National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

AI Software Engineer

London
1 week ago
Create job alert

About Us:

We are recruiting for a fast growing UK based AI Start up who are AI driven software solutions in financial crime amongst other areas. Be part of a passionate, collaborative team who enable intelligent decision and are constantly making better and better solutions through AI and advanced analytics. They help organisations turn complex data into actionable insight. They're ambitious, they think things through and are on a mission to see how far they can go.

The Role:

They're looking for a skilled AI Software Engineer who is ready to the design, development, and deployment of secure AI powered systems. You'll be at the heart of a diverse, multidisciplinary and fast paced team to integrate ML models into robust, mission ready software environments. you'll contribute to cross-disciplinary discussions, ensuring AI solutions align with business goals and operational needs. Your expertise will help close the gap between advanced machine learning research and its practical, real-world implementation to drive impactful results. If you're eager to contribute to meaningful AI solutions and grow your career in a innovative environment, we'd love to hear from you.

Responsibilities:

Design and implement scalable backend services for AI model deployment in secure environments
Collaborate with data scientists and defence analysts to productionise ML models (e.g., for threat detection, anomaly detection, autonomous systems, or decision support tools)
Build and maintain secure APIs and infrastructure using Python (FastAPI/Flask), Docker, and Kubernetes
Contribute to DevSecOps workflows including automated testing, monitoring, and continuous integrationRequirements:

3+ years of experience in software engineering, with a focus on AI/ML integration
Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
Strong grasp of software architecture and microservices
Experience working in containerised environments (Docker, Kubernetes)
Familiarity with CI/CD pipelines, secure deployment practices and cloud deployment (e.g., AWS/GCP/Azure)
Bachelor's degree in Computer Science, Engineering, or equivalent practical experienceDesirable:

Experience with LLMs or transformer-based architectures (e.g., OpenAI, Mistral, or custom-trained models)
Familiarity with tools such as Airflow, Spark, or Dask for large-scale data processing
Awareness of AI ethics, data privacy, and legal considerations in high-stakes environments

People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas

Related Jobs

View all jobs

Senior Data Scientist – NLP & MLOps

AI Engineer

Principal Software Engineer

UKIC DV - Full Stack Software Engineer

Senior Software/Data Engineering Lead

Lead Software Engineer

National AI Awards 2025

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.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.