Trabajos computer vision en NottinghamCrear alertas

Job Title: Data Scientist/Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services 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 on 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., • Project Management background preferred. Qualifications : • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

AYES is looking for a Software Engineer AYES, an international engineering and technology consultancy founded in Italy, is continuing its growth and expanding its UK team. We are looking for a Software Engineer experienced in SW development, embedded systems, and software engineering for complex technical projects. ⚡ Your profile • University degree (BSc or MSc) in Computer Science, Software Engineering, Electronic Engineering, or a related field., • Minimum of 3 years’ experience in software development, with a strong focus on C++ and embedded systems., • Experience developing software for real-time or safety-critical systems., • Familiarity with software architecture, testing, debugging, and version control tools., • Availability to work in the South of the UK. 🌍 About AYES We are an international consultancy specialised in the Aerospace, Rail, Automotive, Energy, Naval and Defence sectors. Our team combines experience, innovation, and a global vision to deliver high-value engineering solutions for international projects. 🚀 What we offer • The opportunity to join a company in the midst of international growth., • A dynamic, collaborative environment focused on professional development., • High-impact projects across Europe and the United States., • Real opportunities for career growth and advancement. If you are passionate about software engineering, enjoy developing complex systems, and want to grow in a global and innovative environment… SAY YES AND GROW WITH AYES!

Accelerant is seeking a Product Area Lead Architect to provide hands on, operational architectural leadership for our Insights, Analytics & Workflows product area. This role operates at a Principal level, influencing architecture and execution across multiple autonomous product teams. You will work closely with team architects, engineering managers, product managers, and Data Science teams to ensure teams move fast without fragmenting the architecture. This is not an ivory tower architecture role. It is highly collaborative, pragmatic, and operational, focused on identifying architectural gaps, managing dependencies, and enabling teams to execute confidently within a shared architectural framework. You will champion standards based architecture, leveraging web standards, open protocols, and industry conventions to build interoperable, accessible, and future proof systems. Key Responsibilities Operational Architectural Leadership • Ensure architectural alignment across product teams, partnering closely with team architects and engineering managers, • Proactively identify architectural gaps, technical debt, and quality risks; drive resolution through collaboration and influence, • Manage cross team technical dependencies to enable independent, parallel execution, • Translate architectural strategy into clear, actionable guidance that teams can apply sprint by sprint Cross Team Coordination & Alignment • Facilitate architectural discussions and resolve technical conflicts across teams through principled, pragmatic decision making, • Act as an escalation point for complex cross team technical challenges, • Ensure architectural decisions are clearly communicated, understood, and consistently applied Design and Innovation • Define and maintain architectural patterns across backend services, APIs, data platforms, and front end systems, • Design scalable, resilient systems for analytics, workflow orchestration, and intelligence features, • Guide decomposition of legacy systems into well defined services and domains, • Evaluate technologies and data stores, favoring open standards and long term maintainability, • Architect distributed systems with focus on reliability, fault tolerance, and scalability Standards & Governance • Establish API design standards ensuring consistency, discoverability, and ease of integration, • Define front end standards prioritizing web platform capabilities, progressive enhancement, and accessibility (WCAG), • Create governance frameworks that balance standardization with team autonomy, • Drive adoption of industry standards (OAuth2, OpenID Connect, OpenTelemetry, JSON:API) over proprietary alternatives Technical Leadership • Partner with engineering teams on design reviews, PR reviews, and implementation guidance, • Establish standards for cross cutting concerns: API versioning, auth, observability, error handling, and resiliency patterns, • Collaborate with platform and DevOps teams on containerization, CI/CD, and cloud native deployment, • Produce clear technical design documentation that drives alignment and knowledge sharing, • Mentor engineers and raise the overall architectural maturity of the organization GenAI, ML & AI Architecture • Architect customer facing GenAI features using LLMs, including RAG pipelines, prompt engineering frameworks, and conversational AI interfaces, • Define patterns for ML model integration: serving endpoints, API contracts, versioning, and health monitoring, • Partner with Data Science to translate models into production grade features with clear integration contracts and deployment workflows, • Establish standards for responsible AI, including evaluation criteria, privacy guardrails, and LLM output validation AI Transformation & Productivity Leadership • Scale AI driven development workflows across teams, ensuring engineers leverage AI coding tools effectively, • Guide team architects and coach senior engineers on using AI tools to enhance productivity and code quality, • Work hands on with teams to identify opportunities for AI to solve operational challenges and improve velocity Solution Evaluation & Quality Assurance • Evaluate and recommend technologies to enhance capabilities across analytics, workflow, and intelligence domains, • Ensure architectural integrity through code reviews, assessments, and continuous monitoring, • Proactively identify technical risks and devise strategies for reliability, security, and performance Technical Requirements Full Stack SaaS Architecture: • Strong proficiency in modern JavaScript/TypeScript and Node.js, • Deep knowledge of web platform fundamentals and browser native capabilities, • Experience designing and evolving well structured APIs for platform integrations Architectural & Systems Thinking: • Deep knowledge of architecture principles, design patterns, and distributed systems, • Proven ability to make pragmatic tradeoffs in complex, evolving systems, • Experience in cloud native environments, preferably AWS AI Enabled Engineering: • Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, Claude, etc.), • Understanding of AI applications for development productivity and code quality improvement Qualifications • 8 to 12+ years in software engineering and architecture roles, • Proven experience operating across multiple agile teams in an architectural leadership capacity, • Track record of managing cross team dependencies and bridging architectural vision with day to day execution, • Proven ability to drive AI adoption and transformation within engineering organizations, • Excellent communication and facilitation skills with ability to align work across distributed teams, • Pragmatic, operational mindset with strong problem solving abilities, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

