Design research jobs in United Kingdom

Department: Academic/Bath Spa University partnership (BSU) Location: West London (On-Site) Salary: £55,000 Type of Contract: Full-Time, Permanent (40 hours per week) Our Vision: Changing lives through education. If you would like to be part of this vision and journey, please apply by submitting your CV and a cover letter expressing your interest and outlining your expertise. The role: We are currently seeking Lecturers to teach across a range of undergraduate levels as part of our BSc (Hons) Lecturer in Psychology programme. Due to our delivery model, we require flexibility to teach during weekdays, evenings and at weekends. ROLE and RESPONSIBILITIES: • Design, plan and deliver teaching sessions as required by the Faculty., • Design assessments and assess student work, ensuring that all learning outcomes are met., • Provide timely and constructive feedback to students., • Provide academic support and guidance to students., • Develop, update, and continuously improve course materials., • Keep up to date with best practice in learning and teaching and ensure that your teaching reflects best practice and embeds technologies that enhance the learning experience., • Contribute to the design, development, delivery, review and enhancement of programmes of study within the Faculty and across GBS., • Attend meetings as required by the role, • Develop productive working relationships with colleagues within and external to GBS., • Participate in internal and external events, such as programme reviews, open days, outreach activities, and partner visits., • Undertake a reflective programme of staff development which includes teaching observations, directed study, workshop participation and experiential learning., • Support and engage in the creation, application and/or dissemination of new knowledge in your field of study and/or in higher education practice., • Engage with the GBS performance management programme, meeting a range of clearly defined objectives for student attendance, continuation, completion, progression and satisfaction., • Act as a Module Leader or undertake other administrative/management duties, commensurate with the level of the appointment, and as determined by the Dean or Deputy Dean., • An appropriate postgraduate qualification in Psychology and/ or a demonstrable track record in research or other scholarly activity of relevance to Psychology, • Excellent communication skills., • Experience of supporting learners both face-to-face and remotely., • Demonstrable professional conduct in all interactions with staff and students., • Experience of teaching in UK higher education., • A passion for education as a transformative activity., • Experience of, and a passion for, working in widening access environments., • Excellent IT skills and competence with the Microsoft Office suite, including PowerPoint and Excel, • Ability to maintain thorough and organised student records., • Ability to work under pressure, plan and prioritise own workload to meet tight deadlines., • Ability to work with minimum supervision., • A Doctoral level qualification in Psychology and/ or a demonstrable track record in research or other scholarly activity of relevance to Psychology and/or demonstrable success at an equivalent level professionally., • Industry experience in the field of Psychology., • BPS membership or equivalent, • Student attendance, • Student submission rates, • Student pass rates The Lecturer will also be expected to demonstrate their commitment to: • GBS’s values. policies and regulations, including the equal opportunities policy., • GBS’s Social, Economic and Environmental responsibilities and minimise environmental impact in the performance of the role and actively contribute to the delivery of GBS’s Environmental Policy. What we offer: • 25 days annual leave, plus 8 public holiday, • 1-day extra leave per year of service, up to a maximum of 5 days, • Workplace pension scheme, • Tuition reimbursement for career development courses, • Flexible Benefits: Cycle to Work, Workplace Nursery, Tech scheme and much more, • Perks@Work discounts platform, wellbeing centre and much more, • Reward and recognition programme, • £500 award employee referral scheme This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned.

Department: Academic - University of Suffolk (UoS) Location: London - Greenford and/or Stratford (On-Site) Salary: £55,000 Type of Contract: Full-Time, Permanent (40 hours per week) Our Vision: Changing lives through education The role: We are seeking full-time Lecturers to join our growing team and create a positive impact on the lives of our students by guiding them through the skills that shape their academic success. You will be teaching a combination of Study Skills modules (at Level 3) and/or Business modules (at Level 4), as part of our partnership with University of Suffolk (UoS), helping adult learners from diverse backgrounds achieve long-term success. Due to our delivery model, we require flexibility to teach during weekdays, evenings and at weekends. Please note this role is not eligible for visa sponsorship. What you'll be doing: • Bring study skills to life - Deliver tailored courses, digital resources, workshops and individual tutorial sessions to help students develop and sharpen their English language and numeracy, organisational and digital skills, research, presentation and critical/analytical thinking skills, all in the context of Global Business (Business Management)., • Craft and shape learning - Use engaging methods to teach a range of core global business and management topics, helping prepare students for today’s dynamic and interconnected global business environment., • Track progress with purpose - Provide meaningful feedback on individual and class progress, considering each student's needs, explaining where work fails to meet assessment criteria, suggesting ways to improve and facilitate students’ learning by means of engagement with online resources, research and activities. You’re someone who believes deeply in education’s power to transform and are looking to inspire and guide students to success, while taking your own experience to the next level in a rapidly evolving environment. You will bring: • A Master's degree in relevant subject area (PhD desirable), • Previous UK HE lecturing experience in the wider subject area and experience of providing individual and group support in response to identified learning needs, • A successful track record of teaching adult learners from diverse backgrounds on HE programmes, • Willingness to lead a specific area of literacy development, such as reading, writing, critical thinking, numeracy, digital skills, research skills (quantitative or qualitative), project and dissertation support or peer-assisted learning, • Expertise in digital educational resources development, course design and curriculum development, • DELTA qualification, • 25 days annual leave, plus 8 public holiday, • 1-day extra leave per year of service, up to a maximum of 5 days, • Workplace pension scheme, • Tuition reimbursement for career development courses, • Flexible Benefits: Cycle to Work, Workplace Nursery, Tech scheme and much more, • Perks@Work discounts platform, wellbeing centre and much more, • Reward and recognition programme, • £500 award employee referral scheme — John Traichaisit, Consultant Lecturer GBS is committed to equality, diversity and inclusion and providing a workplace free from discrimination or harassment. We welcome applications from all backgrounds and communities. We take our core values seriously and work hard to create an environment where everyone feels welcomed.

Department: Academic/Bath Spa University partnership (BSU) Location: East London (On-Site) Salary: £55,000 Type of Contract: Full-Time, Permanent (40 hours per week) Our Vision: Changing lives through education. If you would like to be part of this vision and journey, please apply by submitting your CV and a cover letter expressing your interest and outlining your expertise. The role: We are currently seeking Lecturers to teach across a range of undergraduate levels as part of our BSc (Hons) Lecturer in Psychology programme. Due to our delivery model, we require flexibility to teach during weekdays, evenings and at weekends. ROLE and RESPONSIBILITIES: • Design, plan and deliver teaching sessions as required by the Faculty., • Design assessments and assess student work, ensuring that all learning outcomes are met., • Provide timely and constructive feedback to students., • Provide academic support and guidance to students., • Develop, update, and continuously improve course materials., • Keep up to date with best practice in learning and teaching and ensure that your teaching reflects best practice and embeds technologies that enhance the learning experience., • Contribute to the design, development, delivery, review and enhancement of programmes of study within the Faculty and across GBS., • Attend meetings as required by the role, • Develop productive working relationships with colleagues within and external to GBS., • Participate in internal and external events, such as programme reviews, open days, outreach activities, and partner visits., • Undertake a reflective programme of staff development which includes teaching observations, directed study, workshop participation and experiential learning., • Support and engage in the creation, application and/or dissemination of new knowledge in your field of study and/or in higher education practice., • Engage with the GBS performance management programme, meeting a range of clearly defined objectives for student attendance, continuation, completion, progression and satisfaction., • Act as a Module Leader or undertake other administrative/management duties, commensurate with the level of the appointment, and as determined by the Dean or Deputy Dean., • An appropriate postgraduate qualification in Psychology and/ or a demonstrable track record in research or other scholarly activity of relevance to Psychology, • Excellent communication skills., • Experience of supporting learners both face-to-face and remotely., • Demonstrable professional conduct in all interactions with staff and students., • Experience of teaching in UK higher education., • A passion for education as a transformative activity., • Experience of, and a passion for, working in widening access environments., • Excellent IT skills and competence with the Microsoft Office suite, including PowerPoint and Excel, • Ability to maintain thorough and organised student records., • Ability to work under pressure, plan and prioritise own workload to meet tight deadlines., • Ability to work with minimum supervision., • A Doctoral level qualification in Psychology and/ or a demonstrable track record in research or other scholarly activity of relevance to Psychology and/or demonstrable success at an equivalent level professionally., • Industry experience in the field of Psychology., • BPS membership or equivalent, • Student attendance, • Student submission rates, • Student pass rates The Lecturer will also be expected to demonstrate their commitment to: • GBS’s values. policies and regulations, including the equal opportunities policy., • GBS’s Social, Economic and Environmental responsibilities and minimise environmental impact in the performance of the role and actively contribute to the delivery of GBS’s Environmental Policy. What we offer: • 25 days annual leave, plus 8 public holiday, • 1-day extra leave per year of service, up to a maximum of 5 days, • Workplace pension scheme, • Tuition reimbursement for career development courses, • Flexible Benefits: Cycle to Work, Workplace Nursery, Tech scheme and much more, • Perks@Work discounts platform, wellbeing centre and much more, • Reward and recognition programme, • £500 award employee referral scheme, • Discretionary annual performance bonus This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned.

