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 excellent 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 systems experience, Python skills, and cloud platform knowledge.
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 employer: IC Resources
Join a dynamic and innovative team in Austin, Texas, where as a Lead Machine Learning Engineer, you will not only drive the evolution of machine learning engineering but also enjoy a collaborative work culture that prioritises mentorship and professional growth. With access to cutting-edge technology and a commitment to best practices in MLOps, this role offers a unique opportunity to make a significant impact while working alongside talented data scientists and engineers in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead ML Engineer
✨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 gives 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 in cloud environments.
✨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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with production ML systems and MLOps. We want to see how your skills align with the role, so don’t be shy about showcasing your Python prowess and cloud platform experience!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Leadership Skills:Since this role involves mentoring, make sure to mention any previous leadership experiences. We’re looking for someone who can guide others, so share examples of how you've helped teams grow and establish best practices.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at IC Resources
✨Know Your ML Systems Inside Out
Make sure you’re well-versed in the machine learning systems you've built or worked on. Be ready to discuss specific projects, the challenges you faced, and how you overcame them. This will show your technical depth and hands-on experience.
✨Showcase Your Leadership Skills
Since this role involves mentoring a team, prepare examples of how you've guided others in the past. Talk about your approach to establishing engineering standards and best practices, and how you’ve helped teams scale their capabilities.
✨Familiarise Yourself with MLOps Practices
Brush up on MLOps, CI/CD pipelines, and model lifecycle management. Be ready to discuss how you’ve implemented these in previous roles, as well as any tools or platforms you’ve used, like AWS, GCP, or Azure.
✨Prepare for Technical Questions
Expect technical questions that test your Python and software engineering fundamentals. Practise coding problems and be prepared to explain your thought process. This will demonstrate your problem-solving skills and technical expertise.
