Machine Learning Engineer/AI Engineer

Businesslexisnexis Risk Solutions; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

LexisNexis Risk Solutions in London, UK, is seeking a software engineer to design, build, test, and operate scalable backend services. You will integrate machine learning and analytics into production systems, delivering secure, reliable solutions that create tangible customer value.

You will collaborate with data scientists, engineers, architects, product managers, and quality engineers to translate research into robust product capabilities and own delivery, deployment, and incident remediation

Qualifications

• Professional software engineering experience delivering production systems.
• Strong Python and Java programming with OO design.
• Experience designing APIs, backend services, or data-intensive apps.
• Familiar with testing, VCS, CI/CD, and secure production support.
• Experience integrating ML models or analytics into software products.
• Experience with Snowflake or relational databases.

Responsibilities

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

Skills

Python

Java

Backend development

API design

Distributed systems

ML integration

CI/CD

Data stores

Tools

Snowflake

Relational databases

CI/CD tooling

Job description

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. 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-#####.

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.

USA Job Seekers:EEO Know Your Rights.

SummaryLocation: UK - London (London Wall)Type: Full time.

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 the RoleYou will join an engineering team building software for fraud and identity.