Senior AI Engineer (Python) – Hybrid, London

Market Cloud Ltd; Greater London; Hybrid; GBP 55,000 - 80,000; Full time

Job summary

A technology solutions provider is looking for an AI Engineer with robust Python expertise to help build intelligent, scalable AI solutions. The role requires developing, training, and deploying ML/DL models, and collaborating with diverse teams to ensure successful integration into applications. Candidates should be proficient in key ML libraries and cloud platforms. This is a full-time position with a hybrid work arrangement in Greater London.

Qualifications

• Strong knowledge of Python and ML libraries.
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Solid understanding of ML algorithms, NLP, and data processing.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Knowledge of SQL and NoSQL databases.

Responsibilities

• Develop, train, and deploy ML/DL models using Python.
• Work with TensorFlow, PyTorch, or Scikit-learn for model building.
• Build data pipelines and perform data preprocessing & feature engineering.
• Integrate AI models into applications via APIs such as Flask or FastAPI.
• Optimize models, run experiments, and improve performance.
• Collaborate with data engineers, product, and software teams.
• Follow best practices in MLOps, model versioning & monitoring.

Skills

Python

Machine Learning libraries (NumPy, Pandas, Scikit-learn)

Deep learning frameworks (TensorFlow, PyTorch)

ML algorithms

NLP

Data processing

Cloud platforms (Azure, AWS, GCP)

SQL/NoSQL databases

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

MLflow

Kubeflow

Airflow

Job description

A technology solutions provider is looking for an AI Engineer with robust Python expertise to help build intelligent, scalable AI solutions. The role requires developing, training, and deploying ML/DL models, and collaborating with diverse teams to ensure successful integration into applications. Candidates should be proficient in key ML libraries and cloud platforms. This is a full-time position with a hybrid work arrangement in Greater London.