Trabajos market data en Reino Unido

Location: London, UK on site Reports to: Global Head of Student Employment & Corporate Partnerships Contract Type: Permanent Function: GEDU Group – CEO Office At GEDU, we’re on a mission to transform lives through education. Operating across 15 countries—including the US, UK, UAE, Australia, and Europe—we serve over 75,000 students through a diverse portfolio of institutions and programmes. From PhDs to apprenticeships, language schools to business education, we’re committed to delivering real-world impact and exceptional student outcomes. Our brands include: Global Banking School | Schiller International University | English Path | GEDU Services | ICN Artem | MLA College | Global U | EMA Education | GBS Dubai | APAC Australia We’re looking for a Global Employer Partnerships Lead (Student Employment and Skills Programmes) to spearhead our global employer engagement strategy. This is a high-impact, strategic role where you’ll build and nurture a powerful ecosystem of employer partnerships across sectors and geographies. You’ll co-create career pathways, experiential learning opportunities, and industry-informed curricula (skills based) that directly shape the futures of our students. If you’re passionate about connecting education with employment, thrive in global environments, and love building meaningful partnerships—this is your opportunity to lead change at scale. • Forge high-value relationships with employers across tech, finance, healthcare, and more., • Develop toolkits and engagement plans to attract and retain industry partners., • Maintain a centralised CRM to build, track and manage global employer interactions., • Co-create cutting-edge skills programmes with employers globally - think apprenticeships, certifications, and live projects., • Collaborate with academic teams to embed employer insights into curriculum design., • Deliver bespoke B2B training and executive education solutions – stimulate client demand and convert business., • Establish and manage global advisory boards to keep our programmes market-relevant., • Facilitate regular feedback loops to inform strategic decisions and curriculum updates., • Share best practices through global toolkits for local teams., • Lead employer participation in global career fairs, networking events, and panel discussions., • Curate a global calendar of employer engagement activities., • Ensure a consistent and compelling brand experience across all campuses., • Design and deliver a world-class global alumni strategy and programme., • Create opportunities for mentoring, networking, and job placements across our student and graduate communities., • Support regional teams (our brands) in building strong local employer relationships and engagement., • Good experience in employer partnerships (e.g. CIMA, CFA etc.), talent recruitment/ talent acquisition (agency or in house across multiple sectors), early careers (multiple sectors)., • A strong network of employer contacts and experience engaging alumni communities., • Proven ability to build and scale strategic partnerships across sectors and geographies., • Experience co-creating programmes with industry partners., • Skilled in managing advisory boards and translating insights into action., • Excellent event planning and relationship management skills., • Comfortable working across academic, operational, and regional teams., • Agile and responsive to global employment trends., • Experience leading cross-cultural teams and managing complex stakeholder environments., • Strong analytical skills with a focus on impact measurement and KPIs., • Proficient in Office 365, CRM systems, and employability analytics platforms., • Able to lead platform implementation and optimisation globally., • Skilled in data governance, GDPR compliance, and dashboard creation., • Comfortable using data to drive decisions and improve performance., • Bachelor’s degree required., • Be part of a global mission to make education more impactful and accessible., • Work with a diverse, international team of changemakers., • Influence the future of student employment across multiple sectors and countries., • Enjoy a role that blends strategy, innovation, and relationship-building.

Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? Vendor Data Manager Role Overview: The Vendor Data Manager is a strategic and cross-functional leader, responsible for overseeing the entire lifecycle of product data within Softcat from its acquisition to its eventual deletion. A key part of this is ensuring integrity, security and accessibility of vendor data by collaborating with different teams to maintain high standards and high data quality. Success. The Softcat Way. At Softcat we want to support you at every stage of your career. Whether that means stepping up into a more senior role, taking on more responsibilities in your current role or broadening your skills and experiences in a different department, we encourage all our employees to develop and grow with us. Key Responsibilities: • Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs., • Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data. This could include looking at new sources of data (from our vendors) to further enhance the enrichment of our vendor data or understanding best practice for managing our vendor data., • Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data. The data manager is responsible for ensuring this data is standardised across all systems, preventing inconsistencies and errors. The development and management of business processes to support these responsibilities will form a major part of the job for this Vendor Data Manager., • Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely. The Data Manager will implement rules and processes to cleanse data, validate its quality and monitor it for any issues. This is a continuous effort to maintain a high level of trust in the data used for business decisions., • Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks. This involves ensuring that data platforms and services are regularly audited to ensure policies are followed (such as ROPAs) and access controls are in place. This will be done in conjunction with the data owners and owners of the different services., • Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals. This includes defining what to collect, how it will be stored, and how it will be used to drive decisions. Required Skills & Qualifications: • Strong understanding of data analytics, data engineering, and machine learning concepts., • Have a strong understanding of data governance and data quality. Knowledge of how data integration and ETL works in an organisation like Softcat. Solid understanding of data security and compliance or the ability to learn this in the context of managing vendor data for Softcat., • Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial., • Familiarity with agile methodologies, product road mapping, and user-centred design., • Attention to detail: A focus on the finer details is crucial as small errors in data can lead to a significant impact., • Experience managing data-centric products or platforms., • Problem Solving and Analytical Thinking: Must be able to identify and resolve data-related issues, whether they are quality problems or technical glitches., • Knowledge of Softcat's Vendor landscape or a similar company would be advantageous for understanding the root cause of issues., • Ability to communicate technical concepts to non-technical stakeholders., • Strong project management and cross-functional collaboration skills. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply – we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: • Hybrid working –3 days in the office and 2 days working from home, • Working flexible hours - flexing the times you start and finish during the day, • Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at jobs.softcat.com/jobs/our-culture/ Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.

The Account Executive will play a pivotal role in driving sales and fostering client relationships within the Pharma and life science space across the UK. Client Details This small-sized organisation operates within the Technology industry, offering tailored solutions to its clients. Known for its commitment to providing innovative products and services, the company fosters a professional and supportive environment. Description Client Engagement: • Manage, develop, and expand an existing portfolio of corporate clients, • Build strong, trusted relationships at multiple levels within customer organisations, • Identify and engage new potential corporate customers through outreach, referrals, • Deliver compelling customer meetings, demos, and solution presentations, • Analyse customer usage, data, and spend patterns to identify optimisation and upsell opportunities, • Build business cases and deliver tailored proposals, • Work closely with Customer Success, local operations, marketing and UK and global sales colleagues, • Share insights and support continuous improvement across our UK sales organisation, • Develop your own go-to-market plan for the UK corporate segment Profile • Background in B2B sales-preferably consultative or solution-based, • Experience managing large or strategic accounts, • Comfortable navigating procurement processes and long sales cycles, • Confident working with data, usage insights, and financial models, • Able to spot growth opportunities and build strong value-based propositions, • Skilled at building trust and engaging stakeholders, • Self-driven, well-organised, and motivated by both independence and teamwork, • Curious, improvement-oriented and comfortable taking initiative, • Fluency in English, • Based in the UK with ability to meet customers when required Job Offer • Competitive salary ranging from £70,000 to £80,000 base., • Fantastic OTE and earning potential

Data Centre Manager Hybrid working – With travel to multiple sites in Hertfordshire and Surrey Permanent Summary We’re looking for a Data Centre Manager to join the team. For this role, this individual will be travelling across 3 sites in Hertfordshire and Surrey on a regular basis. As the Data Centre Manager, you’ll be responsible for the day-to-day management of a Data Centre team that provide support across 3 sites. Where you will take full ownership of operational delivery across cutting edge data centre projects. Also, be managing the full lifecycle from bid to pre-commencement through to on-site execution, whilst leading a team of engineers. Some of the key deliverables for the role will include: • Health and Safety - Demonstrate appropriate Health and Safety leadership to ensure that the safety first and foremost message is visible and alive throughout any activities carried out., • Business Processes - Ensure adherence to all NG Bailey’s policies, processes and procedures, • Compliance - Ensure under direction, all works comply with NG Bailey IT Services Company standards and to meet and exceed client expectations, as well as the requirements to meet/exceed international standards and manufacturers installation guideline systems., • Team Leadership - Provide leadership for the Managed Service Engineers and data centre projects delivery team and to maximise the potential of the team and the individuals within., • Bid Activity - Participate within data centre bid activity, • Business Planning and Budgeting - Provide input in the preparation of the business plans and budgets accurately based on the initial contract parameters and objectives, • Project Delivery- Manage all related activities to the successful completion of the data centre projects, • Relationships with Customers – Build and nurture customer relationships by delivering projects with efficiency and precision, • Previously held a Data Centre Manager position or similar, • Relevant experience in the Structured Cabling and Datacom Market Place, • Previous experience with CommScope iPatch solution, • Proven experience in managing teams of 10ppl +, • Solid experience in project delivery, • Design appreciation and ability to understand specifications and drawings, • Commercial awareness As a business, we’re on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We’ll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: We are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward-thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies. Progression is something we value, and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be. #LI-LP1#LI-hybrid

