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AI Engineer/ Machine Learning Engineer
London
£400 - £650
+ Computer Vision
ContractLondon
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Project Focus:
- Objective: Predict the success of marketing content (images, videos, and text) before campaigns go live using multi-modal AI models.
- Method:
- Apply customer research (survey/NLP data) alongside computer vision and text models.
- Build models that can take a new creative (image, video, or ad copy) and predict its expected performance.
- Reduce reliance on traditional lengthy A/B testing by using pre-testing AI models.
- Provide detailed post-campaign insights, including content attributes that worked (or didn’t) for different audience segments (e.g., high spenders).
- Backtesting:
- AI models should be able to simulate performance against historical data to validate predictions.
- Models should also score new content (ads/videos/copy) before it is launched.
Key Technical Requirements:
1. Multi-Modal AI Expertise
- Ability to work with images, video, and text data simultaneously.
- Experience building or applying multi-modal models (e.g., combining visual and textual inputs).
2. Experience with Open-Source Models
- Ideally familiar with OpenAI CLIP or similar vision-language models.
- Should know how to adapt and apply open-source AI models to real-world data (not just academic familiarity).
3. Computer Vision and NLP Skills
- Computer vision: Practical knowledge – but not traditional CV (e.g., object detection) – focus is on newer multimodal models.
- NLP: Able to process and leverage customer research data (e.g., surveys, text responses).
4. Programming and Statistical Foundation
- Strong coding skills – must be a programmer at heart, not just a “tool user.”
- Solid background in statistics and mathematics to build reliable, explainable models.
- Should understand model evaluation, backtesting, and simulation of campaign performance.
5. Content Performance Modeling
- Build models that:
- Predict creative success for new ads, videos, and text.
- Backtest models using historical data.
- Score and provide insights into what aspects of content perform best.
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AI Engineer
Amsterdam
€70000 - €80000
+ Computer Vision
PermanentAmsterdam, North Holland
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Job Title: AI Engineer – Computer Vision & AI Specialist
Location: Amsterdam
Job Type: Full-time
About Them
This company are on a mission to redefine what’s possible with AI. They are building cutting-edge solutions that harness the power of artificial intelligence to solve real-world problems at scale.
They are a smalll but growing company who have won multiple awards and they are looking for an AI/Computer Vision specialist to support them on a new role in the team.
The Role
They are looking for a passionate AI Engineer with deep expertise in Computer Vision to join our growing R&D team.
You’ll be designing and developing intelligent vision-based systems that can perceive, understand, and make decisions-across diverse environments and datasets.
This is a hands-on engineering role, perfect for someone who loves solving hard problems with elegant algorithms and robust code.
What You’ll Do
- Design, build, and deploy computer vision models (object detection, classification, segmentation, tracking, etc.)
- Work with image, video, and sensor data across real-time and batch pipelines
- Develop and optimize deep learning architectures (CNNs, Transformers, GANs, etc.)
- Collaborate with cross-functional teams including data engineers, product managers, and ML ops
- Research and implement state-of-the-art techniques from academia and industry
- Continuously monitor and improve model performance in production
- Contribute to our AI platform infrastructure and help scale our solutions
What They Are Looking For
- Proven experience in computer vision and deep learning (e.g., PyTorch, TensorFlow, OpenCV)
- Strong software engineering skills in Python and/or C++
- Solid understanding of neural networks, image processing, and machine learning fundamentals
- Familiarity with cloud platforms (AWS, GCP, or Azure) and GPU acceleration
- Experience with production-grade AI/ML systems is a big plus
- Degree in Computer Science, AI, Mathematics, or a related field (Master’s or PhD preferred)
- Curiosity, creativity, and a love for solving complex challenges
Bonus Points For
- Experience with 3D vision, LiDAR, SLAM, or AR/VR
- Contributions to open-source CV or AI projects
- Experience with MLOps and model lifecycle management
- Publications or Kaggle competition wins
What They Offer
- Competitive salary + stock options
- Flexible remote-first work culture
- Learning budget for conferences, books, and courses
- Work with a team of passionate, world-class AI engineers and researchers
- Real impact on cutting-edge products used by thousands (or millions!) of people
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