At a Glance
- Tasks: Lead and scale machine learning engineering while mentoring a team of ML engineers.
- Company: Join a well-established organisation focused on data and AI innovation.
- Benefits: Competitive salary, mentorship opportunities, and hands-on engineering experience.
- Other info: Dynamic role with opportunities for career growth and collaboration with data scientists.
- Why this job: Shape the future of machine learning and make a real impact in production systems.
- Qualifications: Strong ML system deployment experience and excellent Python skills required.
The predicted salary is between 70000 - 90000 £ per year.
This is an opportunity for a Lead Machine Learning Engineer to help shape and scale machine learning engineering within a growing data and AI function. The role combines technical leadership with hands-on engineering, focusing on building and operating production ML systems and evolving the organisation’s MLOps capability. You will take ownership of the ML engineering platform, ensuring models can be reliably deployed, monitored and maintained in production. Working closely with data scientists, platform teams and cross-functional squads, you will help move models from experimentation into robust production services. Alongside the technical responsibilities, you will also mentor and guide a small team of ML engineers, helping establish engineering standards, best practices and scalable deployment patterns across the organisation.
What they’re looking for:
- Strong experience building and deploying production machine learning systems
- Excellent Python and software engineering fundamentals
- Experience with MLOps, CI/CD pipelines, and model lifecycle management
- Hands-on experience with cloud platforms (AWS, GCP or Azure) and containerised deployments
- Experience with infrastructure as code and modern engineering workflows
- Ability to work closely with data science teams to productionise models
- Previous experience mentoring or leading engineers is highly desirable
This is a great opportunity to play a key role in scaling machine learning capability within a well-established organisation while remaining close to hands-on engineering and architecture.
If you’re interested, apply now or reach out to Oscar Harper at IC Resources.
Lead ML Engineer in London employer: IC Resources
Join a forward-thinking organisation in Austin, Texas, where as a Lead Machine Learning Engineer, you will not only lead the charge in scaling machine learning capabilities but also enjoy a collaborative work culture that prioritises innovation and mentorship. With a strong focus on employee growth, you will have the opportunity to shape engineering standards while working closely with talented data scientists and engineers, all within a supportive environment that values hands-on contributions and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Lead ML Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in machine learning or related fields. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving production ML systems. This will give potential employers a taste of what you can do and how you approach real-world problems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and MLOps knowledge. Practice coding challenges and be ready to discuss your past experiences with deploying models and working with cloud platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead ML Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead ML Engineer role. Highlight your experience with production ML systems, Python, and MLOps to grab our attention!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of your hands-on engineering work and how you've mentored others in the past.
Showcase Your Projects:If you’ve worked on any relevant projects, don’t hesitate to include them! We love seeing real-world applications of your skills, especially in cloud platforms and containerised deployments.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at IC Resources
✨Know Your ML Systems Inside Out
Make sure you can discuss your experience with building and deploying production machine learning systems in detail. Be ready to share specific examples of projects you've worked on, the challenges you faced, and how you overcame them.
✨Show Off Your Python Skills
Since excellent Python skills are a must, brush up on your coding before the interview. Be prepared to solve coding problems or discuss your approach to software engineering fundamentals, as this will demonstrate your technical prowess.
✨Familiarise Yourself with MLOps Practices
Understand the principles of MLOps, CI/CD pipelines, and model lifecycle management. Be ready to explain how you've implemented these practices in previous roles and how they can benefit the organisation's ML capabilities.
✨Highlight Your Mentoring Experience
If you've mentored or led engineers before, make sure to highlight this experience. Discuss your approach to guiding teams, establishing engineering standards, and fostering best practices, as this will show your leadership potential.
