326 to 350 of 13,823 Python Jobs in London

practical experience). - 1-2 years of experience in back-end development or related field, with a focus on server-side technologies. - Strong knowledge of programming languages such as Python, Java, or Node.js, and experience with back-end frameworks. - Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions. - Understanding of RESTful APIs, microservices architecture More ❯

each other respectfully is encouraged. Ability to comply with the firm's return-to-office policies. Minimum qualification, capabilities, and skills: Proficiency in multiple programming languages (i.e., Java and Python). Experience in developing micro-services using Java and modern frameworks (Spring Boot). Experience designing and implementing RESTful APIs and web technologies (GraphQL). A working knowledge of relational More ❯

including compute, storage, networking, and security components. Strong experience with infrastructure as code tools such as Terraform, CloudFormation, or similar. Proficiency in scripting and automation using languages such as Python or Bash. In-depth understanding of cloud security best practices and compliance frameworks. Experience with CI/CD pipelines and DevOps practices. Excellent problem-solving skills and the ability to More ❯

with at least 3 years in a senior or technical lead role. Proven expertise in full-stack development using: TypeScript (and JavaScript frameworks such as NextJS, Node, or Tailwind) Python (including frameworks like Django, Flask, or FastAPI) PostgreSQL and relational database design, optimization, and maintenance. AI Development Tools such as Windsurf, Aider or Augment. Demonstrable experience building and scaling SaaS More ❯

with at least 3 years in a senior or technical lead role. Proven expertise in full-stack development using: TypeScript (and JavaScript frameworks such as NextJS, Node, or Tailwind) Python (including frameworks like Django, Flask, or FastAPI) PostgreSQL and relational database design, optimization, and maintenance. AI Development Tools such as Windsurf, Aider or Augment. Demonstrable experience building and scaling SaaS More ❯

with at least 3 years in a senior or technical lead role. Proven expertise in full-stack development using: TypeScript (and JavaScript frameworks such as NextJS, Node, or Tailwind) Python (including frameworks like Django, Flask, or FastAPI) PostgreSQL and relational database design, optimization, and maintenance. AI Development Tools such as Windsurf, Aider or Augment. Demonstrable experience building and scaling SaaS More ❯

typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong More ❯

role in .Net and C# or Java or similar OO development language. Proficiency in C# or Java or another OO development language – alongside knowledge of scripting languages like Bash, Python or PowerShell Production experience operating containerization technologies - ideally with Kubernetes and/or Docker. Proficiency with one or more public cloud providers such as Azure, AWS or GCP Proficiency using More ❯

with at least 3 years in a senior or technical lead role. Proven expertise in full-stack development using: TypeScript (and JavaScript frameworks such as NextJS, Node, or Tailwind) Python (including frameworks like Django, Flask, or FastAPI) PostgreSQL and relational database design, optimization, and maintenance. AI Development Tools such as Windsurf, Aider or Augment. Demonstrable experience building and scaling SaaS More ❯

Databricks (PySpark, SQL, Delta Lake, Unity Catalog); Extensive ETL/ELT and data pipeline orchestration experience (e.g., Databricks Workflows, DLT, Airflow, ADF, Glue, Step Functions); Proficiency in SQL and Python for data transformation and optimization; Knowledge of CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, Bicep); Hands-on experience with Databricks integration with BI tools (Power BI, Tableau More ❯

CD pipelines and tools (e.g., Github CI, GitLab CI, CircleCI, Jenkins). Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Strong scripting skills (e.g., Bash, Python) for automation tasks. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Experience Experience with other cloud platforms (e.g GCP, Azure). Knowledge of security More ❯

the business. We'd love to hear from you if you: Have at least 4 years of professional experience as a backend/platform engineer Have deep expertise in Python and building reliable data-focused backend services Have hands-on experience with cloud infrastructure (GCP/AWS/Azure), infrastructure-as-code (Terraform), containerisation (Docker/k8s) and data pipelines More ❯

performance tuning while mentoring junior engineers in the London hub. Contribute to infrastructure roadmap, capacity planning, and cost optimisation initiatives. Minimum Qualifications Proficiency in at least one programming language ( Python, Go, or C++ ). 5+ years in DevOps/SRE/Infrastructure Engineering, delivering mission‐critical systems in production. Deep expertise with AWS or Azure , Kubernetes , Docker/OCI , and More ❯

