AI/ML Engineer

AI/ML EngineerLocation

Remote (UK)

Job Type

Full-Time / Contract

Experience

2–8 Years

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

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: £37,827.24-£95,825.62 per year

Work Location: In person