Machine Learning / AI Engineer

An exceptional opportunity to join an innovative, high-growth organisation shaping the future of AI-powered automation and digital interaction.

We’re seeking a

Machine Learning Engineer with full-stack development experience

to work on cutting-edge projects involving

Generative AI ,

Retrieval-Augmented Generation (RAG) , and

multi-agent reasoning frameworks .

This is a hands-on, end-to-end engineering role with impact across the full ML lifecycle – from experimentation to deployment.

Conversational AI & Reasoning:

Design, fine-tune, and deploy advanced LLMs with agentic capabilities
RAG Pipelines:

Build and optimise scalable pipelines for structured and unstructured data retrieval
LLM Training & Fine-Tuning:

Use methods like LoRA, QLoRA, SFT, PEFT, and RLHF
Inference & Acceleration:

Serve models using vLLM, DeepSpeed, Triton, TensorRT
Multi-Agent Orchestration:

Work with LangChain, AutoGen, CrewAI, DSPy and similar tools
Cloud & MLOps (AWS):

Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS
Full-Stack Integration:

Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js
Vector Search:

Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch

Required skills & experience:

3–5+ years of experience in ML engineering and software development
Deep Python proficiency, with PyTorch, TensorFlow or Hugging Face
Proven experience with LLMs, RAG, and deploying cloud-native AI on AWS
Strong full-stack skills (React, TypeScript, Node.js) and API development
Familiarity with vector databases and multi-agent frameworks

Apply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven projects and solutions. The role offers a highly competitive salary and benefits package and will be office based in Manchester.