1 to 25 of 1,192 Python Jobs in London

technologies: HTML, CSS, JavaScript, and front-end frameworks (React must, Angular, Vue.js). Strong back-end development skills: Experience with server-side languages and frameworks (Java and Node.js must, Python, Ruby on Rails). Familiarity with version control systems: Git. Experience with DevOps practices: CI/CD pipelines, containerization (Docker, Kubernetes). Experience with Red Hat Open Shift Excellent problem More ❯

experience in software development. At least 3 years in a system architect or senior developer role. Proven experience leading development teams. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of AI and machine learning concepts. Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with microservices architecture and RESTful APIs. Knowledge of More ❯

in Computer Science or a related field. 7+ years of experience in software development. Work experience using both compiled languages (Rust, OCaml, Golang, Java, C#) or dynamic languages (JavaScript, Python, Ruby). Experience building web applications or desktop applications technologies such as Electron, tauri, React, Vue.js. Familiarity with CI/CD principles and technologies, including experience with GitHub Actions or More ❯

on experience with database performance tuning, security, and backup strategies. Knowledge of infrastructure technologies such as storage, networking, and containerized environments. Experience in database migration, automation, and scripting (PowerShell, Python, or Bash). Ability to work in a fast-paced, enterprise environment with multiple stakeholders. Strong problem-solving and analytical skills. Preferred Qualifications: Advanced degree in Computer Science, Information Technology More ❯

scalability. Collaborative Spirit works fluidly with data scientists, commercial teams, and ops leaders. Hard Skills Required Software Engineering: Strong in at least one modern language (JavaScript/TypeScript, Java, Python) Web & Product Development: Frameworks (React, Node.js, Django/Flask) AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama Agentic AI: Frameworks (langchain, langgraph, Google ADK) AI enabled code tooling: Cursor, Windsurf More ❯

AWS) and on-prem environments. Implement and maintain Infrastructure as Code (e.g. Terraform, Azure ARM/Bicep, AWS CloudFormation, and Ansible). Automate configuration management and routine tasks (e.g. Python, Bash). CI/CD & GitOps Maintain and optimize infrastructure, Pipeline-as-Code and shared libraries (e.g. TeamCity, Jenkins). Implement AI deployments and workflows (e.g. GitOps workflows using ArgoCD More ❯

experience in the following: Strong proficiency in TypeScript and experience with modern front-end frameworks such as React or Vue. Solid experience with back-end development using Typescript/Python frameworks (Flask, FastAPI, or Django is a plus) Understanding of UI/UX principles and ability to create intuitive user experiences Proven ability to work in both rapid prototyping mode More ❯

stack: Terraform, AWS (preferred), Azure, CI/CD You will also bring experience in: 5+ years experience in platform engineering Programming in one or more languages: JavaScript, Java, .Net, Python Experience mentoring, coaching or managing others in the team Designing and building Proof of Concept and Production systems collaboratively Source control (e.g. Git, Mercurial, Perforce) CI/CD tools (e.g. More ❯

stakeholders are treated fairly and with respect. What we're looking for Technology-focused degree preferred, or equivalent demonstrable experience. Extensive knowledge of: JavaScript, TypeScript, NodeJS, AWS SDK & CDK, Python, React, HTML/CSS, Java, Spring, Terraform/CloudFormation Hands-on experience: Building serverless applications in AWS Building microservices in Java (Spring Boot) Strong understanding of clean code principles, design More ❯

while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Solid SQL skills and experience working with relational databases. Exposure to cloud platforms (AWS, GCP, or Azure) would More ❯

while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Solid SQL skills and experience working with relational databases. Exposure to cloud platforms (AWS, GCP, or Azure) would More ❯

with security authentication systems such as LDAP, Active Directory, OAuth2, Kerberos. Excellent Unix/Linux skills. Familiarity with JDBC/ODBC Preferred Skills: Certification: Starburst Certified Practitioner . Experience Python and/or Java programming. Proficient with infrastructure automation tools such as Ansible. Knowledge of data requirements for AI and machine learning workloads. Familiarity with Data Federation and Cached Services More ❯

