At a Glance
- Tasks: Transform ideas into working machine learning prototypes quickly and efficiently.
- Company: A leading consultancy known for innovation and collaboration.
- Benefits: Flexible remote work, competitive pay, and a dynamic team environment.
- Other info: Opportunity to work with cutting-edge technologies and grow your skills in a supportive environment.
- Why this job: Make a real impact by turning concepts into practical solutions in a fast-paced setting.
- Qualifications: Proficiency in Python, data engineering, and hands-on prototyping experience.
The predicted salary is between 50000 - 70000 € per year.
My client, a large consultancy, is in need of a Machine Learning Prototyping Engineer for a 6 month contract based in London offering 3 days per week remote working but requiring 2 days per week on-site.
The ideal candidate will have:
- Strong ability to translate ideas into working solutions quickly
- Hands-on skills across:
- Python (data processing, ML, prototyping)
- Data engineering (APIs, data pipelines, SQL, cloud data)
- Lightweight app development (APIs, simple frontends, notebooks, dashboards)
- Solid (not necessarily extensive) knowledge on the statistical/mathematical fundamentals that support and proposed ML methodologies
- Experience building end-to-end prototypes, not just models
- Comfortable working in ambiguous, fast-moving environments
- Strong problem-solving and independent thinking
Nice to have:
- Experience integrating LLMs or AI services into applications
- Familiarity with modern data platforms (eg Snowflake)
- Experience with visualisation tools (eg Tableau, Plotly)
- Working knowledge of marketing and advertising
What success looks like:
- You can go from idea - working PoC in 2-3 days
- You can go from working PoC to useful prototype in 2-3 weeks
- You unblock decisions by demonstrating feasibility quickly
- You focus on practical outcomes, not perfect code
Machine Learning Prototyping Engineer in London employer: iBSC
Join a leading consultancy in London that champions innovation and creativity, offering a dynamic work culture where your ideas can flourish. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to work on cutting-edge projects in machine learning. Enjoy the flexibility of remote working while collaborating with talented professionals in a supportive environment that values practical outcomes and rapid prototyping.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Prototyping Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning prototypes and projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and problem-solving scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Machine Learning Prototyping Engineer in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with Python, data engineering, and lightweight app development. We want to see how you've turned ideas into working solutions, so don’t hold back on those examples!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your relevant experience and how it aligns with the role.
Demonstrate Problem-Solving:We love candidates who can think independently and tackle challenges head-on. Share specific instances where you’ve solved problems or made quick decisions in fast-paced environments.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.
How to prepare for a job interview at iBSC
✨Know Your Tech Stack
Make sure you’re well-versed in Python, data engineering, and lightweight app development. Brush up on your knowledge of APIs, SQL, and cloud data platforms. Being able to discuss your hands-on experience with these technologies will show that you can hit the ground running.
✨Showcase Your Prototyping Skills
Prepare to talk about specific projects where you've built end-to-end prototypes. Highlight how quickly you can turn ideas into working solutions, as this role demands rapid prototyping. Bring examples that demonstrate your ability to create a proof of concept in just a few days.
✨Embrace Ambiguity
This position requires comfort in fast-moving environments. Be ready to discuss how you've navigated uncertainty in past roles. Share instances where you’ve made decisions or solved problems without all the information at hand, showcasing your independent thinking.
✨Focus on Practical Outcomes
During the interview, emphasise your approach to prioritising practical results over perfect code. Discuss how you balance speed and quality in your work, and be prepared to explain how you measure success in your projects.
