proficient software engineer in a least one programming language (Python or other e.g. Rust, Go, Java) • You have, hands-on experience with AI frameworks and tools (e.g., TensorFlow, PyTorch, Jax) • You have high technical engineering competence. This means being able to design complex software and make it usable in production • You have a high scientific track record in a More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Arm Limited
facing developer workflows. Experience developing for and on Arm architectures. Experience profiling or debugging ML workloads. Experience designing, training, optimizing, and deploying machine learning models using frameworks like PyTorch, JAX, LiteRT or HuggingFace Transformers. Experience collaborating closely with product or design teams. In Return: Our team offers an inclusive and highly collaborative environment, with work that spans a wide More ❯
overall business objectives. You may be a good fit if you have: Extremely strong software engineering skills. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. Deep experience in building and leading a product-centric organisation. Direct experience working as part of a team building Large Language Models. Released multiple features More ❯
choice of loss functions, regularization techniques, model architecture, optimizer, learning rate schedules, etc. Thorough understanding of Python tools and libraries, keen to offer advice on best practices Experience using Jax, Tensorflow or similar ML frameworks a huge plus Generous benefits package, including physical & mental health benefits, excellent holiday entitlement, significant parental leave, retirement benefits, private on-site gym Focus More ❯
ideally including transformers, diffusion models, or multimodal architectures. Experience applying ML to large multimodal biological datasets (genomics, transcriptomics, epigenomics, proteomics, single-cell data). Exceptional coding skills (Python, PyTorch, JAX, TensorFlow) and familiarity with scalable training frameworks. Experience managing large-scale distributed training across GPUs/TPUs. Background in generative AI, large language models, mechanistic interpretability, or reinforcement learning. More ❯
at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. … or engineering roles. Strong expertise in Machine Learning and Deep Learning, with exposure to Reinforcement Learning as a plus. Proficiency in Python and modern ML libraries (e.g., TensorFlow, PyTorch, JAX, or Keras). Experience with version control systems (GitHub, GitLab) and knowledge of clean, maintainable coding practices. Familiarity with CI/CD pipelines for automating ML workflows. Ability to More ❯
at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. … language processing and computer vision) in industry. Master, PhD degree or equivalent experience in applied mathematics, computer science, bioinformatics or related scientific fields. Proficiency in software engineering (Python, Pytorch, JAX, Docker, Linux). A willingness to learn and develop skills in computational genomics including building an understanding of biological concepts related to cancer. Excellent communication skills in English. Appropriate More ❯
and compute resource utilization. Skilled in designing and implementing scalable data pipelines capable of rapid ingestion, transformation, and processing. Deep expertise in modern ML frameworks and tools (e.g., PyTorch, JAX, TensorFlow), and familiarity with state-of-the-art training and inference workflows. Skilled in clearly articulating complex ideas, effectively communicating why particular approaches succeed or fail, and providing insightful More ❯
NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR with specific focus on agent systems, tool use, or multi-agent coordination. Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ) Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Excellent communication skills to report and present research findings and developments clearly … code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. You will enjoy: Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data More ❯
e.g., NeurIPS, ICML, ICLR, ACL,EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agentcoordination Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ) Excellent communication skills to report and present research findings anddevelopments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmicsolutions to … popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, MS Azure, LambdaLabs or Google Cloud. You will enjoy: Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data More ❯
As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you More ❯
inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar; Experience with multi-GPU and distributed training at scale; A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their full … physics, or computational biology, or equivalent experience; Experience in developing machine learning models; Very strong programming skills, including experience with Python and deep learning libraries such as PyTorch or JAX; Experience in large-scale distributed optimization of machine learning models across multiple GPUs and nodes. Preferred Qualifications - Familiarity with biological data formats, concepts, and computational models; Experience in cell More ❯
Join to apply for the Machine Learning Engineer role at Graphcore Join to apply for the Machine Learning Engineer role at Graphcore Get AI-powered advice on this job and more exclusive features. As a Machine Learning Engineer in the More ❯
knowledge of HPC and ML systems. Good understanding of GPU and other AI accelerator architectures. Strong knowledge of data structures and algorithms. Experience with deep learning ML frameworks (preferably JAX). Nice to have: Knowledge of XLA, Triton, Pallas, CUDA or similar accelerator DSLs/compiler stacks. Experience with distributed training and data/model sharding strategies. Knowledge of More ❯
may be a good fit if you: Have 5+ years of industry-related experience Are proficient in Python and have experience with deep learning frameworks such as PyTorch or Jax Have a strong software engineering background and are interested in working closely with researchers and other engineers Enjoy pair programming (we love to pair!) Care about code quality, testing … file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf (Optional) Personal Preferences * How do you pronounce your name? Website Publications (e.g. Google Scholar) URL Other Useful URLs (e.g. Blog Posts) Are you open to working in-person in one of our offices 25% of the time? * Select... Of the locations listed More ❯
About Us Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With More ❯
Build the Future of AI with Optical Compute We're pioneering optical processors to train and run inference on large-scale AI models. Join a team of highly motivated and skilled engineers dedicated to rapid innovation and high-impact outcomes. More ❯
Build the Future of AI with Optical Compute We're pioneering optical processors to train and run inference on large-scale AI models. Join a team of highly motivated and skilled engineers dedicated to rapid innovation and high-impact outcomes. More ❯
Build the Future of AI with Optical Compute We're pioneering optical processors to train and run inference on large-scale AI models. Join a team of highly motivated and skilled engineers dedicated to rapid innovation and high-impact outcomes. More ❯
Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropics mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is More ❯
The world will be unrecognisable in 5 years. Machine learning models are driving our cars , testing our eyesight , detecting our cancer , giving sight to the blind , giving speech to the mute , and dictating what we consume, enjoy, and think . More ❯
The world will be unrecognisable in 5 years. Machine learning models are driving our cars , testing our eyesight , detecting our cancer , giving sight to the blind , giving speech to the mute , and dictating what we consume, enjoy, and think . More ❯
at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. … tools, and hardware optimisation techniques Experience with distributed training frameworks (Ray, Dask, PyTorch Lightning, etc.) Expertise with Python and/or C/C++ Development with machine learning frameworks (JAX, Tensorflow, PyTorch etc.) Passion for profiling, identifying bottlenecks, and delivering efficient solutions. Highly Desirable Track record of successfully scaling ML models. Experience writing custom CUDA kernels or XLA operations. More ❯
At UnlikelyAI, we're looking for a visionary Staff Applied Scientist to play a key leadership role in our Applied Science team and across the company. This is a high-impact individual contributor position with mentoring and coaching responsibilities - ideal More ❯
At UnlikelyAI, we're looking for a Senior Applied Scientist to join our Applied Science team. This is a high-impact individual contributor position. You'll help drive the end-to-end lifecycle of projects: from identifying opportunities in literature More ❯
