You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: - Developing, training, and validating state-of-the-art models for a variety of computer vision tasks, including detection, segmentation, and classification.
You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards.
You will join the exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.
You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast.
Overview Direct message the job poster from Generative We are on a mission to redefine drug development by building the first foundation model of microbiome-drug interactions. We're looking for a founding Principal Machine Learning Engineer a hands-on technical leader ready to architect core AI systems and write production code daily. What you'll do: - Architect cloud infrastructure for...
Summary - Responsibility: Plan and execute Valink's data strategy to build predictive models for drug discovery and drug positioning - Salary: Competitive salary at Director or Principal level, depending on experience - Starting date: Jan-Feb 2026 - Location: White City, London, UK About Us Valink Therapeutics is a spinout from the University of Oxford with a mission to revolutionise...
You will be working on a team in a fast-paced environment where you will have the opportunity to influence the design and architecture of our products.
You will play a pivotal role in designing, implementing, and scaling foundational AI models and infrastructure for multi‐omics at massive scale. Your work will directly drive breakthroughs in scientific understanding and contribute to transformative applications in medicine and biology.
You will also play a key part in achieving production targets, upholding product quality, and contributing to continuous improvement initiatives. Hours of work for this role are Sunday - Thursday night 9.30pm - 6.00am. Earn up to £37,500 Main Responsibilities: Operate machinery effectively to support the production of high-quality products.
About Us Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real‐time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible — it's how we expand access and ensure innovation benefits the many, not the few. We believe...
Principal Machine Learning Engineer, Advanced Network Orchestration We are seeking a highly experienced Machine Learning Engineer for a hybrid role focused on advanced temporospatial networking and resource management. This role involves applying cutting‐edge ML research to solve critical network orchestration challenges. If you excel at translating novel algorithms into robust, high‐impact...
Staff Machine Learning Engineer – Waymo Join to apply for the Staff Machine Learning Engineer role at Waymo. Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced DriverTM—to improve access to mobility...
You will play a pivotal role in shaping our platform's future by leading new projects and enhancing existing functionalities.
A leading cybersecurity firm in the UK is seeking a Sales Specialist Leader to drive the Machine Identity Security business. This role requires building a successful sales team, executing sales strategies, and developing key relationships to drive growth. Candidates should have strong enterprise sales experience and a proven ability to manage diverse teams. Excellent communication skills and a...
You will guide the delivery of real world Machine Learning systems across the business and help establish a strong engineering culture across our AI organisation. This role is suited to someone who is confident in both leadership and technical depth, with the enthusiasm to champion the adoption of AI across the group.
Do you thrive on uncovering patterns in complexity and transforming raw data into intelligent solutions that redefine what's possible? Coba IT is partnering with a leading organisation to recruit an experienced AI / Machine Learning Engineer. This is your chance to work on cutting‐edge projects that harness artificial intelligence and machine learning to drive innovation and deliver impactful...
You will have the opportunity to contribute to our proprietary AI model research & development through rapid prototyping scalable infrastructure and production‐quality implementations and to research papers in top tier academic conferences and journals.
You will design and implement robust scalable systems for training and evaluating large language models.
You will work in a highly collaborative environment with ML scientists and software engineers to deliver impactful solutions for the advertising domain.
You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Developing, training, and validating state-of-the-art models for a variety of computer vision tasks , including detection, segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework.
You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards.
You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: - Developing, training, and validating state-of-the-art models for a variety of computer vision tasks, including detection, segmentation, and classification.