What Image Processing Jobs are in London?

**Join us at Entrust ** At Entrust, we're shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.  **Get to Know Us ** Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It's the curiosity, dedication, and innovation that drive our success and help us anticipate the future.  **About the Company - Entrust Identity Verification:** At Entrust, identity is no longer a compliance checkbox-it's a real-time product problem shaped by machine learning, adversarial behavior, and high-stakes decisions. Every verification is a trade-off between fraud prevention, user experience, speed, and trust-and getting it right determines whether a legitimate user gets access or a sophisticated attacker gets stopped. Our Identity portfolio (formerly Onfido) powers document and biometric verification, fraud detection, and identity decisions at global scale. From detecting deepfakes to enabling seamless onboarding, our ML systems sit directly on the critical path of digital trust-used by banks, fintechs, marketplaces, and enterprises worldwide. **About the Team:** You'll join a high-caliber Applied Science group (~20+ scientists) working at the intersection of machine learning, product, and real-world constraints. The team is supported by a state-of-the-art ML Ops ecosystem (AWS, Encord, Ray, PyTorch Lightning, Weights & Biases) and partners closely with product and engineering to ship models into production at scale. This is applied research in its truest sense: advancing the frontier while delivering systems that must be accurate, fast, fair, and resilient in adversarial environments. **Position Overview:** We're looking for An **Applied Scientist Lead - Computer Vision** to lead one of our Applied Science teams at Entrust. You will lead a team of 6 applied scientists that trains and evaluates vision-language models for data extraction on one side, and efficient models (<5MB) that run on mobile devices on the other. The ML space here is exciting: better vision-language models enable better and more general extraction, and techniques like distillation and quantisation allow models to become smaller and smaller. We expect this role to be hands-on for about 50% of your time-making contributions to the codebase helps you deliver better feedback as well. **What you will be doing:** + Define the team's roadmap together with product and engineering leads. + Stay up-to-date on the vision-language modelling and efficient ML literature, and translate these insights into product opportunities. + Manage a team of 6 Applied Scientists. + Contribute to the regular development lifecycle by contributing to dataset creation, model training and evaluation code. + Push the frontier of research in areas such as vision-language modelling, document understanding, few-shot learning, distillation, quantisation, and active learning. + Publish research results in national and international conferences and scientific journals. **You may be a good fit if you:** + Have 2+ years of experience leading a team of ML scientists or research engineers. + Have 5+ years of industry experience as an individual contributor in a machine learning science team, either as an ML scientist or research engineer. + Have strong experience in machine learning and computer vision. + Have a strong record of successfully delivering high-performance ML-driven products. + Have a deep understanding of machine learning theory. + Have strong coding skills in Python and PyTorch. **Strong candidates may also have:** + Technical experience in one or more of the following areas: document understanding, vision-language modelling, few-shot learning, distillation, quantisation and active learning. + Published at top-level machine learning conferences. + Experience optimizing (distributed) training code. **What are we looking for?** An Applied Scientist Lead excels in three areas: **1. Scientific Contributions:** This person must shine as an example through past work and scientific drive within the team. They will continue to make direct contributions through side projects and, more often, by influencing the team's work with unique ideas. The goal of our team is also to positively impact the broader community, so this person should stand out through external contributions such as publications, talks, and open-source work. **2. Leadership & People Management:** This person must be passionate about growing the people on their team. Applied Scientists often require dedicated and thoughtful support due to the inherently unpredictable nature of their work. **3. Product and Business Acumen:** We are a product-centric and customer-centric company, so our work should strive to deliver meaningful product impact. This person must deeply care about both the product and the business, and excel at building long-lasting relationships across cross-functional teams including Product, Design, Engineering, and Analytics. **Where you will be:** **London, UK** or Paris, France (Hybrid - 3 days in office) **Why join us? Solve problems that matter-at scale** **.** At Entrust, we combine cutting-edge research with a deeply product-oriented culture-where ideas don't stop at papers, they power systems used by millions. Our products sit on the front lines of digital trust, tackling visual fraud at scale-from deepfakes and synthetic identities to sophisticated spoofing attacks. You'll lead teams, shape ML direction, and build models that must perform in the real world-under adversarial conditions, across global systems, and with real consequences. If you're motivated by turning advanced research into production-grade systems-and pushing the frontier while doing it-this is the kind of work worth doing. **NO AGENCIES, NO RELOCATION** \#LI-GR1 At Entrust, we don't just offer jobs - we offer career journeys. Here is what you can expect when you join our team:  + Career Growth: Whether you're a budding developer or a seasoned expert, we're invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority.  + Flexibility: Life is all about balance. Whether you're remote, hybrid, or on-site, we offer flexible options that fit your lifestyle.  + Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow.  We believe in securing identities-but it doesn't stop there. At Entrust, we're passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we're creating a community where everyone is encouraged to be themselves.  **Ready to Make an Impact? ** If you're excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let's build a more secure world-together.  **Apply today! ** For more information, visit ( .  Follow us on, LinkedIn ( , Facebook ( , Instagram ( , and YouTube ( _For US roles, or where applicable:_ **Entrust is an** **EEO/AA/Disabled/Veterans** **Employer** _For Canadian roles, or where applicable:_ **Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.** _If you require an accommodation, contact_ _._ **Recruiter:** Grace Rusingiza Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. We enable organizations to safeguard their operations, evolve without compromise, and protect their interactions in an interconnected world - so they can transform their businesses with confidence. Entrust supports customers in 150+ countries and works with a global partner network, we are trusted by the world most trusted organizations.

