Research computer scientists Work, Jobs in Tooting, Gtl (with Salaries)

Computer Vision Researcher (VLM)
Niantic Spatial —London
- Full-time
- Hybrid work
- Doctoral degree
- Mentoring
Quick apply
Founding AI Research Scientist (LLMs)
Kangal AI —London
- £100,000 - £200,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
3d
AI Research Engineer (Model Compression & Quantization)
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Bachelor's degree
General Interest in working for Quantinuum - London-Cambridge-Oxford
Quantinuum —London
- Full-time
Research Engineer - 3D World Models
SpAItial —London
- Full-time
- Research
- Master's degree
- Bachelor's degree
Research Associate in Quantum Computation
Imperial College London —South Kensington
- £45,399 - £59,484 a year
- Full-time
- Doctoral degree
- Computer Science
- Research
3d
Research Scientist, AI Verification
Meta —London
- Doctoral degree
- Computer Science
- Research
Senior Audio AI Research Engineer
Logitech —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Research
- Work from home
Research Engineer, Algorithms
Normal Computing Corporation —London
- £200,000 - £400,000 a year
- Full-time
- Hybrid work
- Doctoral degree
Senior Research Scientist | Multimodal Systems
DeepL —London
- Full-time
- Hybrid work
- Research
Research Scientist, Provenance, DeepMind
DeepMind —London
- Doctoral degree
- Research
- Machine learning
4d
Applied Scientist, Agentic Automated Reasoning
Amazon Development Centre (London) Limited —London
- Full-time
- Master's degree
- AI
Applied Scientist, Alexa International Tech
Amazon Development Centre (London) Limited —London
- Full-time
- Doctoral degree
- Master's degree
- AI
AI Researcher - Post-Training
SonarSource —London
- Full-time
- Doctoral degree
- Computer Science
- Research
5d
Applied Scientist Lead - Computer Vision
Entrust —London
- Full-time
- Hybrid work
- Research
- Machine learning
- Team management
Research Fellow in AI & Optimisation for Physical Systems
University College London —London
- £46,261 - £54,019 a year
- Full-time
- Hybrid work
- Doctoral degree
- Research
- Machine learning
- Employee assistance programme
11d
Research Engineer (Evals)
White Circle —London
- Full-time
- Hybrid work
- Research
- AI
- Python
- Relocation assistance
- Annual leave
AI Residency Programme
Orbital —London
- Full-time
- Hybrid work
- Doctoral degree
- Maths
- Machine learning
Member of Technical Staff
Lucid Computing —London
- Full-time
- Hybrid work
- Machine learning
Quick apply
3d
AI Research Engineer
Graphcore —London
- Doctoral degree
- Research
- Master's degree
- Annual leave
- Employee assistance programme

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Computer Vision Researcher (VLM)

Niantic Spatial -
London

Quick apply

Job details

Full-time

Qualifications

Doctoral degree
PyTorch
Computer vision
Mentoring
Natural language processing
Data pipeline

Full job description

At Niantic Spatial, we’re building the future of geospatial AI. Powered by a proprietary database of over 30 billion posed images and a groundbreaking third-generation digital map, our mission is to develop spatial intelligence that helps both humans and machines better understand, navigate, and engage with the physical world. Our high-fidelity mapping technology unlocks a new dimension of interaction—laying the foundation for AI to truly comprehend and operate within real-world environments. Join us as we build a living model of the world that people and machines can talk to.

As a Computer Vision Researcher with experience in Large Language Models (LLMs), you will bridge the gap between 3D computer vision LLMs, creating a unified framework where machines can reason about their surroundings. By linking spatial geometry directly to language, you will enable our systems to perform context-aware navigation and answer complex, open-ended questions about the physical world.

Responsibilities

Architect Semantic Grounding: Lead research into cross-modal grounding that connects 3D spatial features with language embeddings, enabling the LGM to "understand" object relationships and environmental context.
Scale "Understand" Capabilities: Develop and deploy algorithms for continuous semantics, allowing our 3D maps to evolve and improve their situational awareness as new ground-level and aerial data is ingested.
Agentic Frameworks: Build the "spatial brain" for Embodied AI, enabling robots, Drones and other Machines to move beyond simple navigation to mission-level reasoning.
Multimodal Benchmarking: Define the standards for measuring "spatial common sense" in LLMs, creating evaluations that test a model’s ability to interpret and operate within complex 3D scenes.
Technical Mentorship: Serve as the technical anchor for the London R&D hub, resolving architectural disagreements and mentoring the next generation of researchers in the fusion of 3D CV and NLP.
Collaborative Innovation: Partner with Product leads to ensure the "Understand" API delivers high business value for enterprise customers in robotics, logistics, and field operations.

Required Qualifications:

Education: PhD (or equivalent) in Computer Vision, Machine Learning, or Robotics with a focus on Multimodal/Semantic understanding.
Years of Experience: 4+ years of experience in ML research, with a proven track record of shipping models that bridge 3D Vision and Language.
Technical Depth: Expert knowledge of 3D Geometry (SfM, SLAM, VPS) and Transformer-based architectures (VLMs).
Research Impact: Multiple first-author publications at top-tier venues (CVPR, NeurIPS, ICLR) focusing on VLMs, scene understanding or semantic segmentation.
Implementation Mastery: Ability to write production-quality research code in PyTorch or JAX and manage large-scale data pipelines.
Required In-Office Days: 3 days per week

Plus If:

Experience with Gaussian Splatting or NeRFs for semantic scene representation.
Background in robotics (ROS) or building agentic systems that interact with physical environments.
Experience with "open-set" recognition and Zero-Shot learning.

Candidate Privacy Policy

I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates.

If required by law, by submitting my job application I consent to the processing of my information as described in that Notice, including processing information I voluntarily disclose to Niantic Spatial, such as health or medical information, race or ethnicity data, and sexual orientation data and, in limited circumstances sharing information with third parties such as references and other third parties that assist in the hiring process.

Niantic Spatial is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with reasonable accommodation during the application process, please contact your recruiter.

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Refine Your Search

research computer scientists jobs in tooting, gtl

Computer Vision Researcher (VLM)

Founding AI Research Scientist (LLMs)

AI Research Engineer (Model Compression & Quantization)

General Interest in working for Quantinuum - London-Cambridge-Oxford

Research Engineer - 3D World Models

Research Associate in Quantum Computation

Research Scientist, AI Verification

Senior Audio AI Research Engineer

Research Engineer, Algorithms

Senior Research Scientist | Multimodal Systems

Research Scientist, Provenance, DeepMind

Applied Scientist, Agentic Automated Reasoning

Applied Scientist, Alexa International Tech

AI Researcher - Post-Training

Applied Scientist Lead - Computer Vision

Research Fellow in AI & Optimisation for Physical Systems

Research Engineer (Evals)

AI Residency Programme

Member of Technical Staff

AI Research Engineer

I want to receive the latest job alerts for research computer scientists in tooting, gtl

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