At a Glance
- Tasks: Create innovative AI solutions and collaborate on exciting projects with a talented team.
- Company: Join Talan Data x AI, a leader in cutting-edge technology and AI solutions.
- Benefits: Enjoy competitive pay, travel opportunities, and professional growth in a dynamic environment.
- Other info: Opportunity to work closely with senior experts and gain hands-on experience in AI.
- Why this job: Make a real impact in the AI field while working on diverse and meaningful projects.
- Qualifications: Strong Python skills and experience with ML libraries are essential; Azure knowledge is a bonus.
Talan Data x AI is seeking an AI Engineer to deliver GenAI/LLM-focused solutions on client engagements. You will own meaningful workstreams, writing dependable code, and collaborating with graduate resources under senior guidance.
You will work across modern AI, contribute to model evaluation and monitoring, and enjoy breadth across AI problems while traveling to client sites as needed. Strong Python and ML library experience are essential, with Azure/LLMOps a plus.
#J-18808-LjbffrAI Engineer: GenAI, LLMs & Agent-based Analytics in Edinburgh employer: Talan
At Talan Data x AI, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration across our UK offices in London, Edinburgh, Manchester, Leeds, and Birmingham. Our commitment to employee growth is evident through our comprehensive benefits package, including a unique reward programme for sabbaticals, generous holiday allowances, and bespoke online learning opportunities, ensuring that our team members not only excel in their roles but also thrive personally and professionally in the fast-evolving field of data science and AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer: GenAI, LLMs & Agent-based Analytics 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 Talan!
✨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 AI Engineer: GenAI, LLMs & Agent-based Analytics at Talan.
✨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 Talan.
✨Apply Directly through Our Website
When you find a suitable opening like AI Engineer: GenAI, LLMs & Agent-based Analytics at Talan, 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 AI Engineer: GenAI, LLMs & Agent-based Analytics 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 Talan, 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 Talan. 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 Talan
✨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 Talan!
✨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.