Department: Academic/Bath Spa University partnership (BSU) Location: Greenford, West London On-Site) Salary: £55,000 Type of Contract: Full-Time, Permanent (40 hours per week) Our Vision: Changing lives through education. The role: We are currently seeking Lecturers to teach across a range of undergraduate levels as part of our BSc (Hons) Lecturer in Counselling programme. Due to our delivery model, we require flexibility to teach during weekdays, evenings and at weekends. ROLE and RESPONSIBILITIES: • Design, plan and deliver teaching sessions as required by the faculty., • Design assessments and assess student work, ensuring that all learning outcomes are met., • Provide timely and constructive feedback to students., • Provide academic support and guidance to students., • Develop, update, and continuously improve course materials., • Keep up to date with best practice in learning and teaching and ensure that your teaching reflects best practice and embeds technologies that enhance the learning experience., • Contribute to the design, development, delivery, review and enhancement of programmes of study within the faculty and across GBS., • Attend meetings as required by the role, • Develop productive working relationships with colleagues within and external to GBS., • Participate in internal and external events, such as programme reviews, open days, outreach activities, and partner visits., • Undertake a reflective programme of staff development which includes teaching observations, directed study, workshop participation and experiential learning., • Support and engage in the creation, application and/or dissemination of new knowledge in your field of study and/or in higher education practice., • Engage with the GBS performance management programme, meeting a range of clearly defined objectives for student attendance, continuation, completion, progression and satisfaction., • Act as a Module Leader or undertake other administrative/management duties, commensurate with the level of the appointment, and as determined by the Dean or Deputy Dean., • A Doctoral level qualification in counselling and/ or a demonstrable track record in research or other scholarly activity of relevance to counselling and/or demonstrable success at an equivalent level professionally., • Membership of an appropriate professional body with a complaints procedure to which you are subject., • Familiarity with, and agreement to work within, the current BACP Ethical Framework for the Counselling Professions., • Experience of teaching in UK higher education., • A passion for education as a transformative activity., • Experience of, and a passion for, working in widening access environments., • Excellent IT skills and competence with the Microsoft Office suite, including PowerPoint and Excel, • Excellent communication skills., • Experience of supervising student work and providing support and feedback., • Experience of supporting learners both face-to-face and remotely., • Demonstrable professional conduct in all interactions with staff and students., • Attention to detail and accurate reporting., • Ability to maintain thorough and organised student records., • Ability to work under pressure, plan and prioritise own workload to meet tight deadlines., • Ability to work with minimum supervision., • Current BACP counsellor/psychotherapist accreditation or be registered with an appropriate professional body to an equivalent level, • In current, supervised practice as a counsellor, • Student attendance, • Student submission rates, • Student pass rates The Lecturer will also be expected to demonstrate their commitment to: • GBS’s values. policies and regulations, including the equal opportunities policy., • 25 days annual leave, plus 8 public holiday, • 1-day extra leave per year of service, up to a maximum of 5 days, • Workplace pension scheme, • Tuition reimbursement for career development courses, • Flexible Benefits: Cycle to Work, Workplace Nursery, Tech scheme and much more, • Perks@Work discounts platform, wellbeing centre and much more, • Reward and recognition programme, • £500 award employee referral scheme — John Traichaisit, Consultant Lecturer GBS is committed to equality, diversity and inclusion and providing a workplace free from discrimination or harassment. We welcome applications from all backgrounds and communities. We take our core values seriously and work hard to create an environment where everyone feels welcomed. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned.

Department: Academic/Bath Spa University (BSU), University of Suffolk (UoS), Canterbury Christ Church University (CCCU), Oxford Brooks University (OBU) and/or Pearson partnerships Location: London (Greenford or East London, On-Site) Salary: £55,000 Type of Contract: Full-Time, Permanent (40 hours per week) Our Vision: Changing lives through education. The role: We are currently seeking full-time Study Skills Lecturers who will work in close collaboration with subject lecturers to develop and teach study skills within the curriculum across a range of HE programmes from Foundation to Masters’ Level as part of our BSU, UoS and OBU partnerships. This includes for example, improving English language and numeracy, organisational and presentation skills, digital literacy and basic IT skills, reading, writing and higher order research skills. Due to our delivery model, we require flexibility to teach during weekdays, evenings and at weekends. Please note this role is not eligible for visa sponsorship. What you'll be doing: • Designing/documenting bespoke courses, digital resources, workshop plans and individual schemes of work as required to develop study skills in the curricula, • Delivering/evaluating teaching and identifying areas for potential improvement to enhance the quality of teaching, learning and overall student experience in accordance with the GBS’s Learning and Teaching strategy, • Providing feedback on individual and class progress in their understanding of academic writing and other relevant study skills, • Providing tutorial consultations with students, constructive comments individual to each student's need, explaining where work fails to meet assessment criteria and suggesting ways to improve their work / working practices, • Recording details from these appointments for statistical, evaluation and quality purposes, and to refer students to other services as appropriate, • Effectively engaging with VLE and research resources and facilitate students’ learning by means of engagement with online resources and activities., • You will hold a Master's degree in relevant subject area (PhD desirable), • You will have previous UK HE lecturing experience in the wider subject area, • You will have successful track record of teaching adult learners from diverse backgrounds on HE programmes, • You will have proven experience of providing individual and group study skills support in response to identified learning needs, • You will be willing to lead a specific area of literacy development, such as reading, writing, critical thinking, numeracy, digital skills, research skills (quantitative or qualitative), project and dissertation support, peer-assisted learning;, • Expertise in digital educational resources development, course design and curriculum development, • DELTA qualification, • 25 days annual leave, plus 8 public holiday, • 1-day extra leave per year of service, up to a maximum of 5 days, • Workplace pension scheme, • Tuition reimbursement for career development courses, • Flexible Benefits: Cycle to Work, Workplace Nursery, Tech scheme and much more, • Perks@Work discounts platform, wellbeing centre and much more, • Reward and recognition programme, • £500 award employee referral scheme — John Traichaisit, Consultant Lecturer GBS is committed to equality, diversity and inclusion and providing a workplace free from discrimination or harassment. We welcome applications from all backgrounds and communities. We take our core values seriously and work hard to create an environment where everyone feels welcomed.

Department: Academic/Bath Spa University partnership (BSU) Location: East London (On-Site) Salary: £55,000 Type of Contract: Full-Time, Permanent (40 hours per week) Our Vision: Changing lives through education. The role: We are currently seeking Lecturers to teach across a range of undergraduate levels as part of our BSc (Hons) Lecturer in Counselling programme. Due to our delivery model, we require flexibility to teach during weekdays, evenings and at weekends. ROLE and RESPONSIBILITIES: • Design, plan and deliver teaching sessions as required by the faculty., • Design assessments and assess student work, ensuring that all learning outcomes are met., • Provide timely and constructive feedback to students., • Provide academic support and guidance to students., • Develop, update, and continuously improve course materials., • Keep up to date with best practice in learning and teaching and ensure that your teaching reflects best practice and embeds technologies that enhance the learning experience., • Contribute to the design, development, delivery, review and enhancement of programmes of study within the faculty and across GBS., • Attend meetings as required by the role, • Develop productive working relationships with colleagues within and external to GBS., • Participate in internal and external events, such as programme reviews, open days, outreach activities, and partner visits., • Undertake a reflective programme of staff development which includes teaching observations, directed study, workshop participation and experiential learning., • Support and engage in the creation, application and/or dissemination of new knowledge in your field of study and/or in higher education practice., • Engage with the GBS performance management programme, meeting a range of clearly defined objectives for student attendance, continuation, completion, progression and satisfaction., • Act as a Module Leader or undertake other administrative/management duties, commensurate with the level of the appointment, and as determined by the Dean or Deputy Dean., • A Doctoral level qualification in counselling and/ or a demonstrable track record in research or other scholarly activity of relevance to counselling and/or demonstrable success at an equivalent level professionally., • Membership of an appropriate professional body with a complaints procedure to which you are subject., • Familiarity with, and agreement to work within, the current BACP Ethical Framework for the Counselling Professions., • Experience of teaching in UK higher education., • A passion for education as a transformative activity., • Experience of, and a passion for, working in widening access environments., • Excellent IT skills and competence with the Microsoft Office suite, including PowerPoint and Excel, • Excellent communication skills., • Experience of supervising student work and providing support and feedback., • Experience of supporting learners both face-to-face and remotely., • Demonstrable professional conduct in all interactions with staff and students., • Attention to detail and accurate reporting., • Ability to maintain thorough and organised student records., • Ability to work under pressure, plan and prioritise own workload to meet tight deadlines., • Ability to work with minimum supervision., • Current BACP counsellor/psychotherapist accreditation or be registered with an appropriate professional body to an equivalent level, • In current, supervised practice as a counsellor, • Student attendance, • Student submission rates, • Student pass rates The Lecturer will also be expected to demonstrate their commitment to: * GBS’s values. policies and regulations, including the equal opportunities policy. * GBS’s Social, Economic and Environmental responsibilities and minimise environmental impact in the performance of the role and actively contribute to the delivery of GBS’s Environmental Policy. What we offer: • 25 days annual leave, plus 8 public holiday, • 1-day extra leave per year of service, up to a maximum of 5 days, • Workplace pension scheme, • Tuition reimbursement for career development courses, • Flexible Benefits: Cycle to Work, Workplace Nursery, Tech scheme and much more, • Perks@Work discounts platform, wellbeing centre and much more, • Reward and recognition programme, • £500 award employee referral scheme — John Traichaisit, Consultant Lecturer GBS is committed to equality, diversity and inclusion and providing a workplace free from discrimination or harassment. We welcome applications from all backgrounds and communities. We take our core values seriously and work hard to create an environment where everyone feels welcomed. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned.

