26 to 28 of 28 Deep Learning Jobs in Central London

Data Analyst

Hiring Organisation
Information Tech Consultants
Location
City of London, London, United Kingdom
organizations as well as Mobile Apps and Service companies. Required Skills: 2-4 years of experience manipulating data sets and building statistical and machine learning models. Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field Fluent English (written/spoken) Strong hands-on experience … Python, SQL, No SQL. Experience in Developing Machine Learning/Data Science models, from coding to deployment. Preferred Skills: Hands on experience in coding (mandatory python and SQL or C++). Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning. Familiarity working with large data sets. ...

GTM Market Launcher (AI)

Hiring Organisation
SABIA Personal
Location
City of London, London, United Kingdom
FMCG, or e-commerce. UK-market experience is a strong plus. You show up publicly. LinkedIn, X, in-person — you're in the arena, learning in public, engaging in the conversations that matter. They expect their GTMs to be curious, share what they learn, and push market intelligence back … working without it. Most growth tools tell you what happened. Our client tells you what to do next — and then does it. Built on deep learning, not prompts. What sets us apart isn't the technology alone — it's that they've sat on the other side ...

Computer Vision Engineer

Hiring Organisation
Ultralytics
Location
City of London, London, United Kingdom
other core computer vision tasks. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of hands-on experience in Computer Vision and Deep Learning. Expert … level proficiency in Python and deep expertise with PyTorch. Strong practical experience with OpenCV for image and video processing tasks. Proven experience in training, fine-tuning, and deploying object detection models, particularly within the YOLO family. Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks ...