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For Companies At a Glance
- Tasks: Design and develop cutting-edge models to understand human behaviour using NLP.
- Company: Join a London-based defence-tech startup focused on AI for social good.
- Benefits: Enjoy remote work flexibility and the chance to impact operational planning.
- Why this job: Be part of a high-impact venture that combines technology with social responsibility.
- Qualifications: 4 years in data science, strong Python skills, and experience with AWS required.
- Other info: Collaborate with diverse teams and contribute to meaningful projects.
The predicted salary is between 48000 - 72000 £ per year.
We are a defence-tech startup from London that specializes in technologies that can analyze social data with the power of AI and psychology to generate insights and intelligence that were not possible before. The company was founded on the premise that data can be used for social good and with our technology, we are building the capability to predict potential threats to companies or analyze public perception on various policies or initiatives and much more. We are currently focusing on a variety of key projects within Defence as we see tremendous possibility to impact operational planning within the sector. As a company handling heavy and critical data, we believe this is a perfect time for a Machine Learning Engineer to join our team.
Who are we looking for?
We are looking for a Machine Learning Engineer to enhance our platform by designing and developing cutting-edge models to understand human behaviour.
Key Responsibilities
- Support research team to productionize scalable NLP models using state-of-the-art techniques and frameworks
- Stay up-to-date with the latest advancements in NLP and machine learning, and apply new methodologies to improve existing models
- Deploy data science models on scalable AWS cloud infrastructures, ensuring best practices for security and performance
- Assist in Infrastructure as Code initiatives using Terraform
- Write clean, maintainable Python code for data science software, ensuring high standards of code quality and maintainability
- Continuously monitor and improve the performance of data science models in production
- Work closely with cross-functional teams including behavioral scientists, data scientists, software engineers, and product managers to deliver end-to-end solutions
Relevant Experience & Mindset:
- 4 years of experience in developing data science models, including NLP models, and deploying them in a production environment
- Bachelor's degree in computer science, data science, mathematics, statistics, engineering or related field
- Proficiency in writing clean, robust, and scalable Python packages for backend functionality
- Experience with Python data science and NLP libraries
- Expertise in software development practices such as version control, code review, software design patterns, and CI/CD practices and tools
- Experience of cloud computing platforms such as AWS, with knowledge of services like ECS, S3, and Lambda
- Experience with containerisation technologies e.g. Docker
- Experience of working with SQL or NoSQL databases
- Team player who is proactive and resilient
- A passion for social good
If you're looking for a venture with high impact and rapid growth with remote flexibility, please apply.
Senior Machine Learning Engineer employer: Stealth Startup
Contact Detail:
Stealth Startup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in NLP and machine learning. Follow industry leaders on social media, read relevant research papers, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Showcase your experience with AWS and containerisation technologies like Docker. If you have personal projects or contributions to open-source that highlight these skills, be ready to discuss them. Practical examples can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the defence-tech sector. Attend meetups, webinars, or conferences related to AI and machine learning. Building connections can lead to referrals and insider information about job openings, making it easier to land an interview.
✨Tip Number 4
Prepare to discuss how your work can contribute to social good. Since the company values this mindset, think of examples where your skills in machine learning have positively impacted society. This alignment with their mission can make a strong impression during your conversations.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Understand the Company Mission: Before applying, take some time to understand the company's mission and values. Highlight how your skills and experiences align with their goal of using data for social good in your application.
Tailor Your CV: Make sure your CV reflects your relevant experience in developing NLP models and deploying them in production. Use specific examples that demonstrate your expertise in Python, AWS, and data science practices.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also your passion for social good. Discuss how you can contribute to the company's projects and your enthusiasm for working in a defence-tech environment.
Highlight Relevant Projects: In your application, include details about specific projects you've worked on that relate to machine learning and NLP. Explain your role, the technologies used, and the impact of the project to demonstrate your capabilities.
How to prepare for a job interview at Stealth Startup
✨Showcase Your Technical Skills
Be prepared to discuss your experience with NLP models and Python programming. Bring examples of projects you've worked on, especially those that demonstrate your ability to deploy models in a production environment.
✨Understand the Company's Mission
Familiarise yourself with the company's focus on social good and how their technology impacts defence. This will help you align your answers with their values and show genuine interest in their work.
✨Prepare for Behavioural Questions
Expect questions about teamwork and resilience. Think of specific examples from your past experiences where you collaborated with cross-functional teams or overcame challenges in your projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future directions. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.
