326 to 350 of 1,669 Python Jobs in the City of London

code, cloud infrastructure, and strong security practices is essential. Senior Platform Engineer – Key Skills & Experience: Solid background in software engineering, with significant platform or backend experience Proficiency in Go, Python, or Java for building internal tools and services Strong expertise in AWS, including CloudFront and related web application services Hands-on experience with CI/CD pipelines and modern deployment More ❯

planning, and story refinement. Required Skills & Experience: • Strong experience in data analysis, data reconciliation, and data testing. • Hands-on experience with SQL and at least one scripting language (e.g. Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). More ❯

Master’s degree in Computer Science , Engineering , Financial Mathematics , or a similar quantitative field. 2–5 years’ experience in a software development or quantitative role. Strong programming skills in Python, C, C++, SQL , and/or C# . Solid understanding of Linux systems. Nice-to-haves Familiarity with TypeScript, React, and SASS/SCSS is a plus. Understanding of financial More ❯

planning, and story refinement. Required Skills & Experience: • Strong experience in data analysis, data reconciliation, and data testing. • Hands-on experience with SQL and at least one scripting language (e.g. Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). More ❯

opportunities And More.. LEAD DATA ENGINEER – ESSTENTIAL SKILLS Proven experience as a Senior or Lead Data Engineer in a fast-scaling tech or data-driven environment Strong proficiency in Python (or Scala/Java) and SQL Deep experience with data pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing More ❯

Master’s degree in Computer Science , Engineering , Financial Mathematics , or a similar quantitative field. 2–5 years’ experience in a software development or quantitative role. Strong programming skills in Python, C, C++, SQL , and/or C# . Solid understanding of Linux systems. Nice-to-haves Familiarity with TypeScript, React, and SASS/SCSS is a plus. Understanding of financial More ❯

opportunities And More.. LEAD DATA ENGINEER – ESSTENTIAL SKILLS Proven experience as a Senior or Lead Data Engineer in a fast-scaling tech or data-driven environment Strong proficiency in Python (or Scala/Java) and SQL Deep experience with data pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing More ❯

Snowflake. Recognised Snowflake certifications (SnowPro Core, SnowPro Advanced: Architect/Data Engineer). Experience optimising Snowflake performance and cost. Solid understanding of software engineering lifecycles and modern development practices (Python or similar). Experience leading multidisciplinary data teams in consulting or enterprise environments. Excellent communication skills with technical and non-technical stakeholders. Desirable: Experience with other modern data platforms (Databricks More ❯

infrastructure to reduce time-to-insight and enhance operational scale. Required Skills: 5+ years of experience building production-grade data systems, ideally in a scientific or financial setting. Strong Python skills and deep understanding of system architecture and cloud-native development (AWS). Experience with weather/climate datasets (e.g., GRIB, NetCDF, HDF5) and sources like NOAA, ECMWF, GFS. Solid More ❯

infrastructure to reduce time-to-insight and enhance operational scale. Required Skills: 5+ years of experience building production-grade data systems, ideally in a scientific or financial setting. Strong Python skills and deep understanding of system architecture and cloud-native development (AWS). Experience with weather/climate datasets (e.g., GRIB, NetCDF, HDF5) and sources like NOAA, ECMWF, GFS. Solid More ❯

Snowflake. Recognised Snowflake certifications (SnowPro Core, SnowPro Advanced: Architect/Data Engineer). Experience optimising Snowflake performance and cost. Solid understanding of software engineering lifecycles and modern development practices (Python or similar). Experience leading multidisciplinary data teams in consulting or enterprise environments. Excellent communication skills with technical and non-technical stakeholders. Desirable: Experience with other modern data platforms (Databricks More ❯

with strong understanding of modern ML architectures, model training, and deployment techniques. 7+ years’ experience in applied ML, data science, or AI, including senior or leadership roles. Expert in Python, proficient with frameworks such as PyTorch, TensorFlow, FastAI, and experience with scikit-learn, MLflow, or ONNX. Solid engineering background—experienced in deploying and maintaining ML systems on Azure, including Azure More ❯

architectural decisions and help shape the technical direction of the platform. Skills & Experience 3+ years of professional experience building full-stack applications at scale. Strong backend development skills in Python or Go, with experience designing APIs and working with databases such as PostgreSQL and Redis. Proven experience with React and TypeScript, including component libraries and data-fetching tools like react More ❯

