Backend Software Engineer Python AI SaaS

Client Server
London
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer - Data (Basé à London)

Senior Full Stack Engineer (React, .NET)

Software Engineer II - (ML)

AI Engineer - Machine Learning LLM

Principal Software Architect (Basé à London)

Full Stack Developer

Backend Software Engineer / Developer (Python AI SaaS) 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 Backend 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 Backend Software Engineer 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

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Careers Jobs

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.

Jobs

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.

🍪 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.