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GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.

GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human centric AI. You can read about our real world impact here. We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the team Faculty conducts critical red teaming and builds evaluations for misuse capabilities in sensitive areas, such as CBRN, cybersecurity and international security, for several leading frontier model developers and national safety institutes; notably, our work has been featured in OpenAI's system card for o1. Our commitment also extends to conducting fundamental technical research on mitigation strategies, with our findings published in peer reviewed conferences and delivered to national security institutes. Complementing this, we design evaluations for model developers across broader safety relevant fields, including the societal impacts of increasingly capable frontier models, showcasing our expertise across the safety landscape. About the role The Principal Research Scientist for AI Safety will be the driving force behind Faculty's small, high agency research team, shaping the future of safe AI systems. You will lead the scientific research agenda for AI safety, focusing on large language models and other critical systems. This role involves leading researchers, driving external publications, and ensuring alignment with Faculty's commercial ambition to build trustworthy AI, giving you the opportunity to make a high impact contribution in a rapidly evolving, critical field. What you'll be doing: Leading the AI safety team's ambitious research agenda, setting priorities aligned with long term company goals. Conducting and overseeing cutting edge AI safety research, specifically for large language models and safety critical AI systems. Publishing high impact research findings in leading academic conferences and journals. Shaping the research agenda by identifying impactful opportunities and balancing scientific and practical priorities. Helping to build and mentor a growing team of researchers, fostering an innovative and collaborative culture. Collaborating on delivery of evaluations and red teaming projects in high risk domains like CBRN and cybersecurity. Position Faculty as a thought leader in AI safety through research and strategic stakeholder engagement. Who we're looking for: You have a proven track record of high impact AI research, demonstrated through top tier academic publications or equivalent experience. You possess deep domain knowledge in language models and the evolving field of AI safety. You exhibit strong research judgment and extensive experience in AI safety, including generating and executing novel research directions. You have the ability to conduct and oversee complex technical research projects, with advanced programming skills (Python, standard data science stack) to review team work. You bring excellent verbal and written communication skills, capable of sharing complex ideas with diverse audiences. You have a deep understanding of the AI safety research landscape and the ability to build connections to secure resources for impactful work. Our Interview Process Talent Team Screen (30 mins) Experience & Theory interview (45 mins) Research presentation and coding interview (75 mins) Leadership and Principles interview (60 mins) Final stage with our CEO (45 mins) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working (2 days in our Old Street office, London) If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - Please know we are open to conversations about part time roles or condensed hours.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis, machine learning and deep learning skills, using the results of their research to make forecasts and develop profitable predictive trading models. What You'll Do We are seeking research scientists with a demonstrated ability to apply deep learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition. Other duties as assigned or needed. Skills You'll Need At least 5+ years of experience in developing DL systems with measurable impact in industry and/or academia. Creative thinkers who are driven, self-motivated, and eager to solve challenging problems. Proficiency in Python and/or C++. Strong foundation in mathematics and statistics. Ability to thrive in a collaborative, team-oriented environment. PhD, or Master's degree in Computer Science, Mathematics, (or related subject). Strong publications record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent. Reliable and predictable availability. Excellent written and verbal communication skills in English. Benefits Discretionary bonus eligibility Medical, dental, and vision insurance HSA, FSA, and Dependent Care options Employer Paid Group Term Life and AD&D Insurance Voluntary Life & AD&D insurance Paid vacation plus paid holidays Retirement plan with employer match Paid parental leave Wellness Programs Annual Base Salary Range $200,000 - $350,000 USD

Zulu Ecosystems' mission is to regenerate natural ecosystems responsibly so that the planet and its communities can thrive. We combine proprietary technology and domain expertise with on the ground relationships to mobilise landowners, investors, government bodies, and communities around large scale nature restoration programmes. Doing the right thing for nature and people is at the heart of our work, and we apply peer reviewed and novel scientific methods to scope, plan and support delivery of on the ground regeneration projects. We use high quality science to maximise the benefits across carbon sequestration, biodiversity uplift, nature based climate risk solutions and positive outcomes for communities. We have already delivered projects in woodland creation and peatland restoration, and are expanding our capabilities to include wetlands, grasslands, and other habitats. WHAT WE STAND FOR Nature: Nature is at the heart of everything we do. It grounds our decisions, reminds us of the interconnected systems we're part of, and inspires us to design with care, responsibility, and with long term thinking. Innovation: Innovation drives our curiosity, courage, and our ambition. We experiment with science and technology to support us in challenging convention. For us, innovation isn't about being