At a Glance
- Tasks: Lead and innovate in ML Platform engineering, tackling complex challenges.
- Company: Join a dynamic AI scale-up transforming their industry.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Perfect for those seeking autonomy and innovation in a fast-paced environment.
- Why this job: Make a real impact in AI while leading a talented team.
- Qualifications: Experience in ML platforms, leadership skills, and a proactive mindset.
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, and be 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.
Remote Senior ML Platform Engineer - Lead & MLOps employer: Oliver Bernard
Join a dynamic AI scale-up that fosters innovation and collaboration, where your expertise as a Senior ML Platform Engineer will be valued and impactful. With a strong emphasis on employee growth, you will have the opportunity to lead projects, mentor junior engineers, and shape the future of machine learning practices in a supportive and forward-thinking environment. Enjoy the flexibility of remote work while being part of a tight-knit team dedicated to transforming the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior ML Platform Engineer - Lead & MLOps
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space. Attend virtual meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving MLOps and cloud infrastructure. We love seeing real-world applications of your expertise, so make sure to highlight your hands-on experience with tools like Kubernetes and Terraform.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Expect to tackle some technical challenges during the interview process. We recommend practicing common ML scenarios and thinking through how you’d lead a team in solving them.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are ready to take on leadership roles in innovative environments.
We think you need these skills to ace Remote Senior ML Platform Engineer - Lead & MLOps
Some tips for your application 🫡
Show Your Leadership Skills:Make sure to highlight your experience in leading teams and projects. We want to see how you've tackled challenges and guided junior members, so share specific examples that showcase your leadership style.
Be a Problem Solver:We love candidates who can break down complex problems into manageable tasks. In your application, demonstrate your problem-solving skills by discussing past experiences where you’ve successfully navigated technical challenges.
Highlight Your Hands-On Experience:Don’t just list your skills; show us how you’ve applied them! Talk about your hands-on experience with ML tools, MLOps practices, and cloud environments. We’re keen to know how you’ve driven these initiatives in previous roles.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific ML tools and technologies mentioned in the job description, like Kubernetes, Terraform, and AWS. Brush up on your hands-on experience with these platforms, as you’ll likely be asked to discuss how you've used them in past projects.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership experience, especially in guiding junior engineers and driving best practices. Think of specific situations where you’ve successfully led a project or team, and be ready to discuss your approach to problem-solving and coaching.
✨Demonstrate Your Problem-Solving Mindset
Be ready to tackle hypothetical scenarios or real challenges you’ve faced in previous roles. The interviewers will want to see how you break down complex problems into manageable tasks and how you proactively address issues in a fast-paced environment.
✨Align with Their Vision
Research the company’s mission and values, and think about how your own goals align with theirs. Be prepared to discuss how you can contribute to their expansion plans and the innovative changes they’re making in the industry.
