151 to 175 of 1,054 Python Jobs in London

including appropriate automated test suites, technical documentation, and operational strategy. Reuse modular code and develop microservices to drive efficiencies. Experience Required: Cloud: GCP Programming: Python , Java or Scala Infrastructure as code: Terraform Containerisation: Kubernetes Package on offer: Up to £90,000 basic + £6,000 cash allowance 18% annual bonus ...

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 ...

valuable, GCP expertise is primary.) Distributed Streaming: Strong familiarity with distributed streaming technologies, such as Kafka or similar platforms. Programming & Scripting: Expert proficiency in Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory ...

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 ...

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 ...

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 ...

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 ...

experience with cloud data platforms and data warehousing , including strong development experience using Microsoft Azure and Microsoft Fabric . Strong technical proficiency in SQL, Python , and modern data modelling techniques. Solid understanding of data governance, security, compliance , and best practices for managing enterprise data assets. Experience with master data management ...

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. ...

diving into complex source code audits to reveal subtle security vulnerabilities Writing new tools such as fuzzers in languages such as C/C++, Python, Ruby, Go or Java, Tearing apart an undocumented file format or network protocol Coming up with novel techniques to solve unique and interesting security problems ...

Python Developer Software Engineer (Python SQL Automation) London/WFH to £70k Are you a technologist Python Developer looking to work on complex and interesting systems whilst continually learning and progressing your career in a diverse, supportive environment of innovation that empowers individuals to succeed? You could be joining … technology company that is producing game changing products using AI and parallel processing for data, video, imaging and point cloud compression. As a Python Developer you'll join an Agile team responsible for developing and maintaining new features and integrations for the Visual Quality test framework to ensure the quality ...

hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector databases Experience designing or implementing multi-agent systems or tool-calling frameworks Strong Python skills with experience building production-grade systems Experience working across at least one major cloud AI ecosystem (e.g. Azure/OpenAI, GCP/Vertex ...

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 ...

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 ...

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 ...

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 ...