At a Glance
- Tasks: Design and build impactful AI solutions while collaborating with clients.
- Company: Fast-growing scale-up in the AI consultancy space.
- Benefits: Flexible hybrid working environment and a chance to make your ideas count.
- Other info: Innovative setting with opportunities for personal and professional growth.
- Why this job: Join a dynamic team and shape the future of AI from day one.
- Qualifications: Strong experience with AI technologies and a client-focused mindset.
The predicted salary is between 80000 - 100000 £ per year.
Opus Recruitment Solutions seeks a Mid Applied AI Engineer to collaborate with clients in designing impactful AI solutions. This role involves building AI applications and advising on AI strategy in a dynamic, innovation-led setting.
The ideal candidate will have strong experience with AI technologies and a client-focused mindset. Join a fast-growing scale-up in the AI consultancy space, where your ideas will matter from day one, and enjoy a flexible, hybrid working environment.
Client-Facing Applied AI Engineer - Scaleup, LLM Solutions in London employer: Opus Recruitment Solutions
At Opus Recruitment Solutions, we pride ourselves on being an excellent employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our dynamic work culture encourages creativity and offers flexible, hybrid working arrangements, ensuring a healthy work-life balance. With ample opportunities for professional growth and the chance to make a real impact from day one, we are committed to supporting our employees in their career journeys within a fast-paced scale-up environment.
Contact Details:
Opus Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Client-Facing Applied AI Engineer - Scaleup, LLM Solutions 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 Opus Recruitment Solutions!
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We think you need these skills to ace Client-Facing Applied AI Engineer - Scaleup, LLM Solutions 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!
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Craft a Tailored Cover Letter:For a full-time role at Opus Recruitment 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 Opus Recruitment 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 Opus Recruitment 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!
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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 Opus Recruitment 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.