About the Role Our client, a leading innovator in artificial intelligence, is seeking a highly skilled and experienced Senior AI Research Scientist specializing in Computer Vision to join their dynamic team in **London, England, UK**. This pivotal role is instrumental in driving the development of cutting-edge AI solutions that push the boundaries of what's possible. You will be part of a collaborative environment where creativity and scientific rigor are paramount. The company is at the forefront of AI research and development, tackling complex challenges with sophisticated algorithms and novel approaches. This is an opportunity to make a significant impact in a rapidly evolving field, working with world-class talent on groundbreaking projects that will shape the future of AI applications across various industries. The role offers a unique blend of research, development, and strategic thinking, contributing to the company's long-term vision and market leadership. You'll have access to state-of-the-art computational resources and a wealth of data to fuel your innovations. The **London, England, UK** location provides access to a vibrant tech ecosystem and numerous professional development opportunities. Key Responsibilities

• Design, implement, and evaluate advanced computer vision algorithms for image recognition, object detection, and semantic segmentation.
• Conduct cutting-edge research in deep learning models for visual data processing, including CNNs, Transformers, and generative models.
• Collaborate with cross-functional teams of engineers and product managers to translate research findings into practical AI solutions.
• Develop and maintain robust, scalable, and efficient AI models for deployment in production environments.
• Stay abreast of the latest advancements in AI, machine learning, and computer vision through literature review and conference participation.
• Mentor junior researchers and engineers, fostering a culture of knowledge sharing and continuous learning.
• Contribute to the publication of research findings in top-tier academic journals and conferences.
• Develop and implement strategies for data augmentation, model optimization, and performance tuning.
• Present research progress and findings to stakeholders, including technical and non-technical audiences.
• Ensure ethical considerations and bias mitigation are integrated into AI model development and deployment.

Requirements

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related quantitative field.
• Proven track record of research and development in computer vision, with a strong portfolio of projects and publications.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in programming languages like Python, C++, and relevant libraries (e.g., OpenCV, Scikit-learn).
• Strong understanding of classical computer vision techniques and their relationship to modern deep learning approaches.
• Experience with large-scale datasets and distributed training environments.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to articulate complex technical concepts clearly.
• Demonstrated ability to work independently and as part of a collaborative team in a fast-paced research environment.
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads is a plus.

