algo1

A leading stealth-mode AI company in Greater London is searching for a Full Stack Engineer specializing in Frontend development. This role involves designing and building real-time web interfaces that personalize in-store shopping experiences. Ideal candidates will have expertise in Typescript, React, and real-time communication protocols, with a focus on utilizing AI for development. The position offers the chance to drive innovation in retail by creating user-centric applications from day one.

About algo1 We're a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up - no legacy, no patchwork systems - just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. The Role We're looking for a Full Stack Engineer with Frontend specialism to work closely with product, design, mobile, and machine learning team members to design & build experiences that re define retail shopping. You'll help help build engaging & intuitive web experiences using highly responsive UI components and real-time data flows. We are looking for people of varying experience levels who are willing to take the lead on delivering features end-to end. You will have already embraced agentic coding and how it can be used to enhance individual and team productivity. What You Will Own Design and implement reactive, real time web interfaces that help manage & redefine what is possible with in store content personalisation Understand the different users of the platform and advocate for their needs Translate user and business needs into a functional web application using RBAC and ReBAC to cater to the different users Contribute to API and broader system design & documentation as part of end to end delivery of features Essential Qualifications Strong understanding of UX principles and web design fundamentals Expert in Typescript and React Experience with real time and bi directional communication protocols and patterns (eg. WebSockets, SSE) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) AI Native development: Fast iteration & prototyping using AI tools such as Copilot, Claude or Cursor Nice to Have Experience in backend development and event driven architecture Our stack includes python, FastAPI, postgres, Kafka and MQTT Worked with IoT or Edge oriented architectures Experience or knowledge in retail POS, inventory, or loyalty systems If you're excited by the idea of shaping the future of retail and eager to make a real impact from day one, we'd love to hear from you.

A forward-thinking tech startup in Greater London is seeking a Full Stack Engineer to join their innovative team. You will collaborate closely with product, design, and machine learning experts to create next-generation in-store shopping experiences. Responsibilities include designing real-time web interfaces, integrating AI-driven personalisation, and contributing to system design. Ideal candidates have experience in full-stack development with languages like Python, Java, or Go, along with knowledge of various storage technologies and distributed systems.

About algo1 We're a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up - no legacy, no patchwork systems - just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. We are taking an almighty swing of the bat; it is difficult, full of risk, and exactly why we are here. The Role We're looking for a Full Stack Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. We believe that agentic, LLM-driven workflows are here to stay and are looking for engineers who have embraced this and will being a different perspective to our product development lifecycle. You'll help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You'll work across the stack, implementing highly responsive UI components and real-time data flows and APIs on a backend designed for scale & flexibility. What You Will Own Design and implement reactive, real-time web interfaces that help manage & redefine what is possible with in-store content personalisation Contribute to distributed, event-driven backend services connecting our web experience with information from remote devices and external data sources. Model and manage structured and semi-structured data across storage layers Integrate AI-driven personalisation and real-time insights into user flows Contribute to overall system design: service boundaries, data ownership, scaling, and observability Essential Qualifications Built modern full-stack applications (Python/Java/Go + React/ts) Worked with a variety of storage technologies (eg. Postgres, Mongo, Redis, Object) Experience with async and bi-directional communication protocols and patterns (eg. WebSockets, SSE) Designed and implemented event-driven distributed systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Actively utilising and experimenting with AI development tools (eg. Claude, Copilot, Cursor) to speed up iteration, prototyping and overall development Nice to Have Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Experience with container orchestration and service containerisation (Kubernetes, Docker) Worked with real-time data collection and/or processing Worked in an IoT or Edge-oriented architectures Experience or knowledge in retail POS, inventory, or loyalty systems If you're excited by the idea of shaping the future of retail and eager to make a real impact from day one, we'd love to hear from you.

About Us We're a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up -no legacy, no patchwork systems - just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. The Role We're looking for an experienced Cloud Engineer to join our engineering team to help design & build our cloud platform from the ground up. This role is ideal for someone looking for a greenfield opportunity working on cutting-edge solutions. About You Strong experience designing, building, and supporting infrastructure in cloud environments. Deep understanding of cloud networking concepts and patterns, including routing, private connectivity, and security controls best practices. Solid experience with container orchestration systems and how to manage workloads at scale. Proficient with Infrastructure as code tools and practices. Comfortable writing automation, configuration, and tooling to simplify operations and reduce manual effort. Knowledgeable about observability tools & best practices. Ability to collaborate across teams with excellent written and verbal communication skills. Nice to Have Experience with multi-cloud and/or hybrid deployments. Knowledge of optimising and managing large-scale data processing frameworks (Eg. Spark, Trino, or similar). Experience optimizing cloud costs/spend. Experience setting up SRE, self-service, and incident-management processes. If you're excited by the idea of shaping the future of retail and eager to make a real impact from day one, we'd love to hear from you.

About Us We are a VC-backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision-making models to build engaging customer experiences for in-store retail. Our mission is to change retail forever through hyper-personalised shopping experiences that are both simple and beautiful. About the Job We are looking for a Senior Data Scientist with experience in bringing advanced machine learning and data science systems to production to work with our team of industry leading domain experts and engineers. You'll be working across our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models to production and optimise for inference in edge computing environments. Essential Qualifications 3-5+ years implementing advanced data science solutions in a commercial setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points) Strong practical understanding of retail analytics including consumer segmentations, personalisation systems, campaign effectiveness and media measurement. Experience with recommender systems and/or behavioural AI. What We Offer Opportunity to build technology that will transform millions of shopping experiences. Real ownership and impact in shaping product and company direction. A dynamic, collaborative work environment with cutting-edge ML challenges. Competitive compensation and equity in a rapidly growing company. If you're an energetic data scientist who thrives in a fast-paced environment and wants to make a real impact on the future of retail, we'd love to hear from you.

