At a Glance
- Tasks: Build cutting-edge AI systems and tackle high-impact projects with top organisations.
- Company: Innovative AI consultancy based in Edinburgh, fostering a culture of curiosity.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for continuous growth.
- Other info: Perfect for those passionate about AI and looking for career advancement.
- Why this job: Join a dynamic team and make a real difference in the AI landscape.
- Qualifications: Expertise in Python and SQL, plus strong client-facing and problem-solving skills.
The predicted salary is between 60000 - 80000 £ per year.
Opus Recruitment Solutions is looking for a Senior/Lead Applied AI Engineer to join an innovative AI consultancy in Edinburgh. You will be responsible for building production-grade AI systems using your expertise in Python and SQL, and work on high-impact projects with leading organisations.
The ideal candidate will have strong client-facing skills, a problem-solving mindset, and a passion for AI. Enjoy a flexible, hybrid working environment in a culture that values curiosity and continuous growth.
Senior Applied AI Engineer - Client-Facing, Scaleup in Edinburgh employer: Opus Recruitment Solutions
Opus Recruitment Solutions offers an exceptional work environment for a Senior Applied AI Engineer, where innovation meets collaboration in the heart of Edinburgh. With a strong emphasis on flexibility and a culture that nurtures curiosity and continuous growth, employees are encouraged to develop their skills while working on impactful projects with leading organisations. Join a team that values your expertise and fosters meaningful connections in the rapidly evolving field of AI.
Contact Details:
Opus Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applied AI Engineer - Client-Facing, Scaleup in Edinburgh
✨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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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 Senior Applied AI Engineer - Client-Facing, Scaleup at Opus Recruitment Solutions.
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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 Opus Recruitment Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Applied AI Engineer - Client-Facing, Scaleup at Opus Recruitment 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 Senior Applied AI Engineer - Client-Facing, Scaleup in Edinburgh
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 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!
✨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 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.
