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Forvis Mazars is a leading global professional services network providing audit & assurance, tax, and advisory services. Forvis Mazars in the UK spans 14 offices across the nation and has over 3,400 professionals, with 190 partners. We have a clear purpose and a shared commitment to shape a better future. You'll join a collaborative and inclusive team where you're supported to grow your skills, explore new opportunities, and contribute from day one. You'll work with a diverse client base, develop meaningful connections, and gain experience that extends beyond your local team. Together, we grow, belong and impact. We are now looking for a senior individual to join the global Financial Services VAT team, with the role being based in London. Forvis Mazars' Financial Services VAT practice is trusted by clients ranging from some of the world's leading banks, insurers and asset managers to smaller niche players in the sector, to deliver a broad range of services. Within this practice, the Financial Services VAT team provides advisory, compliance and assurance and training services to clients across the world with business activities in the UK. Job Purpose To lead the development of the UK sector offering within Forvis Mazars Financial Services VAT team by developing relationships and building sector knowledge, working closely with the other UK partners and directors focussed on this sector as well as the wider international sector leadership team. We are now looking for the right person to help drive the business forward. The right person would: • Demonstrate significant experience in the financial services, insurance and/or asset management sector and a strong existing network of sector clients and relationships., • Have excellent client relationship building skills, combining commitment to first-rate client service with the curiosity to understand the client's business strategy and assets., • Bring execution capacity, technical excellence, BD focus and strategy, helping to implement the existing business and to drive new business., • Act as a key point of contact for other Forvis Mazars firms with Financial Services VAT opportunities and other UK service lines. Professional Responsibilities: • Deliver high quality technical advice, working with a diverse range of financial sector and insurance clients., • Business development and broader team management to deliver assignments., • Shape and deliver the national sector strategy for Forvis Mazars Financial Services VAT offering., • Develop market intelligence and sector knowledge to prepare for new client opportunities and pitches., • Take the lead on proposal documents for new opportunities and help to convert these., • Build an external network, developing a strong rapport with both existing and target clients and key market constituents., • Lead the team in marketing activity as well as building own market profile., • Build an internal network within Forvis Mazars (both in the UK and internationally), to maximise the value we bring to clients and opportunities for the firm as a whole., • Work as part of an integrated financial services offering, working closely with colleagues across Tax, audit and other advisory teams., • Promote Forvis Mazars Financial Services VAT sector knowledge both within the broader teams at Forvis Mazars and to other relevant parts of the firm., • Manage delivery of client engagements by directing the team to achieve client objectives across various service offerings, • Help to develop our team technically by ensuring that they are properly informed on relevant sector dynamics and a commercial understanding;, • Acting as a mentor to junior team members: help individuals to achieve their potential through coaching, training and development., • Reviewing the work of others and provide real time informal feedback., • Help to ensure that our deliverables and other outputs are visually effective and clear;, • Build broader market relationships and knowledge that will help to ensure that our advice is up to date and informed by the latest technical developments and market insights; help to build the culture of the team so that junior team members also become used to doing this;, • Help to promote a general culture of learning and development across the team from one job to the next;, • The right person is likely to have a number of years of substantial experience of VAT advisory work in the Financial Services sector., • Proven track record of building business and leading teams., • Good understanding of the industry, key sector trends and the key players in the market., • Excellent written and oral presentation skills., • Demonstrable project management skills and ability to work toward demanding timetables., • Track record of building enduring relationships with clients through repeat work., • Ability to interpret and present issues, identify risks and opportunities through sound analysis and application of technical knowledge and commercial acumen., • Be a highly pro-active, confident leader with a proven ability to build constructive professional relationships at all levels, • Detailed understanding of engagement and risk processes used in an accountancy firm context, and experience of applying these., • Tax qualifications such as the CTA would be desirable but not essential., • Fluency in English both written and verbal is mandatory and fluency in a second EU language is desirable At Forvis Mazars inclusion and diversity are central to our values. We recognise that being an inclusive and diverse organisation makes us stronger as a business. We seek to attract and recruit people who reflect the diverse nature of our clients and communities, regardless of sexual orientation, gender identity, ethnicity, nationality, faith or belief, social background, age, and disability. Forvis Mazars selects candidates based on skills, knowledge, qualifications, and experience.

At Forvis Mazars, we're always looking ahead, for our people, our clients and the wider world. Together, we grow, belong and impact. You'll be supported to learn, explore and develop from day one. We celebrate individuality, encourage bold thinking and believe success comes from working together. With us, you'll belong to your local team, gain global experience, and make a meaningful impact now and in the future. About The Team: Our Financial Services practice is an important part of our wider business. With over 35 FS partners and 700 specialist staff in the UK, our growing team provides tailored services to asset management, FinTech, banking and capital markets, insurance and real estate clients. Tax is an integral part of these services. What draws us together is a shared passion for using our FS industry experience and deep service line knowledge to provide bespoke client advice. What You'll Do: • The focus of the role is to help drive and lead across our UK FS corporate tax client engagements incorporating a broad mix of advisory, compliance and audit work across asset management, banking, capital markets and insurance and supporting with the tax technical development of the wider team., • There will be a need to undertake research where required and support with the delivery of cross-border tax compliance, advisory and tax audit engagements., • Help deliver high-quality work for clients and profitable outcomes for the business through use of best practices, technology and alignment with Firm policies., • Qualified at ACA, CA, CTA or equivalent level., • Strong interest in financial services and related tax issues with experience in delivering UK corporate tax engagements for clients across FS sectors., • Good awareness of broader tax, international tax, regulatory and accounting areas., • Able to manage projects, meet deadlines and manage engagement economics., • In line with the Firm's general guidance, work from the London office an average of 3 days a week to drive the delivery and delegation of tax compliance work to junior team members. Forvis Mazars is a leading global professional services network delivering quality across audit, tax, advisory and consulting. We're united by a shared purpose and a strong sense of belonging, with a culture rooted in inclusion, responsibility, and collaboration. With us, you'll be empowered to shape your career, contribute your ideas, and make a difference from day one. We embrace individuality and encourage everyone to bring their whole selves to work. Whether you're looking to stretch your potential, build meaningful relationships or be part of a diverse, forward-thinking team, this is a place where you can thrive. Salaries and Benefits: At Forvis Mazars, we pride ourselves on being a fair and competitive employer, we offer a competitive salary which are based on experience and benchmarking. We have an annual performance-based bonus, and regular salary reviews to ensure you are rewarded for your efforts. You'll enjoy hybrid working options, allowing you to maintain a healthy work-life balance, along with clear career progression opportunities that will support your growth. Our comprehensive benefits package includes wellbeing support because we believe in taking care of our people. Does this sound like the kind of place where you can thrive? Location: ___ – Located in 30 Old Bailey, London, EC4M 7AU. Moments from City Thameslink, St Paul's and Farringdon stations. Ideally positioned in the heart of the City of London, near major landmarks and law courts. Ready to Grow, Belong and Impact? Apply now and join us at Forvis Mazars!

Forvis Mazars is a leading global professional services network providing audit & assurance, tax, and advisory services. Forvis Mazars in the UK spans 14 offices across the nation and has over 3,400 professionals, with 190 partners. We have a clear purpose and a shared commitment to shape a better future. You'll join a collaborative and inclusive team where you're supported to grow your skills, explore new opportunities, and contribute from day one. You'll work with a diverse client base, develop meaningful connections, and gain experience that extends beyond your local team. Together, we grow, belong and impact. Forvis Mazars' Energy, Infrastructure & Environment team is recruiting for a Manager focused on delivering financial modelling training courses to our client base in EMEA. We combine classroom and digital delivery to ensure that clients get the best possible solution for their specific situation. Our client base covers top-tier banks in energy and infrastructure (often project finance teams), advisors, investors, developers and government, and to date we have trained over 20,000 people globally. This highly client facing role is designed to support our regional growth, with involvement in business development, webinars, training module design, client meetings and participation in networking events. This role is part of a truly global team with a strong collaborative culture. Many of our clients work globally, and we work every day to provide high quality, consistent learning experiences in all regions. Across our financial modelling training, financial model build, valuations and financial model audit teams we are close to 200 professionals globally and we are now looking to further grow the training business in EMEA. Forvis Mazars has a flexible approach to remote working and always strive to make the most of the opportunities that new technology and workplace cultures offer. More information about our offering is available here: • Deliver financial modelling training courses in a combination of scheduled public (open) and tailored inhouse course, digital and classroom, • Actively work to build the business, and develop strong client relationships, both in Training and for the broader Energy and Infrastructure sector team, • Proactively collaborate with colleagues in Toronto, New York, Johannesburg, Paris, Delhi and Sydney on a weekly basis, • Prepare and deliver webinars, online tutorials, blogs, and LinkedIn posts, on financial modelling topics, • Travel for classroom courses, typically in Europe, and occasionally to the Middle East, Africa, and North America, • Support the development of courses and specialised delivery with input into tailoring of course content, • Take responsibility for the successful delivery of courses, working with our Client Service Manager (for logistics, venues, etc) and dedicated Business Development team, • Research and explore new courses and modules to ensure that we remain a leader in our field, • Extensive experience in developing financial models for the energy & infrastructure sector, • Excellent written and oral presentation skills, with a passion for teaching at all levels - from Graduates to Executive Management, • Demonstrable project management skills and ability to work toward agreed timetables, • Commercial experience in the energy and infrastructure sector, ideally in development, credit, investments and/or valuations, • Experience of building enduring relationships with clients, • Highly pro-active team player with a proven ability to build constructive professional relationships at all levels, • Passionate about best-practice financial modelling for project finance, valuations and transactions, • Excellent finance and accounting knowledge - ACA, CFA or other certifications are desirable, • Professional level of English both written and verbal, • A second (or thirds) language is desirable, particularly Spanish, French, German and/or Arabic We seek to attract, develop, and retain the best talent, inclusive of sex, ethnicity, disability, socio-economic background, sexual orientation, gender identity, nationality, and faith. We select candidates based on skills, knowledge, qualifications, and experience and aim to support all our team members to reach their potential. At Forvis Mazars, we promote an environment in which you can grow your skills, belong to a team that values your ideas, and make an impact that matters.

