deploying AI systems Proficiency in programming languages such as Python, JavaScipt, TypeScript, or R, and familiarity with AI development tools and libraries like TensorFlow, PyTorch, LangChain or LlamaIndex Knowledge of vector databases and data platforms Demonstrated ability to lead projects, manage teams, and drive projects to completion under tight deadlines more »
the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data more »
the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data more »
Control Theory, or related field with a strong focus on AI/ML. Extensive hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, MXNet, JAX, and proficiency in programming languages like Python. Solid understanding of deep learning architectures, neural network design, and optimization techniques for efficient model more »
analysis, and data engineering. Proficiency in programming languages such as Python, R, and SQL, and experience with data science tools and frameworks like TensorFlow, PyTorch, and Spark. Demonstrated ability to lead and inspire a team of data professionals, fostering a collaborative and high-performing work environment. Excellent problem-solving skills more »
as C++, Java, Scala or Python Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras Experience building large-scale machine-learning infrastructure that have been successfully delivered to customers Experience defining system architectures and exploring technical more »
solutions using LangChain, RAG methods, and other relevant frameworks. Experience with Flask for API development. Technical Skills: Proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow). Strong understanding of natural language processing and generative models. Experience with vector databases, e.g. Chroma for document and vector management, and embedding models. more »
data analysis, deep learning, and machine learning techniques. Proficiency in programming languages like Python and familiarity with machine learning frameworks (such as TensorFlow and PyTorch). Good management and leadership abilities. Strong presentation and communication skills. Experience with computational chemistry software and tools is a plus. If you are interested more »
learning algorithms, statistical methods, and AI techniques. Proficiency in programming languages such as Python, R, or similar, and experience with machine learning frameworks (TensorFlow, PyTorch, etc.). Proven track record of conducting AI/ML research, with publications in top-tier conferences and journals. Familiarity with the fintech industry, including more »
Foundation Models, specifically in Visual Language Models, Large Language Models, Vision Transformers, or Diffusion Models Desired Experience: Familiarity with software libraries and frameworks like PyTorch, TensorFlow, SciKits, Kaldi, OpenCV, and CUDA Background in software engineering and development Relevant experience through internships or research positions in academic or industrial R&D more »
ability to work effectively in a collaborative environment. Bonus points if you have Experience with computer vision libraries and frameworks, such as OpenCV, TensorRT, PyTorch, and CUDA. Knowledge of cloud platforms like AWS, GCP, or Azure. Experience with performance and load testing tools. Understanding of machine learning concepts and deployment more »
Belfast, Northern Ireland, United Kingdom Hybrid / WFH Options
Realtime Recruitment
Technical Experience: Proficiency in Java, Kotlin, or Python. Experience with NLP, ML-Ops, and data pipelines. Familiarity with ML frameworks such as TensorFlow or PyTorch Strong understanding of ML algorithms, statistical techniques, and data analysis. Experience with AWS or other cloud technology Background in AI/ML-based analytics products more »
Brighton, England, United Kingdom Hybrid / WFH Options
15gifts
in our 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 more »
or get in touch. Tech Stack: Python GNU/Linux Mathematical + Scientific Libraries (Numpy etc..) Azure NumPy, SciPy, Matplotlib, Pandas, Scikit-learn, TensorFlow, PyTorch, scikit-learn, Keras, matplotlib, seaborn, plotly, bokeh, Altair, Django, Flask, requests, BeautifulSoup, Jinja2 Humand Talent Solutions and their clients and associates do not discriminate on more »
in designing and implementing complex AI architectures, including deep learning, reinforcement learning, and other generative AI techniques. Proficiency in AI frameworks such as TensorFlow, PyTorch, or similar. Proven track record of leading technical teams in the development of AI solutions, with strong team-building, mentoring, and coaching skills. Creative thinker more »
team members. REQUIREMENTS: Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. Demonstrated success in AI solutions for insurance. Proficiency in TensorFlow, PyTorch, Python, Java, and cloud platforms. Understanding of insurance business and regulations. Strong communication and leadership skills. NEXT STEPS: If this role looks of interest, please more »
Learning and Artificial Intelligence including ML and AI techniques to develop predictive models and enhance algorithmic strategies. Familiarity with libraries and frameworks like TensorFlow, PyTorch, or Scikit-Learn can be particularly useful. If this role is of interest, please share your CV and we can discuss the role in more more »
Cambridge, England, United Kingdom Hybrid / WFH Options
IC Resources
years of industry experience working with ML models for system performance analysis. Strong background with CNN and Transformer Architecture. Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python. Desired Experience Industry experience at leading NPU, CPU, GPU, semiconductor manufacturer. Knowledge of system modelling/simulation more »
developing performance architecture of NPU/GPU/CPU/AI accelerators ML model training, quantization, sparsity, model preprocessing etc. Software-hardware co-design PyTorch, TensorFlow NCCL, OpenMPI C/C++, Python Verilog, RTL What’s on offer? The succesful Architect is most likely to achieve a six-figure salary more »
complex sports analytics problems. Integrate ML systems into existing infrastructure, leveraging cloud services, Docker and Kubernetes. Maintain and improve ML models, employing frameworks like PyTorch and TensorFlow. Follow Agile methodologies, ensuring best practices in software development and CI/CD pipelines. As the selected Machine Learning Engineer, your background will more »
to design, develop, and deploy scalable full-stack applications using modern technologies. Expertise in deep learning methodologies, including model development, training, and optimisation using PyTorch and TensorFlow. Strong Candidates May Also Have Experience working with hardware - through a degree (e.g. Engineering, Physics), student organisations (e.g. Formula Student) or professional experience. more »
Experience working on very complex systems Strong experience with Computer vision Longevity in their previous roles Experience with Remote Sensing highly desirable Stack: Python, PyTorch, AirFlow, PySpark (equivalent tools are fine more »
with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join? Get in touch. Salary and total compensation is purely based on performance of your models and more »
