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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

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

Senior / Staff Machine Learning Engineer - Gaming London – Hybrid Competitive Salary + Benefits About the Role Our client is a global, technology-led organisation operating at the intersection of machine learning, computer vision, and interactive entertainment. They are investing heavily in advanced R&D to transform how quality assurance is done at scale. This role sits within a research-focused engineering team developing cutting-edge anomaly and glitch detection technology used across multiple stages of product development — from early builds through to large-scale testing and certification. The work has real-world impact, improving product quality for millions of end users globally. You’ll operate at Senior / Staff level, shaping technical direction, driving innovation, and contributing to both applied research and production-ready systems. Key Responsibilities • Designing, developing, and deploying novel machine learning models for anomaly and glitch detection, • Leading research workstreams and contributing to publications, patents, and internal knowledge sharing, • Working closely with cross-functional teams to productionise ML systems at scale, • Mentoring and guiding junior engineers and researchers, • Communicating complex technical concepts clearly to both technical and non-technical stakeholders, • Prototyping new ideas quickly to evaluate performance and feasibility Your work will focus on delivering high-impact ML solutions, including: • Anomaly detection applied to video, gameplay, and QA data, • Computer vision and video stream analysis, • Research-led ML systems transitioning into real-world production environments, • Scalable, high-performance ML pipelines What We’re Looking For • Strong academic background (Master’s or PhD preferred, or equivalent experience), • 5+ years’ experience delivering ML solutions from research through to deployment, • Strong Python skills and experience with PyTorch, TensorFlow, or similar frameworks, • Deep understanding of machine learning, data analysis, and statistical modelling, • Experience in anomaly detection, computer vision, or applied ML research, • A track record (or strong interest) in publishing, patents, or conference participation, • Strong communication skills and a collaborative mindset, • An interest in gaming or interactive technology is highly beneficial If this role looks of interest, please apply here!

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.

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 Research Engineer. Proov is looking for a Computer Vision Research Engineer to join our Biometric Platform team.

A leading security solutions company based in London is seeking a Senior Applied Scientist.In this role, you will design and train machine learning solutions, focusing on deepfake detection and bias mitigation.Candidates should have strong experience in machine learning, Python, and PyTorch.This pos

This platform is powered by a Computer Vision engine that creatively leverages synthetic data, large vision models, and smart pipelines. PhD or equivalent experience in Computer Vision, Machine Learning, or a related field. Deep understanding of modern Computer Vision architectures, huge.

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 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. W

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.

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. Principal Engineer, Computer Vision

Classical and deep learning-based computer vision. Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London, Hybrid. Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London, Hybrid.

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 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.

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 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.

You'll work hands-on with generative models and computer vision systems, shipping production-ready features that elevate user engagement and creative expression. Computer Vision, Diffusion, GAN, LoRA. Computer Vision Engineer - Fully Remote (Global).

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 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.

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

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

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

My Client is a specialist technology company scaling a real-time AI platform and is seeking a Senior Computer Vision Engineer to own model deployment and optimisation in production environments. Hands-on role focused on real-time computer vision, optimising models and video pipelines under performan

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.

Direct message the job poster from microTECH Global LTD.Location - London / Hybrid (3 days onsite, 2 days remote).MicroTECH Global is seeking unique individuals for a distinctive technology.Are you a Research Engineering Manager passionate about technology and leading cutting-edge research that shap

Job Title: 3D Computer Vision Engineer. Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience in 3D graphics or ML systems.

Principal Engineer - Computer Vision / 3D Reconstruction. Master’s or PhD in Computer Vision, Graphics, or related field.

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.

A biometric solutions company in London seeks a Computer Vision Engineer to enhance biometric systems. Ideal candidates are skilled in Machine Learning and Computer Vision, possess strong communication skills, and thrive in collaborative environments.

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

An engineering consultancy in the UK is offering a 1-year placement aimed at Master's students in AI, ML, or related fields.You will engage in innovative projects using cutting-edge technology to solve real-world challenges, alongside a dynamic team.The role includes utilizing methodologies for deve

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.

As a Computer Vision Engineer Intern, you’ll join the Perception Team to design and implement algorithms that fuse data from cameras, LiDAR, radar, and event sensors, turning research into flight‑ready systems for space and defense missions. Collaborate with SPAICE’s Computer Vision scientists

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