1 to 25 of 172 Python Jobs in Central London

Hands-on experience with SIEM, EDR, IDS/IPS, and SOAR platforms. Strong knowledge of operating systems (Windows, Linux), network protocols, and packet analysis tools. Familiarity with scripting languages (Python, Bash, PowerShell). Experience with cloud security monitoring (AWS, Azure, GCP). Knowledge of frameworks such as NIST and MITRE ATT&CK. Qualifications Bachelor’s degree in Cyber Security, IT More ❯

infrastructure-as-code tools (e.g. Terraform, Ansible) is a must Proficiency with AWS cloud tools and architecture, including deploying microservices using ECS, ECR and Fargate. Hands-on experience with Python Hands-on experience with Docker. Experience in setting up and managing Azure DevOps CI/CD pipelines Understanding of build and deployment methodologies for distributed systems Solid experience with enterprise More ❯

SaaS environment, balancing stability and innovation. Desirable Previous experience in SaaS or high-growth technology companies. Knowledge of containerisation (e.g., Kubernetes, Docker). Scripting/programming skills (e.g., PowerShell, Python, Bash). Seniority Level Mid-Senior level Industry Software Development IT Services and IT Consulting Business Consulting and Services Employment Type Full-time Job Functions Information Technology Skills Networking Management More ❯

premises. Experience testing APIs, services, and integration points , not just front-end UI. Strong analytical mindset and attention to detail - you spot issues others miss. Bonus: experience with scripting (Python, Bash, PowerShell) or IaC validation (Terraform, Ansible). What We Offer Competitive salary of £45,000 Hybrid working model - flexibility to split time between home and our London office Supportive More ❯

Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience More ❯

Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience More ❯

Query Language. Cloud Security Policy Engineering and Testing - create cloud security policy, engineer it, test it and deploy it. Experience Workload Coding Languages & Frameworks - JAVA REST services with Spring, Python, .NET, etc. Threat Modelling Skills with tools such as IriusRisk or similar; experienced at identifying security flaws in cloud solutions via architectural assessment and threat modelling. Experience in Cloud Security More ❯

written and verbal. Desirable, but not essential Familiarity with Agile methodologies, tools and ways of working. Experience and knowledge of CI/CD tools. Experience in scripting/coding (Python, C#, PowerShell). Experience of common automation tools (Terraform, Ansible). Experience with monitoring solutions (Nagios, Zabbix, NetCool, Icinga, Elastic). Previous experience of working in a DevOps environment. If More ❯

releases Mentor and support other QA engineers in automation best practices Essential Skills & Experience 7+ years’ experience in QA engineering within financial services or other complex enterprise environments Strong Python scripting skills for automation Experience with Avaloq (desirable) Hands-on experience testing RESTful APIs and performing data validation Familiarity with CI/CD pipelines, version control (Git), and Agile methodologies More ❯

Providing training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field More ❯

Architect - Professional). Expertise in cloud security, IAM, encryption, and secure networking. Experience with CI/CD pipelines, DevOps practices, and containerization (Docker, Kubernetes). Proficiency in scripting languages (Python, Bash) and automation tools. Excellent communication and stakeholder management skills. Desirable: Experience with financial data platforms (e.g., Bloomberg, Refinitiv). Knowledge of regulatory frameworks (e.g., MiFID II, Basel III). More ❯

Azure cloud experience for data storage and processing, considerations made for alternate cloud providers such as AWS and GCP. Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting Solid understanding of relevant data governance, data quality, and data security best practices Strong problem-solving skills, and the ability to think critically More ❯

with a focus on cloud-based data pipelines and architectures Strong expertise in Microsoft Fabric and Databricks, including data pipeline development, data warehousing, and data lake management Proficiency in Python, SQL, Scala, or Java Experience with data processing frameworks such as Apache Spark, Apache Beam, or Azure Data Factory Strong understanding of data architecture principles, data modelling, and data governance More ❯

