At a Glance
- Tasks: Build and deploy ML-powered services for fraud and identity analytics.
- Company: LexisNexis Risk Solutions, a leader in risk management.
- Benefits: Competitive salary, strong security standards, and a dynamic team environment.
- Other info: Opportunity to work on impactful projects in a collaborative setting.
- Why this job: Join a team making communities safer with innovative tech solutions.
- Qualifications: 4+ years in software engineering, proficient in Python and Java.
The predicted salary is between 60000 - 80000 £ per year.
LexisNexis Risk Solutions in Greater London is seeking experienced software engineers to build and deploy ML-powered services for fraud and identity analytics. The role emphasizes developing APIs and microservices while ensuring strong security standards.
Candidates should have 4+ years in software engineering, proficiency in Python and Java, and familiarity with Snowflake or similar platforms.
Join a dynamic team focused on innovative solutions that enhance decision-making and create safer communities.
Senior ML Engineer - Fraud & Identity Platforms employer: LexisNexis Risk Solutions
At LexisNexis Risk Solutions, we pride ourselves on being an exceptional employer in Greater London, offering a vibrant work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a focus on impactful projects that enhance community safety. Join us to be part of a forward-thinking team dedicated to developing cutting-edge ML solutions in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer - Fraud & Identity Platforms
✨Tip Number 1
Network like a pro! Reach out to current or former employees at LexisNexis Risk Solutions on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best ML projects, especially those involving fraud detection or identity analytics. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for ML engineers. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match what LexisNexis is looking for.
We think you need these skills to ace Senior ML Engineer - Fraud & Identity Platforms
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python and Java in your application. We want to see how you've used these languages in real-world projects, especially in building APIs and microservices.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior ML Engineer role. Mention your familiarity with Snowflake or similar platforms and how it relates to fraud and identity analytics.
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you convey your passion for innovative solutions and enhancing decision-making without fluff.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our dynamic team!
How to prepare for a job interview at LexisNexis Risk Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in Python and Java, as these are crucial for the role. Brush up on your knowledge of APIs and microservices, and be ready to discuss how you've implemented them in past projects.
✨Showcase Your ML Experience
Prepare to talk about your experience with machine learning, especially in fraud and identity analytics. Have specific examples ready that demonstrate your ability to build and deploy ML-powered services.
✨Security Standards Matter
Since the role emphasises strong security standards, be prepared to discuss how you’ve ensured security in your previous projects. Familiarise yourself with best practices in securing APIs and data.
✨Cultural Fit is Key
LexisNexis Risk Solutions values innovation and teamwork. Think about how you can contribute to a dynamic team and be ready to share examples of how you’ve collaborated effectively in the past.
