountable for delivering on these standards. They are designed to support performance, development, and career progression, ensuring that we all have a clear understanding of what success looks like at each level of our organisation. We all lead ourselves and others-our teams, our clients, and our stakeholders. By living our standards, we create a cohesive and supportive environment where everyone can thrive and contribute to our collective success. Clarity: Takes time to understand and share our organisation's vision and strategy with others, holds themself and others accountable to deliver on our common goals, mindfully gives honest and regular feedback and openly receives it so we can all learn and deliver our best. Care: Leads themself and others with care, respecting people as people first and promoting diversity, equity, inclusion and belonging in their environment so people feel heard and valued, listens to understand and then communicates purposefully and consistently, intentionally develops themself and inspires, coaches and empowers the development of others. Grow: Openly contributes thoughts, asks questions and challenges appropriately so that we make better, courageous and timely decisions, collaborates with others to identify current ideas, trends and perspectives (internally and externally) to continuously improve and transform what we do, builds on our successes and actively learns from mistakes and missed opportunities to progress toward our ambition.

Senior Corporate Partnerships Manager Contract type: Fixed term, Maternity Cover, full time 35 hours per week Location: London, UK. UK hybrid working a minimum of 40 % of working time is spent face-to-face (London office, external meetings or travel). 60/40 hybrid working at WaterAid means roughly three days wherever you work best and two days together in person. Salary: £48,867 - £51,439 per year with excellent benefits Change starts with water. Change starts with you. Every day, millions of people live without clean water, decent toilets and good hygiene. WaterAid exists to change that for everyone, everywhere. Join us, and your energy will help unlock people s potential and create a fairer future. About WaterAid We re a global federation driven by one vision: a world where everyone, everywhere has clean water, sanitation and hygiene by 2030. Powered by our values of Respect, Accountability, Courage, Collaboration, Integrity and Innovation, we work alongside communities, partners and supporters to make change happen. About the team The WaterAid Corporate Partnerships team is responsible for developing and implementing WaterAid s Corporate Partnerships Strategy which includes a focus on developing high value, high impact strategic partnerships. About the role As our Senior Corporate Partnerships Manager, you will be responsible for leading and developing the Partnership Management team of six to deliver partnership excellence and work closely with teams including Communications, Global Policy and Campaigns and Country Programme Offices to drive sustainable change. In this role, you will: Effectively lead, manage and motivate the Partnership Management team to deliver partnership excellence. Coach and support the team to maximise partnership opportunities as well as resolve complex issues. Work closely with teams across WaterAid (eg Communications, Policy) to identify opportunities and deliver collaborations which deliver shared value for WaterAid and corporate partners Work with the Head of Corporate Partnerships, Senior Partnership Development Manager and Senior Private Sector Advisor to implement the overall Corporate Partnerships Strategy Champion WaterAid s commitment to equity, inclusion and safeguarding. Requirements To be successful, you will need: A proven track record managing a variety of strategic, high value (6 figure) Corporate Partnerships that deliver shared value Experience of leading, managing and motivating others and driving change Endless enthusiasm, energy and the ability to work under own initiative and meet deadlines Ability to build relationships, network with, and influence, senior people both internally and externally Although not essential, we d prefer you to have: Experience of working in an NGO corporate fundraising environment Experience of managing at least three team members Closing date: Applications close at 12:00 PM (UK time) on Monday, 30 March 2026. Shortlisting and interviews will be scheduled on a rolling basis, and the role may close earlier if a suitable candidate is found. We therefore encourage you to apply at an early stage. How to apply: Click Apply to upload your CV and cover letter. We also have an open role for a Strategic Corporate Partnerships Manager. Please feel free to review this position as well if you think it may be more relevant to your experience. Can I use Artificial Intelligence (AI) technology in my application? At WaterAid, we strongly advise against using AI technology at any stage of the recruitment process. Our goal is to ensure a fair and transparent process that provides every applicant with an equal opportunity to succeed. We value hearing about your unique experiences and perspectives in your application, and, if shortlisted, during the interview as well. Pre-employment screening To apply for this role, you must be able to demonstrate your eligibility to work in the respective country. All pre-employment checks will be carried out according to local law and WaterAid s Safer Recruitment policy. All UK based roles require a basic Disclosure and Barring Service (DBS) check. Benefits Our benefits: 36 days holiday (including 8 Bank Holidays) Option to buy an extra 5 days annual leave Employer pension contribution up to 10 % Flexible and hybrid working arrangements Season ticket loan Free annual eye tests Give as you Earn charitable giving scheme Enhanced parental leave (maternity, adoption/surrogacy, shared parental and paternity) Sabbaticals One paid volunteer day each year As part of our annual leave policy, all employees receive three additional days of annual leave on top of their standard allocation of 25 days. These days are designated to cover the period when our UK office closes between Christmas and New Year, allowing all UK WaterAiders to take a well-deserved break. These days are automatically scheduled and cannot be changed or moved. Annual leave is accrued based on your start date. If sufficient leave has not been accrued by the time of the closure, the 3 days will be taken as unpaid leave or pro-rated, depending on your circumstances. Our Global Commitment: Our People Promise We will work with passion and focus to make sure everyone everywhere has clean water, decent toilets and good hygiene. WaterAid is a place of purpose where people have a real commitment and shared responsibility for the impact we have. We are a global community with diverse backgrounds and perspectives, motivated by inspiring, stimulating work. We are determined to be a place where people feel safe and able to contribute their voice and truly live our values. Equal Opportunities We welcome applications from people of all backgrounds, beliefs, customs, traditions, ways of life and status. This includes, but is not limited to, race, ethnicity, caste, colour, gender, language, religion, political or other opinion, national or social origin, property, birth, disability status, neurodiversity, age, marital and family status, sexual orientation and gender identity, health status, place of residence, economic and social situation. Safeguarding We are committed to protecting everyone we come into contact with. We have a zero- tolerance approach to abuse of power, privilege or trust across our global work, and to any form of inappropriate behaviour, discrimination, abuse, bullying, harassment, or exploitation. Safeguarding the people and communities we work with, our staff, volunteers and anyone working on our behalf is our top priority, and we take our responsibilities extremely seriously. All offers of employment are subject to satisfactory references and appropriate screening checks (which can include counterterrorism, safeguarding and criminal records checks). Together, we ll change the world through water. Join us and be part of the change!

