facing if you wish. You’ll need: MSc OR PHD in a STEM subject – ideally from a top UK university Experience with Python/TensorFlow/Keras Solid knowledge & understanding of Machine Learning/Data Science Strong Time-Series Forecasting Experience ·Research experience is a bonus! On offer is more »
Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/ more »
Greater London, England, United Kingdom Hybrid / WFH Options
Stratiphy
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 »
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 »
a focus on machine learning or similar. Experience of developing and deploying state-of-the-art recommendation algorithms using Python and relevant libraries (e.g., TensorFlow/PyTorch/Keras/etc) in the Python ecosystem. Have strong experience in DevOps combined with AWS and technologies such as Docker, Kubernetes more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
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 »
London, England, United Kingdom Hybrid / WFH Options
Harnham
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 »
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 »
We are currently looking for an experienced Machine Learning Engineer to work an exciting project, utilising the latest technologies. You will work closely with data scientists to take ML models from research to production while upholding engineering best practices. Responsibilities 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 »
following: Extensive experience MLIR/LLVM Compiler Development Advanced C++ programming skills Understanding of AI Processors is preferred Familiarity of AI frameworks such as Tensorflow, PyTorch, etc.If you’re a MLIR Compiler Lead looking for an exciting new challenge within a great company, then please apply today to learn more »
Greater London, England, United Kingdom Hybrid / WFH Options
Renude
with one or more of the following: generative models, segmentation, object detection, classification, model optimisations Experience working with machine learning frameworks such as PyTorch, TensorFlow or Keras Experienced with foundational Large Language Models (LLMs) APIs Experience in LLMs quantitative analysis Exposure to MLOps practices Familiarity with version control systems 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 »
with relational databases, and programming experience in Python or Scala. Experience with Snowflake and its tooling (Snowpark, Snowpipe, etc.). Familiarity with Fivetran, DBT, TensorFlow, PyTorch, and other modern data stack components. Knowledge of data integration and ETL frameworks and tools. Understanding of DataOps, data mining, and data visualization 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 »
as a Machine Learning Engineer or similar. Experience of developing and deploying state-of-the-art recommendation algorithms using Python and relevant libraries (e.g., TensorFlow/PyTorch/Keras/etc) in the Python ecosystem. Have strong experience in DevOps combined with AWS and technologies such as Docker, Kubernetes more »
upgrades etc. Requirements: Knowledge and experience of working with Python3 Particular knowledge and experience of working with high performance libraries such as Numpy and Tensorflow Experience of working with JIT compilers such as Numba Ability to implement best practices particularly with regards to managing code bases, testing code etc more »
models using Python to develop new data products and services. Coding and testing new algorithms for prototype and production applications using Python libraries like TensorFlow and Keras. Translating data into meaningful insights using Python. Taking the lead in interacting with customers and stakeholders to showcase the project. Your Skills … Strong commercial experience with Python and data visualization, and proficient knowledge of Python, R, and Scala. Previous commercial exposure to tools such as Keras, TensorFlow, Python. Excellent communication skills and ability to engage with teams and colleagues. Benefits: Competitive salary range of £100,000 Outstanding career progression opportunities. Flexible more »
learning problems and solid knowledge of mathematical foundations of ML algorithms. Proficiency in Deep Learning Architectures (e.g., MLP, RNN, CNN) and popular frameworks (e.g., TensorFlow, PyTorch, Keras). Expertise in multiple open-source machine learning libraries (e.g., scikit-learn, Pandas, NumPy, Matplotlib, seaborn, Spacy, NLTK, transformers, Hugging Face, pymupdf more »
Greater 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 »
of complex machine learning solutions. Expertise in product experimentation, Causal AI, and advanced statistical techniques. Deep knowledge of data science tools (e.g., scikit-learn, TensorFlow, PyTorch) and big data technologies (e.g., Spark). Proficiency in Python for data manipulation, model building, and scripting. Strong communication skills to present findings more »
production, with a focus on scalability, reliability, and performance. Strong programming skills in languages like Python, along with experience with ML frameworks such as TensorFlow or PyTorch. Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, collaborative environment. Why Join Us? Impact: Work more »
implement end-to-end machine learning pipelines for data preprocessing, feature extraction, model training, and deployment, using Python and machine learning frameworks such as TensorFlow or PyTorch. Optimize machine learning models for accuracy, speed, and scalability, considering factors such as data quality, computational resources, and business constraints. Develop and … of developing and deploying machine learning solutions in production environments. Proficiency in Python programming and experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with chatbot development frameworks and platforms (e.g., Dialogflow, Rasa) and knowledge of natural language processing (NLP) techniques and tools. 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 »
and 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 more »