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For Companies At a Glance
- Tasks: Design and develop cutting-edge models to understand human behaviour using AI.
- Company: Join a London-based defence-tech startup focused on social good through data analysis.
- Benefits: Enjoy fully remote work, flexible hours, and the chance to make a real impact.
- Why this job: Be part of a high-impact venture with rapid growth and innovative projects in Defence.
- Qualifications: 4 years of experience in data science, proficiency in Python, and knowledge of AWS required.
- Other info: Collaborate with diverse teams to deliver end-to-end solutions in a dynamic environment.
The predicted salary is between 43200 - 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.
We are looking for a Machine Learning Engineer to enhance our platform by designing and developing cutting-edge models to understand human behaviour:
- 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.
- 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.
Requirements:
- 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 of working with SQL or NoSQL databases.
If you're looking for a venture with high impact and rapid growth with remote flexibility, please apply.
Contact Detail:
Stealth Startup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer (Fully Remote)
✨Tip Number 1
Familiarise yourself with the latest advancements in NLP and machine learning. Follow relevant blogs, attend webinars, or join online communities 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 its services like ECS, S3, and Lambda. If you have personal projects or contributions that highlight your skills in deploying models on cloud infrastructures, be ready to discuss them in detail.
✨Tip Number 3
Prepare to discuss your approach to writing clean and maintainable Python code. Be ready to share examples of how you've implemented best practices in your previous roles, as this is crucial for the position.
✨Tip Number 4
Network with professionals in the defence-tech sector. Engaging with others in the industry can provide insights into the company culture and expectations, which can be invaluable during the interview process.
We think you need these skills to ace Senior Machine Learning Engineer (Fully Remote)
Some tips for your application 🫡
Understand the Company: Familiarise yourself with the defence-tech startup's mission and values. Highlight how your skills in machine learning and data science align with their goal of using data for social good.
Tailor Your CV: Make sure your CV reflects your experience in developing data science models, particularly in NLP. Emphasise your proficiency in Python and any relevant cloud computing experience, especially with AWS.
Craft a Compelling Cover Letter: In your cover letter, discuss specific projects where you've designed and deployed machine learning models. Mention your ability to work with cross-functional teams and how you stay updated with advancements in the field.
Showcase Relevant Skills: When detailing your experience, focus on your expertise in software development practices, version control, and CI/CD tools. Provide examples of how you've improved model performance in production environments.
How to prepare for a job interview at Stealth Startup
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning models, particularly in NLP. Bring examples of projects you've worked on, and be ready to explain the methodologies you used and the results achieved.
✨Demonstrate Your Problem-Solving Ability
Expect scenario-based questions that assess your analytical thinking. Think about how you would approach real-world problems related to defence-tech and be ready to articulate your thought process clearly.
✨Highlight Collaboration Experience
Since the role involves working closely with cross-functional teams, share examples of how you've successfully collaborated with behavioural scientists, data scientists, or software engineers in the past. Emphasise your communication skills and teamwork.
✨Stay Updated on Industry Trends
Research the latest advancements in AI, machine learning, and NLP. Being knowledgeable about current trends will not only impress your interviewers but also show your passion for the field and commitment to continuous learning.
