Lead AI Platform Engineer – ML for Fraud Detection in London

Lead AI Platform Engineer – ML for Fraud Detection in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Napier AI

At a Glance

  • Tasks: Design and implement AI features for fraud detection while leading a team of engineers.
  • Company: Join Napier AI, a forward-thinking tech company in London.
  • Benefits: Flexible work location, healthcare, and generous annual leave.
  • Other info: Agile environment with opportunities for professional growth.
  • Why this job: Make a real impact in AI-driven fraud detection and lead innovative projects.
  • Qualifications: 5-7 years in a senior role with Go or Python programming experience.

The predicted salary is between 60000 - 80000 £ per year.

Napier AI is looking for a Lead Engineer to join their Technology department in London. This role involves designing and implementing AI-driven features and services within Napier's platform while leading a small team of engineers to enhance AI functionality.

Ideal candidates will have:

  • 5-7 years in a senior role
  • Experience with programming in Go or Python
  • The ability to work in agile environments

The position offers flexibility in work location and a range of benefits including healthcare and annual leave.

Lead AI Platform Engineer – ML for Fraud Detection in London employer: Napier AI

Napier AI is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong emphasis on employee growth, we offer comprehensive benefits including healthcare and generous annual leave, alongside the flexibility to work in a way that suits you best. Join us to lead cutting-edge AI initiatives while collaborating with a talented team dedicated to making a meaningful impact in fraud detection.

Napier AI

Contact Details:

Napier AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead AI Platform Engineer – ML for Fraud Detection in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Napier AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Napier AI.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Napier AI.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Napier AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Lead AI Platform Engineer – ML for Fraud Detection in London

AI-driven Feature Design
Service Implementation
Team Leadership
Programming in Go
Programming in Python
Agile Methodologies
Technical Problem Solving

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Napier AI.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Napier AI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Napier AI

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Napier AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.