At a Glance
- Tasks: Develop and deliver AI solutions while mentoring junior team members.
- Company: Join a forward-thinking company focused on real-world AI applications.
- Benefits: Enjoy remote work flexibility and the chance to work on exciting projects.
- Why this job: Be part of innovative projects that solve real business challenges and enhance your skills.
- Qualifications: Experience with AI platforms and ability to build APIs or data connectors required.
- Other info: This role is outside IR35 for 6-8 months, perfect for those seeking contract work.
The predicted salary is between 48000 - 72000 £ per year.
We’re looking for an AI Engineer to help build and deliver real-world AI solutions for clients. You’ll work on live projects, support junior team members, and help create a repeatable approach we can use for future work.
- Build and improve AI tools for real business problems (e.g., reconciling data, extracting info from documents).
- Work closely with clients and teammates to deliver working AI solutions.
- Able to build APIs or custom data connectors.
- Familiarity with AI platforms like Azure AI Foundry, Vertex AI, or SageMaker.
Senior AI Engineer (Remote) employer: Cognitive Group | Part of the Focus Cloud Group
Contact Detail:
Cognitive Group | Part of the Focus Cloud Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer (Remote)
✨Tip Number 1
Familiarise yourself with the specific AI platforms mentioned in the job description, such as Azure AI Foundry, Vertex AI, and SageMaker. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight any experience you have in building APIs or custom data connectors. Be prepared to discuss specific projects where you've successfully implemented these solutions, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Tip Number 3
Showcase your ability to work collaboratively by preparing examples of how you've supported junior team members or worked closely with clients in previous roles. This will illustrate your teamwork skills and your commitment to delivering successful AI solutions.
✨Tip Number 4
Stay updated on the latest trends and advancements in AI technology. Being able to discuss recent developments or innovative approaches during interviews can demonstrate your passion for the field and your proactive attitude towards continuous learning.
We think you need these skills to ace Senior AI Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI engineering, particularly any projects where you've built or improved AI tools. Mention specific technologies and platforms like Azure AI Foundry, Vertex AI, or SageMaker that you have worked with.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI and how your skills align with the job requirements. Discuss your experience in delivering real-world AI solutions and your ability to work collaboratively with clients and team members.
Showcase Problem-Solving Skills: Provide examples in your application of how you've tackled real business problems using AI. Highlight any experience you have with building APIs or custom data connectors, as this is crucial for the role.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are important traits for a Senior AI Engineer.
How to prepare for a job interview at Cognitive Group | Part of the Focus Cloud Group
✨Showcase Your AI Expertise
Be prepared to discuss your experience with AI tools and platforms like Azure AI Foundry, Vertex AI, or SageMaker. Highlight specific projects where you've built or improved AI solutions, focusing on the real-world impact of your work.
✨Demonstrate Problem-Solving Skills
Expect to be asked about how you approach solving complex business problems using AI. Prepare examples that illustrate your thought process and the methodologies you use to develop effective solutions.
✨Emphasise Team Collaboration
Since the role involves working closely with clients and teammates, be ready to discuss your experience in collaborative environments. Share examples of how you've supported junior team members and contributed to a positive team dynamic.
✨Prepare for Technical Questions
Brush up on your technical skills, especially around building APIs and custom data connectors. You may be asked to solve coding challenges or explain your approach to integrating AI solutions with existing systems.