At a Glance
- Tasks: Build and maintain a scalable machine-learning platform while enhancing developer experience.
- Company: Join Wise, a leading fintech company in London with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with exciting challenges and career advancement potential.
- Why this job: Make a real impact by supporting data scientists and improving infrastructure.
- Qualifications: Strong Python skills, Kubernetes knowledge, and experience with ML tools like MLflow.
The predicted salary is between 60000 - 80000 £ per year.
Wise is seeking a Senior Software Engineer in London to build and maintain a scalable machine-learning platform. You will enhance the developer experience while supporting internal data scientists. Your mission includes improving infrastructure and contributing to architectural decisions.
The role requires:
- Strong Python skills
- Familiarity with Kubernetes
- Experience with ML tooling like MLflow
Additionally, you'll collaborate cross-functionally, ensuring your platform meets user needs effectively.
Senior ML Platform Engineer: Scalable Model Serving in London employer: Wise
Wise is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong focus on employee growth, we offer numerous opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like machine learning and cloud infrastructure. Our commitment to a supportive environment ensures that every team member can thrive while contributing to impactful projects that shape the future of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Platform Engineer: Scalable Model Serving 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 Wise 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 Wise.
✨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 Wise.
✨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 Wise 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 Senior ML Platform Engineer: Scalable Model Serving in London
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 Wise.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Wise 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 Wise
✨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 Wise 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.
