1 to 25 of 8,905 Permanent Python Jobs in the UK

with development, DevOps, and product teams to resolve complex technical issues. Manage incident response and provide root cause analysis (RCA) for platform outages. Automate repetitive support tasks using scripting (Python, Bash, PowerShell). Maintain documentation of processes, troubleshooting steps, and known issues. Ensure adherence to SLAs and help improve operational support efficiency. Participate in on-call rotations to provide … and Windows environments. Familiarity with cloud platforms (AWS, Azure, GCP). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker, Kubernetes). Experience with monitoring/logging tools (Prometheus, Grafana, Splunk, ELK, CloudWatch). Professional level of English (spoken and written), enabling More ❯

include:Must haves Proven track record as a developer in an insurance or financial services environment; Strong working knowledge of programming languages (e.g. SQL, C#, VBA, Javascript, XML, JSON, Python); Experience building Excel-integrated applications and/or web-based pricing platforms. Strong database skills (SQL Server or similar) and data integration experience; Proactive, collaborative, flexible and adaptable with a … technical and non-technical audiences; Proactive, curious, and keen to drive continuous improvement.Desirable Extensive experience of developing complex modelling applications in an underwriting environment Working knowledge and experience of Python - developing applications for pricing and modelling to implement pricing algorithms; Cloud development + Familiarity with Docker and Kubernetes. + Proficiency in AWS or Azure; Knowledge of design patterns and able More ❯

Job Title: Senior Python Developer (Python/Django) Location: Fully Remote Job Type: Full-Time Salary 80k - 100k About the Company: A fast-growing tech company revolutionizing the e-commerce/data analytics sector with cutting-edge software solutions. Join their dynamic engineering team and contribute to innovative projects. Job Description: We're looking for a passionate Python Developer (Python … + years of experience. This role offers the opportunity to work in a fast-paced, collaborative environment and grow your skills. Key Responsibilities: Develop and maintain scalable applications using Python (Django). Build and integrate APIs and third-party services. Participate in Agile development cycles and CI/CD processes. Optimize applications for performance and scalability. Collaborate with cross-functional … teams. Requirements: Computer Science or STEM degree from a top Russell Group University (1st or 2:1). 5+ years of full-stack development experience (Python/Django). Strong experience with SQL databases (PostgreSQL/MySQL). Familiarity with DevOps tools (Docker, Kubernetes, AWS/GCP/Azure). Experience with API development and Git. More ❯

standards for code re-usability and cleanliness We're excited if you have 5+ years of hands-on experience with automation systems 3+ years of programming experience, preferably with Python for scripting and working with machine learning tools Ability to design, implement, and optimize solutions leveraging LLMs via API Experience using various LLMs (Open AI, Anthropic APIs) and AI Frameworks More ❯

environments. Extensive hands-on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep … Proficiency in statistical methods and experience following CRISP-DM data science lifecycle. Expertise taking projects from ideation or experimental Jupyter notebooks to full production deployment. Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with MLOps practices including model drift detection, decay, A/B testing, integration testing, differential … testing, Python package building, and code version control. Skilled in data pipeline creation and working with both structured and unstructured data. Familiar with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes. Excellent problem-solving skills, combined with the ability to communicate complex technical concepts clearly to non-technical stakeholders. Ability to mentor and lead a team More ❯

with development, DevOps, and product teams to resolve complex technical issues. Manage incident response and provide root cause analysis (RCA) for platform outages. Automate repetitive support tasks using scripting (Python, Bash, PowerShell). Maintain documentation of processes, troubleshooting steps, and known issues. Ensure adherence to SLAs and help improve operational support efficiency. Participate in on-call rotations to provide … Unix and Windows environments. Familiarity with cloud platforms (Azure, GCP). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker, Kubernetes). Experience with monitoring/logging tools (Prometheus, Grafana, Splunk, ELK, CloudWatch). Professional level of English (spoken and written), enabling More ❯

experience and career development this role could be for you. Key Responsibilities What Makes a Great Candidate Proficiency in PowerShell or other scripting languages Experience with C#, Java, or Python, or the ability to code Knowledge of Infrastructure as Code tools like Ansible, Terraform, or similar Experience with containerization (Docker) and orchestration (Kubernetes or Docker Swarm) Familiarity with monitoring tools More ❯

