Python Developer

Collabera Digital
UK
1 year ago
Applications closed

Related Jobs

View all jobs

MLOps Python Engineer - SageMaker & AWS

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

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.

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.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.