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- Tasks: Design and deploy AI applications for diverse clients, especially in government sectors.
- Company: Leading technology solutions provider with a focus on innovation.
- Benefits: Flexible working options, performance-related profit sharing, and extensive educational assistance.
- Why this job: Join a dynamic team and shape the future of AI across various industries.
- Qualifications: 3+ years in software engineering, proficient in Python and machine learning frameworks.
- Other info: Remote work available with great opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology solutions provider is seeking an AI Engineer in Greater London. This role involves designing and deploying AI applications for clients across various industries, particularly in government sectors.
The candidate should possess at least 3 years of software engineering experience and be proficient in Python and machine learning frameworks.
This position offers flexible working options and numerous benefits, including performance-related profit sharing and extensive educational assistance.
AI Engineer - Remote, Growth & SC Eligible employer: Version 1
Contact Detail:
Version 1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Remote, Growth & SC Eligible
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python and machine learning frameworks. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and coding challenges. Practise explaining your thought process clearly, as communication is key in this role, especially when working with clients in various sectors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Engineer - Remote, Growth & SC Eligible
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and your proficiency in Python and machine learning frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a great fit for our team. We love seeing enthusiasm and a personal touch!
Showcase Your Projects: If you've worked on any AI applications or relevant projects, make sure to mention them! We’re interested in real-world examples of your work, especially those that demonstrate your problem-solving skills in various industries.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Version 1
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any machine learning frameworks you've worked with. Be ready to discuss specific projects where you've applied these technologies, as the interviewers will want to see how you can design and deploy AI applications effectively.
✨Understand the Industry
Since this role involves working with clients in various sectors, especially government, do some research on current trends and challenges in those areas. Being able to speak knowledgeably about how AI can solve real-world problems will impress your interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or case studies during the interview. Think of examples from your past experience where you faced a challenge and how you approached solving it. This will demonstrate your critical thinking and adaptability.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current AI projects or how they measure success in this position. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
