ML & AI Engineer

DCV Technologies Limited
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Temporary contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Google BigQuery
Continuous Integration
Data Flow Control
Python
Machine Learning
Google Cloud Platform
Chatbots
Large Language Models
Multi-Agent Systems
Prompt Engineering
Spark
Generative AI
Data Pipelines
Microservices

Job description

We are seeking a Machine Learning / AI Engineer to help build and deploy production-grade generative AI and LLM systems powering next-generation conversational digital experiences. This role focuses on designing and engineering LLM applications, RAG pipelines and scalable AI infrastructure using Python and Google Cloud (GCP). You will work on cutting-edge agentic AI and conversational AI platforms, building services that support intelligent assistants and automated customer interactions., + Build and deploy LLM-based applications and generative AI solutions

  • Develop RAG (Retrieval Augmented Generation) pipelines
  • Engineer scalable microservices-based AI platforms
  • Design and maintain data pipelines using Python and Spark
  • Implement CI/CD pipelines for machine learning and AI systems
  • Work with GCP services including Vertex AI, BigQuery, Dataflow, Spanner and Firestore
  • Contribute to prompt engineering, LLM evaluation and monitoring
  • Build integrations between AI agents and enterprise systems

Requirements

  • Strong Python development experience

  • Experience building LLM or generative AI applications

  • Knowledge of RAG pipelines and prompt engineering

  • Experience with microservices architecture and CI/CD

  • Hands-on experience with Google Cloud Platform (GCP)

  • Familiarity with Spark or large-scale data pipelines Nice to Have

  • Experience with LangChain, LangGraph or agentic AI frameworks

  • Knowledge of multi-agent architectures or AI orchestration

  • Experience building production AI platforms This is an opportunity to work on large-scale AI engineering challenges, delivering production AI systems and intelligent digital assistants using modern LLM, generative AI and cloud-native technologies.

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