Summary: The Lead Machine Learning Engineer will be responsible for designing, developing, and deploying scalable machine learning models within a leading technology consultancy. This role involves collaboration with data scientists and software engineers to deliver innovative AI and ML solutions for high-profile clients. The position requires strong expertise in ML model development, MLOps, and cloud-based deployments. The successful candidate will also mentor junior engineers and ensure best practices in model deployment.

Key Responsibilities:

• Lead the design and development of machine learning models and pipelines.
• Oversee end-to-end ML lifecycle, from data preprocessing to model deployment and monitoring.
• Collaborate with cross-functional teams to translate business challenges into ML solutions.
• Mentor and guide junior ML engineers and data scientists.
• Implement best practices for MLOps, ensuring scalability and efficiency in model deployment.
• Work with cloud platforms (AWS, GCP, Azure) to deploy ML models in production.
• Optimize model performance and ensure robustness in real-world applications.
• Stay up to date with the latest advancements in AI/ML and integrate them into project work.

Key Skills:

• Proven experience as a Machine Learning Engineer, with a focus on designing and deploying ML solutions.
• Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Expertise in cloud-based ML services and MLOps tools (e.g., SageMaker, MLflow, Kubeflow).
• Experience working with large-scale datasets and big data technologies (Spark, Hadoop, etc.).
• Strong understanding of software engineering best practices, including CI/CD for ML models.
• Excellent problem-solving skills and the ability to work in a fast-paced consulting environment.
• Strong communication and stakeholder management skills.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT