At a Glance
- Tasks: Build and deploy AI systems that enhance speed and accuracy in real-world workflows.
- Company: Join a YC-backed start-up transforming traditional industries with AI.
- Benefits: Competitive salary, dynamic work environment, and opportunities for rapid career growth.
- Other info: Be part of a high-performance culture in a fast-paced startup.
- Why this job: Make a real impact by turning complex processes into innovative AI solutions.
- Qualifications: 2+ years in AI/ML engineering and a passion for shipping impactful projects.
The predicted salary is between 70000 - 90000 £ per year.
We’re working with a YC-backed, venture-funded technology company using AI to transform a large, traditional industry. They’ve already raised significant funding, work with major enterprise customers, and are scaling a high-performing engineering team to build AI systems that power complex, real-world workflows.
The Role
You’ll join as an AI/ML Engineer, building and deploying AI systems that improve speed, accuracy, and customer experience across mission-critical operations. This is a hands-on role for someone who wants to ship quickly, work closely with domain experts, and turn complex processes into production-ready AI workflows.
What You’ll Do
- Build AI systems that improve accuracy, speed, and decision-making
- Turn complex operational processes into AI-driven workflows
- Deploy ML solutions into production at scale
- Work closely with domain experts, users, and founders
- Help shape the engineering culture as the team grows
Requirements
- 2+ years’ experience in AI/ML engineering or research
- A track record of delivering AI/ML projects from concept to production
- Strong product instincts and a bias for shipping
- The ability to work well with non-technical users
- Comfort operating in a fast-paced, ambiguous startup environment
- Excitement for an intense, high-performance culture
AI/ML Engineer in London employer: Stott and May
Join a dynamic YC-backed start-up in London, where innovation meets opportunity. As an AI/ML Engineer, you'll thrive in a high-performance culture that values rapid shipping and collaboration with domain experts, all while contributing to transformative AI solutions for major enterprise clients. With significant funding and a commitment to employee growth, this is an exceptional place to advance your career in a fast-paced, supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Engineer in London
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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 Stott and May.
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We think you need these skills to ace AI/ML Engineer 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 Stott and May, 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 Stott and May. 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 Stott and May
✨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
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 Stott and May!
✨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.
