At a Glance
- Tasks: Build and deploy intelligent apps using machine learning for fraud and identity analytics.
- Company: Join LexisNexis Risk Solutions, a leader in risk management technology.
- Benefits: Enjoy generous holiday allowance, health benefits, and employee assistance programs.
- Other info: Exciting opportunity for career growth in a dynamic tech landscape.
- Why this job: Make a real impact by developing cutting-edge ML tools in a collaborative environment.
- Qualifications: Over 4 years of experience with strong Python and Java skills required.
The predicted salary is between 55000 - 77000 £ per year.
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.
Full-Stack ML Engineer: Build & Deploy Intelligent Apps in London employer: LexisNexis Risk Solutions
At ICIS, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and accountability. Our commitment to employee well-being is reflected in our generous benefits package, extensive learning opportunities, and a supportive environment that encourages personal and professional growth. Join us in our mission to optimize the world's resources while enjoying a fulfilling career in a globally distributed team that values your insights and contributions.
