46 to 70 of 1,221 Python Jobs in London

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 ❯

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 ❯

in the office) Salary range: £75,000–£84,000 + benefits Tech: AWS (EC2, Lambda, RDS, Route53, ELBs, EKS), Terraform, Kubernetes, Docker, CI/CD (Jenkins, GitHub Actions, CodePipeline), Python/Bash, Ansible, Security frameworks (CIS, OWASP), ** Sponsorship and offshore remote are not available for this position** Immersum continue to support one of the leading media businesses in the UK. 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 ❯

Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such as Python Reporting tools (e.g. Tableau, PowerBI, Qlik) GDPR and Government Service Standard (desirable) Passionate, motivated and enthusiastic about developing technology solutions. Experience working in an Agile development environment Data architecture experience. 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 ❯

time series analysis, causal inference, and statistical modeling. Experience leading end-to-end data science projects from ideation to delivery, including business scoping and stakeholder management. Strong proficiency in Python (or R), with deep experience using modern data science libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Statsmodels). Solid foundation in SQL and data wrangling across large, complex datasets. 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 ❯

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 ❯

supporting financial markets, real-time data, or client-facing applications a plus) Hands-on experience supporting cloud applications (AWS/Azure preferred) Fluent in writing well-documented, production-grade Python code Excellent grasp of key components of the software development lifecycle, including testing, code quality and security scans, artifact versioning, environment promotion, and deployment models Strong background in Unix/ More ❯