novel - it's about creating meaningful progress now for a better tomorrow. Trust: Trust is the foundation of Zulu Ecosystems. We build it through internal engagement with our teams and externally with our clients. People can rely on us to do the right thing, every time. When trust is strong, everything else becomes possible. Your mission We're seeking a versatile and outcome focused researcher with expertise in sciences relating to water supply management, flooding, hydrology or hydraulic modelling to develop novel and scalable nature based solutions approaches for grand challenges in the water space. In this role you will combine the best in academic research with industry tech to develop novel models and methods to improve water outcomes by restoring ecosystems. Your models and insights will inform real world landscape regeneration projects, help improve outcomes for biodiversity, and help address the impacts of climate change. Working closely with a multi disciplinary team of scientists and field practitioners, your work will have a real positive impact on people and the planet. Responsibilities Apply remote sensing data, in situ data, and hydrological and hydraulic models to understand water dynamics at the catchment and sub catchment scale. Co design landscape interventions to reduce flood risk and mitigate drought, and build new habitats in collaboration with your science team colleagues and our team of field experts. Gather ground truth data to validate desk based model analytics. Develop partnerships and collaborations with academic research groups, water companies, and other businesses in the field of water science. Contribute to improving internal models and research on nature restoration. Apply your geospatial knowledge and skills to solving other landscape level scientific challenges. Mentor junior science staff and regularly supervise interns. Your profile Requirements: A passion for making a positive impact on the planet and solving grand environmental challenges. A PhD, or equivalent level of experience, in a discipline related to hydraulic modelling, hydrology, water science, physics, remote sensing, engineering or other similar fields. Experience working in Python. Knowledge of processing techniques and manipulation of GIS datasets: proficiency in GIS mapping data and software, and experience in geospatial data analysis. Experience using relevant geospatial data types, such as LiDAR and land cover. Proactive, methodical, and data driven approach to problem solving. Enthusiasm for working collaboratively with teams comprising different scientific and non technical backgrounds. The ability to communicate complex technical topics effectively to a non technical audience. Nice to haves Experience or expertise in hydraulic or hydrological models, hydrogeology or groundwater, or nature based solutions relating to these. Experience with AWS (e.g., S3, Lambda, etc.) and large geospatial datasets (e.g., using cloud optimised format, manipulating high resolution spatial data, etc.). Experience or expertise in natural capital assessment.

Spotify has more than 600M listeners in more than 180 markets around the world, who use our music, podcast, and audiobook services to find what delights, entertains, educates, and informs them. Personalization is a high impact organization that provides the technology to serve them what they expect to find, to help them explore and find new things to enjoy, and to suggest things they might not be aware of that they would like. We are looking for a Research Scientist with a machine learning background to help us improve personalization experiences. You will join a team of researchers whose focus is on enhancing the Spotify experience by researching, developing, and integrating state-of-the-art generative AI technologies into our search and recommender systems, and unlock new interactive experiences. You will be part of an interdisciplinary team focusing on ensuring that the foundations of Spotify technologies are at or above the state of the art and, in the process, redefine the state of the art for the field and contributing to the wider research community by publishing papers. Our team has strong ties internally to product groups as well as externally to the research community. Areas of expertise Information Retrieval, Recommendation System, Language Technologies, Foundational Models, Generative AI Technologies, and Machine Learning What You'll Do Participate in groundbreaking research in artificial intelligence with a focus on large-scale generative applications to search and recommendation systems Apply your scientific knowledge to analyze and collect data, identify problems, construct methodologies, including metrics and standard processes, conduct experiments, and devise scalable solutions through hands on prototyping and development Work on practical applications such as search, recommendation, language understanding in the music and talk audio domains Collaborate with other scientists, engineers, product managers, designers, and data analysts across Spotify to design and develop innovative solutions to challenging problems Impact Spotify products, while working on and iterating further a long-term research roadmap Maintain a research profile through external engagement by publishing scientific papers, coordinating workshops, giving talks, and being an active community member at top conferences Who You Are You have a PhD in either information retrieval, intelligent systems, machine learning, computer science, or related areas You have expertise in domains such as language technologies, generative AI technologies, information retrieval, and recommender systems You have peer reviewed publications at journals or conferences such as RecSys, TheWebConf, WSDM, SIGIR, EMNLP, ACL, COLM, ICML, ICLR, NeurIPS, or related You have solid hands on skills in sourcing, cleaning, manipulating, analyzing, visualizing, and modeling of large scale real data You are passionate about making sense of user behavior, music content, and talk audio content using best available methods You are a creative problem solver who is passionate about digging into complex problems and devising new approaches to reach results Where You'll Be This role is based in London or Stockholm We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.

Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. About the team: Expedia Group Advertising is redefining how travel brands connect with global audiences. Our Publishing Team owns the end to end delivery of display and travel ads across Expedia's white label and partner platforms. We're building the next generation of video ad infrastructure, AI powered tooling, and Rapid API integrations to deliver smarter, more engaging ad experiences. In this role, you will: Design, implement, and evolve high quality software services and components, including system design, low level design, API design, and data modeling to support scalable, reliable products. Lead end to end delivery of complex technical features across services or domains, including requirements clarification, solution design, development, testing, deployment, and ongoing operational support. Collaborate closely with product, architecture, and cross functional engineering teams to define technical direction, align on standards, and ensure solutions meet business and customer needs. Improve the reliability, performance, security, and observability of services through robust engineering practices, including code reviews, automated testing, CI/CD, and production monitoring. Mentor and support other engineers through technical guidance, design reviews, and knowledge sharing, helping to raise the overall technical bar across the team and adjacent teams. Safely integrate and operate AI/ML enabled solutions that improve outcomes, including familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products in alignment with Expedia Group standards. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Professional software engineering experience that includes ownership of significant services or components within a multi service or domain environment. Proven proficiency in designing and building backend or full stack systems, including RESTful or similar APIs, data models, and integration patterns using industry standard languages, frameworks, and tooling. Experience applying sound software engineering practices such as object oriented or functional design, automated testing, code review, source control, and continuous integration/continuous delivery for production systems. Hands on experience supporting services in production, including monitoring, troubleshooting, and resolving issues to maintain availability and performance, with familiarity using or integrating AI driven tools in development or operations workflows. Preferred Qualifications: Experience designing and evolving distributed, high traffic or large scale systems, including making architectural tradeoffs related to performance, reliability, and cost within a service or domain. Demonstrated leadership in driving technical design for complex initiatives, such as defining APIs, data contracts, and low level designs that are extensible and maintainable across multiple services or teams. Strong focus on operational excellence, including building observability, resiliency patterns, and automation into services, and using data and metrics to guide technical decisions and continuous improvement. Familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating and operating AI/ML enabled solutions that improve customer or business outcomes. Experience serving as a technical mentor or lead for projects, enabling cross team collaboration, guiding implementation quality, and contributing to or influencing engineering standards and best practices. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Why Harvey At Harvey, we're transforming how legal and professional services operate - not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 58+ countries, strong product-market fit, and world-class investor support, we're scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth - personal, professional, and financial - is unmatched. Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle - from early thinking to long-term outcomes. We stay close to our customers - from leadership to engineers - and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us. At Harvey, the future of professional services is being written today - and we're just getting started. Role Overview As Office Manager, you own the day-to-day workplace experience in our London office-keeping operations running smoothly while driving initiatives that elevate our environment, optimize costs, and scale our workplace infrastructure as Harvey grows. You'll also serve as the operational point person for our other EMEA offices (smaller, flexible workspaces), coordinating logistics and ensuring a consistent, high-quality experience across the region. This is a fully in-office role based in London, with an expectation of on-site presence Monday through Friday, 9:00am-5:00pm to support the daily workplace experience. What You'll Do Workplace Operations Own the end-to-end workplace and guest experience for the London office, setting and maintaining standards for safety, functionality, and employee satisfaction Serve as the regional coordination point for Harvey's other EMEA offices-managing visitor and guest logistics, badge access, suite transitions, and vendor needs as these locations scale Manage vendor relationships: selection, procurement, performance management Proactively identify operational improvements and lead implementation; maintain office systems, SOPs, and documentation to support a growing team Manage daily office logistics (mail, access badges, seating, supplies) Coordinate with building management and coworking providers on maintenance, security, and facility needs across locations Develop