AI Engineer
Elite Sports Tech
Cambridge, United Kingdom
4 months ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
£ 150KJob location
Cambridge, United Kingdom
Tech stack
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Databases
DevOps
Python
Reliability Engineering
Software Engineering
TypeScript
Unstructured Data
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
PyTorch
React
Flask
Large Language Models
Prompt Engineering
Backend
FastAPI
Kubernetes
Information Technology
HuggingFace
Data Pipelines
Docker
Job description
AI Engineer needed to join a highly skilled Engineering & AI team in a rapidly growing sports tech company.
Role and Responsibilities:
- Design, build, and deploy Large Language Model (LLM)-driven applications into production
- Develop retrieval-augmented generation (RAG) systems for real-time insights from performance and wearable data
- Optimise and fine-tune LLMs for efficiency, scalability, and accuracy in production environments
- Build and maintain robust data pipelines and scalable backend components in Python
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Requirements
- 2+ years of hands-on AI Engineering experience, with strong software engineering fundamentals
- Proven experience working with LLMs in production (fine-tuning, prompt engineering, or API integrations)
- Proficiency in Python
- Experience designing and deploying RAG pipelines (vector databases, embeddings, retrieval optimisation)
- Academic Excellence: BSc or MSc in Computer Science, AI, Data Science, or related technical field from a top university
- Familiarity with frameworks such as PyTorch, Hugging Face, LangChain, or LlamaIndex
- Passionate about sports, health, or fitness - you'll feel right at home here
Bonus points if you:
- Have worked with unstructured data (text, documents, time-series) and applied NLP techniques
- Have experience scaling LLM systems using cloud platforms (AWS/GCP/Azure) and containerisation (Docker, Kubernetes)
Benefits & conditions
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