20 of 20 Permanent Keras Jobs in the UK

Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud services such as AWS, GCP, and Azure Experience with AI modeling frameworks such as TensorFlow, PyTorch, Keras, or Scikit-Learn, and familiarity with AI Governance and Safety principles, including Responsible AI practices, bias and hallucination testing, and LLM safety guardrails Experience collaborating ...

technical stakeholders Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis ...

data processing and analytics. Strong programming skills in Python , with experience using data science libraries such as Pandas, Numpy, Scikit-learn, and Keras/PyTorch . Experience with Databricks and Spark for data manipulation and querying. Prior experience in the retail industry, with a deep understanding of retail analytics. Previous ...

technical stakeholdersStrong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub)ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate ...

production environments. Experience in customer-facing or consulting roles is strongly preferredStrong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deploymentEngineering best practices: You write ...

Time Series Analysis Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Understanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs ...

Time Series Analysis Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Understanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs ...

Recommendation, or Time Series AnalysisKnowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statisticsUnderstanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-LearnStrong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask ...

have LLM applications for agentic solutions Graph modeling Personalization: propensity/uplift modeling, bandits, causal inference Libraries: scikit‐learn, XGBoost, LightGBM, CatBoost, CausalML, Keras, DoWhy Experience with dbt, Airflow, Looker or Metabase, AWS services such as S3 and Lambda Experience in designing and implementing model/metric endpoints as part ...

results do and don’t show Strong Python skills and hands‐on experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, PyTorch or Keras Solid grounding in modern software engineering, infrastructure and data tooling, and an understanding of the MLOps challenges across the full ML lifecycle. ...

results do and don’t show Strong Python skills and hands‐on experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, PyTorch or Keras Solid grounding in modern software engineering, infrastructure and data tooling, and an understanding of the MLOps challenges across the full ML lifecycle. ...

Job Description Summary#LI-Hybrid Internal Title: Associate DirectorLocation: Cambridge, MANovartis is a leader in data science and model-informed drug development. We are seeking an experienced Data Science leader to advance data-driven drug discovery ...

Preferred Qualifications Experience with mobile application development and advertising across iOS/Android Experience with machine learning frameworks and libraries such as TensorFlow or Keras Job Information About TikTok TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. ...

side projects, or on-the-job learning. Be a fluent Python programmer, with experience in one or more standard ML frameworks, e.g. PyTorch, TensorFlow, Keras, or JAX. Possess experience across a range of machine learning techniques or the ability to adapt to new domains rapidly. Bring a rigorous scientific approach ...

engineers. The role requires 3+ years in sports betting or similar quantitative environments, strong Python and ML skills, and experience with TensorFlow/Keras or PyTorch. #J-18808-Ljbffr ...

Security & Compliance : Apply best practices for secrets management, dependency scanning, and secure artifact storage. Required Skills & Experience ML Frameworks : Expert in TensorFlow (TF2/Keras), experience with ONNX Runtime for inference. Programming : Advanced Python for ML; strong understanding of packaging, type checking, and performance profiling. APIs : Proficiency in gRPC/ ...

models can move from research and backtesting into live trading. Key Responsibilities Build and improve predictive models for sports betting markets using TensorFlow/Keras, PyTorch or similar. Develop features from historical match data, player performance, Elo/rating systems, market odds and other sports data. Develop probability models … Python skills, including NumX, pandas, SciPy and scikit-learn, plus solid SQL. Hands-on experience with machine learning and neural networks using TensorFlow/Keras or PyTorch. Strong understanding of probability, statistical modelling and model calibration. Practical understanding of betting markets, odds, overround, liquidity and closing line value. Knowledge ...

## Power Analyst – Data ScientistApplylocations: Londontime type: Full timeposted on: Posted 2 Days Agojob requisition id: JR1001460When you join EDF Trading, you’ll become part of a diverse international team of experts who challenge conventional ...

Introduction At IBM CIC, we provide technical and industry expertise to a wide range of public and private sector clients in the UK. A career in IBM CIC means you’ll have the opportunity to ...

The Solutions Engineering team is a specialized team that is in control of the relationship between TikTok advertising clients. The team is looking for engineers with an entrepreneurial mindset and the voice of the market. ...