ai & data - ai / ml engineer
Posted Today by Randstad
£550 Per day
Undetermined
Undetermined
london, london
Summary: The role of AI/ML Engineer involves designing, building, and deploying production-grade AI systems within complex enterprise environments. The ideal candidate will have a strong technical background and a passion for creating scalable, cloud-native solutions. Responsibilities include architecting AI applications, managing agent-based workflows, and ensuring system integration and production excellence. A consulting background and expertise in AI/ML are essential for success in this position.
Key Responsibilities:
- Architect and launch robust, scalable, cloud-native AI applications.
- Implement, optimize, and manage advanced agent-based AI workflows and LLM integrations.
- Seamlessly integrate diverse AI platforms and tools into existing enterprise ecosystems.
- Ensure all AI-driven systems are secure, performant, and built for production scale.
Key Skills:
- Proven experience working within a Big 4, top-tier management consulting, or engineering consulting environment.
- A strong tertiary qualification (Degree/Master's) in Computer Science, Engineering, Mathematics, or a highly related technical discipline.
- Hands-on software engineering background with a strong focus on AI/ML and cloud-native development (AWS, GCP, or Azure).
- Deep understanding of modern AI platforms, API integration, and agent-based system architecture.
- A strong track record of transitioning AI concepts into reliable, enterprise-grade production systems.
Salary (Rate): £550 per day
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
AI & Data - AI / ML Engineer
Overview We are seeking a highly technical, hands-on AI Native Software Engineer to design, build, and deploy production-grade AI systems for complex enterprise environments. If you are passionate about building scalable, cloud-native solutions and pioneering agent-based workflows, we want you on our team.
Key Responsibilities
Design & Deploy: Architect and launch robust, scalable, cloud-native AI applications.
Agentic Workflows: Implement, optimize, and manage advanced agent-based AI workflows and LLM integrations.
System Integration: Seamlessly integrate diverse AI platforms and tools into existing enterprise ecosystems.
Production Excellence: Ensure all AI-driven systems are secure, performant, and built for production scale.
What You Bring
Consulting Background: Proven experience working within a Big 4, top-tier management consulting, or engineering consulting environment.
Education: A strong tertiary qualification (Degree/Master's) in Computer Science, Engineering, Mathematics, or a highly related technical discipline.
Technical Expertise: Hands-on software engineering background with a strong focus on AI/ML and cloud-native development (AWS, GCP, or Azure).
AI Architecture: Deep understanding of modern AI platforms, API integration, and agent-based system architecture.
Delivery Focus: A strong track record of transitioning AI concepts into reliable, enterprise-grade production systems.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.