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, 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.
Engineering Project Specialist in London employer: MNRecruit
Samudra Oceans offers a unique opportunity for Engineering Project 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 career path in a dynamic environment located in the vibrant area of Hoxton, London.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Project Specialist in London
✨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
Prepare for technical questions! Brush up on Python, PyTorch, and AWS. We all know that being well-prepared can set you apart from the competition, so don’t skip this step.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Engineering Project Specialist in London
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!
Showcase Your Projects:If you've built or deployed any ML models, make sure to mention them! Include links to your GitHub or any relevant portfolios. We’re keen to see your hands-on experience and creativity.
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 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, GCP, or Azure. Being able to discuss your past projects and how you’ve used these technologies will really impress them.
✨Show Your Passion for AI
This role is all about building real-world AI systems, so let your enthusiasm shine through! Talk about why you love working with machine learning and how you see it impacting industries like offshore energy and maritime. A genuine passion can set you apart from other candidates.
✨Prepare for Technical Questions
Expect some technical questions that dive deep into your understanding of time-series, sensor, and geospatial data. Practise explaining complex concepts in simple terms, as this shows you can communicate effectively with both technical and non-technical team members.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s vision for AI in the maritime industry or how they plan to scale their ML models. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
