AI Engineer - up to £85,000 Benefits - Hybrid - London
AI Engineer Salary: Up to £85,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per week - Full time
A globally renowned organisation is seeking an AI Engineer to join a forward-looking innovation function focused on rapid experimentation, applied artificial intelligence and real-world delivery. This role offers the opportunity to design, build and demonstrate AI solutions that address complex business challenges across multiple domains.
The position is well suited to a hands-on engineer who enjoys fast-paced environments, collaborative problem-solving and working across the full lifecycle from concept through to demonstrable outcomes.
Responsibilities for the AI Engineer:
- Design and deliver AI-powered proof-of-concept solutions, MVPs and prototype demonstrations within short innovation cycles
- Lead technical delivery during workshops, discovery sessions and innovation sprints
- Build and deploy machine learning and generative AI solutions using large and small language models plus vision and image-based models
- Develop lightweight APIs within serverless or PaaS environments to support rapid integration and demonstrations
- Work across varied business contexts, quickly understanding requirements and adapting AI approaches accordingly
- Evaluate emerging AI tools frameworks methodologies plus create reusable components to accelerate future delivery
- Engage directly with stakeholders to gather requirements, present findings and explain technical outcomes clearly
- Apply security, data protection and AI safety principles across all delivered solutions
Essential Skills for the AI Engineer:
- Strong experience with Python plus JavaScript
- Hands-on experience with AI-assisted development tools
- Experience building RESTful APIs using frameworks such as Flask or Django
- Strong SQL capability including PostgreSQL or MySQL plus experience with vector databases
- Experience working with microservices or serverless architectures
- Practical exposure to machine learning plus generative AI models including LLMs SLMs vision models
- Familiarity with AI frameworks such as RAG LangChain LlamaIndex plus agentic frameworks
- Hands-on cloud experience within Azure or AWS plus CI/CD tooling and Git
Desirable Skills for the AI Engineer:
- Experience using Pandas NumPy or PyTorch
- Exposure to NodeJS VueJS or equivalent frontend technologies
If you are an AI Engineer with strong hands-on capability and a passion for applying modern AI technologies to real business challenges, please apply in the immediate instance.
AI, Artificial Intelligence