!! IMMEDIATE JOINERS !! Senior Data Engineer / Junior Data Scientist (Python & SQL) Location: London Work mode: On-site Salary: 35K-45K PA Job Type: Full-time, Entry-level *UK based candidates ONLY * What You’ll Do (Responsibilities) • Data Exploration: Clean, transform, and analyse large datasets to identify trends and patterns., • Model Building: Assist in developing and testing machine learning models (Regression, Classification, etc.) using Python., • Database Management: Write and optimize SQL queries to extract data from various relational databases., • Visualization: Create clear and compelling dashboards (Tableau, Power BI, or Matplotlib) to communicate findings to stakeholders., • Collaboration: Partner with engineering and product teams to understand data needs and ensure data integrity. Technical Skills: · Strong programming skills in Python with expertise in ML/Al libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras). · Experience working with large datasets and using tools such as Pandas, NumPy, and Matplotlib. · Proficiency with cloud platforms like AWS, Azure, or Google Cloud Platform (GP). · Familiarity with big data technologies like Hadoop, Spark, or Kafka · Experience with SQL/NoSQL databases and data pipelines. · Experience with containerization and orchestration (e.g., Docker, Kubernetes). Preferred Qualifications: · Hands-on experience in productionizing machine learning models. · Prior experience in building recommendation systems, predictive analytics, or anomaly detection models. · Contributions to open-source ML/Al projects. · Knowledge in Natural Language Processing (NLP), computer vision, or reinforcement learning. · Strong mathematics and statistics background. · Excellent problem-solving and critical thinking abilities. · Ability to work independently and collaboratively within a team. · Strong communication skills to explain technical details to non-technical stakeholders. Education: Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field (or equivalent bootcamp experience).

