Python developer jobs in United Kingdom

Job Overview: We are seeking a highly skilled DevOps Engineer to join our team. The successful candidates will play a pivotal role in streamlining development, deployment, and monitoring processes. You will be responsible for designing, building, and maintaining Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring the stability and scalability of our infrastructure, and implementing best practices in automation. As a DevOps Engineer, you will work closely with software development and IT operations teams to ensure smooth and efficient operations across various cloud environments. Key Responsibilities: CI/CD Pipeline Management: Design, implement, and maintain CI/CD pipelines to streamline development and deployment processes. Automate build, test, and deployment workflows to ensure rapid and reliable software delivery. Troubleshoot and optimize existing pipelines for performance and scalability. Cloud Infrastructure Management: Manage cloud infrastructure across AWS, Azure, and GCP to ensure availability, scalability, and security. Implement infrastructure as code (IaC) using tools like Terraform, CloudFormation, or ARM templates. Monitor cloud resources and optimize for cost, performance, and reliability. Containerization and Orchestration: Develop, deploy, and manage containerized applications using Docker. Implement and manage Kubernetes clusters for orchestration of containers. Optimize container environments for scalability and performance. Automation and Scripting: Develop automation scripts for server provisioning, application deployment, and configuration management using tools such as Ansible, Chef, or Puppet. Implement automated monitoring, alerting, and reporting systems to track the performance and health of applications and infrastructure. Site Reliability Engineering (SRE): Ensure the reliability and availability of services through proactive monitoring, troubleshooting, and incident response. Establish SLAs, SLIs, and SLOs for critical services and drive initiatives to improve system reliability. Conduct root cause analysis on incidents and outages, implementing fixes and preventive measures. Collaboration and Communication: Work closely with development, QA, and operations teams to align on software releases and infrastructure needs. Ensure knowledge sharing and best practices within the team to foster a collaborative DevOps culture. Required/Preferred Skills: CI/CD Tools: Jenkins, GitLab CI, CircleCI, Travis CI, or similar. Cloud Platforms: AWS, Azure, GCP with expertise in managing multi-cloud environments. Containerization: Docker, Kubernetes, Helm. Automation Tools: Ansible, Chef, Puppet, or similar. Infrastructure as Code: Terraform, CloudFormation, or ARM templates. Monitoring & Logging: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Datadog. Version Control: Git, GitHub, GitLab. Scripting Languages: Python, Bash, PowerShell, or equivalent. Operating Systems: Proficiency in Linux and Windows server environments. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience). 3+ years of hands-on experience in DevOps, cloud infrastructure, and automation. Strong understanding of networking, security best practices, and system architecture. Certification in AWS, Azure, or GCP (preferred but not mandatory). Key Attributes: Problem-solving mindset with strong analytical skills. Ability to work in a fast-paced, collaborative team environment. Excellent communication and organizational skills. Passion for continuous learning and staying updated with the latest technologies.

Job Overview: We are seeking a skilled and motivated Software Developer to join our dynamic team. The ideal candidate will be responsible for designing, coding, testing, and deploying software solutions that meet the needs of our clients and drive our business forward. As a Software Developer, you will collaborate with cross-functional teams to deliver high-quality software products and contribute to the overall success of our projects. Key Responsibilities: Software Development: Design, develop, test, and maintain software applications and systems using modern programming languages and technologies. Code Quality: Write clean, scalable, and efficient code. Review and refactor code to ensure high performance and reliability. Collaboration: Work closely with product managers, designers, and other developers to understand requirements and deliver software solutions that meet business needs. Troubleshooting: Diagnose and resolve technical issues and bugs. Provide ongoing support and maintenance for existing applications. Documentation: Create and maintain comprehensive documentation for code, processes, and technical specifications. Testing: Implement and execute unit tests, integration tests, and automated testing to ensure software quality and performance. Innovation: Stay updated with the latest industry trends, technologies, and best practices. Propose and implement innovative solutions to improve software development processes. Version Control: Use version control systems (e.g., Git) to manage code changes and collaborate with team members. Requirements: Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience. Experience: from 3 years of professional experience in software development. Experience in specific technologies or industries is a plus. Programming Languages: Proficiency in Python, Java, JavaScript etc. Frameworks/Libraries: Experience with frameworks and libraries such as [e.g., React, Angular, Django]. Database Management: Knowledge of SQL and experience with relational databases (e.g., MySQL, PostgreSQL). Familiarity with NoSQL databases (e.g., MongoDB) is advantageous. Version Control: Proficiency in Git or other version control systems. Development Tools: Familiarity with development environments and tools like [e.g., Visual Studio Code, IntelliJ IDEA]. API Integration: Experience with designing, implementing, and working with APIs (RESTful, GraphQL). Testing: Knowledge of testing frameworks and practices (e.g., unit testing, automated testing). Cloud Platforms: Experience with cloud services (e.g., AWS, Azure) and containerization (e.g., Docker) is a plus. Soft Skills: Problem-Solving: Strong analytical skills and the ability to tackle complex technical challenges. Communication: Excellent verbal and written communication skills for effective collaboration and documentation. Teamwork: Ability to work collaboratively in a team environment and contribute to group efforts. Adaptability: Willingness to learn new technologies and adapt to changing requirements. Attention to Detail: Strong focus on code quality, accuracy, and thoroughness. Time Management: Ability to manage multiple tasks and projects effectively, meeting deadlines.

