Engineer - Artificial Intelligence Jobs

PEXA UK

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

Save Job

Apply Position

Job Description:

The AI Engineer is a critical role responsible for bridging the gap between AI research and practical application. This individual will leverage their expertise in machine learning, deep learning, and software engineering to build, deploy, and maintain robust and scalable AI systems. A core focus of this role is the development and deployment of applications powered by Large Language Models (LLMs). You will be involved in the full lifecycle of AI projects, from problem definition and data preparation to model development, testing, deployment, and monitoring. The ideal candidate is a proactive problem-solver with a strong technical foundation in both general AI/ML and specialised LLM expertise, a passion for AI innovation, and the ability to translate complex algorithms, including advanced language models, into real-world solutions. Experience with platforms like AWS Bedrock and Snowflake Cortex is highly desirable.

Job Responsibility:

Design and implement AI/ML models - including Large Language Models - to solve real business challenges
Build scalable, efficient AI systems and pipelines optimised for LLM workloads
Select and apply the right tools, frameworks, and platforms (e.g. AWS Bedrock, Snowflake Cortex)
Write clean, testable code and apply best practices in LLM development and prompt engineering
Optimise model performance, scalability, and efficiency to meet enterprise demands
Prepare, manage, and secure data - from preprocessing to storage - for AI and LLM training
Deploy and integrate AI solutions across cloud, on-premise, and edge environments, including API development
Stay ahead of AI/LLM advancements, pilot new technologies, and identify innovative use cases
Collaborate with data scientists, engineers, and product teams, and communicate insights clearly to all audiences
Apply responsible AI practices, addressing bias, transparency, and compliance in all solutions

Requirements:

Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field
Demonstrated experience with Large Language Models (LLMs) and Natural Language Processing (NLP) is highly preferred
Proven experience with a range of machine learning algorithms (e.g., regression, classification, clustering, deep learning, NLP, computer vision), including experience with LLM architectures and techniques
Experience with deep learning frameworks such as TensorFlow, PyTorch, Keras, etc., especially in the context of NLP and LLMs
Experience with cloud platforms and deploying AI solutions in cloud environments is required, with specific experience on platforms like AWS Bedrock and Snowflake Cortex being a significant advantage
Strong programming skills in languages such as Python, Java, or C++, with proficiency in NLP libraries (e.g., spaCy, NLTK, Transformers library) essential
Experience with data processing and manipulation tools and libraries (e.g., Pandas, NumPy, Spark), particularly for text data processing
Familiarity with software engineering principles, DevOps practices, and version control systems (e.g., Git)

Nice to have:

Specialisation in Natural Language Processing or Machine Learning with a focus on LLMs is a plus

What we offer:

Quarterly wellness days to recharge
Four weeks Workcation per year – work from an approved country
Take the opportunity to purchase up to four weeks additional annual leave per year
Learn from the best and upskill with PEXA Academy certifications and grow your career

Additional Information:

Job Posted:
December 11, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

View All Jobs In This Company

Job Link Share:

Engineer - Artificial Intelligence