1 to 25 of 113 TensorFlow Jobs in London

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 »

within a multi-strategy hedge fund environment. Strong programming skills in Python, R, or C++, with a focus on Machine Learning libraries such as TensorFlow or scikit-learn. Demonstrated success in developing and trading medium frequency statistical arbitrage strategies, with examples of applying Machine Learning techniques for predictive analytics. more »

Hands-on experience with Azure cloud services, including Azure Machine Learning, Azure Databricks, and Azure Synapse Analytics. Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with version control systems such as Git. Excellent problem-solving and analytical skills. Strong communication and teamwork skills. Active more »

applications. Qualifications In-depth understanding of artificial intelligence principles and techniques Proficiency in programming languages commonly used in AI research, such as Python or TensorFlow Experience in developing and deploying machine learning models Familiarity with deep learning frameworks and methodologies Strong analytical and problem-solving skills Ability to thrive more »

will have: At least 4 years of experience in the Energy industry, including short term power forecasting. Extensive experience of Python and ML Models (Tensorflow) Azure devops experience would be beneficial more »

power ASIC design. Responsibilities: Lead power modeling and analysis efforts for GPU products across various product lines and nodes Optimize power bins and develop TensorFlow models for accurate power estimation Collaborate with pre- and post-silicon teams to ensure seamless chip integration Apply compiler engineering expertise to enhance power … in IC design, with expertise in RTL/netlist power simulations and clock tree analysis Proficiency in power optimization techniques, power bin optimization, and TensorFlow modeling Experience in compiler engineering and its application to power architecture Excellent problem-solving, communication, and leadership skills Ability to work collaboratively in a 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 »

years industry experience working on performance architecture of NPU/GPU/CPU/AI accelerators Software-hardware co-design Deep learning frameworks, PyTorch, TensorFlow C/C++, Python Desirable MLOps, including model training, quantization, sparsity, model preprocessing etc. ML Compiler stack Verilog/RTL designs What’s on more »

and implementing high-performance Python-based solutions to support our multi-strategy trading platform, leveraging cutting-edge libraries and frameworks such as NumPy, pandas, TensorFlow, and PyTorch. Collaborating closely with quantitative analysts and traders to develop and deploy sophisticated algorithmic trading strategies, utilizing advanced mathematical models and machine learning … understanding of its inner workings, including memory management, concurrency, and performance optimization. Proficiency in data science and machine learning libraries such as scikit-learn, TensorFlow, and PyTorch, with hands-on experience in developing and deploying machine learning models in production environments. Familiarity with financial markets and trading concepts, including more »

solutions within the insurance domain , Hands-on experience across predictive modelling, natural language processing, computer vision, and reinforcement learning. Proficiency in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business processes and regulatory frameworks, with more »

production • Strong communication skills • Willingness to travel to London office at 1 or 2 days a week Nice to Haves • Experience with Pytorch/TensorFlow or similar machine learning framework • Knowledge of video compression and coding (e.g. H.264, H.265, VP9) • Good knowledge of Linux We Offer We offer a 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 »

large and complex Data Driven environment Minimum of 3 years of hands-on experience in AI/ML development Proven experience in Python, R, TensorFlow, PyTorch or Similar Frameworks Previous Experience building Predictive Models (e.g., Research Pricing, recommendation systems) Strong background in Cloud platforms (AWS, GCP, Azure) and Containerisation more »

the insurance domain , with hands-on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business processes and regulatory frameworks, with more »

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 successful Architect is most likely to achieve a six-figure salary more »

a high-performing, cross-functional team of ML engineers, data scientists, and domain experts. Evaluate and select appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges. Collaborate with stakeholders (CTO, CEO, SVP of Legal Services, Product Management, Development teams) to integrate ML and … techniques. Hands-on experience in building and deploying end-to-end ML solutions. Strong programming skills in Python and proficiency in ML frameworks (e.g., TensorFlow, PyTorch). Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable ML model deployment. Understanding of data privacy, security, and more »

discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Exceptional communication skills, able to engage confidently with non-technical stakeholders Experience resolving operational or customer more »

data (PostgreSQL preferred but general SQL knowledge more important) Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Delivering insights using visualisation tools or libraries (Javascript preferred) Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including more »

data (PostgreSQL preferred but general SQL knowledge more important) Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Delivering insights using visualisation tools or libraries (Javascript preferred) Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including more »

Learning Engineer or similar role, with a strong emphasis on engineering Proficiency in Python programming and experience with relevant libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Extensive experience of deploying a cloud platform (GCP, AWS or Azure) Strong proficiency in NumPy for numerical computing and data more »

Python Programming Language – 4-5+ years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib SQL/MySQL/database experience Please note, this is a hybrid position. Candidates who cannot travel to more »

leadership skills, with the ability to inspire and motivate teams. Ideally, proficiency in programming languages and tools used for AI development, such as Python, TensorFlow, PyTorch, or similar. Ideally, industry certifications or professional accreditations related to AI and project management. Ideally, knowledge of cloud computing platforms and their AI more »

Technical Skills: Proficiency in Python, R, SQL, and big data technologies such as Hadoop, Spark, or Kafka. Experience with machine learning frameworks such as TensorFlow or PyTorch. Analytical Skills: Strong problem-solving skills with the ability to derive meaningful insights from complex datasets. Communication: Excellent verbal and written communication more »

Python Programming Language – 4-5+ years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib/Plotly SQL/MySQL/database experience The ability driving projects from conception to completion Excellent communication more »

Python Programming Language – 4-5+ years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib/Plotly SQL/MySQL/database experience The ability driving projects from conception to completion Excellent communication more »