At Forvis Mazars, we're always looking ahead, for our people, our clients and the wider world. Together, we grow, belong and impact. You'll be supported to learn, explore and develop from day one. We celebrate individuality, encourage bold thinking and believe success comes from working together. With us, you'll belong to your local team, gain global experience, and make a meaningful impact now and in the future. About the team After recent growth and winning many new clients across the FinTech, Banking and Capital Markets, General and Life insurance, Lloyd's of London, fund and asset management sectors, we have ambitious targets for the future. Tax is higher than ever on the agenda for our FS clients with ongoing geo-political change and significant tax, regulatory and accounting reforms impacting all sectors across FS. To help our clients navigate the existing complexities and future uncertainties, we are recruiting to develop the team and our capabilities to respond to the market. What You'll Do: • We have a newly created Financial Services Tax - Associate Director role (Asset Management) due to the recent success of the Financial Services Tax team., • The predominant focus of the role is to drive our growing Asset Management FS Tax practice., • You will help to lead our go-to-market offering across the Asset Management sector, managing our business development opportunities and have a key role in helping to drive our wider FS Tax strategy., • You will be responsible for managing various teams across FS Tax advisory, compliance and audit of tax engagements., • Manage a portfolio of high-quality work for clients and profitable outcomes for the business through use of best practices, technology and alignment with Firm policies., • Be a role-model to junior team members in our London office in the delegation and review of work as well as fostering their learning and development. What You'll Bring: • Extensive experience in leading a portfolio of FS tax engagements in the Asset Management space across tax advisory services., • Keen interest to maintain up-to-date knowledge of broader business tax, international tax, regulatory and tax accounting areas (e.g. OECD Pillar 2 – GloBE)., • Willingness to take on team management and development roles within the FS Tax team., • Broad experience of managing financials on client engagements, setting timetables, delivering on budgets and negotiating fees with clients., • Experience of identifying opportunities for business development across FS Tax and other service lines. What We Offer: Forvis Mazars is a leading global professional services network delivering quality across audit, tax, advisory and consulting. We're united by a shared purpose and a strong sense of belonging, with a culture rooted in inclusion, responsibility, and collaboration. With us, you'll be empowered to shape your career, contribute your ideas, and make a difference from day one. We embrace individuality and encourage everyone to bring their whole selves to work. Whether you're looking to stretch your potential, build meaningful relationships or be part of a diverse, forward-thinking team, this is a place where you can thrive. Salaries & Benefits: At Forvis Mazars, we pride ourselves on being a fair and competitive employer, we offer a competitive salary which are based on experience and benchmarking. We have an annual performance-based bonus, and regular salary reviews to ensure you are rewarded for your efforts. You'll enjoy hybrid working options, allowing you to maintain a healthy work-life balance, along with clear career progression opportunities that will support your growth. Our comprehensive benefits package includes wellbeing support because we believe in taking care of our people. Does this sound like the kind of place where you can thrive? Location: ___ – Located in 30 Old Bailey, London, EC4M 7AU. Moments from City Thameslink, St Paul's and Farringdon stations. Ideally positioned in the heart of the City of London, near major landmarks and law courts. Ready to Grow, Belong, and Impact? Apply now and join us at Forvis Mazars!

At Forvis Mazars, we're always looking ahead, for our people, our clients and the wider world. Together, we grow, belong and impact. You'll be supported to learn, explore and develop from day one. We celebrate individuality, encourage bold thinking and believe success comes from working together. With us, you'll belong to your local team, gain global experience, and make a meaningful impact now and in the future. About The Team: Our Audit Quality Support Team plays a vital role in maintaining and enhancing the quality of audits across Forvis Mazars in the UK. The team provides technical expertise and strategic support to audit teams throughout the firm, ensuring consistency, compliance, and excellence in our audit delivery. We support client-facing teams through a wide range of services, including: • Responding to complex technical audit enquiries, • Developing and maintaining firm-wide audit methodology As an Audit Manager (MAN), you will work closely with both audit and central teams to champion quality and embed a high-performance culture throughout the service line, and support the senior leadership team including Partners, and contribute to the strategic development of the AQST practice. What You'll Do: • Quality Management Delivery – Support the implementation and embedding of a culture of high audit quality across the firm by strengthening the firm's System of Quality Management (SoQM)., • ISQM (UK) 1 Compliance – Contribute to the delivery of the firm's ISQM (UK) 1 monitoring, testing, and evaluation programme, including control testing, documentation, and remediation tracking., • Control Design & Review – Assist in the design and implementation of new or revised quality controls, identify control gaps, and support remediation processes., • Data & Insight – Use software tools to map and analyse objectives, risks, and controls; maintain relevant documentation and support ongoing process improvement., • Stakeholder Engagement – Communicate regularly with key internal stakeholders on control processes, findings from monitoring activities, and improvement initiatives., • Cross-Team Collaboration – Work closely with other quality-related teams (e.g. Methodology, RCA, Learning & Development) to deliver a coordinated response to audit quality initiatives., • Reporting & Communication – Prepare reports and analysis for leadership, summarising key findings and recommendations from monitoring activities and thematic reviews., • Innovation & Efficiency – Support continuous improvement, suggesting enhancements to quality processes and supporting digital automation initiatives., • Qualification – Professionally qualified (ACA / CA / ACCA or equivalent)., • Audit Experience – Strong background in audit; familiarity with ISQM (UK) 1 requirements is desirable but not essential., • Technical Proficiency – Good working knowledge of Microsoft Office applications (especially Excel), SharePoint, and comfort working with a range of technologies and systems., • Organisational Skills – Strong project management and organisational capabilities, with the ability to prioritise effectively and meet deadlines across multiple tasks., • Communication – Clear and professional communication skills, both written and verbal, with the ability to engage confidently with colleagues at all levels., • Team Player – Collaborative, adaptable, and approachable with a proactive mindset and a commitment to continuous learning and improvement., • Confidentiality – Able to handle sensitive information with discretion and professionalism. Forvis Mazars is a leading global professional services network delivering quality across audit, tax, advisory and consulting. We're united by a shared purpose and a strong sense of belonging, with a culture rooted in inclusion, responsibility, and collaboration. With us, you'll be empowered to shape your career, contribute your ideas, and make a difference from day one. We embrace individuality and encourage everyone to bring their whole selves to work. Whether you're looking to stretch your potential, build meaningful relationships or be part of a diverse, forward-thinking team, this is a place where you can thrive. Salaries & Benefits: At Forvis Mazars, we pride ourselves on being a fair and competitive employer, we offer a competitive salary which are based on experience and benchmarking. We have an annual performance-based bonus, and regular salary reviews to ensure you are rewarded for your efforts. You'll enjoy hybrid working options, allowing you to maintain a healthy work-life balance, along with clear career progression opportunities that will support your growth. Our comprehensive benefits package includes wellbeing support because we believe in taking care of our people. Does this sound like the kind of place where you can thrive? Location: Various – This role can be based in ___, ___, ___, ___, ___, ___ or ___ Ready to Grow, Belong, and Impact? Apply now and join us at Forvis Mazars!

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 • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview 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 experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview 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 experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview 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 experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview 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 experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview 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 experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview 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 experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview 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 experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview 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 experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview 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 experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions. What you'll do • Strong software development experience in Python and/or Java, with an understanding of the Agile software development lifecycle., • Proven Automation experience using Public Cloud or Microsoft Technologies, • Demonstrated ability to design, develop, and deliver AI-driven solutions in a large enterprise environment, following enterprise standards., • Proven record of delivering AI solutions from concept to production with measurable business impact., • Strong analytical and problem-solving skills, with a keen eye for performance, efficiency, and maintainability., • Passionate about AI technologies, automation, and innovation at speed and scale., • Experience in refactoring, optimisation, and writing clean, performant code., • Hands-on experience with enterprise and cloud environments, ideally Azure ML, GCP Vertex AI, or Azure Foundry., • Familiarity with AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is a significant advantage. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Forvis Mazars is a leading global professional services network providing audit & assurance, tax, and advisory services. Forvis Mazars in the UK spans 14 offices across the nation and has over 3,400 professionals, with 190 partners. We have a clear purpose and a shared commitment to shape a better future. You'll join a collaborative and inclusive team where you're supported to grow your skills, explore new opportunities, and contribute from day one. You'll work with a diverse client base, develop meaningful connections, and gain experience that extends beyond your local team. Together, we grow, belong and impact. We are now looking for a senior individual to join the global Financial Services VAT team, with the role being based in London. Forvis Mazars' Financial Services VAT practice is trusted by clients ranging from some of the world's leading banks, insurers and asset managers to smaller niche players in the sector, to deliver a broad range of services. Within this practice, the Financial Services VAT team provides advisory, compliance and assurance and training services to clients across the world with business activities in the UK. Job Purpose To lead the development of the UK sector offering within Forvis Mazars Financial Services VAT team by developing relationships and building sector knowledge, working closely with the other UK partners and directors focussed on this sector as well as the wider international sector leadership team. We are now looking for the right person to help drive the business forward. The right person would: • Demonstrate significant experience in the financial services, insurance and/or asset management sector and a strong existing network of sector clients and relationships., • Have excellent client relationship building skills, combining commitment to first-rate client service with the curiosity to understand the client's business strategy and assets., • Bring execution capacity, technical excellence, BD focus and strategy, helping to implement the existing business and to drive new business., • Act as a key point of contact for other Forvis Mazars firms with Financial Services VAT opportunities and other UK service lines. Professional Responsibilities: • Deliver high quality technical advice, working with a diverse range of financial sector and insurance clients., • Business development and broader team management to deliver assignments., • Shape and deliver the national sector strategy for Forvis Mazars Financial Services VAT offering., • Develop market intelligence and sector knowledge to prepare for new client opportunities and pitches., • Take the lead on proposal documents for new opportunities and help to convert these., • Build an external network, developing a strong rapport with both existing and target clients and key market constituents., • Lead the team in marketing activity as well as building own market profile., • Build an internal network within Forvis Mazars (both in the UK and internationally), to maximise the value we bring to clients and opportunities for the firm as a whole., • Work as part of an integrated financial services offering, working closely with colleagues across Tax, audit and other advisory teams., • Promote Forvis Mazars Financial Services VAT sector knowledge both within the broader teams at Forvis Mazars and to other relevant parts of the firm., • Manage delivery of client engagements by directing the team to achieve client objectives across various service offerings, • Help to develop our team technically by ensuring that they are properly informed on relevant sector dynamics and a commercial understanding;, • Acting as a mentor to junior team members: help individuals to achieve their potential through coaching, training and development., • Reviewing the work of others and provide real time informal feedback., • Help to ensure that our deliverables and other outputs are visually effective and clear;, • Build broader market relationships and knowledge that will help to ensure that our advice is up to date and informed by the latest technical developments and market insights; help to build the culture of the team so that junior team members also become used to doing this;, • Help to promote a general culture of learning and development across the team from one job to the next;, • The right person is likely to have a number of years of substantial experience of VAT advisory work in the Financial Services sector., • Proven track record of building business and leading teams., • Good understanding of the industry, key sector trends and the key players in the market., • Excellent written and oral presentation skills., • Demonstrable project management skills and ability to work toward demanding timetables., • Track record of building enduring relationships with clients through repeat work., • Ability to interpret and present issues, identify risks and opportunities through sound analysis and application of technical knowledge and commercial acumen., • Be a highly pro-active, confident leader with a proven ability to build constructive professional relationships at all levels, • Detailed understanding of engagement and risk processes used in an accountancy firm context, and experience of applying these., • Tax qualifications such as the CTA would be desirable but not essential., • Fluency in English both written and verbal is mandatory and fluency in a second EU language is desirable At Forvis Mazars inclusion and diversity are central to our values. We recognise that being an inclusive and diverse organisation makes us stronger as a business. We seek to attract and recruit people who reflect the diverse nature of our clients and communities, regardless of sexual orientation, gender identity, ethnicity, nationality, faith or belief, social background, age, and disability. Forvis Mazars selects candidates based on skills, knowledge, qualifications, and experience.

