AI Engineer (LLMs, Agents & Applied Data Science)

JobsCloseBy Editorial Insights

Talan is seeking a hands-on AI Engineer to build and deliver GenAI, LLM and applied data science solutions for client projects. The role blends traditional data science with modern AI techniques such as prompting, retrieval augmented generation and simple agent based workflows. It is delivery focused, reporting to senior colleagues, owning specific workstreams while producing clean, production minded code and mentoring junior resources. Ideal candidates have 2–4 years in data science or AI, strong Python and ML libraries, practical GenAI/RAG experience, and familiarity with AI agents and MLOps concepts. You’ll work onsite in London with travel as needed; Azure experience is a plus. To apply, showcase concrete outcomes, production grade code and a collaborative, proactive mindset.

Company Description

Talan 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 Description

As 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 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.

Qualifications

To 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 orchestrated.
• Strong 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 Information

Compensation & 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.