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- Tasks: Develop advanced NLP and AI products that users will love.
- Company: Leading regulatory intelligence company based in Central London.
- Benefits: Competitive salary, flexible office days, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on cutting-edge ML and NLP technologies.
- Qualifications: Proficiency in Python, experience with ML platforms, and strong coding skills.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
The predicted salary is between 78000 - 102000 £ per year.
My client, a leading regulatory intelligence company, is currently looking to bring on an ML Engineer on a permanent basis. They are based in Central London and you will be required in their London office 5 days per month.
As ML Engineer, your mission is to:
- Develop advanced NLP and AI-based products that will delight users.
- Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development.
- Conduct the development and productionisation of ML and NLP-based features for the client's products - a SaaS Platform and an API.
- Develop optimal ML & NLP solutions for use cases, from baseline to SOTA approaches, wherever appropriate.
- Produce high quality, modular code, and deploy following established DevOps CI/CD and best practices.
- Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing).
- Stay up-to-date with ML & NLP research, and experiment with new models and techniques.
- Engage with them to raise standards of Software engineering.
- Propose cloud architectures for ML-based products that need new infrastructure.
- Participate in the monitoring and continuous improvement of existing ML systems.
Experience analysing large volumes of textual data (almost all of our use cases will involve NLP).
Ability to write clear, robust, and testable code, especially in Python.
Familiarity with SQL and NoSQL/graph databases.
Extensive experience with ML & DL platforms, frameworks, and libraries.
Extensive experience with end-to-end model design and deployment within cloud environments.
Solid understanding of data structures, data modelling, and software architecture, especially cloud-based.
Senior Machine Learning Engineer (M/F/D) in City of London employer: Norton Blake
Contact Detail:
Norton Blake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer (M/F/D) in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. 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 best projects, especially those related to NLP and ML. Make sure to include links to your GitHub and any contributions to platforms like Stack Overflow or Kaggle.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and coding skills. Practice common ML and NLP interview questions, and be ready to discuss your past projects in detail. We want to see your thought process!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in the role and the company. Don’t forget to tailor your application to highlight your relevant experience!
We think you need these skills to ace Senior Machine Learning Engineer (M/F/D) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Engineer role. Highlight your experience with NLP, cloud-based ML engineering, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!
Showcase Your Projects: Include links to your GitHub profile or online portfolio where we can see your work. Demonstrating your proficiency through real examples is key, so don’t hold back on sharing those cool projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about machine learning and how your experience aligns with our mission. Be genuine and let your personality shine through – we love seeing enthusiasm for the field!
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 to join our team at StudySmarter!
How to prepare for a job interview at Norton Blake
✨Know Your Stuff
Make sure you brush up on your machine learning and NLP knowledge. Be ready to discuss the latest models and techniques you've experimented with. They’ll want to see that you’re not just familiar with the basics but can also dive deep into advanced concepts.
✨Showcase Your Work
Bring along your GitHub profile or any online portfolio showcasing your projects. Highlight specific contributions, especially those related to ML and NLP. This is your chance to demonstrate your coding skills and problem-solving abilities in a practical way.
✨Understand Their Needs
Research the company and their products thoroughly. Understand their focus on regulatory intelligence and how your skills can contribute to developing their SaaS platform and API. Tailor your answers to show how you can help improve their ML systems and cloud architectures.
✨Ask Smart Questions
Prepare insightful questions about their current ML projects and challenges. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you. Plus, it’s a great way to engage with the interviewers and leave a lasting impression.