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

Apply Now

Senior Python Developer

London
8 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist | Python | SQL | Statistics | Machine Learning | Hybrid, Oxford

Senior Quant/Risk Professional - Machine Learning, Surveillance

Senior Data Scientist

(Senior) Data Scientist, Gaming

Senior Principal Data Scientist - Remote

(Senior) Data Scientist, Gaming

Software Engineer - Fully Remote - £100k - £120k

About the Role

I'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. The company employs around 150 skilled professionals globally including developers, data scientists, and strategists who are dedicated to elevating the platform. Trusted by a substantial user base, the company's modern tech stack and agile practices allow for rapid and efficient deployment of updates.

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

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

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 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.