Machine Learning Engineer/AI Engineer

LexisNexis Risk Solutions; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

LexisNexis Risk Solutions in London seeks a software engineer to design, build, test, and operate scalable backend services using Python and Java. You will work with data scientists, engineers, architects, and product managers to deliver secure, reliable analytics products with measurable customer value.

You will help bring machine learning and analytical capabilities into production, build internal and customer‑facing tools, and contribute to performance, security, and maintainability across

Qualifications

• Strong programming skills in Python and Java with object‑oriented design.
• Experience designing APIs, backend services, or data‑heavy apps.
• Familiarity with CI/CD, testing, and production support.
• Knowledge of ML model integration into production systems.

Responsibilities

• Design, build, test, and maintain production backend services and APIs.
• Integrate ML models and analytics into real-time and batch workflows.
• Develop reusable components for feature calculation and model output interpretation.
• Ensure security, reliability, and observability across the software lifecycle.

Job description

Are you passionate about building scalable software that helps organisations detect fraud, verify identity, and make better decisions using advanced analytics? Do you enjoy collaborating across engineering, data science, and product teams to turn intelligent solutions into reliable products that deliver real-world customer value?

About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/

About the Role

You will join an engineering team building software for fraud and identity analytics. In this role, you will design, build, test, and operate scalable software products, working closely with data scientists, engineers, architects, product managers, and quality engineers. You will help bring machine learning and analytical capabilities into production systems, delivering secure, reliable, and maintainable solutions that create measurable customer value.

Responsibilities

• Design, build, test, and maintain production-grade backend services and APIs using Python and Java.
• Integrate machine learning models and analytical components into real-time and batch software workflows.
• Develop reusable application components for feature calculation, inference, decision support, and model output interpretation.
• Build internal and customer-facing tools that help users explore, evaluate, and understand analytical outcomes.
• Apply sound software engineering practices, including modular design, code review, automated testing, documentation, and continuous improvement.
• Improve system performance, reliability, security, observability, and maintainability across the software lifecycle.
• Work with data scientists to translate prototypes and research outputs into robust, well-defined product capabilities.
• Participate in delivery and operational ownership for the services you build, including deployment, incident analysis, and remediation.

Requirements

Professional software engineering experience with a strong record of delivering production systems. Strong programming skills in Python and Java, including object-oriented design, clean interfaces, and maintainable application structure. Experience designing and developing APIs, backend services, distributed systems, or data-intensive applications. Solid understanding of software testing, version control, code review, CI/CD, secure development, and production support. Practical experience integrating machine learning models, statistical algorithms, or advanced analytics into software products. Ability to work with data stores and data platforms such as Snowflake, relational databases, or comparable technologies. Understanding of common machine learning concepts, feature engineering, inference, evaluation, and the limitations of analytical systems. Strong ownership, problem-solving, and communication skills, with the ability to execute independently and collaborate across disciplines.

Risk benefit statement

Learn more about the LexisNexis Risk team and how we work here

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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At LexisNexis Risk Solutions, our businesses span multiple industries providing customers with innovative technologies, information-based analytics, decisioning tools and data management services that provide market-specific solutions. Approximately 11,100 employees in offices throughout the world support our brands by serving customers in more than 190 countries and territories. LexisNexis Risk Solutions is part of RELX, a global provider of information and analytics for professional and business customers across industries. For more information, please visit www.risk.lexisnexis.com and www.relx.com.