Junior AI Engineer

Junior AI Engineer

Location: Guildford (3 days per week in office, rest remote)

Salary: £40,000 – £60,000 DOE

We are looking for a Masters-level Junior AI Engineer to join a team at the forefront of Artificial Intelligence and Applied Machine Learning. This role is ideal for someone with a strong academic foundation who is eager to apply their skills to real-world challenges, working at the intersection of data science, symbolic reasoning, and modern machine learning.

You’ll play a key role in developing intelligent workflows, experimenting with emerging technologies, and contributing to innovative AI research while receiving guidance and support to grow into a specialist role.

Key Responsibilities

• Develop and improve AI workflows, including data preprocessing, rule generation, and interpretability pipelines.
• Work with diverse datasets (CSV, Excel, JSON, XML), applying encoding, imputation, and feature engineering techniques.
• Explore integrations between symbolic AI approaches and large language models (LLMs).
• Contribute to the design of end-to-end AI/ML pipelines, ensuring scalability and reproducibility.
• Support database and systems development for efficient knowledge discovery.
• Collaborate with colleagues to ensure research and development efforts translate into real-world applications.
• Produce clear documentation and share knowledge across the team.

Required Skills & Experience

• A Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related discipline.
• Strong proficiency in Python and common data science libraries (e.g., Pandas, NumPy, scikit-learn).
• Solid understanding of data preprocessing, feature engineering, and pipeline automation.
• Familiarity with relational databases and schema design.
• Excellent research and problem-solving skills, with the ability to experiment and test new approaches.
• Strong communication skills and experience with collaborative tools (e.g., Git workflows).

Desirable Skills

• Exposure to inductive logic programming, symbolic AI, or hybrid ML-symbolic methods.
• Familiarity with cloud platforms (AWS, GCP, Azure) or containerisation (Docker).
• Knowledge of knowledge graphs or rule-based reasoning frameworks.
• Interest in applying AI to domains such as healthcare, finance, or customer behaviour.

This is a fantastic opportunity for a motivated Masters graduate who wants to make an impact in applied AI, while developing expertise in both symbolic reasoning and machine learning within a collaborative, forward-thinking environment.