Location for this position is flexible, we are accepting candidates who are able to work Hybrid in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Lead Service Designer in our digital customer experience team, you'll own the design of world-class customer journeys and service models across sales and service experiences. You'll lead Service Design across Agile teams, drive service design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll contribute to CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: • Lead across a team of service designers to analyse, define, and improve end-to-end, multi-channels journeys that meet diverse customer needs and align with accessibility standards., • Drive strategic service design across portfolios, shaping journeys that align with business goals and championing the customer voice., • Partner with cross-functional leaders in Product, Design, Tech, Ops, and Architecture to deliver joined-up, scalable service solutions that meet real user needs., • Own the definition, evolution and adoption of service blueprints and journey maps across the customer lifecycle, and develop operational models that enable rather than restrict., • Work with design leadership to evolve service design methods, improve design operations, and drive adoption of AI-enhanced tools to improve service quality and efficiency., • Define end-to-end strategies, experience principles, frameworks, customer journeys and CX KPIs that connect digital, assisted, and real-world touchpoints with clarity and consistency.What you'll bring:, • Track record of leading service design and delivering impactful service design outcomes across large-scale digital products, services, and operations., • Expert-level skills in journey mapping, service blueprinting, stakeholder mapping, workshop facilitation and systems thinking., • Advanced use of journey maps, empathy maps, and insight repositories to embed customer needs throughout delivery, • Mastery in accessibility, user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to understand and improve journeys. 1. People - Helping develop high-performing teams., 2. Process - Applying scalable UCD methods that drive measurable outcomes., 3. Position - Influencing strategy and embedding design across an organisation., 4. Product - Producing provable world-class app-first digital experiences (Outcomes & Impact) 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 experiencesHow you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base • London (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. • OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Location for this position is flexible, we are accepting candidates who are able to work Hybrid in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Lead User Researcher in our Digital Customer Experience team, you'll help Sky better understand our customers and their needs. You'll lead research initiatives within Agile teams, collaborate across Sky to inform the transformation of digital journeys on sky.com and the My Sky app, and contribute to building a thriving research culture. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From first-time visitors to long-term customers, you'll ensure every digital interaction reflects Sky's brand and ambition to deliver outstanding customer experiences. What you'll do • Lead within a team of user researchers to analyse, define, and improve end-to-end journeys across multiple channels., • Plan and run research activities including usability testing, field studies, card sorting, tree testing, ethnography, diary studies, and surveys., • Champion the customer voice in strategic conversations, ensuring needs and behaviours drive prioritisation and design outcomes., • Shape research practices and operations, promoting the value of user research across the organisation, • Champion AI-enhanced research tools, analytics integration, and data-driven processes to improve efficiency, quality, and insight scalability., • Ensure accessibility, representation, and inclusive practices are embedded across all our digital experiences.What you'll bring, • Proven experience leading user research for large-scale digital products and services, with demonstrable impact across web and native applications., • Expert-level skills in qualitative and quantitative research methods including usability testing, field studies, surveys, card sorting, tree testing, ethnography, diary studies, and other behavioural research techniques., • Deep knowledge of research tooling ecosystems, including in-person lab testing, Usertesting, UserZoom, Optimal Workshop, and similar platforms., • Skilled at combining behavioural analytics e.g., Adobe Analytics, Contentsquare, with qualitative insights for evidence-based recommendations. 1. People - Helping develop high-performing teams., 2. Process - Applying scalable UCD methods that drive measurable outcomes., 3. Position - Influencing strategy and embedding design across an organisation., 4. Product - Producing provable world-class app-first digital experiences (Outcomes & Impact) 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 experiencesHow you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base • London (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. • OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

As a Customer Journey Strategy Manager you will be responsible for leading the future strategy and development of exceptional customer experiences across our most critical end-to-end customer journeys, both individually and as part of a cohesive and interconnected experience ecosystem. You’ll work closely with senior leaders, journey owners, design leads and product teams to lead the development of exceptional and differentiated customer journeys that deliver on Barclays drive to be best-in-class for customer experience. By leveraging data and insights from various sources, you’ll drive customer-centric solutions that address pain points and meet evolving customer needs. You will deliver the reimagining of customer journeys in line with the strategic vision, ensuring seamless, intuitive, and digitally enabled experiences. Additionally, you’ll drive collaboration across cross-functional teams, working with design, product, and technology stakeholders to prioritise and deliver strategic initiatives. You will also stay ahead of emerging customer experience trends and technologies, integrating these into journey strategies, while fostering a culture of experimentation, testing, and continuous improvement. To be successful as a Customer Journey Strategy Manager, you should have experience with * Strategic mindset with the ability to translate complex problems into innovative solutions. Comfortable working with systems design, understanding how this can be utilised for bigger picture journey transformation. * Considerable influencing and stakeholder management skills with experience of delivery in cross-functional, matrixed environments with multiple stakeholders. * Expertise in customer journey mapping and understanding of design thinking methodologies, partnering closely with Journey Design Leads to deliver quality journey artefacts. * Expertise in developing journey design blueprints and CX journey prototyping. * Developed commercial acumen, with an understanding of how excellent customer experience can drive effective business commercial outcomes. * Experience in customer data, customer/competitor & market insights and horizon scanning to identify opportunities inform strategic customer journey development. * Experience using CX Tools e.g. Figma, Adobe Analytics, Qualtrics. * Experience briefing in customer research, with deep understanding of how to synthesise insights into journey thematic and frame the cumulative impact of small but frequent journey issues into overall journey performance. * Developed facilitation and storytelling skills. * Understanding of agile working practices and the ability to work in cross-functional environments. * Considerable analytical and creative problem-solving skills with high levels of customer empathy. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based in Northampton, London (1CP) or Manchester (4PP). Purpose of the role To design the end to end journey of a service to enable a user to complete their goals. The work may involve the creation of, or change to, transactions, products and content across both digital and offline channels provided by different parts of Barclays. Accountabilities • Creation of design assets to drive business outcomes, including service blueprinting, customer journey mapping and service prototyping., • Creation of intuitive and user-friendly interfaces for digital banking platforms and applications for a seamless and engaging user experience., • Design and maintenance of visually appealing and consistent user interfaces that align with the bank's brand identity and design guidelines across digital products., • Creation of wireframes and interactive prototypes for visualisation and testing of product concepts and features before development., • Compliance to accessibility standards and guidelines to provide an inclusive experience for all users., • Monitoring of industry trends, design best practices, and emerging technologies to continuously improve the design quality and innovation of banking products., • Gathering and analysis of data from a wide range of sources to create in-depth insights into customer’s needs or pain-points to aid business understanding of the customer experience. Assistant Vice President Expectations • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions., • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes, • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others., • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes., • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues., • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda., • Take ownership for managing risk and strengthening controls in relation to the work done., • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function., • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy., • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively., • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience., • Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Location for this position is flexible, we are accepting candidates who are able to work Hybrid in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Lead Product Designer (Design System) in our digital customer experience team, you'll own the creation of world-class customer experiences and deliver transformative solutions across sky.com and the My Sky app via our design system. You'll lead Agile teams, drive design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: • Lead a small team of product designers to deliver world-class, innovative, and intuitive evidence-based user experiences across web and native platforms., • Own the Sky design system strategic direction, ensuring scalability, governance, and alignment with product strategy and business goals., • Partner with engineering, product, research, and analytics to ensure system usability, performance, and brand consistency across platforms., • Be responsible for system architecture, tokenisation, documentation quality, and design-engineering parity, while using AI tools and engaging with Design Ops to improve efficiency., • Champion inclusive design and embed WCAG 2.2 accessibility standards across all components, patterns, and motion principles., • Shape the end-to-end experience vision, define CX KPIs, and link design system adoption to measurable business outcomes.What you'll bring:, • Demonstrated experience delivering world-class, large-scale digital products and design systems across responsive web and native applications., • Expert-level skills with component libraries, token structures, and conditional prototyping for scalable systems., • Mastery in accessibility to create inclusive experiences, using user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to interpret user behaviour and analyse performance, • Proven experience partnering with developers on component implementation, governance pipelines, and code alignment. 1. People - Helping develop high-performing teams., 2. Process - Applying scalable UCD methods that drive measurable outcomes., 3. Position - Influencing strategy and embedding design across an organisation., 4. Product - Producing provable world-class app-first digital experiences (Outcomes & Impact) 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 experiencesHow you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base • London (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. • OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Within Commerce Design, this role supports the Head of Design responsible for Checkout, Activation, and Manage experiences, working closely with the Heads and Leads responsible for Hooks & Storefronts, and Commerce Foundations to create end to end experiences. It does not have people management responsibilities. Hiring manager sits in Philadelphia. What you'll do: • Mentorship, Lead;ership & Design Excellence • Actively mentor junior, mid-level and senior designers , fostering growth, empathy, and shared responsibility to support team health., • Provide thoughtful, actionable feedback and direction across UX and UI disciplines throughout the full design lifecycle , cultivating a collaborative and inclusive design culture., • Champion best practices and elevate design thinking through leadership, example, and active contribution., • Lead core and experimental projects, consistently raising the bar through hands-on execution and strategic initiative. - Strategic Design Leadership, • Own and drive medium-term design strategy, managing multiple projects simultaneously, shifting between direct design work and oversight roles., • Prioritize effectively to maintain momentum and deliver outcomes across complex, multi-platform efforts., • Maintain a strong professional presence and clearly articulate design rationale to diverse stakeholders with credibility and professionalism., • Collaborate closely with cross-functional partners in product, engineering, and business to drive outcomes. What you'll bring :, • Recent experience working either ( preferably ) as a Lead, or as a Senior, clearly ready to make the step to Lead ., • Experience leading multi-platform design projects (native mobile, web , tv experience a plus ) with a hands-on approach, working in collaboration with product and engineering teams., • Proven ability to manage multiple design projects simultaneously, shifting fluidly between hands-on design and strategic oversight of other designers. Ability to resolve ambiguity and maintain momentum to deliver outcomes., • A portfolio that highlights advanced UX/UI design expertise , demonstrating strong problem-solving skills and adaptability across new domains , as well as proficiency in leading design tools such as Figma and Adobe Suite . We need to see samples of documentation across the design process , including artifacts such as user journeys, detailed flows, wireframes, and polished high-fidelity designs ., • Excellent presentation skills, with the ability to tailor delivery appropriately to audience., • Experience designing complex, data-driven user flows and scenarios; commerce experience a plus . Team overview Organization: Global Design, within the Global Product Organization (GPO) We design the experience at the heart of the home , " weaving multiple vertical products into a single horizontal platform for partners, and a world-class"in-home experience for customers. Our full-stack design team encompasses UX & UI designers, industrial designers, content strategists and writers, user researchers, software engineers, and so much more - all focused on quality in even the tiniest details, so the sum total of the in-home experience is excellent for all customers . Team: Commerce Design The Commerce Design team sits within Global Design. We are a team of about 15 people across the US and UK who are responsible for in-product commerce experiences globally across Comcast, Sky and various syndication partners. We build a scalable, world-class commerce ecosystem extending across TV interfaces, mobile apps, and web . As systems thinkers, we simplify complex challenges to create intuitive customer experiences. Grounded in user research, we balance customer needs with business goals and data insights to deliver effective solutions. 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. Within Commerce Design, this role supports the Head of Design responsible for Checkout, Activation, and Manage experiences, working closely with the Heads and Leads responsible for Hooks & Storefronts, and Commerce Foundations to create end to end experiences. It does not have people management responsibilities. Hiring manager sits in Philadelphia. What you'll do: • Mentorship, Lead;ership & Design Excellence • Actively mentor junior, mid-level and senior designers , fostering growth, empathy, and shared responsibility to support team health., • Provide thoughtful, actionable feedback and direction across UX and UI disciplines throughout the full design lifecycle , cultivating a collaborative and inclusive design culture., • Champion best practices and elevate design thinking through leadership, example, and active contribution., • Lead core and experimental projects, consistently raising the bar through hands-on execution and strategic initiative. - Strategic Design Leadership, • Own and drive medium-term design strategy, managing multiple projects simultaneously, shifting between direct design work and oversight roles., • Prioritize effectively to maintain momentum and deliver outcomes across complex, multi-platform efforts., • Maintain a strong professional presence and clearly articulate design rationale to diverse stakeholders with credibility and professionalism., • Collaborate closely with cross-functional partners in product, engineering, and business to drive outcomes. What you'll bring :, • Recent experience working either ( preferably ) as a Lead, or as a Senior, clearly ready to make the step to Lead ., • Experience leading multi-platform design projects (native mobile, web , tv experience a plus ) with a hands-on approach, working in collaboration with product and engineering teams., • Proven ability to manage multiple design projects simultaneously, shifting fluidly between hands-on design and strategic oversight of other designers. Ability to resolve ambiguity and maintain momentum to deliver outcomes., • A portfolio that highlights advanced UX/UI design expertise , demonstrating strong problem-solving skills and adaptability across new domains , as well as proficiency in leading design tools such as Figma and Adobe Suite . We need to see samples of documentation across the design process , including artifacts such as user journeys, detailed flows, wireframes, and polished high-fidelity designs ., • Excellent presentation skills, with the ability to tailor delivery appropriately to audience., • Experience designing complex, data-driven user flows and scenarios; commerce experience a plus . Team overview Organization: Global Design, within the Global Product Organization (GPO) We design the experience at the heart of the home , " weaving multiple vertical products into a single horizontal platform for partners, and a world-class"in-home experience for customers. Our full-stack design team encompasses UX & UI designers, industrial designers, content strategists and writers, user researchers, software engineers, and so much more - all focused on quality in even the tiniest details, so the sum total of the in-home experience is excellent for all customers . Team: Commerce Design The Commerce Design team sits within Global Design. We are a team of about 15 people across the US and UK who are responsible for in-product commerce experiences globally across Comcast, Sky and various syndication partners. We build a scalable, world-class commerce ecosystem extending across TV interfaces, mobile apps, and web . As systems thinkers, we simplify complex challenges to create intuitive customer experiences. Grounded in user research, we balance customer needs with business goals and data insights to deliver effective solutions. 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. Within Commerce Design, this role supports the Head of Design responsible for Checkout, Activation, and Manage experiences, working closely with the Heads and Leads responsible for Hooks & Storefronts, and Commerce Foundations to create end to end experiences. It does not have people management responsibilities. Hiring manager sits in Philadelphia. What you'll do: • Mentorship, Lead;ership & Design Excellence • Actively mentor junior, mid-level and senior designers , fostering growth, empathy, and shared responsibility to support team health., • Provide thoughtful, actionable feedback and direction across UX and UI disciplines throughout the full design lifecycle , cultivating a collaborative and inclusive design culture., • Champion best practices and elevate design thinking through leadership, example, and active contribution., • Lead core and experimental projects, consistently raising the bar through hands-on execution and strategic initiative. - Strategic Design Leadership, • Own and drive medium-term design strategy, managing multiple projects simultaneously, shifting between direct design work and oversight roles., • Prioritize effectively to maintain momentum and deliver outcomes across complex, multi-platform efforts., • Maintain a strong professional presence and clearly articulate design rationale to diverse stakeholders with credibility and professionalism., • Collaborate closely with cross-functional partners in product, engineering, and business to drive outcomes. What you'll bring :, • Recent experience working either ( preferably ) as a Lead, or as a Senior, clearly ready to make the step to Lead ., • Experience leading multi-platform design projects (native mobile, web , tv experience a plus ) with a hands-on approach, working in collaboration with product and engineering teams., • Proven ability to manage multiple design projects simultaneously, shifting fluidly between hands-on design and strategic oversight of other designers. Ability to resolve ambiguity and maintain momentum to deliver outcomes., • A portfolio that highlights advanced UX/UI design expertise , demonstrating strong problem-solving skills and adaptability across new domains , as well as proficiency in leading design tools such as Figma and Adobe Suite . We need to see samples of documentation across the design process , including artifacts such as user journeys, detailed flows, wireframes, and polished high-fidelity designs ., • Excellent presentation skills, with the ability to tailor delivery appropriately to audience., • Experience designing complex, data-driven user flows and scenarios; commerce experience a plus . Team overview Organization: Global Design, within the Global Product Organization (GPO) We design the experience at the heart of the home , " weaving multiple vertical products into a single horizontal platform for partners, and a world-class"in-home experience for customers. Our full-stack design team encompasses UX & UI designers, industrial designers, content strategists and writers, user researchers, software engineers, and so much more - all focused on quality in even the tiniest details, so the sum total of the in-home experience is excellent for all customers . Team: Commerce Design The Commerce Design team sits within Global Design. We are a team of about 15 people across the US and UK who are responsible for in-product commerce experiences globally across Comcast, Sky and various syndication partners. We build a scalable, world-class commerce ecosystem extending across TV interfaces, mobile apps, and web . As systems thinkers, we simplify complex challenges to create intuitive customer experiences. Grounded in user research, we balance customer needs with business goals and data insights to deliver effective solutions. 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. Within Commerce Design, this role supports the Head of Design responsible for Checkout, Activation, and Manage experiences, working closely with the Heads and Leads responsible for Hooks & Storefronts, and Commerce Foundations to create end to end experiences. It does not have people management responsibilities. Hiring manager sits in Philadelphia. What you'll do: • Mentorship, Lead;ership & Design Excellence • Actively mentor junior, mid-level and senior designers , fostering growth, empathy, and shared responsibility to support team health., • Provide thoughtful, actionable feedback and direction across UX and UI disciplines throughout the full design lifecycle , cultivating a collaborative and inclusive design culture., • Champion best practices and elevate design thinking through leadership, example, and active contribution., • Lead core and experimental projects, consistently raising the bar through hands-on execution and strategic initiative. - Strategic Design Leadership, • Own and drive medium-term design strategy, managing multiple projects simultaneously, shifting between direct design work and oversight roles., • Prioritize effectively to maintain momentum and deliver outcomes across complex, multi-platform efforts., • Maintain a strong professional presence and clearly articulate design rationale to diverse stakeholders with credibility and professionalism., • Collaborate closely with cross-functional partners in product, engineering, and business to drive outcomes. What you'll bring :, • Recent experience working either ( preferably ) as a Lead, or as a Senior, clearly ready to make the step to Lead ., • Experience leading multi-platform design projects (native mobile, web , tv experience a plus ) with a hands-on approach, working in collaboration with product and engineering teams., • Proven ability to manage multiple design projects simultaneously, shifting fluidly between hands-on design and strategic oversight of other designers. Ability to resolve ambiguity and maintain momentum to deliver outcomes., • A portfolio that highlights advanced UX/UI design expertise , demonstrating strong problem-solving skills and adaptability across new domains , as well as proficiency in leading design tools such as Figma and Adobe Suite . We need to see samples of documentation across the design process , including artifacts such as user journeys, detailed flows, wireframes, and polished high-fidelity designs ., • Excellent presentation skills, with the ability to tailor delivery appropriately to audience., • Experience designing complex, data-driven user flows and scenarios; commerce experience a plus . Team overview Organization: Global Design, within the Global Product Organization (GPO) We design the experience at the heart of the home , " weaving multiple vertical products into a single horizontal platform for partners, and a world-class"in-home experience for customers. Our full-stack design team encompasses UX & UI designers, industrial designers, content strategists and writers, user researchers, software engineers, and so much more - all focused on quality in even the tiniest details, so the sum total of the in-home experience is excellent for all customers . Team: Commerce Design The Commerce Design team sits within Global Design. We are a team of about 15 people across the US and UK who are responsible for in-product commerce experiences globally across Comcast, Sky and various syndication partners. We build a scalable, world-class commerce ecosystem extending across TV interfaces, mobile apps, and web . As systems thinkers, we simplify complex challenges to create intuitive customer experiences. Grounded in user research, we balance customer needs with business goals and data insights to deliver effective solutions. 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. Within Commerce Design, this role supports the Head of Design responsible for Checkout, Activation, and Manage experiences, working closely with the Heads and Leads responsible for Hooks & Storefronts, and Commerce Foundations to create end to end experiences. It does not have people management responsibilities. Hiring manager sits in Philadelphia. What you'll do: • Mentorship, Lead;ership & Design Excellence • Actively mentor junior, mid-level and senior designers , fostering growth, empathy, and shared responsibility to support team health., • Provide thoughtful, actionable feedback and direction across UX and UI disciplines throughout the full design lifecycle , cultivating a collaborative and inclusive design culture., • Champion best practices and elevate design thinking through leadership, example, and active contribution., • Lead core and experimental projects, consistently raising the bar through hands-on execution and strategic initiative. - Strategic Design Leadership, • Own and drive medium-term design strategy, managing multiple projects simultaneously, shifting between direct design work and oversight roles., • Prioritize effectively to maintain momentum and deliver outcomes across complex, multi-platform efforts., • Maintain a strong professional presence and clearly articulate design rationale to diverse stakeholders with credibility and professionalism., • Collaborate closely with cross-functional partners in product, engineering, and business to drive outcomes. What you'll bring :, • Recent experience working either ( preferably ) as a Lead, or as a Senior, clearly ready to make the step to Lead ., • Experience leading multi-platform design projects (native mobile, web , tv experience a plus ) with a hands-on approach, working in collaboration with product and engineering teams., • Proven ability to manage multiple design projects simultaneously, shifting fluidly between hands-on design and strategic oversight of other designers. Ability to resolve ambiguity and maintain momentum to deliver outcomes., • A portfolio that highlights advanced UX/UI design expertise , demonstrating strong problem-solving skills and adaptability across new domains , as well as proficiency in leading design tools such as Figma and Adobe Suite . We need to see samples of documentation across the design process , including artifacts such as user journeys, detailed flows, wireframes, and polished high-fidelity designs ., • Excellent presentation skills, with the ability to tailor delivery appropriately to audience., • Experience designing complex, data-driven user flows and scenarios; commerce experience a plus . Team overview Organization: Global Design, within the Global Product Organization (GPO) We design the experience at the heart of the home , " weaving multiple vertical products into a single horizontal platform for partners, and a world-class"in-home experience for customers. Our full-stack design team encompasses UX & UI designers, industrial designers, content strategists and writers, user researchers, software engineers, and so much more - all focused on quality in even the tiniest details, so the sum total of the in-home experience is excellent for all customers . Team: Commerce Design The Commerce Design team sits within Global Design. We are a team of about 15 people across the US and UK who are responsible for in-product commerce experiences globally across Comcast, Sky and various syndication partners. We build a scalable, world-class commerce ecosystem extending across TV interfaces, mobile apps, and web . As systems thinkers, we simplify complex challenges to create intuitive customer experiences. Grounded in user research, we balance customer needs with business goals and data insights to deliver effective solutions. 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 We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Within Commerce Design, this role supports the Head of Design responsible for Checkout, Activation, and Manage experiences, working closely with the Heads and Leads responsible for Hooks & Storefronts, and Commerce Foundations to create end to end experiences. It does not have people management responsibilities. Hiring manager sits in Philadelphia. What you'll do: • Mentorship, Lead;ership & Design Excellence • Actively mentor junior, mid-level and senior designers , fostering growth, empathy, and shared responsibility to support team health., • Provide thoughtful, actionable feedback and direction across UX and UI disciplines throughout the full design lifecycle , cultivating a collaborative and inclusive design culture., • Champion best practices and elevate design thinking through leadership, example, and active contribution., • Lead core and experimental projects, consistently raising the bar through hands-on execution and strategic initiative. - Strategic Design Leadership, • Own and drive medium-term design strategy, managing multiple projects simultaneously, shifting between direct design work and oversight roles., • Prioritize effectively to maintain momentum and deliver outcomes across complex, multi-platform efforts., • Maintain a strong professional presence and clearly articulate design rationale to diverse stakeholders with credibility and professionalism., • Collaborate closely with cross-functional partners in product, engineering, and business to drive outcomes. What you'll bring :, • Recent experience working either ( preferably ) as a Lead, or as a Senior, clearly ready to make the step to Lead ., • Experience leading multi-platform design projects (native mobile, web , tv experience a plus ) with a hands-on approach, working in collaboration with product and engineering teams., • Proven ability to manage multiple design projects simultaneously, shifting fluidly between hands-on design and strategic oversight of other designers. Ability to resolve ambiguity and maintain momentum to deliver outcomes., • A portfolio that highlights advanced UX/UI design expertise , demonstrating strong problem-solving skills and adaptability across new domains , as well as proficiency in leading design tools such as Figma and Adobe Suite . We need to see samples of documentation across the design process , including artifacts such as user journeys, detailed flows, wireframes, and polished high-fidelity designs ., • Excellent presentation skills, with the ability to tailor delivery appropriately to audience., • Experience designing complex, data-driven user flows and scenarios; commerce experience a plus . Team overview Organization: Global Design, within the Global Product Organization (GPO) We design the experience at the heart of the home , " weaving multiple vertical products into a single horizontal platform for partners, and a world-class"in-home experience for customers. Our full-stack design team encompasses UX & UI designers, industrial designers, content strategists and writers, user researchers, software engineers, and so much more - all focused on quality in even the tiniest details, so the sum total of the in-home experience is excellent for all customers . Team: Commerce Design The Commerce Design team sits within Global Design. We are a team of about 15 people across the US and UK who are responsible for in-product commerce experiences globally across Comcast, Sky and various syndication partners. We build a scalable, world-class commerce ecosystem extending across TV interfaces, mobile apps, and web . As systems thinkers, we simplify complex challenges to create intuitive customer experiences. Grounded in user research, we balance customer needs with business goals and data insights to deliver effective solutions. 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 We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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

