At a Glance
- Tasks: Design and deploy machine learning models for real-time maritime data.
- Company: Join Samudra Oceans, a pioneer in ocean intelligence technology.
- Benefits: Competitive salary, equity options, and mentorship from AI experts.
- Other info: Exciting opportunity in a fast-paced, innovative environment.
- Why this job: Make a real-world impact by shaping the future of ocean technology.
- Qualifications: Strong ML experience with Python and cloud platforms.
The predicted salary is between 80000 - 95000 £ per year.
MNRecruit is delighted to partner with Samudra Oceans. Samudra Oceans is building the intelligence layer for the ocean economy — combining real-time maritime data, ocean sensing, and deep domain expertise across offshore energy and shipping.
Operating across offshore wind, oil & gas, and the wider maritime sector, the company is developing technology that enables smarter decisions across complex ocean environments. As one of the earliest engineering hires, this individual will play a key role in shaping the technical foundations of the business and building AI systems with real-world impact.
Reporting directly to the CEO, who brings 10+ years of AI experience, this role offers close mentorship and the opportunity to work alongside the founding team.
Key responsibilities:- Design, build and deploy machine learning models across maritime and ocean datasets
- Develop data pipelines and ML workflows for real-time sensing systems
- Work across time-series, sensor and predictive modelling challenges
- Build scalable ML infrastructure and support production deployment
- Own technical projects end-to-end and contribute to product direction
- Strong experience building and deploying ML systems
- Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn)
- Experience with large datasets and production environments
- Strong understanding of time-series and data processing workflows
- Cloud experience (AWS, Azure or GCP)
- Comfortable operating in an early-stage, fast-moving environment
- Sensor data or signal processing experience
- MLOps exposure
- Geospatial or maritime datasets
- Experience within offshore energy, shipping or ocean technologies
This is a high-ownership opportunity for someone excited by applying AI to real-world systems and helping shape the future of ocean intelligence.
Machine Learning Engineer in London employer: MNRecruit
Samudra Oceans is an exceptional employer for Machine Learning Engineers, offering a unique opportunity to work at the forefront of ocean intelligence in the vibrant area of Hoxton, London. With a strong focus on mentorship from experienced leaders and a collaborative work culture, employees are empowered to take ownership of their projects while contributing to meaningful advancements in maritime technology. The company not only provides competitive salaries and equity but also fosters professional growth through hands-on experience in a fast-paced, innovative environment.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Samudra Oceans. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to maritime data or real-time systems. This will help us see your practical experience and passion for the field.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML frameworks. We love seeing candidates who can talk through their thought process and problem-solving skills, so practice explaining your approach to building and deploying models.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you're genuinely interested in being part of the Samudra Oceans team.
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, ML frameworks, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and the ocean economy, and explain why you’re excited about this opportunity at Samudra Oceans. Let us know how you can contribute to our mission.
Showcase Relevant Projects:If you've worked on any machine learning projects, especially those involving maritime data or real-time systems, make sure to mention them. We love seeing practical applications of your skills, so don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at MNRecruit
✨Know Your ML Stuff
Make sure you brush up on your machine learning knowledge, especially around the frameworks mentioned like PyTorch and TensorFlow. Be ready to discuss your past projects and how you've built and deployed ML systems, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced with time-series data or large datasets. Think of examples where you had to design data pipelines or tackle predictive modelling issues, as this will demonstrate your ability to handle real-world problems.
✨Get Familiar with the Company’s Focus
Dive into Samudra Oceans' mission and the sectors they operate in. Understanding their work in offshore energy and shipping will help you align your answers with their goals and show that you're genuinely interested in contributing to their vision.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's technology stack, their approach to AI in ocean intelligence, and the team dynamics. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
