Machine Learning Engineer

Skip to main content Machine Learning Engineer hackajob Glasgow, Scotland, United Kingdom Machine Learning Engineer hackajob Glasgow, Scotland, United Kingdom 2 weeks ago 39 applicants See who hackajob has hired for this role Report this job hackajob is collaborating with Barclays to connect them with exceptional professionals for this role.We are seeking a highly skilled Machine Learning Engineer to design and build advanced machine learning and AI solutions that enhance our ability to detect financial crime, prevent fraud, and safeguard our customers.Working closely with data scientists and engineers, you will focus on developing scalable ML pipelines, agentic AI systems, production-grade model code, and robust monitoring systems. You will play a key role across the full machine learning lifecycle—from initial concept and data exploration through to deployment—while ensuring adherence to strict governance, documentation, and regulatory standards.To be successful as a Machine Learning Engineer, you should have:Extensive experience in machine learning development (training and/or deploying models at scale).Outstanding programming skills in Python.Experience with distributed data processing frameworks (e.g., Spark).Experience with deep learning/NLP frameworks (e.g., PyTorch, Hugging Face).Solid understanding of software engineering principles and ML lifecycle practices (MLOps/LLMOps).Previous experience of owning and delivering ML projects, including stakeholder management.Some Other Highly Valued Skills May IncludeExperience leading machine learning engineering or development teams.Experience with LLMs and agentic AI systems, including relevant frameworks (e.g., Agents SDK, Anthropic SDK, AWS Bedrock, LangGraph, CrewAI).Experience with cloud platforms (AWS, Azure, GCP) or ML platforms (e.g., Databricks).Exposure to fraud detection, anti-money laundering, anomaly detection, or graph/network-based modelling.Understanding of model risk management, governance, and regulatory controls in financial services.You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.This role will be located at our Glasgow office.Purpose of the roleTo design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-makingAccountabilitiesDesign analytics and modelling solutions to complex business problems using domain expertise.Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.Ensure all development activities are undertaken within the defined control environment.Vice President ExpectationsTo contribute or set strategy, drive requirements and make recommendations for change. Plan resources,...