Applied AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌐 United Kingdom, United States, +3 more countries – Remote

🇬🇧 United Kingdom – Remote 🇺🇸 United States – Remote 🇨🇭 Switzerland – Remote 🇦🇪 United Arab Emirates (UAE) – Remote 🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Fuse Energy

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

⚡ Energy

💰 Venture Round on 2022-09

Consulting • Logistics • Energy

Fuse Energy is an energy company that simplifies the process of switching electricity suppliers and provides real-time billing information. They offer competitive tariffs in the UK and operate solar and wind projects, reinvesting profits into renewable energy initiatives worldwide. Fuse Energy aims to provide customers with transparent billing and easy switching through their app, while promoting sustainability.

📋 Description

• Ship AI features for customers, such as personalised energy recommendations and onboarding from an energy bill • Build LLM applications and agents for support, engineering, warehouse and back-office teams, including multi-agent systems and durable workflows such as Temporal • Build cloud infrastructure, integrations and access control around AI applications • Own evaluation through datasets, golden answers, human and LLM judges, and A/B tests • Choose models based on performance, latency and cost, and revisit choices as models improve • Collaborate with trading, operations and backend teams so models reflect real-time market conditions, energy pricing, demand and weather forecasts • Monitor AI systems in production and maintain their reliability

🎯 Requirements

• 3+ years of experience, with requirements varying by role level • Experience owning an applied AI system end to end, ideally in a startup or small team, and able to explain what broke and how you knew it worked • Software engineering experience transitioned into applied AI, or ML engineering experience writing production code • Strong Python (or similar) and experience deploying LLMs or VLMs into production • Solid understanding of cloud technologies, containerisation and scalable AI applications • Analytical, rigorous and quick to learn; ability to pick up new tools • Bonus: PyTorch or TensorFlow; forecasting, weather and demand modelling; energy markets and trading; fine-tuning or RL; vision, document or NLP pipelines; agent runtimes and MCP

🏖️ Benefits

• Competitive salary and eligibility for equity • Biannual bonus scheme • Fully expensed tech to match your needs • Private health insurance • Breakfast and dinner allowance for office-based employees • Benefits may vary by location

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