Trainee Data Scientist - No Experience Required Are you looking to kick-start a new career as a Data Scientist? We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.

We are looking for a passionate and enthusiastic Kids Coding Teacher to join our team at i2Tech Academy. The ideal candidate will have a love for technology, education, and a desire to inspire young minds in coding, game design, and robotics. You will be responsible for teaching coding concepts to children ages 6-15 through interactive lessons, projects, and hands-on activities. Key Responsibilities: Teach coding and programming: Deliver engaging lessons in coding languages like Scratch, Python, JavaScript, or other relevant programming tools tailored for kids. Plan and prepare lesson materials: Develop creative and interactive lesson plans aligned with curriculum standards and individual learning needs. Facilitate hands-on learning: Guide students through coding projects, game design, or robotics challenges, ensuring a fun, engaging, and safe learning environment. Monitor and assess progress: Track students' progress, provide feedback, and offer additional support as needed to ensure mastery of skills. Encourage critical thinking and problem-solving: Teach students how to break down problems, develop logical solutions, and foster computational thinking. Classroom management: Maintain a positive and structured classroom environment that promotes collaboration, curiosity, and respect. Stay current with technology: Continuously update personal knowledge of new coding tools, software, and teaching methods to keep lessons fresh and relevant. Engage with parents and guardians: Provide feedback on student progress and suggestions for further development through reports or parent-teacher meetings. Qualifications: Education: Bachelor’s degree in Computer Science, Information Technology, Education, or a related field (preferred but not required). Experience:Previous experience teaching kids or working with children in an educational or extracurricular setting. Knowledge of programming languages such as Scratch, Python, Java, or similar platforms used in kids’ coding programs. Experience in game design or robotics is a plus. Skills:Strong communication and presentation skills. Patience, creativity, and a passion for teaching young learners. Ability to explain complex concepts in a simple and engaging manner. Classroom management and organizational skills. Technical Skills: Familiarity with coding platforms, educational software, and the ability to troubleshoot basic technical issues. Work Environment: Friendly and supportive team atmosphere. Opportunities for professional development and growth in a technology-driven education environment. Flexible working hours based on class schedules.

We are seeking a Junior Data Analyst to join our dynamic team. This role is ideal for someone with a knack for numerical data, an analytical mindset, and the ability to translate complex information into actionable strategies. Key Responsibilities: Collect, process, and clean data from various sources to ensure accuracy and completeness. Perform preliminary analysis to identify trends, correlations, and patterns in complex data sets. Assist in the development and maintenance of databases, data systems – reorganizing data in a readable format. Work with management to prioritize business and information needs and provide routine reports. Assist with troubleshooting and correcting issues with data processes and reports. Help design and create data reports and reporting tools to help business executives in their decision-making. Collaborate with cross-functional teams to develop effective business intelligence strategies and analytics solutions. Qualifications: Proficiency in SQL and experience with programming languages such as Python or R. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Experience with data visualization tools such as Tableau, Power BI, or similar. Basic knowledge of machine learning techniques is a plus. Excellent written and verbal communication skills.