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 Slough 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 Slough
✨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! If you've got a portfolio of projects or contributions to open-source ML frameworks, make sure to highlight them. Real-world examples of your work can set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML frameworks. Practice coding challenges and be ready to discuss your approach to building and deploying ML systems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Machine Learning Engineer in Slough
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 showcase 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 in detail, focusing on how you built and deployed ML systems.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some real-world problems during the interview. Think about how you would approach challenges related to time-series data or predictive modelling. This will show them you can think critically and apply your skills effectively.
✨Familiarise Yourself with the Ocean Economy
Since Samudra Oceans is focused on the ocean economy, do a bit of research on maritime data and offshore energy. Understanding the industry will help you connect your technical skills to their mission and demonstrate your genuine interest.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's technology and future direction. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals. Plus, it makes for a more engaging conversation!
