At a Glance
- Tasks: Drive AI-powered decision-making systems and build a dynamic software engineering team.
- Company: Join Solvo.ai, a leader in AI-driven global container shipping solutions.
- Benefits: Enjoy competitive pay, equity options, and a hybrid work setup in London.
- Other info: Be part of a diverse, inclusive team with excellent career growth opportunities.
- Why this job: Make a real impact in the exciting intersection of AI and global trade.
- Qualifications: Proven software engineering experience with strong coding and collaboration skills.
The predicted salary is between 60000 - 80000 £ 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.
- What you’ll do
- Drive development of a decision making system powered by reinforcement learning
- Build and grow the software engineering team and function at Solvo. ai, delivering Saa S products to our customers.
- Collaborate closely with product and commercial teams to ensure ongoing product-market fit in an agile environment.
- Communicate effectively with customers to seamlessly integrate our products into their systems and processes.
- Design and implement customer-facing RESTful APIs and guide the development of data integration.
- Take ownership of defining, scoping, and prioritising technical features.
- Develop an external ecosystem integration approach with third‑party products, as needed.
- Conduct code reviews and participate in collaborative problem‑solving sessions to ensure highest code quality and adherence to established engineering practices.
- Stay up‑to‑date with the latest trends and advancements in AI/ML knowledge and related technologies, evaluating their potential applications to enhance our products and services.
- Lead the integration of security standards into the software development lifecycle.
- What We’re Looking For
- Proven experience in professional software engineering, with strong knowledge of coding standards, code reviews, source control, build processes, and testing.
- Proficiency in Python, Git, etc., with a solid foundation in software engineering principles.
- Experience in developing Rest Ful APIs at scale.
- Strong background in building scalable, reliable architectures.
- Experience in cloud computing environments such as GCP, Vertex AI, etc.
- Proven track record of designing, developing, and delivering complex software solutions, preferably in the Saa S industry.
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- Familiarity with agile development methodologies and tools for version control, continuous integration, and deployment.
- Excellent problem‑solving skills and the ability to work in a fast‑paced startup environment.
- Strong communication and collaboration skills, with the ability to effectively present complex technical concepts to both technical and non‑technical stakeholders.
- Bonus Points
- Mentoring and guiding junior engineers, fostering a culture of continuous learning, knowledge sharing, and technical excellence.
- Experience in building data ETL pipelines and systems
- Experience in building large distributed systems
- Advanced degree (Master's or Ph. D.) in AI, Machine Learning, or a related field.
- Previous leadership experience or demonstrated ability to lead a team of engineers.
- In‑depth knowledge of information security standards and frameworks, especially ISO-27001.
- 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 Software Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Solvo.ai or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Solvo.ai.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Solvo.ai.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Solvo.ai that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Software Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Solvo.ai.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Solvo.ai and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Solvo.ai
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Solvo.ai uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.