At a Glance
- Tasks: Build and deploy machine learning models for real-world AI systems.
- Company: Join an innovative early-stage company in the offshore energy sector.
- Benefits: Competitive salary, equity options, and hands-on mentorship from industry experts.
- Other info: Great opportunity for junior and mid-level engineers to grow their careers.
- Why this job: Shape the future of AI in maritime industries while working closely with the CEO.
- Qualifications: Experience in Python, ML frameworks, and cloud platforms is essential.
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 & geospatial data
- Develop real-world AI systems
- Influence product and technical direction from day one
Looking for experience with:
- Python
- PyTorch / TensorFlow / Scikit-learn
- Production ML systems
- AWS / GCP / Azure
Bonus points for MLOps, signal processing, maritime or offshore energy experience.
If interested, please apply or message directly.
Science Specialists (Temporary) employer: MNRecruit
Samudra Oceans offers a unique opportunity for Science Specialists to join an innovative team at the forefront of AI technology in the offshore energy and maritime sectors. With a strong emphasis on mentorship from experienced leaders, a collaborative work culture, and the chance to influence the company's technical direction from the outset, employees can expect significant growth opportunities and a rewarding experience in a dynamic environment located in the vibrant area of Hoxton, London.
StudySmarter Expert Advice🤫
We think this is how you could land Science Specialists (Temporary)
✨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 that interview.
✨Tip Number 2
Show off your skills! If you've built any cool ML models or worked with time-series data, make sure to have them ready to discuss. Real-world examples can really impress during interviews.
✨Tip Number 3
Be proactive! Don’t just wait for job postings. Reach out directly to the company through our website. Express your interest and let them know how you can contribute to their mission.
✨Tip Number 4
Prepare for technical questions! Brush up on Python, PyTorch, and AWS. Practising common ML scenarios can help you feel more confident and ready to tackle any challenge they throw your way.
We think you need these skills to ace Science Specialists (Temporary)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, ML models, and any relevant cloud platforms like AWS or GCP. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about working with AI in the offshore energy sector. Share specific examples of your past projects that relate to the role – we love a good story!
Show Off Your Projects:If you've worked on any cool ML projects, especially those involving time-series or geospatial data, make sure to mention them. We’re keen to see your hands-on experience and how you’ve tackled real-world problems.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Don’t miss out!
How to prepare for a job interview at MNRecruit
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the ML frameworks mentioned, like PyTorch and TensorFlow. Brush up on your knowledge of production ML systems and cloud platforms like AWS or GCP, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on, especially those involving time-series or geospatial data. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Company’s Vision
Research Samudra Oceans and their mission in the offshore energy and maritime industries. Showing that you understand their goals and how your skills can contribute will set you apart from other candidates. It also shows genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions for the interviewers about the company’s AI systems and future projects. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career aspirations. Plus, it opens up a dialogue that can make the interview feel more like a conversation.
