Job Description

ML Engineer - LLM RAG AWS MLOps - Bristol (Hybrid)
I'm working with a fast-growing tech company in Bristol that needs an AI / ML Engineer to build and deploy machine learning and LLM solutions. You'll be working across the full ML lifecycle-from design through to production-in a modern, AWS-based environment.
You'll be part of an engineering and data team tackling projects like LLM development, intelligent automation, semantic search, and recommendation systems. There's real scope here to influence how MLOps and model deployment are done, and you'll be working with current AWS tooling.
What you'll be doing:

• Building and deploying ML models and LLM applications
• Fine-tuning large language models for specific use cases
• Working with prompt engineering and RAG systems
• Creating end-to-end ML pipelines-ingestion, feature engineering, deployment
• Developing LLM-powered tools: chatbots, automation, content generation
• Implementing MLOps practices: versioning, experiment tracking, CI/CD, monitoring
• Optimising for performance, scalability and cost in the cloud
• Integrating vector databases, embeddings and semantic search
• Collaborating with engineering, data and product teams

What you'll need:

• Strong Python and experience with TensorFlow, PyTorch or scikit-learn
• Hands-on LLM work-prompt engineering, modern NLP techniques
• AWS experience: SageMaker, Bedrock, S3, Lambda, CloudWatch
• Understanding of deep learning, transformers and attention mechanisms
• Knowledge of RAG systems, vector databases and embeddings
• Experience deploying ML models to production and monitoring them
• Familiarity with Docker, CI/CD and experiment tracking
• Solid stats background, model evaluation and feature engineering
• Good communication skills and ability to work cross-functionally

Bonus points for:

• LLM fine-tuning and frameworks like LangChain, Hugging Face or LlamaIndex
• Semantic search, recommendation engines, time-series or computer vision
• IaC tools like Terraform or CloudFormation
• Real-time inference, distributed training or large-scale optimisation
• Cloud or ML certifications

What's on offer:

• 60,000 to 80,000 + benefits
• Private medical and dental
• Hybrid: 3 days in Bristol office, 2 days remote
• Strong focus on professional development

If you have fine tuned LLMs and deployed models into production, I want to hear from you.
APPLY NOW or immediate consideration.

Skills Required