Talan
AI Engineer (LLMs, Agents & Applied Data Science)
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
AI Engineer (LLMs, Agents & Applied Data Science)
Talan Data x AI
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. We unlock value and insight from data. At Talan, innovation is at the heart of our client offerings, helping companies improve efficiency through modern processes and technologies such as Machine Learning (ML) and Artificial Intelligence (AI).
Job Title
AI Engineer
About the Role
As our AI practice grows, we are seeking a capable, hands-on AI Engineer to build and deliver solutions at the core of our client work. You’ll come from a data science background and bring experience applying both proven machine-learning techniques to traditional analytics problems and cutting-edge generative AI approaches such as:
- Large language models (LLMs)
- Retrieval-augmented generation (RAG)
- Agent-based applications
You enjoy building dependable software, write clean code, and translate well-defined designs into production-ready solutions.
This is a delivery-focused role that sits level below our Lead Data Scientists. Scope includes:
- Ownership of meaningful workstreams within projects, aligned to an architecture and plan set by senior colleagues.
- Exposure to real client challenges, offering hands-on learning in modern AI.
- Collaborative mentorship as a supportive presence—a peer resource who helps colleagues solve problems, shares insights, and guides junior and graduate resources in day-to-day work.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Build, test, and deploy AI and ML components within client projects, adhering to senior-led standards and designs.
- Develop GenAI and LLM-based features, such as:
- Prompt engineering
- Retrieval-augmented generation (RAG)
- Simple agentic workflows
- Handle classical data science tasks (data preparation, feature engineering, model training, and evaluation) as required.
- Translate solution designs into production-grade, well-documented code.
- Contribute to model evaluation, testing, and monitoring.
- Provide support and mentorship for junior and graduate engineers, reviewing their work and facilitating growth.
- Assist peers in problem-solving and knowledge-sharing across team discussions.
- Engage partaken in client and team communications, presenting work clearly.
Required Skills & Experience
- 2–4 years’ experience in data science, machine learning, or AI engineering.
- Strong foundational knowledge of core data science and machine learning principles.
- Hands-on experience with:
- LLMs, generative AI, prompting, and RAG.
- Building and orchestrating AI agents.
- Python with proficiency in data/ML libraries (e.g., scikit-learn, PyTorch, TensorFlow).
- Robust engineering best practices.
- Proven ability to communicate complex concepts clearly and work collaboratively as a team player.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
An added advantage (but not essential) includes:
- Exposure to cloud AI platforms (preference for Azure experience).
- Familiarity with MLOps and LLMOps practices.
- Early experience in mentoring junior colleagues.
- Interest in consulting and client-facing delivery.
Essential Requirements:
✔ Willingness to work on client sites for protracted periods. ✔ Flexibility for travelling for work, willing to stay away from home occasionally. ✔ Eligibility to work unrestricted in the UK.
Compensation & Benefits
- BDP Plus – Redeem for a 3-month paid sabbatical or cash equivalent.
- 25 days holiday + bank holidays.
- 5 days holiday buy/sell.
- Private medical insurance.
- Life cover.
- Free bike-leasing scheme.
- Company pension with 5% employer contribution (salary sacrifice option).
- Employee assistance programme
- Bespoke online learning via Udemy for Business.
Why Join Talan?
A role designed for rapid growth within a dynamic AI practice.
- Gain real-world experience under senior architects and leads.
- Take on meaningful responsibility from day one with a clear progression into leadership.
- Learn across the full AI spectrum (classical ML to generative AI, agentic systems, large modern architectures).
- Work with industry leading clients for varied, high-impact challenges.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills