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

Apply Now

Senior Python Software Engineer AI SaaS

Client Server Ltd.
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist/Senior Data Scientist - Generative AI

Senior Data Scientist

Senior MLOps / Machine Learning Engineer: LLMs & Agentic AI - Reply

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

Senior Software Engineer, Machine Learning

Senior Software Engineer, Machine Learning

Senior Python Software Engineer / Developer London onsite to £130k Are you a backend technologist who has expertise with Python looking for an opportunity to work on complex and interesting AI based systems? You could be progressing your career at a growing tech start-up as they expand their UK presence (already highly successful in the US); the product is an AI driven intelligent video security that can be integrated to current systems and enables things like searching for particular people and licence plates. As a Senior Python Software Engineer you will be instrumental in helping the company to scale its current platform and have responsibility for large parts of the backend code base. You'll design and implement APIs, databases and data pipelines, taking ownership of delivery of features and debugging issues. You will be the first Python hire within the business, you'll be collaborating with C++ Engineers, the Front End team and Machine Learning Engineers and can shape your role as it progresses and the company continues to grow. Location / WFH: You'll join a small, growing team based in Bank, London onsite five days a week, working hours between 1000 and 1800. About you: You're a skilled Software Engineer / Developer with a thorough knowledge of Computer Science fundamentals such as OOP, Data Structures, Design Patterns You have advanced level Python coding skills You have a good knowledge of databases such as Postgres and Redis You have experience of scaling a product to a large global user base You have experience of building and optimising APIs You're a senior engineer with experience of leading technical projects It would be advantageous to have experience with Edge / IoT computing You're keen to work in a start-up environment where you can make a real impact You are degree educated in Computer Science or similar relevant discipline from a top tier university (Oxbridge / Russel Group) What's in it for you: As a Senior Python Software Engineer / Developer you will earn a competitive package: Competitive salary to £130k Equity shares Medical, Dental and Optical insurance Continuous career development Opportunity to be a founding member Apply now to find out more about this Senior Python Software Engineer / Developer (AI SaaS Python) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

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.