AI Engineer / Data Scientist

AI Engineer / Data Scientist (x2) - Inside IR35

Location: UK (London & Bristol, 1-2 days onsite per week, flexible)
Clearance: BPSS eligible prior to starting
Engagement: Contract
Submissions: Strictly max 2 profiles initially

Overview

We're seeking two experienced AI Engineers / Data Scientists to join a high‑impact consulting programme delivering advanced AI, automation, and analytics solutions for a major enterprise client. This is a challenging environment requiring deep technical capability, excellent communication skills, and the ability to lead end‑to‑end AI initiatives while influencing stakeholders.

You'll work across London and Bristol (flexible), collaborating with consultants, engineers, and client teams to design, build, and deploy AI solutions that drive measurable business value.

Key Responsibilities

Lead end‑to‑end AI solution delivery from discovery and prototyping through to production deployment.
Translate complex data into clear insights and strategic recommendations.
Collaborate with cross‑functional teams including engineers, consultants, and senior client stakeholders.
Develop, optimise, and maintain machine learning models, statistical analyses, and AI systems.
Support business development through proposal input, solution design, and presentations.
Mentor and support junior data scientists and analysts.
Keep up to date with the latest ML, LLM, NLP, and AI engineering advancements.

Required Skills & Experience

Full AI Project Lifecycle: Proven experience delivering AI projects from research to production, with strong stakeholder management.
Advanced ML & Analytics: Proficiency in Python and frameworks such as TensorFlow, PyTorch, Keras, Hugging Face.
NLP & LLM Expertise: Strong experience with NLP, unstructured data, foundation models, and large language models.
AI Engineering Tools: Experience using modern AI engineering tools (e.g., GitHub Copilot, Amazon CodeWhisperer).
Cloud & Data Platforms: Knowledge of Kubernetes and major cloud services (AWS, Azure, GCP, IBM Cloud), plus SQL & NoSQL databases (SQL, Postgres, DB2, MongoDB).

Preferred Skills

Expertise in one or more of: NLP, Image Processing, Video Analytics, Voice/Audio Processing, Watson technologies.
Familiarity with modern UI frameworks (React, Angular, Backbone, Ember, jQuery, Bootstrap).
Experience working across multiple operating systems (Linux, Windows, iOS, Android).
PhD or equivalent hands-on experience in Data Science, Computer Science, Statistics, or similar (preferred but not essential)