Machine Learning ML Engineer

Job DescriptionLocation: Hybrid - London or Leeds, YorkshireAre 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.ResponsibilitiesDesign 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.

Created: 2025-09-07