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, and opportunities for professional growth.
- Other info: Work in a tight-knit team with excellent career advancement potential.
- Why this job: Be at the forefront of AI technology and make a real impact.
- 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. 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 in London employer: Oliver Bernard
Join a dynamic AI scale-up that is redefining industry standards, where your expertise as a Senior ML Platform Engineer will be valued and impactful. Enjoy a collaborative work culture that fosters innovation and autonomy, with ample opportunities for professional growth and leadership development. With a focus on cutting-edge technologies and a commitment to best practices, this remote role offers competitive compensation and the chance to be part of a transformative journey in the tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior ML Platform Engineer - Lead & MLOps in London
✨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 sharing your expertise. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to MLOps and cloud infrastructure. This is your chance to demonstrate your hands-on expertise and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your leadership and technical skills. Be ready to discuss how you've tackled challenges in past roles and how you can bring that proactive 'builder' attitude to their team.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can give you an edge. Plus, it’s super easy to keep track of your applications with us!
We think you need these skills to ace Remote Senior ML Platform Engineer - Lead & MLOps in London
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 driven best practices in your previous roles. Don’t be shy about showcasing your 'builder' attitude!
Be Specific About Your Expertise:When detailing your hands-on experience, focus on the ML tools and technologies you've worked with. We’re particularly interested in your familiarity with Kubernetes, Terraform, and MLOps practices, so make those stand out!
Tailor Your Application:Take a moment to customise your application for this role. We love seeing candidates who take the time to align their skills and experiences with what we’re looking for. It shows us you’re genuinely interested in joining our team!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
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. Brush up on your experience with AWS, Kubernetes, Terraform, and CI/CD practices. Being able to discuss your hands-on expertise confidently will show that you’re not just a leader but also someone who can dive into the technical details.
✨Showcase Your Leadership Style
Prepare examples of how you've led teams in the past, especially in a start-up or scale-up environment. Think about times when you’ve coached junior engineers or tackled complex problems. This will demonstrate your ability to lead autonomously while fostering a collaborative team culture.
✨Prepare for Problem-Solving Scenarios
Expect to be asked about specific challenges you've faced in previous roles. Prepare a few scenarios where you successfully identified a problem, broke it down, and implemented a solution. This will highlight your proactive 'builder' attitude and problem-solving skills, which are crucial for this role.
✨Understand the Company’s Vision
Research the AI scale-up client and understand their mission and how they’re changing their industry. Be ready to discuss how your skills and experiences align with their goals. This shows that you’re genuinely interested in the company and can contribute to their vision.
