AI Engineer: Build, Test & Scale LLM-powered AI

Jobtailor; Burgess Hill; On-site; GBP 30,000 - 52,000; Full time

Job summary

Jobtailor is seeking a graduate AI/ML Engineer to support development, testing, and integration of AI-driven solutions in a dynamic team in the UK. You will work on data retrieval pipelines, model training, evaluation, and deployment under guidance, collaborating with cross-functional partners.

The role emphasizes Python-based data processing, responsible AI practices, and participation in Agile ceremonies to deliver reliable AI-enabled features within project timelines.

Qualifications

• Bachelor’s or Master’s degree in a technical field (CS/ML/DS/AI/CE/SWE) before full-time start date.
• Graduation date between December 2026 and June 2027.
• Proficiency in Python and foundational data processing technologies.
• Foundational understanding of data structures, algorithms, OOP, debugging, testing, and problem solving.
• Understanding of supervised learning, unsupervised learning, model training, evaluation, feature engineering.
• Introductory understanding of LLM APIs, prompt-based interactions, retrieval patterns, or generative AI apps.
• Ability to support AI/ML development, testing, documentation, integration, or data pipelines under guidance.
• Awareness of responsible AI expectations, including reliability, safety, governance, privacy, compliance, and escalation.
• Strong communication, collaboration, documentation, and learning agility.

Responsibilities

• Support AI/ML model development, testing, and integration under guidance.
• Assist with data collection, preprocessing, transformation, and validation for training and evaluation.
• Debug and improve AI-enabled solutions for performance, reliability, explainability, maintainability, and quality.
• Support training workflows, inference endpoints, and prompt-based interactions.
• Collaborate with engineering, product, data, risk, security, and business partners to implement AI-driven solutions.
• Document model parameters, prompts, data pipelines, integrations, and decisions.
• Participate in Agile practices including sprint planning, stand-ups, demos, retrospectives, code reviews, and team ceremonies.
• Help ensure AI systems meet reliability, safety, governance, security, privacy, compliance, and escalation.

Skills

Python Programming

Data Processing

Problem Solving

Communication

Collaboration

Learning Agility

Education

Bachelor’s Degree

Master’s Degree

Tools

LLM APIs

NLP Techniques

ETL

Cloud Environments

Containerized Development

Model Deployment

CI/CD

Version Control

Job description

Jobtailor is seeking a graduate AI/ML Engineer to support development, testing, and integration of AI-driven solutions in a dynamic team in the UK. You will work on data retrieval pipelines, model training, evaluation, and deployment under guidance, collaborating with cross-functional partners.

The role emphasizes Python-based data processing, responsible AI practices, and participation in Agile ceremonies to deliver reliable AI-enabled features within project timelines.