Data Scientist/Engineer – Online Metrics at Perplexity | London

At Perplexity, we empower millions of users every day with accurate, high-quality answers through our innovative LLM-first search engine and specialized data sources. Join our Answer Quality team, where we focus on enhancing user experience by ensuring our prompts, tools, search capabilities, and specialized datasets, combined with both cutting-edge and in-h…

Scopely is seeking a talented Senior Engineer to join and enhance our exciting new casual game, Monopoly GO!, while working remotely from the UK. At Scopely, we are passionate about what we do and strive to inspire play every day. Our dedicated team of game enthusiasts is committed to developing, publishing, and innovating within the mobile gaming industry, creating connections with millions of players worldwide. The Monopoly GO! team is a vital part of our franchise portfolio and has recently emerged as one of Scopely’s most significant games. Our team operates on a global scale, with key members located in Spain and the US.

Join us as a Risk Manager for a prominent global Civil Engineering contractor. In this role, you will be instrumental in implementing processes to identify, control, and report risks associated with the Euston Station Project, part of the prestigious HS2 initiative.As a leading main contractor in a joint venture, our client is committed to delivering the Euston Station redevelopment, collaborating closely with HS2 Ltd and station designers to ensure seamless integration of platforms, concourse, and connections to the London Underground and other rail services.Key Responsibilities:Implement risk management processes at the project section level, ensuring effective risk recognition and management.Provide expert advice and guidance to managers on the application of risk classification at both program and project levels.Support senior management in administering the risk management process, especially regarding risks that may impact business benefits and project objectives.Assist senior managers in identifying opportunities to mitigate risks through collaboration and synergy across project sections.Oversee the development of risk mitigation action plans and appoint risk owners for all significant risks, ensuring project plans are updated and action plans are monitored.Lead regular project level Quantitative Risk Assessments (QRA) and evaluate the adequacy of contingency plans as part of the reporting cycle.

Intercom is the leading AI Customer Service platform dedicated to transforming how businesses engage with their customers. We empower companies to provide outstanding customer experiences through our innovative solutions.Our advanced AI agent, Fin, is at the forefront of customer service technology, enabling businesses to deliver exceptional, always-on support. Fin seamlessly integrates with our Helpdesk to form the Intercom Customer Service Suite, a comprehensive solution designed to address both simple and complex customer inquiries.Since our inception in 2011, we have earned the trust of nearly 30,000 businesses worldwide, setting a new benchmark for customer service excellence. Our core values drive us to challenge norms, work with agility, and consistently deliver outstanding value to our clients.What’s the Opportunity?Recently, we have seen a surge in demand for skilled software engineers who collaborate closely with our strategic customers, helping to align their business objectives with our AI capabilities through Fin. As a pioneering Senior Forward Deployed Engineer, you will engage with our R&D team to influence product direction while creating significant business impact for our customers.Your contributions will be crucial in redefining how our key clients enhance their customer support operations. You will collaborate with customers and our go-to-market team to deeply understand their needs, and design, develop, and implement tailored solutions.If you seek a role that offers ownership, creativity, and the chance to lead R&D and go-to-market initiatives in a dynamic environment, this position is ideal for you.What Will I Be Doing?Facilitate the adoption of Fin by guiding prospects to harness the full potential of Intercom’s AI capabilities, automating and scaling their support operations.Engage deeply with strategic customers to comprehend their business challenges and technical requirements, offering insights to achieve exceptional results with Fin.Act as a technical expert and trusted advisor, collaborating directly with customer technical teams, coding alongside them to ensure successful project completion.Work in close partnership with Sales, Success, and Product teams to guarantee seamless customer experiences, project success, and actionable product feedback.Contribute to the evolution of the Forward Deployed Engineering function by documenting best practices and sharing insights garnered from customer interactions to facilitate our growth.

Waymo is at the forefront of autonomous driving technology, striving to become the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™. Our goal is to enhance mobility access while preventing the tragic loss of life caused by traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. To date, we've completed over ten million rider-only trips, with extensive experience driving autonomously over 100 million miles on public roads and conducting tens of billions of miles in simulation across more than 15 U.S. states.The Simulator team is responsible for creating cutting-edge simulations that mimic realistic environments to train and test the Waymo driver. Through advanced machine learning techniques, we model real-world scenarios, including realistic agents such as vehicles, pedestrians, cyclists, motorcyclists, and more, alongside roads, traffic systems, and weather conditions. By leveraging large foundation models, trained on our vast datasets, we can rapidly set up and deploy diverse scenarios to challenge our driver.We are excited to establish a team in London, UK, to collaborate with our colleagues in Mountain View and Oxford on enhancing these foundational models and integrating them into various training and evaluation tools. We seek enthusiastic research engineers eager to tackle these groundbreaking challenges.In this hybrid role, you will report directly to an Engineering Director.