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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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. As a Senior Developer, you will design, build, and scale an AI Operations platform supporting Sky and NBCUniversal. You will focus on alert ingestion, correlation, and intelligent automation using full-stack development, machine learning, and Generative AI (GenAI). What you'll do • Design, build and maintain full-stack software solutions using Golang and Python, spanning services, APIs and automation components, • Contribute to the architecture and evolution of Sky's AI Operations platform, shaping intelligent automation and large-scale operational workflows, • Develop and operate cloud-native systems on AWS, including automated testing frameworks, CI/CD pipelines and environment validation, • Build reliable alerting, correlation and automation capabilities that support high-scale streaming and live service environments, • Produce high-quality technical documentation, covering design decisions, configuration, deployment processes and operational runbooks, • Collaborate closely with engineers, product teams and operational stakeholders to deliver robust, scalable and observable systems, • Troubleshoot complex distributed systems, identifying root causes and driving continuous improvement across the platform, • Mentor engineers through code reviews, design discussions and technical guidance, supporting a culture of engineering excellence What you'll bring, • Strong experience in software engineering within cloud or platform environments, ideally with exposure to IaC, observability and automation tooling, • Proficiency with Golang and/or Python, alongside experience building APIs, backend services and distributed systems, • Solid understanding of data technologies such as MongoDB or Postgres, including schema design, optimisation and operational considerations, • Experience applying AI, ML or algorithmic techniques within software platforms, automation pipelines or operational tooling, • Strong knowledge of RESTful API design, integration patterns and modern automation approaches (including low-code/no-code tools), • Ability to create and maintain clear technical documentation and architectural artefacts, supporting knowledge-sharing and change management, • A track record of solving complex engineering challenges, introducing innovative ideas and influencing technical direction within a team or platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 #LifeAtSky : 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. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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. As a Senior Developer, you will design, build, and scale an AI Operations platform supporting Sky and NBCUniversal. You will focus on alert ingestion, correlation, and intelligent automation using full-stack development, machine learning, and Generative AI (GenAI). What you'll do • Design, build and maintain full-stack software solutions using Golang and Python, spanning services, APIs and automation components, • Contribute to the architecture and evolution of Sky's AI Operations platform, shaping intelligent automation and large-scale operational workflows, • Develop and operate cloud-native systems on AWS, including automated testing frameworks, CI/CD pipelines and environment validation, • Build reliable alerting, correlation and automation capabilities that support high-scale streaming and live service environments, • Produce high-quality technical documentation, covering design decisions, configuration, deployment processes and operational runbooks, • Collaborate closely with engineers, product teams and operational stakeholders to deliver robust, scalable and observable systems, • Troubleshoot complex distributed systems, identifying root causes and driving continuous improvement across the platform, • Mentor engineers through code reviews, design discussions and technical guidance, supporting a culture of engineering excellence What you'll bring, • Strong experience in software engineering within cloud or platform environments, ideally with exposure to IaC, observability and automation tooling, • Proficiency with Golang and/or Python, alongside experience building APIs, backend services and distributed systems, • Solid understanding of data technologies such as MongoDB or Postgres, including schema design, optimisation and operational considerations, • Experience applying AI, ML or algorithmic techniques within software platforms, automation pipelines or operational tooling, • Strong knowledge of RESTful API design, integration patterns and modern automation approaches (including low-code/no-code tools), • Ability to create and maintain clear technical documentation and architectural artefacts, supporting knowledge-sharing and change management, • A track record of solving complex engineering challenges, introducing innovative ideas and influencing technical direction within a team or platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 #LifeAtSky : 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. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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. As a Senior Developer, you will design, build, and scale an AI Operations platform supporting Sky and NBCUniversal. You will focus on alert ingestion, correlation, and intelligent automation using full-stack development, machine learning, and Generative AI (GenAI). What you'll do • Design, build and maintain full-stack software solutions using Golang and Python, spanning services, APIs and automation components, • Contribute to the architecture and evolution of Sky's AI Operations platform, shaping intelligent automation and large-scale operational workflows, • Develop and operate cloud-native systems on AWS, including automated testing frameworks, CI/CD pipelines and environment validation, • Build reliable alerting, correlation and automation capabilities that support high-scale streaming and live service environments, • Produce high-quality technical documentation, covering design decisions, configuration, deployment processes and operational runbooks, • Collaborate closely with engineers, product teams and operational stakeholders to deliver robust, scalable and observable systems, • Troubleshoot complex distributed systems, identifying root causes and driving continuous improvement across the platform, • Mentor engineers through code reviews, design discussions and technical guidance, supporting a culture of engineering excellence What you'll bring, • Strong experience in software engineering within cloud or platform environments, ideally with exposure to IaC, observability and automation tooling, • Proficiency with Golang and/or Python, alongside experience building APIs, backend services and distributed systems, • Solid understanding of data technologies such as MongoDB or Postgres, including schema design, optimisation and operational considerations, • Experience applying AI, ML or algorithmic techniques within software platforms, automation pipelines or operational tooling, • Strong knowledge of RESTful API design, integration patterns and modern automation approaches (including low-code/no-code tools), • Ability to create and maintain clear technical documentation and architectural artefacts, supporting knowledge-sharing and change management, • A track record of solving complex engineering challenges, introducing innovative ideas and influencing technical direction within a team or platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 #LifeAtSky : 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. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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. As a Senior Developer, you will design, build, and scale an AI Operations platform supporting Sky and NBCUniversal. You will focus on alert ingestion, correlation, and intelligent automation using full-stack development, machine learning, and Generative AI (GenAI). What you'll do • Design, build and maintain full-stack software solutions using Golang and Python, spanning services, APIs and automation components, • Contribute to the architecture and evolution of Sky's AI Operations platform, shaping intelligent automation and large-scale operational workflows, • Develop and operate cloud-native systems on AWS, including automated testing frameworks, CI/CD pipelines and environment validation, • Build reliable alerting, correlation and automation capabilities that support high-scale streaming and live service environments, • Produce high-quality technical documentation, covering design decisions, configuration, deployment processes and operational runbooks, • Collaborate closely with engineers, product teams and operational stakeholders to deliver robust, scalable and observable systems, • Troubleshoot complex distributed systems, identifying root causes and driving continuous improvement across the platform, • Mentor engineers through code reviews, design discussions and technical guidance, supporting a culture of engineering excellence What you'll bring, • Strong experience in software engineering within cloud or platform environments, ideally with exposure to IaC, observability and automation tooling, • Proficiency with Golang and/or Python, alongside experience building APIs, backend services and distributed systems, • Solid understanding of data technologies such as MongoDB or Postgres, including schema design, optimisation and operational considerations, • Experience applying AI, ML or algorithmic techniques within software platforms, automation pipelines or operational tooling, • Strong knowledge of RESTful API design, integration patterns and modern automation approaches (including low-code/no-code tools), • Ability to create and maintain clear technical documentation and architectural artefacts, supporting knowledge-sharing and change management, • A track record of solving complex engineering challenges, introducing innovative ideas and influencing technical direction within a team or platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 #LifeAtSky : 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. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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. As a Senior Developer, you will design, build, and scale an AI Operations platform supporting Sky and NBCUniversal. You will focus on alert ingestion, correlation, and intelligent automation using full-stack development, machine learning, and Generative AI (GenAI). What you'll do • Design, build and maintain full-stack software solutions using Golang and Python, spanning services, APIs and automation components, • Contribute to the architecture and evolution of Sky's AI Operations platform, shaping intelligent automation and large-scale operational workflows, • Develop and operate cloud-native systems on AWS, including automated testing frameworks, CI/CD pipelines and environment validation, • Build reliable alerting, correlation and automation capabilities that support high-scale streaming and live service environments, • Produce high-quality technical documentation, covering design decisions, configuration, deployment processes and operational runbooks, • Collaborate closely with engineers, product teams and operational stakeholders to deliver robust, scalable and observable systems, • Troubleshoot complex distributed systems, identifying root causes and driving continuous improvement across the platform, • Mentor engineers through code reviews, design discussions and technical guidance, supporting a culture of engineering excellence What you'll bring, • Strong experience in software engineering within cloud or platform environments, ideally with exposure to IaC, observability and automation tooling, • Proficiency with Golang and/or Python, alongside experience building APIs, backend services and distributed systems, • Solid understanding of data technologies such as MongoDB or Postgres, including schema design, optimisation and operational considerations, • Experience applying AI, ML or algorithmic techniques within software platforms, automation pipelines or operational tooling, • Strong knowledge of RESTful API design, integration patterns and modern automation approaches (including low-code/no-code tools), • Ability to create and maintain clear technical documentation and architectural artefacts, supporting knowledge-sharing and change management, • A track record of solving complex engineering challenges, introducing innovative ideas and influencing technical direction within a team or platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 #LifeAtSky : 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. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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.

Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work." Propositions Manager is a pivotal role in Sky Connectivity, responsible for shaping and delivering the future strategy and roadmap across Sky Broadband and Mobile. You will shape compelling, commercially - robust propositions in a complex, multi-stakeholder environment, balancing customer value, commercial outcomes and delivery constraints to drive sustainable growth. This role reports into a Propositions Lead and forms part of a highly collaborative and dynamic team; committed to driving the development of best-in-class products and services for Sky customers. This team is responsible for redefining the way people feel about Sky's role in the home. It's our mission to bring our customers and prospects on the journey of being able to connect them with their friends and family like never before. For this role we offer the hybrid working approach with 3 days a week onsite in Osterley campus. What you'll do: • Proposition strategy - Support development of product and proposition strategies, navigating competing priorities across Product, Commercial, Technology and Go-To-Market teams, and making clear recommendations where trade-offs are required., • Future pipeline - Develop own perspective on how the market landscape might evolve in the future and how our connectivity business can be best positioned to capitalise on potential new revenue streams. Working with relevant third parties and exploring market opportunities to build out the longer-term roadmap., • Insight development - Develop data-led strategies that drive longer-term roadmap, working closely with the Strategic Insight team to build out best-in-class experiences, products and services to complement existing portfolio., • Product development - Work closely with product teams to influence prioritisation decisions, balancing customer outcomes, commercial impact, delivery complexity and sequencing across multiple initiatives in flight., • Change case - Support development of business cases, working closely with commercial & finance teams, considering both broader business and bottom-line financial benefits and risks., • Lead change programmes - Drive proposition changes through delivery by orchestrating multiple dependent teams (technology, billing, operations, commercial), resolving blockers and maintaining momentum in a fast-moving environment. What you'll bring:, • Strategic Thinking - understand market landscapes and ability to formulate plans to achieve a set of defined goals / objectives., • Problem Solving - comfortable with thinking about a problem and providing plausible & creative solutions., • Numerical - Comfortable building out and analysing business cases and is proficient in Excel., • Stakeholder management & influence - Proven ability to work across multiple stakeholders with differing objectives, influencing outcomes without direct authority and resolving conflict where priorities compete., • Has a consistent record in a previous proposition or commercial roles. Able to operate effectively in a high-profile, fast-paced environment, managing several complex initiatives at once and making sound decisions with imperfect information., • Confident communicator - will be working with teams across the organisation and engaging at a senior level. Team overview: This role sits within the Sky Connectivity Propositions team, which is responsible for leading the development of new & maintaining existing products, propositions, and services to help us drive growth. The Rewards: There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • Access a wide range of exclusive Sky VIP rewards and experiencesHow you'll work: We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your office base: 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. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. 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.