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 . Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast . As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects. What you'll do • Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users, • Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data, • Optimise relevance, latency, and response quality for interactive UI components, • Evaluate and improve models using real-world feedback, analytics and experimentation, • Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications, • Contributes to system architecture, model selection, and deployment strategies, • Provides technical guidance and mentorship to junior members of the engineering team, • Participates in Scrum / agile process, • Participates in on-call support with the rest of the team What you'll bring, • Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production, • Working experience and in-depth understanding of: - Large Language Models (LLMs) • Vector databases and semantic search, • Retrieval-Augmented Generation (RAG) • Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset, • Familiar with cloud services (e.g. AWS Lambda best practices), • Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments Big Plus:, • PhD in related subjects, • Extensive machine learning research background, including a cademic publications in ML- related conferences or journals Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. The rewards • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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.

Inside Solution Architect Dell Technologies Presales Academy London (onsite) At Dell Technologies, we create the extraordinary. Our sales professionals rely on proactive technical consultants during the sales process – and our expert Presales team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services, and solutions. From delivering sales presentations and product demonstrations, to developing detailed installations or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Inside Solution Architect on our Dell Technologies Presales Academy Team in London. What you’ll achieve The Dell Technologies Presales Academy is a 12 – 24-month training program designed to develop recent college and university graduates into skilled Inside Presales Solution Architects. The role of an Inside Presales Solution Architect blends the art of sales with the science of technology. We strive to act as trusted advisors to our customers to help recommend and design technology-based products and solutions. Following the training program, participants will be part of our Presales organization where they will work with sales teams and customers to accomplish their IT initiatives and solve business challenges. You will: * Undergo Intensive Academy Training: Participate in a structured training program that covers Dell Technologies’ advanced data center infrastructure, networking, and AI solutions * Learn the Ropes and Stay Ahead: Gain hands-on experience with our cutting-edge data center solutions and explore the latest trends in cloud computing and AI, while discovering how modern IT infrastructure is evolving and helping customers adapt to exciting new technologies * Customer Connection: Develop your skills in understanding customer needs and crafting tailored tech solutions that set us above the rest * Team Collaboration: Work alongside diverse teams to create innovative solutions that tackle real-world challenges * Present with Confidence: Share your knowledge through engaging product demos and presentations that showcase our portfolio’s breadth of comprehensive solutions Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements * Undergraduate or Master's Degree earned in a technical or business related field. Graduated in 2025 or 2026 * Excellent technology skills, outstanding interpersonal abilities, strong written and verbal communication skills * Attention to detail and problem-solving capabilities * Being an innovative thinker and a self-starter with a desire-to-win type mindset * Consultative technical design and selling skills * Apt for technical curiosity and keen on continuous learning Desirable Requirements * Internship experience in technology-related field or a technology company. * Previous relevant experience Who we are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 30 Jan 2026 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy ___. Job ID:R278117

Would you like to explore a rewarding career experience as an Occupational Therapist?.Cygnet Health Care was established in 1988 as an independent provider of health and social care services in England, Scotland and Wales.Up to £46,937 p/a (depending on experience).Learning Disability Mental Health

Join a leading Asset Management Data Solutions provider as Head of QA, where you'll architect and lead our quality strategy in a fully remote capacity. In this pivotal role, you'll build and mentor a distributed QA team while driving excellence across our data platform and solutions that power critical investment decisions for asset managers worldwide. As Head of QA, you'll be the guardian of quality for our sophisticated data solutions, establishing comprehensive QA frameworks that encompass both functional precision and non-functional excellence. You'll design and implement cutting-edge testing strategies, automated tooling, and rigorous processes that ensure our platform delivers accurate, timely, and reliable financial data at scale. Key Responsibilities:Strategic Leadership: · Provide visionary leadership to the QA team, fostering a culture of quality, collaboration, and continuous improvement across a diverse team located both on- and off-shore. · Partner with key stakeholders like the Heads of Engineering, Cloud, Professional Services and Customer Services to ensure QA strategy aligns with all of the wider business goals. · Drive adoption of best practices in test automation, CI/CD, and Agile testing methodologies, focusing heavily on implementing fully automated testing of all releases Technical Excellence: · Offer technical guidance and hands-on expertise in QA practices, ensuring adherence to industry standards and best practices. · Lead the engineering of a Test Automation Framework, ensuring the development and maintenance of automated tests to support continuous integration and delivery processes. · Oversee the creation and execution of Volumetric and Performance Test frameworks to ensure the system’s ability to handle large volumes of data and its performance under different loads. · Innovate and explore emerging technologies and techniques to enhance test coverage, effectiveness, and efficiency. Process Improvement: · Implement and refine QA processes, optimising testing practices and minimising bugs and operational defects. · Embrace the ‘Fail Fast’ principle, encouraging the team to quickly identify issues and failures in the development process to allow for immediate correction and learning. · Continual improvement to assist with the stability and scalability of client release processes to ensure client confidence in change going into their environments. · Promote 'Pair Development' where Software Engineers and QAs work together from the early stages of development; evangelising a culture of shared responsibility for quality. · Establish and track QA metrics to measure team performance, product quality, and value delivery. o Ensure metrics are clear, actionable, and visible across the business. · Proactively seek new QA methods that unlock our time to value and the enablement of fast feedback loops. Tooling and Infrastructure: · Manage QA tools, maintaining their effectiveness and alignment with organisational needs. · Identify and address tooling gaps, making recommendations for enhancements. · Ensure test environments and data meet the needs of QA activities of both the present and long-term future. Collaboration and Support: · Strong communicator able to align teams and expectations while getting the best out of small teams. · Collaborate with cross-functional teams, including Product, Delivery and Engineering to ensure seamless and impactful software deliveries with minimal disruption to live users. · Work closely with the Head of Engineering to align QA initiatives with overall engineering goals. · Own the use of release-note, documentation, backlog, and software libraries – through use of tools such as Jira, Confluence, etc. · Provide adequate test environments, data, and support for team initiatives. · Develop a culture focused on product quality and shared ownership. Team Development and Management: · Undertake a leadership role in team management, overseeing recruitment, onboarding, performance evaluation, and fostering a high level of engagement and development within the team. · Set clear goals and provide coaching to optimize individual and team performance. · Cultivate high engagement, innovation, and collaboration within the team. Key Performance Measures:· Test coverage, scope, speed, and effectiveness o Test automation coverage and reliability o Test Frequency and Speed - How fast can they be ran and how often o Test Portability - Non-prod envs, dev envs, dev machines o Cycle time from code commit to production deployment · Release quality (defect escape rate, hotfixes, user sentiment) · QA process maturity and compliance · Timeliness and visibility of QA reporting · Adoption of CI/CD and Agile testing practices · Level of environment parity across lower environments · QA team engagement, capabilities, and velocity · Percentage of team member’s personal objectives achieved · Engagement of team including understanding and adherence to policies, procedures, and guiderails · Positive feedback from internal stakeholders, observed behaviours and input at meetings · Demonstration of company values through working approach and output.

Founding Engineer – Full-Stack / AI / Early-Stage Startup Location: London (Hybrid 3 days onsite) Employment Type: Permanent Salary: Competitive (DOE) A fast-growing early-stage technology startup is building AI-driven products that power data-heavy workflows across digital platforms. The team operates with high ownership, fast iteration cycles, and a strong engineering culture focused on shipping meaningful features into production. They are now hiring a Founding Engineer to take end-to-end ownership of features across the full stack, contribute to AI-powered workflows, and help shape the technical architecture as the platform scales. This role suits someone who enjoys autonomy, moving quickly, and working across product, engineering, and experimentation in a startup environment. The Role You’ll design and implement production-grade features from initial concepts and designs through to deployment. Working across backend and frontend systems, you’ll help build intelligent workflows using modern AI tooling, contribute to cloud infrastructure and CI/CD pipelines, and experiment with emerging technologies in data engineering and machine learning. You’ll have meaningful influence over architecture, tooling, and product direction while operating in a highly collaborative, early-stage team. What You’ll Be Doing Product Architecture and Delivery • Translate project briefs and product designs into technical architecture and implementation plans., • Own features end-to-end across backend and frontend through to production release., • Contribute to system design decisions as the platform scales. AI and Intelligent Workflows • Build AI-driven features including agent-based workflows and embedding-driven matching systems., • Experiment with LLM-powered tools and apply them to real production use cases., • Design and optimise vector search and embedding pipelines to power semantic search, recommendation, and Retrieval-Augmented Generation (RAG) systems., • Architect and implement agentic AI systems capable of planning, reasoning, tool use, and autonomous task execution., • Explore new approaches in automation, search, and data enrichment. Deployment and Engineering Excellence • Improve and maintain CI/CD pipelines to enable fast, reliable releases., • Contribute to cloud deployments and operational stability., • Promote engineering best practices across testing, monitoring, and code quality. Experimentation and Innovation • Run technical experiments in data engineering, infrastructure, and AI., • Prototype and validate new technologies before moving them into production., • Continuously improve developer experience and delivery velocity. Ownership and Collaboration • Operate across the full technical stack in a high-autonomy environment., • Collaborate closely with product and business stakeholders., • Take responsibility for delivery quality and system performance. Core Experience • 2–3 years of hands-on engineering experience or equivalent project-based experience demonstrating ownership and impact., • Strong commercial experience with TypeScript and Node.js., • Experience delivering production features across backend and frontend systems. Mindset and Attributes • Comfortable operating in ambiguous, fast-moving environments., • Highly organised, proactive, and delivery focused., • Strong problem-solving skills and appetite for learning., • Excited about applying AI and LLM-powered tools to real-world workflows., • Thrives with autonomy and responsibility. Bonus Experience • Exposure to AWS serverless or event-driven architectures., • Mobile development experience (e.g., Flutter). Benefits • Flexible hybrid working model, • Generous Equity, • High ownership and autonomy, • Opportunity to influence architecture and product direction, • Fast learning environment with exposure to AI and modern cloud tooling, • Competitive compensation and early-stage growth opportunity Interview Process • Short introductory call, • In-person technical challenge and interview, • Culture and values interview