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

CUDA/GPU Systems Engineer (ML Infra) Remote We’re partnering with a well-funded AI company building advanced multi-agent systems. They’re looking for engineers with experience working close to the GPU layer. This is a CUDA-heavy role focused on improving the performance of large-scale machine learning systems. You’ll be solving problems like: • Optimising CUDA kernels for ML workloads, • Improving GPU utilisation and memory efficiency, • Profiling and debugging GPU bottlenecks, • Accelerating training and inference pipelines, • Working alongside ML researchers building multi-agent AI systems Essentials: • Strong CUDA / GPU programming experience, • Experience writing or optimising CUDA kernels, • Strong C++ and/or Python, • Experience working with machine learning systems, • Experience could come from LLMs, computer vision, speech, recommendation systems, or other ML domains. Nice to have: • PyTorch / TensorFlow internals, • Distributed training (NCCL, DeepSpeed, Megatron, Horovod, etc), • GPU performance engineering or HPC background

A startup incubator in the UK is seeking ambitious entrepreneurs to build and scale their own startups, with the potential for a salary or funding of up to €500k.You will receive hands-on support from successful founders and access to a professional network.Responsibilities include owning your sta

You will own, build, and run your startup in fields such as Computer Vision.

The Computer Vision online program from the Executive Education division of Carnegie Mellon University's School of Computer Science is specifically designed to cater to this. Emeritus is seeking a Program Facilitator for the Carnegie Mellon University Program Computer Vision: Master the core compute

We are hiring a founding computer vision engineer. Significant hands-on experience building deployed computer vision pipelines. Own the real-time vision system for detecting small drones, working with other CV engineers.

The Computer Vision online program from the Executive Education division of Carnegie Mellon University’s School of Computer Science. Computer Vision: Master the core computer vision skills advancing robotics and automation. Computer vision, MLAI, robotics or any related field.

As a Computer Vision Engineer in the Tracking team, you’ll play a key role in building cutting-edge tracking products used in sports like Tennis, Baseball, and Cricket. Introduction: Hi, I’m Kieran Smith, Computer Vision Engineering Discipline Lead at Hawk-Eye Innovations. We’re looking for a

A leading research firm in Greater London is looking for a PhD Computer Vision Scientist to join its top-tier research team.

A leading biometric solutions company in Greater London is seeking a Computer Vision Research Engineer. Ideal candidates should have a strong background in Machine Learning and Computer Vision, alongside excellent communication skills.

This role involves leading the ML roadmap, building a high-performance team, and deploying advanced computer vision models.

You’re likely an Applied AI Engineer, Computer Vision Engineer, or similar, and you:. Background in Computer Vision (YOLO, ResNET, EfficientNET etc). Have built multimodal or vision based agents using images and video, not just text.

You will develop computer vision models and pipelines that leverage and extend the latest state‑of‑the‑art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real‑world scenarios. PhD in computer vision, machine learni

As a Computer Vision and AI Intern, you will work on developing innovative AI-driven computer vision solutions. Comfortable collaborating with engineering teams to align computer vision solutions with broader AI systems. Assist in managing data pipelines for computer vision applications, ensuring cl

You will develop end-to-end pipelines that transform images and video into structured, reliable observations by combining modern vision models with multimodal reasoning and contextual signals (for example: domain metadata, documents, and sensor inputs)This role blends applied research with strong so

Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid. Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid. In this role, you’ll lead impactful projects using cutting-edge computer vision and deep learning at

We are looking for an experienced and confident Computer Vision Engineer to join our growing team, supporting our on-going development in autonomous vision-based satellite navigation solutions. Strong experience in Computer Vision and image processing.

A small Biotech firm in Oxfordshire is looking for a Computer Vision Engineer to join their team on a permanent basis. This role requires strong experience in computer vision, proficiency in Python, and the ability to lead technical projects.

This role would suit a full-stack computer vision engineer comfortable building front-end labelling tools and training models. The work of the computer vision team will be critical to making electronics manufacturing economically viable in the USA and Europe. Train vision models using the labelled d

Computer Vision Engineer, London. Respected client is seeking a C++ Computer Vision AI Engineer with strong understanding of internal models and inference engines running on devices in real time.

Computer Vision, Deep Learning, PyTorch, Object Detection, Segmentation, Tracking, Video Understanding, Vision-Language Models (VLM), Multimodal AI, Open-Vocabulary, Grounding, Sensor Fusion, Data Curation, Model Evaluation, Benchmarking, Cloud ML Pipelines, Batch Processing, MLOps, Observability. S

A technology company in Greater London is seeking a skilled Computer Vision Engineer to bridge machine learning research and production.

