Python (preferred) or R, with experience in SQL for data manipulation and analysis. Strong understanding of machine learning algorithms and frameworks like scikit-learn, TensorFlow, or PyTorch. Experience with cloud platforms (AWS, GCP, or Azure) for model deployment and data processing. Proficiency in data visualisation tools such as Tableau more »
london, south east england, united kingdom Hybrid / WFH Options
Intellect Group
Python (preferred) or R, with experience in SQL for data manipulation and analysis. Strong understanding of machine learning algorithms and frameworks like scikit-learn, TensorFlow, or PyTorch. Experience with cloud platforms (AWS, GCP, or Azure) for model deployment and data processing. Proficiency in data visualisation tools such as Tableau more »
projects). Proficiency in Python, R, SQL, or similar languages for data analysis and modeling. Basic understanding of machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data collection, cleaning, and exploratory data analysis. Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Strong foundation more »
ML models in a production environment. Proficiency in programming languages such as Python, Java, or C++. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with data processing tools and platforms (e.g., SQL, Apache Spark, Hadoop). Knowledge of cloud computing services (e.g., AWS more »
Expertise with libraries such as Pandas and NumPy for data manipulation and exploration. ML Frameworks: Proficiency in ML Modeling concepts and frameworks like Sklearn, TensorFlow, Keras, PyTorch, and others. Data Preprocessing: Strong skills in data encoding, normalizing, and regularizing to prepare datasets for ML models. Deep Learning: Solid understanding more »
professional experience in data science and analysis 5+ years' Python, "R" or other scripting languages 2+ years' database experience ML practice - using scikit learn, tensorflow, or pytorch and perform DEA (Data exploration Analysis), clean data, model selection, feature selection/tuning, and deployment 2+ years' experience with data visualization more »
across various sectors.\ Key Responsibilities: Develop and implement machine learning models using Python and its associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Analyze complex datasets to extract valuable insights and drive data-driven decision-making. Collaborate with cross-functional teams to integrate AI models more »
across various sectors. Key Responsibilities: Develop and implement machine learning models using Python and its associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Analyze complex datasets to extract valuable insights and drive data-driven decision-making. Collaborate with cross-functional teams to integrate AI models more »
Nashville, Tennessee, United States Hybrid / WFH Options
Jobot
Job Details Education: Bachelor's, Master's, or PhD in Computer Science, AI, Data Science, or a related field. Programming Skills: Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, or similar frameworks. Machine Learning & AI Expertise: Strong knowledge of supervised, unsupervised, and reinforcement learning. Data Handling: Experience with big data more »
ElasticSearch, MongoDB, and graph databases. Experience with NLP and Large Language Models. Experience with GenAI enabled daily workflows (coding, testing, analytics). Familiarity with Tensorflow, Caffe2, PyTorch, Keras, and PySpark.Benefits: 401k matching PPO and HDHP medical/dental/vision insurance Education reimbursement Complimentary life insurance Generous PTO and more »
deep learning, predictive analytics, anomaly detection, clustering and segmentation, decision trees and random forests Professional Experience with one or more of the following frameworks: TensorFlow, PyTorch, Keras, Scikit-learn Experience developing Cloud Computing and DevOps workflows: AWS (SageMaker, EC2, S3); Containerization Knowledge, Skills and Abilities: A willingness to continuously more »
with training and evaluating BERT-like models in real-world applications, especially in NLP or classification problems. Hands on experience with ML tools like TensorFlow, PyTorch etc. Experience with data science libraries such as NLTK, Scikit-learn, SciPy, (Sci)SpaCy etc. Excellent problem-solving and programming skills in Python more »
of experience in AI development. Strong understanding of machine learning, deep learning, and other AI techniques. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Experience with data processing and analysis tools (e.g., Pandas, SQL). Familiarity with cloud platforms and AI services. Ability to work with more »
with training and evaluating BERT-like models in real-world applications, especially in NLP or classification problems. Hands on experience with ML tools like TensorFlow, PyTorch etc. Experience with data science libraries such as NLTK, Scikit-learn, SciPy, (Sci)SpaCy etc. Excellent problem-solving and programming skills in Python. more »
in AI/ML engineering and Gen AI Building LLM from scratch. Strong expertise in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn). Experience working with LLMs and understanding of transformer-based architectures. Familiarity with vector databases and experience with embeddings (e.g., for text more »
experience in managing and mentoring teams. Technical Skills: Proficiency in programming languages such as Python, R, or similar. Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn). Strong knowledge of SQL and database management. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure more »
and Agile methodologies is a plus. Proficiency in programming languages such as Python, R, or Java. Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with SQL and NoSQL databases, and data processing frameworks like Apache Spark or Hadoop. Experience using analytics and visualization more »
principles, including threat detection, incident response, and security operations. Technical Expertise: Proficiency in Python, SQL, and relevant data science libraries (e.g., pandas, scikit-learn, TensorFlow) and experience working with SIEM tools like Splunk and Elastic Search. Advanced Analytics & ML: Proven experience in applying machine learning techniques (anomaly detection, clustering more »
R, and Python, with deep expertise in Python libraries for data analysis (such as Pandas and NumPy) and machine learning frameworks (like PyTorch and TensorFlow). In-depth understanding of machine learning concepts-including optimisation, statistics, and algorithm development-with a proven track record in designing, developing, and deploying more »
with a strong focus on machine learning and time series forecasting. Expertise in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Solid understanding of ML and data pipeline architectures and best practices. Experience with big data technologies and distributed computing (e.g., Spark, Hadoop more »
london, south east england, united kingdom Hybrid / WFH Options
Hartree Partners
with a strong focus on machine learning and time series forecasting. Expertise in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Solid understanding of ML and data pipeline architectures and best practices. Experience with big data technologies and distributed computing (e.g., Spark, Hadoop more »
applications, particularly in fraud prevention and user personalization. Experience designing, developing, and implementing advanced machine learning models. Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Data Engineering Skills: Proficiency in developing and maintaining real-time data pipelines for processing large-scale data. Experience with ETL more »
applications, particularly in fraud prevention and user personalization. Experience designing, developing, and implementing advanced machine learning models. Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Data Engineering Skills: Proficiency in developing and maintaining real-time data pipelines for processing large-scale data. Experience with ETL more »
Solid understanding of supervised and unsupervised learning, feature engineering, model selection, and evaluation techniques. Deep Learning: Familiarity with neural networks and frameworks such as TensorFlow or PyTorch. Big Data Tools: Proficiency in distributed computing tools like Apache Spark and Databricks. Cloud Platforms: Experience with Microsoft Azure services, including Azure more »
within the public sector, understanding unique challenges and compliance requirements (e.g., data security, privacy, etc.). Proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch) with demonstrated experience in developing LLMs. Strong knowledge of natural language processing (NLP) techniques, including transformer architectures such as GPT, BERT, or similar. more »