Want to do the best work of your life? Make your mark at Europe's leading entertainment brand. Our people make Sky a truly exciting and inclusive place to work - a place where you can be yourself and let your skills shine. The Advanced Analytics team within Consumer Strategy are at the forefront of understanding consumers and creating actionable insight about their behaviours, attitudes and needs. This consumer intelligence helps deliver a better experience and service to consumers and improves marketing performance. We have a considerable team with a variety of specialist skills including analytics, research, insight consultancy and econometrics and have a very extensive and deep stakeholder base across 30+ areas of Sky, covering every subject - from market & prospect headroom through to customer retention and everything in between! What you'll do: As an Analytics Manager in the Advanced Analytics team in Consumer Strategy, you'll be responsible for driving best in class insights through analytics, helping shape decisions using the power of data and insights: • Work across key business areas: Lead end-to-end analytics projects for Sky TV, NOW, Connectivity, and VIP, helping these teams make data-driven decisions that support Sky's consumer strategy and commercial priorities., • Deliver impactful analytics: Write complex and accurate code which exploits behavioural, research, external reports data, employing a wide range of advanced analytical techniques to extract strategic, actionable insights., • Bring insight to life: Create presentations that turn analysis into compelling stories - clearly structured, visually engaging, and commercially relevant - translating complex analytical outputs into clear commercial implications and recommendations., • Collaborate closely: Partner with stakeholders on briefs from problem definition through to delivery, ensuring high-quality outputs and advising on the most appropriate analytical approaches to meet business needs., • Grow fast: Build your technical and commercial confidence by working across different subject areas, expanding your advanced analytics and AI-enabled toolkit through hands-on application, mentoring and training., • Support others: Share your knowledge on analytical thinking and ways of working with the team, contributing to a strong collaborative team culture, and helping to uplift the quality and impact of work around you.What you'll bring:, • Demonstrated experience of using analytics to influence a commercial or strategic decision, such as evaluating risks and opportunities, deep dives into performance, assessing new propositions, and shaping business priorities., • Proven track record of communicating complex analytical insight clearly and credibly, influencing stakeholders up to Head of Department level and articulating both the so what and the now what., • Advanced SQL user with experience querying and manipulating large-scale customer, transactional, or behavioural datasets to deliver accurate, high-impact analysis independently., • Experience in using advanced analytical techniques (e.g. causal inference, statistical modelling, predictive methods) and a strong desire to continue expanding this toolkit with programming languages such as R and Python, including the effective use of AI-enabled methods where they add value., • Strong ability to partner with stakeholders to understand underlying business needs beyond the immediate question, challenge assumptions constructively, and shape analytical approach that will deliver measurable commercial value., • Proven ability to independently scope, design and deliver complex analytical projects end-to-end, selecting appropriate methodologies, managing ambiguity, and pivoting approach where required to ensure timely, high-quality, and actionable outcomes.The Rewards: There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 How you'll work: We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home. The hybrid working expectations for this role are 3 days in the office per week. Osterley: Monday, Tuesday & Thursday Where you'll work: 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, Chiswick Park, Gunnersbury, Acton Town and Ealing Broadway tube stations. There's also plenty of parking, bike shelters and showers. On campus you'll find six subsidised restaurants 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. Inclusion: We take pride in our approach to diversity and inclusion: we've been recognised by The Times and Stonewall for this, and we've committed £30million to support the fight against racial injustice. We've also set ambitious targets for increasing ethnic diversity and representation throughout our organisation. At Sky we don't just look at your CV. We're more focused on who you are and the potential you'll bring to Sky. We also know that everyone has a life outside work, so we're happy to discuss flexible working. And we'll do everything we can to support you during your application. If you need us to make any adjustments to our recruitment process, speak to our recruitment team who will be happy to support you. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. 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. As a Senior Developer, you will design, build, and scale an AI Operations platform supporting Sky and NBCUniversal. You will focus on alert ingestion, correlation, and intelligent automation using full-stack development, machine learning, and Generative AI (GenAI). What you'll do • Design, build and maintain full-stack software solutions using Golang and Python, spanning services, APIs and automation components, • Contribute to the architecture and evolution of Sky's AI Operations platform, shaping intelligent automation and large-scale operational workflows, • Develop and operate cloud-native systems on AWS, including automated testing frameworks, CI/CD pipelines and environment validation, • Build reliable alerting, correlation and automation capabilities that support high-scale streaming and live service environments, • Produce high-quality technical documentation, covering design decisions, configuration, deployment processes and operational runbooks, • Collaborate closely with engineers, product teams and operational stakeholders to deliver robust, scalable and observable systems, • Troubleshoot complex distributed systems, identifying root causes and driving continuous improvement across the platform, • Mentor engineers through code reviews, design discussions and technical guidance, supporting a culture of engineering excellence What you'll bring, • Strong experience in software engineering within cloud or platform environments, ideally with exposure to IaC, observability and automation tooling, • Proficiency with Golang and/or Python, alongside experience building APIs, backend services and distributed systems, • Solid understanding of data technologies such as MongoDB or Postgres, including schema design, optimisation and operational considerations, • Experience applying AI, ML or algorithmic techniques within software platforms, automation pipelines or operational tooling, • Strong knowledge of RESTful API design, integration patterns and modern automation approaches (including low-code/no-code tools), • Ability to create and maintain clear technical documentation and architectural artefacts, supporting knowledge-sharing and change management, • A track record of solving complex engineering challenges, introducing innovative ideas and influencing technical direction within a team or platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 #LifeAtSky : 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. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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.

Are you an architect who loves solving complex problems, shaping future-state technology, and influencing global engineering decisions? A leading international insurer is searching for a Solution Architect to help design the next generation of systems across underwriting, claims, data and digital integration — all within a highly ambitious transformation agenda.You’ll work at the intersection of technology strategy, solution design, cloud, integration, and data architecture, partnering with senior leaders across multiple regions. Expect deep involvement in modernisation initiatives, cloud adoption, complex integrations, and industry-wide market reform programmes. You’ll even engage with innovation ecosystems and cutting-edge PoCs, shaping how the business adopts new technology.This is your chance to: • Influence an international technology roadmap, • Own end-to-end solution design across high-profile initiatives, • Shape architecture standards and patterns, • Work across a diverse technology estate with modern and legacy elements, • Help define the future of digital underwriting, claims and data flows, • Partner with global architecture peers and industry innovation hubs, • Take a leading role in cloud, integration and modern engineering upliftIf you enjoy meaningful architectural ownership and want to operate where strategy meets delivery — this is it.If you’re a well-rounded Solution Architect with strong experience in integration, cloud, application design or insurance systems — then please apply and send your CV directly to start a confidential conversation.

Lead Product AnalystLondon - hybrid 3x a week Up to £100,000 + equity This is a high impact Lead Product Analyst role where you will shape how data drives product and customer experiences within a fast-paced, product-led technology business. With a strong focus on personalisation and experimentation, this role offers the chance to influence core commercial outcomes while working on a rapidly scaling international portfolio. The Company They are a well-established, data driven fintech operating a multi-product consumer app across lending and financial services. Known for their strong analytical culture, they have been profitable for several years and continue to grow at pace, including significant expansion into the US market. Data sits at the centre of decision making, with analytics embedded closely alongside product, engineering and growth teams. The Role You will operate as a senior individual contributor within the product analytics function, owning insight across key customer journeys and driving measurable impact. • Lead product analytics for a consumer app, focusing on personalisation and customer relevance, • Use data to determine the right product, message or experience to show each user at the right time, • Partner closely with product managers, engineers and data scientists in a cross functional, pod based environment, • Drive experimentation through robust AB testing and funnel analysis to improve conversion and engagement, • Support recommendation systems and propensity models to predict customer behaviour and purchase likelihood, • Analyse customer journeys, drop offs and lifecycle behaviour to optimise in app and push notification experiences, • Strong experience in product or growth analytics within consumer facing digital products, • Advanced SQL and strong Python skills, with Python central to day to day analysis, • Proven experience with experimentation, AB testing and causal analysis, • Exposure to propensity modelling or recommendation based use cases, • A commercial mindset with the ability to link analysis to business outcomes, • Experience working closely with product and engineering teams in agile environments, • Salary up to £100,000, • Equity participation, • Hybrid working with three days per week in the London office, • A highly visible role with real ownership and influence over product direction

