Software Engineer - Data Flywheel at Perplexity | London

Join Perplexity, a pioneering firm serving millions of users daily by providing reliable and high-quality answers through an innovative LLM-first search engine combined with specialized data sources. Our Answer Quality team plays a crucial role in refining prompts, tools, searches, and specialized datasets, ensuring that our evaluations are fast, accurate, and actionable. In this exciting role, you will be instrumental in building the data flywheel that supports various teams across Perplexity.ResponsibilitiesDevelop and maintain systems and pipelines that empower Search, Product, and other teams to independently access reliable evaluation verdicts without delays.Take charge of the "evals-to-product" loop, autonomously transforming raw signals into robust datasets that drive decision-making throughout the organization.Construct a sophisticated simulator pipeline capable of replaying user interactions with the product in formats comprehensible to LLMs and VLMs, reflecting real-time product updates.Ensure data integrity by implementing monitoring, lineage tracking, and quality checks, providing downstream consumers with reliable results.Collaborate within a small, impactful team where your contributions will directly influence how Perplexity measures and enhances Answer Quality.

Join Perplexity, a pioneering company based in London, as we transform the way users search and engage with the internet. We are seeking seasoned Infrastructure Engineers to become integral members of our dynamic team. In this role, you will lead the design, implementation, and scaling of innovative tools, systems, and platforms that empower web, mobile, and browser engineers to develop cutting-edge products. Your contributions will be vital in enabling our product, AI, and development teams to innovate swiftly while ensuring utmost reliability, security, and performance at scale.Our Tech StackPython | Go | TypeScript | PostgreSQL | DynamoDB | Redis | FastAPI | React | Bazel | GitHub | AWSTeams HiringSenior/Staff PlatformThe Platform team is fundamental to ensuring product reliability, scalability, and performance at Perplexity. This elite team is responsible for developing and maintaining the critical infrastructure—from backend systems such as authentication, real-time data flows, and service orchestration to frontend frameworks that guarantee fast, reliable, and secure user experiences. By upholding stringent standards for code quality, uptime, and developer productivity, the Platform team enables all of Perplexity to innovate rapidly on a solid, well-designed foundation.Senior/Staff DevXThe Developer Experience (DevX) team is dedicated to empowering engineers at Perplexity to build, ship, and iterate faster than ever before. They manage internal platforms for source control, build, test, and deployment, effectively removing bottlenecks from each phase of product development. This team designs seamless onboarding, ultra-fast CI/CD pipelines, and developer tools that enhance creativity and safety at scale. Through collaborative efforts and significant autonomy, the DevX team amplifies the contributions of every engineer, facilitating rapid, dependable innovation across the organization.Senior/Staff Cloud InfraThe Cloud Infrastructure team architects and manages the essential cloud infrastructure that powers Perplexity’s global platform. This team designs and scales computing, storage, and networking systems to support high-throughput, low-latency workloads, balancing proactive project initiatives with operational support. Collaboration with product, AI research, security, and other teams ensures that our services remain consistently available, reliable, and responsive to user demands.

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-house models, provide the best results. As a Data Scientist/Engineer, you will analyze online signals derived from user interactions to connect shifts in answer quality with actual user behavior.Key ResponsibilitiesIdentify and validate online signals from user interactions that act as dependable indicators of true answer quality.Develop and implement innovative online metrics for tracking in A/B testing and product health dashboards, ensuring alignment with ground-truth evaluations.Evaluate experimental results to validate these metrics, ensuring they accurately reflect user satisfaction and guide product decisions.Construct and sustain data pipelines that compute these metrics at scale, providing actionable quality signals to Search, Product, and model training teams.Share insights and foster collaboration with Product and Search teams to enhance clarity and understanding.Contribute to a small, high-impact team where your work is instrumental in shaping how Perplexity measures and enhances Answer Quality.QualificationsMaster's degree in a technical field or equivalent professional experience.4+ years of experience in roles such as Data Scientist, Analytics Engineer, or similar positions.Proven experience with search, recommendation, or LLM-based products, particularly in designing online metrics and analyzing A/B tests.Strong coding skills in Python and SQL, with the ability to produce production-grade code.In-depth knowledge of statistical analysis methodologies.Experience using Business Intelligence (BI) tools for data visualization and reporting.Comfortable with coding workflows and using AI-assisted development tools for rapid iteration.Preferred QualificationsFamiliarity with Apache Spark and Databricks.Experience in developing or validating LLM-as-a-judge systems.Previous experience supporting large-scale customer-facing products.

