At a Glance
- Tasks: Design and deploy bespoke AI agents for top-tier clients, solving complex business challenges.
- Company: Rapidly growing AI tech scale-up with a focus on innovation and collaboration.
- Benefits: Competitive salary, sizeable shares, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on client-centric problem-solving and real-world deployments.
- Why this job: Join a pioneering team and make a real-world impact with cutting-edge AI technologies.
- Qualifications: Strong foundations in data science, machine learning, and programming skills, preferably in Python.
The predicted salary is between 60000 - 80000 £ per year.
AI Engineer or Senior AI Engineer | AI Tech Start-Up | £60k-£100k DOE + Sizeable Shares | London/Hybrid (1 day a week in office) We are excited to be working with a rapidly growing AI tech scale-up that’s expanding its team with multiple AI Engineers.
The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making.
Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency.
The Role You’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises.
This isn’t your typical AI Engineering position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact.
You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools.
The Candidate Key attributes of a suitable AI Engineer or Senior AI Engineer include: Strong Data Science / MLE Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred.
Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows (heavily desired), and more.
Client-Centric Problem Solver – You’re confident engaging with clients and stakeholders, able to translate complex business problems into elegant, scalable AI solutions.
You’ve played a hands-on role in architecting and delivering real-world deployments.
