via Indeed · 18 September 2026 ·1 day ago

AI/ML Engineer

Aivra Health
London
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AI/ML EngineerLocation

(UK)

Job Type

Full\-Time / Contract

Experience

1\- 3 Years

Visa:
PSW (valid for 1 year), Dependent Visa,

Job Summary

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.

Key Responsibilities

  • 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.
Required Skills
  • 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
Pay: £27,827\.24\-£35,825\.62 per year

Work Location: In person

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