Our client is a global consulting firm supporting organisations to navigate complex digital transformation challenges, with a strong focus on cyber security, risk, and resilience. They combine deep technical expertise with strategic advisory to help clients build secure and future-ready operations. Why This Role Matters This role plays a key part in helping organisations strengthen their cyber resilience in an increasingly complex threat landscape. You’ll directly influence how critical industries manage risk, protect data, and build digital trust. The Role You will lead the growth of the cyber security consulting offering in the UK, driving new business and expanding key accounts. Working closely with technical experts, you’ll shape and sell high-value consulting solutions to enterprise clients. Key Responsibilities • Competitive salary with performance-based incentives• Opportunity to shape and grow a cyber security consulting practice

Key ResponsibilitiesProgramme Delivery • Lead delivery across multiple workstreams including platform, data ingestion, modelling, and reporting, • Manage an outsourced delivery partner across scope, timelines, budget, and quality, • Track KPIs, milestones, and governance forums (e.g. SteerCo, Design Authority), • Proactively manage risks, issues, and interdependenciesData Architecture, • Define, implement, and govern the target data architecture (platforms, data models, integrations), • Ensure alignment with enterprise architecture and strategic objectives, • Review and challenge vendor designs to ensure quality and scalability, • Drive best practices across:, • Data modelling, • Data pipelines, • Storage (lakehouse/warehouse), • Metadata, lineage, and data qualityOperating Model, • Align with and enhance data governance frameworks, ownership, and stewardship, • Establish sustainable operating models and run-state processes, • Support data lifecycle management and continuous improvementStakeholder Management, • Act as the primary interface between client leadership and delivery partners, • Engage with business functions including Underwriting, Claims, and Finance, • Translate complex business requirements into effective data solutions, • Provide clear, concise updates to senior stakeholdersVendor Management, • Hold vendors accountable for delivery performance and outcomes, • Assess capability, resourcing, and collaboration effectiveness, • Drive continuous improvement in delivery and partnershipBusiness Outcomes, • Deliver measurable value including:, • Enhanced underwriting insights, • Improved reporting and regulatory compliance, • Reduction in manual processes, • Track business case progress and benefits realisationSkills & ExperienceEssential, • 15+ years' experience in data and analytics, including leadership roles, • Strong expertise in data architecture and large-scale platform delivery, • Proven experience managing third-party vendors, • Experience within London Market or specialty insurance, • Deep knowledge of modern data platforms (e.g. Azure, AWS, Snowflake, Databricks), • Strong understanding of data modelling, integration, governance, and data quality, • Demonstrated programme delivery and governance experienceDesirable, • Experience with underwriting, claims, or delegated authority data, • Knowledge of insurance regulatory and reporting requirements

Important High Level Summary Notes Please read the below high-level overview carefully, and if this position is of interest please contact me directly for a chat - my details are below:Lorenz Pasch - Hays Recruitment. My mobile number and email address are available on my LinkedIn profile.For this role, you must be able to demonstrate: • End-to-end ownership of enterprise platform services (not projects or products), • Accountability for service performance (SLAs, SLOs, KPIs), stability, and lifecycle management, • Experience operating within ITSM frameworks (incident, problem, change, release governance), • Ownership of service governance, reporting, and continuous improvement at scale, • Exposure to vendor-managed services and supplier governance The RoleA unique opportunity to join Hays, a FTSE 250 recruitment leader with a global footprint, undertaking a bold technology strategy focused on modernisation, digitalisation and innovation to power progress through people and market-leading technology. This role is responsible for the end-to-end ownership of a global data/analytics platform service domain, ensuring performance, stability, governance, and continuous improvement.You will sit between Technology Operations, Architecture, and business stakeholders, ensuring that platform services are well-governed, aligned to enterprise standards, and delivering measurable value. This is a service ownership role, not an engineering or product position. What You'll OwnService Ownership & Performance: Own service performance end-to-end, ensuring availability, reliability, and KPI/SLA achievement across the platform domain.Governance & Service Lifecycle: Define and maintain governance frameworks across incidents, problems, changes, and releases. Drive service maturity and consistency globally.Platform Change Oversight: Own and govern small-scale platform changes including configuration updates, workflows, and access models. Ensure changes are controlled, tested, and aligned with standards.Vendor & Supplier Management: Manage managed service providers and ensure vendor performance, compliance, and accountability.Cost & Demand Management: Own budget visibility, cost transparency, and consumption optimisation. Align demand, capacity, and delivery priorities: Stakeholder & Cross-Functional Alignment Partner with Architecture, Security, PMO, and regional teams to ensure services are aligned with enterprise direction and business needs.Reporting & Insight: Deliver executive-level reporting, service dashboards, and performance insights to drive informed decision-making. What We're Looking ForYou will bring experience from complex, enterprise-scale environments where platform services are globally distributed and business-critical.Key experience required includes: • Ownership of platform or domain-level services (cloud, data, SaaS, or infrastructure platforms), • Strong grounding in IT service management (ITIL) and operational governance, • Experience defining and managing SLAs, SLOs, KPIs, and service performance frameworks, • Exposure to vendor-managed environments and supplier governance, • Strong stakeholder management across Technology, Architecture, and business functions, • Ownership: End-to-end accountability for a critical global platform domain, • Visibility: Regular engagement with senior stakeholders and cross-functional leaders, • Impact: Direct influence on service performance, cost, and user experience Competitive salary + bonus + benefits aligned to the scope and seniority of the role Contact Lorenz Pasch - Hays Recruitment. My mobile number and email address are available on my LinkedIn profile. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

PMO - Active DV, Digital, Data £Market rate (Inside IR35) Primarily remote 6 months I am currently working with an instantly recognisable consultancy who are seeking a DV cleared PMO, to join a business critical programme for an end client. Key Requirements: • Proven experience as a PMO, delivering digital or data projects end to end, • Active DV clearance, • Strong project management capability, including development of plans, schedules, RAID logs, reporting, and stakeholder communications, • Ability to support requirements definition and maintain delivery traceability, • Experience managing cross-functional stakeholders, technical teams, and third-party suppliers, • Strong understanding of governance, delivery controls, data governance, and security standards, • Ability to track delivery against scope, budget, timeline, risks, and dependencies, with timely escalation, • Experience working within formal governance or regulatory environments, • Background delivering projects involving data platforms, analytics, or digital transformation, • Familiarity with organisational change and operational handover readiness

Senior Product Engineer, Full Stack - Energy £70,000 to £95,000 Permanent London, hybrid The opportunity Our client is hiring a Senior Product Engineer, Full Stack, to help build the next generation of customer-facing software in the energy market. Operating in a complex, high-value sector, the business is combining technology, data, and product thinking to modernise an area of the energy industry that has historically been underserved by great software. We have already placed 3 people into the business and are pleased to be supporting them again on this important hire. This is a genuinely exciting opportunity for a frontend-strong engineer who wants real ownership, autonomy, and the chance to build products from scratch. They are looking for someone with strong React and TypeScript capability, alongside solid backend exposure across Python, APIs, and databases. As a Senior Product Engineer, Full Stack, you will play a key role in shaping what gets built, how it is built, and how it evolves as the business scales. For the right person, this is a chance to join a growing company at the right stage and make a visible impact. The role is based in Mayfair, London, with a hybrid setup of 2 to 3 days per week in the office. The role This Senior Product Engineer, Full Stack role has a clear frontend lean. They need someone who can build high-quality frontend products from scratch, while also working confidently across backend services, integrations, and data-driven workflows. The frontend is a central part of the brief, but they want someone who understands the wider system and can contribute beyond the UI. The product sits in a data-rich environment, with workflows across billing, metering, reporting, consumption, and asset performance. They need an engineer who can take complexity and turn it into clean, reliable software that customers genuinely value. This is a high-ownership role in a growing team, well suited to someone who enjoys pace, autonomy, and being trusted to deliver. What you will be doing • Building customer-facing products from scratch using React, TypeScript, and modern frontend tooling, • Owning frontend quality, user experience, and engineering standards, • Contributing across the stack, including backend integrations, APIs, product logic, and Python-based services, • Working with SQL, Databricks, and related data systems, • Turning complex operational and commercial workflows into clear product experiences, • Collaborating closely with product, engineering, data, and leadership, • Strong React and TypeScript experience, • A frontend-strong engineer who can build products from scratch, • Solid backend exposure, ideally with Python, • Experience with databases and data platforms such as SQL and Databricks, • Experience building customer-facing software in a commercial environment, • Strong product instincts and a practical, hands-on approach, • Energy, trading, or fintech experience, • Startup or scale-up background, • Data visualisation experience, • High ownership from day one, • The chance to build frontend products from scratch, • Real influence over product and technical direction, • Broad exposure across frontend, backend, data, and product This is a strong opportunity for a Senior Product Engineer, Full Stack who wants to build meaningful products in the energy market, with real autonomy and scope to grow. If you are strong in React and TypeScript, but also comfortable across backend systems, Python, APIs, and data platforms, this role offers the chance to make a genuine impact in a growing business.

