AI Engineer - up to £80,000 Benefits - Hybrid - London
AI Engineer Salary: Up to £80,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to Friday
A globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value.
The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives.
Responsibilities for the AI Engineer:
- Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelines
- Build, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-ready
- Deliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirements
- Integrate AI systems with existing enterprise platforms ensuring stability and seamless operation
- Collaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutions
- Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development
- Lead implementation of engineering standards across AI and ML delivery
- Stay current with emerging AI technologies and contribute to continuous innovation
Essential Skills for the AI Engineer:
- Strong proficiency in Python with extensive experience using AI, ML and NLP libraries
- Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation
- Practical experience with core Generative AI frameworks and agent-based AI frameworks
- Strong experience with MLOps and LLMOps tooling including model lifecycle management
- Proven deployment experience on major cloud platforms including AI and ML services
- Solid foundation in software engineering principles for scalable, production-grade systems
- Experience designing and delivering enterprise AI solutions including RAG-based architectures using vector databases
- Proven experience delivering full-stack AI or ML systems within enterprise environments
- Strong understanding of advanced agent architectures, reasoning systems and autonomous workflows
- Excellent communication and stakeholder management capability
- Experience supporting proposals, client-facing discussions or technical presentations
If you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance.
AI, Artificial Intelligence