Computer Vision Engineer

microTECH Global LTD; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

microTECH Global LTD in London invites applications for a permanent, full-time AI Research Engineer role. You will contribute to frontier multimodal model breakthroughs from our King’s Cross hub, collaborating with an international research team to translate insights into production-ready systems.

Requirements include a Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, or related fields, strong Python skills, and practical experience with PyTorch.

Qualifications

• Bachelor’s degree or higher in a technical field required.
• Strong Python and PyTorch experience needed.
• Proven ability to develop algorithms and reason over complex models.

Responsibilities

• Develop ViT and multimodal model architectures with improved reasoning and efficiency.
• Advance multimodal alignment, representation learning, and long-context modeling.
• Process large-scale multimodal data across images, videos, audio, and text.
• Build pipelines for data cleaning, filtering, annotation, and quality control.
• Engineer training, inference, and serving infrastructure for scalable models.
• Collaborate with product and engineering teams to deploy and iterate models.

Skills

Python programming

PyTorch

Algorithm development

Cross-functional collaboration

Mathematical reasoning

Education

Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or related technical disciplines

Tools

PyTorch

Job description

Backed by an international research team and abundant computing resources, the center focuses on core research directions including multimodal understanding and generation, vision-language large models, and embodied intelligence. This is a permanent, full-time position located in the tech hub of King's Cross, London.

Key Responsibilities:

Frontier Technical Breakthroughs

• Develop ViT and multimodal large model architectures with improved reasoning and efficiency
• Advance multimodal alignment, representation learning, and long-context modeling
• Optimize model architectures for generalization and performance

Data Ecosystem Construction

• Process large-scale multimodal data across images, videos, audio, and text
• Build pipelines for data cleaning, filtering, annotation, and quality control
• Construct and maintain datasets with versioning and reproducibility
• Optimize data mixtures and sampling strategies for model training
• Improve data quality through feedback-driven curation loops

MLLM Systems & Infrastructure

• Optimize GPU utilization, cluster efficiency, and resource scheduling
• Engineer training, inference, and serving infrastructure
• Improve scalability, stability, and performance of model systems

Business Value Delivery

• Integrate multimodal capabilities into assistant and content generation scenarios
• Translate research into production and user-facing applications
• Collaborate with product and engineering teams to deploy and iterate models

Person Specification:

• Academic Background: Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or related technical disciplines.
• Technical Skills: Proficient in Python programming with strong hands-on experience in PyTorch and deep learning frameworks.
• Core Competencies: Strong algorithm development and implementation skills, solid mathematical and logical reasoning ability, and excellent cross-functional communication and collaboration skills.
• Traits: Self-driven and highly motivated toward advancing artificial intelligence (AI), with strong resilience and the ability to tackle challenging technical problems.
• Strong track record of publications in top-tier AI or computer vision conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR)
• High-impact open-source projects or internship experience in leading technology companies within CV, NLP, or multimodal domains