Senior AI Engineer - Agentic AI, ML, GCP job opportunity at Qodea.

Home Jobs In United Kingdom Tag: ML, GCP Senior AI Engineer - Agentic AI, ML, GCP position at Qodea


Date2025-12-30T13:31:10.170Z bot
Qodea Senior AI Engineer - Agentic AI, ML, GCP
Experience: General
Pattern: Full-time
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ML, GCP

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loacation London, United Kingdom
loacation London....United Kingdom

Work where work matters. Elevate your career at Qodea, where innovation isn't just a buzzword, it's in our DNA. We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet. You will join the exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.

 Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you’ll be proud to tell your friends about.

 Qodea is built for what’s next. An environment where your skills will evolve at the frontier of innovation and AI, ensuring continuous growth and development.

 Due to several significant client wins, we are looking to connect with Senior AI Engineers to design, build, and productionise autonomous, agentic AI systems that deliver measurable product and business outcomes. You will translate high-level objecives into reliable, safe, and efficient agent architectures using LLMs, retrieval, and orchestration layers. We look for people who embody: Innovation to solve the hardest problems. ‍ Accountability for every result. ‍ Integrity always. We believe our best work happens when we connect. While we operate a flexible model, we expect you to spend 60% of your time on-site at our London office or a client location for collaboration sessions and workshops. About the role. Architecting Autonomy: Design and implement agentic AI architectures, including LLM-driven agents and executors, to solve product-level problems. GCP Integration: Integrate agent stacks with Google Cloud Platform services like Vertex AI and BigQuery to establish scalable deployment patterns. End-to-End Ownership: Develop and own pipelines for model training, fine-tuning, and retrieval-augmented generation (RAG). Performance and Safety: Define evaluation metrics for performance and correctness while implementing robust safety guardrails and content filtering. Strategic Collaboration: Work closely with product managers and engineers to translate requirements into deliverable solutions. Mentorship: Mentor engineers and share best practices for agent design and GCP operations. We are looking for individuals who can demonstrate a track record of technical excellence and tangible delivery: Demonstrable experience building production LLM-driven or agentic systems, such as multi-step agents or RAG pipelines. Strong practical experience with Google Cloud Platform components relevant to AI/ML, specifically Vertex AI and BigQuery. Proficiency in ML engineering and software engineering, including Python, PyTorch or TensorFlow, and model fine-tuning. Extensive experience with retrieval systems and embeddings, including semantic search and vector stores. Demonstrated experience applying MLOps practices, such as model versioning, monitoring, and building reproducible pipelines.

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