Benefits

• Competitive salary package and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holiday schedule.
• Opportunities for professional development, including conference attendance and further training.
• Access to cutting-edge research facilities and technology.
• A collaborative and stimulating work environment with world-class AI experts.
• Pension scheme contributions.
• Employee assistance program.
• Cycle to work scheme.
• Regular team-building events and social activities.

About Niantic Spatial

At Niantic Spatial, we’re building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and machines better understand, represent, navigate, and engage with the real environment.

Our reconstruction technology captures environments with geometric accuracy and extreme detail from any standard camera, and our Visual Positioning System delivers precise positioning almost anywhere in the world. We serve customers across robotics, the public sector, and energy and industrial markets — building for the 80% of economic activity that takes place beyond our screens.

About the Role

We are looking for a Computer Vision Research Engineer to join our Research Team in London. Our team researches and builds the 3D reconstruction technology behind Niantic Spatial's platform. These pipelines turn casually captured or domain specific imagery into high-fidelity explorable 3D reconstructions. This entails anything from Structure-from-Motion through to 3D Gaussian Splatting and feed-forward models. Our team shipped 360 splatting to consumers and enterprise customers, developed the splatting tech that runs on phones, shipped multiple POCs to enterprise customers, and have innovated on countless AR technologies. Our team has published at top venues (CVPR, ICCV, ECCV, SIGGRAPH); more often than not, our papers end up in production. We're hiring a researcher to work at both ends of that pipeline. You will implement and iterate on the state-of-the-art for both academic publishing and production, regularly working on prototypes with a short turnaround into customer-facing production.

You will work alongside world‑class researchers in computer vision, machine learning, graphics, and robotics to develop new approaches for large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models.

What You’ll Do

• Conduct original research in computer vision, machine learning, and spatial AI.

• Design, implement, and evaluate novel algorithms for:

  • 3D reconstruction

  • Neural scene representations

  • 3D Gaussian Splatting

  • Geometric deep learning

  • Structure-from-Motion (SfM)

  • Feed-forward models

  • Spatial foundation models

• Collaborate with research scientists and engineers to transition promising ideas into future products.

• Develop large-scale experiments and benchmarking frameworks.

• Work directly with the realities of production with real capture conditions, real hardware constraints, and real customers.

• Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH.

What You’ll Bring

• PhD in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field. Exceptionally strong candidates with equivalent experience in industry would be considered.

• A strong research track record in 3D computer vision: reconstruction, depth estimation, novel view synthesis, SfM, SLAM, or closely related areas.

• Strong publication record at top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, etc.

• Strong programming skills in Python and experience in PyTorch.

• Evidence that you can carry an idea from research into something real; that may be a shipped feature, a production pipeline, a widely used open-source release, or similar.

• Ability to independently drive research projects from idea generation through experimentation and publication.

Nice to Have

• Experience with classical reconstruction tooling (COLMAP etc).

• C++ or CUDA, and a feel for performance and on-device constraints.

Compensation & Benefits

£96,300 - £107,000 + bonus / equity / benefits

Location & Work Model

London, UK. Hybrid — at least 3 days per week in office. Niantic Spatial sponsors work visas for many roles. We can’t guarantee sponsorship for every role or every candidate, but if we make you an offer, we’ll make a reasonable effort to support your work authorization.

Inclusive Application

We know the strongest candidates don’t always tick every box. If you’re excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn’t match every qualification listed — you may be exactly who we’re looking for.

Equal Opportunity

Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial, will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.

Candidate Privacy

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

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Encord based in Greater London is seeking an experienced Machine Learning Engineer to build and scale cutting-edge AI solutions. You’ll work across the full ML lifecycle, partnering with product engineering to translate complex ideas into scalable features.

The ideal candidate has 3+ years in machine learning engineering, strong Python and ML library skills, and is driven to solve challenging problems. The role includes a competitive salary, culture of collaboration, and opportunities for professional development.

