At a Glance
- Tasks: Design and develop cutting-edge AI models for law enforcement and beyond.
- Company: Join Axon, a leader in AI innovation based in London.
- Benefits: Competitive salary, mentorship opportunities, and a chance to contribute to patents.
- Other info: Dynamic team environment with opportunities for professional growth.
- Why this job: Make a real impact in AI while leading and mentoring the next generation of scientists.
- Qualifications: Experience in machine learning and a passion for innovative research.
The predicted salary is between 70000 - 90000 £ per year.
Axon in London is seeking Machine Learning Scientists to join our AI team, focusing on LLMs, MLLMs, CV and Gen AI for law enforcement and beyond.
You will design, develop and deploy cutting-edge models and algorithms that enable intelligent reasoning and multimodal understanding.
You will own technical areas, provide leadership, mentor junior scientists, explore novel approaches, optimize models with accelerators, and stay up-to-date with research trends, contributing to patents and publications.
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Senior AI Research Scientist — LLMs, Vision & Robotics in London employer: Axon
At Axon, we are dedicated to creating a collaborative and innovative work environment where every employee can thrive. Our London office fosters a culture of teamwork and mentorship, offering flexible hybrid working arrangements that enhance work-life balance. With competitive benefits, a commitment to diversity, and ample opportunities for career growth, Axon is an exceptional employer for those looking to make a meaningful impact in the field of safety and justice.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Research Scientist — LLMs, Vision & Robotics in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Axon.
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We think you need these skills to ace Senior AI Research Scientist — LLMs, Vision & Robotics in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Axon, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Axon. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Axon
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Axon!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
