At a Glance
- Tasks: Lead AI initiatives in computer vision and large language models while mentoring your team.
- Company: Join Exposed Solutions, a leader in cutting-edge AI technology based in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving the future of AI technology.
- Why this job: Make a real impact in AI by deploying innovative solutions on Azure.
- Qualifications: Strong Python skills and production experience in ML/AI required.
The predicted salary is between 80000 - 100000 £ per year.
Exposed Solutions is seeking a Lead AI Engineer to advance their cutting-edge AI platform in London. You will lead machine-learning initiatives focused on computer vision and large language models.
Responsibilities include:
- Deploying robust ML pipelines on Azure
- Mentoring your team to deliver impactful AI solutions
The ideal candidate will have:
- Strong Python skills
- Production experience in ML/AI
- Familiarity with Azure services, ensuring alignment with regulatory standards
All applicants must be free to work in the UK.
Lead AI Engineer — Vision, LLMs & Production ML (Azure) in London employer: Exposed Solutions
Exposed Solutions is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. With a strong focus on employee growth, we provide ample opportunities for professional development and mentorship, ensuring that our team members are equipped to lead impactful AI initiatives. Our collaborative culture fosters creativity and encourages the exploration of cutting-edge technologies, making it a rewarding place for those passionate about advancing AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer — Vision, LLMs & Production ML (Azure) in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Exposed Solutions!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead AI Engineer — Vision, LLMs & Production ML (Azure) at Exposed Solutions.
✨Leverage Professional Networks
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 Exposed Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Lead AI Engineer — Vision, LLMs & Production ML (Azure) at Exposed Solutions, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead AI Engineer — Vision, LLMs & Production ML (Azure) 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 Exposed Solutions, 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 Exposed Solutions. 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 Exposed Solutions
✨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 Exposed Solutions!
✨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.
