Full-Stack ML Engineer: Build & Deploy Intelligent Apps

LexisNexis Risk Solutions; Greater London; On-site; GBP 65,000 - 85,000; Full time

Benefits offered by this job

Generous holiday allowance

Health screening

Private medical benefits

Access to learning resources

Employee discounts scheme

Job summary

LexisNexis Risk Solutions in Greater London seeks a Full-Stack Machine Learning Engineer to build and deploy ML-powered tools for fraud and identity analytics. The role includes developing APIs, integrating ML models, and collaborating across teams.

Ideal candidates have over 4 years of relevant experience and strong skills in Python and Java. The position offers generous benefits including holiday allowance, health benefits, and employee assistance programs.

Qualifications

• 4+ years software engineering experience.
• Strong knowledge of Python and Java.
• Familiarity with ML model serving.

Responsibilities

• Build and deploy ML-powered services.
• Develop ML inference APIs and microservices.
• Integrate ML models into production systems.

Job description

LexisNexis Risk Solutions in Greater London seeks a Full-Stack Machine Learning Engineer to build and deploy ML-powered tools for fraud and identity analytics. The role includes developing APIs, integrating ML models, and collaborating across teams.

Ideal candidates have over 4 years of relevant experience and strong skills in Python and Java. The position offers generous benefits including holiday allowance, health benefits, and employee assistance programs.