About Us We are a VC backed startup focused on hyper personalisation, currently in stealth. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision making models to build the most engaging customer experiences for in store retail. Our mission is to change retail forever through hyper personalised experiences that are both simple and beautiful. About the Role We are looking for a Machine Learning Engineer with strong software engineering fundamentals to join our team of domain experts and researchers. You will be responsible for building robust, scalable ML systems that bring our foundation models for retail from prototype to production. Key Responsibilities Design and build production grade ML infrastructure, including training pipelines, model serving, and monitoring systems. Collaborate with research engineers to translate experimental models into reliable, maintainable software. Optimise ML systems for performance, scalability, and cost efficiency in cloud environments (distributed clusters, GPUs). Establish engineering best practices for ML development, including testing, CI/CD, and code review standards. Progression Timeline Month 1: Onboard to existing ML codebase and infrastructure; identify technical debt and reliability gaps; ship incremental improvements to model serving latency or pipeline robustness. Month 3: Own and deliver a major infrastructure component (e.g., feature store, training orchestration, or model registry); improve system observability with logging, metrics, and alerting. Month 6: Lead the end to end productionisation of our foundation model, meeting latency, throughput, and reliability SLAs; mentor teammates on engineering standards and contribute to architectural decisions. Essential Qualifications 3-5+ years building and maintaining ML systems in production environments. BSc or MSc in Computer Science, Software Engineering, or a related field. Strong software engineering skills: clean code, testing, debugging, version control, and system design. Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX). Hands on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes). Solid understanding of ML fundamentals (model training, evaluation, common architectures). Desired Skills (Bonus Points) Experience with MLOps tooling (MLflow, Kubeflow, Weights & Biases, or similar). Building data pipelines (real time or batch) using tools like Apache Spark, Kafka, Airflow, or dbt. Familiarity with recommender systems, transformers, or graph neural networks. Exposure to model optimisation techniques (quantisation, distillation, efficient inference). What We Offer Opportunity to build technology that will transform millions of shopping experiences. Real ownership and impact in shaping product and company direction. A dynamic, collaborative work environment with cutting edge ML challenges. Competitive compensation and equity in a rapidly growing company. If you're excited by the idea of shaping the future of retail and eager to make a real impact from day one, we'd love to hear from you.

A forward-thinking tech startup in Greater London seeks an experienced Machine Learning Engineer to develop robust ML systems for retail. Your key responsibilities will include designing production-grade infrastructure and collaborating with researchers on model implementation. Applicants should have 3-5+ years of experience in ML production, strong Python skills, and familiarity with cloud platforms. This role offers competitive compensation and an opportunity to shape the future of retail technology.

A stealth-mode technology company based in Greater London is seeking an experienced Cloud Engineer to design and build their cloud platform from scratch. This role offers a greenfield opportunity to work on innovative solutions within a dynamic environment. Candidates should have strong experience in cloud infrastructure, container orchestration, and automation tools, along with excellent communication skills to collaborate effectively across teams.

A VC-backed startup seeks a Senior Data Scientist to revolutionize retail through advanced machine learning and data science solutions. You'll design scalable ML systems, enhance recommender systems, and work with industry-leading experts. The role requires 3-5+ years of experience, an MSc in a related field, and expert-level skills in Python. Offered are opportunities for ownership, competitive compensation, and a dynamic working environment. Join us to make a real impact on the future of retail.

A VC-backed stealth-mode AI startup in Greater London seeks an expert in agentic development to design and build advanced AI solutions for retail. The candidate will be responsible for driving best practices for agentic development, defining high-impact platform solutions, and implementing evaluation strategies for LLM agents. Essential qualifications include experience with modern agentic frameworks and deployment in production environments. If you want to impact the future of retail, we want to hear from you.

About Algo1 We're a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up - no legacy, no patchwork systems - just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. The Role You will be an expert in agentic development familiar with both the latest advancements in models as well as the agentic toolchain and best practices. You will work closely with product, design, mobile, and machine learning team members to design & build agents that drive everything from user experience to platform automation and efficiency. Alongside product development, you will bring your expertise to enable the rest of the company to deliver faster and more effectively, whilst maintaining quality, using the latest agentic approaches and tools. What You Will Own Defining and implementing complex, high-impact agentic AI platform solutions. Driving best practices and enablement for agentic development across the engineering organization. Establishing and maintaining robust evaluation (Evals) strategies for LLM agents, focusing on performance, latency, quality, and explainability. Keeping up with the latest developments in models (Frontier Labs and Open Source) as well as agent development toolchains and best practices. Deployment, scaling, monitoring, and cost-efficiency of agentic applications. Essential Qualifications Deep understanding and hands-on experience with modern agentic development frameworks (e.g. Pydantic AI). Familiarity with designing and implementing complex, multi-step agentic workflows and planning/reasoning capabilities. Proven ability to design and implement robust evaluation (Evals) strategies for large language model (LLM) agents, including metrics for performance, latency, and quality. Expertise in advanced context management techniques, including retrieval-augmented generation (RAG), memory structures, and context window optimization. Experience with deploying and monitoring agentic applications in production environments including scaling, monitoring (OTEL), cost, and token usage. Nice to Have Experience in backend development and event-driven architecture Our stack includes Python, FastAPI, postgres, Kafka and MQTT Worked with IoT or Edge-oriented architectures Experience or knowledge in retail POS, inventory, or loyalty systems If you're excited by the idea of shaping the future of retail and eager to make a real impact from day one, we'd love to hear from you.