Senior AI Researcher at Moneybox | London

About MoneyboxAt Moneybox, we strive to empower individuals to enrich their lives. We believe that wealth is not merely about money but rather about having the resources for more—more freedom, opportunities, and peace of mind. As an award-winning wealth management platform, we assist over 1.5 million users in building their financial futures through saving, investing, purchasing homes, and planning for retirement.Job OverviewWe are developing Aurora, an innovative AI system aimed at guiding customers to achieve optimal financial outcomes. This role presents a significant technical challenge: how to effectively provide reliable guidance to customers who may have incomplete or uncertain information regarding their financial situations and goals, all while navigating a regulated environment where decisions must be auditable and traceable.Key challenges include efficiently addressing uncertainties in customer data through active information gathering, formulating questions at the right times without overwhelming users, and translating natural language policies and regulations into formal optimization logic that is both accurate and inspectable.Additionally, you will need to integrate learned and symbolic components to ensure that the overall system operates reliably, degrades gracefully, and remains comprehensible to human users, all without incurring excessive engineering costs on the specialized elements of the system.We hold strong hypotheses and established architectural plans for these challenges, yet we remain open to revising our approaches when presented with compelling arguments or new evidence. If you have insights that could improve our strategies, we welcome your input.Our models primarily operate internally. Our development process utilizes Databricks on Azure, with deployments conducted via Databricks or directly on Azure Kubernetes Service (AKS).This role represents the pinnacle of research within our ML team. You will report directly to the Director of AI and Decision Intelligence and collaborate with a principal data scientist, senior ML engineer, senior data scientist, and two ML engineers.

About MoneyboxMoneybox is an award-winning financial app designed to help you transform your financial journey. We seamlessly integrate saving, investing, home-buying, and retirement planning into one user-friendly platform, empowering you to achieve your financial aspirations and build wealth, regardless of your starting point.Job OverviewJoin our Data and Insights team, where we cover a diverse range of functions including analytics engineering, reporting, insightful analysis, decision-making, data science, and machine learning. Our mission is to provide comprehensive understanding of customer behaviors, app interactions, product utilization, and priorities. This crucial role ensures that Moneybox is well-equipped to fulfill its vision of empowering customers in their financial journeys.

The Core team is responsible for creating foundational experiences that span onboarding, daily investing, and long-term wealth accumulation. Our aim is to make these experiences straightforward, trustworthy, and intuitive, even when the financial products involved are intricate. We are seeking a Senior Product Designer to spearhead impactful enhancements across these vital experiences within a dynamic and ownership-driven product landscape. You will address significant, ambiguous challenges swiftly and develop solutions that foster clarity, instill confidence, and promote sustained engagement. Your focus will be on achieving impactful outcomes, not just executing tasks.

Join Moneybox, a leading fintech company in London, as a Web Developer. In this pivotal role, you will collaborate with our development team to build and maintain innovative web applications that enhance user experience and drive engagement. You will have the opportunity to work with cutting-edge technologies and contribute to exciting projects that shape the future of finance.

About Moneybox Moneybox helps people reach their goals by making wealth management accessible and meaningful. The platform supports over 1.5 million users as they save for homes, invest, and plan for retirement. Moneybox’s approach goes beyond finances, focusing on the freedom, opportunities, and peace of mind that come with building wealth. Role Overview The Customer Strategy team shapes in-product messaging and experiences that drive user engagement and highlight the value of Moneybox’s services. The team seeks a Product Designer with strong visual design skills to lead improvements across important user journeys. This role tackles commercially significant challenges, delivering solutions that boost clarity, conversion, and ongoing engagement. The Product Designer will take responsibility for both the execution and the impact of their work. This position reports to the Design Lead, UI and Systems. Location London Office