Ideal Candidate We'd love to hear from you if you: Have at least 4 years of professional experience as a backend/platform engineer. Have deep expertise in Python and building reliable data-focused backend services. Have hands-on experience with cloud infrastructure (GCP/AWS/Azure), infrastructure-as-code (Terraform), containerisation (Docker/k8s), and data pipelines More ❯

systems capable of handling high loads, Excellent problem-solving and troubleshooting skills, combined with effective communication abilities to articulate technical concepts, Proficiency in at least one programming language (e.g., Python, Node.JS, Go) with a focus on automation and scripting, Strong Linux experience and sound understanding of core networking and best security principles, Hands-on experience designing and managing CI/ More ❯

and Infrastructure-as-Code (e.g., Terraform, CloudFormation). Familiarity with modern data stack components (e.g., dbt, Snowflake, Airbyte). Experience working in an Agile/Scrum environment. Knowledge of Python or Java/Scala for data engineering. Experience with version control systems (eg Git, CVS). Applicants will be required to obtain SC and therefore 5 year's UK address More ❯

scheduling platforms Experience in cloud platforms (GCP preferred, but AWS or Azure accepted) Knowledge of applicable audit controls and applicability to IAM services architecture, design, and processes Proficiency in Python, Bash, Go, Perl, PowerShell, and Ruby are a plus Hands on experience with CyberArk and personal password managers are a plus Experience in working within an a Scaled Agile Framework More ❯

in a data science or machine learning-focused role. Technical Skills Expertise in designing and deploying ML algorithms, AutoML tools, and AI applications. Proficiency with programming languages such as Python and R, and ML libraries (TensorFlow, PyTorch, scikit-learn). Hands-on experience with cloud platforms (Azure ML) and big data ecosystems (e.g., Hadoop, Spark). Strong understanding of CI More ❯

experience. OR Doctorate in a related field. OR equivalent experience. Minimum 3 years experience with databases, e.g., Kusto. Preferred Qualifications: Minimum 2 years experience in scripting languages (e.g., Bash, Python). Minimum 2 years experience with general-purpose programming languages (e.g., Go, Ruby). Minimum 3 years experience with cloud environments and/or CNCF concepts. Proficiency with machine learning More ❯

Architecture (associate or Professional) or DevOps Professional, or GCP equivalents. Terraform/OpenTofu Docker and Kubernetes, preferably with Certified Kubernetes Administrator (CKA) Ansible, Puppet or Chef Strong skills in Python and/or Golang Bash scripting CI/CD with GitHub Actions, CircleCI or Jenkins Database, at least one of each SQL (preferably PostgreSQL) and NoSQL Thorough understanding of networking More ❯

large language models (LLMs) and prompt engineering. Experience in designing and developing AI systems, including machine learning, deep learning, and neural networks. Strong programming skills in languages such as Python, R, or Java. Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or Keras. Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying More ❯

MSc in Computer Science Minimum of 8 years of experience in backend and infrastructure development. At least 3 years of hands-on experience with one of the following languages: Python, Go, Rust, Java, C, C#, C++. Experience in large-scale production microservices environments and devops operations Deep understanding of distributed systems and microservices architectures. Proficiency with cloud platforms such as More ❯

degree in Computer Science, Mathematics, Physics, or a related field. Extensive experience in building machine learning models for tasks like recommendations, segmentation, forecasting, and optimising marketing spend. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, PyTorch, and more. Experience with A/B testing and other experimentation methods to validate model More ❯

practical experience). 1-2 years of experience in back-end development or related field, with a focus on server-side technologies. Strong knowledge of programming languages such as Python, Java, or Node.js, and experience with back-end frameworks. Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions. Understanding of RESTful APIs, microservices architecture More ❯

lifecycle in production environments. • Solid experience with cloud-native architecture (AWS, GCP or Azure), containerisation (e.g. Docker, Kubernetes), and big data processing frameworks (e.g. Spark, BigQuery). • Expertise in Python and SQL, with working knowledge of ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Demonstrated ability to lead through ambiguity and complexity, making pragmatic and scalable technical decisions. • Excellent More ❯