A leading AI technology company in London is looking for a Computer Vision Engineer to develop state-of-the-art models within the YOLO ecosystem. The role requires 5+ years of experience in Computer Vision and Deep Learning, with expert proficiency in Python and PyTorch.

A leading sports technology company based in the UK is seeking a Computer Vision Engineer to join their Tracking team.

This role leads high-impact initiatives using advanced computer vision and deep learning technologies at scale—powering sports experiences from elite organizations to local communities. Classical and deep learning-based computer vision. Machine Learning Engineering Manager | Computer Vision | Deep

As a Computer Vision & AI Intern based in Bali, you will work with the team to design and implement computer vision and AI systems, focusing on enhancing the visual capabilities of our products. Expertise in integrating computer vision algorithms with hardware systems, focusing on sensor technologie

A leading technology company in the UK is seeking a seasoned data scientist to design and implement advanced machine learning algorithms.The ideal candidate has a strong background in physics and extensive experience in data analytics.Responsibilities include developing algorithms for optical metrol

A cutting-edge technology company in Greater London is seeking a Computer Vision Engineer Intern. Ideal candidates are students in Computer Science or Robotics and possess strong skills in C++ and Python.

You'll work hands-on with generative models and computer vision systems, shipping production-ready features that elevate user engagement and creative expression. Enhance and scale our image and video generation pipelines using state-of-the-art computer vision and generative modeling techniques. You'

A technology company in the UK is seeking a Senior Computer Vision Engineer to lead model deployment and optimisation in production settings. This hands-on position will focus on real-time computer vision, including optimising models and managing video pipelines within performance constraints.

We’re hiring a Principal Computer Vision & AI Engineer to drive next‑generation AI solutions for large‑scale 3D reality data, leading a team to shape the AI strategy while delivering cutting‑edge computer vision technologies for digital twin applications. Expertise in deep learning, computer

A technology company in Greater London seeks a Computer Vision Research Engineer to join their Biometric Platform team. The ideal candidate will have strong proficiency in Machine Learning and Computer Vision.

A leading technology company in London is seeking a Staff Computer Vision Engineer to work on advanced machine learning and computer vision technologies for AR devices. Candidates should have a Bachelor's degree or higher in a relevant field, significant experience in computer vision, and strong pro

A cutting-edge technology company in London is looking for an Applied Scientist II to innovate in machine learning related to digital identities.The candidate will engage in advanced research addressing deepfake detection and fraud detection, publish findings, and implement bias-mitigation strategie

A leading dental technology firm in the United Kingdom is seeking an Engineering Manager in Computer Vision / Machine Learning.

Have strong experience in machine learning and computer vision. Train and benchmark large‑scale vision‑language models for document extraction.

A technology firm is hiring a Senior Software Engineer specializing in Computer Vision and Multimodal AI. Candidates should have a Bachelor's degree in Computer Science or related field and relevant experience in the industry.

Strong experience in computer vision (PyTorch, TensorFlow, OpenCV). Our client is a small Biotech firm who are looking to hire a Computer Vision Engineer on a permanent basis. Desirable to have a Degree in engineering, physics, computer science, or a related field.

Computer Vision and Deep Learning. This full-time Computer Vision Engineer position is based onsite in our brand-new Ultralytics office in London, UK. As a Computer Vision Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class, open-source AI models.

Design, develop, and maintain high-performance software development kits (SDKs) to expose computer vision capabilities to end-users and internal products. We are seeking a skilled and motivated Computer Vision Engineer to join our team.

We are seeking a PhD Computer Vision Scientist with deep expertise in object detection, tracking, or related visual perception tasks. PhD in Computer Vision, Machine Learning, Robotics, or a related field.

A leading technology company is seeking a 3D Computer Vision Engineer in London to lead machine learning systems for digital human avatar generation.

A leading software company is hiring a Senior Software Engineer focused on Computer Vision and Multimodal AI to develop robust systems for perception and understanding.