At a Glance
- Tasks: Design and deploy ML models that drive real revenue in container logistics.
- Company: Join Solvo.ai, a cutting-edge tech firm transforming container shipping.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with a global team and engage directly with customers.
- Why this job: Make a tangible impact on pricing decisions in a $14 trillion industry.
- Qualifications: 4+ years of experience in ML systems and strong Python skills required.
The predicted salary is between 56700 - 69300 £ per year.
You will own models that sit at the centre of a carrier's commercial workflow — recommending prices, quantifying confidence and learning from every accept-or-override.
This is applied work: the measure of success is revenue moved and recommendations accepted, not papers published.
You'll work end-to-end, from joining rate, capacity, booking and contract data into a single weighted view, through to the calibration and guardrails that make a recommendation defensible enough to send to a customer.
What you'll do
- Design, train and ship forecasting and recommendation models against real carrier rate, capacity and booking data.
- Build the confidence and explainability layer so every recommendation carries its rationale and a confidence band.
- Turn the override loop into training signal — every accept, adjust or reject makes the system sharper.
- Partner with deployment engineers to calibrate models against the rules trade managers actually use.
- Own model quality in production: monitoring, drift detection, retraining and the guardrails that keep outputs safe.
What we're looking for
- 4+ years building and shipping ML systems that ran in production, not just notebooks.
- Strong Python and the modern ML stack; comfortable owning a model from data to deployment.
- A bias for measurable business impact over model elegance.
- Clear written and verbal communication — you can explain a recommendation to a commercial team.
- Nice to have
- Experience with time-series forecasting, pricing or demand models.
- Exposure to logistics, shipping, travel or other yield-managed industries.
- Comfort working directly with customers during a deployment.
- About Solvo
Solvo. ai builds the decision layer for revenue management in container logistics.
Container shipping moves $14 trillion of goods a year, yet the pricing decisions that move it still run on spreadsheets, gut feel and lag.
We sell repeatable commercial outcomes — measured in revenue per TEU, not dashboards opened.
We're a global, technical team spread across Cambridge, London and Singapore, backed by Sequoia, Speedinvest and Frontline, and already live with top-tier carriers.
You'll work directly with the people who've sat in the trade room and the engineers building the system that learns from them.
#J-18808-Ljbffr
Applied ML Engineer Engineering London employer: Solvo.ai Ltd
At Solvo.ai, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London team is at the forefront of revolutionising container logistics, providing employees with unique opportunities for growth and direct impact on revenue management solutions. With a focus on measurable business outcomes and a supportive environment, we empower our engineers to thrive while working on cutting-edge machine learning projects that truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Applied ML Engineer Engineering London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Solvo.ai Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Applied ML Engineer Engineering London at Solvo.ai Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Solvo.ai Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Applied ML Engineer Engineering London at Solvo.ai Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Applied ML Engineer Engineering London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Solvo.ai Ltd, 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 Ltd. 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 Ltd
✨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!
✨Showcase Your Projects
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 Ltd!
✨Prepare for Case Studies
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.
