Technical Lead (Energy Systems)

Gryd Energy; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid working

London base

Direct access to founders

Job summary

Gryd Energy seeks a principal engineer to design and build the core platform from scratch. You will develop multi-objective optimisation and control algorithms to coordinate solar-battery clusters as a grid-aware network.

The role involves moving algorithms into production, integrating with hardware via APIs, and validating at scale in occupied homes. As a full-stack technical leader, you'll collaborate with the Lead Data Scientist, Project Lead, and CPO on architecture, with access to an

Qualifications

• Proven Python engineering skills with production-grade systems.
• Experience in optimisation, control, or energy management software.
• Familiarity with distributed energy resources like solar PV or batteries.
• Ability to design robust systems with incomplete or delayed data.
• Experience integrating with APIs and hardware/cloud platforms.
• Ability to lead a technical workstream from research to live deployment.
• Strong documentation and code quality practices.

Responsibilities

• Define system objectives and constraints for multi-home solar-battery operation.
• Design and build multi-objective optimisation algorithms (cost, health, value, peak management).
• Develop control logic for dispatch intervals with safety constraints and fail-safety.
• Validate designs with simulations before live deployment.
• Integrate optimisation with inverter and battery management via cloud APIs.
• Lead commissioning across clusters of live homes and support performance evaluation.

Skills

Python

Optimization

Energy management

Data handling

API integration

End-to-end leadership

Documentation

Job description

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
• 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

• 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 and the success of the business
• Direct access to the founders and exposure across the whole business

The contract runs from August/September 2026 to approximately January 2028. We're growing fast and the intention for this to convert to a permanent role. 1 month notice period. PAYE terms. Applicant must be located in the UK.