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: Remote work, competitive salary of £120-160K, and growth opportunities.
- Other info: Perfect for those seeking autonomy and innovation in a fast-paced environment.
- Why this job: Make a real impact by shaping ML practices and leading a talented team.
- 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 in London employer: Oliver Bernard
Join a dynamic AI scale-up that is redefining industry standards as a Senior / Lead ML Platform Engineer. With a strong emphasis on innovation and collaboration, you'll thrive in a supportive work culture that encourages autonomy and proactive problem-solving. Enjoy competitive compensation, opportunities for professional growth, and the chance to make a significant impact in a rapidly evolving field, all from the comfort of your home in the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Senior / Lead ML Platform Engineer in London
✨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 lead and drive projects. Practice articulating your thought process clearly, as this is key for a leadership role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior / Lead ML Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your leadership experience and hands-on expertise in ML practices, as this is what we’re looking for!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re the perfect fit for our team. Share specific examples of how you've tackled challenges in previous roles and how you can bring that proactive 'builder' attitude to our ML Platform function.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies! We want to see your experience with Kubernetes, Terraform, and MLOps practices. Be clear about your hands-on expertise and how it aligns with our needs.
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 don’t miss out on any important updates during the process!
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 MLOps in detail. The more specific examples you can provide, the better!
✨Show Your Leadership Skills
Since this role requires a strong leader, think of instances where you've led projects or coached junior team members. Prepare to share how you broke down complex problems into manageable tasks and drove your team towards success.
✨Be Proactive and Problem-Solving
Demonstrate your proactive 'builder' attitude by discussing challenges you've faced and how you tackled them. Companies love candidates who can think on their feet and come up with innovative solutions to problems.
✨Understand the Company Culture
Research the company’s mission and values. Since they’re a tight-knit team looking to change their industry, be prepared to explain how your personal values align with theirs and how you can contribute to their culture.
