101 to 125 of 946 Python Jobs in London

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) Worked with a variety of storage technologies (eg. Postgres, Mongo, Redis, Object) Experience with async and bi-directional communication ...

data and cloud technologies . You will be utilising and playing with tools across the entire data ecosystem. 🚀Essential tech skills include proficiency in Python, Spark, and Airflow , alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery . 🚀Familiarity with data transformation and infrastructure as code tools ...

Excellent communication skills for interacting with technical and non-technical stakeholders. Desirable: Experience with Infrastructure as Code (Terraform), CI/CD pipelines, and scripting (Python, Bash, Perl). Strong understanding of cloud security best practices and tools. Hands-on experience with networking across cloud and on-premise systems (TCP/ ...

Data Engineer, Analytics Engineer or Technical Success/Customer Engineering role within a Data product or SaaS company You have indepth technical knowledge of Python for data workflows, SQL and Data Modelling, DBT, Cloud platforms (AWS, GCP or Azure), Workflow Orchestration tools (e.g. Airflow, Dagster, Prefect, DBT Cloud), CI/ ...

databases including designing data models and entirety relationship diagrams (ERDs) for business use cases. Visual Studio 2015+ desirable Proficiency in Vue.js and/or Python desirable Azure DevOps desirable. 1-2 years relevant industry experience Bachelor's or Master's degree in software Engineering, Computer Science or equivalent Please ...

Terraform, CloudFormation, Pulumi), configuration management, and CI/CD pipelines (GitHub Actions). Programming proficiency: Strong development skills in one or more of: Python, Go, Java, C#; ability to write production-quality automation scripts and tools. Developer enablement: Experience building internal tools, libraries and documentation for engineering teams. Legacy migration ...

images, audio, graphs, time series, and tabular data. Several years' experience as a data scientist in industry or related environments. Proficiency in Python and common ML/data libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers). Understanding of software and ML engineering best practices (git, package development, model deployment ...

data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, scripting, and automation). Data Streaming: Familiarity with streaming data technologies (e.g., Kinesis, Kafka, or similar). DevOps Principles: Experience ...

Decho Lab’s innovation culture. What We’re Looking For 5+ years of experience in software/data engineering with proven expertise in Python, SQL, and TypeScript. Ideally experience with Palantir technologies (Foundry, Gotham, or similar platforms). Advanced knowledge of data engineering, ETL pipelines, and workflow design at enterprise ...

Java, SQL, Search Technologies, Messaging Technologies with a good understanding of Kubernetes, Dockers and preferably some exposure to GCP (Google Cloud Platform), ReactJS, Python, Big Data Technologies like Spark, Beam Excellent personal organisation, completer/finisher, consensus builder with excellent communication skills and able to lead global development teams both ...

related technical field. · 2–3 years of experience in data science, data analytics, or applied AI/ML engineering. · Strong programming skills in Python, ideally with ML libraries (NumPy, pandas, SciKit-Learn, TensorFlow, or PyTorch). · Experience with GIS tools (ArcGIS, QGIS) and geospatial data formats. · Solid understanding of machine ...

Physics, Computer Science). 4-5 years' experience in ML/AI engineering or data science roles (senior level). Hands-on experience with Python ML frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost). Experience with AWS ML services (SageMaker, Lambda, S3) and MLOps/LLMOps tooling (MLflow, Weights & Biases ...

years building production backend systems (at least 3 years in high-scale or low-latency environments). Proficiency in one or more: Java/Python/C Rust/Go Strong preference for Java for control-plane/services. Strong systems design skills: concurrency, memory management, performance tuning, API design ...

relationships with clients as a technical advisor. Key Requirements: Proven experience as a Full Stack Data Engineer or similar engineering role. Strong skills in Python, SQL, and TypeScript. Experience with Palantir Foundry, Gotham, or comparable data platforms (preferred). Solid understanding of data engineering, ETL pipelines, and workflow orchestration. Interest ...

Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in the likes of Python, Pyspark, SQL, Scala or Java. Experience operating in a cloud-native environment such as Azure, AWS, GCP etc ( Fabric experience would be beneficial ...

Proficiency in Prometheus, Grafana, and Dynatrace. •Strong knowledge of API design, data modelling, and pipelines. •Experience with automation, monitoring platforms, and scripting languages (e.g., Python, PowerShell, Bash, Terraform and Ansible) to enhance operational efficiency. •Strong communication and collaboration skills, with a track record of working effectively across technical ...

tested code Required Experience 2–5 years of professional software engineering experience, ideally working on backend systems, APIs, or AI-related products Proficiency in Python and JavaScript/TypeScript (Node.js) Strong understanding of backend architectures, REST/GraphQL APIs, and data modelling Experience with containerisation (Docker) and cloud platforms ...

Experience Experience in software quality assurance and test automation, specifically in finance applications. Proficiency in at least two of the following programming languages: Java, Python, or C#. Strong understanding of software testing principles and hands-on experience with automation frameworks (e.g., Selenium, Cucumber, TestNG). Experience in CI/ ...

availability with multi-AZ/multi-region patterns , meeting defined RPO/RTO targets. Hands-On Engineering Write and review production-grade code using: Python, Scala, SQL Spark/AWS Glue AWS Lambda & Step Functions Build infrastructure using Terraform (IaC) . Implement CI/CD pipelines (GitLab, Jenkins). Enforce ...

Engineering will own development strategy and execution and lead the architectural evolution as scale increases. Current Stack Frontend: Next.js, TypeScript, Tailwind CSS Backend & APIs: Python (Quart/Flask) Infrastructure: PostgreSQL, Docker containerisation, Azure Delivery Operations: CI/CD automation, Git-based workflow, Agile execution Responsibilities Build and Lead the Engineering ...

familiarity with cloud platforms (including Azure, AWS and multi-cloud), automation tooling, Terraform, CI/CD pipelines, GitHub, and security-focused scripting such as Python or JavaScript. Desirable Attributes Experience contributing to or defining AI-related security strategies, including risk assessment and regulatory interpretation. Background developing reusable or exemplar operating ...

building and deploying Generative AI or LLM-based systems at scale. Proficiency in at least two programming languages such as Java, .NET, TypeScript, or Python, along with experience in modern frontend frameworks like React.js or Stencil. Deep understanding of authorization and authentication standards (OAuth) and secure-by-design development practices. ...

Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in one the programming languages, such as Python, Java, Scala, C++, etc. Experience with distributed computing frameworks such as Ray, Spark, and MapReduce. Attention to detail and a strong commitment to data integrity. ...

foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization. Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language) and in building data pipelines … Biases), model versioning, and performance monitoring. Experience collaborating with engineering teams to ensure scalable and maintainable deployment. Backend & service development: Experience building production-grade Python webservices (e.g., FastAPI, Flask), developing APIs, and integrating ML components into broader systems. Software engineering practices: Comfortable with testing, code reviews, CI/CD pipelines ...

applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building … price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step ...