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

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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Within Commerce Design, this role supports the Head of Design responsible for Checkout, Activation, and Manage experiences, working closely with the Heads and Leads responsible for Hooks & Storefronts, and Commerce Foundations to create end to end experiences. It does not have people management responsibilities. Hiring manager sits in Philadelphia. What you'll do: • Mentorship, Lead;ership & Design Excellence • Actively mentor junior, mid-level and senior designers , fostering growth, empathy, and shared responsibility to support team health., • Provide thoughtful, actionable feedback and direction across UX and UI disciplines throughout the full design lifecycle , cultivating a collaborative and inclusive design culture., • Champion best practices and elevate design thinking through leadership, example, and active contribution., • Lead core and experimental projects, consistently raising the bar through hands-on execution and strategic initiative. - Strategic Design Leadership, • Own and drive medium-term design strategy, managing multiple projects simultaneously, shifting between direct design work and oversight roles., • Prioritize effectively to maintain momentum and deliver outcomes across complex, multi-platform efforts., • Maintain a strong professional presence and clearly articulate design rationale to diverse stakeholders with credibility and professionalism., • Collaborate closely with cross-functional partners in product, engineering, and business to drive outcomes. What you'll bring :, • Recent experience working either ( preferably ) as a Lead, or as a Senior, clearly ready to make the step to Lead ., • Experience leading multi-platform design projects (native mobile, web , tv experience a plus ) with a hands-on approach, working in collaboration with product and engineering teams., • Proven ability to manage multiple design projects simultaneously, shifting fluidly between hands-on design and strategic oversight of other designers. Ability to resolve ambiguity and maintain momentum to deliver outcomes., • A portfolio that highlights advanced UX/UI design expertise , demonstrating strong problem-solving skills and adaptability across new domains , as well as proficiency in leading design tools such as Figma and Adobe Suite . We need to see samples of documentation across the design process , including artifacts such as user journeys, detailed flows, wireframes, and polished high-fidelity designs ., • Excellent presentation skills, with the ability to tailor delivery appropriately to audience., • Experience designing complex, data-driven user flows and scenarios; commerce experience a plus . Team overview Organization: Global Design, within the Global Product Organization (GPO) We design the experience at the heart of the home , " weaving multiple vertical products into a single horizontal platform for partners, and a world-class"in-home experience for customers. Our full-stack design team encompasses UX & UI designers, industrial designers, content strategists and writers, user researchers, software engineers, and so much more - all focused on quality in even the tiniest details, so the sum total of the in-home experience is excellent for all customers . Team: Commerce Design The Commerce Design team sits within Global Design. We are a team of about 15 people across the US and UK who are responsible for in-product commerce experiences globally across Comcast, Sky and various syndication partners. We build a scalable, world-class commerce ecosystem extending across TV interfaces, mobile apps, and web . As systems thinkers, we simplify complex challenges to create intuitive customer experiences. Grounded in user research, we balance customer needs with business goals and data insights to deliver effective solutions. 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 We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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

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. \n 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. \nJob Purpose\n 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. \n 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. \n 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. \n More information about our offering is available here: \nRole & Responsibilities\n\n • Deliver financial modelling training courses in a combination of scheduled public (open) and tailored inhouse course, digital and classroom\n, • Actively work to build the business, and develop strong client relationships, both in Training and for the broader Energy and Infrastructure sector team\n, • Proactively collaborate with colleagues in Toronto, New York, Johannesburg, Paris, Delhi and Sydney on a weekly basis \n, • Prepare and deliver webinars, online tutorials, blogs, and LinkedIn posts, on financial modelling topics\n, • Travel for classroom courses, typically in Europe, and occasionally to the Middle East, Africa, and North America\n, • Support the development of courses and specialised delivery with input into tailoring of course content\n, • Take responsibility for the successful delivery of courses, working with our Client Service Manager (for logistics, venues, etc) and dedicated Business Development team \n, • Research and explore new courses and modules to ensure that we remain a leader in our field\n\nSkills, Knowledge & Experience\n\n, • Extensive experience in developing financial models for the energy & infrastructure sector\n, • Excellent written and oral presentation skills, with a passion for teaching at all levels - from Graduates to Executive Management \n, • Demonstrable project management skills and ability to work toward agreed timetables\n, • Commercial experience in the energy and infrastructure sector, ideally in development, credit, investments and/or valuations\n, • Experience of building enduring relationships with clients \n, • Highly pro-active team player with a proven ability to build constructive professional relationships at all levels\n, • Passionate about best-practice financial modelling for project finance, valuations and transactions\n, • Excellent finance and accounting knowledge - ACA, CFA or other certifications are desirable\n, • Professional level of English both written and verbal\n, • A second (or thirds) language is desirable, particularly Spanish, French, German and/or Arabic\n

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced Back-end Engineer seeking new and exciting opportunities? While we may not have an immediate vacancy, we’re always on the lookout for talented individuals to join our Talent Pool. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For We want to connect with Back-end Engineers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering) or equivalent professional experience., • Strong Python skills, with experience in back-end development and unit testing., • Familiarity with generative AI concepts, particularly Large Language Models., • Experience with cloud platforms (Google Cloud preferred), including core web application infrastructure., • Knowledge of agile practices and ability to thrive in collaborative, iterative environments., • Proficiency with modern development tools and workflows (e.g., git/GitHub, DevOps practices), with a mindset of commit early and deploy often., • Understanding of web development best practices, modern design principles, and continuous integration workflows., • Experience with automated testing tools and building robust test suites. What You Might Be Doing As an Back-end Engineer at GSK, you could get involved with: • Backend development for Python-based web applications., • Integration of AI/ML components with backend systems, data pipelines, and compute infrastructure., • Delivering high-quality implementations following best practices, including automated testing and documentation., • Participating in code reviews and collaborating with technical teams across disciplines., • Supporting evaluations and insights on generative AI datasets. Why Join Our Talent Pool? • Be the first to hear about new back-end roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced Project Lead looking for your next challenge? We’re building a talent pool of exceptional leaders who can drive complex, cross-functional projects and deliver meaningful change across our organization. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For We want to connect with Project Leads who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • Proven experience leading complex projects or change initiatives in a matrix environment., • Strong leadership presence and ability to influence senior stakeholders., • Excellent team management and coordination skills., • High learning agility and a consulting mindset – comfortable with ambiguity and adept at problem-solving., • Ability to build networks quickly and manage relationships across organizational boundaries., • A proactive, solution-oriented approach with strong decision-making capability., • Experience in global organizations and working across multiple functions., • Bachelor’s degree or equivalent experience. What You Might Be Doing As a Project Lead at GSK, you could get involved with: • Leading and shaping strategic projects from initial design through to successful delivery and transition to business-as-usual., • Partnering with senior stakeholders across multiple teams and geographies to ensure alignment, accountability, and clear ownership of deliverables., • Creating and maintaining robust project plans, including scope, objectives, timelines, risk management, and performance tracking., • Fostering collaboration and engagement, building strong relationships and ensuring effective communication across diverse teams., • Driving problem-solving and decision-making, navigating ambiguity and overcoming obstacles to achieve project goals., • Ensuring smooth project closure, capturing lessons learned and embedding sustainable solutions. Why Join Our Talent Pool? • Be the first to hear about new Project Lead roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

