1 to 25 of 302 Python Jobs in Chester

Required Skills & Experience: Core Engineering: 5+ years of experience in software development, with exposure to both backend and frontend stacks. Strong programming proficiency in Python, C++, and Java (Quant/Trading grade codebases). Expertise in modern web development with React, Node.js, MongoDB, and SQL (Postgres, MySQL). Strong understanding More ❯

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 More ❯

environments. · SELinux, firewalls, and implementing security best practices. · Ability to monitor, diagnose, and optimize system performance for efficiency. · Expertise in scripting languages such as Python, PowerShell & Shell. · Expertise in Kubernetes for container orchestration and managing containerized applications · Strong incident fault finding skills and experience. · Familiarity with ITSM, Agile methodologies and More ❯

To be considered, you should have hands-on experience with: Backend software engineering in Java and ideally an additional OOP language like Go or Python Developing RESTful API services & understanding of API Gateways (e.g., APIGEE) Building applications using container technologies like Docker Managing applications deployed to Kubernetes clusters, Istio & Helm More ❯

emerging technologies to improve team velocity and product impact. Basic Qualifications 7+ years of hands-on software development experience in Java (11–21) or Python . Deep expertise in backend technologies: SQL/NoSQL databases , Elasticsearch , MongoDB , Spring Boot , REST/GraphQL APIs , and ORM frameworks like Hibernate. Strong proficiency More ❯

managerial role. Strong background in financial services, particularly in market risk, counterparty credit risk, or risk analytics Proficiency in modern programming languages (e.g., Java, Python, Scala) and frameworks. Experience with cloud platforms (AWS, Azure, or GCP). Deep understanding of software development lifecycle (SDLC), agile methodologies, and devOps practices. Preferred More ❯

particularly with deployment and environment management. Solid understanding of insurance business processes and workflows (Policy, Claims, Billing). Experience with scripting languages (PowerShell, Bash, Python). Proficiency in source control systems (e.g., Git, Bitbucket). Familiarity with Microsoft Azure cloud services (App Services, AKS, ADO, Key Vault, etc.). Experience More ❯

anonymisation, and access control Monitor and troubleshoot real-time data pipelines to ensure high performance and reliability Write efficient, secure scripts and code using Python, Bash, or similar languages Collaborate with cross-functional teams to meet technical and operational requirements Essential Skills and Experience: 3+ years’ experience as a Data More ❯

automated, secure, and scalable environments. Lead and manage an offshore team developing middleware APIs to monitor system health. Engage with our growing community of Python and Machine Learning developers, promoting best practices. What You Bring Former Software Engineer or strong understanding of OOP. Hands-on experience with CI/CD More ❯

stakeholder management and communication skills. Experience in agile environments and cross-functional collaboration. Tools & Technologies Some of the technologies used in the team include: Python, Java, AWS, Docker, Terraform, OpenSearch, MySQL, Bedrock, Claude, GitHub Actions, and Atlassian tools (Jira, Confluence). What’s on Offer 25 days holiday + More ❯

design and implement scalable and maintainable systems Strong background in API development and associated architectural patterns such as REST or gRPC Programming experience in Python, Go, Java, or similar. Experience with data science concepts such as data preparation, exploration, modelling and the ability to apply this process when handling structured More ❯

Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best practices - test driven development, CI/CD, etc. Desirable: prior experience with Azure and More ❯

do and should demonstrate a genuine curiosity for solving current and future customer challenges. We would love to hear from you if: Have strong Python and engineering skills, with experience using and applying AI to solve customer problems Can (or want to learn to) develop agentic AI systems that can More ❯

Budget: £55k + full benefits + fully remote Primary requirements: Must be eligible for SC Clearance Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. LLM More ❯

scale. Hands-on expertise in core GCP data services such as BigQuery, Composer, Dataform, Dataproc, and Pub/Sub. Strong programming skills in PySpark, Python, and SQL. Proficiency in ETL processes, data mining, and data storage principles. Experience with BI and data visualisation tools, such as Looker or Power BI. More ❯

and Automation: Proven skills in setting up and maintaining CI/CD pipelines and automating operational processes. Programming & Scripting: Proficiency in languages such as Python, Bash, or Go for automation, scripting, and tool development. Experience with monitoring and logging tools and a solid background in incident management and root cause More ❯

learning) Proven ability to lead technical direction across projects or domains Expertise in model validation, explainability, governance and ethical AI principles Advanced proficiency in Python (e.g. Scikit-learn, TensorFlow/PyTorch) and SQL, plus familiarity with ML engineering and MLOps practices Nice to have: Experience in setting or influencing data More ❯

s degree in a numerate discipline or an equivalent analytical apprenticeship Strong proficiency in SQL Good understanding of ETL/ELT processes Exposure to Python or any other object-oriented programming languages Experience with modern data stack tools and cloud-based data warehouses like MS Fabric, Snowflake, Databricks, Teradata or More ❯

financial instruments, and risk assessment methodologies. Good experience in Data Analytics and interpretation of large volumes of Data. Programming experience with any language like Python, Spark, R, SAS, SQL and related tools such as SQL Server, Toad, PyCharm, Jupiter Notebook, Hue, Beeline. Experience with MS Suite and any presentation and More ❯

Principal Software Engineer - Join a pioneering company in cutting-edge radiation detection solutions, where your work will protect and empower communities worldwide. Role Overview: As a Principal Software Engineer, you will work on high-stakes projects, collaborate with an experienced More ❯

cloud platforms (Azure) for data management and deployment Apply expertise in computer vision, large language models (LLMs), and statistical analysis Experience: Strong proficiency in Python and machine learning libraries Strong understanding of machine learning algorithms and model training/deployment Experience with computer vision and LLM applications Skilled in statistical More ❯

GSEC, or CISSP (or actively working toward one) Experience with cloud security in AWS, Azure, or GCP environments Knowledge of scripting or automation (e.g., Python, PowerShell) for security tasks Understanding of DevSecOps practices and secure SDLC Package: Hybrid working – 3 days in London office Opportunities for professional growth and certification More ❯

allowance Unlimited leave What We’re Looking For: Must have 3+ years experience as a Data Scientist in a commercial setting Extensive experience using Python to analyse text and implement machine learning models - including packages like Spacy and Tensorflow Familiarity with MLOps and experience using AWS to develop, deploy and More ❯

using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across More ❯

management concepts and best practices. Experience with integrating CyberArk with other security tools (e.g., SIEM, IAM, ITSM). Proficiency in scripting languages (e.g., PowerShell, Python) for automation and customization. Excellent problem-solving and troubleshooting skills. Preferred: Experience with cloud platforms (e.g., AWS, Azure, GCP) and their integration with CyberArk. Knowledge More ❯