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

Apply Now

Backend Software Engineer Python AI SaaS

Client Server
London
1 year ago
Applications closed

Related Jobs

View all jobs

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer...

AI/MLOps Platform Engineer...

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

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.