and manage the office operating budget; track spend, identify savings, and make data-informed recommendations Onboarding & Culture Create a warm, inclusive office environment that reflects Harvey's values and culture Own the local workplace onboarding experience (office tours, swag, event planning) and partner with People Ops to continuously improve it based on new hire feedback Partner with the People team to bring culture initiatives to life in the London office Coordinate logistics for team offsites, all-hands meetings, and visiting employees from other offices Partner with recruiting and executive teams on high-touch candidate and client visits Manage office-related communications and announcements Cross-Functional Partnership Lead or contribute to workplace-related projects (office moves, buildouts, policy rollouts) across London and EMEA locations Partner with IT, Security, People Ops, and Finance on initiatives that span functions What You Have 2-5 years of experience in office management, workplace operations, or a similar role, ideally at a fast-growing tech or startup company A genuine passion for creating great workplace experiences and making people feel welcome A proactive, solutions-oriented mindset-you see what needs to be done and take initiative without being asked Strong organizational skills and the ability to juggle multiple priorities with attention to detail Excellent interpersonal and communication skills; you're someone people naturally trust and go to for help Experience managing vendor relationships and coordinating across multiple locations or sites Comfort working in a fast-paced environment where priorities can shift quickly Please find our applicant privacy notice here. Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing

# About the Business Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation. Quilter oversees £126.3 billion in customer investments (as of August 2025). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments: Affluent and High Net Worth. Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business. High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning - offering a highly personalised service to private clients, charities, trustees, and professional partners. Quilter Cheviot has presence throughout the UK, Ireland and Channel Islands. At Quilter we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve, including our colleagues. Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it's the perfect time to join us!# About the Role Level: 4Department: COOLocation: Southampton or LondonContract type: PermanentThe new role sits within AI Centre of Excellence department under Chief Operating Office (COO).The key accountabilities for the role are as follows: AI/ML Solution Delivery: Hands on end-to-end development and deployment of both traditional and GenAI-based machine learning models, including discovery analytics, experimental design, model development, benchmarking, enhancement and deployment. LLM & RAG Integration: Design and implement new Retrieval-Augmented Generation (RAG) pipelines and enhance existing frameworks, applying advanced techniques in data chunking/splitting, vectorization, knowledge graph representation (GraphRAG), and query retrieval and evaluation. Model Evaluation & Prompt Engineering: Design and execute experiments to benchmark and evaluate model performance using both classical metrics (precision, recall, F-score) and GenAI-specific techniques (LLM-as-a-Judge, ROUGE, BERTScore). Develop and refine prompts to optimise GenAI model reasoning, accuracy, and overall effectiveness. Cross-Functional Collaboration: Work closely with business partners, stakeholders, and technical teams (data engineering, platform engineering) to translate business requirements into impactful AI solutions. Research & Innovation: Stay abreast of emerging tools, techniques, and best practices in LLMs, RAG, GenAI, model development & evaluation techniques and proactively apply new knowledge to drive innovation.# About You Qualifications Advanced degree (MSc or PhD) in Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field. Proven track record of delivering AI solutions from research to production in real-world applications. Knowledge Strong foundation in machine learning algorithms and deep learning concepts including Neural Networks and Transformer-based architectures. Knowledge in developing and deploying scalable models on Databricks, Azure, and AWS, leveraging tools such as FastAPI and Docker. Proficient in model tracing and observability for LLM in production and implementing evaluation frameworks for model quality and reliability. Strong understanding of software engineering best practices, including version control, testing, and CI/CD for production-ready AI systems. Domain expertise in financial services or other regulated industries is highly desirable. Experience Strong experience in AI/ML research and development, specializing in deep learning-based NLP, Information Retrieval, and Generative AI. Proven expertise in RAG/GraphRAG pipeline development and evaluation, including advanced retriever-reranker techniques. Experience in building knowledge bases and ontologies is highly desirable. Extensive experience in defining and implementing evaluation metrics for GenAI systems such as Recall, Precision, NDCG, LLM-as-a-Judge, BERTScore, BLEU score, and hallucination detection. Provide mentorship and technical guidance to junior AI Scientists Skills Strong proficiency in Python and experience with frameworks such as NumPy, Pandas, Scikit-learn, and modern Generative AI libraries (e.g., LangChain, LlamaIndex, Azure AI Foundry). Hands-on experience with PyTorch, and leading LLM libraries such as Hugging Face, LangChain, LangGraph, and LlamaIndex. Skilled in hypothesis formulation, defining evaluation metrics, conducting literature reviews, and building reproducible prototypes with critical outcome analysis. Rapid Experimentation Mindset: Comfortable with a fail-fast, learn-fast approach, iterating quickly to validate ideas and accelerate innovation. Exceptional problem-solving skills and a strong passion for innovation. Excellent communication and collaboration abilities, thriving in cross-functional environments. Inclusion & Diversity We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience, and potential. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing environment where every colleague can thrive. Values Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and the support we provide our communities. Always curious: We continuously seek new ideas and knowledge so we're one step ahead of our clients' needs. We look for inspiration everywhere and encourage experimentation, recognising that this is how we create brilliant solutions for brighter futures. Embrace challenge: We aim high to transform our potential into meaningful outcomes. With ambition as our driving force and a steadfast commitment to growth, we succeed for the good of every generation. Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone. We speak openly, actively listen, and support each other, and constructively challenge and embrace new ideas. We seek empowerment and demonstrate ownership and trust, with the confidence to make impactful decisions. Core Benefits Holiday: 182 hours (26 days) Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution. Pension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions. Private Medical Insurance: Single cover as standard with options to increase cover to include your partner or children. Life Assurance: 4x your salary. Income Protection: 75% of salary, less state benefits, payable after 26 weeks of absence. Healthcare Cash Plan: Jersey employees only In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction. We create brighter financial futures for every generation.We do this by guiding our customers and their families through the complexity of planning for their financial future, responding to their rapidly evolving needs and giving them peace of mind. And, with all that's happening in the world today, our

About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric Inspiring dedication Persevering Growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary Research and develop AI-driven systems for autonomous materials discovery, with focus on crystal structure prediction and property optimization. Design hybrid world models combining symbolic physics simulators with neural surrogates, and implement LLM-guided search algorithms coordinated through reinforcement learning and Bayesian optimization frameworks targeting accelerated discovery of superconductors, catalysts, and functional materials. Bridge the sim-to-real gap by integrating computational chemistry tools (DFT, molecular dynamics) with autonomous laboratory feedback loops for closed-loop experimentation and model refinement. Key Responsibilities: Conduct original research at the intersection of materials science and machine learning, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML, Nature Materials, JACS, Physical Review). Design and implement algorithms for materials discovery using reinforcement learning, Bayesian optimization, and LLM-guided search. Develop and validate world models for materials systems, including hybrid symbolic-neural simulators and surrogate models for expensive quantum mechanical calculations. Collaborate with domain experts to translate materials science problems into computational frameworks and validate results against experimental data. Actively engage with both the ML and materials research communities through publications, open-source contributions, and cross-disciplinary collaboration. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required: Master's or PhD (or currently pursuing) in Materials Science, Computational Chemistry, Chemical Physics, or related field, with demonstrated exposure to machine learning applications. Strong foundation in crystallography, solid-state chemistry, or computational materials science (DFT, molecular dynamics, structure-property relationships). Familiarity with at least one of the following ML areas: Reinforcement learning, Bayesian optimization, world models, or LLM applications. Proficiency in Python and experience with scientific computing libraries and at least one ML framework (PyTorch, JAX, or TensorFlow). Ability to work in a fast-paced, research-oriented environment bridging materials science and AI. Passion for applying AI to accelerate scientific discovery in the physical sciences. Desired: Publications in materials science, chemistry, or physics journals (e.g., Nature Materials, Advanced Materials, JACS, Physical Review) or at ML/AI conferences. Hands-on experience with computational chemistry tools. Experience with materials databases and high-throughput computational screening. Familiarity with graph neural networks for materials or surrogate modeling techniques. Knowledge of autonomous laboratories, robotic experimentation, or closed-loop optimization in physical sciences. Active GitHub portfolio showcasing materials informatics or AI-for-science projects. Understanding of structure prediction methods (genetic algorithms, particle swarm, basin hopping) and their limitations.

