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 a traditional industry with AI.
- Benefits: Equity participation, health insurance, pension contributions, and company offsites.
- Other info: Fast-paced environment with opportunities to shape the engineering culture.
- Why this job: Make a real impact by turning complex processes into AI-driven solutions.
- Qualifications: 2+ years in AI/ML engineering and a passion for shipping 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 applications. 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
Benefits
- Equity participation
- UK Skilled Worker visa sponsorship
- Health insurance
- Pension contributions
- Company offsites
AI/ML Engineer - YC backed start-up in London employer: Stott and May
Join our dynamic and rapidly expanding cyber security organisation, where you will play a pivotal role in shaping the Offensive Security Strategy as a Penetration Testing Lead. We foster a collaborative work culture that prioritises employee growth through mentorship and hands-on experience, while offering competitive benefits and a commitment to staying at the forefront of industry trends. Located in a vibrant area, we provide unique opportunities for professional development and engagement with cutting-edge technologies, making us an excellent employer for those seeking meaningful and rewarding careers in cybersecurity.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Engineer - YC backed start-up in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Stott and May or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Stott and May.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Stott and May.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Stott and May that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI/ML Engineer - YC backed start-up in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Stott and May.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Stott and May and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Stott and May
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Stott and May uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
