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
