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

Apply Now

Full Stack Engineer

Haystack
Liverpool
9 months ago
Applications closed

Related Jobs

View all jobs

Senior MLops (Full Stack) Engineer | London | Foundation Models in London - SoCode Recruitment

Machine Learning Manager, London

Machine Learning Software Engineer - Full Stack (LLM) in London - Aquent

DataOps Engineer

Research Engineer, ML, AI & Computer Vision

Machine Learning Engineer - Customer Solutions

Senior .NET Developer


About Us

We are on a mission to accelerate home decarbonisation by making it easy for anyone to start that journey today. We help households implement the most impactful energy and carbon-saving measures within their budgets and circumstances.


We’ve developed a comprehensive technology platform that simplifies the entire domestic heating electrification lifecycle, from decision-making to installation and ongoing monitoring. Our tech stack includes machine learning tools for analyzing energy tariffs, LiDAR for home scanning, and generative AI for installation tooling—offering an exciting array of technologies for you to work on.


As a Seed-stage company with institutional backing, we have ambitious growth plans and the necessary funding to achieve them. Join our small but expanding team to help shape our core platform technologies.


Your Role

Our core platform services are crucial in integrating householder and installer experiences. Your responsibilities will include:

  • Understanding core heating system and physics concepts underpinning our modeling.
  • Designing, developing, and maintaining our core platform services, including APIs, workflows, and data pipelines.
  • Supporting front-end teams with UI product integration.
  • Assisting product owners by providing technical insights during requirement refinement.
  • Supporting existing applications in production.
  • Collaborating with team members through peer review.


What We’re Looking For

You are motivated by our mission to reduce household energy consumption and carbon emissions, with a keen interest in heating systems and energy technologies.


Communication and Interaction

  • Excellent communicator with strong spoken and written English skills.
  • Attention to detail.
  • Experience working well within a hybrid/remote team environment.


Technical Skills

  • Proven experience in designing, implementing, and deploying .NET Core solutions (Web API, MVC) and delivering full-stack solutions, including web interfaces.
  • Strong experience with application security best practices.
  • Familiarity with OAuth/OpenID patterns for authentication and authorization.
  • Experience troubleshooting complex .NET solutions in production environments.
  • Broad knowledge of application infrastructure concepts like DNS, networks, and connectivity issues.
  • Experience with Azure infrastructure, topology, and deployment.
  • Experience collaborating with product owners to resolve design conflicts.
  • Proven track record of learning new skills and technologies.
  • Strong background in math/physics or other sciences equivalent to A-level.


Technologies/Skills

  • Required:C#, .NET Core, Entity Framework, Git/GitHub Workflow, Azure Application Deployment, OAuth2/OpenID, MSSQL.
  • Desirable:Mass Transit, Docker, Content Management, Azure Infrastructure Management, Azure Functions, ARM/Terraform, JavaScript, MySQL.
  • Bonus:Experience in training/refining GPT models, Google Analytics Configuration.


What You Can Expect From Us

  • Impactful work towards net-zero carbon emissions.
  • Autonomy in shaping core platform technologies.
  • Backed by institutional funding with ambitious growth plans.
  • Exposure to a range of cutting-edge technologies.
  • Collaboration with a talented and supportive team.


Interview Process

We prioritise hiring and want to ensure mutual compatibility. Our process includes:

  • Initial introductory call from a hiring manager.
  • Time-constrained technical task for shortlisted candidates.
  • Technical interview with a team member.
  • Final culture fit interview with a senior leader.

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

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.