Senior Product Engineer – AI Data Platform (Hybrid)

Senior Product Engineer – AI Data Platform (Hybrid)

Full-Time 72000 - 84000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead the development of AI-driven data solutions and mentor fellow engineers.
  • Company: Top-tier AI tech company in the UK with a focus on innovation.
  • Benefits: Competitive salary up to £120k, hybrid work model, and career growth.
  • Other info: Work 1-2 days a week in Central London for a dynamic experience.
  • Why this job: Join a collaborative team and tackle exciting engineering challenges.
  • Qualifications: Strong Python, FastAPI, AWS skills, and mentoring experience required.

The predicted salary is between 72000 - 84000 £ per year.

A leading AI technology company in the UK is looking for a Senior Engineer to join their innovative team focused on building data-driven solutions. The role emphasizes product ownership and collaborative culture, offering a competitive salary of up to £120k.

The ideal candidate will have a strong background in Python, FastAPI, and AWS, along with experience mentoring others. The position allows for hybrid working, requiring 1-2 days per week in the Central London office, making it an ideal opportunity for those passionate about engineering challenges.

Senior Product Engineer – AI Data Platform (Hybrid) employer: Wave Talent

Wave Talent is an exceptional employer that fosters a collaborative and innovative work culture, perfect for Senior Fullstack Engineers looking to make a significant impact in the tech industry. With a competitive salary and equity options, employees benefit from a hybrid working model that promotes work-life balance, alongside ample opportunities for professional growth and mentorship. Located in London, the company offers a vibrant environment where creativity thrives, making it an ideal place for those eager to contribute to cutting-edge AI-powered solutions.

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Contact Details:

Wave Talent Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Product Engineer – AI Data Platform (Hybrid)

✨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 Wave Talent 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 Wave Talent.

✨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 Wave Talent.

✨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 Wave Talent 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 Product Engineer – AI Data Platform (Hybrid)

Python
FastAPI
AWS
Product Ownership
Mentoring
Data-Driven Solutions
Collaboration

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 Wave Talent.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Wave Talent 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 Wave Talent

✨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 Wave Talent 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.