Machine Learning Engineer

A digital consultancy is looking for a Machine Learning Engineer to join their forward-thinking team, focusing on innovative AI-driven solutions. This role offers a blend of hands-on technical work and opportunities for career progression.

As a leading digital consultancy, the company delivers cutting-edge technology solutions across various sectors. The team is committed to fostering creativity and using AI to address complex business challenges.

The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to meet client objectives. The role involves collaborating with multidisciplinary teams, contributing to both research and production-level systems.

The engineer will work on a range of projects, including natural language processing, computer vision, and predictive analytics. Each project focuses on solving real-world problems using the latest advancements in AI and machine learning.

Proficiency in Python and experience with frameworks such as TensorFlow or PyTorch are essential. Knowledge of cloud platforms (AWS, GCP, Azure) and data pipeline tools is highly advantageous.

Strong communication and teamwork skills are essential for working effectively with both technical and non-technical stakeholders. The ability to adapt and solve problems in a fast-paced consultancy environment is crucial.

A degree in Computer Science, Mathematics, or a related discipline, with at least 2 years of experience in machine learning. Proven experience in building and deploying machine learning models in a production environment is required.

Skills Needed:

• Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with cloud platforms like AWS, GCP, or Azure for deploying ML models.
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with algorithms for supervised, unsupervised, and reinforcement learning.
• Competency in working with large datasets, and experience in building and maintaining data pipelines (e.g., using Apache Spark or Hadoop).

NOTE: Sponsorship is not available for this role and you must be a UK resident to apply.