Join our innovative team at Perplexity as an AI Inference Engineer, where you'll be at the forefront of deploying machine learning models for real-time inference. Our technology stack includes Python, Rust, C++, PyTorch, Triton, CUDA, and Kubernetes. This is a fantastic opportunity to contribute to large-scale ML applications.Key ResponsibilitiesDevelop robust APIs for AI inference catering to both internal and external clients.Conduct benchmarking and resolve performance bottlenecks in our inference stack.Enhance system reliability and observability, responding effectively to outages.Investigate cutting-edge research and implement optimizations for LLM inference.

About Flywheel Digital Flywheel Digital supports leading brands with digital commerce solutions that drive growth across major online marketplaces. The company’s platform delivers near real-time performance insights, helping clients improve sales, market share, and profitability. With teams across the Americas, Europe, and APAC, Flywheel Digital offers broad opportunities for personal and professional development. Role Overview Flywheel Digital is hiring a Senior Data Engineer in London. This role focuses on data architecture and pipeline design, building advanced data solutions for AdTech and MarTech. The team is looking for someone with deep experience in these areas who is ready to lead projects and shape the next generation of data products.

Perplexity is thrilled to introduce our Internship Program, designed for outstanding Master’s or PhD students specializing in Computer Science or Engineering in the UK for the 2025-2026 academic year. This immersive program offers a direct collaboration with our AI Inference team, providing a distinctive opportunity to acquire invaluable experience within a rapidly expanding AI startup. Exceptional interns may receive an offer for a full-time position upon completion of the program.Our AI Inference team is integral to the performance of Perplexity's products, overseeing the inference engine and deployments for models ranging from single-node embeddings to advanced distributed sparse Mixture-of-Experts models, all while managing extensive GPU clusters. With a focus on optimizing latency and throughput, the Inference team encompasses the entire serving stack, from GPU kernels to networking and monitoring infrastructure.

At Perplexity, we are transforming the way individuals discover and engage with information through cutting-edge AI-powered search and knowledge tools. As we broaden our global reach, we are excited to establish a significant presence in London, a key hub for innovation and growth across Europe.The Role:We are in search of an outstanding Site Lead to launch and expand our London office. This is a remarkable opportunity to define Perplexity's footprint in one of the world's foremost technology centers, where you will cultivate teams and a vibrant culture from the ground up, all while propelling technical brilliance in infrastructure and AI systems.As the Site Lead, you will be the representative of Perplexity in London, tasked with constructing our technical organization, nurturing a premier engineering culture, and directly overseeing one or more infrastructure teams. Your role will involve reporting to senior leadership and collaborating across various teams within our global network.

Role Overview Perplexity is seeking a People Operations Manager for a maternity cover based in London. This role centers on supporting the team through a range of HR responsibilities while contributing to a positive workplace culture. What You Will Do Oversee daily HR operations, including employee relations and performance management Collaborate with leadership to develop and implement workplace policies Manage talent acquisition and onboarding processes Support initiatives that help employees feel engaged and valued What Matters Here Experience with HR functions such as employee relations, recruitment, and onboarding Ability to work closely with leaders to shape workplace culture Strong organizational skills and a people-first approach This is a fixed-term position covering maternity leave.

Join Perplexity AI as a Search Machine Learning Engineer Intern, where you will have the opportunity to work alongside industry experts in the field of machine learning and artificial intelligence. This internship is designed to provide hands-on experience with cutting-edge technologies and methodologies in search algorithms and data analysis.

About the RoleJane Street is seeking a skilled Data Engineer to enhance our understanding, management, and dissemination of data that informs our trading strategies. At Jane Street, the ability to comprehend and manipulate data accurately is fundamental to our operations.In this role, you will utilize a combination of proprietary and open-source tools to analyze diverse datasets, identifying anomalies, ensuring consistency in formats and symbologies, automating ETL processes, and ultimately simplifying the process for our traders to derive insightful conclusions.We are looking for someone who is passionate about diving deep into data and articulating findings to various stakeholders, collaborating closely with traders and software engineers.While familiarity with financial data is beneficial, we do not require a financial background. We are eager to hire talented engineers and provide the necessary training.