Senior AI Engineers - Generative AI & Information Retrieval 💼 Hybrid London (1–2 days/week onsite) 💰 Up to £130k + Equity + Benefits We’re hiring three Senior AI Engineers to join two rapidly growing teams within a high-growth fintech/data intelligence scaleup. You’ll work on cutting-edge Generative AI, LLMs, NLP, and Information Retrieval, building production systems used by global customers. You’ll join a highly talented AI organisation (reporting into the Senior ML Manager) and work closely with product, backend, and frontend teams to ship impactful, user-facing AI features. 📌 Open Senior Roles (3 Total) 1. Senior GenAI Engineer - Client Features Build the next generation of customer-facing GenAI features. You will: • Build LLM-powered workflows, chat systems, and assistant-style features., • Develop simple, reliable systems that solve real customer problems (no over-engineering)., • Work closely with product and UX to shape user-facing AI experiences., • Strong hands-on experience with GenAI, LLMs, agentic frameworks, or chat/workflow apps., • Excellent Python and software engineering fundamentals., • Solid cloud experience (AWS preferred, GCP/Azure fine)., • Product-minded approach and ability to work cross-functionally. 2. Senior AI Engineer - Information Retrieval (Engineering-Focused) Own engineering for large-scale Information Retrieval/NLP pipelines. You will: • Build and optimise retrieval, ranking, and document processing systems., • Implement transformers, embeddings, search pipelines and evaluation frameworks., • Strong ML engineering background., • Experience in document processing, NLP, embeddings, transformers., • Python expertise, solid engineering foundations., • Experience shipping IR/ML systems in production environments. 3. Senior AI Engineer - Information Retrieval (Research-Focused) Drive applied research within a production-focused Information Retrieval team. You will: • Research and improve retrieval and NLP models., • Design experiments, run evaluations, and iterate on modelling approaches., • Strong applied research experience (PhD or academic work a plus)., • Deep background in retrieval, NLP, LLM evaluation, document understanding., • Python & cloud experience and ability to contribute to production code when needed. 📌 What We’re Looking For Across All Senior Roles Technical Requirements • Strong Python skills, • Cloud experience (AWS preferred), • Experience deploying ML/LLM/IR models, • Background in at least one of:, • LLMs & GenAI, • Information Retrieval, • NLP / Document Processing, • Transformer-based architectures, • Collaborative and pragmatic, • Comfortable in high-growth, product-driven teams, • Able to work fast without over-engineering, • Passionate about modern AI and problem-solving These positions do not provide visa sponsorship and require existing right to work in the UK. Please note: Due to the high volume of applications we are not always able to respond to all applicants, if you have not had a response within 7 days of your application it is likely it has been unsuccessful. If your skillset matched, please apply within.

Quantitative Developer – C# / Python London | Full-time The mission Join a leading quantitative research and trading firm using heavy compute and modern engineering to tackle some of the hardest problems in systematic finance. You’ll sit close to the money, turning cutting‑edge research into production systems that run at scale in global markets. The role This is a hands‑on engineering role working side‑by‑side with quants. You’ll design, build and optimise trading, simulation and research systems in C# and Python, with huge emphasis on performance, reliability and clean architecture. What you’ll do • Build and evolve trading systems that run 24/6 with real capital at stake., • Develop modelling and simulation frameworks that quants use to test and refine strategies., • Improve research tooling and workflows so ideas move smoothly from prototype to production., • Push performance and scalability in core services, unlocking new research and trading capabilities., • Take end‑to‑end ownership of projects, from design through to deployment and iteration. What you bring • Strong software engineering fundamentals: algorithms, data structures, architecture., • Commercial experience in C# and/or Python, ideally on complex, high‑performance systems., • Interest in quantitative finance and how engineering accelerates research and trading., • Comfort working closely with stakeholders, prioritising impact and communicating clearly. Why you might care • Work at the intersection of advanced research, serious engineering and real‑world markets., • Industry‑leading compensation, deep technical culture, serious investment in tools, learning and long‑term career growth.

A leading global investment firm specialising in quantitative and systematic strategies is seeking a talented Data Scientist (with good data engineering skills) to join a high-impact team at the intersection of research, trading, and engineering. The firm operates across all major liquid asset classes and is driven by a scientific, data-first approach to investing. With a strong culture of innovation and collaboration, the team continuously explores new ways to harness data for alpha generation. About the Role This is a unique opportunity to work in a cross-functional environment where data is central to investment decision-making. You'll be part of a specialist group that partners closely with trading and research teams to ensure data is efficiently sourced, transformed, and deployed across the investment process. Key Responsibilities • Collaborate with trading and research teams to design and implement robust data pipelines tailored to investment strategies., • Work with data engineers to onboard and integrate new datasets, ensuring they are production-ready and aligned with business needs., • Develop and prototype tools to extract, clean, and aggregate data from diverse sources and formats., • Lead the end-to-end onboarding of new datasets, from discovery through to deployment., • Continuously improve data workflows by identifying bottlenecks and implementing scalable solutions., • Experiment with novel data acquisition and transformation techniques to expand the firm's data capabilities. Ideal Candidate Profile • 3+ years of experience in a data science or data engineering role, ideally within a quantitative or financial setting., • Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Physics, Computer Science, or Engineering., • Strong Python programming skills, particularly with data-centric libraries like Pandas and NumPy., • Demonstrated interest in financial markets and the application of data to investment research., • Experience working with both traditional and alternative financial datasets., • Excellent communication skills and the ability to collaborate effectively with technical and non-technical stakeholders., • Comfortable working in a fast-paced, high-performance environment. If you feel the above fits with your expeirence and are ready to join a fast paced and high performing fund, apply today!

Safe Intelligence is on a mission to make AI safe and reliable for everyone. To help us achieve this, we're seeking a Full Stack Software Engineer to join our team! We're particularly looking for someone with strong Golang, Typescript and Kubernetes experience. Python skills would also be a welcome bonus! We’re looking for experience of different types of architectures and understanding of the tradeoffs between them. In this role, you'll be a senior contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. Note: the role is 3-4 days per week in the office in London (based in Hammersmith). We're excited to have you contribute to our mission! Responsibilities: As a Safe Intelligence Full Stack Software Engineer, you will: • Engineering of Golang-based backend systems, focusing on API development and integration., • Engineering on our TypeScript-based frontend systems, primarily utilizing React to craft intuitive and highly functional user interfaces., • Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows., • Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations., • Collaborate closely with our scientific and technical teams to interface with and containerize our PyTorch-based verification toolkit., • Champion an API-first development approach to deliver feature-rich, versioned interfaces that support both our TypeScript user interface and Python-based SDKs., • Develop and maintain Infrastructure as Code (IaC) and DevOps pipelines to ensure reliable service delivery and updates. Requirements: The technical requirements for the role are: Must have: • Ability and experience in system programming using Golang. This includes knowledge of database (MongoDB) access patterns (e.g., Optimistic Concurrency Control - OCC) and schema design, domain-driven architecture, and concurrency., • Proven experience developing production-grade RESTful APIs ideally with an API-first approach., • Some proficiency in JavaScript/TypeScript-based frontend development, with extensive expertise in React. This includes a deep understanding of the DOM, component design, CSS, and state management., • Familiarity with Kubernetes-specific platform components and principles, such as load balancers, cluster DNS, autoscalers, API/SDK toolsets, and the operator pattern. Experience developing and containerizing microservice applications is a plus., • Proficiency in integration and unit testing, with a strong commitment to code quality and maintainability., • Strong knowledge of DevOps and Git best practices. Experience automating version control, testing, and releases, preferably with GitHub Actions. Nice-to-have: • Familiarity with the OpenAPI specification and code generation toolsets for API development., • Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial., • Experience configuring and maintaining cloud infrastructure including network infrastructure, compute, access control policies, load balancers, Public Key Infrastructure (PKI), and DNS. Ideally, experience with AWS and Terraform or similar IaC tools. At a personal level we’re also looking for someone who is: • Passionate about delivering software to realize safe AI solutions in line with client needs., • Deeply technical and constantly in a state of learning., • Able to communicate clearly and efficiently with a variety of audiences including developers, clients, researchers, partners and executives., • Fearless in getting "hands-on" with technology and execution., • Has a strong understanding of modern software engineering processes., • Comfortable with ambiguity with a drive for clarity., • Collaborative with, and respectful of others on the team., • Honest, straightforward and caring about each other’s well being. Why Safe Intelligence is for you: We strongly believe AI can empower individuals and society to be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. Compensation & Benefits Safe Intelligence provides competitive compensation based on role and candidate experience. In addition, company benefits for all roles include: • Stock option benefits, • Mentoring, learning and development allowance, • Regular team social and work events, • Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives. Equality and Inclusion We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. Location & Office Culture Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience. Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety). Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!

