Senior ML Ops Engineer — Remote & Flexible Hours in London

Senior ML Ops Engineer — Remote & Flexible Hours in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Evolve backend platforms for AI services and ensure reliable operations.
  • Company: Join Xantura Limited, a forward-thinking tech company.
  • Benefits: Enjoy remote work, flexible hours, and competitive salary.
  • Other info: Hybrid role with office attendance 1-2 days a week.
  • Why this job: Make a real impact in AI while working with cutting-edge technologies.
  • Qualifications: Strong Python skills and experience in MLOps and Azure.

The predicted salary is between 60000 - 80000 £ per year.

Xantura Limited is looking for a Senior ML Ops Engineer to join the Platform Delivery team. You will evolve the backend platform supporting their AI services, ensuring reliable operations for local authority clients.

The ideal candidate has strong Python skills, experience in MLOps, and a solid background in Azure-native technologies. This hybrid role is based in London, requiring office attendance at least 1-2 days a week.

Senior ML Ops Engineer — Remote & Flexible Hours in London employer: Xantura Limited

Xantura Limited is an excellent employer that values innovation and collaboration, offering a flexible work environment that promotes a healthy work-life balance. With opportunities for professional growth in the rapidly evolving field of AI and MLOps, employees are encouraged to develop their skills while contributing to meaningful projects that support local authorities. The supportive culture and commitment to employee well-being make Xantura a standout choice for those seeking a rewarding career in technology.

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Contact Details:

Xantura Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML Ops Engineer — Remote & Flexible Hours 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 Xantura Limited 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 Xantura Limited.

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 Xantura Limited.

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 Xantura Limited 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 Senior ML Ops Engineer — Remote & Flexible Hours in London

Python
MLOps
Azure-native technologies
Backend Development
AI Services
Reliability Engineering
Cloud Computing

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 Xantura Limited.

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

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 Xantura Limited 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.