Full‑Stack Machine Learning Engineer

LexisNexis Risk Solutions; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

LexisNexis Risk Solutions is seeking engineers to design, build, test, and operate scalable backend services for fraud and identity analytics. You will collaborate with data scientists, engineers, and product teams to productionize ML capabilities and deliver reliable software that creates measurable customer value.

You will design APIs, integrate ML models into workflows, and improve performance, security, and maintainability across the software lifecycle.

Qualifications

• Professional software engineering experience delivering production systems.
• Strong programming skills in Python and Java with clean interfaces and maintainable structure.
• Experience designing and developing APIs, backend services, distributed systems, or data-intensive apps.
• Solid understanding of testing, version control, CI/CD, secure development, and production support.
• Experience integrating ML models or analytics into software products.
• Ability to work with data stores and platforms (e.g., Snowflake, relational databases).
• Understanding of ML concepts, feature engineering, inference, evaluation, and limitations of analytics systems.

Responsibilities

• Design, build, test, and maintain production-grade backend services and APIs using Python and Java.
• Integrate ML models and analytics into real-time and batch workflows.
• Develop reusable components for feature calculation, inference, and decision support.
• Build internal and customer-facing tools to explore, evaluate, and understand analytical outcomes.
• Apply sound software engineering practices: modular design, code review, testing, and documentation.
• Improve system performance, reliability, security, observability, and maintainability across the lifecycle.
• Collaborate with data scientists to translate prototypes into robust product capabilities.
• Participate in deployment, incident analysis, and operational ownership of services.

Skills

Python

Java

API design

CI/CD

Machine learning integration

Distributed systems

Testing & QA

Tools

Snowflake

REST APIs

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.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.