Machine Learning Scientist [Analyst/Associate] About the job As a Machine Learning Scientist 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 deliver machine learning solutions that unlock value and accelerate decision-making. Your work will range from developing and validating robust predictive models for pricing and valuation across diverse asset classes to dynamically optimizing prices under changing market conditions. You’ll be expected to translate complex data into actionable insights and ensure your solutions are not only technically sound but also adopted and delivering measurable business value, supporting deal team members and portfolio company executives. We’re looking for machine learning scientists who are passionate about impact—those who bring deep statistical knowledge, thrive in fast-paced environments, and want to see their models deployed, used, and making a difference. What you will do • Build and deliver AI solutions: Design and implement advanced models and systems as both an individual contributor and as part of cross-functional teams., • Drive impact through execution: Apply a hypothesis-driven approach to design solutions, collaborate with technical teams, and deliver results that create measurable business value., • Work in an agile, fast-paced environment: Rapidly iterate and adapt to changing priorities, using creativity and pragmatism to maximize outcomes., • Leverage modern tools and methods: Develop innovative solutions using contemporary platforms, languages, and frameworks, and package IP into reusable components., • Communicate insights effectively: Translate complex technical concepts into clear, compelling narratives that drive understanding and action across technical and non-technical audiences., • Build trust through delivery: Establish credibility by delivering high-quality solutions, challenging assumptions constructively, and iterating quickly in response to feedback., • Develop broad technical capability: Work across the full data science lifecycle, continuously learning and applying new technologies. Sample project you will work on: • Real estate portfolio valuation: Work on developing advanced valuation models for real estate portfolios using internal and external data sources. This includes building predictive models with uncertainty estimates, improving model performance through rigorous evaluation, and creating data pipelines to support modelling and analytics. You’ll also prototype processes downstream of valuation models, such as optimization approaches, to enhance pricing strategies, collaborating with stakeholders to integrate these solutions into business processes., • Price optimization & forecasting for goods: Develop machine learning models to forecast demand and optimize pricing strategies for goods sold by a portfolio company. You’ll build predictive models that incorporate seasonality and competitive pricing data, while quantifying uncertainty and maintaining model explainability to support robust, transparent decision-making. 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 a least two of applied statistics, machine learning, forecasting, NLP, or optimization. Experience with uncertainty quantification, model evaluation, and statistical inference is highly valued., • Python expertise: Skilled 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 modelling workflows., • Model development & deployment: Familiarity with deploying models into production environments, collaborating with engineering teams, and using tools like MLflow or Weights & Biases for experiment tracking and reproducibility. Proof of work in cloud environments, especially MS Azure, is a plus., • Research mindset with business impact: Ability to translate complex problems into tractable modelling approaches. Strong problem-solving skills, intellectual curiosity, and a pragmatic approach to delivering solutions that drive measurable business value., • Collaboration and Communication: Demonstrated experience working in collaborative development environments using tools like Git and Azure DevOps. Comfortable contributing to shared codebases, participating in code reviews, and managing branches and CI/CD workflows. Proven ability to work cross-functionally with data scientists, engineers, and non-technical stakeholders to translate business needs into technical solutions and ensure successful delivery and adoption. 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.

Lead Machine Learning Engineer Location: London (Hybrid) Salary: Highly Competitive + Benefits We’re partnered with an innovative AI company building world-class technology that powers real-time voice and audio intelligence. Their products use deep learning and signal processing to isolate speech, eliminate background noise, and enhance communication clarity across enterprise, consumer, and high-performance sectors. They’re now looking for a Lead Machine Learning Engineer to take a hands-on leadership role within their R&D team. This position combines technical ownership and strategic direction, guiding the research, development, and deployment of machine learning models for real-time speech enhancement. Responsibilities: • Lead the design, training, and optimisation of ML models for speech separation and noise reduction., • Provide technical leadership and mentorship to a small, high-performing engineering team., • Bridge research and production — ensuring scalable, low-latency model deployment., • Collaborate cross-functionally with software and product teams to integrate ML systems into live products., • Contribute to the company’s long-term AI strategy and technical roadmap. Requirements: • MSc or PhD in Computer Science, Machine Learning, or Signal Processing., • Proven experience in leading or mentoring ML/AI engineering teams., • Deep understanding of digital signal processing and speech/audio modelling., • Proficiency with Python, PyTorch/TensorFlow, and modern ML frameworks., • Track record of delivering production-grade ML systems with measurable performance improvements., • Experience with low-latency inference and model optimisation (ONNX, TensorRT, quantisation) is highly desirable. This is an opportunity to take ownership of the machine learning function within a growing AI company, driving innovation in real-time communication and audio intelligence. If you fit the requirements and are interested in this opportunity, then apply now! Otherwise, if you're interested in any other AI/ML and Computer Vision roles, then reach out to Oscar Harper at IC Resources.

Join us at Entrust At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely. Get to Know Us Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future. About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for a Senior Applied Scientist to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data. Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

Job Title: Head of Product – Third-Party CyberSecurity Intelligence Platform Location: London (Remote) Reports to: CEO About the Client: Our client helps enterprises discover, assess, and respond to third-party and supply-chain risks through advanced AI-driven analytics and intelligence. Their mission is to deliver continuous, data-backed visibility into the extended enterprise — enabling organizations to identify vulnerabilities, map their digital ecosystems, and make informed decisions about vendor and partner risk. As they continue to scale their platform, we are seeking a Head of Product to lead a world-class technical team, shape the architectural vision, and drive execution across multiple product streams — including large-scale data pipelines and real-time risk intelligence systems. Role Overview: As Head of Product you will be responsible for owning the product roadmap and execution for one or more major modules of our platform (e.g., discovery & mapping, risk scoring & analytics, automated response). You will work closely with the CTO/founder, engineering, data/AI teams, UX/design, marketing, and customer-success to define product strategy, prioritise features, and deliver value to customers and the business. You will play a key role in shaping the product direction, defining metrics, understanding market/competitive dynamics, and ensuring that we build a product that addresses real pain points for our users (e.g., cybersecurity/risk teams, GRC teams, supply chain teams). Key Responsibilities: • Define and maintain a compelling product vision and roadmap aligned with business goals, customer needs and market dynamics (third-party risk, supply chain resilience, AI-driven intelligence)., • Engage deeply with customers (prospects, existing users) to understand their workflows, pain points, and desired outcomes; translate those into product requirements., • Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery., • Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time to respond, customer retention/expansion) and monitor product performance., • Conduct competitive analysis, market research, and stay on top of trends in cybersecurity, third-party risk management, supply-chain tech, AI/analytics., • Collaborate with UX/design to deliver intuitive user flows, dashboards, and visualisations that make complex risk-data understandable and actionable for non‐technical users., • Liaise with marketing/sales to define product positioning, value propositions, launch campaigns and enable sales with product-led collateral and demos., • Work with customer‐success/solutions teams to capture feedback, iterate features, and drive product adoption and upsell., • Manage cross‐functional dependencies, ensure on‐time delivery of features and releases, and mitigate risks., • Evangelise the product internally and externally (e.g., customer calls, webinars, product demos). Required Qualifications & Skills: • Proven experience (typically 3-7 years) as a Product Manager (or Senior PM) in a SaaS environment., • Experience working on data-/analytics/AI-driven products (bonus if in cybersecurity, supply-chain risk, third-party intelligence or adjacent domains)., • Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams., • Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven features and clear user value., • Excellent stakeholder communication skills: able to engage with engineers, designers, data scientists, sales, and customers., • Analytical mindset: comfortable defining and using KPIs/metrics to drive decisions, and analysing data to inform prioritisation., • Strong user-centric mindset: able to engage with customers, gather insights, validate assumptions, and deliver products that solve real problems., • Good UX and visualisation appreciation: ability to work with design to create dashboards/reports that non-technical users can leverage., • Comfortable in a fast-moving, early/mid‐stage start-up environment; able to wear multiple hats, pivot when required, and drive results with limited resources., • Bachelor’s degree in business, engineering, computer science, or equivalent; advanced degree is a plus. Desired / Nice to Have: • Experience in cybersecurity, risk management, GRC (governance, risk & compliance) or supply-chain risk management., • Familiarity with third-party/ vendor risk management platforms and frameworks (e.g., NIST, ISO 27001, SOC2, supply-chain risk standards)., • Understanding of machine-learning/AI concepts (e.g., risk-scoring models, graph analytics, anomaly detection)., • Experience working with enterprise B2B customers, especially security teams, procurement/supply-chain teams., • Experience with visualising large-scale graph data sets or complex network interactions., • Experience launching SaaS modules, working with freemium to paid conversion, and driving monetisation strategies.

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. With over 35 million of active users globally, they’re redefining how people buy and sell second-hand fashion, aiming to make the future of style both circular and accessible. The company has offices in UK, EU and US and experienced significant growth especially around the US market and now operates as part of a leading global e-commerce group. They pride themselves on fostering inclusivity, creativity, and innovation and values that extend to both their community and their teams. The organisation champions diversity, equal opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance. The Role of Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our client is seeking an experienced Machine Learning Engineering Manager to lead the reccomendation team. This person will drive innovation in how users find and engage with products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 • Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning., • Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth., • Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation., • Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring)., • Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning., • Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: • 7+ years of experience in applied machine learning with a proven track record delivering production models at scale., • At least 2 years of leadership experience managing ML Scientists or Engineers., • Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms)., • Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow., • Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy., • Excellent communication and stakeholder management skills, with the ability to bridge complex ML concepts for diverse audiences., • Familiarity with AWS and Databricks., • Experience with search infrastructure (e.g., OpenSearch or Elasticsearch). What can they offer you? • Private health and mental wellbeing coverage, including access to counselling and coaching., • Salary of up to £140,000+Bonus & Benefits, • 25 days annual leave, plus additional company-wide rest days and volunteer leave., • Flexible hybrid working, with the option to work abroad for limited periods., • Generous parental, IVF, and carer leave policies., • Learning and development budgets for conferences, mentorship, and skills growth., • Pension matching, life insurance, and recognition for service milestones. If you are interested in the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 then drop over your CV and we will give you a call if we think you are a good fit!

Join a world-class team shaping the future of quantitative research and trading. Our client is seeking an academically exceptional Quantitative Developer to be part of their London build-out. This is a unique opportunity to apply cutting-edge engineering and quantitative skills in a highly collaborative environment. You'll work on delivering market data to trading systems, building integrated research and execution frameworks for high-performance predictors, and designing advanced simulation platforms in a cloud-native setting. Expect to partner closely with leading researchers, translating innovative ideas into production-quality code that drives real-world impact. Responsibilities: • Design, develop, and maintain core components of the trading system, • Champion best practices in software engineering across the team, • Build robust testing frameworks for all trading components, • Develop automated, fault-tolerant monitoring and tracking systems, • Proven experience as a Research Engineer, Software Engineer, or Quantitative Developer, • Strong programming expertise in Python and/or C++, • Exceptional academic credentials from a top-tier university, with notable achievements such as Dean's List or equivalent honors

As a GPU Software Engineer, you’ll be translating innovative research into high-performance, high-quality GPU compute solutions—playing a key role in delivering next-generation media technology to the market. Hybrid working, 3 days onsite and 2 days working from home. Key Skills & Qualifications: • Degree in Electronics Engineering, Computer Science, or a related field., • Proven experience in video processing or similarly performance-critical applications., • Hands-on experience with Vulkan or other modern GPU APIs., • Strong background in C/C++ development, both in building new systems and enhancing existing ones., • Translate high-level mathematical models and research into production-ready encoder implementations using C++ and GPU compute technologies., • Develop cross-platform solutions for operating systems including Windows, Linux, iOS, and Android., • Enhance, maintain, and expand existing codebases (C/C++/Python)., • Integrate third-party commercial and open-source software components., • Produce clear and well-structured technical documentation, including specifications, APIs, and integration guides., • Support external partners and customers in integrating SDKs., • Test and evaluate complex signal processing code to ensure performance and reliability in production releases., • Manage your own workload with accurate time estimates, effective task prioritisation, and a focus on high-quality design

We are seeking a PhD Computer Vision Scientist with deep expertise in object detection, tracking, or related visual perception tasks. You’ll join our world-class research team to design, implement, and optimize algorithms that advance the state of the art in dynamic scene understanding. This role is ideal for a researcher who has already made significant contributions to the field, for example, through publications at top-tier venues such as CVPR, ICCV, or ECCV and is eager to apply that experience in a fast-paced, applied R&D environment. Requirements • PhD in Computer Vision, Machine Learning, Robotics, or a related field., • Strong research background in object detection, tracking, segmentation, or visual understanding, VLM's, VLA's, • Proven record of publications in CVPR, ICCV, ECCV, or comparable conferences., • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow., • 1-3 years industry experience. What We Offer • Competitive salary and equity package., • Access to high-performance computing infrastructure., • Opportunities for publication, collaboration, and attending top-tier conferences., • A collaborative, research-driven environment with a focus on innovation and impact.

