Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Software Engineer

Yottar
Newcastle upon Tyne
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer, Machine Learning

Senior Data Engineer (AI & MLOps, AWS, Python)

Senior AI Engineer - Generative AI and Search - Artificial Intelligence

Senior AI Engineer - Generative AI and Search - Artificial Intelligence

Senior Machine Learning Engineer London, United Kingdom

Senior Computer Vision Engineer - Robotics

Senior Software Engineer (Python / Node / TypeScript)


Location:Remote, UK

Salary:£70,000 - 90,000

Term:Permanent

About Yottar

Yottar is a startup on a mission to accelerate the transition to net-zero electricity through data science and good data engineering.


Yottar is building a digital twin of electricity grids and applying machine learning to optimise the siting and design of energy assets. We are highly focussed on a critical bottleneck to the transition to net zero electricity - helping clean energy asset developers understand how and where they can connect to the electricity networks. Grid congestion has emerged as the single biggest bottleneck to the development of zero emission energy systems and all energy asset developers from solar farm developers, battery storage, EV charging and commercial and industrial demand developers, are struggling to get grid connections that don’t require expensive upgrades resulting in lengthy project delays.


Our platform will provide optimised recommendations for energy asset developers on where they should site, and how they should design assets according to what is possible on the grid.


About the role

We are looking for a full stack Senior Software Engineer to take ownership of delivering core elements of the Yottar platform, to coordinate with data scientists and sector experts and help solve one of the biggest challenges in the energy sector. This person will lead the development of key features of the Yottar platform such as the development of a marketplace for grid connections, and core optimisation features.


Team

You will join a foundational team focussed on rapidly building and scaling Yottar. You will play a leading role in designing and shaping the platform and team. Our approach is to ship fast, build iteratively, and talk to current and prospective users as much as possible.

Qualifications and skills:


  • At least 5+ years of full stack experience:
  • Very strong backend engineering skills - Python is a must-have, and experience with Node is a bonus. We look for a willingness to learn other technologies on the job.
  • A pragmatic approach to writing well-tested, maintainable code
  • Experience with frontend frameworks like React and Next.js, and TypeScript
  • Knowledge of SQL databases, including Postgres and PostGIS


Desirable:

  • Proficiency in CI/CD practices, with experience deploying and operating continuously deployed applications in production
  • Experience with Docker, Google Cloud, Terraform and other cloud-native tooling​


Benefits:

  • Share options: We offer attractive share options to our employees.
  • 25 days of paid time off, plus UK bank holidays.
  • Paid maternity, paternity, adoption, or shared parental leave.
  • Personal learning budget of up to £500 a year, plus further role-specific training budget.
  • Up to 4% pension matching.


Equal Opportunities

Yottar is an Equal Opportunity Employer. We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.



Values

Yottar is a values-led company. We hold the following values as being especially important in delivering our mission:

  • Impact and speed:We are in a climate crisis. We need to be highly focussed on work that can have the most impact. This means thinking big, being focussed and shipping rapidly.
  • Think differently:We need to innovate in order to accelerate the transition to net zero. We need to be continuously seeking new and better ways of doing things.
  • Obsessive user focus:Impact comes from listening carefully to those experiencing the challenges we are seeking to address, and rapidly building solutions to help them.
  • Kindness:How we do things intrinsically impacts the outcome of our work. We seek to create an internal culture and external reach based on collaboration, inclusivity and kindness.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.