Interested in training and evaluating large-scale LLMs (>200B) in a frontier research team focused on AI impact in high-stakes domains? Thomson Reuters Foundational Research gives you the opportunity to research & publish on a wide range of topics in AI research while gaining experience working at in a data- & compute-rich environment focused on solving real world economically impactful problems. You will join a collaborative team that values intellectual curiosity, innovative thinking, and combines the strengths of industrial resources with an academic mindset focused on advancing science. About the Role We are seeking PhD Research Scientist Interns with flexible starting dates throughout the year in our London, Toronto & Zug locations. During your internship, you will focus on publishing high-quality research in top venues for Machine Learning & NLP while advancing our internal model development. We also value our deep academic connections, are open to involving academic advisors & collaborators. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for interns who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Algorithms & Infrastructure, Alignment, Distributed Training, ) Post training techniques for planning & reasoning (e.g. Agentic pipelines & tool use, LLMs & Knowledge Graphs, Self reflection & critique, CoT & Reasoning, RAG, ) Data centric Machine Learning (Synthetic & Hybrid Data generation, Curriculum Learning, learned data mixtures, ) Evaluation (Benchmark design, Red teaming/Adversarial Testing, Hallucination detection & Factuality, Human in the loop testing, ) We work collaboratively with academic partners at world leading research institutions (such as our joint academic lab with Imperial College London) and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state of the art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing, and evaluation of trained models. As a Research Scientist Intern, you will work alongside and learn from a diverse global team of experts. We hire world leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters is known for consistently delivering successful data driven ML solutions in pursuit of academic excellence and support of high growth products that serve Thomson Reuters customers in new and exciting ways. The internship duration at Thomson Reuters Labs is typically 4 to 6 months and may be aligned with one or two academic semesters or depending upon your availability. Responsibilities Innovate: You will have the opportunity to innovate and create new state of the art ML/NLP/IR/GenAI approaches at the cutting edge of AI research. You will work closely with a Research Scientist to contribute ideas and work on solving real world challenges using a wealth of data. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of researchers & engineers both within Thomson Reuters and our academic partners at world leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About You You're a fit for the role if your background includes: PhD student or recent graduate with research experience in a relevant discipline. Publications in top tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR). Familiarity with a deep learning framework (e.g. PyTorch, JAX, TensorFlow, ) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well founded algorithmic solutions to relevant problems. Preferred Qualifications Experience working on at least one relevant state of the art research topic (see our focus areas) in large language models (LLMs). Influential first author publications top tier venues. Impactful open source contributions. Strong software and/or infrastructure engineering skills with supporting evidence. Experience training large scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. Benefits Learning and development: On the job coaching, mentorship and learning from a world leading researcher as well as the opportunity to work with cutting edge methods and technologies. Plenty of data, compute, and high impact problems: Our interns get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TB of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation: The opportunity to earn while learning new skills. Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real world solutions. Our Grow My Way programming and skills first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award winning reputation for inclusion and belonging, flexibility, work life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. Equal Employment Opportunity As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented . click apply for full job details

Energy Trading - Principal Software Engineer London About Indicium AI Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview Indicium AI are seeking an exceptional Principal Software Engineer to lead delivery of exciting engagements within our Energy & Commodities Trading sector. This role demands a unique combination of hands on technical excellence and deep domain expertise in trading environments. You will architect and implement critical solutions that power real time trading decisions, while mentoring teams and driving client relationships at the highest level. You will go toe to toe with senior engineering stakeholders in fast paced trading environments, influencing architecture, operating models, and data strategy. Key Responsibilities: Technical Leadership Architect and deploy complex, distributed systems, with high performance data architectures, real time streaming, APIs, etc and drive technical decision making across complex, multi system trading environments Lead the development of near real time and intraday solutions pipelines supporting trading operations across multiple asset classes Architect solutions which are able to integrate market data feeds, position management systems, market