At a Glance
- Tasks: Build and scale AI-driven products to enhance customer experience and safety.
- Company: Leading digital gaming group with a global presence and innovative culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting projects with real-time data and impactful outcomes.
- Why this job: Join a dynamic team and shape the future of AI in gaming.
- Qualifications: Experience in AI engineering, from entry-level to senior roles.
The predicted salary is between 60000 - 80000 £ per year.
About the Company Our client is a NYSE-listed digital gaming group behind some of the world s best-known sports betting and i Gaming brands.
Operating across more than 20 countries with close to 3,000 employees, they are one of the largest online gaming businesses in the world, and they are investing seriously in AI across the group.
Betting is a real-time, data-heavy business, and they are putting AI to work across the parts of it that matter most: how customers experience the product, how they keep customers safe, and how the business runs day to day.
The Role We are seeking AI Engineers across all experience levels, from engineers early in their AI career through to senior and lead level, to build and scale AI-driven products across the business.
Depending on your level and where you land, that could mean: * Customer support automation: LLM agents that resolve account, payment and betting queries end to end, with clean handoff to human agents where it counts * Safer gambling: systems that help spot at-risk behaviour early and deliver the right intervention at the right moment, built to satisfy regulator scrutiny * KYC, AML and compliance workflows: document understanding and case summarisation that cut manual review time without cutting corners * Personalisation: relevant content, offers and CRM messaging generated and tested at scale * Internal tooling: copilots that give trading, CS and compliance teams f...
AI Engineer employer: Parkside
Parkside is an excellent employer that fosters a creative and supportive work culture, perfect for those looking to make a meaningful impact in the e-commerce and social media landscape. With a focus on employee growth and development, you will have the opportunity to take ownership of projects and see your ideas come to life, all while being part of a dynamic team in the vibrant UK market.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨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 Parkside!
✨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 at Parkside.
✨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 Parkside.
✨Apply Directly through Our Website
When you find a suitable opening like AI Engineer at Parkside, 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
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 Parkside, 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 Parkside. 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 Parkside
✨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 Parkside!
✨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.
