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Aurora Energy Research Limited is seeking a Senior AI Software Engineer to lead a team of engineers and data scientists in building cloud-based software for modelling power grids. You will own projects from initial user discussions to fully deployed production systems, collaborating with modelling and data teams to embed insights into live platforms.
The role emphasizes working in a small, fast-paced team releasing multiple changes daily, with a strong focus on problem solving, teamwork, and
Department: Tech - Software Engineering
Employment Type: Permanent - Full Time
Location: Oxford, UK
Please note that we are open to considering candidates who require visa sponsorship (subject to eligibility and company approval)
Aurora helps governments, investors, and utilities make billion-dollar decisions on the journey to net-zero. Based in Oxford, you will work in a dynamic and growing engineering organisation that builds cloud-based software to track and model power grids around the world.
As a Software Engineer on the AI team you will build systems where LLMs autonomously plan, and call tools, to navigate large, multi-dimensional, fast-evolving data. Your work will amplify the value of Aurora's data, models, and forecasts to researchers, investors, and policy-makers around the world, and directly impact the decisions that drive the decarbonisation of grids around the world.
You will work in a small, fast-paced team that releases changes multiple times a day. The successful applicant will be an excellent problem solver, a strong team player, and a proven ability to take big projects from conception to production.
Required attributes:
Desirable attributes:
Some of the benefits we include are:
At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in-office/home working and potentially adjustable working hours. Let’s discuss what works for you and AER during the interview process.
The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.