At a Glance
- Tasks: Design and deploy advanced AI models to solve real-world problems.
- Company: Join an innovative AI startup backed by industry leaders.
- Benefits: Competitive salary, equity, unlimited PTO, and daily lunches.
- Other info: Collaborate with top experts and accelerate your career in a dynamic culture.
- Why this job: Make a real impact with cutting-edge technology in a fast-paced environment.
- 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, backed by industry leaders such as Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of Open AI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of Open AI), and Aravind Srinivas (CEO of Perplexity).
We build an AI platform and applications for the world’s most important institutions, delivering impact on real‑world problems.
Our progress to date includes 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), and streamlined hospital patient care across national health systems (40% better outcomes, 80% less admin work).
We raised a $30M Series A from top investors and built a team of 40+ AI experts from Tesla, Google Deep Mind, NVIDIA, and Databricks.
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 real‑world problems in sectors such as healthcare, government, and energy.
You will turn research breakthroughs into practical solutions for various nation states, making AI technology both accessible and influential.
In This Role, You Will
- Design and deploy advanced LLM models to tackle real‑world problems, especially automating complex, manual processes in a range of verticals.
- 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 governments worldwide.
- Engage in projects such as optimizing the world’s most advanced energy production systems, modernizing core government workflows, and improving patient outcomes in advanced public healthcare systems.
- Interact directly with government officials in various countries and collaborate with experienced founders, AI researchers, and software engineers to understand complex business challenges and deliver AI‑powered solutions.
- Wear many hats—software building, product management, sales, and interpersonal skills—and participate in code reviews, share knowledge, and set an example with high‑quality engineering practices.
Qualifications
- Hold a BSc/Master’s/Ph D degree in Computer Science, Machine Learning, Data Science, or a related field.
- Have experience building Gen AI‑focused applications with the latest technologies, including agents, reasoning models, and RAG.
- Have a high‑level familiarity with the architecture and operation of large language models.
- Have personally implemented models in common ML frameworks such as Py Torch, Jax, or Tensor Flow.
- 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 and thrive in fast‑paced environments with competing priorities or deadlines.
- 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, Deep Mind, Databricks, and more.
Accelerate your career with ownership based on impact, not tenure.
Earn competitive compensation and 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 hybrid role can be based in our London office.
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AI/ML Engineer, Deployed in London employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Engineer, 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 Doist!
✨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 AI/ML Engineer, Deployed at Doist.
✨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 Doist.
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When you find a suitable opening like AI/ML Engineer, Deployed at Doist, 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 AI/ML Engineer, 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 Doist, 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 Doist. 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 Doist
✨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 Doist!
✨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.