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Director, Head of Talent Acquisition (Europe) The Head of Talent Acquisition, Europe is a leadership role responsible for leading and executing the end-to-end talent acquisition strategy across the business, with a primary focus on the UK Card, Velocity Black, and Global Payments Network (formally Discover) business units. The core mandate is to ensure the international business secures top-tier, future-ready talent to achieve its ambitious growth targets and maintain market share leadership, while optimising recruitment efficiency and rigorously upholding all regulatory standards related to hiring practices. This role will be the operational and strategic owner of the talent acquisition function in the region. What you’ll do 1. Strategic Talent Acquisition Partnership * Business Translation: Partner closely with the UK Leadership, US Talent Acquisition and HR Business Partners of UK Card, Velocity Black, and Discover to forecast talent needs, understand market dynamics, and proactively design and implement tailored recruitment programs that directly support and accelerate business outcomes. * Workforce Planning & Pipeline: Lead the functional execution of strategic workforce planning for talent acquisition. Anticipate and address future skills gaps, particularly in critical UK segment roles (e.g., analytics, fraud, software engineering) by developing deep, sustained talent pipelines. * Recruitment Efficiency & Investment: Own and optimise all key talent acquisition metrics (cost-per-hire, time-to-fill, quality-of-hire, candidate experience). Manage the TA function's investment and budget based on projected business impact and ROI. 2. Talent Acquisition Excellence * End-to-End Ownership: Own and drive the complete talent acquisition lifecycle for the UK business segments. Drive a unified strategy that seamlessly links sourcing, screening, hiring, and onboarding processes. * Operational Excellence: Oversee the Talent Acquisition team to ensure a hiring pipeline focused on securing top-tier talent. Implement best-in-class recruitment technologies and processes to maximize recruiter productivity and effectiveness. * Brand & Sourcing Strategy: Iterate on and execute a compelling employer branding strategy for the region. Lead advanced sourcing strategies to attract passive and diverse candidates for high-demand roles. * Talent Integration: Partner with HR Business Partners and Leadership Development teams to ensure newly hired talent is effectively integrated and set up for success and long-term retention. 3. Operational Integrity and Governance * Compliance and Risk: Serve as the functional expert for all UK statutory, regulatory, and legislative requirements related to hiring and selection practices. Own and mitigate compliance risks within the talent acquisition process. * HR Shared Services Alignment: Collaborate closely with UK HR Shared Services to ensure seamless and efficient delivery of TA operational tasks, including data integrity, reporting, and offer management. * Policy & Standards: Establish and maintain robust TA policies and controls that meet the highest standards of corporate governance and ensure a fair, consistent, and equitable hiring process. What we're looking for * Senior Talent Acquisition Leadership: Progressive talent acquisition experience operating as a functional Head or Director of Talent Acquisition in a complex, international, and regulated industry (e.g., Financial Services). * Functional Mastery & Commercial Acumen: Deep, proven expertise in all facets of the Talent Acquisition function (sourcing, operations, employer branding, analytics). Demonstrated ability to articulate recruitment strategy in financial and business terms (e.g., quantifying the impact of TA on business goals). * Enterprise Navigation: Strong ability to navigate and influence enterprise HR functions and global decision-making processes, ensuring the TA strategy is aligned with the parent organisation. * International Regulatory Expertise: Proven expertise in navigating multi-jurisdictional employment law and compliance specifically as it relates to recruitment, selection, and hiring within the UK and Europe. * Data-Driven Influence: Strong capability in using workforce and TA analytics to diagnose pipeline issues, predict future needs, and drive functional and executive decision-making. Where and how you'll work This is a permanent position and can be based in our Nottingham or 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 Nottingham or London office 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. 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 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 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.

Information Modeller - Data, Sparx EA, UML, BPMN / ArchiMate £Market Rate (Inside IR35) London / Remote (1-2 days in office per month) 6 Months initial contract My client is a large International Consultancy, who are hiring an Information Modeller with strong Data experience and working knowledge of Sparx EA, UML, BPMN / ArchiMate to work closely with a high profile end customer. Key Requirements: • Proven Information Modelling experience, • Strong background in Data (Governance, Modelling, Architecture), • Demonstrable experience with Sparx Enterprise Architect, • Previous experience of UML for interaction notation regarding interfaces and integrations as well as class notation for static and integration data, • Working knowledge of BPMN / ArchiMate for processes / strategy, • Experience of applying agreed modelling techniques, standards, patterns and tools, • Ability to enable users to find information through appropriate use of metadata and search tools, • Previous experience of contributing to the development of solution architectures in business, infrastructure or functional areas, • Capability to organise knowledge assets and oversee the lifecycle of identifying, capturing, classifying, storing and maintaining assets, • Ability to develop the physical schema for a relational database from a subset of an information model (simple concepts, enumerations, compositions, generalisations, simple constraints, complex constraints, time series / historical data etc), • Working knowledge of developing interaction diagrams and message request / response payloads for GET, DELETE, POST, PUT, and PATCH http requests, • Proven experience in the Energy / Construction / Transport / Engineering sector(s) Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you’ll do * Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. * Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. * Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. * Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. * Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we’re looking for * Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. * A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. * Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices * Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. * Familiarity with both pre-training and fine-tuning of large-scale models * Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. * A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. * A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We’d love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. 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 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.

My market leading Client is urgently recruiting for an experienced Programme / Project Manager to join a global Document Management Programme aimed at transforming how master documents are stored, searched, and accessed across their markets. The programme's objective is to create a consistent, scalable solution that makes master documents easy to find, search, and manage across the organisation. The programme is currently at the mid-point of delivery, with four additional countries remaining and approximately 1 million documents still to be cleansed, prepared, and migrated. The current solution landscape is largely built on Microsoft SharePoint and supporting SaaS-based classification tools, with an emerging vision to incorporate AI-enabled capabilities (potentially within the Microsoft ecosystem or other platforms) to enhance search, classification, and document management functionality. Key Challenges This role will play a critical part in addressing several programme challenges, including: * Large-scale document cleansing and readiness activities prior to migration * Ensuring quality and consistency across large document volumes * Driving business change and adoption of new document management processes and controls * Rebuilding stakeholder confidence in programme progress and outcomes * Navigating an evolving technology landscape while maintaining delivery momentum Skills & Experience * Proven experience as a Senior Programme / Project Manager delivering large-scale document management or data programmes * Experience working with Microsoft SharePoint or similar enterprise content management platforms * Strong understanding of document migration, data cleansing, and information governance * Experience delivering programmes involving SaaS solutions and evolving technology stacks * Exceptional stakeholder management and communication skills, particularly in complex or challenging programme environments * Strong problem-solving ability with a structured approach to delivery * Comfortable operating in ambiguous or evolving environments * Experience managing third-party vendors and multi-country rollouts If you have the document management experience, ideally SharePoint skills, happy to be on site in London 2/3 days a week and work inside IR35 please send an up to date CV for an immediate response and more information on a fantastic opportunity with a truly great Client.

White Collar Factory (95009), United Kingdom, London, London Manager, Compensation Consulting About this role Here at Capital One, Compensation is an important component of our Total Rewards strategy which focuses on Delivering Total Rewards that compel the best people to join and stay with Capital One and empower them to live their best lives. We are looking for a Manager, Compensation to join our International compensation team and who are detailed, results-oriented and flexible with the ability to manage multiple initiatives in a fast-paced environment. This role is responsible for designing, planning, and implementing compensation programs, policies, and procedures across our international footprint. We work in a business-casual, collaborative environment where one’s contributions are recognised, successes are elevated and effort is rewarded. We bring an analytically rigorous, data-driven approach to compensation and are focused on improving the associate experience including associate understanding of pay. The ideal candidate for this role should exhibit strong communication, influencing, and problem solving skills towards all stakeholders. Experience gathering requirements and digging into the details of business objectives along with the ability to translate these requirements into terms that others can develop solutions for is critical. We bring a data-driven approach to compensation. If you have a passion for analysing compensation and want to be part of a winning team, then this is the job for you! What you’ll do * Partner with HR and senior business leaders to develop pay programs for our International Business while exhibiting strong communication, influencing, and problem solving skills and ensuring alignment with the HR and business strategy for Capital One internationally * Deliver expert compensation consulting and develop proposals and presentations about compensation programs (including market data and appropriate pay levels/targets) to influence and educate senior level decision-makers * Serve as the primary compensation point of contact for mid-year and year-end compensation cycles for assigned client groups, ensuring smooth execution and managing within internal and external controls * Contribute to strategic compensation projects, key initiatives or processes horizontally across client groups * Collaborate with recruiters to develop competitive offer packages for external hires * Perform deep analysis on effectiveness and competitiveness of existing compensation programs and model potential impact of alternatives * Conduct benchmarking and job evaluations using market data and internal evaluation, and regularly analyse our market position on jobs; make recommendations on market adjustments * Research and formulate recommendations on external and internal employment offers, job leveling, and internal equity adjustments through the use of salary surveys and internal compensation tools * Draft plans, educational materials, and communications designed to provide associates, managers, and HR partners with timely and accurate information regarding compensation initiatives * Be an influential HR leader who thinks beyond compensation programs and builds strategic initiatives in close partnership with our HR analytics and benefits teams * Demonstrate an understanding of labour and pay equity laws to effectively audit, analyse and develop internal compensation practices inclusive of corrective actions as needed * Provide compliance consultation to HR and your business clients What we’re looking for * Compensation management experience, preferably within a regulated industry * High level of experience with building compensation models and conducting pay analysis * Experience in a client consulting role * Advanced Google Sheets / Excel skills (VBA, macros, array functions) and experience in developing data-based stories in Powerpoint / Google Slides * Great attention to detail to understand compensation analytics and how to present to senior business leaders * Ability to work cross-functionally and globally with lots of stakeholders to drive compensation decisions * Experience with Workday (desirable) * Experience with benchmarking tools (BetterComp) or reporting tools (Tableau, Business Objects) * Knowledge of human resources and compensation, including knowledge of Local laws/regulations relating to compensation Where and how you'll work This is a permanent position and can be based in our Nottingham or London office. We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. 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 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.

