AI Training Engineer: Build & Scale Production ML Systems

AI Training Engineer: Build & Scale Production ML Systems

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
Crossing Hurdles

At a Glance

  • Tasks: Design and manage production-grade ML systems while collaborating with diverse teams.
  • Company: Crossing Hurdles, a forward-thinking company focused on AI infrastructure.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on innovation and collaboration.
  • Why this job: Join us to shape the future of AI and make a real difference in tech.
  • Qualifications: Experience in software engineering or DevOps, with Docker and CI/CD skills.

The predicted salary is between 50000 - 70000 £ per year.

Crossing Hurdles is looking for a skilled engineer to design and manage production-grade system builds in the United Kingdom. The role involves collaborating with cross-functional teams on AI infrastructure and ensuring effective knowledge transfer through clear documentation.

The ideal candidate will have:

  • Strong experience in software engineering or DevOps
  • Proficiency with Docker and CI/CD workflows
  • Excellent communication skills to enhance teamwork and project outcomes

AI Training Engineer: Build & Scale Production ML Systems employer: Crossing Hurdles

At Crossing Hurdles, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As an AI Training Engineer, you will have access to continuous professional development opportunities and the chance to work with cutting-edge technology in a vibrant UK location, making it an ideal environment for those seeking meaningful and rewarding employment.

Crossing Hurdles

Contact Details:

Crossing Hurdles Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Training Engineer: Build & Scale Production ML Systems

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 Crossing Hurdles 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 Crossing Hurdles.

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 Crossing Hurdles.

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 Crossing Hurdles 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 Training Engineer: Build & Scale Production ML Systems

Software Engineering
DevOps
Docker
CI/CD Workflows
Communication Skills
Collaboration
Documentation

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 Crossing Hurdles.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Crossing Hurdles 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 Crossing Hurdles

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 Crossing Hurdles 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.