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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.

White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, London Senior Software Development Engineer - Services About this role We are seeking a Senior Software Engineer who can walk in the shoes of our users, communicate & collaborate with teams in Business, Technology and Operations, bringing a passion for using software and technology to create impactful solutions. To be successful in this role, you will have an understanding of the benefits of business processes automation to enable user efficiency, the importance of well-governed solution development, and how to balance these needs to produce easy-to-use software. You are able to seamlessly switch from deep diving users' needs and technical challenges, to discussing solutions and prioritisation. You're not afraid to question stakeholder expectations, using your fantastic influencing skills to drive consensus on requirements, bringing it all together into an achievable, impactful solution that creates business value. What you'll do Design, develop, test and maintain a range of internal facing software products and solutions that automate Business processes Work to achieve the goals and vision shared by Product Management and your team Leadership Be an advocate for governance, documentation and process, ensuring that everything we build meets our high standards whilst providing a frictionless user experience Make recommendations to stakeholders and drive a consensus of agreement for your solutions. You'll also be great at keeping them in the loop Provide technical leadership and innovate within your team. What we're looking for A passion for software engineering and a track record of delivering solutions in an efficient and maintainable manner Exceptional programming skills and knowledge of building APIs using modern OO languages preferably Java, SOLID principles, SOA, HTTP and REST Demonstrable knowledge of creating architectural designs that meet the business need Proven experience in technical leadership, with a passion for mentoring and nurturing engineers You bring a user focussed mindset. An ability to capture process requirements in order to rapidly refine a solution You're able to effectively communicate and work together across engineering to maximise inner-sourcing opportunities and reduce waste Experience and knowledge in Cloud/AWS technologies. What you'll get to learn (any previous experience would be advantageous) Solving real world problems and being comfortable working in a complex regulated environment Gain the opportunity to become an expert in writing and optimising code with the power of AI code assistants (GitHub Copilot). Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this and you'll be rewarded with a role contributing to the product roadmap for an organisation committed to transformation We're continuing our journey into the public cloud and have problems of scale, security, availability and performance for you to help solve We love continuous learning and that's why we give you 10% of your time to work on cutting edge innovative projects that shape the way we will work in the future We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, London Director of Software Engineering About this role We are looking for a Director of Software Engineering to lead a team of 100+ engineers. We're looking for someone who is results-oriented, able to partner with business leaders and go toe-to-toe with the best engineers on technical rigour. You'll be responsible for all the technologists within a series of our 'outcome teams': established to drive forward business outcomes. You'll be an excellent leader of people and communicator. You'll be able to seamlessly switch from executive-level progress conversations, to diving deep into solutions, to contributing to strategic discussions around roadmaps. You'll be able to provide clear thinking and direction to cut through ambiguity. You'll be able to partner well with the local business leadership team and with enterprise stakeholders; providing objective assessments of the likely cost and risk trade-offs for different solutions, and clear paths forward. What you'll do Leadership of a team of 100+ technologists (Software Engineers, Quality Engineers and Architects): operating engineering at scale within a complex regulated environment Work together with Product and Design teams on the overall product roadmap for key business capabilities and goals Elevate great talent and ensure you have a clear agenda for development in the team. Actively manage performance across the team to develop talent over time Drive for effective delivery with pace and precision across the different outcome teams Liaising with and managing enterprise stakeholders primarily based in the US, who often have deep expertise on particular domains Manage a team with a blend of associates and third party engineers, and ensure effective oversight of the relevant third parties within the domain. Seek and share the context of the wider organisation, its purpose, commitments and opportunities to enable and engage your team with customer and organisational outcomes Stay up to date with the latest relevant changes in regulation and enterprise process Maintain broad knowledge and awareness of the latest relevant technologies and engineering practices Be a key voice in technical design reviews - ensuring a clear and consistent approach to engineering practices Support the career growth and development of the team What we're looking for You'll have a clear track record of leading large software engineering teams, and a proven track record of driving high performance You'll be able to solve complex challenges across people, process and technology. A high level of intellectual curiosity and comfort with ambiguity is essential. You will have the ability to deep dive on different technology options quickly and provide recommendations on a path forward. You will have excellent critical thinking skills and be able to provide thoughtful and effective counsel to leaders across the business You're passionate about recruiting and developing great engineering talent You'll be able to drive results quickly individually, whilst enabling others through the establishing of clear patterns and practices for engineering teams. You'll possess excellent communication skills, with an ability to adapt and communicate compellingly and with authenticity to any audience (including internal and external stakeholders) You'll be aware of the latest native developments within AWS and have real world experience You'll have an understanding of the latest cybersecurity trends and how they impact engineering practice You'll be able to work within enterprise policies/guidelines while customising to fit the UK to strike the right balance You're comfortable in reaching pragmatic outcomes between short-term and long-term business needs Knowledge of the UK / US regulatory, consumer lending and technology landscapes (preferred) Where and how you'll work This is a permanent position based in our London offices. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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.