Moneybox is expanding its Product Technical team and seeks a Junior Product Technical Analyst for the London office. This position provides direct exposure to investment and tax-wrapped products, with a strong focus on regulatory compliance involving HM Revenue and Customs, the FCA, and at times the IRS. It is well suited to someone interested in financial compliance and the intersection of technology with regulated products. Key responsibilities Assist with regulatory reporting and prepare returns required by UK and international authorities. Address complex customer queries, including complaints and issues such as interest miscalculations or investment discrepancies. Support audits and interpret compliance guidelines to help Moneybox meet its obligations. Lead or contribute to process improvements and represent Moneybox in industry forums or discussions. Work collaboratively with teams across the company and with external partners to resolve issues and implement changes. Document and explain technical processes clearly and accurately. Contribute to projects that explore how AI can improve team workflows. Requirements Interest in understanding how systems and processes function, particularly in a regulated financial context. Strong problem-solving skills and an analytical, detail-oriented approach. Ability to quickly absorb new information and apply it effectively. Comfort working independently and taking responsibility for assigned tasks. Confidence when engaging with colleagues and stakeholders at all levels. Clear communication skills, with the ability to document and articulate processes well. Location This position is based at the Moneybox office in London.

Established in 2018, Causaly is at the forefront of transforming enterprise-level scientific research through its innovative AI platform. Our technology empowers researchers to efficiently discover, visualize, and interpret extensive biomedical knowledge while automating essential research workflows, thereby hastening the development of solutions for critical health challenges.We collaborate with some of the largest biopharma companies and prestigious institutions, addressing diverse use cases that encompass Drug Discovery, Safety, and Competitive Intelligence. To learn more about how we enhance knowledge acquisition and decision-making processes, visit our blog: Blog - Causaly.We are proudly supported by renowned venture capital firms including ICONIQ, Index Ventures, Pentech, and Marathon.About the TeamWe are seeking talented AI Engineers to join our mission of revolutionizing research outcomes in biomedical sciences. Our team leverages generative AI and intelligent agents to assist scientists in uncovering novel insights and connections from biomedical literature and datasets.Enhancing the research experience is more than just adopting the latest LLM model; it requires building trust with our users through the integration of effective guardrails, rigorous biomedical curation, consistent update cycles, and robust deployment practices. This approach ensures that our platform serves as a comprehensive resource for researchers.We are in search of AI Engineers who are passionate about applying AI to transform how biomedical professionals conduct their research and daily inquiries.Your Responsibilities· Design and implement end-to-end ML/AI solutions, from conceptualization and data exploration to deployment and monitoring, striking a balance between cutting-edge techniques and practical application to deliver tangible results.· Employ strong software engineering principles such as modularity, testing, code reviews, CI/CD, and observability to ensure AI systems are dependable, maintainable, production-ready, and adaptable to future advancements.· Evaluate various approaches including classical ML, NLP techniques, LLM-based solutions, and agentic solutions to determine the best fit for the problem at hand, considering trade-offs related to speed, cost, complexity, interpretability, and performance.· Collaborate closely with product, design, and engineering teams to define project scope, align on success metrics, and iteratively enhance user-facing features powered by AI.

Why Join Faculty?Founded in 2014, Faculty is at the forefront of artificial intelligence, believing it to be the most transformative technology of our era. Over the years, we have partnered with more than 350 clients globally, enhancing their performance through human-centered AI solutions. Our tangible impact can be explored here.We prioritize genuine innovation over fleeting trends. Our commitment lies in developing and implementing responsible AI that significantly influences outcomes. Our diverse clientele includes sectors such as government, finance, retail, energy, life sciences, and defense, all of whom benefit from our profound expertise in technology, product development, and delivery.Our rapidly expanding business and reputation drive us to seek individuals who share our passion for intellectual exploration and aspire to create a positive technological legacy.AI is a groundbreaking technology; at Faculty, you will have the freedom to conceive its most impactful applications and bring them to fruition.About Our TeamThe Research team at Faculty is dedicated to critical red teaming and developing evaluations for misuse capabilities in sensitive domains, including CBRN, cybersecurity, and international security. We collaborate with leading frontier model developers and national safety institutes, and our contributions have been recognized in OpenAI's system card for o1.We also engage in fundamental technical research focused on mitigation strategies, with our findings presented at peer-reviewed conferences and shared with national security organizations. Additionally, we create evaluations for model developers across various safety-related areas, highlighting our comprehensive expertise in the safety domain.Role OverviewWe are in search of a Senior Research Scientist to join our high-impact R&D team. You will spearhead innovative research that enhances scientific understanding and drives our goal of developing safe AI systems. This is a vital role within a small, empowered team that conducts essential red teaming and evaluations for frontier models in sensitive fields such as cybersecurity and national security, allowing you to influence the future of safe AI deployment in real-world scenarios.

