Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Python Developer

Yolk Recruitment
Grangetown
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist Python Software - London (IT) / Freelance

Data engineer(Python focused with trading background)

Software Developer (Machine Learning for ALS Diagnosis)

Power BI Developer / Data Analyst

Data Engineer

Data Engineer

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

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.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Jobs

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.