or Machine Learning Professional Certification. Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing. Experience with CI/CD More ❯
or Machine Learning Professional Certification. Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing. Experience with CI/CD More ❯
role. Strong proficiency in programming languages such as Python or R for data analysis, with experience in libraries like pandas, NumPy, scikit-learn, and TensorFlow/PyTorch. Solid understanding of statistical analysis and experience in applying techniques like regression, hypothesis testing, and multivariate analysis. Hands-on experience with machine More ❯
of a wide range of ML algorithms. Understanding of MLOps practices for managing and monitoring models in production. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Proficiency in programming languages such as Python, SQL, and R. Knowledge of SQL and NoSQL databases for data storage and retrieval. Experience More ❯
large datasets and with streaming data architectures. Demonstrated knowledge of large language models and generative AI. ML frameworks (Scikit-Learn, NumPy, SciPy, Pandas, XGBoost, Tensorflow, PyTorch, MXNet, LLM) Qualifications Required: Bachelor's Degree with 7 years experience; Master's Degree with 6 years experience; PhD with 2 years experience. More ❯
Programming Languages: Proficiency in Python and experience with languages such as Java or Scala. ? AI Frameworks: Extensive experience with AI frameworks and libraries, including TensorFlow, PyTorch, or similar. ? Data Processing: Expertise in big data technologies such as Apache Spark, Hadoop, and experience with data pipeline tools like Apache Airflow. 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 ❯
initiatives such as blogs, thought leadership, and leading technical forums. Requirements Substantial experience with Python and relevant libraries (e.g. Pandas, Numpy, Scikit Learn, PyTorch, Tensorflow). Experience driving ML & data science solutions into production. You can put the numbers into a business perspective - you're a data storyteller. You More ❯
design & implementation Contribute to internal initiatives such as; blogs & technical forums Requirements Substantial experience with Python and relevant libraries (e.g.Pandas,Numpy, Scikit Learn, PyTorch, Tensorflow) Experience driving ML & data science solutions into production You can put the numbers into a business perspective - you're a data storyteller You are More ❯
and multi-agent systems (MAS). Advanced Python programming skills, with a strong emphasis on writing efficient, scalable, and maintainable code. Proven experience with TensorFlow/PyTorch/Jax, Scikit-learn, and MLOps workflows for training, deployment, and monitoring of ML models. Experience working with Polars and/or More ❯
Artificial Intelligence, or a related field, or equivalent professional experience Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch, TensorFlow or JAX Hands-on experience fine-tuning LLMs and optimising hyperparameters for improved performance Skilled in building LLM-powered applications for real-time decision More ❯
internal initiatives such as blogs, thought leadership, leading technical forums Requirements Substantial experience with Python and relevant libraries (e.g. Pandas, Numpy, Scikit Learn, PyTorch, Tensorflow) Experience driving ML & data science solutions into production You can put the numbers into a business perspective - you’re a data storyteller You are More ❯
machine learning concepts, algorithms, and model lifecycle. Proficiency in programming languages such as Python, Java, or Scala. Experience with ML frameworks and libraries like TensorFlow, PyTorch, or scikit-learn. Hands-on experience with ML Ops tools and platforms such as MLflow, Kubeflow, or TFX. Familiarity with cloud platforms (AWS More ❯
PostgreSQL preferred but general SQL knowledge is more important). Familiarity with latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn). Knowledge of software engineering practices (coding practices to DS, unit testing, version control, code review). Experience with Hadoop (especially More ❯
with advanced AI leaders. Strong programming skills in languages such as Python, Java, or C++. Experience with AI and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. What You'll Bring Preferred qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with data More ❯
NLP, computer vision, cross-validation, time series forecasting, and generative AI techniques. Proficiency in modern AI/ML tools and frameworks, including Python, PySpark, TensorFlow, PyTorch, Vertex AI, MLflow, and cloud-based ML platforms such as Azure ML, AWS SageMaker, and Google Cloud AI. Experience with production-scale AI More ❯
bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn). Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools More ❯
AI. Proven expertise in deploying and managing Generative AI models (e.g., GPT, Stable Diffusion, BERT). Proficient in Python and ML libraries such as TensorFlow, PyTorch, or Hugging Face. Skilled in cloud platforms (AWS, GCP, Azure) and managed AI/ML services. Hands-on experience with Docker, Kubernetes, and 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 ❯
Welwyn Garden City, Hertfordshire, UK Hybrid / WFH Options
Ocado Group
data science community. What we're looking for: A strong data science background including solid coding skills with Python Scikit learn, Pandas, Matplotlib, Numpy, Tensorflow, Keras Statistics (including statistical tests) Good knowledge of traditional Machine Learning techniques (Deep Learning and Reinforcement Learning a definite plus) Familiarity with Operational Research More ❯
Strong experience in machine learning, deep learning, and statistical analysis. Expertise in Python, with proficiency in ML and NLP libraries such as Scikit-learn, TensorFlow, Faiss, LangChain, Transformers and PyTorch. Experience with big data tools such as Hadoop, Spark, and Hive. Familiarity with CI/CD and MLOps frameworks More ❯
of power system fundamentals, including power flow, optimal power flow (OPF), and common operational challenges. Experience with machine learning models using frameworks, such as TensorFlow or Jax. Proficiency in Python Experience using commercial or open-source optimization solvers, such as Gurobi, CPLEX, IPOPT, or similar. A strong interest in More ❯
relationships and insights. Knowledge Graphs: Expertise in building and managing Knowledge Graphs to represent and query complex data structures. Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or similar frameworks. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with natural language processing (NLP) and computer vision More ❯
