At a Glance
- Tasks: Lead the development of cutting-edge AI models and optimise performance for scalability.
- Company: Exciting VC-backed AI/ML startup in West London with a focus on innovation.
- Benefits: Competitive salary, equity options, and opportunities for professional growth.
- Other info: Dynamic work environment with a strong emphasis on collaboration and problem-solving.
- Why this job: Join a pioneering team and shape the future of automated software delivery.
- Qualifications: Expertise in large-scale ML systems and deep learning frameworks like PyTorch.
The predicted salary is between 100000 - 150000 £ per year.
Our client is seeking a Senior ML Engineer to lead the research, development, and deployment of their novel foundation model. This role involves defining the technical strategy and optimizing performance to ensure scalability for their AI/ML start-up in London.
What You’ll Be Doing
- Lead the research, development, and production deployment of Hypercritical’s foundation model.
- Define the long-term technical strategy for high-performance Machine Learning systems.
- Optimize the model for peak performance across diverse hardware and ensure scalability for exponential user growth.
- Serve as the technical guardian for the model’s quality and Service Level Objectives (SLOs).
- Provide a hands‑on solution architecture for the core ML infrastructure.
- Select, evaluate, and implement state‑of‑the‑art technologies.
- Profile and optimize the end‑to‑end ML stack.
- Design and implement GPU‑accelerated components, including custom CUDA kernels.
- Work closely with the founders to translate product requirements into technical roadmaps.
- Build internal tooling, benchmarks, and evaluation harnesses.
What We’re Looking For
- Expertise in designing, architecting, and implementing large‑scale foundation models.
- Significant hands‑on experience optimizing and debugging deep learning models.
- Practical experience with distributed or large‑scale training and inference.
- Deep understanding of at least one major deep learning framework (ideally PyTorch).
- Experience building and operating ML systems on cloud platforms.
- Passion and determination.
- Able to grind through complicated and ambiguous problems.
- Delivery‑oriented; respects timelines and commitments.
- Openness to disagreement.
- On‑site work in London preferred – remote work with visits in office once a month acceptable.
Compensation & Benefits
Salary range: £100,000 – £150,000
Equity: Share options
About The Company
Our client is an AI/ML tech start‑up developing a novel foundation model aimed at achieving fully automated, unsupervised software delivery in embedded control systems. Based in West London, they are backed by venture capital and are scaling their team.
Senior ML Engineer (+ Equity) at VC-backed AI/ML startup in London employer: TechTree
Join a dynamic and innovative AI/ML start-up in West London, where you will have the opportunity to lead cutting-edge research and development in machine learning. With a strong focus on employee growth, a collaborative work culture, and the potential for equity participation, this company offers a unique environment for passionate individuals looking to make a significant impact in the tech industry. Enjoy the benefits of working in a vibrant city while being part of a team that values creativity and technical excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer (+ Equity) at VC-backed AI/ML startup in London
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We think you need these skills to ace Senior ML Engineer (+ Equity) at VC-backed AI/ML startup 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!
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Craft a Tailored Cover Letter:For a full-time role at TechTree, 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 TechTree. 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 TechTree
✨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!
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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
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✨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.
