physical sciences, materials science, applied mathe-matics or a related discipline. Proficiency in scientific Python programming. Experience with machine learning frameworks such as PyTorch, TensorFlow, Jax Excellent communication and interpersonal skills to be able to interact effectively with a diverse group of sci-entists and technical staff. Self-motivated more »
physical sciences, materials science, applied mathe-matics or a related discipline. Proficiency in scientific Python programming. Experience with machine learning frameworks such as PyTorch, TensorFlow, Jax Excellent communication and interpersonal skills to be able to interact effectively with a diverse group of sci-entists and technical staff. Self-motivated more »
physical sciences, materials science, applied mathe-matics or a related discipline. Proficiency in scientific Python programming. Experience with machine learning frameworks such as PyTorch, TensorFlow, Jax Excellent communication and interpersonal skills to be able to interact effectively with a diverse group of sci-entists and technical staff. Self-motivated more »
physical sciences, materials science, applied mathe-matics or a related discipline. Proficiency in scientific Python programming. Experience with machine learning frameworks such as PyTorch, TensorFlow, Jax Excellent communication and interpersonal skills to be able to interact effectively with a diverse group of sci-entists and technical staff. Self-motivated more »
AI security testing and red-teaming. Excellent communication and leadership skills. Skills and Competencies: Deep knowledge of AI and machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Proficiency in programming languages such as Python and R. Strong problem-solving skills and the ability to think critically and more »
Manchester, England, United Kingdom Hybrid / WFH Options
Anson McCade
ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning more »
London, England, United Kingdom Hybrid / WFH Options
Anson McCade
ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning more »
Vision models, particularly in the context of SLAM.Demonstrate proficiency in analyzing 3D Video and performing 3D reconstruction.Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS.SALARY AND BENEFITSCompetitive salary range: 65,000-90,000.Equity ownership in the company.Comprehensive benefits package.HOW TO APPLYPlease register your interest for this role by more »
Brighton, England, United Kingdom Hybrid / WFH Options
15gifts
ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow HuggingFace ecosystem [optional] Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc Ability to understand and develop state-of-the-art implementations Familiarity with more »
Scripting). - Strong experience with UNIX operating system, particularly the command line interface. - Demonstrable experience in common AI/ML frameworks such as PyTorch, TensorFlow, OpenNN. - Knowledgeable in different types of neural networks and other ML techniques, including Gaussian Processes, confidence measures, clustering techniques, and application of neural networking more »
Splunk or AppDynamics; Machine Learning Models including Traditional Models (Linear/Logistic or any CART models), Deep Learning Neural Models and frameworks (Keras/TensorFlow); Provide insights on how technical support, infrastructure, and API services can enhance products and drive business growth; Communicate with external users to understand their more »
working in the world of NLP Prior experienced developing generative models BIG love of working on complex, transformational projects Skills with AWS, Python, PyTorch, TensorFlow and Git Excellent communication skills and the ability to work cross-functionally Interested ? Apply now or reach out to daisy@wearenumi.com for further details more »
experience developing and deploying machine learning models in a production environment - ideally in a start-up or scale-up. - Machine learning libraries and frameworks (TensorFlow, PyTorch, scikit-learn). - Python - Big data processing tools (e.g., Spark). The role offers a salary range of between £70-100K depending more »
in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and more »
5+ years of experience in machine learning Prior experience in developing generative models Passion for tackling complex, transformative projects Proficiency in AWS, Python, PyTorch, TensorFlow, and Git Strong communication skills and the ability to collaborate cross-functionally Excited about the opportunity? Apply now or connect with daisy@wearenumi.com for more »
security, and deployment Understanding of and interest in the full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming and development of applications in Python more »
manner -Must know CI/CD pipelines and Agile frameworks, preferably with the MLOps context. -Understanding or familiar with technologies such as: Scikit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain (or equivalent), RAG, Model Security, Jupyter Notebook/JupyterLab, Unit Testing, Integration Testing, E2E Testing, ETL/ELT, Python Virtual more »
AI Deep understanding of ML algorithms, DL architectures, RL Insight into generative models, transformer architecture, and training of LLMs Proficiency in Python, familiarity with TensorFlow, PyTorch, Hugging Face transformers and LangChain Effective communication, especially in explaining AI conecpts to non-technical stakeholders NEXT STEPS Interested in the vacancy? We more »
in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and more »
in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and more »
record of successful projects •Experience in developing and deploying industrial grade AI solutions •Experience in using AI frameworks, trending models and libraries, such as TensorFlow, PyTorch, GPT, Gemini, LaMDA, LangChain, Vertex AI, SageMaker, etc •Experience in using cloud services and platforms, such as GCP, AWS, etc •Enthusiasm, strong analytical more »
working in large and complex Data Driven environmentMinimum of 3 years of hands-on experience in AI/ML developmentProven experience in Python, R, TensorFlow, PyTorch or Similar FrameworksPrevious Experience building Predictive Models (e.g., Research Pricing, recommendation systems)Strong background in Cloud platforms (AWS, GCP, Azure) and Containerisation (Kubernetes more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
particularly in the context of SLAM. Demonstrate proficiency in analyzing 3D Video and performing 3D reconstruction. Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS. SALARY AND BENEFITS Competitive salary range: ££90,000 to £110,000 Equity ownership in the company. Comprehensive benefits package. HOW TO APPLY Please more »
deploying desktop applications. DevOps Practices : Understanding modern DevOps practices, version control systems (e.g., Git), and CI/CD pipelines. ML Frameworks : Experience with PyTorch, TensorFlow, or NumPy. More about you: An experienced engineer with a track record in modern software engineering and DevOps practices. Passionate about performance and reliability more »
development and deployment. Excellent communication and teamwork skills, capable of collaborating effectively with non-technical colleagues. Strong knowledge of Python and ML libraries (PyTorch, Tensorflow, Keras, etc.) with R/SQL knowledge, partnered with experience with MLOps tools (Kubernetes, Docker, Jenkins, etc.) would be advantageous. Strong knowledge and experience more »
