At a Glance
- Tasks: Advance AI products for global shipping through innovative machine learning engineering.
- Company: Solvo.ai, a leader in AI-driven container shipping solutions.
- Benefits: Competitive pay, equity options, hybrid work, and growth opportunities.
- Other info: Join a diverse team committed to innovation and professional development.
- Why this job: Make a real impact in a trillion-dollar industry with cutting-edge technology.
- Qualifications: Experience in machine learning research and production, strong analytical skills.
The predicted salary is between 70000 - 90000 £ per year.
Solvo. ai is redefining global container shipping with AI.
We build machine learning systems that power intelligent, sustainable, and profitable decision‑making for one of the world’s most complex industries.
Our models help container shipping companies price in volatile markets—unlocking measurable impact on every vessel, every route, every day.
Our team brings decades of experience across logistics, artificial intelligence, and scaling startups.
We focus on developing solutions that are not only innovative but proven in production—transforming the economics of global trade.
We’re proud of what we achieve and how we work: with professionalism, integrity, and transparency.
We are looking for someone to join the team in the next 3 months.
The Role
We’re looking for a skilled and motivated
Senior Machine Learning E ngineer to join our team and help advance the next generation of Solvo’s AI products.
This is a hands‑on role at the intersection of research and production, where your work will contribute directly to how container vessels around the world are priced.
You’ll collaborate closely with scientists, engineers, and industry experts—designing, building, and deploying models that deliver real value for customers.
From data exploration and algorithm development to scalable system design, you’ll play a key role across the full ML lifecycle and see your work in action at global scale.
If you want to apply cutting‑edge machine learning to a trillion‑dollar industry and you’re excited by solving meaningful, complex problems, we’d love to hear from you.
- What You’ll Do
- Advance Solvo’s decision‑making and pricing models through innovative ML engineering and research.
- Advance Solvo’s digital model of global shipping lanes so that it captures as much real world complexity as possible.
- Design, implement, and deploy production‑grade ML systems with scalability and robustness in mind.
- Translate state‑of‑the‑art research (probabilistic modelling, optimisation, deep learning) into customer‑ready solutions.
- Work collaboratively within a cross‑functional team to deliver measurable impact to global shipping customers.
- Communicate complex ideas clearly to both technical and non‑technical audiences.
- Continue developing your own skills and contribute to a supportive culture of learning and innovation.
- What We’re Looking For
- Substantial experience in machine learning research or applied ML.
- Experience bringing ML models from prototype to production.
- Strong analytical and problem‑solving abilities, and confidence working across disciplines.
- Advanced degree (MSc/Ph D) in Computer Science, Statistics, Applied Mathematics, or a related field — or equivalent practical experience.
- Clear communication skills and a collaborative mindset.
- Bonus Points
- Ph D in a relevant field.
- Prior work in pricing, forecasting, or decision optimisation.
- Experience with optimisation methods (e. g., linear programming).
- Familiarity with probabilistic modelling.
- Experience using AI coding agents to streamline your development work.
- Experience with large‑scale data systems or distributed training.
- Familiarity with cloud computing platforms (AWS, GCP, Azure).
- Why Join Us
- Competitive compensation and equity package.
- Hybrid work setup in London.
- A collaborative, supportive environment where you’ll be challenged and encouraged every day.
- Career growth opportunities at the intersection of AI and global trade.
- Commitment to Diversity
Solvo. ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and supported.
At this stage we can only accommodate candidates who already have the right to work in the UK.
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StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer
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We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Solvo.ai, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Solvo.ai. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Solvo.ai
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Solvo.ai!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.