Machine Learning Engineer

Solve Intelligence; City Of London; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading AI technology startup in London is looking for a talented AI Engineer to develop and deploy proprietary algorithms for patent generation. You will build evaluation frameworks and work on full-stack solutions. Candidates must possess expert Python skills, experience with LLMs, and a strong work ethic. The company offers competitive salaries, equity, and significant support, including full visa sponsorship and private medical insurance.

Benefits

Competitive Salary + Significant Equity

Full visa sponsorship

Private medical insurance

Free meals

High-performance office culture

Qualifications

• Deep experience building and shipping AI solutions.
• A history of shipping algorithms and/or evaluation pipelines into live environments.
• Practical experience with prompt engineering and modern LLM architectures.

Responsibilities

• Develop and deploy proprietary algorithms for patent generation.
• Build a high-scale evaluation framework for proprietary models.
• Research and implement prompting methods to maximize model efficacy.
• Work across the stack (Python, Postgres, React) for seamless user experience.

Skills

Expert Python Skills

LLM Mastery

Clear Communication

Technical Versatility

Production Experience

Job description

At Solve Intelligence , we aren’t just "using" AI - we are building the proprietary algorithms that define the future of Intellectual Property. We have real paying users, massive traction, and a mission to build a billion-dollar company.

🏗️ The Role : AI Engineer

We are looking for a super-talented engineer to help us build state-of-the-art AI products extremely fast. You will lead the development of algorithms that push the envelope of what is possible with LLMs.

What you’ll own :

• Production-Ready AI : Develop and deploy proprietary algorithms that significantly increase the quality of generated patents.
• SOTA Evaluation Pipelines : Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&D.
• Advanced Prompt Engineering : Research and implement cutting-edge prompting methods to maximize model efficacy.
• Full-Stack Impact : While focused on AI, you’ll work across the stack (Python, Postgres, React) to ensure our research translates into a seamless user experience.

💡 About Solve Intelligence

We are the fastest-growing startup transforming the IP landscape. Our AI platform manages everything from invention harvesting to patent generation.

• Growth : 20-30% MoM revenue growth; selling to 300+ global IP teams (DLA Piper, tech giants, and boutiques).
• Impact : Users report 50-90% efficiency improvements.
• Backing : Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Insight Partners , Y Combinator , and HOF Capital.

👋 Co-Founders & Team

You will work directly with a founding team of AI PhDs and elite engineers :

• Sanj (CRO) : PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired).
• Chris (CEO) : PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute.
• Angus (CTO) : MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard).

🚀 Who You Are

We are a young company of highly motivated "hackers" building at a relentless pace.

• Speed is your default : You want to put things in the hands of customers in days, not months.
• You are a grinder : You have a strong work ethic and are willing to go the extra mile (long nights / weekends) to achieve excellence.
• You are an optimist : You thrive in a high-energy, positive environment and take extreme ownership of your outcomes.

🛠️ What You Bring

Must-Haves :

• Expert Python Skills : Deep experience building and shipping AI solutions.
• Production Experience : A history of shipping algorithms and / or evaluation pipelines into live environments.
• LLM Mastery : Practical experience with prompt engineering and modern LLM architectures.
• Technical Versatility : Familiarity with the full stack (Postgres, TypeScript, React).
• Clear Communication : Ability to articulate complex technical decisions clearly.

Nice-to-Haves :

• Publications at top ML conferences (NeurIPS, ICLR, ICML).
• Familiarity with frameworks like OpenAI Evals.
• A history of interesting GitHub contributions or "impressively difficult" side projects.

🎁 What We Offer

• Competitive Salary + Significant Equity : We want you to have true ownership in our success.
• Growth : Opportunity to work with a world-class team on a genuine rocket ship trajectory.
• Support : Full visa sponsorship and private medical insurance.
• The Goods : Free meals and a high-performance office culture in London.

Ready to build the future of AI? Apply now. 🚀