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- Tasks: Develop and deploy AI agents for high-tech greenhouses, enhancing global food security.
- Company: Join a pioneering startup backed by experts from Google DeepMind and top venture capitalists.
- Benefits: Competitive salary up to £125k, equity options, and opportunities for professional growth.
- Why this job: Make a real impact on sustainable agriculture and tackle global challenges with cutting-edge technology.
- Qualifications: Experience in machine learning, optimisation, and software engineering, especially in Python.
- Other info: Dynamic startup environment with significant career advancement potential.
The predicted salary is between 70000 - 125000 £ per year.
Optimal Agriculture has developed the most advanced operating platform for high-tech greenhouses, which are critical to the future of agriculture. By enhancing human nutrition and fortifying global food security against climate change and geopolitical risks, Optimal is pioneering sustainable solutions for agriculture.
Optimal is building AI agents to control the world’s most critical infrastructure - from factories to datacentres, starting with high-tech greenhouses. We have already built the world’s most advanced AI control for high-tech greenhouses and have proven breakthrough performance in customer greenhouses. We are actively scaling to more greenhouses and have signed integration partnerships allowing us to access 75% of the world’s greenhouses.
High-tech greenhouses are key to our agricultural future - for improving human nutrition and securing our food system against climate change and geopolitical instability. But the shortage of skilled operators causes existing greenhouses to underperform and prevents new greenhouses being built. Our AI increases the profits of individual greenhouses by >$1M/year, increases yields, reduces energy and water usage, and unlocks global greenhouse expansion.
Your Role: As an AI Simulation and Control Engineer, you will have direct responsibility for the development and deployment of Optimal's AI agents at the most advanced greenhouses in the world. You will play a critical role in delivering AI to these greenhouses. This role is aimed at an ambitious engineer who is looking to play a fundamental role in delivering AI product at a fast-growing startup.
Your first 90 days:
- Visit a high-tech greenhouse to understand crops, hardware, and the underlying physical/biological processes.
- Adapt Optimal’s state-of-the-art simulation models to the greenhouse of a new customer and train the models on proprietary data from that greenhouse.
- Integrate the simulation models into Optimal’s AI control framework, taking real-time control of all of the greenhouse actuators.
- Monitor, review and continuously improve the performance of Optimal's AI to maximise crop yields and minimise resource consumption, working closely with our agronomy experts.
Technical skills:
- Experience training Machine Learning models.
- Strong background in at least one of Machine Learning, Optimisation, Control (Model Predictive Control, Optimal Control, and classical feedback techniques), Reinforcement Learning, Physics Modelling and Numerical Simulation.
- Software engineering in Python (Julia is a bonus).
- Software engineering processes and tools (containers, version control, deployments etc).
- AI coding.
Compensation: Salary: £70k – £125k, Equity: 0.5% – 5.0%
AI Simulation and Control Engineer (up to £125k + equity) in London employer: Optimal Agriculture
Contact Detail:
Optimal Agriculture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Simulation and Control Engineer (up to £125k + equity) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI, machine learning, or control systems. This gives employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions and scenarios that relate to AI and control engineering. Confidence is key, so be ready to demonstrate your expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our mission to revolutionise agriculture with AI.
We think you need these skills to ace AI Simulation and Control Engineer (up to £125k + equity) in London
Some tips for your application 🫡
Show Your Passion for Agriculture: When you're writing your application, let your enthusiasm for sustainable agriculture shine through. We want to see how your skills can contribute to our mission of enhancing food security and nutrition. Make it personal and relatable!
Highlight Relevant Experience: Be sure to showcase any experience you have with AI, machine learning, or control systems. We’re looking for engineers who can hit the ground running, so don’t hold back on sharing your past projects and achievements that align with our goals.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the AI Simulation and Control Engineer role. We appreciate when candidates take the extra step to connect their skills with what we do at Optimal.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Optimal Agriculture
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI, especially in areas like Machine Learning and Control Systems. Be ready to discuss your experience with training models and how you've applied these skills in real-world scenarios. This will show that you're not just familiar with the concepts but can also implement them effectively.
✨Understand the Greenhouse Game
Familiarise yourself with the specifics of high-tech greenhouses and their operational challenges. Research Optimal’s technology and think about how your role as an AI Simulation and Control Engineer can directly impact crop yields and resource efficiency. Showing genuine interest in the company's mission will set you apart.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your engineering skills. Be prepared to solve problems on the spot or explain your thought process in detail. Practising coding challenges in Python (and Julia if you can) will help you feel more confident during the interview.
✨Show Your Collaborative Spirit
This role involves working closely with agronomy experts and other engineers. Be ready to discuss examples of how you've successfully collaborated in the past. Highlight your communication skills and your ability to work in a team, as this is crucial for driving Optimal's innovative projects forward.