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AI Engineer/ Machine Learning Engineer

London

£400 - £650

+ Computer Vision

Contract
London

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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.

To Apply for this Job Click Here

AI Engineer

Amsterdam

€70000 - €80000

+ Computer Vision

Permanent
Amsterdam, 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

To Apply for this Job Click Here

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