Senior UX Researcher | Experiences About Tripadvisor The Tripadvisor Group is dedicated to connecting individuals with unforgettable experiences, aspiring to be the world’s most reliable source for travel and exploration. We utilize our extensive brands, advanced technology, and unique capabilities to engage our global audience with partners through rich content, travel insights, and dynamic marketplaces for experiences, accommodations, dining, and other travel categories. Our portfolio encompasses renowned travel brands and businesses, including Tripadvisor, Viator, and TheFork. As a Senior UX Researcher at Tripadvisor, you will serve as the key insights partner for our B2C Product Details Page (PDP) across Viator and Tripadvisor—where millions of travelers make decisions on their next journey. Reporting directly to the Director of Product Design & Research, you will elevate the standard of our research practices. You will expertly combine qualitative insights with Voice of Customer (VoC) feedback and behavioral analytics, transforming them into actionable recommendations that shape our product roadmap in a complex and diverse global market. The ideal candidate will possess over 6 years of hands-on qualitative and quantitative research experience in a professional setting, have a passion for research and travel, thrive in a fast-paced environment, and be eager to collaborate with a variety of skilled cross-functional teams. If you are enthusiastic about UX research and want to see your contributions lead to tangible real-world outcomes, we invite you to join our team. Job Location: Hybrid This role requires 1-2 days per month in our London or Oxford office.

Location: LondonCompany: H About H H is focused on building agentic AI that automates complex, multi-step tasks typically handled by people. The company’s goal is to help individuals achieve more by creating superintelligent systems that work safely and responsibly. H values openness, continuous learning, and collaboration. Every team member’s input matters here. About the Models Team The Models team develops the core models that power H’s agentic AI technology. This group works on training methods to boost model performance and efficiency, especially for agent-driven applications where inference costs matter. Projects span Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to interpret and interact with complex environments. Team members refine these models using advanced training approaches, including reinforcement learning and reward modeling. The focus is on better instruction following, tool use, and dynamic interaction. The team’s work bridges research and product, turning new research into practical solutions that move AI forward. Who Hires Here H seeks exceptional AI researchers and engineers from around the world who care about advancing technology safely and responsibly. The company welcomes those eager to shape the future of superintelligent AI alongside a collaborative and driven team.

Lyst is a cutting-edge global fashion shopping platform, initiated in London in 2010, serving over 160 million shoppers annually. We provide a vast selection of premium and luxury fashion items in one convenient location, showcasing collections from 27,000 leading brands and retailers worldwide. In 2025, Lyst formed a strategic alliance with Zozo, the operators of Zozotown, Japan's foremost fashion e-commerce platform. This collaboration signifies an exciting new chapter for Lyst as we enhance our vision and jointly leverage AI and technology to redefine the future of fashion shopping.At Lyst, our customer-centric approach drives us to enhance the search and discovery experience, ensuring it is inspiring, fulfilling, and personalized. We recognize the excitement of fashion yet understand that shopping for it can often be frustrating. Through the integration of technology, data, and creativity, we aim to elevate the shopping experience, offering greater joy, expanded choices, and minimized disappointments. Our mission is to empower fashion shoppers to make informed decisions while assisting fashion partners in reaching their ideal audiences as the premier destination for all fashion enthusiasts.The RoleWe are on the lookout for a Senior User Researcher to enhance the role of customer insights in shaping product strategies at Lyst.This position is hands-on, involving the execution of high-quality usability and opportunity research in close collaboration with product teams. The role also encompasses ownership of research enablement—establishing frameworks, tools, and methodologies that allow teams to operate more efficiently and alleviate bottlenecks.Key ResponsibilitiesDeliver Applied Research for Product TeamsPlan and conduct usability tests, interviews, and opportunity assessmentsUtilize platforms like UserTesting.com for rapid evaluative research that supports delivery teamsDesign and oversee surveys from start to finish, with proficiency in tools like SurveyMonkeyCollaborate with designers and product managers to define learning objectives early in the processTranslate findings into clear, actionable insights for product developmentEstablish Scalable Research FoundationsCreate and manage concise playbooks and templates for routine testingDevelop shared standards for quality, ethics, and consistency, coaching teams on their applicationPromote the adoption of consistent research practices to minimize reliance on centralized supportBuild Knowledge Systems and Insight RepositoriesMaintain effective knowledge workflows using tools like Notion or NotebookLLMDevise practical methods for capturing and reusing insights across teamsEmpower Teams Over TimeAssist teams in implementing safe and lightweight customer testing approachesMitigate bottlenecks by supporting others in mastering fundamental practicesSynthesize insights to ensure they accumulate rather than disperseCollaborate with Product Design by advising on prototype fidelity and testing preparedness, ideally with practical knowledge of research processes.

Faculty, established in 2014, develops AI solutions with a clear focus on serving people. The team has worked with more than 350 clients worldwide, consistently placing human needs at the core of their projects. Examples of Faculty’s work can be found here. Instead of chasing every new trend, Faculty prioritizes responsible and meaningful progress in AI. Clients come from a wide range of sectors, including government, finance, retail, energy, life sciences, and defense. This careful approach has shaped Faculty’s reputation and growth. The company is expanding and seeks people who are curious and motivated to use technology for real-world impact. At Faculty, employees help build AI applications that make a difference in society. Public Services Team The Public Services Business Unit applies AI to improve public life. Projects include supporting government decision-making, streamlining NHS operations, and reducing administrative burdens. The team leads major initiatives that influence public sector outcomes. Some projects involve government clients, so eligibility for UK Security Clearance (SC) may be required. There may also be occasions when on-site work is necessary. Role overview The Senior User Researcher plays a key role in building Faculty’s user research function. This position leads research for high-profile public sector AI projects, managing the entire research cycle from discovery through to delivery. Ensuring solutions meet GDS Service Standards and address real user needs is essential. Main responsibilities include developing ethical research methods and mentoring teams to strengthen the company’s research culture. This role helps define how human-centered AI is created for government applications.

About CartesiaAt Cartesia, we are on a mission to revolutionize artificial intelligence by creating interactive, ubiquitous intelligence that can operate seamlessly in any environment. Despite advances, current AI models struggle to process extensive streams of audio, video, and text simultaneously—an area we aim to transform.Our innovative team, which originated from the Stanford AI Lab, has developed State Space Models (SSMs)—a breakthrough in training efficient, large-scale foundation models. Merging deep knowledge of model engineering with a design-centric approach, we are dedicated to delivering cutting-edge AI models and applications.Supported by esteemed investors including Index Ventures and Lightspeed Venture Partners, alongside an array of industry experts and advisors, we are well-positioned to lead the future of AI.About the RoleAs we open our inaugural European office in London, we are eager to welcome talented individuals who share our vision for advancing real-time multimodal intelligence.Your ImpactEngage in pioneering research focused on neural network architecture design to elevate the state-of-the-art (SOTA) in alternative architectures such as state space models, efficient Transformers, and hybrid architectures.Create innovative architectures that enhance model quality, inference efficiency, and adaptability across various environments, from cloud infrastructures to on-device implementations.Investigate capabilities like statefulness, long-range memory, and advanced conditioning mechanisms to boost model expressiveness and generalization.Analyze how architectural choices affect model trade-offs, including scalability, robustness, latency, and energy consumption.Formulate new frameworks and tools to assess architectural innovations, benchmarking performance in both research and production contexts.Collaborate with multidisciplinary teams to translate architectural research into scalable, impactful systems for real-world applications.