POS-22139This position offers flexible work options: Office, Hybrid, or Remote within the UKAt HubSpot, we are dedicated to equipping businesses with state-of-the-art AI technologies, and our AI Infrastructure group plays a pivotal role in this mission. We are looking for a Staff Software Engineer who is passionate about infrastructure and improving the developer experience to join our dynamic AI Serving team. This team is responsible for managing HubSpot's end-to-end model inference and serving infrastructure, ensuring that AI models are deployed reliably, scaled appropriately, and remain cost-effective across various environments, while also serving as the cornerstone for modern Python development at HubSpot.The AI Serving team is in charge of the frameworks and libraries that facilitate synchronous, asynchronous, and offline inference, including model deployment pipelines, autoscaling, and resource management for both GPU and CPU. Our roadmap is focused on enhancing batch inference reliability and efficiency, advancing model observability, and optimizing AI infrastructure costs. Additionally, we are the custodians of essential Python libraries and tools within HubSpot.As a Staff Software Engineer on the AI Serving team, your responsibilities will include:Developing and deploying production-level code that directly enhances AI capabilities across HubSpot, serving as a crucial component for user and business impact at scale.Driving the advancement of our model serving and inference infrastructure, with an emphasis on reliability, scalability, and cost efficiency.Setting the technical direction for deploying and operating ML models at scale, influencing decisions on architecture, cost management, and developer experience.Collaborating closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving processes.Gaining in-depth exposure to a variety of HubSpot infrastructure systems by building and maintaining core Python libraries, providing an excellent opportunity to understand HubSpot's operations in detail.Engaging with HubSpotters across the organization—from engineering and product to design, research, marketing, and sales—to gain insights into how HubSpot functions as a business.Being encouraged to bring your authentic self to work and to choose a work style and location that enables you to perform at your best, whether that be from home, in an office, or a combination of both.We are not solely seeking engineers with extensive experience; we are looking for individuals who have demonstrated unique excellence, leadership qualities, and the ability to uplift those around them.

At Suade, we are pioneering cutting-edge regulatory technology designed to avert future financial crises. Our success hinges on the collaborative efforts of our engineers and domain experts, who work together to transform complex financial and regulatory concepts into robust code. As a RegTech Engineer, you will play a vital role in driving the continuous growth of our business.This position is ideal for seasoned software engineers who have a passion for structuring and solving real-world challenges through technology. If you possess an eagerness to learn about finance, a strong analytical mindset, and enjoy collaborating with non-technical teams to convert their insights into functional code, we would love to connect with you.Please note that we cannot provide visa sponsorship for this role. Applications from candidates requiring visa sponsorship will not be considered.Suade is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without bias.

Join our dynamic team at asos as a Senior Software Engineer specializing in Azure and C#. In this pivotal role, you'll be responsible for designing, developing, and deploying innovative software solutions that enhance our e-commerce platform. You'll collaborate with cross-functional teams to ensure the delivery of high-quality software that meets our business objectives and customer needs.

Join AECOM as a Senior Design Manager specializing in the water sector, where you'll lead innovative design projects that have a meaningful impact on communities. Your leadership will guide a dedicated team, driving the successful delivery of high-quality water infrastructure solutions. You will collaborate with clients and stakeholders, ensuring that projects meet rigorous standards and timelines.

Join our dynamic team at version1 as a Frontend Engineer, where your expertise in Java and open-source technologies will help shape the future of our digital solutions. You will collaborate with cross-functional teams to design and implement innovative front-end solutions that enhance user experience and drive engagement.

