At a Glance
- Tasks: Design and deploy advanced AI models to solve real-world problems.
- Company: Join an innovative AI startup backed by Silicon Valley leaders.
- Benefits: Competitive salary, equity, unlimited PTO, and daily lunches.
- Other info: Dynamic environment with opportunities for rapid career growth.
- Why this job: Make a real impact with your work in healthcare, government, and energy sectors.
- Qualifications: Degree in Computer Science or related field; experience with GenAI applications.
The predicted salary is between 63000 - 77000 £ per year.
About Brain Co. Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders. We are building an AI platform and applications for the world’s most important institutions - delivering impact on real-world problems.
Our progress so far:
- Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value
- Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses
- Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work
- Raised a $30M Series A from top investors
- Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks
At Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.
About The Role: As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state‑of‑the‑art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.
In This Role, You Will:
- Innovate and Deploy: Design and deploy advanced LLM models to tackle real‑world problems, particularly in automating complex, manual processes in a range of real‑world verticals.
- Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.
- Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.
- Engage with Leaders: Interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex-founders, AI researchers, and software engineers to understand complex business challenges and deliver AI‑powered solutions.
- Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high‑quality engineering practices.
You Might Thrive In This Role If You:
- Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
- Have experience building GenAI‑focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.
- Have at least a high level familiarity with the architecture and operation of large language models.
- Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.
- Possess a strong foundation in data structures, algorithms, and software engineering principles.
- Exhibit excellent problem‑solving and analytical skills, with a proactive approach to challenges.
- Can work collaboratively with cross‑functional teams.
- Thrive in fast‑paced environments where priorities or deadlines may compete.
- Are eager to own problems end‑to‑end and willing to acquire any necessary knowledge to get the job done.
Benefits:
- Competitive salary plus equity
- Daily lunches
- Commuter benefits
- Unlimited PTO
Why Join Us:
- Ship quickly, iterate constantly and see your work deployed at global scale
- Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more
- Accelerate your career with ownership based on impact, not tenure
- Earn competitive compensation + meaningful equity in a high‑growth company
- Thrive in a culture built on speed, curiosity, and impact
If you want to see your work deployed at scale with real impact, Brain Co. is the place to build. This is a hybrid role that can be based in our London office.
Machine Learning Engineer, Applied AI - Deployed employer: Brain Co.
At Brain Co., we pride ourselves on being an exceptional employer that empowers our team to make a real-world impact through cutting-edge AI solutions. Our dynamic work culture fosters creativity and collaboration, allowing employees to take ownership of their projects from day one while benefiting from competitive salaries, equity options, and unlimited PTO. With opportunities for rapid career growth and the chance to work alongside industry veterans, Brain Co. is the ideal place for those looking to innovate and drive meaningful change in society.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer, Applied AI - Deployed
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Brain Co. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Brain Co..
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Brain Co..
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Brain Co. that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Machine Learning Engineer, Applied AI - Deployed
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Brain Co..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Brain Co. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Brain Co.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Brain Co. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
