46 to 70 of 1,243 Python Jobs in London

and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise in CI/CD tools : Google Cloud Build, Jenkins, GitHub Actions. Proven experience with Terraform and 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 ❯

tooling Working hands-on with IaaS, CI/CD pipelines, and containerised environments What you bring: Deep Linux expertise and fluency in at least one high-level programming language (Python preferred) Strong experience with AWS (VPCs, EC2, ECS/EKS, RDS, S3, etc.) Solid understanding of database systems (Postgres, SQL Server) IaC mastery (Terraform, CloudFormation, Ansible) Passion for monitoring and More ❯

tooling Working hands-on with IaaS, CI/CD pipelines, and containerised environments What you bring: Deep Linux expertise and fluency in at least one high-level programming language (Python preferred) Strong experience with AWS (VPCs, EC2, ECS/EKS, RDS, S3, etc.) Solid understanding of database systems (Postgres, SQL Server) IaC mastery (Terraform, CloudFormation, Ansible) Passion for monitoring and More ❯

Azure DevOps CI/CD pipelines for secure and efficient software delivery. Deploy microservices using AWS ECS, ECR, and Fargate, ensuring secure and scalable architecture. Development & Containerization: Proficiency in Python and Node.js for developing secure, scalable applications. Hands-on experience with Docker for containerizing applications and managing secure container environments. API Management & Analytics: Strong knowledge of Apigee or similar API More ❯

contributing to sprint planning, peer reviews and continuous improvement initiatives Essential Skills for the AWS Data Engineer: Extensive hands-on experience with AWS data services Strong programming skills in Python (including libraries such as PySpark or Pandas) Solid understanding of data modelling, warehousing and architecture design within cloud environments Experience building and managing ETL/ELT workflows and data pipelines More ❯

data generation, and prompt engineering. Mandatory Skills: Cloud Platforms:Deep experience with AWS (S3, Lambda, Glue, Redshift) and/or Azure (Data Lake, Synapse). Programming & Scripting:Proficiency in Python, SQL, PySpark etc. ETL/ELT & Streaming:Expertise in technologies like Apache Airflow, Glue, Kafka, Informatica, EventBridge etc. Industrial Data Integration:Familiarity with OT data schema originating from OSIsoft PI 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 ❯

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 ❯

with Ansible Cloud platforms (AWS, Azure) Containerization (LXC, LXD, Docker, Kubernetes) CI/CD tooling (TeamCity, Jenkins, GitHub Actions) Server monitoring and alerting systems (Prometheus, Grafana, Zabbix, Datadog) Strong Python programming skills Solid Linux administration and general networking knowledge Understanding of infrastructure security best practices, including secure configuration, identity and access management, and compliance controls Experience with monitoring, alerting, and More ❯

Azure DevOps CI/CD pipelines for secure and efficientsoftware delivery.o Deploy microservices using AWS ECS, ECR, and Fargate, ensuring secure andscalable architecture. Development & Containerization:o Proficiency in Python and Node.js for developing secure, scalableapplications.o Hands-on experience with Docker for containerizing applications andmanaging secure container environments.  API Management & Analytics:o Strong knowledge of Apigee or similar API More ❯

versioning, reproducibility, performance monitoring, bias mitigation, data governance, and ethical AI use . Document architectural decisions, runbooks, and operational procedures. Software Engineering & Collaboration Write clean, tested, maintainable code in Python (and optionally .NET). Apply SOLID, TDD/BDD where sensible, code reviews, refactoring, performance profiling.Collaborate in an Agile environment; contribu More ❯

national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Ideal Profile: An Ideal Candidate Should Have Proven experience in backend development: Python Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers. Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized More ❯

fostering growth and skill development. Skills and Experience Delivering significant and valuable analytics projects/assets in industry and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. 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 ❯

for experience with a compliance framework (ISO27001, PCI-DSS). Infrastructure-as-Code: Mastery of Terraform, CloudFormation, CDK or equivalent tools. Scripting & Automation: Skills in a scripting language like Python, Ansible, Bash, Groovy, Powershell, or similar. Bonus points if you share your GitHub repo! Other Nice To Haves Azure or Google Cloud Experience: Ability to compare and contrast cloud offerings More ❯

Knowledge of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics (Python, R, SQL) Experience with data visualization tools (Tableau, Power BI, etc.) You may be assessed on the key critical skills relevant for success in role, such as risk and controls 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 ❯

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 ❯

Self-motivated with a researcher's mindset to tackle ambiguous challenges and drive solutions with minimal guidance Demonstrated experience applying data science techniques to business problems Proficient in SQL, Python, and standard data science libraries Foundational engineering skills, including version control (Git), collaborative development tools (Github) and command-line tools (Bash) Self-directed learner who thrives in cross-functional teams More ❯

at scale, infrastructure reliability, scalability, security, and continuous improvement Have deep experience with Kubernetes and container orchestration at scale Have strong proficiency in at least one programming language (e.g., Python, Rust, Go) Have strong problem-solving skills and the ability to work independently Have a passion for supporting internal partners like research teams to understand their needs Have excellent communication More ❯

audiences Experience working in middleware technology, ideally within API management, IAM or integration Good knowledge of REST, JSON and XML Some scripting experience, ideally with Java or JavaScript/Python Hands-on experience with cloud providers (AWS, Azure, GCP) Ability to design deployment architectures (HA, DR, etc) Understanding of Kubernetes, Docker, CI/CD processes as well as experience with More ❯

and implementing end-to-end CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) and configuring Git runners for private cloud deployments. Scripting: Proficiency in scripting languages (e.g., Python, Bash, PowerShell) for developing automation glue logic and utility scripts. Analytical Skills: Excellent ability to analyze complex technical problems, map out process flows (e.g., using BPMN or flow charts), and More ❯

team. About you The role requires a blend of technical depth and product sense, including Bachelor's or Master's degree in Computer Science, Engineering, or related field. Strong Python engineering skills (FastAPI, testing, typing) and experience with cloud-native development (GCP preferred). Hands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud More ❯