AI Engineer (LLMs, Agents & Applied Data Science)

Talan; City Of London; On-site; GBP 60,000 - 85,000; Full time

Benefits offered by this job

BDP Plus sabbatical points

25 days holiday + bank holidays

5 days holiday buy/sell

Private medical insurance

Life cover

Cycle to work scheme

Pension scheme (5% employer)

Employee assistance programme

Udemy for Business

Job summary

Talan Data x AI in the United Kingdom is seeking a capable AI Engineer to own hands-on work on client engagements, building and deploying AI components under senior guidance. You will contribute to GenAI features and traditional ML, writing clean, production-ready code while mentoring graduate colleagues.

From data preparation to model evaluation, you will participate in client discussions and help shape delivery plans.

Qualifications

• Typically 2-4 years' experience in data science, ML, or AI engineering.
• Solid grounding in core data science and ML.
• Practical experience with LLMs and generative AI, including prompting and RAG.
• Familiarity with Python and common data/ML libraries; good engineering habits.

Responsibilities

• Build, test, and deploy AI and ML components within client projects to standards set by seniors.
• Develop GenAI and LLM-based features alongside traditional ML models.
• Deliver classical data science tasks on projects that call for them.
• Translate solution designs into clean, production-minded code.
• Contribute to model evaluation, testing, and monitoring.
• Guide very junior and graduate resources, reviewing their work.
• Help peers unblock technical problems and share knowledge across the team.
• Take part in client and team discussions and communicate your work clearly.

Skills

Data science fundamentals

Python programming

LLMs & GenAI

Mentoring juniors

Tools

Python

Azure

MLOps

LLMOps

Job description

software.This is a delivery-focused role that sits a level below our Lead Data Scientists. You will own meaningful workstreams within a project rather than the whole engagement, working to an architecture and plan shaped by more senior colleagues. In return, you will gain breadth across modern AI, exposure to real client problems,You will also be a supportive presence within the team, helping your peers solve problems, sharing what you learn, and giving day-to-day guidance to graduate and junior resources working alongside you.

Required skills & experience:

• 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 (prompting, retrieval-augmented generation, and simple agentic workflows) alongside more traditional ML models.
• Deliver classical data science tasks (data preparation, feature engineering, model training, and evaluation) on projects that call for them.
• 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 your work clearly.

QualificationsTo qualify for this role, you must have:

• 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 Python and common data/ML libraries; good engineering habits.
• Clear communicator and collaborative team player.
• Ideally, you'll also have, but not essential:
• Exposure to cloud AI platforms, Azure a plus.
• Experience practicing MLOps and LLMOps.
• Early experience mentoring junior colleagues.
• Interest in consulting and client-facing delivery.

You must be:

• Willing to work on client sites, potentially for extended periods.
• Willing to travel for work purposes and be happy to stay away from home for extended periods.
• Eligible to work in the UK without restriction.#TalanUK #LI-HB1

Additional InformationCompensation & Benefits Package:

• BDP Plus - A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.
• 25 days holiday + bank holidays.
• 5 days holiday buy/sell option.
• Private medical insurance.
• Life cover.
• Cycle to work scheme.
• Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).
• Employee assistance programme.
• Bespoke online learning via Udemy for Business.

Why join:

This is a role built for momentum, working across the full spectrum of modern AI, learning from senior architects and leads on real engagements, with genuine responsibility from day one and a clear path into a leadership track.

SummaryType:

Full-timeFunction: ConsultingExperience level: AssociateIndustry: Information Technology And Services
Company DescriptionTalan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).Job DescriptionAs our AI practice grows, we are looking for a capable, hands-on AI Engineer to help build and deliver the solutions at the heart of our client work. Coming from a data science background, you are equally comfortable applying proven machine-learning techniques to traditional analytics problems and working with the latest generative AI (large language models, retrieval-augmented generation, and agent-based applications). You enjoy building, you write dependable code, and you turn well-defined designs into working