Senior .NET Full-Stack Engineer for AI Platform (Hybrid) in London

Senior .NET Full-Stack Engineer for AI Platform (Hybrid) in London

London Full-Time 65000 - 75000 £ / year (est.) Home office (partial)
Data Science Festival

At a Glance

  • Tasks: Enhance a core AI platform and deliver interactive experiences.
  • Company: Join Data Science Festival, a leader in innovative tech solutions.
  • Benefits: Hybrid work model, competitive salary, and opportunities for growth.
  • Other info: Be part of a dynamic team driving technological advancements.
  • Why this job: Make a real impact by integrating AI into exciting projects.
  • Qualifications: Proven .NET development skills and experience in collaborative environments.

The predicted salary is between 65000 - 75000 £ per year.

Data Science Festival is seeking a .

Net Developer to take ownership of a core product platform that evolves with the organization.

This senior role is primarily focused on enhancing the platform to deliver interactive experiences.

You will closely collaborate with product, design, and engineering teams to improve features and security while integrating AI.

The opportunity offers a hybrid work model and a salary range of £65K to £75K.

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Senior .NET Full-Stack Engineer for AI Platform (Hybrid) in London employer: Data Science Festival

At Data Idols, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid working model in London allows for flexibility while you contribute to a cutting-edge AI-powered platform, with ample opportunities for professional growth and influence over key architectural decisions. Join us to be part of a high-performing engineering team where your expertise will directly impact the future of technology in a supportive and forward-thinking environment.

Data Science Festival

Contact Details:

Data Science Festival Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior .NET Full-Stack Engineer for AI Platform (Hybrid) 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 Data Science Festival 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 Data Science Festival.

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 Data Science Festival.

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 Data Science Festival 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 .NET Full-Stack Engineer for AI Platform (Hybrid) in London

.NET Development
Full-Stack Development
AI Integration
Collaboration Skills
Product Enhancement
Feature Improvement
Security Best Practices

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 Data Science Festival.

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

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 Data Science Festival 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.