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Python Developer

Yolk Recruitment
Grangetown
10 months ago
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Software Engineer - £100k - £120k - Fully Remote Are you ready to transform the landscape of business solutions for freelancers and SMEs in the UK? Join one of the fastest-growing fintech companies and be a part of a revolution. If you're a passionate software engineer, this is your chance to make a real impact while working fully remotely About the Company Our client is at the cutting edge of fintech innovation,that simplifies the lives of freelancers and small business owners. By integrating advanced AI technology with exceptional customer service, they empower users to focus on growing their businesses. Why Join? Innovative Environment: Be part of a team that's at the forefront of fintech innovation. Impactful Work: Help automate and simplify the tedious tasks small business owners face daily. Tech-Forward: Work with the latest tech and methodologies, deploying code to production up to 750 times a month. Diverse Team: Join a talented group of around 150 professionals, including software developers and data scientists. Trusted by Many: Over 100,000 customers rely on this service for their banking and administrative needs.The Tech Stack Infrastructure: Google Cloud Databases: Postgres (Cloud SQL, AlloyDB), MongoDB (Atlas) Messaging: RabbitMQ (CloudAMQP) Microservices: Kubernetes (GKE), mainly developed using modern async PythonWhat We're Looking For Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Minimum of 5 years of professional software development experience, with a focus on building complex back-end systems. Technical Skills: Proven experience of building complex distributed backends in Python, or in one of the following programming languages and be ready to switch to Python: C#, C/C++, Go, Rust or Java. Knowledge of basic data structures and algorithms. Strong understanding of event-driven architecture: design/implementation of event-driven systems, addressing the challenges it brings. Solid concurrent programming experience. In-depth experience with Postgres (or with any other database): indexing issues resolution, concurrency control, fail-over mechanics, etc. Being a top individual contributor while effectively collaborating with teammates and fellow software engineers from other teams

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The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.