AI Solutions Engineer for Engineering Impact in Oxford

AI Solutions Engineer for Engineering Impact in Oxford

Oxford Full-Time No working from home possible
Neural Concept

At a Glance

  • Tasks: Transform business challenges into AI solutions and guide projects from start to finish.
  • Company: Neural Concept, a leading innovator in AI technology.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Exciting work environment with a focus on innovation and collaboration.
  • Why this job: Join a dynamic team and make a real impact in the AI engineering space.
  • Qualifications: Strong technical skills and ability to communicate effectively with clients.

Neural Concept in the UK is seeking a Solutions Engineer to bridge engineering credibility with strategic influence. You’ll translate business challenges into AI-enabled solutions and guide deals from discovery to signed SOW, acting as the account’s technical compass.

You’ll run discovery sessions, define technical roadmaps, create client-tailored demos, and collaborate with Sales and the Forward Deployed Engineering team to ensure smooth pre-sales to delivery transitions across UK accounts.

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AI Solutions Engineer for Engineering Impact in Oxford employer: Neural Concept

Neural Concept is an exceptional employer, offering a dynamic and collaborative work culture that fosters innovation and professional growth. With a competitive salary and the flexibility of a hybrid working model, employees can thrive in a supportive environment while making a significant impact in the engineering sector. Join us in London to be part of a world-class technology team dedicated to revolutionising product design through advanced data science and machine learning.

Neural Concept

Contact Details:

Neural Concept Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Solutions Engineer for Engineering Impact in Oxford

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 Neural Concept 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 Neural Concept.

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 Neural Concept.

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 Neural Concept 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 AI Solutions Engineer for Engineering Impact in Oxford

AI Solutions Development
Technical Communication
Business Analysis
Discovery Session Facilitation
Technical Roadmap Definition
Client Engagement
Demo Creation

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 Neural Concept.

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

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 Neural Concept 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.