Senior Data Modeller - Insurance & London Market Location: London (Hybrid) Overview A London Market insurance organisation is seeking a Senior Data Modeller to design and govern enterprise-grade data models across core insurance domains. This role requires deep domain knowledge, hands-on modelling expertise, and the ability to work closely with senior stakeholders. Key Responsibilities • Design and maintain enterprise data models across policy, underwriting, claims and reinsurance, • Develop and govern Data Vault and Dimensional models, • Select appropriate modelling approaches based on integration, analytics and audit requirements, • Design data structures aligned to cloud and Medallion architectures, • Lead data modelling workshops and design sessions, • Extensive experience as a Data Modeller within Insurance, ideally London Market, • Strong domain knowledge of Delegated Authority, Reinsurance, • Expert understanding of Canonical, Data Vault, and Dimensional modelling, • Experience working with cloud data platforms, • Strong SQL skills for data profiling and validation, • Hands-on, high-impact modelling role, • Complex London Market data challenges, • Opportunity to shape enterprise data foundations

Important High Level Summary Notes Please read the below high-level overview carefully, and if this position is of interest please contact me directly for a chat - my details are below:Lorenz Pasch at Hays Recruitment. My mobile and email address are available on my LinkedIn Profile.This role is not suitable for candidates whose experience is limited to hands-on technical delivery, infrastructure engineering, or purely managing small teams without regional ownership. You must be able to demonstrate: • Ownership of technology operations or service delivery across a region, country, or major business unit, • Acting as the senior escalation point for major incidents and service issues, engaging directly with business stakeholders, • Strong experience across incident, problem, and change management in enterprise environments, • Proven ability to manage service performance (SLAs/KPIs) and drive operational stability What You'll OwnRegional Service Delivery & Stability: Own service performance across the region, ensuring SLAs, KPIs, and operational standards are consistently met.Major Incident & Escalation Leadership: Act as the senior escalation point for critical incidents, driving resolution, communication, and stakeholder confidence.Stakeholder Engagement: Build strong relationships with regional leadership, acting as the trusted interface between the business and Technology Operations.Operational Governance: Ensure consistent execution of global processes across incident, problem, change, and service management.Demand & Change Oversight: Govern regional demand for small change, ensuring prioritisation, alignment, and control.Financial & Cost Awareness: Own regional operational budgets, ensuring cost transparency, forecasting accuracy, and financial accountability. What We're Looking ForYou will bring experience from enterprise-scale environments, where operational performance, stakeholder engagement, and service stability are critical. Key experience includes: • Leadership of IT Operations or Service Delivery at regional level, • Strong command of ITIL-based service management frameworks, • Proven experience acting as a business-facing escalation lead, • Ability to translate operational performance into business impact, • Experience managing or influencing MSP/vendor delivery environments, • Real ownership: Full accountability for UK&I technology operations, • Business exposure: Direct engagement with senior stakeholders, • Impact: Ability to drive measurable improvements in service stability and performance

Important High Level Summary Notes Please read the below high-level overview carefully, and if this position is of interest please contact me directly for a chat - my details are below:Lorenz Pasch at Hays Recruitment. My mobile number and email are available on my LinkedIn profile.In order to proceed with an application for this position, you must be able to demonstrate: • Direct experience managing technology vendors or MSPs in an enterprise environment, • Strong involvement in contract lifecycle management (renewals, obligations, commercial terms), • Experience challenging suppliers on performance, service quality, and commercial outcomes, • Ownership of SLA/KPI frameworks, vendor scorecards, and performance reporting What You'll OwnVendor Performance & GovernanceManage vendor performance through structured scorecards, SLA/KPI frameworks, and regular service reviews. Drive accountability and continuous improvement.Contract Lifecycle ManagementOwn contract tracking across renewals, obligations, risks, and milestones. Ensure contracts are actively managed, not passively maintained.Commercial OversightSupport cost transparency, consumption analysis, and optimisation initiatives. Identify risks, inefficiencies, and opportunities to improve value.Supplier Challenge & EscalationManage commercial escalations, disputes, service credits, and corrective actions. Hold vendors accountable for delivery and contractual commitments.Reporting & InsightProduce performance dashboards, QBR packs, and governance reporting, providing clear insight into vendor performance and risk. What We're Looking ForYou will bring experience from enterprise-scale environments where vendor ecosystems are complex and performance matters.Key experience includes: • Vendor or supplier management within technology environments (cloud, infrastructure, telco, platforms), • Strong understanding of contract structures, commercial terms, and vendor obligations, • Experience working with Procurement, Legal, and Finance stakeholders, • Ability to interpret performance data (KPIs, SLAs) and drive action, • Confidence to challenge vendors and manage difficult conversations, • Real impact: Direct influence over vendor performance and cost across a large technology estate, • Exposure: Work closely with senior stakeholders across Technology, Procurement, and Finance, • Complexity: Engage with multiple vendors across infrastructure, cloud, and platform services Lorenz Pasch at Hays Recruitment. My mobile number and email are available on my LinkedIn profile. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Microsoft Data & Analytics Practice Lead £600–£675 per day | Inside IR35 | Initial 6 monthsLocation: UK (occasional travel) A market-leading technology organisation is seeking a Microsoft Data & Analytics Practice Lead to help shape and scale its Microsoft Data & Analytics capability. This senior role combines practice leadership, technical authority and pre-sales engagement, supporting enterprise-scale data and analytics transformation. You will lead the evolution of Microsoft Fabric, Purview and Power BI propositions, support new business activity, assure complex solutions, and develop high-performing data teams. Key Responsibilities • Shape and deliver the Microsoft Data & Analytics practice strategy and offerings, • Support pre-sales, bids and senior client engagements, • Provide technical leadership and assurance across enterprise solutions, • Lead and develop architects, engineers and analysts, • Proven leadership in Microsoft Data & Analytics within consultancy or large enterprise environments, • Strong expertise in Microsoft Fabric, Purview, Power BI, data architecture and modelling, • Experience with Python, PySpark and T-SQL, • Confident influencing senior stakeholders and shaping enterprise solutions

.NET Developer (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Programmer, Full Stack Engineer, Architect, .NET Developer)At this very moment our client is constructing the world's first intelligent answer engine based on semantic information recognition. This new search engine is based on innovative cloud data technology which doesn't recognise meaning by search words but rather by the correlation as regards to content and is able to generate answers from data. Our client has had some of the brightest minds in .NET software development working on this product for the past 3 years and feels it is now time to take the market by storm. Their ultimate goal is to overtake Google by 2027. In line with this, they have begun a period of aggressive expansion and have opened a stylish new UK office. As part of this, they are looking to recruit the next generation of .NET Developer to take this search engine to new heights. They are looking for .NET Developer who have experience in .NET, .NET Core, C# and Azure SQL. You will receive training in all aspects of: .NET 10.0, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Node.js, Elasticsearch and MongoDB. These .NET Developer positions come with the following benefits: • 10% bonus (5% based on personal performance, 5% based on company performance)., • Generous pension scheme and private healthcare., • Training allowance of £10,000 per year., • Free lunch., • Summer exchange programme with European offices (the company will pay for accommodation for you and your family for a period of up to six weeks)., • 27 days holiday (excluding Bank Holidays) plus your birthday off., • Flexible working hours., • Team BBQ every Friday afternoon during the months of July and August (early finish)., • Free gym membership., • 2 days per month allocated for team building activities Location: London, UK / Remote Working Salary: £80,000 - £100,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETRECNOIRUKREC NC/NET/126

Data Architect - Insurance & London Market - London (Hybrid) - Cloud Data Platforms - Up to £90,000 This is an exciting opportunity to join a well-established, highly respected organisation in the London Market insurance space that is investing heavily in its data, analytics and AI capability. They're at a point where data architecture is crucial, shaping how data is used across underwriting, claims, pricing and reinsurance. You'll have real ownership and the chance to influence decisions that affect the whole organisation. If you enjoy working in complex environments, partnering with senior stakeholders and designing data architecture that stands the test of time, this is a place where your work will be visible, valued and impactful. You will work with • Senior business stakeholders across underwriting, claims, pricing and finance, • Enterprise, solution and security architects, • Data engineering, analytics and data science teams, • Governance and data ownership communities, • Technology and transformation leadership What you'll be doing • Owning and shaping enterprise and solution data architecture across insurance domains, • Designing modern cloud-based data platforms, including Medallion (Bronze/Silver/Gold) architectures, • Producing and maintaining conceptual, logical and physical data models, • Acting as a design authority, presenting options and recommendations at architecture forums, • Supporting data products, analytics and AI use cases (pricing, claims, exposure, reporting), • Defining and embedding data governance, quality, lineage and master data approaches, • Translating complex insurance operating models into scalable, governed data designs, • Engaging senior stakeholders and turning technical architecture into clear business outcomes Benefits / What's on offer • High-impact, senior architecture role with real ownership, • Exposure to enterprise-scale data, analytics and AI initiatives, • Collaborative environment with strong investment in technology, • Long-term career progression and influence at enterprise level Key experience required • Proven experience as a Senior / Lead / Enterprise Data Architect, • Strong background in Insurance and the London Market, • Experience designing cloud data platforms (Azure, AWS or GCP), • Strong data modelling, governance and analytics knowledge, • Comfortable operating at enterprise level, influencing senior stakeholders, • Able to balance strategic architecture with pragmatic delivery Apply now If you're a senior data architect in insurance looking for a role with influence, ownership and long-term impact, this is well worth a conversation. Apply now or send your CV directly!

