Lead AI Engineer, Hybrid, £700 Pd Inside )

SmartSourcing plc; City Of London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading technology consultancy is seeking a Lead Applied AI Engineer for a 6-month contract. The role involves developing production-ready AI solutions, mentoring colleagues, and collaborating with teams in a dynamic environment. The ideal candidate should have strong proficiency in Python and experience in deploying systems in cloud environments. This hybrid role requires occasional travel to London and offers a competitive rate of £700 per day.

Qualifications

• Proficiency in Python required for building applications.
• Strong emphasis on production-ready systems is crucial.
• Experience with cloud environments is necessary.

Responsibilities

• Lead the AI programme to enhance public service interactions.
• Deliver production-ready AI solutions and products.
• Mentor colleagues and collaborate within technical teams.

Skills

Proficiency in Python

Strong software engineering skills

Experience deploying and monitoring systems

Familiarity with tools for Large Language Models

Experience with NLP and deep learning

Experience with Docker

Job description

Overview

Lead Applied AI Engineer - 6 month contract - £700 pd Inside IR35 - Hybrid 2-3 days on site.

This role is Hybrid and can be based in London, Bristol or Manchester. The candidate would be expected to travel to London ad hoc for meetings as needed.

Responsibilities

• Play a central role in the AI programme, an ambitious initiative shaping how people interact with public services and improving customer experience across government.
• Build and deliver production-ready AI solutions, including AI agents or products that rely on AI agents.
• Develop tools and interfaces for AI applications and train traditional machine learning and deep learning models.
• Collaborate with technical teams, upskill and mentor colleagues, and help resolve conflicts where necessary.
• Explain complex technical concepts clearly to both technical and non-technical audiences.

Qualifications / Experience

• Proficiency in Python.
• Strong software engineering skills with a focus on production-ready systems.
• Experience deploying and monitoring systems in a cloud environment.
• Familiarity with tools for working with Large Language Models via API or in a local context.
• Experience with NLP, deep learning, and generative AI.
• Passion for building products that augment human capabilities.
• Experience delivering applications to production.
• Hands-on experience with containerisation technologies such as Docker.
• Experience designing software services with respect to infrastructure, databases, messaging queues, cloud environments, and collaboration with existing services.
• Ability to train and work with AI models and related tooling.