At a Glance
- Tasks: Lead the development of groundbreaking AI/ML models and optimise performance for real-world applications.
- Company: Exciting AI/ML start-up in West London, backed by venture capital.
- Benefits: Competitive salary, flexible work options, and a chance to shape the future of software delivery.
- Other info: Transparent culture with minimal interviews and significant career growth opportunities.
- Why this job: Join us to revolutionise software development with innovative technology and make a lasting impact.
- Qualifications: Expertise in large-scale ML models and hands-on experience with deep learning frameworks.
The predicted salary is between 70000 - 90000 £ per year.
AI/ML tech start-up, developing a novel foundation model, with a singular vision: to achieve fully automated, unsupervised software delivery in embedded control systems. Based in West London backed by venture capital.
Job Description
- 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 (e.g., distributed training, specialized hardware, efficient serving frameworks).
- Profile and optimize the end-to-end ML stack: data pipelines, training loops, inference serving, and deployment.
- Design and implement GPU-accelerated components, including custom CUDA kernels where off-the-shelf libraries are not enough.
- Work closely with the founders to translate product requirements into concrete optimization goals and technical roadmaps.
- Build internal tooling, benchmarks, and evaluation harnesses that make it easy for the rest of the team to experiment, debug, and ship safely.
Why work with us:
- Youll make a significant impact, getting in on the ground floor of a company that will alter software development forever.
- You will shape how a never-before-seen foundation model is trained, optimized, and deployed.
- Our level of transparency is unusual. No management jargon, you will get the simple truth, never a lie.
About the Interview:
- No live or take-home coding tasks. 2 interviews max, 1hr (cultural, online) with CEO and 2hr (technical, face-to-face) with CPO.
Requirements
- Expertise in designing, architecting, and implementing large-scale foundation models.
- Significant hands-on experience optimising 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.
- Onsite work in London preferred - remote work with visits in office once a month acceptable.
Senior ML Engineer in London employer: EuroBusiness Products Resourcing
Join a pioneering AI/ML tech start-up in West London, where your contributions will directly influence the future of automated software delivery. With a culture rooted in transparency and innovation, you'll have the opportunity to lead cutting-edge research and development while enjoying significant growth potential in a dynamic environment. Our commitment to employee development and a collaborative atmosphere ensures that you will thrive both personally and professionally as we revolutionise the industry together.
Contact Details:
EuroBusiness Products Resourcing Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI/ML space, especially those who work at start-ups. Use platforms like LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to foundation models or ML systems. This will give you an edge during interviews and help us see your hands-on experience.
✨Tip Number 3
Prepare for the cultural fit! Research our company values and be ready to discuss how your personal values align with ours. We love transparency and honesty, so be yourself and let your passion shine through.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you're genuinely interested in being part of our journey to revolutionise software development.
We think you need these skills to ace Senior ML Engineer in London
Some tips for your application 🫡
Show Your Passion for AI/ML:When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see that you’re not just skilled, but genuinely excited about the potential of these technologies to change the world.
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your relevant experience with foundation models and deep learning frameworks like PyTorch. We love seeing how your unique skills align with our mission!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the role. Remember, we’re looking for someone who can communicate complex ideas simply.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at EuroBusiness Products Resourcing
✨Know Your Stuff
Make sure you brush up on your knowledge of large-scale foundation models and deep learning frameworks, especially PyTorch. Be ready to discuss your hands-on experience with optimising and debugging models, as this will likely come up in the technical interview.
✨Show Your Passion
This role is all about innovation and pushing boundaries, so let your enthusiasm for AI/ML shine through. Share examples of projects you've worked on that demonstrate your passion and determination to tackle complex problems.
✨Understand Their Vision
Familiarise yourself with the company's mission to achieve fully automated software delivery. Think about how your skills can contribute to this vision and be prepared to discuss how you would approach defining the technical strategy for their foundation model.
✨Be Ready for a Chat
The interviews are conversational, so don’t stress about coding tasks. Instead, focus on articulating your thoughts clearly and engaging with the CEO and CPO. Prepare questions that show your interest in their approach to transparency and innovation in the AI/ML space.
