Machine Learning Engineer
New Yesterday
Job Description
Please note this Role is based in London, local candidates only!
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. Nothing we do is hypothetical. Everything we do has a measurable impact.
Our combined experience of over 100 years in logistics, artificial intelligence and scaling startups allows us to innovate boundlessly, constantly push the frontiers of what’s possible, and generate revolutionary tools to deliver business impact to our customers.
We stand proudly, not just for what we achieve, but for how we achieve it - creating trust through professionalism, integrity, and transparency.
The role:
We are looking for an exceptional Machine Learning Engineer (MLE) to join our team and accelerate 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 ensure our customers get maximum value out of our solutions.
The ideal candidate for this role will get stuck in across the organisation, moving naturally from intricate data analysis, through detailed ML considerations and onto the broader business context.
You will have the freedom to propose, research and implement innovative new ideas to improve our system.
If you want to apply cutting-edge machine learning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you.
Your responsibilities
- Innovate on Solvo’s modelling and decision making solution.
- Create value for customers through application of ML principles and best practice.
- Strive for high quality and robust outcomes.
- Continuously ensure we are using the most appropriate ML modelling techniques for customer projects and our product offerings.
- Design and develop production-grade software, ensuring scalability and performance.
- Collaborate closely with scientists and engineers in an agile team environment.
- Facilitate understanding of our AI solutions internally and externally.
- Continuously develop your own AI/ML and engineering skills.
Essential skills and experience
- Academic or industrial research experience in machine learning, especially probabilistic models and Bayesian statistics.
- Proficiency in designing and programming advanced ML algorithms.
- Ability to apply state-of-the-art research to real-world problems.
- Proficiency in operating and evolving advanced ML systems in a production environment.
- Strong communication skills with the ability to convey complex ideas to both technical and non-technical audiences.
- Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics).
- Experience working in an agile team environment.
Desired qualifications, skills and experience
- PhD degree in a relevant field.
- Good working knowledge of optimisation (linear programming).
- Strong experience with Python and standard ML libraries.
- Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
Equal employment opportunity
Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Benefits
- A competitive compensation package including equity
- Career growth opportunities on a personal and professional level
- Be part of a very talented, collaborative team that continuously strives for innovative solutions
- A friendly work environment where you are expected to challenge and be challenged every single day
- 25 days paid holiday
Job type: full-time; permanent contract; On-site (hybrid)Location
London, United Kingdom
- Location:
- London
- Job Type:
- FullTime
- Category:
- Manufacturing
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