Senior ML Engineer — Production ML & Observability Lead

Senior ML Engineer — Production ML & Observability Lead

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Sage City

At a Glance

  • Tasks: Lead the transition of ML models into scalable services and manage automated pipelines.
  • Company: Sage City, a forward-thinking tech company in Newcastle upon Tyne.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on state-of-the-art ML solutions.
  • Why this job: Innovate with cutting-edge machine learning technologies and make a real impact.
  • Qualifications: Strong software engineering and cloud experience, especially in AWS.

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

Sage City is seeking a Senior ML Engineer in Newcastle upon Tyne to take ownership of the machine learning production environment. This hybrid role involves leading the transition of models into scalable services.

Key responsibilities include:

  • Managing automated pipelines
  • Establishing ML observability
  • Integrating models into the product ecosystem

This position requires strong software engineering and cloud experience, particularly in AWS. Join us to innovate with state-of-the-art technologies in machine learning!

Senior ML Engineer — Production ML & Observability Lead employer: Sage City

At Sage City, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Located in the vibrant city of Newcastle upon Tyne, we offer our employees competitive benefits, opportunities for professional growth, and the chance to work with cutting-edge technologies in machine learning. Join us to be part of a dynamic team that values your contributions and supports your career development in a hybrid work environment.

Sage City

Contact Details:

Sage City Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML Engineer — Production ML & Observability Lead

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 Sage City 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 Sage City.

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 Sage City.

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 Sage City 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 Engineer — Production ML & Observability Lead

Machine Learning
Software Engineering
Cloud Experience
AWS
Automated Pipelines
ML Observability
Model Integration

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 Sage City.

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

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 Sage City 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.