At a Glance
- Tasks: Lead and innovate in ML Platform engineering, tackling complex challenges.
- Company: Dynamic AI scale-up transforming their industry with cutting-edge technology.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Remote role for UK-based engineers with excellent career advancement potential.
- Why this job: Join a tight-knit team and make a real impact in the AI space.
- Qualifications: Experience in ML platforms, leadership skills, and a proactive problem-solving attitude.
The predicted salary is between 120000 - 160000 £ per year.
Oliver Bernard are currently working with an AI scale up client who are looking for a seasoned Senior / Lead ML Platform Engineer to join their team as part of broad expansion plans across the business. A tight knit team who are changing the way things are done in their industry, they're looking for someone to step into their ML Platform function to lead, drive, and be autonomous in their ways of working - proactively tackling sophisticated challenges whilst transforming and scaling their efforts across Cloud Infrastructure, Containerisation and more!
To be suitable for this position, you must be capable across all of the following:
- Seniority / Leadership: Must have a strong pro-active 'builder' attitude, be capable of breaking down business problems into a technical roadmap, comfortable writing architectural design and then leading projects through to delivery. Have prior experience working with squads of engineers, leading more Junior team members, and coaching them on best practices. Must be a strong problem solver, always looking to tackle challenges and actively fix problems day to day.
- Hands-On Expertise: Capable of introducing, driving, and building ML practices, and shaping how these are adhered to across Platform, Infra and Software Development teams. Prior experience driving MLOps practices in Cloud driven environments (AWS). Strong hands-on experience across ML tools, as well as LLMs and emerging AI & Data technologies. Expertise in Platform teams utilising Kubernetes, Terraform, CI/CD, Linux and Monitoring tools.
- Must-Haves: Prior experience in an ML Platform role - specifically within R&D driven businesses, teams or environments. Prior experience in start-up / scale-up environments. Comfortable autonomous leader, capable of driving best practices.
This is a remote position for UK based engineers and can offer £120-160K for suitable profiles ticking all the boxes.
Senior / Lead ML Platform Engineer employer: Oliver Bernard
Join a dynamic AI scale-up that fosters a collaborative and innovative work culture, where your expertise as a Senior / Lead ML Platform Engineer will be valued and impactful. With a focus on employee growth and autonomy, you'll have the opportunity to lead projects, mentor junior team members, and tackle complex challenges in a supportive environment. Enjoy the flexibility of remote work while being part of a team that is at the forefront of transforming the industry through cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior / Lead ML Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ML practices and cloud infrastructure. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios that demonstrate your ability to break down complex problems and lead projects. Practice articulating your thought process clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications and updates!
We think you need these skills to ace Senior / Lead ML Platform Engineer
Some tips for your application 🫡
Show Your Passion for ML:When writing your application, let your enthusiasm for machine learning shine through! We want to see how you've tackled challenges in the past and how you plan to drive innovation in our ML Platform. Make it personal and relatable!
Tailor Your CV:Don’t just send a generic CV! We’re looking for specific experiences that align with the role. Highlight your hands-on expertise with tools like Kubernetes and Terraform, and don’t forget to mention any leadership roles you've had in previous projects.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for our team. Share your vision for the ML Platform and how you can contribute to our growth. Keep it concise but impactful – we love a good story!
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. Plus, it shows you’re proactive – a quality we value highly!
How to prepare for a job interview at Oliver Bernard
✨Know Your Stuff
Make sure you brush up on your ML tools and practices before the interview. Be ready to discuss your hands-on experience with Kubernetes, Terraform, and CI/CD pipelines. The more specific examples you can provide about your past projects, the better!
✨Show Your Leadership Skills
Since this role involves leading a team, be prepared to share your experiences in mentoring junior engineers. Talk about how you've broken down complex problems into manageable tasks and how you’ve driven projects from concept to delivery.
✨Be Proactive and Problem-Solving
Demonstrate your proactive approach by discussing how you've tackled challenges in previous roles. Share specific instances where you identified a problem and took the initiative to fix it, especially in cloud-driven environments.
✨Cultural Fit Matters
This company values a tight-knit team atmosphere, so show them you're a good fit! Discuss your experiences in start-up or scale-up environments and how you thrive in collaborative settings. Highlight your builder attitude and willingness to adapt.