Team members work from the London office, with 25 days leave and regular company events.

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Job Search Place Limited is looking for an experienced Machine Learning Engineer with expertise in computer vision to contribute to defense sector projects. The successful candidate will translate theoretical concepts into practical solutions, mentor junior team members, and provide guidance on technical project direction.

A minimum of 5 years of experience in the UK, proficiency in Python, and an active SC or DV clearance are essential.

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iO Associates is seeking an experienced Machine Learning Engineer with a strong background in computer vision for their projects in the defence sector. You'll work on translating theoretical concepts into real-world solutions while mentoring junior team members and guiding the project's technical direction.

Applicants must have deep experience in computer vision, an active SC or DV clearance, and a minimum of 5 years of residency in the UK. Proficiency in Python and familiarity with relevant tools like PyTorch and OpenCV is essential.

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Sivara GmbH, located in Greater London, is seeking a skilled AI Engineer to develop and deploy advanced computer vision models. The ideal candidate will have strong Python experience, knowledge of machine learning techniques, and familiarity with Azure AI services. You will work closely with the data science team and provide technical direction.

This role focuses on driving the development of AI solutions that align with business objectives, ensuring that models are robust and scalable for production use.

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My client is a fast-growing technology business doing genuinely impactful work, building platforms that make physical environments safer and more intelligent. They operate at the cutting edge of computer vision and real-time AI, and they are scaling quickly.

The team is high‑calibre, operates with autonomy and has a culture built on trust and candour. This is a business where the work matters and the people are given the space to do it well.

The Role

They are looking to bring on an ML Researcher to join the machine learning team in London. You will own research directions end-to-end, from problem formulation through to production deployment, working across a range of computer vision and deep learning disciplines.

The expectation is to publish at top venues and ship at scale. There is also real scope to shape the research roadmap and mentor junior researchers as the team grows.

Requirements

• PhD, or Master's with equivalent research experience, in Computer Vision, Machine Learning or a related discipline
• Published work at leading conferences or journals is a strong plus
• Deep expertise across one or more computer vision or spatial AI research areas
• Strong Python and PyTorch skills, with the ability to write production-quality code
• Able to work independently, define technical direction and communicate findings clearly

What's in it for you?

• Hard problems with real-world impact
• Publish at top venues and deploy at scale
• High autonomy and direct influence over the research roadmap

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This role is based at Depixen’s London Office .

Depixen is a London-based technology company building the digital decision infrastructure of the construction industry. As a corporate member of the World Wide Web Consortium — W3C , Depixen develops W3C-compliant Linked Data architectures , domain-specific ontologies , taxonomy models , RDF-based data structures , and knowledge graph infrastructures for the construction sector. Through its AI projects with respected universities and institutions in the United Kingdom, Depixen continues to build a scalable global structure across the United States, Europe, and the Far East.

Computer vision is one of the critical perception layers of this infrastructure. In construction, architecture, and building products, visual data is not merely unstructured; it is deeply contextual. Product images, technical documents, drawings, site photos, spatial data, material surfaces, and building elements must be interpreted together with verified technical knowledge, semantic classifications, and machine-interpretable data models.

This is not a conventional image recognition role. You will help connect visual AI outputs with verified data, taxonomy, ontology, RDF, and knowledge graph layers, turning perception into reliable decision intelligence for the construction industry.

We are seeking a talented Computer Vision Engineer to design, develop, and productionize advanced perception systems for real-world construction industry use cases. In this role, you will work on object detection, segmentation, OCR, visual matching, product recognition, building element analysis, site image interpretation, video analytics, and multimodal vision-language applications.

The ideal candidate is analytical, research-driven, collaborative, and capable of turning advanced computer vision ideas into reliable production systems that address real industry problems.