Applied AI Engineer Location: Bristol or London (In-person + hybrid option) Employment Type: Full-time Start Date: June-September 2026 Salary: £35,000 to £55,000 Application: Rolling About GenFinance.AI GenFinance.AI is the UK's emerging leader in bringing generative AI to finance and accounting professionals. Our mission: To accelerate the world's finance professionals through rapid, reliable and responsible AI. We work with the institutions that matter: the ICAEW, finance teams in £20m to £150m businesses, and accounting practices navigating the AI transition. We do not build AI models. We deploy them, train people to use them, and advise leadership on adoption strategy. Since launching in June 2024, we have achieved 72% operating margins and repeat contracts with blue-chip clients. Our work includes developing the ICAEW GenAI Accelerator Programme, accessible to 200,000+ members with 250+ videos and 500+ practical use cases. We are building the founding team that will make GenFinance the definitive name in AI for finance. About the Founder Peter Beard has over ten years of experience in finance and accounting. At Ernst and Young (EY), he managed a range of audits (including FTSE and EURO Stoxx 50-listed), contributing to EY's AI research and leading technology transformation projects. Peter was awarded twice by EY UK for his "Significant contributions to innovation initiatives" and "Exceptional technical proficiency and quality commitment". The ICAEW GenAI Accelerator Programme has been produced in collaboration with Peter and GenFinance.AI. He now sits on two ICAEW Advisory Boards (Audit and Assurance Faculty, Members and Commercial Board) and is an Advisory Board Member for the FD Show launching at ExCeL London in 2026. He holds a Perplexity AI Fellowship, connecting him with leaders from Perplexity, Nvidia, Ramp, and other technology companies. LinkedIn: linkedin.com/in/peterbeardaca What We Believe Rapid, reliable, responsible Generative AI needs all three to be successfully implemented. Miss one and it fails. We do not compromise on any of them. Trust is a precious commodity In finance and accounting, trust is the currency that matters most. It takes years to build and seconds to destroy. Everything we do must earn, protect and extend that trust. Speed of thought Generative AI is the step closer for humans to work at the speed of thought. That is the standard we are building towards. From cost centre to value maker Finance teams should make money, not just count it. We help them make that shift. First principles thinking This is the bedrock of effective decision making. No assumptions. Solve from the ground up. The back office is neglected Everyone is chasing the prize for the front office. Meanwhile, the back office of GenAI adoption is largely ignored, despite real demand from business owners. That is where we focus. Lasting change, not demos Value is created through lasting work with customers that truly changes their results and work patterns. It means they can go home slightly earlier. It means they can take that project off the shelf because they have saved the time. It means they can cut prices to consumers so everyone benefits. That is what success looks like. How We Work We operate with a flat organisational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritisation skills are important. This is not a place where you wait to be told what to do. If that does not excite you, this is not the right role. About the Role This is a founding team role. We are a lean company, just a handful of people building something that matters. You will be joining at the ground floor, not as employee number fifty. You will be the person who knows our tools better than anyone. How they work, where they break, and how to connect them to real business data. You will work directly with the founder to build GenFinance's technical capability from the ground up: mastering Model Context Protocol (MCP), testing every serious AI tool on the market, and creating the playbooks that let us deploy AI for clients rapidly and reliably. Everything you build will be used. By clients, by the team, and by the thousands of finance professionals who will come to rely on our guidance. Here is what you will actually do: • Become an expert-level user of generative AI platforms (Claude, ChatGPT, Gemini, Copilot, Perplexity, Grok), • Master Model Context Protocol (MCP), API, and build our library of data integrations, • Test, evaluate, and grade AI tools for finance, • Participate in research, both field and desk, to help disseminate signal from noise. We are the ones who help our clients decipher what matters, with the trust that has been earned., • Create setup guides, scripts, and documentation for rapid client deployment, • Conduct research on AI developments and translate findings into practical insights, • Contribute to published thought leadership content, • Support client engagements by handling technical integration questions, • Help develop proprietary AI tools, from proof-of-concept to client demos, • Represent GenFinance in our online community, fielding technical questions This is a startup. The nature of a founding team role means there will be ancillary tasks beyond your core remit. You will need to be open to what the business needs. It is a varied role, and that is part of what makes it valuable. Why This Role Matters (For You) If you are hungry to grow, this is your shot. You will get exposure to every major AI platform before most people know they exist. You will work directly with a founder who has Big 4 technology and AI advisory experience. You will shape a company's technical direction, not just execute someone else's vision. Your skill set will grow exponentially faster here than it would inside a larger company. You will develop more in one year than in three elsewhere. More importantly, you will help an entire profession work better. If you find meaning in that kind of work, you will love this role. If you are not ready for a fast-paced environment where you figure things out yourself, this is not the role for you. To Win In This Role, You Need Required: • Demonstrated obsession with generative AI tools. Daily usage, pushed limits, informed opinions., • Deeply curious about the world and likes to connect dots, • Technical ability to work with APIs, read documentation, and figure out integrations independently, • Strong written communication. You can explain complex concepts to non-technical audiences., • Self-directed learning. You do not wait to be told what to explore., • Comfort working hard and solving hard problems, • Excitement for the challenge of a founding team, not looking for structure handed to you Preferred: • BSc or MSc in a related field (Computer Science, Mathematics, Engineering, or similar), • Experience with MCP or similar data integration approaches, • Background in a technical role (software development, data engineering, technical consulting), • Familiarity with finance or accounting concepts, • Previous use or experience with accounting software (Xero, Sage, Oracle NetSuite, SAP), • Experience producing technical content (blogs, documentation, tutorials) Not Required: • Machine learning research experience. We deploy models, we do not build them. Results You will be measured on outcomes that matter: • Build and maintain GenFinance's integration capability. The playbooks, documentation, and tooling for any client deployment., • Create the industry's most trusted AI tool directory for finance professionals, • Produce published content that establishes GenFinance as a technical authority, • Support successful client deployments with zero integration failures, • Contribute to product development that results in working prototypes in front of real clients, • Help secure technical partnerships with major AI platform providers Location and Environment Bristol or London. In person We come to the office because the best work happens in unexpected moments of collaboration. We will give you focused work zones and the assets you need to succeed. Quality equipment, proper setup, the tools to do your best work. Work from home can be offered. Once we know your capability to get the job done, flexibility follows. Visa sponsorship is possible for exceptional candidates who also demonstrate exceptional technical English speaking ability. Benefits • £35,000 to £55,000 base salary (dependent on experience), • £1,500 annual learning and development stipend to focus on your interests in the field, • Pension contributions, • Free gym membership, • Quality equipment (Mac, etc.), • Various discounts and perks, • Equity participation discussed with exceptional candidates Interview Process • Application review. CV, LinkedIn, and application form (see below), • Initial chat. Get to know each other, discuss basic qualifications and mutual fit, • Project. Demonstrate your hands-on capability with generative AI, and your ability to explain something complex clearly, • Final conversation. Meet the founder, discuss the role in detail Our goal is to complete the process within two weeks of first contact. We believe recruitment should be a good experience regardless of outcome. Every candidate who completes an interview will receive specific feedback and a decision within 14 business days. To Apply Apply via LinkedIn AND complete the application form. Application form: We will only consider applications that include both. If you have only clicked "Easy Apply" without completing the form, your application will not be reviewed. This is not bureaucracy. It is how we identify candidates with genuine interest versus passive applicants. This is a rolling application. We will review applications on an ongoing basis until the role is filled.

Job Role: Lead Software Engineer, React Native Job Type: Full Time, Permanent Location: London, Hybrid (3 office days a week) Role purpose As a valued member of our engineering team, you will contribute to the development of our innovative application using React Native. Working with a modern JavaScript stack, your primary focus will be on coding, testing, and enhancing the functionality of Travelex's and partner mobile applications. In this role, you will collaborate closely with our Principal Engineer and the Mobile Apps team members. While this is primarily an engineering role, we are always looking for developers who have a keen eye for product and who can contribute to the development of features at a product level before they are implemented. If you are eager to be part of a dynamic team, contribute to Travelex's digital-first strategy, and be part of a company that values its employees while prioritizing work-life balance, we invite you to explore this exciting opportunity with us. Key accountabilities and decision ownership: Technical Leadership • Lead the design and implementation of key features and components of our React Native mobile application., • Make informed technical decisions that improve performance, reliability, and scalability., • Participate in architectural discussions and help shape the technical direction of mobile applications., • Provide support and unblock engineers during development, testing, and integration. Project Ownership & Delivery • Own the technical delivery of high-visibility features or workstreams., • Work with Product and Design to refine requirements, contribute to planning, and identify risks early., • Break down complex tasks into clear, manageable deliverables for the team., • Communicate progress and technical considerations clearly to stakeholders. Collaboration & Mentorship • Mentor and support engineers, helping them grow their technical skills and confidence., • Lead by example in code reviews, ensuring best practices and quality standards are upheld., • Help foster a healthy engineering culture based on learning, knowledge sharing, and accountability. Engineering Quality • Champion strong testing, code quality, and performance practices., • Knowledge of best practices in security, performance and accessibility, • Identify areas for improvement within the codebase and contribute to long-term maintenance plans. Skills, knowledge, and experience: Must have: • 8+ years of software development experience, • 5+ years of professional experience in React Native, • Strong proficiency with TypeScript, React Native (or Expo), and mobile development patterns., • Proven track record of shipping complex mobile applications to production, • Comfortable mentoring peers and supporting technical decision-making., • Solid understanding of API integration (GraphQL and/or REST)., • Strong communication skills — able to work effectively with engineers, product managers, and designers., • Experience with native modules and bridging in React Native, • Familiarity with state management libraries (Zustand, Redux, MobX etc.), • Experience with the testing pyramid and tools such as Vitest, Jest, React Native Testing Library, Maestro, Detox Nice to have: • Experience with iOS (Objective-C, Swift) or Android (Java, Kotlin) native development., • Experience with mobile release processes for the App Store and Play Store., • Experience with performance optimisation and profiling in React Native., • Familiarity with analytics and crash reporting tools., • Experience building internationalised mobile applications, • Experience developing white-label applications Why Travelex? To remain the world’s leading foreign exchange specialist, we are focused on making our customers’ lives simpler, more engaging and hassle free while they travel or move money abroad. We promise to give them the freedom and peace of mind to explore the world, their way – enabling them to travel confidently because they know they have us to lean on. Customer centricity and digital are at the heart of our business strategy. Our commitment to innovation has never been greater, with the development of a number of digital-first, greenfield products and services. And with the Travelex's resources, deep industry experience and leading brand we are inventing the future of FX, cross-border e-commerce and international payments. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