About YouLendYouLend is an innovative and rapidly expanding FinTech company, recognized as the leading embedded financing platform for top-tier e-commerce platforms, technology firms, and Payment Service Providers. Our cutting-edge software empowers partners to enhance their offerings by providing customized financing solutions to their merchants under their own branding, all while mitigating capital risk.Backed by EQT, a prominent Private Equity firm, YouLend has achieved remarkable growth, exceeding 100% year-over-year since 2020. Based in London, we also operate across various European countries and the United States, serving renowned partners such as eBay, Amazon, Just Eat, Shopify, and Stripe.Position OverviewWe are on the lookout for a Data Engineer to become an integral part of our expanding Data Engineering & Platform team. This role is pivotal, bridging infrastructure, DevOps, and advanced data tools, with a primary focus on facilitating rapid, secure, and scalable analytics. You will play a crucial role in constructing and scaling a premier data platform that supports a wide array of functions, including dashboards, experimentation, machine learning, and compliance.Key Responsibilities:Develop and oversee the infrastructure for our data platform, utilizing technologies such as AWS, Snowflake, dbt, and Airflow.Design and execute CI/CD pipelines for dbt and various data workflows.Automate data platform operations using Python and infrastructure-as-code tools like Pulumi and Terraform.Collaborate with analytics, machine learning, product, and engineering teams to enhance data solutions.Maintain data quality, lineage, and governance through rigorous testing and monitoring.Utilize cost observability tools to promote efficient platform usage.Qualifications:The ideal candidate will possess the following qualifications:Demonstrable experience with cloud-based data platforms such as Snowflake, Redshift, or BigQuery.Strong proficiency in Python and SQL for automation and analytics purposes.Familiarity with CI/CD processes, particularly in dbt or similar data platforms.Practical experience with Infrastructure as Code (IaC) tools including Pulumi, Terraform, or CloudFormation.Solid understanding of orchestration tools like Airflow.Exceptional communication skills with a history of cross-functional collaboration.Desirable Skills:Experience with AWS services (S3, Lambda, MWAA) and Azure DevOps.Familiarity with monitoring tools such as DataDog.Why Choose YouLend?Recognized as one of the “Best Places to Work in 2024”, YouLend offers a dynamic workplace environment.

Join our innovative team at Astronomer as a Staff Software Engineer specializing in Data. In this role, you will help shape the future of data engineering solutions that empower organizations to harness the full potential of their data. You will work collaboratively with cross-functional teams to design, develop, and optimize data pipelines and infrastructure, ensuring high performance and reliability.

Role OverviewWe are seeking a talented Software Engineer specializing in Python to join our team at cfpenergy. In this pivotal role, you will be instrumental in designing, developing, and scaling our data infrastructure, which is crucial for driving our products and informed decision-making processes. You will help define the flow of data throughout the organization, ensuring it is efficiently ingested, processed, and transformed into actionable insights. Collaborating with developers, analysts, and trading teams, you will ensure our data is not only reliable and accessible but also future-proof. This position seamlessly blends hands-on engineering with architectural insight, allowing you to participate in design discussions, enhance data pipelines, and guide our technical strategy. We are looking for someone who takes initiative, relishes solving intricate problems, and can work collaboratively across various systems and teams to create meaningful impact.Key ResponsibilitiesArchitect, develop, and uphold robust applications within a domain-driven ecosystem.Engage in architectural dialogues and influence the long-term technical strategy.Manage tasks from requirements gathering to completion, showcasing creativity and adhering to coding standards.Create well-structured data models and maintain comprehensive documentation in collaboration with your team’s data engineers.Work closely with data engineers, developers, analysts, and trading teams to gather requirements and deliver dependable, well-architected data solutions.Identify and implement enhancements to performance, automation of manual tasks, and improvements in data quality and reliability across systems.Core Skills & ExperiencesCollaborative mindset: We seek individuals who are not only adept but also enjoyable to collaborate with, promoting a positive team culture through open communication.Analytical thinking: Accuracy and performance are central to our operations; your curiosity, structured approach, and meticulous attention to detail will drive every challenge.Problem-solving skills: You should be comfortable navigating complex systems to diagnose root causes while maintaining composure under pressure, striving for elegant, sustainable solutions.Effective communication: Your ability to articulate complex technical concepts clearly will bridge the gap between technical and non-technical teams, ensuring alignment.

About WheelyWheely is revolutionizing premium transportation in major cities across Europe, the US, and the Middle East. Our blend of innovative technology and exquisite chauffeuring services has garnered the trust of over 100,000 active riders and 1,200 corporate accounts.As a profitable and rapidly expanding scale-up with $43M raised and more than $100M in annual revenue, we have recently launched in New York City and are ambitiously growing throughout the US and EMEA. If you are passionate about your craft and eager to contribute to our next growth phase, we want to hear from you.We are seeking a Data Engineer to enhance our Data Team at Wheely, delivering a top-notch and seamless data experience to Business Users and Data Scientists.