experience Design and develop Microsoft Azure AI solutions using services such as; AI Foundry, Open-AI services, and Microsoft Copilot Studio. Apply governance frameworks for AI/ML models. Python knowledge to automate processes Large datasets experience, including data preprocessing, feature engineering, and model evaluation. Agile development of AI solution from concept to deployment to continuous improvement. Create and maintain More ❯

regular updates on progress, risks, and issues * Troubleshoot and resolve operational issues promptly * Pursue certifications to enhance software engineering skills Candidate Profile * Familiarity with the insurance industry * Proficiency in Python for traditional data science * Experience with generative AI tools, especially Gemini * Knowledge of cloud platforms such as Azure or GCP * Ability to interpret technical design documentation * Strong communication skills across More ❯

of the time. About you: You have experience of building enterprise grade systems that are reliable, secure, maintainable and observable You have strong TypeScript and Node.js backend development skills - Python is also desirable for data related work You have experience of building event-driven systems and public APIs You have a strong appreciation of SaaS, Kubernetes, Infrastructure as Code, GitOps More ❯

performance. Actively engage in troubleshooting and incident response to address production issues, continually learning from these experiences to improve future resilience. Design, develop, and maintain full-stack applications using Python, Flask, FastAPI, AWS, Angular, React and SQL databases. Optimize application performance, troubleshoot and resolve complex technical issues. Stay current with industry trends and emerging technologies, advocating for their application when More ❯

building and maintaining high-performance, distributed systems in production. Required Technical Skills ? A minimum of 5 years of production experience with Go (Golang). Experience in other languages (e.g., Python, Node.js) is valued, but will not replace this core Go requirement. ? Strong, demonstrable experiefnce with real-time, low-latency data processing. You obsess over milliseconds and understand the trade-offs. More ❯

the look out for a Senior Data Engineer who has experience in: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL). Open to interchangable Azure experience. Databricks Python Devops experience a bonus e.g. Terraform, Drone, Kubernetes cluster management for microservice style API data consumption Consultative behaviour - strong stakeholder engagement skills, providing true consultancy and leading the user journey More ❯

CI/CD, Agile delivery, and containerisation (Docker, Kubernetes). Strong leadership of distributed engineering teams. Desirable: Experience in social media, advertising, eCommerce, or news. Proficiency in Node.js, Go, Python, Java, and modern front-end frameworks. AWS certifications, microservices/service mesh, and streaming tech (Kafka/Kinesis). If you're ready to tackle hard problems, enjoy architectural freedom More ❯

Engineer, Cloud Network Engineer, Cloud Platform Engineer, Cloud Operations Engineer,or in a similar role. Technical expertise in virtual cloud firewalls (CheckPoint, Cisco) and cloud security best practices. Strong Python programming skills for automation, API integration, and orchestration. Proven knowledge of routing protocols (BGP, OSPF) and high-availability architecture. Hands-on experience with Infrastructure-as-Code tools (e.g., Terraform, Pulumi More ❯

Engineer, Cloud Network Engineer, Cloud Platform Engineer, Cloud Operations Engineer,or in a similar role. Technical expertise in virtual cloud firewalls (CheckPoint, Cisco) and cloud security best practices. Strong Python programming skills for automation, API integration, and orchestration. Proven knowledge of routing protocols (BGP, OSPF) and high-availability architecture. Hands-on experience with Infrastructure-as-Code tools (e.g., Terraform, Pulumi More ❯

in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ? Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ? Experience with ML Ops, including More ❯

Data Factory, Power Automate, LogicApps, or similar). Hands-on experience with Databricks for data engineering and transformation workflows. Familiarity with Microsoft Azure Cloud platform(preferred). Proficiency in Python(preferred) and familiarity with SQL databases. Knowledge of visualization tools such as PowerBI is an advantage. Excellent communication and teamwork skills. Our offer Structured mentorship and career development within a More ❯

Imagine joining a fintech thats small enough for your code to make a dent yet backed by the kind of financial power that moves billions every day. This isnt another digital transformation project. Its about re-engineering how institutions handle More ❯