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- Tasks: Design and build ML systems to automate logistics workflows and improve product quality.
- Company: Early-stage UK AI company focused on innovative solutions in logistics.
- Benefits: Competitive salary, flexible remote work, and a chance to shape the future of AI.
- Why this job: Join a small, dynamic team and make a real impact on customer experiences.
- Qualifications: Proficient in Python with a builder mindset; experience with Go is a plus.
- Other info: Opportunity for career growth and direct exposure to customers in a fast-paced environment.
The predicted salary is between 80000 - 90000 £ per year.
An early-stage UK AI company is building software that removes friction from complex logistics workflows by automating document processing and decision-making. Their product is already live with customers, and the focus now is on moving faster, shipping weekly, and compounding product quality through better ML systems.
They’re hiring an early Machine Learning Engineer to strengthen a small, high-accountability team as customer demand and product scope increase. You’ll join as one of the first ML engineers in a six-person team, working very close to the product and real customer problems. You’ll design and build evaluation datasets, run systematic experiments on prompts, models and architectures, and turn results into shipped improvements.
You’ll help harden and scale a containerised ML pipeline, and keep a close eye on new model releases to identify practical gains the team can ship quickly. You’ve written a lot of Python that runs in production and you’re comfortable owning it. Experience with Go, workflow orchestration tools like Temporal, or building structured evaluation datasets is useful but not essential.
More important is a builder mindset: you’ve shipped things end-to-end, you’re comfortable working independently, and you follow through on what you commit to. Base salary of £80–90k depending on experience. A genuinely small, senior team with a weekly shipping cadence and direct exposure to customers. UK-based today, with flexibility on remote working for the right person and openness to future New York expansion.
Machine Learning Engineer (hybrid or remote) in England employer: Wave Talent
Contact Detail:
Wave Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (hybrid or remote) in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. A personal introduction can make all the difference in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning. Share your GitHub or any relevant work during interviews to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding ML concepts. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Don’t forget to 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 our team.
We think you need these skills to ace Machine Learning Engineer (hybrid or remote) in England
Some tips for your application 🫡
Show Your Passion for ML: When writing your application, let us see your enthusiasm for machine learning! Share any personal projects or experiences that highlight your skills and passion for the field. We love seeing candidates who are genuinely excited about what they do.
Tailor Your CV: Make sure your CV is tailored to the role. Highlight relevant experience with Python and any projects where you've built or improved ML systems. We want to see how your background aligns with our needs, so don’t be shy about showcasing your achievements!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Make it easy for us to understand your experience and how you can contribute to our team.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Wave Talent
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals before the interview. Be ready to discuss algorithms, model evaluation, and your experience with Python in production. This will show that you have a solid foundation and can contribute to the team right away.
✨Showcase Your Builder Mindset
Prepare examples of projects where you've taken ownership from start to finish. Highlight how you’ve shipped products or features, especially in a fast-paced environment. This aligns perfectly with their need for someone who can work independently and follow through on commitments.
✨Familiarise Yourself with Their Product
Take some time to understand the company’s product and its impact on logistics workflows. Being able to discuss how you can improve their existing ML systems or suggest new ideas will demonstrate your genuine interest and proactive approach.
✨Ask Insightful Questions
Prepare thoughtful questions about their current challenges and future goals. This not only shows your enthusiasm but also helps you gauge if the role is the right fit for you. Questions about their shipping cadence or customer feedback processes can spark engaging conversations.
