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

Apply Now

Python Developer

Yolk Recruitment Ltd
London
8 months ago
Applications closed

Related Jobs

View all jobs

Quantitative Developer

Quantitative Developer Lead

Quantitative Developer

Data Analyst / BI Developer - Customer & Digital Analytics

Business Intelligence Developer

Business Intelligence Developer

Software Engineer - Fully Remote - £100k - £120kAbout the RoleI’m working on behalf of an innovative tech company that provides seamless digital solutions to support small business operations. Their platform simplifies essential tasks, leveraging advanced technology and outstanding service to help users excel. Geared towards freelancers, entrepreneurs, and small businesses, their solutions streamline workflows so users can focus on their core work.With automation at the heart of their mission, they enhance productivity by addressing routine challenges and making everyday tasks more efficient.

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 StackInfrastructure

: Google CloudDatabases

: Postgres (Cloud SQL, AlloyDB), MongoDB (Atlas)Messaging

: RabbitMQ (CloudAMQP)Microservices

: Kubernetes (GKE), mainly developed using modern async Python

What We’re Looking ForTechnical 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.

Careers Education

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Jobs

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

Careers

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.

🍪 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.