Machine Learning ML Engineer

Location: Hybrid - London or Leeds, Yorkshire

Are you passionate about building robust, scalable ML solutions and working at the forefront of data-driven innovation?

We are looking for a Machine Learning Engineer to join an expanding team working on projects that drive cutting-edge automation and machine learning capabilities across a range of industries.

• Opportunity to work on innovative ML projects at scale.
• Collaborative and forward-thinking team environment.
• Access to the latest cloud and machine learning technologies.

Responsibilities

• Design and implement ML pipelines and automation workflows for seamless CI/CD integration.
• Build and manage data engineering pipelines using Infrastructure as Code (IaC) principles.
• Collaborate with solutions architects and IT teams to integrate diverse data feeds into a unified ML platform.
• Ensure ML systems are secure, reliable, and production-ready, following best practices in MLOps and software engineering.
• Optimise performance, scalability, and monitoring across all deployed ML solutions.

Essential Skills:

• Proficiency in Python and Unix Scripting (Bash).
• Solid experience with AWS services (S3, EC2, Lambda, SageMaker, CloudFormation, DynamoDB, etc.).
• Skilled with Docker and container management.
• Strong software engineering background: code reviews, version control, optimisation, testing, and logging.
• Expertise in machine learning libraries such as NumPy, Pandas, TensorFlow, PyTorch, SciPy, and Dask.
• Proven experience linking data from multiple systems to create scalable solutions.
• Knowledge of cloud security best practices and experience with DevOps life cycles.

Desirable Skills:

• Knowledge of supervised/unsupervised learning, reinforcement learning, and Bayesian inference.
• AWS Certification (advantageous).
• Exposure to Google Cloud Big Data tools or Kafka.