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# AI/ML Engineer

- **Company:** Aivra Health
- **Location:** London, UK
- **Experience:** Experienced
- **Salary:** £37,827.0 - £95,826.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Computer Vision, Microsoft Azure, Data Cleansing, Linux, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Tensorflow, Standard Sql, Azure Machine Learning, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Prompt Engineering, Deep Learning, Model Validation, Generative AI, Git, Fastapi, Pandas, Scikit Learn, Kubernetes, Information Technology, HuggingFace, Machine Learning Operations, Api Design, Restful APIs, Docker
- **Published:** August 6, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=56d5cc950ba03b46

## About the Role

PSW (valid for 1 year), Dependent Visa, British Citizen Only UK Candidates, * Python

 * Machine Learning
 * Deep Learning
 * TensorFlow
 * PyTorch
 * Scikit-learn
 * Pandas
 * NumPy
 * SQL
 * Git
 * Linux

Preferred Skills

 * Large Language Models (LLMs)
 * OpenAI API
 * LangChain
 * LlamaIndex
 * Hugging Face Transformers
 * RAG (Retrieval-Augmented Generation)
 * Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
 * Prompt Engineering
 * Fine-tuning LLMs
 * NLP (Natural Language Processing)
 * Computer Vision
 * FastAPI / Flask
 * Docker
 * Kubernetes
 * MLflow
 * Airflow
 * AWS SageMaker
 * Azure AI Services
 * Google Vertex AI

Education

 * Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field.

Nice to Have

 * AWS Certified Machine Learning - Specialty
 * Microsoft Azure AI Engineer Associate
 * Google Professional Machine Learning Engineer
 * Experience with MLOps pipelines
 * Experience building production AI applications

## Description

We are seeking a talented AI/ML Engineer to design, develop, and deploy machine learning solutions that solve real-world business problems. The ideal candidate should have strong expertise in Python, Machine Learning, Deep Learning, Large Language Models (LLMs), and cloud-based AI services., * Design, build, and deploy Machine Learning models.

 * Develop and optimize AI/ML algorithms for production.
 * Build and maintain Generative AI and LLM-based applications.
 * Fine-tune and evaluate Large Language Models.
 * Develop Retrieval-Augmented Generation (RAG) pipelines.
 * Work with structured and unstructured datasets.
 * Perform data preprocessing, feature engineering, and model evaluation.
 * Develop REST APIs using FastAPI or Flask for ML services.
 * Deploy ML models on AWS, Azure, or GCP.
 * Collaborate with Data Engineers, Software Developers, and Product teams.
 * Monitor model performance and improve accuracy.
 * Maintain documentation and follow MLOps best practices.


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