17 of 17 Celery Jobs in London

mostly work with Python and Django on an increasingly more service-oriented architecture. The rest of the tech stack include Django REST Framework, PostgreSQL, AWS, React.js, Kubernetes, Docker, Redis, Celery, Pandas, Numpy, Git, Jenkins. We have a very large but clean code base as we put significant emphasis on design patterns, code readability, automated testing, maintainability and extendability. Responsibilities More ❯

with Google Analytics, Mixpanel, Segment, or other event tracking tools . Knowledge of AI/ML models for marketing insights and predictive analytics . Familiarity with Redis, Huey (or Celery) for background task processing . Experience with Stripe, Google Pay for Passes, Apple Wallet, APNS . More ❯

with Google Analytics, Mixpanel, Segment, or other event tracking tools . Knowledge of AI/ML models for marketing insights and predictive analytics . Familiarity with Redis, Huey (or Celery) for background task processing . Experience with Stripe, Google Pay for Passes, Apple Wallet, APNS . More ❯

network-centric systems, and mentor the wider engineering team as we grow. Key responsibilities: Architect, build & implement scalable features in our React frontend and Node.js/Python backend (FastAPI, Celery) Design integrations with network devices, IPAM, monitoring platforms, Wi-Fi authentication systems, CRMs and partnered PropTech tools Continually hone and perfect our homegrown DevOps and CI/CD processes … 5+ years hands-on as a full stack engineer in a SaaS environment Expert in React (hooks, state management, performance) Strong backend skills in Node.js (Express) and Python (FastAPI, Celery) Deep familiarity with Microsoft Azure (App Services, Functions, networking) Proven experience working with network-focused systems (SNMP, IPAM, CLI automation) Solid understanding of Auth0 (or similar OAuth/OIDC More ❯

network-centric systems, and mentor the wider engineering team as we grow. ‍ Key responsibilities: Architect, build & implement scalable features in our React frontend and Node.js/Python backend (FastAPI, Celery) Design integrations with network devices, IPAM, monitoring platforms, Wi-Fi authentication systems, CRMs and partnered PropTech tools Continually hone and perfect our homegrown DevOps and CI/CD processes … 5+ years hands-on as a full stack engineer in a SaaS environment Expert in React (hooks, state management, performance) Strong backend skills in Node.js (Express) and Python (FastAPI, Celery) Deep familiarity with Microsoft Azure (App Services, Functions, networking) Proven experience working with network-focused systems (SNMP, IPAM, CLI automation) Solid understanding of Auth0 (or similar OAuth/OIDC More ❯

network-centric systems, and mentor the wider engineering team as we grow. Key responsibilities: • Architect, build & implement scalable features in our React frontend and Node.js/Python backend (FastAPI, Celery) • Design integrations with network devices, IPAM, monitoring platforms, Wi-Fi authentication systems, CRMs and partnered PropTech tools • Continually hone and perfect our homegrown DevOps and CI/CD processes … robust technical solutions. The right candidate: • Has 5+ years hands-on as a full stack engineer in a SaaS environment • Strong backend skills in Node.js (Express) and Python (FastAPI, Celery) • Deep familiarity with Microsoft Azure (App Services, Functions, networking) • Proven experience working with network-focused systems (SNMP, IPAM, CLI automation) • Solid understanding of Auth0 (or similar OAuth/OIDC More ❯

Infrastructure: Amazon Web Services; Kubernetes; GitOps (ArgoCD), Github Actions Backend: Language: Python; Web Frameworks: Python frameworks including Django, Fast API; Databases: PostgreSQL, MongoDB, ElasticSearch, and Redis among others; Other: Celery, RabbitMQ, among others. Frontend: Javascript & Vue.JS Apply on our Careers Page If you are a fit for this role and are excited to join Manatal, please follow this link More ❯

Infrastructure: Amazon Web Services; Kubernetes; GitOps (ArgoCD), Github Actions Backend: Language: Python; Web Frameworks: Python frameworks including Django, Fast API; Databases: PostgreSQL, MongoDB, ElasticSearch, and Redis among others; Other: Celery, RabbitMQ, among others. Frontend: Javascript & Vue.JS Apply on our Careers Page If you are a fit for this role and are excited to join Manatal, please follow this link More ❯

Infrastructure: Amazon Web Services; Kubernetes; GitOps (ArgoCD), Github Actions Backend: Language: Python; Web Frameworks: Python frameworks including Django, Fast API; Databases: PostgreSQL, MongoDB, ElasticSearch, and Redis among others; Other: Celery, RabbitMQ, among others. Frontend: Javascript & Vue.JS Apply on our Careers Page If you are a fit for this role and are excited to join Manatal, please follow this link More ❯

platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating authentication and authorisation systems (e.g., OAuth2, JWT) Success Metrics Deploy secure, scalable, and More ❯

platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating authentication and authorisation systems (e.g., OAuth2, JWT) Success Metrics Deploy secure, scalable, and More ❯

+ equity (further flexibility for exceptional candidates) 🏙Working Arrangement: Hybrid (3 days in office), London 📝 Employment Type: Permanent ✅ Core Tech : Python, PostgreSQL, AWS ☑ Other Tech: BigQuery, pub/sub, Celery, Redis, RabbitMQ, Typescript, React ⚠ Opportunity to scale an innovative ML learning product to meet growing customer demand ⚠ We've recently partnered with an incredibly exciting London-based start-up More ❯

+ equity (further flexibility for exceptional candidates) 🏙Working Arrangement: Hybrid (3 days in office), London 📝 Employment Type: Permanent ✅ Core Tech : Python, PostgreSQL, AWS ☑ Other Tech: BigQuery, pub/sub, Celery, Redis, RabbitMQ, Typescript, React ⚠ Opportunity to scale an innovative ML learning product to meet growing customer demand ⚠ We've recently partnered with an incredibly exciting London-based start-up More ❯

+ equity (further flexibility for exceptional candidates) Working Arrangement: Hybrid (3 days in office), London Employment Type: Permanent ✅ Core Tech : Python, PostgreSQL, AWS ☑ Other Tech: BigQuery, pub/sub, Celery, Redis, RabbitMQ, Typescript, React ⚠ Opportunity to scale an innovative ML learning product to meet growing customer demand ⚠ We've recently partnered with an incredibly exciting London-based start-up More ❯

in instrumentation, observability and monitoring. Experience with container and orchestration technologies and relevant security considerations.We often use Kubernetes and EKS. Expertise in Relational and non-relational databases. Experience in Celery, EventBridge, SQS and SNS. Experience in Unity Framework, Generative AI. It Pays to Work Here We take a holistic approach to compensation at Gemini, which includes: Competitive Compensation Long More ❯

securing series A funding late this year. They code in Python, and React on the Frontend. Tech & Data Science stack: Kubernetes & Docker on Google Cloud Python 3: Pandas, RabbitMQ, Celery, Flask, SciPy, NumPy, Dash, Plotly, Matplotlib Javascript, React, Redux PostgreSQL, Redis Prometheus, Alert Manager, DataDog If you joined the company in a Data Science role you would be working More ❯

or adapt quickly to highly complex issues What we would like to see from you Experience with Python A keen interest in backend development Understanding of distributed systems (RabbitMQ, Celery, Redis, Memcached) Good knowledge of scientific libraries such as Numpy and Pandas Extensive usage of MongoDB, BigQuery, data visualisation and manipulation tools Experience with designing, training, evaluating machine learning More ❯