🔥 Who We Are At ___, we relentlessly drive innovation in AI, building the world's leading ___. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join ___ and help shape the future of ___. 🌎 Location and Legalities This full-time LLM Engineer position is based onsite in our brand-new ___ in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of ___ with our state-of-the-art ___ technologies. Key responsibilities include: • Developing and scaling robust LLM-powered applications using a variety of APIs, including ___, ___, and ___., • Implementing and managing multi-API workflows using tools like ___ to ensure flexibility and resilience., • Building sophisticated ___ systems, leveraging advanced techniques like embeddings with ___, rerankers, and query enrichment., • Designing and maintaining efficient data pipelines and vector storage solutions using ___ Atlas Vector Search., • Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related to our ___ and user support., • Collaborating with our ___ development team to explore and build innovative ___. 🛠️ Skills and Experience • 5+ years of experience in software engineering, with a strong focus on AI and ___., • Expert-level proficiency in ___ and deep learning frameworks, particularly ___., • Proven experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek., • Hands-on experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like ___., • Practical knowledge of ___, prompt engineering, and performance optimization., • Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions., • A strong interest in ___ and an understanding of object detection models like ___ is a significant plus., • Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our ___. Our ___ thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits • Competitive Salary: Highly competitive based on experience., • Startup Equity: Participate directly in our company's growth and success., • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote., • Generous Time Off: 24 days vacation, your birthday off, plus local holidays., • Flexible Hours: Tailor your working hours to suit your productivity., • Tech: Engage with cutting-edge ___ and contribute to leading ___ software., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate ___. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, ___ offers an exceptional career opportunity.

Do you want to work on some of the most advanced technology in the world? Our client operates one of the most powerful private HPC clusters globally, with 10s of thousands of GPUs (including 1000s of A100s), 100s of petabytes of storage, and almost 10 petabytes of RAM. This cutting-edge infrastructure supports state-of-the-art Deep Learning models that process trillions of data points, driving trading algorithms that handle $300 billion across 80+ exchanges daily. They are one of the youngest, yet most innovative and successful algo trading firms on the planet. All with under 200 people. Their mission? To harness this world-class technology and the expertise of exceptional people like you to make financial markets more efficient and fairer for everyone. Technology is their heartbeat, but they don’t rely on off-the-shelf solutions—they build their own to ensure unparalleled scale, reliability, and resilience. This is where you come in… They are looking for an exceptional C++ Engineer to join their most critical engineering group across the whole firm. This elite team of engineers is responsible for developing all of their on-exchange proprietary trading technology—the single biggest driver of the firm’s revenue. As part of this team, you’ll be among the highest-paid engineers in the company, working on super low-level, close-to-the-metal projects that turn cutting-edge research ideas into reality. What can they offer you? • Build the unimaginable: Explore and work on a wide scope of projects that push the boundaries of technology. From creating an exabyte-scale distributed filesystem to custom compilers for massively parallel computation, your work will be challenging and complex. At every turn, it will contribute to the core trading stack and have a direct impact on the success of the firm., • Work with the Best: Collaborate with some of the most talented engineers, researchers, and quants in the world. You’ll be surrounded by colleagues who are at the top of their fields, pushing the boundaries of technology and finance every day., • Innovation & Impact: Work in a modern, young codebase with minimal legacy code and technical debt. You’ll have the freedom to choose the best technology for the job, allowing you to innovate and deliver at an unmatched scale. They also have a pretty epic office, amazing perks, a great culture and pay very well! What are they looking for? You’re the kind of engineer who knows what’s going on under the hood and thrives on working at the lowest levels of software engineering—borderline hardware. Your expertise includes some blend of modern C/C++ with the following: • Operating systems (Linux Kernels), • CPU architecture, • GPU programming, • Assembly Language, • Hardware knowledge (ASICs/FPGAs) Hit apply or drop me a note to find out more 😊

Aries Global At Aries Global, we’re driven by a singular ambition - to build one of the world’s truly exceptional software groups. A high-performing culture where we’re able to deliver transformative value to our group, and a place where every team member can grow, thrive, and achieve their full potential. A company that operates with unmatched precision, creativity, and impact. That creates enduring value while upholding the highest standards of integrity and responsibility. Our mission is simple: we don’t just acquire companies - we build enduring, AI-native software platforms. We partner with founders who have built great products and help them unlock their next chapter through our AI-native operating system, centralised GTM engine, and world-class execution capabilities. We bring together exceptional operators, product builders, and leaders - people who insist on the highest standards and excel in a culture of fast pace, focused execution, and deep ownership. In return, you’ll experience extraordinary growth, meaningful impact from day one, and a career trajectory far steeper than you thought possible. Some Of Your Responsibilities • Build and ship real product features that meaningfully improve the user experience and drive business impact., • Collaborate with senior engineers, product managers, and designers to turn ideas into polished, scalable solutions., • Dive into modern technologies and development practices, learning rapidly while contributing to production-quality work., • Debug, test, and optimise systems to enhance performance, stability, and maintainability., • Participate in code reviews and team rituals to strengthen engineering excellence and learn best practices., • Explore new tools and frameworks to help the team innovate and improve developer productivity. What We’re Looking For • Analytical Foundations. A strong analytical foundation built through experience in start-ups, investment banking, PE/VC, strategy, or management consulting - environments that demand rigorous thinking, structured problem-solving, and rapid synthesis of information., • Action Bias. You thrive in ambiguity, form clear mental models quickly, take ownership instinctively, and enjoy diving deep into unfamiliar software categories. You operate with autonomy, intensity, and a strong internal drive., • Culture & Velocity Fit. You’re energized by environments defined by ambition, precision, and ownership and a high standard of integrity and responsibility., • Communication & Reasoning Clarity: You communicate in a structured, concise, and compelling way - verbally and in writing. You’re highly organized, detail-oriented, and able to manage multiple workstreams without sacrificing quality or momentum. Why Join Aries • Unmatched talent density - be amongst and learn from the brightest., • High-trust, high-autonomy environment with real ownership - exposure you won’t get anywhere else., • A company with global reach, meaningful work, and potential for long-term growth. Our Process Joining Aries Global means stepping into a culture that values excellence, curiosity, and potential above all else. Our selection process reflects that. If you excel at our initial screening, you move forward to interviews that dive deeper into your ambitions, mindset, and how you can shape growth with us. You’ll take on a few challenges designed to see how you think, learn, and adapt under pressure. They’re demanding by design - because the work we do is, too. We set the bar high and only make offers when we’re confident it’s an extraordinary fit - for both you and Aries Global. And if you’re hesitating because you don’t tick every box - don’t. Talent, drive, and the will to grow matter most here. If you’re inspired by our mission and believe you can make an impact, we want to meet you. Aries Global is proud to be an equal opportunity employer. We celebrate diversity, foster inclusion, and ensure every candidate has equitable access to succeed. If you need accommodations during the process, simply let us know, we’ll make it happen.

AI Engineer [Analyst/Associate] About the job As an AI engineer on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care about impact: people who want to see their models not just trained, but deployed, adopted, and driving measurable results. What You’ll Do • Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance., • Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value., • Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering, and rapid iteration are key to creating business value., • Leverage modern tools and methods: Use contemporary ML frameworks, cloud platforms, and MLOps best practices to build scalable, reusable solutions., • Communicate insights clearly: Distill complex technical findings into concise, actionable narratives for technical and business audiences alike., • Keep learning and pushing boundaries: Expand your engineering toolkit across the full ML development lifecycle—from prototyping to deployment—and explore new architectures, tools, and approaches to solving complex, real-world problems. Sample Projects You’ll Work On • Generative AI for due diligence: Lead the rollout of our in-house GenAI platform across investment desks to automate and accelerate due diligence. You’ll configure and extend the system for desk-specific processes, run proof-of-value pilots, measure business impact, and collaborate closely with users to drive adoption and effectiveness., • Automated Deal Sourcing Workflows: Prototype experimental systems to automate early-stage deal sourcing. You’ll build integrations to extract signals from public and proprietary data sources, integrate with third-party APIs to enrich lead information, and integrate with in-house GenAI platform to create a structured data asset. This includes designing modular components for adaptability across investment strategies, running pilot deployments, and collaborating with users to refine workflows and measure sourcing efficiency. Your Experience We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization., • Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains:, • Data science stack: NumPy, pandas / polars, scikit-learn, XGBoost, LightGBM, • Deep learning: PyTorch, JAX, • Statistical programming: NumPyro, PyMC, • Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modeling workflows., • ML Ops & deployment: Familiarity with deploying models into production using APIs or microservices, and applying ML Ops practices such as experiment tracking (e.g., MLflow, Weights & Biases), model versioning, and performance monitoring. Experience collaborating with engineering teams to ensure scalable and maintainable deployment., • Backend & service development: Experience building production-grade Python webservices (e.g., FastAPI, Flask), developing APIs, and integrating ML components into broader systems., • Software engineering practices: Comfortable with testing, code reviews, CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases., • Infrastructure & cloud: Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform., • Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus., • Collaboration and impact: Strong problem-solving ability, intellectual curiosity, and a pragmatic approach to delivering solutions that create measurable business value, while remaining statistically robust. About Us We are a new, but growing team of AI specialists - data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

The Next Step in Your Career Mondrian Alpha is offering an opportunity for Search Consultants/Recruiters to join one of the fastest-growing and highest performing executive search firms globally. About Us Mondrian Alpha is a leading alternatives advisory and search firm, partnering with the world’s most prestigious hedge funds, private markets firms and asset managers. Our firm has grown rapidly across London, New York, and Dubai, with each office expanding to meet client demand. What sets us apart is our research and market intelligence-led model, our track record of delivery, and a culture that blends high performance with collaboration. The Opportunity We’re looking for ambitious recruiters, you don't need direct experiene in the Hedge Fund and Alternatives market, who are excited by the chance to take their career to a top percentile search firm with global reach. We have opportunities to join us in London, New York and Dubai. As a Consultant, you will: • Leverage your experience as a high calibre recruiter/search consultant and learn and develop in the buy-side market., • Work alongside experienced consultants and revenue generators with $1m+ track records, • Benefit from live mandates and an established client base from day one, • Enjoy the autonomy and scope to originate and grow your own desk Who We’re Looking For • 1 - 5 years’ experience in recruitment/executive search, • Have a strong recruitment track record and be amongst the top performers in your current firm, • Strong academic background and communication skills, • Entrepreneurial mindset, keen to build and grow in a fast-developing market, • Willingness to embrace the opportunity and apply yourself to learning and development Why Mondrian Alpha & Why Dubai? • Market-leading commission thanks to our lean business model, • A vibrant, multi-cultural team within a collaborative and supportive environment, • Exposure to global mandates while being part of a fast-growing, high-calibre office, • Clear progression opportunities within a firm that invests in talent Let’s Talk If you’re ready to explore how you could transform your career and lifestyle, we’d love to have a confidential conversation. Apply via LinkedIn or contact me directly to learn more,

