AI Engineer (LLMs, Agents & Data Science)

Talan; Greater London; On-site; GBP 30,000 - 42,000; Full time

Benefits offered by this job

BDP Plus

25 days holiday + bank holidays

Holiday buy/sell option

Private medical insurance

Life cover

Cycle to work

Job summary

Talan Data x AI is a leading Data Management and Analytics consultancy delivering AI and GenAI solutions to major clients across industries. This full-time associate role offers genuine responsibility from day one, exposure to real client problems, and a clear path into leadership.

You'll work on delivery across modern AI and MLOps, with client-facing engagement and collaborative problem solving. The role requires 2–4 years in data science/ML, Python proficiency, and experience with Azure and

Qualifications

• 2–4 years experience in data science, ML or AI engineering.
• Solid grounding in core data science and ML concepts.
• Hands-on with LLMs, prompting and RAG workflows.
• Experience with AI agents and orchestration.
• Strong Python skills and ML libraries.
• Good engineering habits and clear communication.
• Willingness to work on client sites and travel as needed.
• Eligibility to work in the UK without restriction.

Responsibilities

• Build, test, and deploy AI/ML components in client projects.
• Develop GenAI/LLM features including prompting and RAG.
• Deliver data science tasks: prep,Feature engineering, training, evaluation.
• Write clean, production-ready code from designs.
• Contribute to model eval, testing, and monitoring.
• Mentor junior team members and review their work.
• Help peers resolve technical problems and share knowledge.
• Participate in client discussions and communicate work clearly.

Skills

2-4 years experience

Python

ML/AI

LLMs & GenAI

Azure

MLOps

Tools

Python

AI Platforms

Job description

Salary: £29,500 - 42,000 per year

Requirements:

• Typically, 2–4 years experience in data science, machine learning, or AI engineering.
• Solid grounding in core data science and machine learning.
• Practical experience with LLMs and generative AI, including prompting and RAG.
• Familiarity with how AI agents are built and orchestrated.
• Strong Python skills and experience with common data and machine learning libraries.
• Good engineering habits.
• Clear communication skills and a collaborative team mindset.
• Willingness to work on client sites, potentially for extended periods.
• Willingness to travel for work purposes and stay away from home for extended periods.
• Eligibility to work in the UK without restriction.
• Exposure to cloud AI platforms, with Azure as a plus.
• Experience practicing MLOps and LLMOps.
• Early experience mentoring junior colleagues.
• Interest in consulting and client-facing delivery.

Responsibilities:

• Build, test, and deploy AI and machine learning components within client projects to the standards and designs set by senior colleagues.
• Develop GenAI and LLM-based features, including prompting, retrieval-augmented generation, and simple agentic workflows, alongside more traditional ML models.
• Deliver classical data science tasks such as data preparation, feature engineering, model training, and evaluation.
• Translate solution designs into clean, well-documented, production-minded code.
• Contribute to model evaluation, testing, and monitoring.
• Support and guide very junior and graduate resources, reviewing their work and helping them grow.
• Help peers unblock technical problems and share knowledge across the team.
• Take part in client and team discussions and communicate work clearly.

Technologies:

• AI
• AI Agents
• Azure
• Cloud
• Support
• LLM
• Machine Learning
• MLOps
• Model Training
• Python
• RAG

More:

We are Talan Data x AI, a leading Data Management and Analytics consultancy working closely with leading software vendors and top industry experts across a range of sectors to unlock value and insight from data. Innovation is at the heart of our client offerings, and we help companies improve efficiency with modern processes and technologies such as Machine Learning and Artificial Intelligence. This is a full-time consulting role at associate level, focused on delivery across modern AI and offering genuine responsibility from day one, exposure to real client problems, and a clear path into a leadership track. Our compensation and benefits package includes BDP Plus, 25 days holiday plus bank holidays, a 5-day holiday buy/sell option, private medical insurance, life cover, cycle to work scheme, eligibility for our pension scheme with a 5% employer contribution and salary sacrifice option, an employee assistance programme, and bespoke online learning via Udemy for Business.

last updated 36 week of 2026