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more, and have raised over $3M from leading tech investors. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. You’ll work end to end on LLM-powered conversational agents and support the training, optimisation, and deployment of computer vision models that power real customer interactions. 🔧 What We Offer • Train, evaluate and deploy agentic AI systems and computer vision models for real-world use, • Collaborate with product and engineering to integrate ML systems into user-facing features, • Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines, • Stay up-to-date with the latest advancements in AI, conduct research, and explore innovative techniques, • Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions ✅ What We're Looking For Must-Haves: • 4+ years experience writing production ready code for machine learning systems, • 2+ years experience developing conversational AI, RAG, agentic systems or LLM-based products, • Familiarity with RAG orchestration frameworks such as LangChain or LlamaIndex.2+, • Experience with production optimisation for RAG systems, including latency, token cost control, context window constraints, monitoring and prompt versioning, • Strong Python skills and experience with PyTorch, TensorFlow or Keras, • Exposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AI, • Bachelor's degree in a technical field such as computer science or years of equivalent experience, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing, computer vision, or related field, • 2+ years experience training and optimising computer vision models, • Proficiency working with vector stores, data chunking, embeddings, retrieval, ranking and recommendation systems, • Experience with Django or similar Python web frameworks, • Familiarity with Docker and containerised development, • Exposure to CI/CD pipelines and infrastructure-as-code 🌱 What We Offer • Competitive compensation (based on experience and location), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for an Applied Scientist II to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data., • Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for the Senior Perception Engineer - Spatial Understanding & Navigation to join our team based in London, UK. What You'll Do • Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning., • Work on open-ended navigation powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments., • Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction., • Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness., • Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems., • Stay ahead of the field — rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For • Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures)., • Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data., • Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems., • Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot integration., • Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Private Health Insurance, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Graduate HVAC Research & Design Engineer Are you a recent engineering graduate with an interest in heat pump technology, sustainability, and innovative HVAC solutions? This is an exciting opportunity to kick-start your career with a growing HVAC manufacturer, where you’ll be supported, trained, and given a genuine pathway into senior engineering or management roles. In this role, you'll work at the intersection of product design and manufacturing, helping turn ideas into real-world, high-performance HVAC products. You’ll gain hands-on experience, collaborate with experienced engineers, and play a key part in developing the next generation of Air Source Heat Pump systems. What You’ll Be Doing • Assist in the design and development of Air Source Heat Pump systems and components, • Convert engineering concepts into manufacturable drawings and documentation, • Support production teams with technical queries and process improvements, • Take part in testing, validation, and prototype development, • Work with R&D, quality, and project engineering to deliver innovative, sustainable solutions, • Contribute to continuous improvement activities within design and manufacturing What We’re Looking For • A degree in Mechanical Engineering, Manufacturing Engineering, Building Services Engineering or a related discipline, • An interest in HVAC, refrigeration, renewable energy, or heat pump technology, • Familiarity with CAD software (SolidWorks preferred, training provided), • A proactive mindset with strong communication and problem-solving skills, • Enthusiasm to learn, grow, and take on increasing responsibility What’s on Offer • Total salary £30,000 - £40,000, • Base salary: £28,000–£35,000, • 10-20% yearly bonus, • 8% pension contribution, • 31 days holiday, • Full training and mentoring from experienced HVAC engineers, • Genuine long-term progression into roles such as:, • Design Engineer, • R&D Engineer, • Product Manager, • Production / Manufacturing Engineer, • Project Engineer Ready to begin your career? Apply today for an informal, confidential chat — we’d love to hear from you.

Join a dynamic Core Development team that designs and maintains cutting-edge trading platforms. You will be responsible for optimizing trading engines, developing custom hardware solutions, and leveraging software, hardware engineering, data science, and research to build critical tools and infrastructure. As a C++ Software Engineer, your role will involve designing, building, and testing systems that power the trading platform. Working closely with traders, researchers, and engineers, you'll tackle complex challenges in CPU architecture, OS, networking, and hardware. We're looking for problem solvers who thrive in fast-paced environments and have a passion for learning. Key Skills: • 2+ years of modern C++ development in Linux environments., • Strong knowledge of computer systems, including OS, networking, and performance tuning., • Experience with Object-Oriented design and multi-threaded programming.

C++ Developer - Strategy Implementation & Alpha Signal Engineering We are currently working with a leading global quant fund that's scaling its Strategy Implementation and Development Desk - a high-impact team operating at the intersection of quantitative research and real-time execution. They are seeking high-performance C++ developers to work on signal implementation, execution algorithms, and real-time alpha-capturing models. This is a speed-critical environment where your code directly impacts trading outcomes. Responsibilities: • Design and implement real-time trading strategies and execution algorithms in C++20, leveraging GCC 12., • Collaborate closely with quantitative researchers to translate models into production-ready code., • Optimise systems for ultra low latency, throughput, and determinism., • Monitor and improve live trading performance, identifying bottlenecks and tuning systems. Requirements: • Strong proficiency in modern C++ (C++17/20) with a deep understanding of performance optimisation., • Experience with GCC 12 or similar toolchains that support C++20 features., • Solid understanding of low-latency systems, multithreading, and memory management., • Background in real-time systems, high-frequency trading, or performance-critical applications. If this sounds interesting, please apply for more info

FOUNDING DATA ENGINEER REMOTE (OPTION TO RELLOCATE) £110K + EQUITY THE COMPANY This innovative AI start up is redefining safety and reliability in AI models. While competitors like GPT and DeepMind struggle with hallucinations and illegal content generation, this company adds safety control layers to ensure AI outputs are trustworthy and compliant. Working with high-profile, they’re building AI models that can even generate entire websites. As a Founding Data Engineer, you’ll be at the heart of their mission—building real-time data pipelines from scratch to power their cutting-edge AI research. THE ROLE As the Founding Data Engineer, you’ll design and implement real-time data pipelines that feed high-quality data to their AI research team. This isn’t about ETL maintenance or analytics. t’s about building scalable, high-throughput systems that handle millions of events per day. You’ll work autonomously, collaborate closely with the ML/AI team, and help shape the company’s data architecture as they expand. Specifically, you can expect to be involved in the following: • Technical tasks: Building real-time streaming pipelines using AWS (S3, PostgreSQL), with a focus on scalability and performance., • Other key responsibilities: Maintaining internal systems, choosing modern data tools, and ensuring seamless collaboration with the AI research team. SKILLS AND EXPERIENCE The successful Founding Data Engineer will have the following skills and experience: • Proven experience building data pipelines from scratch, with a focus on real-time streaming ingestion., • Strong SQL, data architecture, and storage design skills., • Experience with cloud environments (AWS preferred, GCP acceptable)., • Ability to choose and implement modern data tools independently., • Experience with high-throughput systems (millions of events/day is ideal)., • Strong collaboration skills with ML/AI teams—understanding their data needs is critical., • Autonomy, problem-solving, and excellent communication—this is a founding role. BENEFITS The successful Founding Data Engineer will receive the following benefits: • £110,000 salary + equity., • Relocation support to Paris (or future offices in London/ Netherlands)., • Quarterly in-person meetups in Paris (travel covered)., • The opportunity to shape the data infrastructure of a fast-growing AI startup, working with industry leaders. HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

Applied Research Scientist – 3D, PBR & Generative Models London preferred | Full-time | Visa sponsorship available The mission Help turn messy, real‑world photos into production‑ready, PBR‑accurate 3D assets using generative models. This is a small, graphics‑focused startup working with high‑end film, games and immersive studios, building tools that quietly sit behind some very pretty pixels. The role You’ll be the researcher driving the models that predict material properties and generate geometry from multi‑view image data. Your work won’t live in a PDF – it will ship into real artist workflows, fast, and help automate the jump from photos to textured, physically‑based assets. What you’ll do • Propose, implement and evaluate state‑of‑the‑art models for PBR material prediction and 3D asset creation., • Build on top of modern vision transformers and diffusion‑style architectures to extract maps like roughness, normals, specular and diffuse from images., • Design models that respect multi‑view consistency and can work from dense shots through to sparse or text‑conditioned inputs., • Run experiments, define baselines and track progress against product‑level quality bars, not just academic metrics., • Work closely with engineering teams to get your models into production tools and influence how a unique 3D/PBR dataset is collected and used. What you bring • PhD (or equivalent experience) in ML, computer vision, graphics or a closely related field., • Strong PyTorch skills and experience training models on large‑scale image or 3D data., • Track record in generative AI, material estimation, 3D‑aware learning or similar high‑impact research areas., • Comfortable taking ideas from sketch → prototype → evaluated model, quickly., • Bonus: photogrammetry, material/UV workflows, PBR and shading models, self‑supervised methods (e.g. CLIP‑style), 3D reconstruction, inverse rendering or texture synthesis. Why you might care • Work at the crossroads of 3D graphics, physically‑based rendering and generative AI, using rare, real‑world PBR capture data rather than synthetic assets., • Collaborate directly with artists, engineers and studios who will rely on your models to remove manual texturing from their workflows., • Competitive salary, equity, flexible hybrid setup in London.