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For Companies At a Glance
- Tasks: Develop AI models for NLP and Computer Vision while collaborating with partners.
- Company: Join a deep-tech start-up at the forefront of AI innovation.
- Benefits: Enjoy a flexible working environment and significant career progression opportunities.
- Why this job: Work on pioneering AI research in a high-growth start-up with a collaborative culture.
- Qualifications: PhD or MSc in relevant fields and expertise in Neural Networks required.
- Other info: Active SC Clearance is mandatory for this role.
The predicted salary is between 60000 - 84000 £ per year.
I am working with a deep-tech start-up seeking a highly skilled AI engineer to join their growing team. This role will focus on developing AI algorithms for Neural Network-based NLP and Computer Vision, while collaborating with institutional, academic, and commercial partners.
The Role
- Develop and refine AI models for Natural Language Processing (NLP) and Computer Vision
- Adapt existing methods and create new scientific techniques and experimental protocols
- Test hypotheses, analyze scientific data, and refine models based on findings
- Provide expertise and guidance to other members of the AI research team
- Support bid writing and contribute to technical proposals
- Stay up to date with AI and space industry developments, identifying business opportunities
- Represent the company at conferences and meetings with clients, collaborators, and government agencies
Key Requirements
- Active SC Clearance is required
- PhD or MSc in Computer Science, Electrical Engineering, Mathematics, or a related field, or equivalent industry experience
- Expertise in Neural Network-based NLP and Computer Vision
- Strong programming skills in Python
- Proven ability to work collaboratively within a research team
- Strong analytical and problem-solving skills
Preferred Skills
- PhD in Computer Vision, Speech/Audio Processing, or AI
- Track record of contributions to AI research and thought leadership
- Background in classical computer vision techniques
- Experience in machine learning model development
- Strong written and verbal communication skills
- Ability to contribute to commercial project delivery and technical bid writing
What’s on Offer
- Salary: £100,000 (Depending on experience)
- Highly flexible working environment
- Significant career progression opportunities
- Opportunity to work on pioneering AI research in a high-growth start-up
Remote C# Engineer employer: Intec Select
Contact Detail:
Intec Select Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote C# Engineer
✨Tip Number 1
Make sure to highlight your experience with Neural Network-based NLP and Computer Vision in any conversations you have. This is a key focus for the role, so demonstrating your expertise will set you apart.
✨Tip Number 2
Network with professionals in the AI field, especially those who have experience in deep-tech start-ups. Attend relevant conferences or webinars where you can meet potential colleagues and learn more about the industry.
✨Tip Number 3
Stay updated on the latest developments in AI and space industries. Being knowledgeable about current trends and breakthroughs will not only help you in interviews but also show your genuine interest in the field.
✨Tip Number 4
If you have experience in bid writing or technical proposals, be prepared to discuss this in detail. The ability to contribute to commercial project delivery is a significant aspect of the role, so showcasing your skills here is crucial.
We think you need these skills to ace Remote C# Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI algorithms, particularly in NLP and Computer Vision. Include specific projects or roles where you've demonstrated your programming skills in Python and your ability to work collaboratively within a research team.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your relevant qualifications, such as your PhD or MSc, and how your expertise aligns with the key requirements of the position. Mention any experience you have with bid writing and technical proposals.
Showcase Your Research Contributions: If you have a track record of contributions to AI research, make sure to include this in your application. Highlight any publications, presentations, or projects that demonstrate your thought leadership in the field, especially related to Neural Networks and AI.
Proofread Your Application: Before submitting your application, take the time to proofread your documents. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Intec Select
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Neural Network-based NLP and Computer Vision in detail. Bring examples of projects you've worked on, and be ready to explain the algorithms and techniques you used.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Practice articulating your thought process when tackling complex problems, as this will showcase your analytical skills and ability to adapt existing methods.
✨Highlight Collaboration Experience
Since the role involves working with various partners, share specific examples of how you've successfully collaborated within a research team. Emphasise your communication skills and how you contribute to a positive team dynamic.
✨Stay Updated on Industry Trends
Research recent developments in AI and the space industry before your interview. Being knowledgeable about current trends will not only impress your interviewers but also demonstrate your genuine interest in the field.
