At a Glance
- Tasks: Build and deploy machine learning models for innovative offshore energy solutions.
- Company: Join Samudra Oceans, a pioneering AI company in the maritime industry.
- Benefits: Competitive salary, equity options, and hands-on mentorship from industry experts.
- Other info: Exciting opportunity for growth in a dynamic startup environment.
- Why this job: Shape the future of AI in maritime while working closely with experienced leaders.
- Qualifications: Experience in machine learning and a passion for technology.
The predicted salary is between 80000 - 95000 £ per year.
MNRecruit is partnering with Samudra Oceans — an early-stage company building AI systems for offshore energy and maritime industries using real-time ocean and sensor data. This is a rare opportunity to join at an early stage, work directly with the CEO (10+ years in AI), and receive hands-on mentorship while helping shape the technical foundations of the business. Strong junior and mid-level engineers are encouraged to apply.
- Build and deploy ML models
- Work with time-series, sensor data
Machine Learning Specialist employer: MNRecruit
At Samudra Oceans, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. As a Machine Learning Specialist in the vibrant area of Hoxton, London, you will benefit from direct mentorship from industry leaders, competitive compensation, and equity options, all while contributing to groundbreaking AI solutions in the offshore energy sector. Join us to be part of a collaborative team where your ideas matter and your professional growth is a priority.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Specialist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to Samudra Oceans. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving time-series and sensor data. This will help us see your practical experience and creativity.
✨Tip Number 3
Prepare for the technical interview! Brush up on your ML concepts and be ready to discuss your past projects. We love seeing how you think and solve problems, so practice explaining your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in being part of our exciting journey at Samudra Oceans.
We think you need these skills to ace Machine Learning Specialist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in machine learning and any projects you've worked on that relate to AI systems. We want to see how your skills align with what we're doing at Samudra Oceans!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're excited about the role and how you can contribute to our mission. Be genuine and let your personality come through – we love to see passion!
Showcase Your Projects:If you've built or deployed any ML models, make sure to mention them! Include links to your GitHub or any other platforms where we can see your work. We’re keen to see your hands-on experience!
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 from us!
How to prepare for a job interview at MNRecruit
✨Know Your ML Models
Make sure you brush up on the machine learning models you've worked with. Be ready to discuss how you've built and deployed them, especially in relation to time-series data and sensor inputs. This will show your technical expertise and understanding of the role.
✨Understand the Company’s Mission
Research Samudra Oceans and their focus on AI systems for offshore energy. Understanding their goals and challenges will help you tailor your answers and demonstrate your genuine interest in contributing to their mission.
✨Prepare for Technical Questions
Expect some technical questions or even a coding challenge during the interview. Practise common algorithms and be prepared to explain your thought process. This will showcase your problem-solving skills and technical knowledge.
✨Show Enthusiasm for Mentorship
Since this role offers hands-on mentorship from experienced professionals, express your eagerness to learn and grow. Share examples of how mentorship has helped you in the past, and how you plan to leverage it in this new role.
