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
Private medical and dental
Hybrid working: 3 days in Bristol office, 2 days remote
Strong focus on professional development

If you are an AI / ML Engineer with experience of deploying LLM models into production we want to hear from you. APPLY NOW for immediate consideration.

N.B. - They do not offer visa sponsorship.

Apply Now

ML Engineer - LLM RAG AWS MLOps – Bristol (Hybrid)

Job Details