At a Glance
- Tasks: Design and prototype data science solutions using Python and NLP techniques.
- Company: Join a fast-moving insights & analytics startup making waves in consumer AI.
- Benefits: Enjoy hybrid work options and collaborate with top-tier clients.
- Other info: Stay ahead of AI trends and bring innovative ideas to life.
- Why this job: Work on exciting AI/NLP projects and make a real-world impact.
- Qualifications: Experience with Python and a passion for machine learning is essential.
The predicted salary is between 36000 - 60000 € per year.
A fast-moving insights & analytics startup is searching for an ML Engineer to help build cutting-edge data science solutions powered by digital consumer signals. The team works with massive volumes of digital data, turning it into clear, actionable insights using NLP, LLMs, and advanced marketing data science, helping brands make smarter, faster decisions.
This team blends deep technical expertise with startup agility, and they’re looking for someone who’s excited to experiment, build from scratch, and turn noisy digital data into real-world impact.
Location: London (Hybrid: 2-3 days/week in-office)
Why join?
- Work on greenfield AI/NLP projects using the latest open-source tools & APIs
- Collaborate across data science, engineering, strategy, and insights
- Make an impact in a startup growing fast with big-name clients
What you’ll do:
- Design and prototype data science solutions using Python and NLP techniques
- Build models from scratch to extract insights from digital sources (social, reviews, search, etc.)
- Stay on top of AI trends and bring fresh ideas into production
- Translate complex problems into actionable ML solutions
- Work on both short POCs and longer-term innovation projects
Interested? Apply now!
Machine Learning Engineer in City of London employer: Understanding Recruitment
Join a dynamic and innovative startup in London, where you'll have the opportunity to work on cutting-edge AI and NLP projects that make a real impact. With a collaborative work culture that encourages experimentation and creativity, you'll benefit from hybrid working arrangements and the chance to grow alongside industry leaders while tackling exciting challenges in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in City of London
✨Tip Number 1
Familiarise yourself with the latest trends in AI and NLP. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Build a portfolio showcasing your projects related to machine learning and NLP. Include any personal projects, contributions to open-source, or relevant coursework. Having tangible examples of your work can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the AI and data science community. Attend meetups, webinars, or conferences where you can connect with others in the field. These connections can lead to valuable insights and potential job referrals.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and ML problem-solving. Use platforms like LeetCode or HackerRank to sharpen your skills. Being well-prepared will boost your confidence and demonstrate your technical abilities effectively.
We think you need these skills to ace Machine Learning Engineer in City of London
Some tips for your application 🫡
Understand the Role:Before applying, make sure to thoroughly understand the responsibilities of a Machine Learning Engineer in this startup. Familiarise yourself with NLP, LLMs, and the types of data they work with. This will help you tailor your application to highlight relevant skills.
Tailor Your CV:Craft your CV to emphasise your experience with Python, data science solutions, and any projects involving NLP or machine learning. Use specific examples that demonstrate your ability to turn complex data into actionable insights, as this is crucial for the role.
Write a Compelling Cover Letter:In your cover letter, express your enthusiasm for working in a fast-paced startup environment. Highlight your passion for experimenting with new technologies and your ability to collaborate across teams. Make sure to connect your past experiences with the job requirements.
Showcase Relevant Projects:If you have worked on any relevant projects, whether in a professional setting or as personal endeavours, be sure to mention them. Include links to your GitHub or portfolio where applicable, showcasing your ability to build models and extract insights from data.
How to prepare for a job interview at Understanding Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and NLP techniques. Bring examples of projects you've worked on, especially those involving data science solutions or machine learning models, to demonstrate your technical expertise.
✨Understand the Company’s Focus
Research the startup's approach to consumer AI and their use of digital signals. Familiarise yourself with their products and clients, as this will help you tailor your answers and show genuine interest in their work.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your ability to translate complex problems into actionable ML solutions. Practice explaining your thought process clearly and concisely, as this will showcase your analytical skills.
✨Demonstrate Your Passion for Innovation
Since the role involves working on greenfield projects, express your excitement for experimenting and building from scratch. Share any personal projects or ideas you have that align with the company's mission to make an impact through AI.
