Remote Machine Learning Engineer (Remote - UK)

Description:

• This position is for a Machine Learning Engineer at Ravelin, located in the United Kingdom, and is remote.
• The role involves working at the intersection of data science and engineering to build and scale high-performance machine learning systems for global fraud detection.
• Responsibilities include productionizing cutting-edge models, designing efficient pipelines, and ensuring real-time predictions at scale.
• The engineer will collaborate closely with data scientists and engineers to create robust ML infrastructure and improve processes, tools, and workflows.
• The position offers the opportunity to work with large-scale datasets, modern orchestration tools, and MLOps best practices while owning impactful projects.
• The work environment is innovative and collaborative, directly contributing to the protection of businesses and customers worldwide.

Requirements:

• Candidates must have proven experience building and deploying machine learning models in production environments.
• A strong understanding of the ML lifecycle and hands-on experience designing training pipelines for large datasets is required.
• Familiarity with workflow orchestration tools such as Prefect, Kubeflow, or Argo is necessary.
• A solid grounding in software engineering fundamentals, including data structures, design patterns, Git, CI/CD, testing, and monitoring, is essential.
• Excellent analytical and problem-solving skills are required, with the ability to work in ambiguous situations.
• Strong communication and teamwork skills are necessary, with the ability to collaborate across technical and non-technical audiences.
• It is a plus to have knowledge of a systems programming language (Go, C++, Java, Rust), deep learning frameworks (PyTorch, TensorFlow), distributed data processing (Spark, Dataproc), or data pipeline tools (dbt).

Benefits:

• The position offers flexible working hours in a remote-first environment.
• Comprehensive BUPA health insurance is provided.
• An annual wellness and learning budget of £1,000 is available for employees.
• Employees enjoy a monthly wellbeing and learning day on the last Friday of each month.
• The company offers 25 days of holiday plus bank holidays, and an additional cultural day.
• Access to mental health support through Spill is included.
• An Aviva pension scheme is part of the benefits package.
• Employees can participate in company-supported charitable initiatives and volunteering opportunities.
• Fortnightly randomized team lunches (in-person or remote) are organized.
• A cycle-to-work scheme is available for employees.
• Dog lovers can benefit from a BorrowMyDoggy membership.
• Weekly board game nights and a dedicated social budget are provided for team bonding.