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- Tasks: Develop and deploy machine learning models to detect deepfakes in media.
- Company: Join a mission-driven team focused on media integrity and security using AI.
- Benefits: Enjoy hybrid work flexibility, with options to work remotely or from our London office.
- Why this job: Make a real-world impact by tackling one of the biggest challenges of the AI era.
- Qualifications: 2-4 years of experience in machine learning; strong Python skills required.
- Other info: Contribute to cutting-edge AI research and collaborate with top professionals in the field.
The predicted salary is between 36000 - 60000 £ per year.
Are you an ambitious AI Engineer ready to apply cutting-edge machine learning to the frontier of media integrity and security? We’re looking for a creative and technically sharp AI Engineer to join a fast-moving team on a mission to combat synthetic media and digital impersonation using state-of-the-art AI.
In this hands-on role, you’ll research, develop, and deploy machine learning models that detect deepfakes across audio, video, and images—helping build real-time detection systems used by enterprise and government clients. From transformer-based architectures to adversarial model training, you’ll work with high-impact, real-world datasets and see your models directly shape mission-critical tools.
Whether you’re early in your career or bringing 2–4 years of hands-on ML experience, this is your opportunity to make a difference in one of the most important challenges of the AI era.
Purpose-Driven ML Work:Detect deepfakes, defend against audio/visual impersonation, and apply AI to protect truth in digital media.
Collaborative Engineering Culture:Partner with AI researchers, ML engineers, and product teams to deliver robust, real-time AI systems. Apply and experiment with modern architectures like transformers, GANs, and foundation models—from prototyping to production.
Hybrid Flexibility:Work remotely or from our London office, with flexibility to match how you work best.
- 2–4 years of experience in applied machine learning or AI research
- Strong programming skills in Python and frameworks like PyTorch or TensorFlow
- Familiarity with audio or video datasets and media processing techniques
- Knowledge of adversarial learning, signal processing, or forensic ML techniques
- Contributions to AI research or open-source ML projects
If you’re excited to develop AI that safeguards truth in an age of synthetic media—and want your work to have real-world impact—we’d love to hear from you. Apply now and help shape the future of AI-powered trust.
Remote C# Engineer employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote C# Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, particularly in areas like deepfake detection and adversarial learning. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the AI community by attending webinars, workshops, or meetups focused on machine learning and media integrity. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase any personal projects or contributions to open-source ML initiatives that align with the job's focus on deepfake detection and media processing. Having tangible examples of your work can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges in Python, especially those related to machine learning frameworks like PyTorch or TensorFlow. Being well-prepared will boost your confidence and performance during the interview process.
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 in applied machine learning and AI research. Emphasise your programming skills in Python and any relevant frameworks like PyTorch or TensorFlow.
Craft a Compelling Cover Letter: In your cover letter, express your passion for combating synthetic media and digital impersonation. Mention specific projects or experiences that demonstrate your familiarity with audio or video datasets and media processing techniques.
Showcase Relevant Projects: If you've contributed to AI research or open-source ML projects, be sure to include these in your application. Highlight any work related to adversarial learning or forensic ML techniques to stand out.
Proofread and Edit: Before submitting your application, carefully proofread your documents. Check for any grammatical errors or typos, and ensure that your application is clear and concise.
How to prepare for a job interview at Intellect Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and frameworks like PyTorch or TensorFlow. Bring examples of projects where you've applied machine learning techniques, especially in relation to audio or video datasets.
✨Demonstrate Your Problem-Solving Abilities
Expect questions that assess your approach to tackling complex problems, particularly in the context of detecting deepfakes. Be ready to explain your thought process and any relevant methodologies you've used.
✨Highlight Collaborative Experiences
Since the role involves working closely with AI researchers and product teams, share examples of how you've successfully collaborated in past projects. Emphasise your ability to communicate technical concepts to non-technical team members.
✨Express Your Passion for AI Ethics
Given the focus on media integrity and security, convey your understanding of the ethical implications of AI. Discuss why you are passionate about using technology to combat issues like digital impersonation and how you see your work contributing to this cause.
