7 of 7 Artificial Intelligence Engineer Jobs in Cambridge

Job Title: AI Research Engineer Location: Cambridge, UK Salary: Competitive, depending on experience Job Type: Full-time | Permanent Department: Artificial Intelligence/Research & Development Role Overview We are looking for a talented and driven AI Research Engineer to join our growing team in Cambridge. … cutting-edge research and development projects, contributing to both theoretical innovation and practical deployment. Education Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, or a related technical field. Minimum academic requirement: 2:1 or above in undergraduate degree and AAB … , NLP, Computer Vision, Deep Learning, PyTorch, TensorFlow, LLMs, Transformers, GANs, Reinforcement Learning, Data Science, Python, Cambridge AI Jobs, Applied AI, Research Scientist, Artificial Intelligence, ML Research, AI Innovation More ❯

Deep Learning AI Engineer/Bioinformatics - Expression of Interest page is loaded Deep Learning AI Engineer/Bioinformatics - Expression of Interest Apply locations England - Cambridge England - Remote time type Full time posted on Posted 30+ Days Ago job requisition id 38189-JOB What if the work … quantities of genomic data being generated by Illumina in collaboration with our partners worldwide represents a major opportunity to develop novel data-driven and artificial intelligence methods to extract clinically actionable information from the genome, and apply it towards improving human health. To accelerate the adoption of clinical More ❯

Want a fast-paced, rewarding career at a fast-growing, global tech company? Luminance is a young AI company that is growing rapidly: today, Luminance's technology is helping over 700 customers in 70 countries globally. With ambitious growth plans More ❯

embedding data and AI into our technology stack in new and innovative ways. We are looking for an experienced and passionate Senior Data & AI Engineer to partner with and support our company by addressing their data management challenges and help us implement an easy-to-use, compliant data … teams. You will be working with data from cutting edge, novel biological assays, and experiments at never before seen scales. As Senior Data & AI Engineer you will apply the latest technologies in highly translational biotech research where you will be directly contributing to cutting edge discoveries. You will … implement robust data infrastructure and ensure seamless data flow across systems and AI-compatibility. Enable the use of AI-driven data analytics and business intelligence tools to derive valuable insights from data. Promote data-driven decision-making across the organisation. Operationalise ML, GenAI & RAG - strengthen our LLM-based assistant More ❯

team At bit.bio, we're embedding data and AI into our technology stack in innovative ways. We are seeking an experienced Senior Data & AI Engineer to support our data management challenges and help implement a compliant, user-friendly data and AI platform. You will work with data from More ❯

do so we model viral evolution using large scale datasets and emerging AIML techniques. We are looking for a Lead AI/ML Engineer to help us make this vision a reality. Competitive candidates will have a track record in developing SOTA deep learning models for solving challenging … in CS and biological sciences or equivalent work history will be highly competitive. Experienced in developing deep learning models. A scientist, machine learning engineer, and software engineer with expertise and depth in at least one area. Experience with standard deep learning algorithms and model architectures. Familiarity More ❯

infectious diseases. We model viral evolution using large datasets and emerging AI/ML techniques. We are seeking a Senior AI/ML Engineer to help us realize this vision. Ideal candidates will have a proven track record in developing state-of-the-art deep learning models for … and biological sciences or equivalent experience are highly competitive. Experience developing deep learning models. Expertise in at least one area: scientist, machine learning engineer, or software engineer. Knowledge of standard deep learning algorithms and architectures. Familiarity with current deep learning literature and the mathematics of machine learning. Understanding More ❯