Oxford Senior AI Engineer - Lead LLM-Driven Grid Analytics

Oxford Senior AI Engineer - Lead LLM-Driven Grid Analytics

Oxford Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Aurora Energy Research

At a Glance

  • Tasks: Lead a dynamic team to develop AI-driven software for global power grid analytics.
  • Company: Aurora Energy Research, a forward-thinking company based in Oxford.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a fast-paced environment with significant impact on energy research.
  • Why this job: Make a real difference in the transition to net-zero with innovative AI solutions.
  • Qualifications: Experience in software engineering and a passion for AI and data analytics.

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

Aurora Energy Research, based in Oxford, UK, is seeking a Senior Software Engineer in the Tech - AI and Data Engineering team to build cloud-based software for tracking and modelling power grids worldwide.

You will lead a small, fast-paced team, drive end-to-end projects from concept to production, and apply AI tooling to deliver scalable backend systems that support researchers, investors, and policy-makers in the transition to net-zero.

Oxford Senior AI Engineer - Lead LLM-Driven Grid Analytics employer: Aurora Energy Research

Aurora Energy Research is an exceptional employer located in the vibrant city of Oxford, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive private medical and dental insurance, alongside ample opportunities for professional growth within the rapidly evolving energy sector. Joining our AI and Data Engineering team means being part of a mission-driven organisation dedicated to transforming energy markets while working with cutting-edge technology.

Aurora Energy Research

Contact Details:

Aurora Energy Research Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Oxford Senior AI Engineer - Lead LLM-Driven Grid Analytics

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 Aurora Energy Research 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 Aurora Energy Research.

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 Aurora Energy Research.

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 Aurora Energy Research 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 Oxford Senior AI Engineer - Lead LLM-Driven Grid Analytics

Python
Problem-Solving Skills
SQL
Data Engineering
Data Pipeline Development
API Integration
Communication Skills

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 Aurora Energy Research.

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

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 Aurora Energy Research 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.