176 to 200 of 3,121 Python Jobs in the UK

application support and/or a DevOps background is a plus. Stack: Atlassian Suite (Jira, Confluence, Crowd, Bitbucket) Jenkins Cl Linux AWS Git/Github/Gitlab Bash and Python SQL/NO-SQL DB's Nginx More ❯

production. • Learn to deliver AI in an ethical and responsible way, understanding AI risks, bias mitigation, explainability, and governance frameworks. Your skills toolkit You'll master: • Programming languages like Python • Machine learning techniques and theory • Generative and Agentic AI • AI Solution design and evaluation techniques • Cloud platforms like GCP • CI/CD, DevOps and software engineering • Data analysis, modelling and … application process. • We encourage all students to apply, from newly graduated through to MSc/PhD. • Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. • We are unable to offer sponsorship for this More ❯

Skills & Experience Expert in Azure Databricks (Unity Catalog, DLT, cluster management). Strong experience with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, Event Hubs. Proficient in Python, Scala, C#, .NET, and SQL (T-SQL). Skilled in data modelling, quality, and metadata management. Experience with CI/CD and Infrastructure as Code using Azure DevOps and Terraform. 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 ❯

administration in cloud or virtualised environments. Basic understanding of networking concepts such as VPCs, subnets, routing, firewalls, and VPNs. Familiarity with CI/CD pipelines Exposure to scripting languages (Python, Bash, PowerShell) for automation tasks. Understanding of monitoring and logging tools (CloudWatch, Azure Monitor, Stackdriver, or similar). Experience working collaboratively in Agile or DevOps environments (advantageous). Relevant cloud More ❯

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 ❯

as AWS CodePipeline, Jenkins, GitHub Actions, or GitLab CI. - Knowledge of monitoring and logging tools, including CloudWatch, ELK stack, and Prometheus/Grafana. - Strong coding skills in languages like Python, Java, Node.js, or Go. - Ability to design scalable, secure, and resilient cloud-native applications. Additional Experience Required: - Ability to act on own authority to manage and provide direction to projects 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 ❯

Participate in model validation, performance tuning, and version control processes. Stay up to date with advances in quantitative finance, computational techniques, and emerging technologies. Profile Strong programming experience in Python, C++, or C#; knowledge of NumPy, Pandas, and QuantLib advantageous. Solid understanding of mathematics, statistics, and numerical methods - including stochastic calculus, Monte Carlo simulation, and optimisation. Familiarity with derivatives pricing 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 ❯

Azure Storage. Strong SQL skills and expertise in dimensional modelling (e.g., star/snowflake schemas). Familiarity with Power BI dataflows, DAX, and RLS setup. Hands-on experience with Python, PySpark, or T-SQL for data processing and automation. Understanding of CI/CD practices in data projects using Git and YAML pipelines. Solid knowledge of data security, governance, and 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 ❯

Experience Proven experience designing and implementing cloud-based solutions (Azure, AWS, or GCP). Strong grasp of architecture principles, automation tools, containerisation, and DevOps . Hands-on experience with Python, Java, or scripting languages . Deep understanding of security and compliance frameworks in complex environments. Ability to translate complex technical concepts into clear, actionable insights for stakeholders. Excellent problem-solving More ❯

You’ll work with client teams to deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion More ❯

and relational databases Linux administration and shell scripting Familiarity with network security protocols Experience with cloud platforms, ideally AWS (EC2, RDS, S3, Lambda) Desirable: Coding experience in Java, Go, Python or similar Knowledge of cross-domain technologies Experience in service management environments Practical application of observability patterns Experience with Azure Additional Information: Due to the nature of the work, successful 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 ❯

deliver innovative, secure, and robust technical solutions. What We're Looking For Proficiency in one or more of C, C++, Java or C#. Familiarity with scripting and automation using Python, Bash, Powershell or Groovy. Experience working with IDA Pro or Ghidra for reverse engineering Experience working with Linux or Windows-based systems. Awareness of secure coding practices and modern cybersecurity More ❯

it is very team-focused, they also encourage project ownership of outcomes. Requirements: Extensive technical experience with AWS Cloud infrastructure across servers, storage and networks. Demonstrable project experience with Python programming and scripting in a server environment including application and deployment automation. Preference would be for a software engineering background prior to moving into DevOps. High familiarity and experience with 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 ❯

Kubernetes Services, Docker) • Serverless (Azure Functions, Azure Search) • Messaging (AMQP, Kafka, HTTP) • Testing (xUnit) • Databases (SQL Server, Azure Cosmos DB) • Monitoring (Grafana Stack) • CI/CD (Azure DevOps) • Scripting (Python) • Distributed Systems (Microsoft Orleans) • Cloud (Azure) • Web Development (Typescript/React/ASP.NET Core) Ok, so that’s the formal part but what will you really get involved with? Small More ❯