Application Deadline: We are actively interviewing candidates and aim to fill this position promptly with the right individual.ABOUT THE ROLEAt Apollo Research, we conduct evaluations that meticulously assess the risks associated with advanced AI systems. Collaborating with leading laboratories such as OpenAI, Anthropic, and Google DeepMind, you will have the unique opportunity to engage with cutting-edge AI models ahead of their public release. The ideal candidate possesses a passion for rigorously testing state-of-the-art AI technologies and excels in creating and automating efficient evaluation pipelines.YOUR RESPONSIBILITIES WILL INCLUDE- Conducting pre-deployment evaluation campaigns on the world's most advanced AI systems. Our partnerships with various labs provide access to a wide range of models that no single lab can offer, allowing you to be among the first to engage with new models.- Exploring AI cognition by analyzing extensive model transcripts to identify novel behavioral patterns that have yet to be documented. These insights can be both surprising and enlightening, including phenomena like non-standard language and reward-seeking reasoning as discussed in our anti-scheming paper.- Developing new evaluations for frontier risks, creating innovative test environments, and scaling these across multiple scenarios.- Collaborating with leading AI developers to share your insights, receive feedback, and ensure your evaluations influence the deployment strategies of the most advanced AI systems.- Optimizing and automating the evaluation pipeline. We utilize automation in building, executing, and analyzing evaluations. As agent capabilities evolve rapidly, you will have the autonomy to reshape the pipeline to keep pace with these advancements.KEY REQUIREMENTS

Why join Faculty?Founded in 2014, Faculty is on a mission to harness the transformative power of AI, believing it to be the most pivotal technology of our era. With a diverse portfolio of over 350 global clients, we have consistently driven performance improvements through human-centric AI solutions. Discover our tangible impacts here.We focus on responsible AI development rather than chasing trends. Our team excels in innovating, building, and deploying AI solutions that truly matter. We offer unmatched expertise in technology, product development, and service delivery across various sectors including government, finance, retail, energy, life sciences, and defense.As our reputation grows, so does our commitment to finding individuals who share our passion for intellectual curiosity and the ambition to create a positive legacy through technology.AI defines this epoch; join us in exploring its most impactful applications and turning them into reality.About Our TeamOur dedicated team at Faculty engages in vital red teaming and creates evaluations for misuse capabilities in critical domains such as CBRN, cybersecurity, and international security. Our contributions have been recognized, notably in OpenAI's system card for o1.We are committed to conducting foundational research on mitigation strategies, sharing our findings through peer-reviewed conferences, and with national security institutions. Furthermore, we design evaluations for model developers focusing on safety and societal impacts of advanced AI models, showcasing our extensive expertise in the safety domain.About The RoleAs the Principal Research Scientist for AI Safety, you will lead Faculty's dynamic research team, influencing the future of safe AI systems. Your role will encompass overseeing the scientific research agenda centered on large language models and other significant systems. You will guide fellow researchers, spearhead external publications, and align your efforts with Faculty’s mission to develop trustworthy AI, allowing you to make a substantial impact in this fast-evolving field.

About the RoleJoin Woozle Research as an Associate Director in our dynamic London or Glasgow office. This pivotal leadership role is designed for seasoned professionals eager to influence high-caliber primary research utilized by leading hedge funds, private equity firms, and consultancies worldwide.Your key responsibilities include leading a team of Analysts and Associates, ensuring our deliverables consistently surpass client expectations, and nurturing lasting partnerships with investors and decision-makers.If you are passionate about guiding teams, enhancing client relationships, and delivering impactful market insights, we want to hear from you!

Role overview The Senior AI Consultant position at telefonicatech is part of the Data & AI department in London. The focus is on delivering artificial intelligence solutions that support clients in achieving better business results. What you will do Collaborate with teams from different disciplines to design and implement AI strategies tailored to client needs Use expertise in artificial intelligence to address and solve practical business problems Contribute to the development of solutions that seek to improve client performance Location This role is based in London.

