At a Glance
- Tasks: Design and deploy advanced AI models to solve real-world problems in healthcare, government, and energy.
- Company: Innovative AI startup co-founded by industry leaders, focused on impactful solutions.
- Benefits: Competitive salary, unlimited PTO, paid parental leave, daily lunches, and commuter benefits.
- Other info: Dynamic environment with opportunities for rapid career growth and meaningful contributions.
- Why this job: Make a real impact with cutting-edge AI technology while collaborating with top experts.
- Qualifications: Degree in Computer Science or related field; experience with GenAI applications and ML frameworks.
The predicted salary is between 63000 - 77000 £ per year.
About Brain Co. Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy. We are building AI applications for the world’s most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries.
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
Company momentum:
- Raised a $55M Series A from leading investors
- Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks
At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate. We are looking for leaders who want to help bring new technology into institutions that impact millions of people.
About The Role As an AI/ML Engineer, Deployed 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. Your work will directly impact how AI benefits individuals, businesses, and society at large.
- 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. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.
- 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 impactful industry 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
- Paid Maternity and Paternity Leave
- 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.
Machine Learning Engineer, Applied AI - Deployed in London 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 in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Brain Co.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Machine Learning Engineer, Applied AI - Deployed at Brain Co..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Brain Co..
✨Apply Directly through Our Website
When you find a suitable opening like Machine Learning Engineer, Applied AI - Deployed at Brain Co., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Machine Learning Engineer, Applied AI - Deployed in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Brain Co., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Brain Co.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Brain Co.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Brain Co.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