Senior BMS Project ManagerUK Wide (Projects across Germany, UK & wider Europe) £80,000 - £120,000 + Package + Travel + Bonus + Accommodation + Holidays + Long-Term Progression + Pension + Immediate Start An excellent opportunity for a senior BMS / Controls professional to step into a lead role with a rapidly growing, market-leading contractor delivering mission-critical projects across Europe. This role is suited to someone who has operated at the interface between main contractor, client, MEP teams, and BMS vendors, and is comfortable owning the BMS strategy, delivery, and commissioning across complex, high-value projects. You'll be joining a business with a strong pipeline of data centre, pharmaceutical, industrial, and high-tech builds across Germany, the UK, and the EU. The position offers long-term security, exposure to flagship projects, and clear progression into regional / EMEA leadership. This is a site-led, delivery-focused role - not a desk-based controls position. The successful candidate must be willing to travel and stay away as projects require. The Role will include: • Taking full ownership of the BMS / Controls / EPMS package from design through construction, commissioning, and handover, • Acting as the technical authority for BMS across one or multiple projects, • Managing and coordinating BMS subcontractors, system integrators, and vendors, • Reviewing BMS and M&E design information to ensure buildability, compliance, and programme alignment, • Leading technical discussions with consultants, client teams, and internal delivery teams, • Managing RFIs, design queries, change control, and technical risk, • Ensuring full integration of BMS with M&E systems (HVAC, electrical, life safety, EPMS, etc.), • Overseeing QA/QC, inspections, snagging, and documentation, • Supporting and leading commissioning, IST, and final client handover, • Strong BMS / Controls background with proven site delivery experience, • Experience working on data centres, pharma, industrial, or other mission-critical projects, • Background from a main contractor, MEP contractor, BMS vendor, or specialist integrator, • Comfortable managing multiple stakeholders and holding authority on technical matters, • Willingness to be site-based and travel / stay away as projects require, • Strong communication, coordination, and leadership skills, • Senior BMS Project Managers / Automation Leads looking to step into a broader EMEA role, • Vendor-side Principal / Lead BMS Engineers seeking a move client- or contractor-side, • High-end BMS Package Managers with leadership stretch Keywords: BMS Lead, Senior BMS Project Manager, BMS Package Manager, BMS Manager, Controls Manager, Controls Lead, Automation Lead, BMS Engineer, Senior BMS Engineer, Principal BMS Engineer, Controls Engineer, Automation Engineer, BMS Project Engineer, EPMS, SCADA, Building Management Systems, Data Centre, Mission Critical, Critical Infrastructure, Pharmaceutical, Industrial, Manufacturing, Logistics, Main Contractor, MEP Contractor, General Contractor, Commissioning, IST, CSA, HVAC Controls, Electrical Systems, Integration, System Integrator, Siemens, Schneider Electric, Honeywell, Trend, Johnson Controls, Europe, EMEA, Germany, Frankfurt, Berlin, UK, London

Senior Marketing AnalystLondon - hybrid 3x a week Up to £85,000 + equity This is a high impact Senior Marketing Analyst role sitting at the centre of growth and commercial decision making within a fast paced, product led fintech. You will take ownership of marketing analytics across a complex, multi-product environment, with a particular focus on attribution, experimentation, and driving efficient growth in a key international market. The Company They are a highly data driven fintech operating a consumer app across lending and financial products. Known for strong analytical standards and commercial focus, they have been profitable for several years and continue to scale at pace, including significant expansion into the US. Data is deeply embedded across product and growth teams, with analytics playing a critical role in shaping strategy. The Role • Partner closely with growth and marketing teams to support performance analysis and commercial decision making, • Analyse marketing spend across digital channels including paid social and search, assessing efficiency and ROI, • Own attribution analysis to understand where customer applications originate, including multi touch attribution models, • Optimise end to end customer funnels, identifying drop offs and conversion opportunities, • Analyse complex customer journeys across financial products and recommend alternative pathways for rejected users, • Build models to answer commercial questions such as incrementality, uplift and new channel effectiveness, • Apply statistical techniques to support experimentation, testing and investment decisions, • Strong commercial marketing analytics experience within consumer technology or digital products, • Advanced SQL and Python skills, with Python central to analytical work, • Proven experience with attribution modelling and complex channel analysis, • Hands on experience with experimentation, AB testing and statistical analysis, • Ability to structure ambiguous problems and deliver clear, actionable insight, • Salary up to £85,000, • Equity participation, • Hybrid working with three fixed days per week in the London office, • High visibility role with clear ownership and impact

Product Manager London (Hybrid x 2 days per week in office) £58,380 per annum Our client is a national charity dedicated to supporting organisations that work directly with people experiencing homelessness in England. The charity focuses on improving services and advocating for policy changes aimed at ending homelessness. The Product Manager will develop and own the product strategy for the platform, based on comprehensive knowledge of the market, customers, users, and the broader charity and housing sector. This position involves analysing market, customer, and competitor trends, defining product positioning, creating business cases, setting pricing strategies, developing roadmaps, and planning go-to-market approaches. The chosen Product Manager will be responsible for achieving product goals and ensuring the overall success of the product portfolio. Experience & Skills Required: Essential: • At least three years as a SaaS focussed Product Manager for a commercial software product, showing responsibility for strategy, business cases, and the product roadmap., • Proven ability to use market and customer insights to develop new offerings and achieve measurable business results., • Demonstrated experience collaborating with UX, engineering, sales, and marketing teams to deliver and launch product enhancements., • Demonstrated experience within charities, housing, or homelessness services, including sector expertise and relevant networks., • Previous involvement in Salesforce ISV/OEM product development or employment with a Salesforce-focused organization. Product strategy & vision • Establish and uphold the vision, value propositions, and long-term strategy for the In Form product portfolio., • Oversee alignment of individual product roadmaps and releases with strategic objectives and organizational priorities., • Conduct market research and analyse competitor activities., • Monitor key market factors such as technological advances, regulatory changes, and industry shifts, then identify how these can lead to new product opportunities., • Oversee research involving both existing customers and potential clients., • Create business cases and financial models to support investment decisions., • Develop product propositions and launch plans., • Coordinate with Sales and Marketing for go-to-market activities., • Define and embed lifecycle processes across the product portfolio, covering ideation, research and validation, proposition development, progression to delivery and launch, • Define and oversee KPIs, and product analytics to measure them;, • Present product strategy and updates to leadership, sales, partners and external audiences., • Act as a product ambassador work closely with Product Owner, UX Designer, Technical Architect, Release Manager, Sales, Support, Delivery and Marketing to ensure commercial and operational readiness., • Maintain product artefacts (business cases, pricing docs, roadmaps, competitor dossiers, stakeholder briefs) and ensure decisions are recorded and communicated.

Solace Middleware Engineer We are seeking a Solace Middleware Engineer to join our specialised middleware and application platform support team within the Global Investment Bank's dedicated low-latency infrastructure. This role is pivotal in supporting electronic trading systems across Forex (FX) and Fixed Income (FI) markets. The successful candidate will possess deep technical expertise in Solace middleware and a practical understanding of trading workflows and ultra-low latency requirements. * Essential Skills: • Expert-level knowledge of Solace PubSub+ platform., • Hands-on experience configuring Solace message VPNs, queues, topic endpoints, bridges, and DMR., • Proven ability to tune Solace for ultra-low latency trading environments., • Strong knowledge of messaging middleware technologies and multicast messaging protocols., • Specific experience with market-facing and low-latency infrastructure for Forex and Fixed Income trading., • Strong Linux/Unix administration skills with focus on network and messaging performance tuning., • Automation and scripting proficiency (Python, Shell scripting, SQL). Experience & Soft Skills: • Strong experience in technical platforms or infrastructure support, preferably in electronic trading or capital markets technology., • Ability to work under pressure, • Project management collaboration skills for gathering technical requirements. Solace Messaging Infrastructure: • Architect and administer the enterprise Solace PubSub+ platform supporting real-time trading applications., • Design and implement Solace messaging patterns optimized for low-latency trading., • Configure and tune Solace brokers, message VPNs, queues, topic endpoints, and client profiles for optimal performance., • Manage Solace high-availability configurations including primary/backup broker pairs and replication., • Implement Solace DMR (Dynamic Message Routing) for inter-datacenter message distribution., • Define and enforce Solace governance frameworks, naming conventions, and messaging standards., • Monitor and optimize message flow performance, identifying and resolving latency issues., • Capacity plan for Solace infrastructure based on trading volumes and growth projections. Trading Application Integration: • Collaborate with CMI development teams globally to integrate trading applications with Solace messaging., • Design topic hierarchies and subscription patterns for market data distribution and trade execution flows., • Implement multicast messaging standards for efficient market data dissemination., • Optimize Solace client configurations for trading applications., • Support message transformation, filtering, and routing requirements within Solace., • Troubleshoot complex messaging issues affecting trade execution and market data delivery. Monitoring & Performance Management: • Deploy and maintain specialized monitoring for Solace infrastructure using ITRS Geneos and Corvil., • Create custom monitoring dashboards for message latency, throughput, queue depths, and broker health., • Establish alerting thresholds and escalation procedures for messaging infrastructure., • Analyse message flow patterns to identify performance bottlenecks and optimization opportunities.

