Junior AI Engineer

Xelix

Junior AI Engineer developing AI-powered features for financial automation solutions at Xelix. Working with machine learning, LLMs, and collaborating with experienced teams to shape impactful features.

Posted 6/4/2026full-timeLondon • 🇬🇧 United KingdomJunior💰 £50,000 - £60,000 per yearWebsite

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Hard Skills

Pythonmachine learningLLMpandasSQLdata evaluationproduction codeclean codeengineering practicesdata analysis

Soft Skills

curiositycollaborationcommunicationopenness to feedbackmotivationwillingness to learnproblem-solvingadaptabilityteamworklearning

Tools & Technologies

CursorClaude Code

Industry Keywords

AI developmentML developmentreal-world datasetsevaluation pipelinesimpactful featuresstructured outputsprompt designAI-assisted developmentdata skillsbest practices

Tech Stack

Tools & technologies

PandasPythonSQL

About the role

Key responsibilities & impact

AI & ML Development: support the development of models and AI-powered features across text, document, and structured data use cases.
LLM Applications: help build and improve LLM-powered workflows, including prompt design, structured outputs, and simple tool use.
Data & Evaluation: work with real-world datasets, contribute to evaluation pipelines, and help measure system performance.
Production Code: write clean, maintainable Python and contribute to code that runs in production systems.
AI-Assisted Development: use tools like Cursor and Claude Code to accelerate development, while learning good engineering practices.
Collaboration & Learning: work closely with experienced engineers, product managers, and data teams, learning how to ship impactful features.

Requirements

What you’ll need

Foundations in Python: ability to write clear, structured code and a willingness to learn best practices.
Interest in AI/ML: academic, personal, or early professional experience with machine learning or LLMs.
Data Skills: familiarity with pandas, basic SQL, and working with datasets.
Curiosity: strong interest in how modern AI systems work and a desire to experiment and learn quickly.
Practical Mindset: motivated to build things that work in real-world settings, not just in theory.
Collaboration: good communication skills and openness to feedback.

Benefits

Comp & perks

27 days of annual leave (including 3 days Christmas closing)
Hybrid working with two days a week from our dog-friendly Hoxton office
On-site gym and cycle to work scheme
Employee discount at over 100 retailers
Comprehensive private medical & dental cover with Vitality
Enhanced parental leave pay
Learning & development culture – £1,000 personal annual budget
Lots of team socials & activities
Annual team retreat