At Canva, our mission is to empower individuals to unleash their creativity through design. We are innovating AI technology that not only feels intuitive but also creates meaningful impacts for millions, enabling everyone to design with confidence. We are seeking a Senior Research Scientist passionate about reinforcement learning, agentic systems, and mixture of experts (MoE) models to advance our capabilities in reasoning, tool utilization, latency, and reliability.About the TeamOur team delves into multimodal agentic architectures, establishing robust training and evaluation frameworks. We collaborate closely with product and platform teams to transform groundbreaking research into engaging product features. As a pioneering post-training team, we are dedicated to developing advanced multimodal agentic systems. We cover a wide array of topics, including multimodal modeling, post-training strategies, and agent design.About the RoleIn this role, you will influence research directions and engage in hands-on initiatives across the agent stack—from reward design and policy optimization to planning, memory management, tool orchestration, dataset construction, and the innovation of post-training methodologies. You will create meticulously designed experiments, iterate rapidly, and derive reliable conclusions, all while ensuring that research translates into safe, high-quality product experiences.Key ResponsibilitiesDesign and develop agent systems focused on planning, multimodal tool usage, retrieval, innovative training methods, and modeling experiments for real-world applications in design, vision, and language.Implement scalable post-training and reinforcement learning solutions across distributed systems (using PyTorch), optimizing data loaders, telemetry, and stable training of MoE architectures while ensuring reproducibility.Contribute to the reinforcement learning and agentic systems research agenda that aligns with Canva’s product vision; quickly identify and prioritize high-impact projects.Create reward models and learning loops, including RLHF/RLAIF, preference modeling, DPO/IPO-style objectives, offline/online RL, and curriculum learning.Develop simulation tasks that expose failure modes (planning errors, tool-use weaknesses, hallucinations, unsafe actions) and establish measurable targets for improvement.Lead rigorous evaluations for agents, focusing on task success, reliability, latency, safety, and regression testing. Set up offline suites and conduct online A/B testing; favor straightforward experiments that yield generalizable results.Collaborate closely with product, design, safety, and platform teams to successfully integrate research findings into reliable product features.

hellokindred is seeking a User Researcher based in London. This position centers on uncovering user needs and behaviors to help shape product decisions and improve the overall user experience. Role overview The User Researcher will design and carry out both qualitative and quantitative research studies. Insights gathered from these studies will directly inform product development and guide teams toward solutions that better serve users. What you will do Plan and execute research projects using a mix of qualitative and quantitative methods Analyze findings to identify patterns and actionable insights Share research outcomes with product teams to support user-centered design Location This role is based in London.

Join Lendable’s MissionLendable is dedicated to revolutionizing the credit landscape by creating cutting-edge technology that empowers individuals to access credit and save money effectively. As one of the UK’s newest unicorns, we are rapidly establishing ourselves among the fastest-growing fintech companies.With a dynamic team of over 700 professionals, we have been profitable since 2017 and are supported by esteemed investors including Balderton Capital and Goldman Sachs. Our customer satisfaction speaks volumes, boasting a remarkable rating of 4.9 from tens of thousands of reviews on Trustpilot.Having successfully reconstructed the Big Three consumer finance products—loans, credit cards, and car finance—we are committed to providing our customers with quick access to funds. Our vision extends to expanding into major markets like the UK and US, targeting outdated banking systems and improving user experiences.Why You Should Join UsOwnership: Take charge from day one and influence Lendable’s trajectory.Exceptional Teams: Collaborate with a small group of innovative individuals dedicated to solving complex challenges and improving existing solutions.In-House Technology: Develop top-tier technology using machine learning and AI to optimize processes and enhance efficiency.Role OverviewWe are in search of a hands-on AI Engineer to bolster our Internal Automation team. Your role will focus on enhancing the efficiency of various internal teams, including Finance, Compliance, Product, and QA, through the development of AI-driven tools and automated workflows. Working within a compact team of four engineers and one project manager, you will play a vital role in streamlining operations, minimizing friction, and allowing colleagues to devote more time to high-priority tasks.