with strong understanding of modern ML architectures, model training, and deployment techniques. 7+ years’ experience in applied ML, data science, or AI, including senior or leadership roles. Expert in Python, proficient with frameworks such as PyTorch, TensorFlow, FastAI, and experience with scikit-learn, MLflow, or ONNX. Solid engineering background—experienced in deploying and maintaining ML systems on Azure, including Azure More ❯

architectural decisions and help shape the technical direction of the platform. Skills & Experience 3+ years of professional experience building full-stack applications at scale. Strong backend development skills in Python or Go, with experience designing APIs and working with databases such as PostgreSQL and Redis. Proven experience with React and TypeScript, including component libraries and data-fetching tools like react More ❯

as an Application Support/DevOps or SRE Role (preferably with in Trading & Risk Management systems ) Experience communicating to customers as well as to sr. software engineers Experience with Python, PostgresSQL and Unix Experience with writing intermediate to advanced SQL queries for data extraction and troubleshooting purposes. Experience with using and troubleshooting programming interfaces especially REST APIs and Web Sockets. More ❯

fast, validate assumptions, and iterate Lay the groundwork for the future engineering team (tooling, processes, and architecture) ✅ Core Technical Requirements Proficient in one or more modern backend languages (e.g. Python, Go, TypeScript, Java, Rust) Strong systems design skills — you can model real-world systems and reason about scale, latency, and trade-offs Comfortable building from zero — greenfield work doesn’t More ❯

Terraform or CloudFormation for infrastructure as code Docker and Kubernetes CI/CD pipelines with GitHub Actions Monitoring, logging, and incident response Software and Frameworks React, Node, Next.js, and Python RESTful API design and automation SaaS integrations and workflow scripting Data and Platforms Salesforce, Google Workspace, Jira, and Confluence Databases such as DynamoDB, MongoDB, and RDS Security and Identity Okta More ❯

as an Application Support/DevOps or SRE Role (preferably with in Trading & Risk Management systems ) Experience communicating to customers as well as to sr. software engineers Experience with Python, PostgresSQL and Unix Experience with writing intermediate to advanced SQL queries for data extraction and troubleshooting purposes. Experience with using and troubleshooting programming interfaces especially REST APIs and Web Sockets. More ❯

STEM field. 5+ years of hands-on experience in data science and AI engineering. Proven track record of delivering AI software and deploying solutions in production. Strong proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Keras, Numpy, Pandas, Langchain, Pinecone, and more. Experience with cloud platforms and compute systems for model training and deployment. Excellent communication and More ❯

Terraform or CloudFormation for infrastructure as code Docker and Kubernetes CI/CD pipelines with GitHub Actions Monitoring, logging, and incident response Software and Frameworks React, Node, Next.js, and Python RESTful API design and automation SaaS integrations and workflow scripting Data and Platforms Salesforce, Google Workspace, Jira, and Confluence Databases such as DynamoDB, MongoDB, and RDS Security and Identity Okta More ❯

fast, validate assumptions, and iterate Lay the groundwork for the future engineering team (tooling, processes, and architecture) ✅ Core Technical Requirements Proficient in one or more modern backend languages (e.g. Python, Go, TypeScript, Java, Rust) Strong systems design skills — you can model real-world systems and reason about scale, latency, and trade-offs Comfortable building from zero — greenfield work doesn’t More ❯

STEM field. 5+ years of hands-on experience in data science and AI engineering. Proven track record of delivering AI software and deploying solutions in production. Strong proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Keras, Numpy, Pandas, Langchain, Pinecone, and more. Experience with cloud platforms and compute systems for model training and deployment. Excellent communication and More ❯

Theyre Looking For 8+ years of professional Core Java development experience Strong knowledge of data structures and algorithms Hands-on experience with SQL and at least one scripting language (Python, Perl, Shell etc.) Solid understanding of network programming fundamentals Degree in Computer Science, Engineering, or related STEM field Experience leading and mentoring engineers in collaborative teams Excellent communication skills and More ❯

RBAC/ABAC/PBAC Solid understanding of security principles and architecture, particularly for databases and APIs Understanding of Platform & Configuration Security, and Platform Monitoring, Response and Governance Scripting (Python, Bash) for task automation Terraform Understanding of security threats like DDoS, brute force, exfiltration, spoofing, and other relevant threats 3 years of hands-on experience in platform or infrastructure security More ❯