Artificial Intelligence Engineer

🤖 AI Engineer Specialist | London | Hybrid Working

Are you an experienced AI Engineer ready to take ownership of advanced AI delivery within a fast-growing data and analytics environment? Do you want to help shape how AI is designed, deployed, and scaled across real-world, mission-critical products?

We are looking for a highly skilled AI Engineer Specialist with strong communication ability, hands-on AI engineering experience, and a passion for delivering impactful solutions. In this role, you will contribute to both the technical leadership and strategic development of the AI capability, helping drive innovation across the business.

🔧 What You’ll Be Doing

• Lead the development, optimisation, and deployment of machine learning, deep learning, generative AI, and agentic AI models
• Design and maintain robust AI and data pipelines , including model monitoring, automation, scalability, and performance improvements
• Collaborate with cross-functional teams to translate business goals into production-ready AI solutions
• Experiment with and integrate LLMs, agent frameworks, and reasoning-based systems into real-world applications
• Support and mentor junior team members on engineering standards, model quality, and best-practice delivery
• Champion responsible AI , ensuring transparency, versioning, documentation, and evaluation at every stage

🌟 What We’re Looking For

• Degree in Computer Science, AI, Data Science, Mathematics or a related field (Master’s desirable)
• 3–5 years’ hands-on experience delivering AI or ML solutions in production environments
• Proven expertise with Generative AI + Agentic AI , including frameworks such as LangChain, Hugging Face, or equivalent
• Strong Python engineering skills, with experience building, testing, and deploying high-quality models and pipelines
• Familiarity with Snowflake and Databricks , as part of modern cloud-native data engineering workflows
• Good understanding of MLOps practices including CI/CD, model monitoring, observability and version control
• Excellent communication and stakeholder-engagement skills, able to translate technical ideas into measurable value
• A growth and leadership mindset - confident in driving forward innovation, standards and team development

💼 What You Can Expect

• Hybrid working with excellent collaboration opportunities
• A culture built on learning, curiosity, experimentation, and high-quality delivery
• Ability to influence technical direction and shape long-term AI strategy
• Opportunity to work with modern tooling, cloud platforms and emerging AI technologies
• Supportive environment focused on wellbeing, growth, and professional development

🚀 Ready to Join?

If you’re driven by innovation, energised by real-world AI applications, and excited by the opportunity to help build and guide a modern AI engineering capability - we’d love to hear from you.

Apply with your CV and, if available, links to any GitHub, projects, or portfolios showcasing your work.