Senior ML Engineer - GenAI & Full-Stack Production Apps

The Trust; Southill; On-site; GBP 90,000 - 150,000; Full time

Job summary

The Trust is seeking a Senior Machine Learning Engineer to build scalable, production-ready applications that fuse software engineering with GenAI. You will turn prototypes and RAG pipelines into reliable enterprise-grade software, delivering secure and scalable AI-enabled systems.

You will deploy end-to-end solutions, design robust APIs, and implement agentic workflows with LangChain, LangGraph or CrewAI, while leveraging AWS, Docker, Kubernetes, and CI/CD pipelines.

Qualifications

• 10+ years of software engineering experience.
• 4-6 years delivering ML or GenAI solutions in production.
• Advanced Python skills and experience with other languages.
• Full-stack development experience with modern frameworks.
• Hands-on with RAG pipelines, embeddings and vector databases.
• Experience with agentic frameworks and AWS-based DevOps.
• Focus on secure, scalable, production-ready software.

Responsibilities

• Develop full-stack applications integrating ML and GenAI capabilities.
• Build and deploy RAG pipelines, embeddings and vector search.
• Design scalable APIs, microservices and cloud-native apps.
• Implement agentic workflows using LangChain, LangGraph or CrewAI.
• Develop and deploy solutions using AWS and modern DevOps practices.
• Ensure applications are secure, reliable, scalable and production-ready.
• Implement automated testing, CI/CD, monitoring and observability.
• Evaluate emerging AI technologies and opportunities for business adoption.

Skills

Senior software engineering

Production ML/GenAI delivery

Python & other languages

Full-stack development (React/Next.js/

Distributed systems & CI/CD

Security & Responsible AI

Communication & problem solving

Tools

Pinecone

FAISS

Weaviate

LangChain

LangGraph

CrewAI

AutoGen

AWS

Docker

Kubernetes

CI/CD tooling

OpenTelemetry

Prometheus

Grafana

Job description

The Trust is seeking a Senior Machine Learning Engineer to build scalable, production-ready applications that fuse software engineering with GenAI. You will turn prototypes and RAG pipelines into reliable enterprise-grade software, delivering secure and scalable AI-enabled systems.

You will deploy end-to-end solutions, design robust APIs, and implement agentic workflows with LangChain, LangGraph or CrewAI, while leveraging AWS, Docker, Kubernetes, and CI/CD pipelines.