My client in Greater London are looking to appoint a talented MRI - Report Writer on a Contract basis. To design, develop, and maintain high-quality reports within MRI (Capita ONE) to support SEND and Education services. The role involves working closely with stakeholders to translate business requirements into accurate, efficient, and reliable reporting solutions, ensuring both operational and statutory needs are met while supporting improved business processes and informed decision-making. What's on offer: *please submit your CV with the rate you require • Hybrid working, • Contract type: Contract, • Monday - Friday About the role: Based in Greater London (Hybrid): • Design, develop, and maintain reports using Crystal Reports against the Capita ONE database, • Extract, transform, and manipulate complex datasets to produce accurate and meaningful outputs, • Validate and ensure data accuracy, consistency, and integrity across all reporting outputs, • Ensure all reporting solutions comply with data governance, security, and regulatory standards About you:You will have the following experiences: • Extensive experience in a similar role, • Experience working with Capita ONE systems, • Strong hands-on experience with Crystal Reports and SQL, • Local Authority experience is essential How to apply • Once your CV is received, if you are successful you will be contacted., • Due to the extremely high number of applications, it may not be possible to contact every applicant. As such, if you are not contacted please assume you have not been successful on this occasion. About Spencer Clarke Group Here at Spencer Clarke Group, we pride ourselves on connecting you with the best career opportunities; our experienced Consultants have extensive market knowledge and will also provide expert career advice along the way. When you join us, you will receive: • Access to a wide range of temporary and permanent opportunities, • Free DBS checks, • Post Placement Aftercare, • Loyalty reward scheme and regular competitions for our agency professionals INDSCGMM

Important High Level Summary Notes Please read the below high-level overview carefully, and if this position is of interest please contact me directly for a chat - my details are below:Lorenz Pasch - Hays Recruitment: My mobile number and email address are available on my LinkedIn profile. This role requires hands-on experience in CMDB and IT asset management within structured IT service environments. You must be able to demonstrate: • Proven experience managing CMDB data (Configuration Items, relationships, and integrity), • Strong understanding of IT Asset Management lifecycle (hardware, software, cloud), • Experience supporting Change Management with impact and dependency analysis, • Familiarity with ITIL practices (Configuration, Asset, Change Management) A unique opportunity to join Hays, a FTSE 250 recruitment leader with a global footprint, undertaking a bold technology strategy focused on modernisation, digitalisation and innovation to power progress through people and market-leading technology. This position is responsible for ensuring the accuracy, integrity, and governance of configuration and asset data across a complex technology environment.You will play a critical role in supporting Change Management, providing reliable configuration insights, impact assessments, and asset lifecycle transparency to enable informed decision-making. What You'll OwnCMDB Governance & Data Integrity: Maintain accurate, complete, and reliable configuration data, ensuring CIs are correctly identified, related, and managed.Configuration Management Standards: Define and enforce configuration policies, data models, and governance frameworks.Asset Lifecycle Management: Manage IT assets from procurement through to retirement, ensuring accurate tracking and compliance.Change Impact Analysis: Support Change Management by providing dependency mapping, impact analysis, and risk insights.Data Quality & Audit Support: Track data quality KPIs, support audits, and ensure compliance with internal and regulatory standards.Continuous Improvement: Identify data gaps and drive improvements in CMDB and asset management processes, including automation initiatives.Stakeholder Engagement: Act as a key interface across Change, IT Operations, Engineering, and Service teams. What We're Looking For • Experience in Configuration Management / CMDB / IT Asset Management, • Strong understanding of CI relationships and dependency mapping, • Experience supporting Change Management processes, • Strong analytical and data quality mindset, • Experience with ITSM platforms (ServiceNow preferred), • Impact: Direct influence on service stability and change success, • Visibility: Work across engineering, operations, and change functions, • Ownership: Manage critical configuration and asset data foundations

Data & AI Strategy Consultant - Active SC £Market Rate per day Hybrid 4 weeks initially My client is an instantly recognisable consultancy who require Data & AI Strategy Consultants for a business-critical programme for a client within the Public Sector. Key Requirements: • Proven commercial experience Consulting experience from a Strategy perspective within the Data & AI space., • Active SC Clearance., • Experience leading discovery and strategy engagements with senior stakeholders, translating complex business and operational challenges into clear AI, data, and ontology-enabled strategies, including prioritised use cases and value-driven roadmaps., • The ability to define target-state architectures and operating models covering AI, data, and information domains, including semantic/ontology-driven information architecture, platform requirements, and integration with wider enterprise landscapes., • Experience shaping the strategic case for change, developing high-level business cases, investment options, and phased delivery plans that articulate value, risks, dependencies, and readiness for implementation in regulated environments., • The ability to provide deep technical and architectural insight across modern AI/ML (including GenAI), data platforms, knowledge graphs, and semantic technologies (e.g. ontologies, standards, governance), ensuring recommendations are practical, secure, and future proof., • Strong advisory experience with governance, standards, and responsible adoption, defining principles for AI, data, and ontology lifecycle management, ownership, interoperability, and compliance within security-cleared or highly regulated contexts., • Immediate availability. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Commissioning Manager (LV Switchgear) £65,000 - £70,000 + Company Vehicle + 24 Days Holiday + Progression Croydon Are you an aspiring Commissioning Engineer looking to join a market-leading switchgear manufacturer, where you will become the on-site expert for LV Switchgear, powering critical data centre systems in a hands-on, field-based role. In this role you will travel to various data centre sites around London and Slough, where you will be responsible for all site inspections and testing. You will maintain and commission data centre switchgear systems, as well as ensuring complete health and safety compliance among employees and that company requirements are met. This company have been established for over fifty years, growing the team to over 350 employees based at their 130,000 square foot manufacturing facility in Sutton-in-Ashfield. With clients including Red Bull Racing, JCB and Warner Bros - no two projects are the same. This role would suit a Commissioning Engineer with LV Switchgear experience, looking to progress their career to a senior position, where they will become the go to technical specialist on critical power systems. The Role: • Manage the testing of low voltage switchgear at various client sites, • Supervise, review and manage sub-contractor works to ensure they are in line with company requirements, • Manage the day to day on site commissioning operations whilst promoting QHSE compliance, • Commissioning Engineer Switchgear, Electrical, Testing, Maintenance, Commissioning, Safety, Engineering, Engineer, Compliance, Data Centres, Management, Low Voltage, Bromley, Wimbledon, Brixton If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered renumeration will be dependent on the extent of your experience, qualifications, and skill set. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy and Disclaimers which can be found at our website.

Important High Level Summary Notes Please read the below high-level overview carefully, and if this position is of interest please contact me directly for a chat - my details are below:Lorenz Pasch at Hays Recruitment - my mobile number and email address are available on my LinkedIn profile.For this role, you must be able to demonstrate: • Hands-on ownership of Root Cause Analysis for major incidents (P1/P2), • Experience applying structured RCA methodologies (5 Whys, Fishbone, Fault Tree, Kepner-Tregoe), • Ability to analyse technical, process, and organisational causes of failure, • Experience working within Incident, Major Incident, and Problem Management functions, • Confidence to challenge engineering teams and vendors on root causes and corrective actions What You'll OwnRoot Cause Analysis: Lead in-depth RCA across incidents and major incidents, identifying true root causes - not just symptoms.Problem Management: Support Identify patterns, trends, and systemic weaknesses. Drive actions to reduce repeat incidents and improve stability.Data & Investigation: Collect and analyse technical, process, and organisational data to build a complete view of failure points.Reporting & Documentation: Produce clear, structured RCA reports including timelines, impact assessments, and corrective actions.Stakeholder Collaboration: Work closely with engineering, operations, and vendor teams to validate findings and drive remediation.Continuous Improvement: Contribute to operational maturity by improving RCA quality, consistency, and effectiveness across the organisation. What We're Looking ForYou will bring experience from complex IT environments where incident volumes are high and service stability is critical.Key experience includes: • Strong background in Problem Management, RCA, or Major Incident analysis, • Experience in enterprise IT operations environments, • Solid understanding of ITIL processes (Incident, Problem, Change), • Ability to analyse complex technical and process-driven issues, • Strong written and verbal communication skills, • Impact: Direct influence on reducing incidents and improving service stability, • Visibility: Work across engineering, operations, and senior stakeholders, • Complexity: Investigate issues across a global technology environment

Position Title: Senior Business Analyst (Contract) Domain: Markets Risk Technology - Trade Surveillance & Supervisory Location: London (hybrid) Duration: Initial 6 months Start Date: ASAP Role Overview The Senior Technical Business Analyst will support the delivery of a new trade surveillance capability within the Markets Risk Technology function of a major UK bank. The role ensures that surveillance controls, supervisory workflows and associated data flows are designed and documented with a high level of technical precision. The position also contributes to the review and automation of existing manual supervisory controls as new platform capabilities are introduced. This is a technically focused business analysis role. The primary output is accurate, engineer-ready documentation. While business engagement is important, technical rigour is the core requirement. Key Responsibilities • Produce detailed functional and technical specifications for surveillance platform components,, • including alert routing logic, supervisory interfaces, attestation workflows and MI reporting, • Manage review and approval cycles, maintaining full version control and audit-ready documentation Supervisory Controls Assessment, • Document current manual supervisory processes operated across front-office and operations, • Identify automation opportunities and support transition planning as new platform features are, • Deployed Data Flow and Requirements Documentation, • Map end-to-end data flows from trading systems to surveillance platforms, • Identify gaps, ambiguities or incomplete requirements and address these ahead of engineering build phases Governance and Oversight Support, • Prepare documentation for governance forums, including data requirements, scope boundaries,, • decision records and evidence for audit and assurance, • Ensure risks, dependencies and design rationale are clearly documented Skills and Experience Required: • Minimum 10 years' business analysis experience within financial services technology, • Proven ability to produce functional and technical specifications used directly by engineering teams, • Experience working within environments subject to formal governance, internal oversight or external review, • Strong ability to interpret data flows, identify ambiguity and document requirements clearly to avoid rework, • Demonstrable stakeholder management capability, including driving review cycles and tracking, • decisions to closure, • Ability to map manual or supervisory processes end-to-end and produce clear process and, • dependency documentation Desirable • Experience in trade surveillance, market abuse monitoring or first-line supervisory technology., • Background in regulatory change or programmes involving external oversight, • Understanding of cloud-based data pipelines and modern data architectures, • Ability to read SQL and interpret underlying data extraction