automation tools (Puppet/Chef/Ansible, Terraform) Basic understanding of Linux System Admin with basic troubleshooting and problem-solving skills Basic hands-on experience with languages (Bash/Python/Core Java/Scala) Experience with CI/CD pipeline (Jenkins, Git, Maven etc) Role & Responsibilities Develop and deliver automation software required for building & improving the functionality, reliability, availability More ❯

large-scale distributed data pipelines and architectures. Expert-level knowledge in Apache Spark, PySpark, and Databricksincluding experience with Delta Lake, Unity Catalog, MLflow, and Databricks Workflows. Deep proficiency in Python and SQL, with proven experience building modular, testable, reusable pipeline components. Strong experience with AWS cloud services including S3, Lambda, Glue, API Gateway, IAM, EC2, EKS, and integration of AWS More ❯

large-scale distributed data pipelines and architectures. Expert-level knowledge in Apache Spark, PySpark, and Databricksincluding experience with Delta Lake, Unity Catalog, MLflow, and Databricks Workflows. Deep proficiency in Python and SQL, with proven experience building modular, testable, reusable pipeline components. Strong experience with AWS cloud services including S3, Lambda, Glue, API Gateway, IAM, EC2, EKS, and integration of AWS More ❯

scale distributed data pipelines and architectures. Expert-level knowledge in Apache Spark, PySpark, and Databricks—including experience with Delta Lake, Unity Catalog, MLflow, and Databricks Workflows. Deep proficiency in Python and SQL, with proven experience building modular, testable, reusable pipeline components. Strong experience with AWS cloud services including S3, Lambda, Glue, API Gateway, IAM, EC2, EKS, and integration of AWS More ❯

scale distributed data pipelines and architectures. Expert-level knowledge in Apache Spark, PySpark, and Databricks—including experience with Delta Lake, Unity Catalog, MLflow, and Databricks Workflows. Deep proficiency in Python and SQL, with proven experience building modular, testable, reusable pipeline components. Strong experience with AWS cloud services including S3, Lambda, Glue, API Gateway, IAM, EC2, EKS, and integration of AWS More ❯

scale distributed data pipelines and architectures. Expert-level knowledge in Apache Spark, PySpark, and Databricks—including experience with Delta Lake, Unity Catalog, MLflow, and Databricks Workflows. Deep proficiency in Python and SQL, with proven experience building modular, testable, reusable pipeline components. Strong experience with AWS cloud services including S3, Lambda, Glue, API Gateway, IAM, EC2, EKS, and integration of AWS More ❯

access control, or surveillance technology. Exposure to Infrastructure as Code tools (e.g., Terraform, CloudFormation). Knowledge of container security and cloud compliance best practices. Experience with scripting languages (e.g., Python, Bash, PowerShell). Understanding of security certifications or industry compliance (e.g., ISO 27001, SOC 2) is a plus. Experience with Kubernetes or OpenShift for container orchestration. Familiarity with CI/ More ❯

in the following skills: Familiarity with Azure and/or AWS CLI and SDK tools. Knowledge of Linux and Windows server operating systems. Expertise in scripting languages such as Python, PowerShell & Shell. Strong incident fault finding skills and experience. Familiarity with ITSM, Agile methodologies and tools eg Azure DevOps, ServiceNow Good communication and problem-solving skills. What’s in it More ❯

or streaming Agile Delivery: Significant experience in scoping and development of technical solutions in an Agile environment. Technical Proficiency: Deep technical expertise in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (Kafka, Flink, DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Container technologies (Docker, Kubernetes), IaaC (Terraform) and experience More ❯

