AI Engineer - GenAI & ML on Real Client Projects

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

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.