fundamentals, P&L Risk and Back Office solutions. Establish software engineering best practices and coding standards for trading applications, upskilling more junior members of our delivery teams Partner with client CTOs, Heads of Data, and Engineering Leads to align technical delivery with trading objectives and roadmaps and design and implement scalable AI and data solutions for leading trading organisations. Lead Front, Middle or Back Office transformation projects through to production delivery Act as the point of contact for all technical matters related to our engagements, owning the relationship with our client stakeholders alongside our Client Director Support industry thought leadership and Indicium AI's GTM proposition based on your experience of the sector and our work to date Navigate the nuances of physical and financial trading flows, data latency constraints, reliability and regulatory obligations Technical Expertise This is a hands on role requiring deep technical execution alongside strategic leadership. The ideal candidate brings proven expertise across the following areas: Data Engineering: Proven experience with streaming platforms (e.g. Kafka), real time processing frameworks and modern data stack tools Architecture: Demonstrated ability to design low latency, high throughput data systems with microsecond level performance requirements Cloud Platforms: Hands on experience with AWS and or Azure, including managed services for data processing and storage Databases: Deep knowledge of both transactional (PostgreSQL, SQL Server) and analytical databases (ClickHouse, MongoDB, etc.), with particular emphasis on time series data. Additional experience that would be useful but not required includes Kubernetes, pricing & risk engines, working with quants, emerging technologies like AI in trading, AI engineering Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget

We think this is a rare opportunity to be part of Spotify's groundbreaking journey as we evolve from an audio-first platform to also become a world-class video service. From offline playback to adaptive streaming with optimized video quality, you will be part of a team that defines how video will be consumed by hundreds of millions Spotify users. Our next challenge is to move more of our pre-render video pipeline, things like decoding, timing, synchronization and adaptive streaming from higher-level native integrations down into a performant, portable C++ stack. By driving this space alongside our existing players, you will shape the APIs, abstractions, and optimizations that make video on Spotify seamless everywhere: across iOS, Android, desktop, and beyond. We think you have many years of solid hands-on experience with video in code, from transcoding, streaming, demuxing, to adaptive bitrate selection and presentation of frames and audio samples. With that type of background this is a very good opportunity to expand your impact to help us at Spotify drive innovation in a space that's becoming increasingly vital to our growth. Joining us now will enable you to greatly influence our journey and make a lasting impact for the years to come. You will be joining an environment with a lot of collaboration, innovation and cross-functional teams that deliver seamless, high-quality video experiences. Your role is to provide the right APIs and implementations to allow all of those teams to serve a first class video experience every time. If you are ready to make an impact and push the boundaries of video technology, we would like to get in touch! What You'll Do Be part of a dynamic team focusing on creating a world-class mobile video experience, optimized for low-bandwidth environments and seamless on-the-go usage. At Spotify, we champion the perfect blend of strategy, creativity, and hands-on coding to drive innovation and deliver exceptional user experiences. Being a technical leader means that you are actively coding (in C++ with Swift and/or Kotlin), writing easy to understand documents and presenting for larger groups and key leaders. Debug complex performance issues across operating systems, device types, and networks. Optimise Spotify's AV stack by driving pre-render logic from platform-specific frameworks like AVFoundation into a cross-platform core to reduce duplication and increase consistency and device reach. Design and implement low-level C++ video components that handle decoding, synchronization, and adaptive playback with minimal overhead. Share expertise in low-level video systems, raising the bar across Spotify engineering. Who You Are A seasoned professional with a proven track record in senior roles, bringing a wealth of expertise and leadership to the table. Passionate about coding and hands-on problem-solving, while actively shaping and driving key strategic decisions. Strong understanding of decoding, synchronization, adaptive bitrate streaming, and frame-level control. Over 8 years of deep, hands-on experience in the video playback domain. Experience with platform-level frameworks like VideoToolbox, MediaCodec, or AVFoundation internals and motivated to generalize that work into reusable C++ systems. A deep understanding of video streaming technologies, with expertise in delivery protocols and the nuances of modern streaming ecosystems. Passionate about building foundations that empower Spotify teams to scale video to hundreds of millions of users. Where You'll Be We are a distributed workforce enabling our band members to find a work mode that is best for them! Where in the world? For this role, it can be within the EMEA region in which we have a work location and is within working hours. Working hours? We operate within the Central European and GMT time zones for collaboration and ask that all be located in that time zone. Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.