Role: Oracle Practice Engagement Director Location : UK, Europe Domain: Retail, CPG If your passion is to build solutions that really make a difference to enterprises, the community and your world, Infosys is the right place for you. If you are interested in being part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued, take a moment and explore the below job opportunity. As part of our Oracle Practice Sales team for the EMEA region, you will play a key role in building and cultivating relationships and opportunities within existing as well as prospective clients, selling Oracle ecosystem services and solutions. You will work as a trusted advisor and position Infosys as a partner of choice for Oracle related work. You will work with Infosys industry new logo sales / GTM as well as client partner teams to expand Oracle business across EMEA. You will have the opportunity to collaborate with some of the best talent in the industry to create innovative, high-quality solutions to meet our clients' business needs. As the Practice Engagement Director, you will be responsible for all client interfaces within group of accounts across the CPG, Retail and Logistics (CRL) industries in the EMEA region. You will work with the wider market facing and delivery team to build the portfolio and account plans and deliver business growth and client management for the Oracle ecosystem of services and solutions. Responsibilities: You will have the following key responsibilities within the assigned account portfolio: • Client Relationship Management: Manage relationships with operational personnel - those directly involved with the client's presence., • Business Development - Build a strong account portfolio for Oracle and drive revenues by being the owner of the entire Opportunity Management Cycle: Prospect-Evaluate-Propose-Close. This involves identifying business opportunities, selling concepts to the client where required and influencing the client to give additional business based on demonstrated solutions and capabilities., • Proposal Development: Conduct research and analysis, create proposals/pitches, validate estimates/effort, deliver client presentations and negotiate with clients., • Client Delivery Assurance - assure the client of Infosys commitment and collaborate with the Delivery Managers to address all people or infrastructure related issues that may be affecting the delivery of the project vis-à-vis the specific client., • Account Planning and Governance - responsible for client Management processes within the Oracle Portfolio - Plan-Sell-Deliver-Manage. Build account level plans - with details of the relationships required, the opportunities that have to be chased, and the revenue expected from such opportunities. Qualifications: • 15+ years' experience with strong sales/relationship management/account management experience., • Must have led client facing consulting or sales engagements in following industry verticals: Retail, CPG and Logistics., • Understanding of Oracle ecosystem of products such as ERP, HCM, CX, Supply Chain, Analytics, Cloud Infrastructure and platform services, • Strong Business Development and Client Management experience is required., • Track record of interacting and building relationship with CXO level client contacts., • Track record as Engagement/Relationship Manager growing and nurturing client relationships highly desirable., • Global Delivery Model experience desirable., • Wide variety of IT and business consulting engagement experience., • Strong leadership, interpersonal, communication and presentation skills., • Hands-on experience with proposal creation and leading proposal presentations., • The job entails travel. The job also entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. About Infosys: Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56+ countries to navigate their digital transformation. With nearly four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Our team of over 240,000 innovators, across the globe, is differentiated by the imagination, knowledge and experience, across industries and technologies, that we bring to every project we undertake. Visit to see how Infosys (NYSE: INFY) can help your enterprise navigate your next. Infosys is an equal opportunity employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender or other attribute covered by equal opportunity legislation. Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third party vendors. In the absence of a signed agreement any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department. All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.

About us: Omegro is a buy-and-grow acquirer of the world’s most impactful software companies. Our purpose is growth over the long term; in ourselves and our colleagues, in the businesses we acquire and operate, and in the stakeholder value we create. At Omegro we are all about finding the right people for the right role and allowing them the opportunity to directly contribute to the success of our organization. Our employees are experts in their field, passionate about what they do and always looking for new and better ways to solve our industry's problems. We offer competitive compensation and flexible working arrangements with the chance to learn from the best in the business as well as having the opportunity for professional development through learning programs and career advancement. Position overview: As part of the Corporate Development and M&A team, this critical function is responsible for high-quality B2B account and business development activities within technology-driven enterprise asset management (EAM) verticals. This include but is not limited to research, identification, screening, and assessment of M&A opportunities in assigned enterprise asset management software markets in Europe. Professional-level German proficiency is strongly preferred, given the responsibility for leading strategic discussions with C‑suite executives in German. Every member of our team is integral to our success, and as Corporate Development Associate, you will have the opportunity to make a significant impact on our growth and future success within the enterprise asset management software space. If you are passionate about M&A and are ready to contribute your skills and expertise to a dynamic, forward-thinking organization, we invite you to apply and join our team. This role can be a global role based on your background, but you are ideally based in Lyon, London or Germany and you will be reporting to the Corporate Development Manager. You’ll be part of a global team and collaborate closely with colleagues across Europe, Australia, and North America. What you will do: Drive pipeline growth and build strategic relationships across Europe • You’ll develop a strong pipeline of enterprise asset management software companies by identifying and originating midmarket businesses that fit our acquisition criteria. You’ll cultivate long-term, meaningful relationships with software founders and operators of all sizes, guiding them through the M&A journey and strengthening engagement at every stage. Play a key role in positioning Omegro as the acquirer of choice • In this role, you’ll creatively identify high potential vertical market software businesses that align with our strategic criteria, while confidently articulating Omegro’s unique value proposition—both verbally and in writing. You’ll help ensure Omegro remains top of mind when founders and operators consider going to market, strengthening our M&A credibility by approaching every interaction with a prospect centric, solutions driven mindset. To succeed in this role, you will thrive in the below key areas: • Generating new business opportunities at the highest level – identifying, connecting, and maintaining contact with businesses regularly and developing communication opportunities throughout the year., • Maintaining a consistency of high-volume calls and interactions including phone/virtual meetings, conferences / tradeshows and other in-person meetings through demonstrated creativity, persistence, and credibility when interacting with owners, and C-Suite., • Utilising a high analytical ability to research, qualify, screen and assess acquisition targets through meaningful conversations and qualify prospects in accordance with the company’s M&A criteria., • Demonstrating creativity, persistence, and credibility when interacting with owners, professional managers, corporate advisors and C-Suite resulting in lasting impressions with owners utilizing depth of business acumen to carry on engaging conversations over multiple years., • Creating and maintaining long lasting, trust based relationships and leading thoughtful discussions from qualification to data gathering, while consistently nurturing long-term leads through the pipeline., • Drive consistent pipeline growth by maximising LinkedIn and other social channels, paired with smart use of sales technologies, to actively generate and convert new leads., • Keeping precise CRM records and provide consistent KPI reporting across all calls, meetings, and transaction materials., • Working closely with the Manager of Corporate Development to identify high probability prospects looking to further explore the M&A process. What will our ideal candidate look like? • We work independently but win as a team and lose as a team. You will be energetic, collaborative, and driven to hit KPI monthly targets because of its impacts to overall team goals. You’ll work closely with the executive team to ensure the smooth transition to latter stages of the process and has a growth mindset., • An exceptional communicator who confidently engages senior stakeholders. You’ll be resilient, proactive, and professional—someone who represents the company with integrity., • Be driven to not only meet but exceed monthly KPIs, they thrive under pressure and consistently deliver against weekly and monthly deadlines., • Highly organised and detail focused, with strong project management, time management, strategic, and analytical skills. Adaptable and calm under shifting priorities and pressure., • Strong business and financial acumen, with a solid understanding of revenue models, pricing strategies, profitability, and enterprise valuation., • Experience in enterprise asset management (EAM) within a technology-driven environment, gained through sales, deal origination, or M&A, is preferred but not a requirement., • Fluency in English is required. German language skills are highly desirable and will be considered a significant advantage. These values are important to us: • Growth mindset: We listen, learn and seek to improve., • Bias for action: We execute quickly, experiment & and adapt. We do something rather than default to inaction., • Smart, Humble, and Hungry: We work without ego, share credit, and define success collectively. We are intrinsically motivated, diligent, and strongly desire to do more., • Tenacious and Resilient: We are comfortable with ambiguity, recover from setbacks, and learn our lessons. We value success over the long term., • Proud of our actions: We work hard, treat others well and continuously learn. We are an equal opportunity employer. We welcome applications from all qualified candidates and make employment decisions based on merit, qualifications, and business needs. If you require accommodation at any stage of the hiring process, please let us know.

