Data & AI Consultant

Jefferson Frank; City Of London; Remote; GBP 80,000 - 100,000; Full time

Job summary

A leading recruitment firm seeks a Data and AI Consultant to drive technical implementations and build production-quality proof of concepts for AI and data projects. Candidates must have experience in cloud data engineering and be comfortable with real-time data solutions. The position offers full remote work with an immediate start, ideal for professionals looking for a flexible engagement in a dynamic field.

Qualifications

• Experience in building production-quality proof of concepts (POCs) in data modernisation and AI.
• Strong capabilities in cloud platforms such as AWS and Azure.
• Proficiency in API development and real-time data processing.

Responsibilities

• Build three production-quality POCs demonstrating technical leadership.
• Deliver three flagship demonstrations in various technology domains.

Skills

Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory

Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC)

Vector Databases: Pinecone, Weaviate, or Chroma with LangChain integration

API Development: RESTful services, third-party integrations

Production Systems: Enterprise-grade monitoring, error handling, cost optimisation

Job description

Overview

Data and AI Consultant. We are looking for a technical implementer to build designs on the project. The architecture, analytics strategy, governance framework, and client-facing expertise will be provided. This candidate will execute the vision.

Responsibilities

• Build three production-quality POCs that demonstrate technical leadership in data modernisation, AI-powered insights, and systems integration.
• Serve as a senior data engineer to deliver three flagship demonstrations: (1) Real-time Azure-to-AWS migration showcase (client-ready demo), (2) AI-powered email intelligence system with natural language querying, (3) Document validation integration POC with a working interface.

Essential skills

• Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory
• Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC)
• Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration
• API Development: RESTful services, third-party integrations
• Production Systems: Enterprise-grade monitoring, error handling, cost optimisation

Engagement details

• Outside IR35
• Fully Remote
• Immediate start
• 3-6 Month Contract
• Please send CVs to me if you meet the requirements