Job Title: AI Engineer (Machine Learning & Computer Vision)
Location: London (Remote options)
Salary: £70,000 - £90,000 + Benefits
About Us:
The Client, based in London with R&D labs in Cambridge, who have just recieved their Series A funding, is at the forefront of AI innovation, building cutting-edge solutions that harness the power of artificial intelligence, machine learning, and computer vision. Our team is dedicated to solving complex problems and delivering intelligent systems that drive real-world impact. We are seeking a skilled AI Engineer to help us push the boundaries of what's possible.
Responsibilities:
* Design, develop, and deploy machine learning models, with a strong focus on computer vision applications.
* Implement deep learning architectures using frameworks such as TensorFlow, PyTorch, or Keras.
* Develop and optimize image processing and vision-based AI algorithms for object detection, segmentation, and classification.
* Work with large-scale datasets, including data preprocessing, augmentation, and annotation.
* Build and deploy AI models into production using cloud-based services (AWS, Azure, GCP) or edge computing platforms.
* Improve model performance through hyperparameter tuning, transfer learning, and advanced optimization techniques.
* Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to integrate AI models into applications.
* Stay up to date with the latest AI research, trends, and emerging technologies in computer vision and deep learning.
* Develop scalable APIs and integrate AI solutions with existing infrastructure.
Technical Skills:
* Expertise in Python, C++, or Java for AI/ML development.
* Proficiency in ML frameworks and libraries such as TensorFlow, PyTorch, OpenCV, Scikit-learn, and ONNX.
* Experience with cloud platforms (AWS, Azure, GCP) for AI model deployment and scaling.
* Strong understanding of neural networks, deep learning architectures, and computer vision techniques.
* Knowledge of real-time AI inference and edge computing optimization.
* Experience with AI pipeline automation, version control, and CI/CD integration.
* Familiarity with data engineering tools such as Apache Spark, Hadoop, or SQL for large-scale data processing.
* Proficiency in using Git, Docker, and Kubernetes for deployment and collaboration.
Required Qualifications:
* Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
* Strong proficiency in Python and experience with ML libraries/frameworks (TensorFlow, PyTorch, OpenCV, Scikit-learn).
* Experience with computer vision techniques such as image classification, object detection (YOLO, Faster R-CNN), image segmentation, and OCR.
* Knowledge of deep learning architectures, including CNNs, RNNs, and transformers.
* Experience working with large-scale datasets, data augmentation, and feature extraction techniques.
* Proficiency in cloud computing services for AI/ML deployment (AWS SageMaker, Azure ML, GCP AI).
* Familiarity with MLOps practices, including model versioning, deployment, and monitoring.
* Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Preferred Qualifications:
* Experience with edge AI deployment (NVIDIA Jetson, TensorRT, OpenVINO, or Coral Edge TPU).
* Hands-on experience with reinforcement learning or generative AI models.
* Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
* Experience with automated ML pipelines and tools like Kubeflow or MLflow.
* Contributions to open-source AI/ML projects or research publications in AI conferences.
What We Offer:
* Competitive salary and equity options.
* Opportunities to work on cutting-edge AI technologies and impactful projects.
* A collaborative, innovation-driven work environment.
* Flexible work arrangements and remote work options.
* Continuous learning and professional development support.
Desirable Benefits:
* Health, dental, and vision insurance
* Flexy days off (upto 40)
* Generous paid time off, including vacation and sick leave.
* Stock options and performance-based bonuses.
* Relocation assistance for eligible candidates.
* Access to state-of-the-art AI research labs and computing resources.
* Sponsored attendance at AI/ML conferences and workshops.