Python Developer

Collabera Digital
UK
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning/Python Developer

Senior Data Scientist

Data Engineer, Data Engineer Data Analyst ETL Developer BI Developer Big Data Engineer Analytics Engineer Data Platform Engineer Cloud Data Engineer Azure Data Engineer Data Integration Specialist DataOps Engineer Data Pipeline Engineer

Quantitative Researcher - Trading & Machine Learning

Experienced Recruitment Consultant – Artificial Intelligence & Bio Artificial Intelligence Manchester (Hybrid)

Data Scientist

Job Description: Design, develop, and maintain scalable and secure Python-based applications and services. Collaborate closely with cross-functional teams to define, design, and deliver new features. Implement robust, scalable, and high-performance services. Optimize and refactor existing code to improve performance and maintainability. Develop and maintain data processing pipelines, APIs and applications Ensure all Python code adheres to best practices, including code quality, version control, and security standards. Conduct code reviews and provide mentorship to junior engineers. Troubleshoot and debug complex issues in development and production environments. Create and maintain standards for stable Python environments and packages. Stay updated with the latest Python libraries, frameworks, and trends, applying them as necessary to improve the codebase. Required Skills: Proficiency in developing in the Python ecosystem, including packaging and deploying Python full stack applications and supporting stable Python environments Experience with the latest frameworks and language features. Core Python, Dash, Flask, PyTest etc. Understanding of RESTful API design and development, development of libraries packages and SDK’s Experience with SQL (SQL Server and Oracle would be an advantage), good working knowledge of Git. Experience with cloud platforms (Azure an advantage) and low code python frameworks (Anvil and advantage). Understanding of security/authentication/authorisation considerations in deploying Python in a Microsoft environment Experience in supporting sophisticated business users in Python development. Understanding of micro services style architecture and containerization technologies like Docker and Kubernetes. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to work collaboratively in a team environment. About Us: Collabera Digital is a Leading Digital Solutions company providing Software Engineering Solutions to the world’s most tech-forward organizations. With more than 25 years of experience, we have hired over 17000 employees across 60 offices globally and currently place 10000 professionals annually to support critical IT engagements at more than 500 client sites, 80% being the Fortune 500. {and 59% of the Fortune 50 (could use either stat)} With Collabera Digital, you: Will get to work on numerous challenging and exciting projects, including UI/UX transformation, Blockchain, AI/Data Science, Cloud migrations, Cyber-Security and Engineering. At Collabera Digital you have 80% chance of project extension or redeployment to other clients Will have endless opportunities to learn new technologies through our in-house Training arm – Cognixia.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.