Avatar for Gryd Energy
Smart solar and storage for every new home at no cost

Technical Lead (Energy Systems)

  • £70k – £75k
  • |
  • |3 years of exp
  • |Full Time
Posted: 2 months ago
Job Location
Remote Work Policy

In office - WFH flexibility

Visa Sponsorship

Not Available

RelocationNot Allowed
Skills
Renewable Energy Markets
Clean Energy
Renewable Energy Systems
Machine Learning Algorithms, Deep Learning, Artificial Neural Networks
Pyrthon

About the job

About Gryd

Gryd's mission is simple: solar and battery systems in every new-build home. Fully funded. No upfront cost to developers or homebuyers. And managed autonomously to deliver lower energy bills from day one.

We're embarking on a new project to build the technology that powers the next chapter — a platform that turns individual home solar-battery systems into a coordinated, intelligent energy network to minimise bills and reduce peak demand at critical grid nodes. It's novel work, it's funded, and it matters.

We're a small, focused team. We move fast, we care deeply about the work, and we're looking for people who bring the same energy.


The role

You'll be the primary engineer responsible for designing and building the core platform — and you'll be doing it from scratch.

The intellectual centre of the role is developing multi-objective optimisation and control algorithms that enable clusters of residential solar and battery systems to operate as coordinated, grid-aware networks — rather than independent household assets. Then comes the real test: moving from algorithm to production. Integrating with hardware platforms via manufacturer APIs, commissioning the system across live occupied homes, and validating that it works safely and reliably at scale.

This is a full-stack technical leadership role. You'll work closely with our Lead Data Scientist (whose forecasts feed your optimisation engine) and with Gryd's Project Lead and CPO on architecture and delivery. You'll also have access to an experienced external Energy Systems and Regulatory Advisor for specialist input on grid interaction, electricity markets, and energy system design.

The technology you build will become a core part of Gryd's commercial platform. Your technical decisions will have a lasting impact.


What you'll be doing

Optimisation and control

  • Defining system objectives and constraints for coordinated multi-home solar-battery operation
  • Designing and building multi-objective optimisation algorithms — household cost, battery health, portfolio value, peak demand management
  • Building control logic that operates within dispatch intervals, respects safety constraints, and fails safely under degraded conditions
  • Handling uncertainty and forecast imperfection in design, not as an afterthought
  • Running simulation-based validation before live deployment
  • Making the optimisation logic explainable and fair across households on a fixed subscription

Integration, deployment, and validation

  • Integrating optimisation logic with inverter and battery management systems via cloud platform APIs
  • Leading commissioning across clusters of live, occupied homes
  • Conducting functional and safety validation before full deployment sign-off
  • Managing iterative improvement post-deployment
  • Supporting the data team on performance evaluation

What we're looking for

You'll need:

  • Strong Python engineering skills with experience building production-grade systems
  • Experience in optimisation, control systems, or energy management software
  • Familiarity with distributed energy resources — solar PV, battery storage, or demand-side flexibility
  • The ability to design systems that work reliably under real-world conditions with incomplete or delayed data
  • Experience with API integration and third-party hardware or cloud platforms
  • Comfortable leading a technical workstream end-to-end — from research and design through to live deployment
  • Strong documentation and code quality practices

Helpful but not essential:

  • Experience with constraint-based or multi-objective optimisation (linear programming, MPC, reinforcement learning)
  • Familiarity with residential battery or inverter platforms and their cloud APIs
  • Understanding of UK electricity markets, grid flexibility, or DNO constraints
  • Startup or fast-moving product environment experience
  • Exposure to SCADA, BEMS, or similar control and monitoring systems
  • Innovate UK or other grant-funded R&D experience

What we offer

  • competitive salary
  • 18-month FTC — with genuine potential to go permanent as Gryd scales
  • Hybrid working, London base
  • The chance to build novel technology from scratch, deployed in real homes with measurable impact
  • A small team where your technical decisions directly shape the product
  • Direct access to the founders and exposure across the whole business
  • 25 days holiday plus bank holidays

Contract details

The contract runs from August/September 2026 to approximately January 2028. We're growing fast and the right person will have a route to a permanent role. 1 month notice period. PAYE terms.

Applicant must be located in the UK

To apply, send your CV and a short cover email — no more than a couple of paragraphs — to [email protected].

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