This is a flexible, remote-first role based in the UK, with occasional in-person team gatherings typically held quarterly in Bath, London, or Edinburgh.About UsAt Seccl, we are revolutionizing the investment landscape as the Octopus-owned embedded investment platform with a mission to empower more individuals to invest wisely.As a proud B-Corp certified company, we have achieved a remarkable product-market fit and are experiencing impressive early growth. Our vision is to transform an antiquated industry for the better, and we are on a fast track to scale even further in the coming years.We are also a key part of the Octopus Group, a multi-billion-pound organization dedicated to revitalizing struggling industries through innovative companies such as Octopus Energy, Octopus Investments, and Octopus Money.Explore more about our offerings on the Seccl website and learn about our mission to pioneer the future of investments.Our CultureNever Settle: We view ourselves as 'embedded hero-makers' for our clients. We prioritize their needs and commit to delivering on our promises, no matter the obstacles. We think boldly and welcome change.Take Ownership: We approach challenges with rigor and urgency, setting ourselves apart through our speed and quality. We never lose sight of long-term scalability.Be Generous & Candid: We promote an environment where everyone feels comfortable challenging us and engaging in difficult conversations. Our flat and inclusive culture fosters authenticity and open dialogue.For the latest reviews, visit our Glassdoor page or follow us on LinkedIn for updates and insights from our team.Our Engineering PracticesExplore our API design concepts.

About OLIXAt OLIX, we are at the forefront of the AI revolution, tackling the unprecedented demand for advanced computational capabilities. As the industry faces a significant infrastructure gap, we are redefining the hardware landscape with our revolutionary Optical Tensor Processing Unit (OTPU). This innovative technology promises unmatched performance and energy efficiency, setting the stage for the economic opportunities of the next century.Role OverviewJoin us as a Staff Engineer in Hardware Integration, where you will be the leading technical authority in your team, specializing in hardware-software integration across a critical segment of the OTPU stack. Your expertise will guide projects from pre-silicon design to post-silicon validation and sustainment engineering.We seek an experienced engineer who can set the technical vision for the team and tackle the most challenging engineering issues. Collaborating with the Engineering Manager, you will translate strategic priorities into actionable plans, drive technical decisions, and ensure the creation of reliable, maintainable solutions. Your hands-on expertise, sound engineering judgment, and influence through high-quality work will be pivotal to our success.Key ResponsibilitiesLead Technical Direction. Collaborate with the Engineering Manager to establish the technical focus for your team and take ownership of architectural decisions that influence the team's development and operational processes.Translate Priorities into Action. Partner with the Engineering Manager to decompose complex technical challenges into specific, implementable plans, ensuring the team is aligned on building effective solutions.Uphold Technical Excellence. Define the principles, interface agreements, and standards for the team—be it in firmware interfaces, ASIC validation methods, or interconnect fabric integration—ensuring consistent application across projects.Make Informed Technical Decisions. Own critical decision-making within your domain, which may include BSP and firmware architecture, ASIC validation approaches, or BMC platform design.Foster Team Alignment. Cultivate a shared understanding among engineers by ensuring clarity and rigor in technical discussions, facilitating well-reasoned decisions.

Role Overview Wise is looking for a Senior Software Engineer to focus on Global KYC (Know Your Customer) and Onboarding systems. This position is based in London and centers on building and improving the software that supports customer verification and onboarding. What You Will Do Design and implement software solutions for KYC and onboarding using Java. Work with cross-functional teams to deliver features that support regulatory compliance and smooth onboarding for customers. Contribute to systems that help Wise meet regulatory standards while keeping customer experience front and center. About Wise Wise is a financial technology company focused on making money movement and financial services easier and more transparent for customers worldwide.

Corgi builds insurance products for tech startups, using AI at the core of its platform. With $108 million in funding and a license to operate as a carrier, the company is expanding into the UK and EU. The main stack features Django and Stripe, and the team is focused on AI-driven underwriting. Role overview The Engineering Lead will join the London office to help scale Corgi’s platform. This is a hands-on position for someone who enjoys building and shipping products, often with little direction or roadmap. Experience launching side projects, weekend builds, or products that have reached real users is strongly valued. The role suits engineers who are comfortable working independently and thrive in startup environments. What we look for Self-driven engineers with high energy who enjoy startup life Demonstrated ability to independently build and deliver real projects Comfort moving quickly and measuring progress in hours or days Ability to work across the stack and adapt to new technical challenges Openness to changing direction when presented with better solutions Low-ego approach, focused on outcomes rather than titles How we work Decisions are made quickly; action is valued over perfection New products and process changes ship regularly, not just quarterly We prefer a ship-and-iterate mindset to long review cycles Product launches can be intense, but team energy stays high even during quieter times Decisions happen in public channels, not behind closed doors Internal competition is encouraged, with top performers raising the bar This is a build-focused role. Coasting is not an option here. Behaviors that don’t fit Office politics, shirking responsibility, or gossip Taking feedback personally rather than using it to improve Adding unnecessary bureaucracy instead of simplifying work Missing deadlines after committing to them How to apply Send links to your GitHub, personal site, live projects, or anything you have built and shipped No CVs, please Email your application to: sergio@corgi.com If you cannot show shipped work, this role is not a fit Location and compensation Based in London, with on-site and hybrid options Salary: £75,000 to £140,000, plus equity The wide salary range reflects our focus on proven ability to ship, not job titles

