ML/AI Software Engineer

and Computer Vision to join an incredibly exciting start-up in London, which is currently in stealth mode developing pioneering technology in the security and media analysis space. Joining a company founded by experts in their field – with a proven track record of building successful start-ups – this offers the chance to work in an environment filled with technological innovation and a cutting-edge tech stack. This is a unique opportunity to join at this early stage, receiving equity in the business, while helping shape and develop the products during this innovative R&D phase. Location: Central London, UK – mostly onsite (4–5 days per week) Salary: £45,000 – £90,000 per annum (dependant on experience level) + equity in the business Requirements for AI/ML Software Engineer: Experience in an Artificial Intelligence Software Development role with exposure to areas like computer vision, audio processing, and generative AI systems Ideally, you will be educated to PhD level, or you have experience working in a start-up environment Excellent academic history, ideally including a 2.1 or First in a STEM degree from a leading university, plus strong A-Level (or equivalent) results Able to use Claude/Codex to build, rather than just ML model research Proficient in programming – the current stack includes Python, C++, Go, and AWS. Experience with cloud-native systems, edge ML, or tools for audio/video analysis would be a bonus Strong problem-solving ability Keen to work in a fast-paced R&D start-up environment (as opposed to a large corporate setting) Responsibilities for AI/ML Software Engineer: Exciting early-stage development of prototyping products within a growing R&D team Design and development of Machine Learning / Artificial Intelligence / Computer Vision-related video & audio software Work with generative AI tools and contribute to prompt engineering for intelligent media processing Collaborate with experienced engineers to design systems for anomaly detection, audio transcription, and event-based alerts Shape early-stage infrastructure for analysing and streaming audio/video data at scale Optimise code for performance, scale, and maintainability Work in an environment focused on continuous improvement What this offers: An opportunity to join a success story in the making with a team who have realised big success in other start-ups Working on a cutting-edge stack in a highly innovative environment Hands-on mentorship and opportunities to rapidly grow your technical expertise in a high-trust, collaborative environment Great remuneration and equity in the business Applications: If you would like to enquire about this unique Software Engineer opportunity, we would love to hear from you. Please send an up-to-date CV including details of your online repository via the relevant link. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing applications@redtech-recruit.com . RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists. Even if the above role isn’t of interest, please visit our website to see our other opportunities. We are an equal-opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Keywords: AI/ML/CV Development Engineer / AI Software Engineer / Machine Learning Engineer / Computer Vision Engineer / AI Research Engineer / ML Research Engineer / Computer Vision Software Developer / AI Systems Engineer / Machine Learning Solutions Architect / AI/ML Engineer / Deep Learning Engineer / AI Algorithm Engineer / Machine Learning Specialist / Vision Systems Engineer / AI/ML Software Developer / Computer Science / C / Java / Python / C# / JavaScript / Go / Golang / Kotlin / Docker / Programmer / Software Engineer / Software Developer / Programming / Coding / programmer / LLM / NLP / Audio / Signal Processing / Deep Learning