with security authentication systems such as LDAP, Active Directory, OAuth2, Kerberos. Excellent Unix/Linux skills. Familiarity with JDBC/ODBC Preferred Skills: Certification: Starburst Certified Practitioner . Experience Python and/or Java programming. Proficient with infrastructure automation tools such as Ansible. Knowledge of data requirements for AI and machine learning workloads. Familiarity with Data Federation and Cached Services More ❯

in a SRE/DevOps/Platform Engineering role and having previously worked with.Net, Azure and C# technologies. Proficiency in C# language – alongside knowledge of scripting languages like Bash, Python or PowerShell Production experience operating containerization technologies - ideally with Kubernetes (AKS or EKS) Proficiency with Azure Cloud and also with another public cloud provider such as AWS or GCP Proficiency More ❯

and/or AWS Experience with Infrastructure as Code (Terraform, ARM/BICEP). Proficiency in containerization and orchestration tools (Docker, Kubernetes/EKS). Skilled in scripting languages (Python, Bash, TypeScript, PowerShell). Strong understanding of Linux/UNIX/Windows systems and storage. Experience with monitoring tools (Datadog, Coralogix, CloudWatch, Azure Monitor). Familiarity with SRE and DevOps More ❯

in rapid MVP development and iteration. Data Storyteller makes technical findings accessible and impactful. Connector collaborates seamlessly across data, commercial, and ops teams. Hard Skills Required Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI More ❯

in rapid MVP development and iteration. Data Storyteller makes technical findings accessible and impactful. Connector collaborates seamlessly across data, commercial, and ops teams. Hard Skills Required Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI More ❯

Docker, Kubernetes) is desirable. Experience with unit testing, integration testing, and test automation frameworks (e.g., JUnit, Mockito). Experience working in Agile/Scrum development environments. Practical experience with Python for scripting, automation, or data processing tasks. Experience with CI/CD pipelines and DevOps practices is a plus. Education Bachelor's or Master's degree in Computer Science, Engineering More ❯

delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL More ❯

Designing, developing and maintaining greenfield and existing API and application services. The overwhelming majority of our systems are written in Elixir, but where necessary, we use small amounts of Python and Java where vendor SDKs require it. Designing, developing and maintaining realtime data streaming, and batch processing workloads. Providing on-call support as part of our teamwide rotation. Our on More ❯

is: Do you "use/consume" these technologies, or are you the one that "provides" them to the rest of the organization. What You'll Bring TECHNOLOGIES: Programming Languages: Python Experience with additional programming languages is a plus Additional info BCG offers a comprehensive benefits program, including medical, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental More ❯

SNMP, Syslog, Netflow, Elasticsearch (ELK Stack) and Grafana Strong understanding of network security principles including ACLs, Firewalls, VPN, 802.1x authentication, profiling and RBAC Proficiency in a modern programming language (Python, Golang, Ruby, etc.) Strong knowledge of and experience with cloud platforms (Azure, AWS, GCP) and infrastructure management. Experience managing corporate infrastructure at scale with Infrastructure-as-Code (IaC) practices & GitOps More ❯

tools and services and implement optimisations to improve build times, system uptime, and deployment frequency. Preferred Skills and Experience: Programming Proficiency: Proficient in one or more programming languages (e.g., Python, Java, JavaScript, Go, C#, etc.). CI/CD Tools: Experience with CI/CD tools such as Gitlab and Jenkins. Cloud Platforms: Familiarity with cloud platforms like Azure and More ❯

office) SC Cleared: Required Essential Skills & Experience: 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python and Spark (PySpark) or Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob More ❯

development teams.The Role would be London based and active DV Clearance is required. 12-month initial contract (extendable). Essential Criteria : Significant experience of modern development languages (e.g. Java, Python, Go etc) with code written to a common standard. Able to lead and mentor development teams. Infrastructure as Code Cloud technologies (either AWS, GCP, Azure) Expertise in translating user requirements More ❯