Pop Mart Dual Store Manager - Harrods & Hamleys Stores Industry: Designer collectible pieces Location: Harrods, Knightsbridge + Hamleys, Regent Street Job type: Full time, permanent About POP MART POP MART (09992.HK) is a leading global company in the trend culture and entertainment industry. Centered around IP, POP MART has built a comprehensive platform for creative incubation and IP operation, empowering global creators while delivering exciting products, services and immersive entertainment experiences to consumers. POP MART identifies and nurtures emerging artists and designers worldwide, creating popular character IPs through a well-established development and operation system. Our portfolio includes iconic characters such as MOLLY, SKULLPANDA, DIMOO, THE MONSTERS and Hirono. POP MART operates over 500 physical stores and more than 2,300 Robo Shops across more than thirty countries and regions, and through multiple cross border e commerce platforms reaches audiences in over ninety countries and regions, bringing joy to young consumers around the world. POP MART has developed a comprehensive IP commercialisation ecosystem that spans multiple industries, deepening emotional bonds between fans and IPs while exploring broader opportunities for value creation. Our ventures include the world’s first immersive intellectual property themed park in the art toy industry, the expansion of its IPs into global markets through licensing and co-branding with leading global brands, and the curation of art toy expos and intellectual property themed exhibitions internationally. In Europe, POP MART has built a strong presence in key markets including the United Kingdom, France, Italy, Germany, the Netherlands and Spain, and is expanding into new high potential markets. Our expansion brings POP MART closer to European fans and offers new ways for them to connect with our IPs and stories. For more information, please visit and our LinkedIn Career page. What to Expect POP MART is a fast-paced company with a young and multicultural team where you can expect to: · Contribute to a fast-growing European business that combines retail, art, and creative storytelling · Work with passionate teams across different countries, all connected by a shared love for designer toys and unique customer experiences · Grow your skills through hands-on projects, collaborative learning, and opportunities to explore new ideas Benefits POP MART offers our employees: · Monthly appreciation gifts featuring our latest POP MART designs · A structured bonus scheme linked to company and individual performance · Access to a confidential Employee Assistance Programme (EAP) for counselling and wellbeing support · Training and development programmes that build both professional skills and creative thinking · Regular team events that bring our people together to share ideas and celebrate our work • Join Our Team – 40-Hour Workweek, 7-Hour Shifts +1h Paid Lunch The Role and Candidate We are searching for a Dual Retail Store Manager to lead and oversee operations at our London Harrods and Hamleys stores! This is a key leadership role responsible for managing all aspects of retail operations and ensuring the sales team provides exceptional customer service that meets POP MART's standards. This management position requires strong leadership skills, excellent communication abilities, and a passion for retail management. Your enthusiasm for designer toys will make you a competitive candidate. The position reports to and receives functional guidance from the Area Manager. Responsibilities • Oversee all aspects of store operations, including sales, customer service, inventory management, and staff supervision, • Develop and implement strategies to achieve sales targets and improve store performance, • Provide exceptional customer service and resolve any customer issues or complaints, • Train, mentor, and supervise the sales team, ensuring they adhere to company policies and procedures, • Closely monitor inventory levels and coordinate with the merchandising team and management for replenishment, • Control stock discrepancy by monitoring inventory levels and implementing loss prevention measures, • Manage visual merchandising, ensuring the store's tidiness and cleanliness are maintained at the highest level, • Oversee cashier point operations, including daily opening and closing procedures, • Conduct regular staff meetings to communicate goals, expectations, and updates, • Lead recruitment efforts, evaluate potential candidate's performance, and train new team members, • Perform administrative tasks such as rota scheduling, payroll management, and sales reporting, • Ensure compliance with all company policies, procedures, and relevant regulations, • Be available to work flexible hours. Required Qualifications • Proven experience (4+ years) in retail management, preferably in a similar industry, • Bachelor’s degree in business administration, Retail Management, or a related field (or equivalent work experience), • Fluent in professional English, with excellent verbal and written communication skills, • Strong leadership skills with the ability to motivate and develop a high-performing team, • Proven ability to develop and implement strategies to achieve sales targets and improve store performance, • Excellent organizational and problem-solving skills with a keen attention to detail, • Proficient in administrative tasks such as rota scheduling, payroll management, and reporting, • Team-oriented with the ability to foster a positive work environment, • Candidates with less experience can also apply for the Assistant Store Manager position Desirable but Not Essential • Multi-lingual language ability (Chinese Mandarin is an advantage but not essential), • Experience in the toy or collectibles industry, • Knowledge of visual merchandising techniques, • Familiarity with retail management software and point-of-sale systems If you are excited to be part of POP MART’s journey and believe you have the skills and passion to contribute, click Apply Now and send us your CV.

Do you want to work on some of the most advanced technology in the world? Our client operates one of the most powerful private HPC clusters globally, with 10s of thousands of GPUs (including 1000s of A100s), 100s of petabytes of storage, and almost 10 petabytes of RAM. This cutting-edge infrastructure supports state-of-the-art Deep Learning models that process trillions of data points, driving trading algorithms that handle $300 billion across 80+ exchanges daily. They are one of the youngest, yet most innovative and successful algo trading firms on the planet. All with under 200 people. Their mission? To harness this world-class technology and the expertise of exceptional people like you to make financial markets more efficient and fairer for everyone. Technology is their heartbeat, but they don’t rely on off-the-shelf solutions—they build their own to ensure unparalleled scale, reliability, and resilience. This is where you come in… They are looking for an exceptional C++ Engineer to join their most critical engineering group across the whole firm. This elite team of engineers is responsible for developing all of their on-exchange proprietary trading technology—the single biggest driver of the firm’s revenue. As part of this team, you’ll be among the highest-paid engineers in the company, working on super low-level, close-to-the-metal projects that turn cutting-edge research ideas into reality. What can they offer you? • Build the unimaginable: Explore and work on a wide scope of projects that push the boundaries of technology. From creating an exabyte-scale distributed filesystem to custom compilers for massively parallel computation, your work will be challenging and complex. At every turn, it will contribute to the core trading stack and have a direct impact on the success of the firm., • Work with the Best: Collaborate with some of the most talented engineers, researchers, and quants in the world. You’ll be surrounded by colleagues who are at the top of their fields, pushing the boundaries of technology and finance every day., • Innovation & Impact: Work in a modern, young codebase with minimal legacy code and technical debt. You’ll have the freedom to choose the best technology for the job, allowing you to innovate and deliver at an unmatched scale. They also have a pretty epic office, amazing perks, a great culture and pay very well! What are they looking for? You’re the kind of engineer who knows what’s going on under the hood and thrives on working at the lowest levels of software engineering—borderline hardware. Your expertise includes some blend of modern C/C++ with the following: • Operating systems (Linux Kernels), • CPU architecture, • GPU programming, • Assembly Language, • Hardware knowledge (ASICs/FPGAs) Hit apply or drop me a note to find out more 😊

Company Overview Join Corinthian Sports, where luxury meets sport. Step into the world of elite hospitality with the UK’s leading provider of premium experiences at events like Formula 1, Royal Ascot, Wimbledon, Six Nations, and Premier League football. From bespoke packages to our exclusive Pegasus Lounge, we create unforgettable moments across the UK and beyond. With offices in London, Glasgow, and Manchester, your base will be in London. The Role As a Business Data Analyst, you’ll dive into the heart of guest data, event metrics, and AI-driven personalisation. You’ll help bring our data to life by supporting real-time decision-making, creating intelligent dashboards, and contributing to AI models that improve guest experiences and operational efficiency. Ideal for someone early in their data career (1–2 years of experience), this role offers hands-on involvement across analytics, infrastructure, and innovation. What You’ll Do Event & Guest Data Analysis • Analyse guest behaviour, ticketing trends, and feedback to uncover insights., • Support marketing and sales with performance metrics., • Build dashboards to track key KPIs like ticket sales and client retention. AI & Personalisation • Help develop and refine machine learning models for guest targeting and recommendations., • Validate AI outputs and enhance accuracy with real-world data., • Explore and test new hospitality AI trends like dynamic pricing and sentiment analysis., • Data Infrastructure & Governance, • Maintain data accuracy across CRM, ticketing, and event platforms., • Assist in standardising and cleaning event data., • Work with tech teams to improve guest data collection points., • Collaboration & Reporting, • Translate business needs into data-driven solutions., • Communicate insights through visual reports and data storytelling., • Train teams on dashboards and data tools. What You’ll Bring • 1–2 years in a data analyst or business intelligence role, ideally within events, hospitality, or other customer-facing industries., • Strong analytical mindset and the ability to tell compelling stories through data., • Proficiency in Python, SQL, and NoSQL databases (e.g., PostgreSQL, MongoDB)., • Experience with data visualisation tools such as Tableau, Power BI, or Python libraries (e.g., Seaborn, Plotly)., • Familiarity with FastAPI for automation and system integration., • Hands-on experience with API integrations:, • – CRM APIs (e.g., Salesforce or MuleSoft), • – Email APIs (e.g., Microsoft Graph), • – LLM and VoIP APIs (e.g., ChatGPT, Claude, Gemini) for analysing call transcripts and messages., • Working knowledge of cloud platforms such as AWS, Google Cloud, or Azure., • Excellent communication and collaboration skills for working with non-technical stakeholders., • Strong understanding of GDPR, CCPA, and data privacy best practices. What Success Looks Like With your help, we’ll answer critical questions like: • Who are our most valuable guests, and how can we better serve them?, • What drives attendance and repeat bookings?, • Where can automation and prediction improve the guest journey?, • Your success will be measured by:, • Increased event attendance and guest engagement, • Smarter audience targeting and upsell conversions, • Improved reporting accuracy and operational efficiency Perks & Benefits • 23 days holiday (plus bank holidays), rising to 26, • Clear career progression, • Perkbox membership (post-probation), • Eye test & VDU glasses support, • Pension & Life Assurance, • Refer-a-friend bonus (up to £500), • £50 per head monthly team socials, • Private health & dental insurance (BUPA), • Travelcard loan & Cycle to Work Scheme, • Long service vouchers (£250 at 3 years, £500 at 5 years), • One-month paid sabbatical after 10 years, • Christmas office closure At Corinthian Sports, we are committed to building an inclusive, diverse workplace where everyone feels valued. We encourage applications from all backgrounds and are happy to make adjustments to ensure an accessible hiring process.

