Machine Learning Engineer in London

Machine Learning Engineer in London

London Full-Time 36000 - 60000 £ / year (est.) On-site
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At a Glance

  • Tasks: Innovate and develop cutting-edge machine learning solutions for global container shipping.
  • Company: Join Solvo.ai, a leader in AI-driven logistics innovation.
  • Benefits: Competitive salary, equity, career growth, and 25 days paid holiday.
  • Other info: Collaborative team environment with opportunities to challenge and be challenged.
  • Why this job: Make a real impact in a trillion-dollar industry with your ML expertise.
  • Qualifications: Experience in machine learning, strong programming skills, and advanced degree preferred.

The predicted salary is between 36000 - 60000 £ per year.

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

Machine Learning Engineer in London employer: Solvo.ai

At Solvo.ai, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. Our commitment to employee growth is reflected in our competitive compensation packages and opportunities for professional development, making it an ideal place for those looking to make a meaningful impact in the global shipping industry through advanced AI solutions.

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Contact Details:

Solvo.ai Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Engineer in London

✨Tip Number 1

Network like a pro! Get out there and connect with folks in the industry. Attend meetups, conferences, or even online webinars related to machine learning. You never know who might have a lead on your dream job at Solvo.ai!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, make sure it highlights your best work. This will give you an edge when chatting with potential employers.

✨Tip Number 3

Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past experiences. Practice common ML interview questions and think about how your skills can directly benefit Solvo.ai's mission.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Solvo.ai team. Don’t miss out on this opportunity!

We think you need these skills to ace Machine Learning Engineer in London

Machine Learning
Probabilistic Models
Bayesian Statistics
Advanced ML Algorithms
Production-Grade Software Development
Scalability and Performance Optimisation
Agile Team Collaboration

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight relevant experience, especially in machine learning and data analysis, and don’t forget to showcase any projects that demonstrate your skills in real-world applications.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background aligns with Solvo.ai’s mission. Be genuine and let your personality come through – we want to see the real you!

Showcase Your Skills:Don’t just list your skills; provide examples of how you’ve applied them in past roles. Whether it’s designing advanced ML algorithms or collaborating in an agile team, concrete examples will make your application stand out.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Solvo.ai!

How to prepare for a job interview at Solvo.ai

✨Know Your ML Stuff

Make sure you brush up on your machine learning concepts, especially probabilistic models and Bayesian statistics. Be ready to discuss how you've applied these in real-world scenarios, as this will show your practical understanding of the field.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex problems using advanced ML algorithms. Think about specific projects where your work had a measurable impact, and be ready to explain your thought process and the outcomes.

✨Communicate Clearly

Since you'll need to convey complex ideas to both technical and non-technical audiences, practice explaining your past projects in simple terms. This will demonstrate your strong communication skills and ability to collaborate effectively within an agile team.

✨Familiarise Yourself with Their Tech Stack

Research Solvo.ai's use of cloud computing platforms like AWS or Google Cloud. If you have experience with these, be prepared to discuss how you've used them in previous roles, as this will show you're ready to hit the ground running.