26 to 50 of 2,827 Python Jobs in England

reporting processes Required Skills & Experience • Degree in Computer Science, Engineering, Data Science, Supply Chain Analytics, or related technical discipline • Proven experience in process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) • Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications ...

have experience in: PE-backed or VC-backed organisations ERP systems (SAP S/4HANA, Oracle, Microsoft Dynamics) Software engineering (Java, .NET, Python, React) Cloud platforms (AWS, Azure, GCP) DevOps & Platform Engineering (CI/CD, Kubernetes, Docker) Data & Analytics, Cybersecurity, AI/ML Embedded systems, IoT, or digital transformation programmes ...

lifecycle management Experience with BI tools such as Power BI or Tableau Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) Strong Python skills and experience with APIs/data integration tools Understanding of data protection regulations Leadership experience with the ability to mentor and develop teams Excellent ...

Expertise: Proven experience with core AWS services (VPC, EC2, S3, IAM, RDS) and cloud management. Scripting & Programming: Proficiency in at least one language (e.g., Python, Bash, or Go) to automate operational tasks. Configuration Management: Experience with tools such as Ansible, Puppet, or Chef. Version Control: Strong knowledge ...

Encourage AI skills development for business and concierge domains. Essential Requirements: Proven leadership of software engineering teams. Proficiency in at least one programming language: Python, C#, TypeScript, Kotlin, Java, or Go. Strong experience building and optimizing systems for performance, scalability, and reliability. Hands‐on experience with cloud platforms ...

tooling Contribute to reusable frameworks, approaches, and best practices Promote high standards of data quality and governance Skills and Experience Essential Strong proficiency in Python and/or SQL within production analytical environments Proven experience in data preparation, cleansing, transformation, and data quality resolution Experience designing and maintaining reusable data ...

Strong understanding of Agile and DevOps practices, with a focus on continuous integration and delivery. Some proficiency in one or more programming languages (e.g., Python, Java, JavaScript) and experience with software architecture patterns. Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code. Familiarity with CI/ ...

trends. Estimate work; lead delivery of features from the roadmap. Solve ambiguous problems with scalable solutions. Skills Knowledge and Expertise Essential: Strong expertise in Python web development frameworks (e.g., Django) and JavaScript/TypeScript, with experience working in cloud environments such as AWS, Azure, or GCP. Skilled in applying software ...

platforms (AWS, Google Cloud, Azure) and experience with microservices, containerisation (Docker, Kubernetes), DevOps and CI/CD pipelines. You have hands‐on experience with Python, React, Typescript, Kubernetes. Excellent problem‐solving skills, with the ability to lead, inspire and motivate a team. Strong communication and leadership skills, with the ability ...

rather than massive redesigns. You can zoom in on details and zoom out to see the big picture. Ideally Polyglot programming — deep expertise in Python and mastery of high-performance compiled languages like Golang, C++, or Rust. Big data scale — experience designing and maintaining big data systems, with a track ...

* Consult with users to determine hardware, software or system functional specifications, manage interaction between the systems and other technical support areas, and define technical requirements and coordinate team resources to solve problems.* Guide the team ...

Deployment (CI/CD) pipelines. Demo your work to internal and external stakeholders. What You Bring: Strong hands‐on experience with Java, JavaScript, or Python . Understanding of Cloud‐based architectures (AWS or Azure) . Experience with DevOps & automation tools such as Jenkins, GitLab, Docker, OpenShift, or Kubernetes. Proven experience ...

Work across Windows & Linux environments, including virtualisation (VMware) Manage artefacts, code quality, and release processes What You’ll Need Experience with scripting or development (Python, PowerShell, C#, Java, or C++) Strong CI/CD experience (Jenkins, GitHub Actions, TeamCity or similar) Knowledge of containerisation and orchestration tools Experience with cloud ...

Terraform or Ansible Experience with containerisation and orchestration technologies such as Docker and Kubernetes Strong scripting and automation skills using tools such as Python, Bash, or PowerShell Experience implementing monitoring, logging, and observability tooling Strong understanding of DevOps principles, security, networking, and system reliability Comfortable working within Agile delivery environments ...

high-quality, reliable datasets What theyre looking for Strong experience in data engineering or large-scale data platforms (3+ years) Proficiency in Java or Python Hands-on experience with streaming technologies (Kafka/Flink preferred) Good understanding of distributed systems and cloud platforms (AWS ideally) Experience with CI/ ...

transformation (AWS/Azure) Core Skills Background in UK National Security/Defence/Government. Strong leadership experience in software engineering teams. Proficiency in Python, Go, or Java (+ TypeScript/Node.js desirable) Expertise in AWS or Azure, Terraform, and Kubernetes (EKS/AKS) Strong grounding in SQL (Postgres ...

programmes with cross-functional and vendor teams? • Stakeholder management? • Modern cloud and analytics platforms? • Tools such as Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python, SQL, and related stacks? • Agile, Waterfall, or hybrid delivery environments? Senior hires will also have experience leading multi-workstream programmes, managing large teams, owning client ...

improvement About the Candidate The right Data & ML Engineer should have: Experience in data engineering, machine learning or applied AI roles Strong skills in Python and SQL, with exposure to big data or ML frameworks Experience working with cloud platforms such as Azure, AWS or GCP Understanding of CI/ ...

services Experience with frameworks such as React and/or Struts Strong Java development skills Exposure to other programming languages such as Python, JavaScript, C++, or Perl is beneficial Experience with development tools including Git, SVN, and Eclipse Understanding of testing methodologies including unit, integration, and regression testing Strong analytical ...

Familiar with Prometheus, Grafana, Elastic, applying SRE principles to improve system reliability, uptime, and performance Programming & Automation: Ability to script and automate using Python (or similar languages such as Rust ...

offering stability while working on meaningful, large-scale projects Key experience 5+ years' experience in data engineering or backend data roles Strong SQL and Python skills Hands-on experience with Azure data services (ADF, Synapse, Databricks, Microsoft Fabric) Experience integrating data from enterprise systems (CRM, ERP, HR, Finance) A solid ...

translate business requirements into testable solutions Mentor and guide team members on testing methodologies and best practices Key Skills & Experience Technical Skills Proficiency in Python, SQL, and at least one additional programming language (e.g., Java) Experience with scripting languages such as Bash Strong understanding of automated testing frameworks and methodologies ...

implementing Site Reliability Engineering (SRE) principles. • Advanced knowledge of establishing observability using tools – Dynatrace & Datadog (primary skills). • Proficiency in automation & scripting using Python & Ansible (primary skills). • Strong experience with cloud platforms – AWS & Azure (primary skills). • Solid understanding of containerization and orchestration tools like Docker and Kubernetes. • Proficiency ...

products and delivery approaches Familiarity with cloud platforms such as Azure, AWS or GCP, alongside technologies including Databricks, Snowflake, Power BI, Hadoop, SQL and Python Experience working with delivery methodologies including Agile, SAFe and Waterfall Strong proficiency with tools such as Jira, Confluence and Planview A proactive, solutions-focused mindset ...

Experience Proven experience (ideally 4+ years) in Unix OS and ideally recent experience in container orchestration (Docker, Kubernetes, etc) and a scripting language (e.g. Python, Bash) Proven experience (ideally 4+ years) of at least one major cloud provider (GCP, AWS, Azure) and Kubernetes experience Strong experience of Site Reliability Engineering ...