Who we are: Welcome to This is Beyond, a dynamic and forward-thinking B2B events company based in the heart of West London. From our humble beginnings as an ambitious startup, we've swiftly risen to become a global leader in pioneering B2B events that redefine industry standards. Renowned as thought leaders in the luxury travel sector, we've left an indelible mark by spearheading innovative approaches and cultivating fervent communities around distinct travel niches. Our diverse portfolio boasts a mix of groundbreaking global travel trade shows tailored for elite influencers and trendsetters. At This is Beyond, we're relentless in our pursuit of crafting unparalleled experiences. We meticulously curate our guest list, recognising that chemistry is paramount, and we vehemently reject mundane formats. Prepare to be immersed in exclusive, inspiring environments that blur the lines between work and leisure - because that's where true business brilliance thrives. Join us on our journey, where innovation knows no bounds and excellence is the standard. The role: As an Event Leader, you will be responsible for the overall strategic direction, commercial success and flawless delivery of one of This is Beyond’s major events. You will lead a multidisciplinary team across sales, marketing, content and operations, ensuring every element of the event aligns with our values, brand standards and business objectives. This role requires equal parts strategic thinking and hands-on leadership. You will shape the event’s long-term vision, develop and deliver its commercial strategy, and ensure it continues to evolve as a world-class platform that connects and inspires the most influential players in luxury travel. You will not simply deliver an event; you will nurture a living community of people and ideas. You will build something that grows year after year, creating experiences that inspire leaders, shift perspectives and spark lasting change. What you will do: Strategic Leadership and Direction • Set and deliver the event’s strategic roadmap, ensuring it drives growth, impact and industry leadership., • Own the event’s P&L, overseeing budgeting, forecasting and financial performance to meet ambitious revenue and profitability targets., • Monitor market trends, customer insights and competitor activity to inform innovation and maintain a competitive edge., • Contribute to company-wide strategic discussions, helping to shape the future direction of This is Beyond’s portfolio. Team Leadership and Development • Lead and inspire a team of senior managers and heads of department across sales, marketing and operations., • Foster a culture of clarity, accountability and collaboration, ensuring everyone is aligned to shared goals., • Coach, mentor and support your team to achieve their potential, encouraging ownership, innovation and continuous improvement., • Model leadership behaviours that reflect This is Beyond’s values: trust, curiosity, integrity, excellence and generosity. Commercial and Analytical Focus • Drive revenue and audience growth through effective commercial strategies and data-led decision making., • Oversee exhibitor and buyer acquisition, retention and satisfaction, ensuring a consistently high calibre of participants., • Evaluate event performance using clear metrics, drawing insights to refine strategy and enhance results., • Balance creativity and commerciality, ensuring that every innovation adds measurable value. Customer and Stakeholder Engagement • Act as the senior ambassador for your event, engaging and networking directly with industry leaders, partners and stakeholders., • Build and nurture strong, long-term relationships with exhibitors, buyers and sponsors., • Represent This is Beyond with confidence, energy and authenticity in meetings, presentations and international forums., • Ensure every customer touchpoint reflects the exceptional service, quality and attention to detail for which our brand is known. Innovation and Experience Design • Lead the continuous evolution of your event’s format, content and experience., • Collaborate with creative and production teams to ensure the event feels alive, relevant and ahead of its time., • Champion innovation, exploring new formats, technologies and approaches that deepen engagement and community value., • Ensure the overall experience consistently delivers on our promise: to create meaningful connections that drive personal and professional transformation. What you will need: • A strong commercial mindset grounded in real-world experience. You will likely come from a background in luxury hospitality, sales and marketing, or business development, ideally within luxury hotels, luxury events or travel brands, • Experience in budget management, P&L ownership, and commercial strategy development. A strong understanding of the dynamics of premium client relationships, the power of storytelling in driving sales, and the discipline of delivering commercial results., • Strong strategic and analytical skills, with a track record of making data-driven decisions., • You will be confident leading complex P&Ls, developing growth strategies and motivating teams to exceed ambitious targets. You will be a proven excellent negotiator, stakeholder manager, team manager and relationship-builder., • An operational mindset with hands-on event management experience. You will understand the intricacies of event delivery, logistics and on-site execution, and can translate strategy into flawless real-world experiences., • Ability to manage multiple priorities in a fast-paced, global environment., • Willingness to travel internationally to oversee event execution and engage with key stakeholders., • Most importantly, you will have the energy and hunger to build on success; to take something extraordinary and make it even better. Our Values • Curiosity - Always ask why. Open your mind to new perspectives and possibilities, and never settle., • Integrity - Be driven by good, not greed. You control your decisions, so make your actions count., • Teamwork - Empower others and leave your ego at the door. Good relationships are a competition of generosity. Benefits: Enjoy a range of benefits, including: Pension Scheme, Hybrid working arrangement, Health Cash Plan/BUPA coverage, Ongoing Learning & Development opportunities, Bonus Earning Potential, Social Events & Travel Opportunities Position Type: Permanent, with a 4-day working week. Our hybrid model includes 3 days in the office (located in Shepherd's Bush), 1 day working from home, and every Friday as a non-working day as standard. Diversity & Inclusion: At This is Beyond, we're dedicated to fostering an inclusive workplace where diversity is celebrated. We prohibit discrimination and harassment based on factors such as race, colour, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic. How to Apply: Ready to join our team? Explore all our available career opportunities and apply by visiting our careers site at careers.thisisbeyond.com. Connect with our network and discover how you can contribute to our exciting journey!

Full Time Retail Assistant - Brick Lane Pop Up Industry: Designer collectible pieces Location: Brick Lane, London (New Store Opening) Job type: Full Time (FTC, 1-year) About POP MART POP MART (09992.HK) is a leading global company in the trend culture and entertainment industry. Centered around IP, POP MART has built a comprehensive platform for creative incubation and IP operation, empowering global creators while delivering exciting products, services and immersive entertainment experiences to consumers. POP MART identifies and nurtures emerging artists and designers worldwide, creating popular character IPs through a well-established development and operation system. Our portfolio includes iconic characters such as MOLLY, SKULLPANDA, DIMOO, THE MONSTERS and Hirono. POP MART operates over 500 physical stores and more than 2,300 Robo Shops across more than thirty countries and regions, and through multiple cross border e commerce platforms reaches audiences in over ninety countries and regions, bringing joy to young consumers around the world. POP MART has developed a comprehensive IP commercialisation ecosystem that spans multiple industries, deepening emotional bonds between fans and IPs while exploring broader opportunities for value creation. Our ventures include the world’s first immersive intellectual property themed park in the art and designer collectible pieces industry, the expansion of its IPs into global markets through licensing and co-branding with leading global brands, and the curation of art and designer collectible pieces expos and intellectual property themed exhibitions internationally. In Europe, POP MART has built a strong presence in key markets including the United Kingdom, France, Italy, Germany, the Netherlands and Spain, and is expanding into new high potential markets. Our expansion brings POP MART closer to European fans and offers new ways for them to connect with our IPs and stories. For more information, please visit and our LinkedIn Career page. What to Expect POP MART is a fast-paced company with a young and multicultural team where you can expect to: • Contribute to a fast-growing European business that combines retail, art, and creative storytelling, • Work with passionate teams across different countries, all connected by a shared love for designer collectible pieces and unique customer experiences, • Grow your skills through hands-on projects, collaborative learning, and opportunities to explore new ideas Benefits POP MART offers our employees: • Monthly appreciation gifts featuring our latest POP MART designs, • A structured bonus scheme linked to company and individual performance, • Access to a confidential Employee Assistance Programme (EAP) for counselling and wellbeing support, • Training and development programmes that build both professional skills and creative thinking, • Regular team events that bring our people together to share ideas and celebrate our work, • Join Our Team – 40-Hour Workweek, 7-Hour Shifts +1h Paid Lunch Responsibilities • Provide exceptional customer service and resolve any customer issues or complaints, • Manage the cashier point’s daily opening and closing procedures, • Be available to work flexible hours, including nights, weekends, and holidays Required Qualifications • Fluent in professional English, with excellent verbal and written communication skills, • Proactive with strong customer service skills to provide a memorable shopping experience, • Team-oriented with the ability to work well in a team If you are excited to be part of POP MART’s journey and believe you have the skills and passion to contribute, click Apply Now and send us your CV.

Store Supervisor - Charing Cross Industry: Designer collectible pieces Location: Charing Cross, WC2H 0NE Job type: Full time, Permanent About POP MART POP MART (09992.HK) is a leading global company in the trend culture and entertainment industry. Centered around IP, POP MART has built a comprehensive platform for creative incubation and IP operation, empowering global creators while delivering exciting products, services and immersive entertainment experiences to consumers. POP MART identifies and nurtures emerging artists and designers worldwide, creating popular character IPs through a well-established development and operation system. Our portfolio includes iconic characters such as MOLLY, SKULLPANDA, DIMOO, THE MONSTERS and Hirono. POP MART operates over 500 physical stores and more than 2,300 Robo Shops across more than thirty countries and regions, and through multiple cross border e commerce platforms reaches audiences in over ninety countries and regions, bringing joy to young consumers around the world. POP MART has developed a comprehensive IP commercialisation ecosystem that spans multiple industries, deepening emotional bonds between fans and IPs while exploring broader opportunities for value creation. Our ventures include the world’s first immersive intellectual property themed park in the designer collectible pieces industry, the expansion of its IPs into global markets through licensing and co-branding with leading global brands, and the curation of designer collectible pieces expos and intellectual property themed exhibitions internationally. In Europe, POP MART has built a strong presence in key markets including the United Kingdom, France, Italy, Germany, the Netherlands and Spain, and is expanding into new high potential markets. Our expansion brings POP MART closer to European fans and offers new ways for them to connect with our IPs and stories. For more information, please visit and our LinkedIn Career page. What to Expect POP MART is a fast-paced company with a young and multicultural team where you can expect to: • Contribute to a fast-growing European business that combines retail, art, and creative storytelling, • Work with passionate teams across different countries, all connected by a shared love for designer collectible pieces and unique customer experiences, • Grow your skills through hands-on projects, collaborative learning, and opportunities to explore new ideas Benefits POP MART offers our employees: • Monthly appreciation gifts featuring our latest POP MART designs, • A structured bonus scheme linked to company and individual performance, • Access to a confidential Employee Assistance Programme (EAP) for counselling and wellbeing support, • Training and development programmes that build both professional skills and creative thinking, • Regular team events that bring our people together to share ideas and celebrate our work, • Join Our Team – 40-Hour Workweek, 7-Hour Shifts +1h Paid Lunch The Role and Candidate We are searching for a Supervisor to work alongside our Assistant Store Manager in our new and upcoming flagship store in Charing Cross! This is a key role in managing the store in all aspects of retail operations and ensuring the sales team provides exceptional customer service that meets POP MART’s standards. This leadership position requires strong organisational skills, excellent communication abilities, and a passion for retail management. Your enthusiasm for designer collectible pieces will make you a competitive candidate. The position reports to and receives functional guidance from the Assistant Store Manager. Responsibilities • Assist the Store Manager overseeing all aspects of store operations, • Provide exceptional customer service and resolve any customer issues or complaints, • Train and supervise the sales team, ensuring they adhere to company policies and procedures, • Collaborate with the Store Manager to develop strategies for achieving sales targets, • Closely monitor inventory levels and coordinate with the merchandising team and management for replenishment, • Control stock discrepancy by monitoring inventory levels and preventing shoplifting, • Own visual merchandising. Ensure the store tidiness and cleanliness are maintained at the highest level, • Manage the cashier point’s daily opening and closing procedures, • Conduct regular staff meetings to communicate goals, expectations, and updates, • Assist in recruitment, evaluation of potential candidates’ performance, and training new team members, • Perform administrative tasks such as rota scheduling and sales reporting, • Be available to work flexible hours, including nights, weekends, and holidays Required Qualifications • 2+ years fulltime experience in store management level, • Fluent in professional English, with excellent verbal and written communication skills, • Proactive with strong customer service skills to provide a memorable shopping experience, • Proven ability to develop and implement strategies to achieve sales targets, • Demonstrated leadership skills with experience supervising a team, • Strong organizational skills with a keen attention to detail, • Proficient in administrative tasks such as rota scheduling and reporting, • Effective time management and task prioritization abilities, • Team-oriented with the ability to motivate and inspire others Desirable but Not Essential • Experience in the designer collectible pieces industry, • Knowledge of visual merchandising techniques, • Familiarity with retail management software and point-of-sale systems If you are excited to be part of POP MART’s journey and believe you have the skills and passion to contribute, click Apply Now and send us your CV.