Role overview Wise seeks a Senior Software Engineer I to join the Enterprise division, concentrating on banking solutions. This London-based position involves building and refining software that powers financial transactions for enterprise clients. What you will do Collaborate with a cross-functional team to design, develop, and implement software tailored for banks and enterprise partners. Apply technical expertise to strengthen the Wise platform, supporting enterprise-scale financial transactions. Contribute to delivering dependable, high-quality services for clients in the banking sector. Location This role is located in London.

At Thought Machine, we are on a daring mission to revolutionize the banking sector by eliminating outdated legacy technologies. We have pioneered the foundations of modern banking with our innovative core and payments technology, which operates seamlessly in the cloud. Our ambitious goals demand a team of exceptional individuals collaborating to build cutting-edge technology.In recent years, we have experienced rapid growth, expanding our team to over 550 talented professionals across our offices in London, New York, Singapore, Sydney, and our new Engineering Hub in Lisbon. With over £500 million raised in funding from prominent investors such as Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, and JPMorgan Chase Strategic Investments, we are poised for continued success.Our workplace culture is designed to empower our team to deliver the highest quality work while enjoying the journey. We are consistently recognized for our outstanding workplace environment, boasting one of the highest Glassdoor ratings among UK fintech companies and offering the industry's most competitive employee share packages. As a testament to our innovation, we have been named one of the world's most innovative fintechs by Global Finance Magazine and recognized by the Financial Times as one of Europe’s fastest-growing companies for two consecutive years, as well as a UK Best Employer for 2026.As a Site Reliability Engineer at Thought Machine, you will play a crucial role in safeguarding the mission-critical systems of some of the world’s leading financial institutions. Join our elite, globally distributed team and take charge of maintaining the robust production infrastructure that enables our customers to leverage advanced Core Banking and Payments platforms. This is your chance to leave a significant mark on the global financial landscape while working alongside brilliant minds to tackle complex engineering challenges.As part of the Site Reliability Engineering team based at our London headquarters, you will be integral in addressing the technical challenges of driving Thought Machine's growth. Expect to collaborate with senior stakeholders and customers on critical programs and initiatives essential to our company's success.

Why Join Faculty?Founded in 2014, Faculty believes that Artificial Intelligence (AI) is the defining technology of our era. Since our inception, we have partnered with over 350 global clients to elevate their performance through human-centric AI solutions. Discover our tangible impact here.We prioritize innovation over fleeting trends. Our commitment is to design, build, and deploy responsible AI that delivers significant results. Our team possesses unmatched technical, product, and delivery expertise, catering to clients across various sectors including government, finance, retail, energy, life sciences, and defence.As our business and reputation expand rapidly, we are eager to find individuals who share our intellectual curiosity and passion for leveraging technology to create a positive legacy.Join us and be part of a revolution in AI, where you will be empowered to envision and realize its most impactful applications.About Our TeamOur Defence team specializes in developing and integrating human-centered AI solutions that provide our country with a competitive advantage in the defence arena. We work closely with our clients to implement ethical, dependable, and state-of-the-art AI in high-stakes environments, helping to maintain the global balance of power critical to our freedom.Due to the sensitive nature of our Defence projects, candidates must be eligible for UK Security Clearance (SC) and be comfortable working on-site 2 to 4 days per week, which may involve travel to various locations across the UK.When not engaged with clients, you’ll enjoy the flexibility of working either from our London office or remotely within the UK.#LI-PRIORole OverviewWe invite you to join our team as a Machine Learning Engineer, where you will create bespoke, impactful AI solutions for our diverse clientele.You will play a crucial role in transitioning machine learning from theoretical frameworks to practical applications, contributing to scalable software architecture and establishing best practices. Collaborating with clients and cross-functional teams, you will ensure the technical feasibility and timely delivery of high-quality, production-ready ML systems.Key Responsibilities:Developing and deploying production-grade ML software, tools, and infrastructure.Collaborating with cross-functional teams to ensure project success and quality.Maintaining best practices in software development and machine learning methodologies.

About UsAt Sierra, we're on a mission to revolutionize customer experiences through our innovative AI platform. With headquarters in San Francisco and expanding offices in cities like London, New York, and Singapore, we are dedicated to creating meaningful interactions between businesses and their customers.Our core values—Trust, Customer Obsession, Craftsmanship, Intensity, and Family—define our culture and drive our commitment to excellence in every project we undertake.Our visionary co-founders, Bret Taylor and Clay Bavor, bring a wealth of experience from leading tech giants like Google and Salesforce, ensuring that our team is equipped with unparalleled expertise in the field.Your RoleDesign and deliver robust AI agents: You will create high-performing, reliable, and intuitive AI agents that are crucial to Sierra's growth, operating across diverse sectors such as finance, healthcare, and e-commerce.Lead the Agent Development Life Cycle (ADLC): You will take charge from pilot development through to deployment and ongoing refinement, setting benchmarks for best practices in the industry.Collaborate with industry leaders: By partnering with major enterprises and innovative startups, you will address critical business challenges and integrate AI solutions that transform operational efficiencies.

Join Gradient Labs to Revolutionize Customer Experience in Financial ServicesAt Gradient Labs, we are on a mission to create an innovative AI agent that transforms customer interactions and streamlines operational efficiency within the financial services sector.Established in 2023, we have rapidly progressed from a concept to a dynamic team, serving renowned clients who appreciate our cutting-edge solutions. Our AI agent is distinctive, being the sole AI operations agent tailored specifically for financial services, adept at managing even the most complex and critical customer inquiries with utmost safety and efficiency. It acts as a singular agent for all customer operations, providing businesses with the extensive visibility and control necessary to ensure reliable outcomes.Our team is small but formidable, composed of builders from prestigious organizations such as Monzo, Pleo, and Google. If you are passionate about solving challenging AI problems and wish to influence the future of customer operations and experiences, we eagerly await your application. Your Role as an AI Engineer at Gradient LabsAs an AI Engineer, your primary responsibilities will include:Agent Enhancement: Develop, assess, optimize, and expand the capabilities of our AI agent. This entails preparing datasets, iterating on enhancements, and thoroughly testing and deploying successful methodologies into our production environment.Experimentation & Prototyping: Stay ahead of the curve by keeping up with the latest advancements in NLP and generative AI. You will explore and prototype innovative solutions to integrate state-of-the-art technologies into our platform.Data Analysis: Examine customer query datasets, support tickets, and related information to uncover insights and identify further automation opportunities for our agents. Who We SeekIndividuals eager to challenge the limits of autonomous agents that emulate human behavior.Self-driven professionals who thrive in a fast-paced setting rather than lengthy research cycles.Quick learners who can summarize, replicate, and test ideas from academic research.Impact-driven contributors focused on the practical applications of the products they develop rather than solely on research outcomes.Resilient problem-solvers who can navigate the uncertainties and setbacks that come with experimental work.

Join Distyl AIAt Distyl AI, we are revolutionizing the landscape of applied artificial intelligence. As a pioneering technology company, we collaborate with leading institutions across sectors such as telecommunications, healthcare, insurance, manufacturing, and consumer goods. Our mission is to redefine operational processes through innovative AI-driven solutions.Our extensive research and deployment initiatives focus on creating AI-native systems that enhance efficiency and effectiveness. Our groundbreaking technologies support massive operational frameworks, impacting millions of consumer interactions and vital workflows globally.With backing from top-tier investors including Lightspeed Venture Partners and Khosla Ventures, Distyl AI boasts a remarkable track record of 100% success in production deployments, making us one of the few profitable enterprises in the AI domain.Your RoleWe are excited to announce the opening of our London office and are in search of talented AI Engineers to architect and implement production-grade AI systems harnessing the power of Large Language Models (LLMs).As an AI Engineer, you will collaborate with Fortune 500 clients to streamline intricate workflows using state-of-the-art AI technologies. You will design and launch AI applications that operate on a large scale in critical environments, from intelligent agents to comprehensive AI solutions.This position is highly hands-on, requiring close collaboration with clients to define system architectures and develop reliable, impactful AI systems from initial prototypes to full-scale production. You will also play a pivotal role in shaping technical strategies across key customer projects, guiding enterprise teams through the intricacies of AI adoption.