Top Python Jobs in London

As a Big Data Solutions Architect at Databricks, you will work with clients on big data challenges, provide data engineering, data science, and cloud technology projects, guide strategic customers on big data projects, consult on architecture, and provide support for customer issues.

Seeking a Data Engineer to design, develop, and maintain data solutions for analytics and business purposes. Responsibilities include data integration, processing, retrieval, and transformation to enable valuable insights for decision-making. The role requires collaboration with cross-functional teams to enhance data solutions leveraging modern tech stack.

Lead engineering teams to build next-generation financial tools and products. Ensure effective communication and architectural decisions. Embrace DevOps culture and focus on business impact. Collaborate cross-functionally and prioritize simplicity in solutions.

Customer Solutions Engineers at Dow Jones drive technical integrations for prospects, customers, and partners, guiding them in utilizing Dow Jones data and services. They design solutions, provide implementation guidance, and stay updated on emerging technologies to enhance customer experience.

Abnormal Security is seeking a Senior Full Stack Engineer to join the Behavioral Security Products team. Responsibilities include improving existing features, collaborating with cross-functional teams, owning testing and development, and more.

Join Smarkets as a DevOps Engineer and play a pivotal role in shaping the future of their betting trading technology landscape. Responsible for maintaining and fortifying the backbone of real-time distributed exchange systems.

We are looking for a Software Engineer to guide customers with technical onboarding and product adoption. You will build features, provide technical guidance, troubleshoot issues, collaborate with teams, contribute to documentation, and maintain communication with key customers.

Senior/Staff Backend Engineer responsible for developing backend services and web applications, working in a collaborative team environment, and staying updated with new technologies to improve performance and reliability.

Seeking a Senior Cloud Operations Engineer to lead automation development using Python, Pulumi, Terraform, and Ansible for the Centric C8 cloud application. Responsibilities include advanced automation development, infrastructure as code mastery, Ansible integration, Python programming, cloud infrastructure management, process automation, collaborative development, documentation, and advocacy. Qualifications include a Bachelor’s Degree in Computer Science or related field, 8+ years of experience in cloud operations, and 5+ years in incident response.

Seeking a Senior Fullstack Engineer to join a startup in Amsterdam, developing a complex line-of-business application for the airline industry with multidimensional analysis, machine-learning forecasts, and analyst workflows. Responsibilities include shipping new features, developing scalable solutions, and collaborating with team members. Qualifications include a degree in Computer Science or related field, 5+ years of relevant experience, expertise in software design, Python, JavaScript, REST API, SQL, and strong communication skills. Preferred qualifications include experience with data pipelines, Docker, Kubernetes, CI/CD, and Google Cloud Platform. Offering regular employment contract, equity, flexible hours, and other amenities.

Looking for a Senior Platform Engineer to join a team designing and building analytics platforms for health research initiatives. Responsibilities include platform architecture design, collaborating with cross-functional teams, working on data pipelines, and supporting production systems at scale. Must have experience with cloud DevOps, Python coding, Kubernetes, Docker, and software engineering best practices.

Software Engineer - MLOps role at Dataiku focusing on developing MLOps features and capabilities, automating ML model retraining, tuning, monitoring, deployment, and collaboration among stakeholders. Tech stack includes Java, Python, Scala, JavaScript, and Angular.

As a Software Developer Engineer in Test (SDET) at Dataiku, you will play a crucial role in ensuring the delivery of high-quality products to customers. Responsibilities include coding advanced automated test suites, defining testing plans and strategies, collaborating with developers, and improving test infrastructure. Experience in software test engineering with automation, object-oriented languages, and collaboration with developers is required.

Seeking a Software Engineer Full Stack with a passion for AI and advanced programming to create user-centric, AI-driven applications at Dataiku. Proficiency in Python and Vue.js is required, along with curiosity about LLMs and cutting-edge agent technologies. Responsibilities include working closely with industry specialists, designing and developing solutions, supporting data scientists, and contributing to the team's roadmap.

Dataiku is seeking a talented full-stack software engineer to work on the Data analytics part of Dataiku and other core features of the platform. The position involves developing Dataiku's features and capabilities for self-service analytics teams, focusing on data integration, data preparation, data cataloging, Jupyter notebooks, and automation.

Senior Data Consultant role at Telefónica Tech focusing on delivering enterprise-level applications in Business Intelligence and Data Analytics. Responsibilities include working on Microsoft Azure and SQL Data Analytics projects, satisfying customer requirements, and supporting internal and external communities. Qualifications include industry experience in delivering Microsoft Azure/SQL solutions, strong communication skills, and willingness to learn new technologies. Technical skills required in SQL Server, Data Analytics stack, Power BI, Azure Data Lakes, Azure ML, .Net, HTML5, Azure infrastructure, R, and Python.

Looking for a Senior Fullstack Engineer to work on developing and scaling the Lightning AI platform from the frontend, CLI, and API to billing, security, and integrations. Opportunity to create groundbreaking technology that will transform the machine-learning ecosystem.