to participate in the upside of an ultra-growth venture. Have fun. Apply if: You have experience with our stack: Python, LlamaIndex/LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. You have hands-on experience working with LLMs, RAG architectures, NLP, or applying Machine Learning More ❯
scale globally, guarantee performance, and enable breakthrough innovations. Use AWS AI/ML services (e.g., Amazon Bedrock), ML platforms (SageMaker), and frameworks (e.g., MXNet, PyTorch, SparkML, scikit-learn) to help our customers build AI/ML solutions. Work with customers and partners, guiding them through planning, prioritization, and delivery of More ❯
define and execute an AI strategy, aligning technical roadmaps with business goals while guiding cross-functional teams. Hands-on technical skills: Proficiency in Python, Pytorch, Diffusers, and distributed computing frameworks. Strong communication & collaboration: Ability to convey complex AI concepts to technical and non-technical stakeholders, driving alignment and adoption across More ❯
Machine Learning Ops lifecycle, tools, and frameworks Nice to have: Experience supporting machine learning research activities Familiarity with python-based ML frameworks like TensorFlow, PyTorch, or JAX Experience with Google Cloud Platform (GCP) Culture and values What does it take to be successful at IsoLabs? It's not about finding More ❯
ML models and LLMs in cloud and local environments. Strong programming skills in Python including its ecosystem for AI/ML, including libraries like PyTorch, Hugging Face Transformers, scikit-learn and Tensorflow. Extensive hands-on experience with cloud-based architectures and distributed systems, building scalable, reliable, and secure solutions. Demonstrated More ❯
a detailed breakdown of all the technologies we use: Backend: Python Frontend: Typescript and React Kubernetes for deployment GCP for underlying infrastructure Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures, and skill levels to apply. It is okay to not meet all requirements listed as we More ❯
Exciting opportunity to join an AI scale up! Skills- Python/PyTorch/Scikit- learn Deliver and test AI/ML pipelines that can be deployed into a cloud environment DevOps/MLOps practices LangChain, Llama, LLMs RAG Systems Co Pilot/Gen AI Details- 6 month contract Outside IR35 More ❯
get in touch with me to review the details around this offer: Experience with: - Designing CNNs, RNNs - Training using gradient and RL based learning - Pytorch preferably, Tensorflow and Keras OK - 3D physics simulations - Python Comfortable with: - Working in 3D - Computer graphics concepts: meshes, point clouds, rendering - Computer vision concepts Nice More ❯
get in touch with me to review the details around this offer: Experience with: - Designing CNNs, RNNs - Training using gradient and RL based learning - Pytorch preferably, Tensorflow and Keras OK - 3D physics simulations - Python Comfortable with: - Working in 3D - Computer graphics concepts: meshes, point clouds, rendering - Computer vision concepts Nice More ❯
hands-on experience in deep learning (ideally in computer vision or 3D-related areas) ✅ Strong Python + debugging skills ✅ Experience designing & training models in PyTorch or TensorFlow ✅ Good understanding of C++ ✅ Interest/experience in the video, games or film industry Bonus if you have: GitHub, papers, or personal projects More ❯
london, south east england, united kingdom Hybrid / WFH Options
Harnham
hands-on experience in deep learning (ideally in computer vision or 3D-related areas) ✅ Strong Python + debugging skills ✅ Experience designing & training models in PyTorch or TensorFlow ✅ Good understanding of C++ ✅ Interest/experience in the video, games or film industry Bonus if you have: GitHub, papers, or personal projects More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Harnham
hands-on experience in deep learning (ideally in computer vision or 3D-related areas) ✅ Strong Python + debugging skills ✅ Experience designing & training models in PyTorch or TensorFlow ✅ Good understanding of C++ ✅ Experience in the creative industries - e.g, video, games or film industry Bonus if you have: GitHub, papers, or personal More ❯
Cloud Platform (GCP) and Vertex AI. Extensive experience in Python programming and using Jupyter notebooks. Deep expertise in deep learning frameworks such as Keras, PyTorch, and CoreML. Strong knowledge of image processing techniques and algorithms. Experience in data wrangling, processing, and technical documentation. The ability to communicate complex technical concepts More ❯
Cloud Platform (GCP) and Vertex AI. Extensive experience in Python programming and using Jupyter notebooks. Deep expertise in deep learning frameworks such as Keras, PyTorch, and CoreML. Strong knowledge of image processing techniques and algorithms. Experience in data wrangling, processing, and technical documentation. The ability to communicate complex technical concepts More ❯
the electromagnetic spectrum and radio spectrum, impacting real-time decision-making and execution. WHAT ARE WE LOOKING FOR: Extensive experience in ML development in PYTORCH , Kubernetes, and TensorFlow. A proven record in AI and machine learning, focusing on end-to-end solution integration with existing infrastructure. A leading developer focused More ❯
Experience with profiling tools (e.g., NVIDIA Nsight, gdb, perf) and performance tuning in a GPU environment. Experience working with deep learning frameworks (e.g., TensorFlow, PyTorch) or similar ML frameworks is a plus. Strong problem-solving skills and a keen interest in optimizing systems for ML workloads. A passion for machine More ❯
Experience with profiling tools (e.g., NVIDIA Nsight, gdb, perf) and performance tuning in a GPU environment. Experience working with deep learning frameworks (e.g., TensorFlow, PyTorch) or similar ML frameworks is a plus. Strong problem-solving skills and a keen interest in optimizing systems for ML workloads. A passion for machine More ❯
building, validating and deploying GenAI models and applications on cloud infrastructure. Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. Knowledge of MLOps tools and workflows for model development, validation, and deployment. High level of communicating effectively across internal and external More ❯
build advanced data models, including predictive and prescriptive modelling. Proficiency in training large-scale models using modern deep learning engines such as TensorFlow, Keras, PyTorch, MXNet, or Caffe. Understanding of machine learning, natural language processing, and deep learning. Experience with cloud-based AI services and platforms. Knowledge of regulatory frameworks More ❯
building, validating and deploying GenAI models and applications on cloud infrastructure. - Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. - Knowledge of MLOps tools and workflows for model development, validation, and deployment. - High level of communicating effectively across internal and external More ❯
Occasionally, and in line with your strengths and interests, you may be asked to work outside your job description. Our tech stack Languages: Python (PyTorch, NumPy, OpenCV) ML Frameworks: PyTorch, TensorFlow, OpenCV Infrastructure: AWS, GCP, Docker, Kubernetes, MLFlow MLOps Tools: DVC, Weights & Biases, TensorRT Version Control & CI/CD: GitHub … Experience deploying ML models at scale, with knowledge of MLOps, model optimisation, and inference acceleration. Proficiency in Python and AI/ML frameworks like PyTorch & TensorFlow. Familiarity with cloud platforms (AWS, GCP, Azure) and containerised environments (Docker, Kubernetes). desirable Knowledge of camera models and calibration. Ability to communicate complex More ❯
in using transformers for biological data, such as DNA, protein, or evolutionary-scale modelling. Proficiency in Python and at least one ML platform (e.g., PyTorch, TensorFlow). Experience with Graph ML/GNN OR Single Cell Transcriptomics Strong understanding of transformers and their applications in biomedical research. Knowledge of lab More ❯
in using transformers for biological data, such as DNA, protein, or evolutionary-scale modelling. Proficiency in Python and at least one ML platform (e.g., PyTorch, TensorFlow). Experience with Graph ML/GNN OR Single Cell Transcriptomics Strong understanding of transformers and their applications in biomedical research. Knowledge of lab More ❯
