AI/ML Engineer
Work with Python, TensorFlow, PyTorch, scikit-learn, FastAPI/Flask, Docker, Kubernetes, open-source LLMs, vector databases, and AWS/Azure/GCP. Design, build, and deploy ML models, develop Generative AI and RAG pipelines, and fine-tune LLMs for a health-focused AI team.
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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