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An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems.
We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include:
Search relevancy engineering.
Conversational AI Development: Design, train, fine-tune, and deploy LLMs with reasoning capabilities.
Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources.
Model Fine-Tuning & Training: Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT).
Model Deployment & Inferencing: Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks.
Multi-Agent Systems: Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy.
AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS.
End-to-End AI Product Development: Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring.
Full-Stack Integration: Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js.
Vector Databases & Search: Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch.Required skills & experience:
3-5+ years in machine learning and software development
Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers
Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments.
Full-stack experience (React, TypeScript, Node.js) and API development.
Familiarity with vector search and multi-agent orchestrationApply 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 Leicestershire.
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Looking for your next career move? Join a top company hiring Machine Learning Engineer job near me in City of London, London! This is your chance to work on exciting projects, grow professionally, and enjoy a rewarding career with competitive pay and excellent benefits. Whether you're an experienced professional or looking to take the next step, this role offers the perfect opportunity to enhance your skills and make an impact. Don’t miss out—apply today via Vita CV and take your career to the next level!
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