126 to 150 of 3,104 Python Jobs in London

or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version control systems like Git. • Familiarity with data governance More ❯

or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version control systems like Git. • Familiarity with data governance More ❯

or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version control systems like Git. • Familiarity with data governance More ❯

years previous experience Be a graduate or of graduate calibre, will have a technology background, and hold a formal project management qualification. Technical proficiencies: .NET stack, C#, Python, React, Angular, SQL Experience in CI/CD pipelines, GitHub projects, GitHub Enterprise Server, Azure DevOps, container technologies (Docker, Kubernetes etc.,) and API gateway Proven track record of managing and delivering projects More ❯

data science, machine learning algorithms, and data engineering. Industry experience in consultancy, engineering, or data science. Significant experience with cloud-based infrastructure (e.g., AWS, Azure, GCP). Proficiency in Python and relevant data science libraries. Experience in using CI/CD tooling for code deployment and testing. Knowledge of database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases More ❯

Stay current with industry trends and integrate modern tools into our stack. Must Haves 3+ years in data engineering or related backend/infrastructure role. Strong programming skills in Python or similar languages. Experience with software development lifecycle (SDLC) and CI/CD pipelines. Proven experience building and testing data pipelines in production. Proficiency in Linux. Solid SQL knowledge. Experience More ❯

practices. Stay current with the latest AI and machine learning advancements. What You'll Bring Proven experience in AI and machine learning with a strong project portfolio. Proficiency in Python, R, or Java. Familiarity with AI frameworks and libraries. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Experience with cloud platforms (Azure, AWS, or Google Cloud). More ❯

performance tuning and monitoring tools. Knowledge of containerization and orchestration technologies (Docker, Kubernetes). Familiarity with database security practices and compliance standards. Scripting and automation skills using languages like Python, Bash, JavaScript or similar. Familiarity with version control systems (Git) and CI/CD pipelines. Strong problem-solving skills and the ability to work effectively in a fast-paced environment. More ❯

Lead agile engineering teams across the full SDLC, from ideation to deployment, in a collaborative and high-impact environment. Drive architectural decisions and development best practices across technologies like Python, React, Kubernetes, object storage, Terraform, and both Linux/Windows deployments. Encourage a culture of creative problem-solving, A/B testing of processes, and continuous experimentation to improve team More ❯

Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working More ❯

Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working More ❯

Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working More ❯

Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working More ❯

experience with AI technologies/tools and apply it to user experiences or backend solutions. Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) Back-end technologies like Java, Typescript, Spring, Express (NodeJS) Prior working experience More ❯

work environment as well as in an office. You will need to be comfortable working in a challenging delivery environment with frequent tight deadlines. Beneficial Skills: Azure cloud services. Python, Angular, React. Linux. Docker container experience. Kubernetes. Unit testing, Integration testing. Event-driven, messaging architecture. Azure ESB or AWS SQS. Interested? If you are passionate about leveraging technology to transform More ❯

tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in it for you At Accenture in addition to a competitive basic salary, you will also have an More ❯

tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in it for you At Accenture in addition to a competitive basic salary, you will also have an More ❯

in the data under analysis. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (Python), and from data visualization (e.g. Tableau, PowerBI) to machine learning and cloud experience (Azure, AWS or GCP). Understanding data engineering solutions is a plus. Proven ability to manage projects More ❯

tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in it for you At Accenture in addition to a competitive basic salary, you will also have an More ❯

tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in it for you At Accenture in addition to a competitive basic salary, you will also have an More ❯

following core technology: SAS (SAS EG, SAS DI, SAS Viya). An ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Python, Power BI, Cloud (Azure, AWS, GCP, Snowflake, Databricks). Project lifecycle experience, having played a leading role in the delivery of end-to-end projects, as 14, rue Pergolèse, Paris More ❯

hiring. Experience and qualifications for the Principal Software Engineer & DevOps Lead role Extensive hands-on experience with AWS services and infrastructure-as-code practices. Proficiency in backend development with Python and Node.js, plus frontend skills in TypeScript and React. Solid grounding in database management across both relational and NoSQL environments. Strong knowledge of CI/CD tools such as GitHub More ❯

GitLab CI, Azure DevOps). Excellent communication and stakeholder management skills. Bonus Points for: Previous experience in a consultancy environment . Hands-on coding experience in additional languages like Python, Ruby, Scala, PHP, or C++ . Knowledge of performance testing tools like JMeter, Gatling, K6 or Neoload. What's in It for You? At Ten10, we believe in recognizing and More ❯

for JIRA or similar test management tools Experience with at least one online load testing tool Experience with Selenium, Cypress, JMeter, Playwright, Jenkins, TeamCity, PowerShell, Linux, Postgres, MS SQL, Python, JUnit, JaCoCo, Docker, containerization, and Spring. Our Recruiting Process Interview with recruiter Short online behavioral assessment via Predictive Index Interview with engineering leader Technical interview with engineering team & interview with More ❯

Functions, Azure Logic Apps, Azure Key Vault, and Azure App Services. Troubleshoot and resolve operational issues across Unix/Linux/Windows environments, leveraging scripting languages such as Bash, Python, and PowerShell. Promote a DevOps culture by fostering engineering ownership, encouraging best practices in service reliability, and advocating for continuous improvement. Mentor and guide engineers across multidisciplinary teams, supporting agile More ❯