251 to 275 of 374 Permanent PyTorch Jobs

improve performance. Stay updated on ML research to guide strategy. Requirements: Master's or PhD in a relevant field with strong ML foundations. Training ML models for production use. PyTorch or TensorFlow. Handling large datasets (multi-terabyte). Familiarity with Linux, version control, and CI/CD systems. Knowledge of model compression (e.g., reduced precision). More ❯

detection , phishing , or abuse detection Proven ability to design and deploy full-stack AI pipelines in production Strong experience in backend engineering , ideally with Go and ML frameworks like PyTorch or TensorFlow Familiarity with MLOps , cloud infrastructure (AWS) , Kubernetes , and Terraform Experience evaluating and deploying models (including anomaly detection, RAG, and clustering) in noisy, evolving data environments Nice to Have More ❯

Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many different technologies. Desirable More ❯

and evaluation workflows Collaborating with researchers and clinicians to translate findings into production-grade systems Contributing to peer-reviewed research, publications, and regulatory submissions 🧠 Ideal Profile Strong experience with PyTorch or TensorFlow Expertise in medical imaging (CBCT, MRI, CT, ultrasound, etc.) PhD in AI, Biomedical Engineering, Computer Vision, or related field (or MSc + significant experience) Solid grasp of image More ❯

solutions What We’re Looking For Strong Python experience Linux development background Hands-on knowledge of Docker (Kubernetes desirable) Familiarity with AI/ML frameworks such as TensorFlow or PyTorch Experience building scalable systems and microservice architectures Ability to work in dynamic, fast-paced environments with multiple priorities Eligible for, or holding, SC clearance Why Join? Work on products that More ❯

in software design patterns and data structures Familiar with Git, Jupyter, command line, and agile workflows Experience with: React.js Node Python CSS Typescript Unit Testing AI/ML: LangChain, PyTorch, TensorFlow (basic understanding) Bonus: Interest in ethical AI, UX design, and CI/CD optimization Authorized to work in the UK without visa sponsorship Remote Setup Requirements: Reliable high-speed More ❯

inference stack Enhance system reliability and observability, and manage system outages Research and implement optimizations for LLM inference Qualifications Experience with ML systems and deep learning frameworks such as PyTorch, TensorFlow, ONNX Knowledge of LLM architectures and inference optimization techniques (e.g., batching, quantization) Experience deploying scalable, reliable, real-time model serving systems (Optional) GPU architecture understanding or CUDA programming experience More ❯

even better Ideally experience with de novo transcriptome assembly, Machine Learning and/or Artificial Intelligence, or experience mining genomic data Experience with Python and libraries such as SciPy, Pytorch, NumPy, Pandas etc. What Next? If you'd like to hear more about this exciting Bioinformatician position, just give me a call or drop me an email, I'd love More ❯

such as MLflow Proficient in Python and experienced with Linux systems Familiar with AWS services such as Cognito, S3, EC2 and Lambda Experience working with ML frameworks such as PyTorch or Lightning Capable of designing and delivering ML Ops solutions across various platforms Desirable Skills Background in DevOps with experience in CI systems such as Jenkins Familiarity with infrastructure as More ❯

such as MLflow Proficient in Python and experienced with Linux systems Familiar with AWS services such as Cognito, S3, EC2 and Lambda Experience working with ML frameworks such as PyTorch or Lightning Capable of designing and delivering ML Ops solutions across various platforms Desirable Skills Background in DevOps with experience in CI systems such as Jenkins Familiarity with infrastructure as More ❯

community to inform product development. Requirements Strong proficiency in Python. Solid understanding of machine learning concepts, embeddings, and vector search. Experience with at least one modern ML framework (e.g., PyTorch, TensorFlow, Hugging Face). Excellent communication skills; ability to explain technical topics to diverse audiences. Prior experience contributing to open-source projects or engaging with developer communities. Comfortable presenting and More ❯

Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many different technologies. Desirable More ❯

highly 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 ❯

Python, Ansible, or similar technologies. Experience leveraging AI/ML-driven tools for network performance optimization, anomaly detection, and predictive analytics. Understanding of AI frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and their application in network automation and monitoring. Experience with telemetry and observability frameworks (e.g., Prometheus, Grafana) for real-time network monitoring and troubleshooting. Experience : Minimum of More ❯

including self supervised pre training, Vision Transformers, or vector quantization methods. Hands on work with large medical or scientific imaging datasets and establishing evaluation tasks and metrics. Proficiency in PyTorch or JAX and experience running distributed training on GPUs or cloud HPC resources. Strong software engineering habits: version control, testing, continuous integration, code review, and containerization. Clear communication and ability More ❯

will also consider exceptional candidates with a proven record of success in online data science competitions, such as Kaggle Strong object-oriented programming skills and experience working with Python, PyTorch and NumPy are desirable Experience in one or more advanced optimisation methods, modern ML techniques, HPC, profiling, model inference; you dont need to have all of the above Excellent ML More ❯

with a track record of successfully implementing and deploying AI models in production environments. Proficiency in programming languages such as Python, C++ and deep expertise with frameworks such as PyTorch/Jax Strong understanding of deep learning fundamentals, including neural network architectures, optimization techniques, and evaluation metrics. Experience in distributed training and inference of large scale AI models on thousands More ❯

one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning Experience with the major deep learning frameworks: PyTorch or TensorFlow Strong programming skills in Python or C++ Preferred Qualifications: Experience developing real-time software for mobile applications Knowledge of computer graphics foundations Track record of successful projects in More ❯

experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine More ❯

delivering high-impact work without direct management responsibilities. Experience mentoring and coaching colleagues, offering guidance on both technical and professional development. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine More ❯

one or more Data Science or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance Outstanding More ❯

and software engineering fundamentals. BS in Robotics, Computer Science, Mechatronics, Mathematics, Mechanical Engineering, or related field. Strong DNN/ML background and experience in standard domain libraries (numpy, opencv, pytorch, etc). Strong C++ or Rust experience. Experience deploying to real-time robotics systems. Eligible to obtain and maintain an active UK Security Clearance. PREFERRED QUALIFICATIONS Experience processing sensor measurements More ❯

of deployed edge computers). infrastructure management (we use Salt). monitoring (we use Grafana). video processing & streaming (we use Gstreamer). experience interfacing ML models (we use PyTorch). High Intrinsic motivation to success and ability to work hard. Computer Science Degree from a top ranked University. More ❯

of deployed edge computers). infrastructure management (we use Salt). monitoring (we use Grafana). video processing & streaming (we use Gstreamer). experience interfacing ML models (we use PyTorch). High Intrinsic motivation to success and ability to work hard. Computer Science Degree from a top ranked University. More ❯

to create tools to enhance productivity. This role will be key to us delivering as we expand further in both the UK and the US. Our Tech Stack Python Pytorch FastAPI AWS Docker Kubernetes ArgoCD What you'll be doing/impact on objectives Develop key services that power our underwriting capabilities Deploy, optimise, update and maintain our underwriting models More ❯