Responsibilities

• Design, develop, and evaluate robust, scalable, and verifiable computer vision models and pipelines using modern deep learning frameworks.
• Build and optimize end-to-end vision systems covering data preprocessing, model development, deployment, monitoring, and continuous improvement.
• Develop systems for object detection, segmentation, tracking, OCR, image classification, visual matching, product recognition, and video analytics as required.
• Collaborate with data and modelling teams to connect visual AI outputs with taxonomy, ontology, RDF, and knowledge graph layers.
• Work with cross-functional teams to understand product requirements and translate them into scalable technical solutions.
• Develop automated testing, benchmarking, and evaluation workflows to ensure the performance, reliability, and safety of computer vision applications.
• Optimize models and inference pipelines for scalability, latency, and cost-efficiency across GPU and CPU environments.
• Contribute to dataset design, annotation processes, data quality validation, and tools that improve model performance and reliability.
• Translate research-level computer vision and multimodal AI approaches into production-ready technical solutions.

Required Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, Artificial Intelligence Engineering, or a related field.
• 3-6 years of experience in computer vision, deep learning, or a related AI field.
• Strong proficiency in Python.
• Hands‑on experience with deep learning frameworks such as PyTorch, TensorFlow, or similar.
• Practical experience developing, testing, and deploying computer vision models in production environments.
• Solid technical understanding of convolutional and transformer-based architectures, such as CNNs, ViT, YOLO, and Detectron2.
• Hands‑on experience in several of the following areas: object detection, segmentation, OCR, tracking, image classification, or video analytics.
• Experience with ML Ops practices and tools such as Docker, Kubernetes, MLflow, and Weights & Biases.
• Systematic approach to model evaluation, benchmarking, data quality control, and error analysis.
• Familiarity with GPU/CPU inference optimization, latency management, and model deployment workflows.
• Ability to analyse technical problems clearly, document solutions effectively, and communicate across teams.

Preferred Qualifications

• Master’s or PhD degree in a relevant field.
• Experience implementing or fine‑tuning vision-language models such as CLIP, BLIP, or SAM.
• Experience with multimodal AI, visual grounding, open‑vocabulary detection, or image‑text retrieval.
• Familiarity with edge deployment frameworks such as TensorRT, OpenVINO, or ONNX Runtime.
• Experience with 3D vision, point clouds, depth estimation, SLAM, spatial intelligence, or digital twin‑based visual analysis.
• Experience working with construction, architecture, construction technologies, BIM, technical document analysis, or product data systems.
• Experience with OCR, technical document processing, drawing analysis, catalogue data extraction, or visual product matching.
• Contributions to open‑source computer vision projects.
• Experience deploying models on cloud platforms such as AWS, GCP, or Azure.
• Experience with data annotation, synthetic data, active learning, or dataset quality management.

Problem Areas You May Work On

In this role, you may work on problem areas including:

• Visual recognition and classification of building products.
• Matching product images with technical data, catalogue information, and semantic classifications.
• OCR‑based data extraction from technical documents, catalogues, and PDFs.
• Joint analysis of architectural drawings, site photos, and product images.
• Detection of building elements and material surfaces.
• Linking visual data with taxonomy, ontology, and knowledge graph structures.
• Applying vision‑language models in the construction industry context.
• Quality, compliance, or contextual analysis from site imagery.
• Connecting visual AI outputs to verified, structured, and machine‑interpretable data infrastructure.

Why This Role Different

The construction industry is one of the most complex application areas for computer vision because it brings together architecture, engineering, construction, building materials, and site operations. In this domain, the meaning of an image cannot be derived from pixels alone. The product class, technical standard, usage context, relationship to building elements, material characteristics, performance values, and verifiable data counterpart must be considered together.

• At Depixen, computer vision outputs are not treated as isolated predictions. They are treated as decision components connected to verified data, semantic classification, ontology, RDF, and knowledge graph layers. This makes the role not only about model development, but about building reliable, contextual, and verifiable AI systems for the construction industry.

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