As a Data Engineer at dev2, you will play a pivotal role in designing, building, and maintaining data pipelines that enable our teams to make data-driven decisions. You will work closely with data scientists and analysts to ensure the data infrastructure is robust and scalable.Your responsibilities will include optimizing data flow, ensuring data quality, and implementing best practices in data management. This is an exciting opportunity to be part of a forward-thinking company that values innovation and creativity.

Company OverviewDeductive AI is pioneering the development of the world's first real-time reasoning engine designed to identify and mitigate large-scale software outages. By employing advanced reasoning techniques on distributed systems, code, and statistical anomalies, we analyze vast amounts of telemetry data—including metrics, logs, traces, and events—in real-time. Our accomplished team boasts decades of experience from industry leaders such as Databricks, Facebook, Thoughtspot, Google, Splunk, and Amazon. Backed by top-tier venture capital firms, we are well-positioned for growth and innovation.Internship OverviewWe are looking for innovative interns to join our team and engage with cutting-edge technology. You will tackle fascinating challenges at the intersection of artificial intelligence, code understanding, and data analytics. Your work will involve distributed systems, the development of AI agents, and the fine-tuning and benchmarking of Large Language Models (LLMs).This is a paid, on-site internship based in Camden, London. As a Software Engineer Intern at Deductive AI, you will have the opportunity to contribute to the next generation of foundational code and data processing systems that can reason over extensive datasets, both structured and unstructured. We are committed to aligning projects with your skillset and preferences.

Join our dynamic team at OctoEnergy as a Data Engineer, where you will play a pivotal role in transforming data into actionable insights. We are seeking a motivated and innovative individual who thrives on tackling complex challenges and delivering high-quality solutions.

ASOS Plc seeks a Data Engineer in London to support data processing and analytics for its online fashion platform. This role centers on improving how data is managed and used across the company. Role overview The Data Engineer will work with modern data technologies, contributing to projects that influence data-driven decisions throughout the business. The position involves collaborating with teams to strengthen data workflows and ensure reliable analytics. Location This is a London-based role, working onsite with ASOS Plc's technology and analytics teams.

About SwapAt Swap, we are revolutionizing modern commerce with our unique AI-native platform that seamlessly integrates backend operations with an innovative storefront experience. Our solution is designed for brands aspiring to sell anything, anywhere, by centralizing global operations and enabling intelligent workflows. With real-time data and capabilities, our products cover cross-border transactions, tax management, returns, demand planning, and our state-of-the-art agentic storefront. This empowers merchants with complete transparency and the confidence to make informed decisions.We are fostering a culture at Swap that emphasizes clarity, creativity, and a shared sense of ownership as we redefine the landscape of global commerce.About the RoleWe are seeking enthusiastic, detail-oriented, and adaptable Data Engineers to join our platform team during an exciting phase of growth. This role is ideal for proactive engineers who thrive in dynamic environments and are eager to take charge, contribute significantly, and collaborate closely with product teams.In this pivotal position, you will play a key role in designing, optimizing, and scaling our premier data platform, which fuels our advanced customer-facing agentic systems. You will engage proactively with Product Managers and stakeholders to advocate for best practices, ensuring our platform remains robust and poised for future advancements.This hands-on builder role is suited for knowledgeable and enthusiastic team players excited about the opportunity to accelerate and expand a greenfield platform.Key ResponsibilitiesData Pipeline Engineering: Develop, optimize, and sustain comprehensive end-to-end data pipelines for essential business operations. Prioritize low latency, strong observability, and effective alerting for batch and stream processing to guarantee data reliability.API Development: Support the design and implementation of new features within the API layer, collaborating with product teams to ensure efficient data access.Platform Contribution: Own specific components of the data platform, actively contributing technical enhancements for scalability, future readiness, and alignment with Swap's long-term product strategy.Data Quality & Governance: Implement and advocate for best practices in data quality to ensure the data's integrity and reliability.What We Would Like to SeeA minimum of 3 years of experience in data engineering or related roles, demonstrating a strong understanding of data systems.Proficiency in programming languages such as Python, Java, or Scala.Experience with cloud platforms such as AWS, Azure, or Google Cloud.Strong problem-solving skills and a passion for data-driven decision-making.

Role overview Speechify is looking for a Software Engineer to focus on Data Infrastructure & Acquisition in London. The role involves building and maintaining the core data systems that power Speechify’s products. Daily work centers on designing, developing, and improving data pipelines to keep information moving efficiently throughout the organization. What you will do Collaborate with teams from different disciplines to shape and implement data infrastructure Create and refine data pipelines to ensure reliable acquisition and processing Support smooth data flow to meet product requirements Location This position is based in London, United Kingdom.