We are currently looking for a Senior Systems Engineer to join the Data Cloud team in our Cardiff Bay office. You will need to have demonstrable experience in Python and AWS cloud services. Creditsafe Privately owned and independently minded, Creditsafe operates with the singular vision of powering business decisions. We do this by delivering valuable intelligence on customers, suppliers and … is built upon AWS Redshift and S3 cloud storage. The platform manages billions of objects, with daily increments in the 10s of millions. Our ETL processes are built in Python and Rust, efficiently transforming incoming data for high throughput, low latency delivery from S3 via transactional and bulk APIs. Job Profile Join us to take the above project of redesigning … the Creditsafe platform into the cloud space. You will be expected to work with technologies such as Python, Rust, Linux, EC2, ECS, S3, Glue, Athena, Lambda, Step Functions, API Gateway, DynamoDB, RDS, Terraform, CI/CD. Primary Responsibilities Play a hands-on role as part of an Agile team. Actively contribute to the codebase and participate in peer reviews. Design More ❯

Masters, Architects and other stakeholders Support the growth of the discipline through coaching and mentoring Required Skills/Experience We are ideally seeking candidate with: Significant professional experience with Python Use of AWS (or other cloud platform providers) Experience with CI/CD and DevOps tooling and processes Ability to work effectively as a member of a Scrum/Agile More ❯

organisation, including executive tasks and decisions. Our multidisciplinary team offers flexibility for individuals to move between core engineering, infrastructure, testing and research. Our stack includes Go, VueJS, Postgres and Python, deployed through a fully automated AWS environment (Terraform, Ansible, GitHub Actions). Alongside this, we're building the next generation of our data and AI infrastructure - exploring frameworks like Hugging … to keep us moving forward. You might be a good fit if: 4+ years of software engineering experience. Expert-level ability in a server-side language such as Go, Python or Java. Solid experience across multiple areas of the stack - front end and back end. Strong relational database knowledge, including schema design and optimisation. Proficient with source control (Git/ More ❯

with containerisation (e.g., Docker, Kubernetes) and microservices architectures is a plus. Skills: Strong knowledge of IT infrastructure, virtualisation technologies, and network management. Proficiency in scripting and automation (e.g., Bash, Python, PowerShell). Familiarity with CI/CD pipelines and deployment automation. Experience with environment monitoring tools (e.g., Prometheus, Nagios, Datadog). Knowledge of security best practices and compliance standards in More ❯

with containerisation (e.g., Docker, Kubernetes) and microservices architectures is a plus. Skills: Strong knowledge of IT infrastructure, virtualisation technologies, and network management. Proficiency in scripting and automation (e.g., Bash, Python, PowerShell). Familiarity with CI/CD pipelines and deployment automation. Experience with environment monitoring tools (e.g., Prometheus, Nagios, Datadog). Knowledge of security best practices and compliance standards in More ❯

with containerisation (e.g., Docker, Kubernetes) and microservices architectures is a plus. Skills: Strong knowledge of IT infrastructure, virtualisation technologies, and network management. Proficiency in scripting and automation (e.g., Bash, Python, PowerShell). Familiarity with CI/CD pipelines and deployment automation. Experience with environment monitoring tools (e.g., Prometheus, Nagios, Datadog). Knowledge of security best practices and compliance standards in More ❯

with containerisation (e.g., Docker, Kubernetes) and microservices architectures is a plus. Skills: Strong knowledge of IT infrastructure, virtualisation technologies, and network management. Proficiency in scripting and automation (e.g., Bash, Python, PowerShell). Familiarity with CI/CD pipelines and deployment automation. Experience with environment monitoring tools (e.g., Prometheus, Nagios, Datadog). Knowledge of security best practices and compliance standards in More ❯

with containerisation (e.g., Docker, Kubernetes) and microservices architectures is a plus. Skills: Strong knowledge of IT infrastructure, virtualisation technologies, and network management. Proficiency in scripting and automation (e.g., Bash, Python, PowerShell). Familiarity with CI/CD pipelines and deployment automation. Experience with environment monitoring tools (e.g., Prometheus, Nagios, Datadog). Knowledge of security best practices and compliance standards in More ❯

CD tools such as Jenkins, GitLab CI, or Azure DevOps Experience with Infrastructure as Code tools (Terraform, Ansible, or CloudFormation) Strong background in Linux systems and scripting (Bash or Python) Exposure to containerisation and orchestration (Docker, Kubernetes, or OpenShift) Understanding of cloud services (AWS, Azure, or GCP) Experience working in secure or regulated environments Collaborative mindset with strong problem-solving More ❯