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

Apply Now

Senior Python Engineer – AI Unicorn – London Scale Up

Propel London
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer (Credit Risk)

Machine Learning Engineer - UK

Artificial Intelligence Engineer

Senior Data Engineer (AI & MLOps, AWS, Python)

Machine Learning Engineer – AI for Grid Innovation & Energy Transition (Energy Sector Experienc[...]

Job Description

The Role

As a senior backend python engineer for this Computer Vision Scale up you will build highly scaleable data intensive cloud based services and infrastructures that power AI based systems. You will be part of a multidisciplinary team where each member is given responsibility to work on every aspect of the system building projects from system design through to deployment. You will build a mixture of data pipelines, microservices, APi’s and Single web applications that power these systems at scale. You will have the opportunity to work alongside some of the best engineers in the industry who are willing to share their wealth of experience.

About you

As a senior backend python engineer for this AI Unicorn Landing in London you will have a number of skills that will help you succeed in this role.

You will –
-Have strong backend engineering experience in any language but be willing to work in Python.
-Have experience building Scalable microservices and data pipeline systems.
-Have experience with SQL and No SQL databases
-Strong experience working in a cloud environment.
-Be a team player!

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 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.

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.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.