51 to 70 of 70 Permanent XGBoost Jobs

operating models on DatabricksFamiliarity in Cloud-based application development (we use AWS & Azure)Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, TritonStrong communication skills, able to express ideas clearly and collaborate across teamsAdditional InformationBring ...

Pay Range: $55.00hr - $60.00hr Job Overview: Our client is looking for an experienced AI/ML Engineer with a strong Data Science background to design, develop, deploy, and manage machine learning solutions across the complete ...

with: Data Quality Data Governance techniques Knowledge of: MLOps Feature Engineering Exposure to data analysis and ML tools such as: scikit-learn pandas NumPy XGBoost LightGBM Familiarity with orchestration tools: Apache Oozie Apache Airflow Why you’ll love it here We want to make Prima a happy and empowering place ...

Machine Learning Engineer 5 (IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At ...

Machine Learning Engineer 5 (IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At ...

Machine Learning Engineer 5 (IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At ...

drive measurable business value Strong expertise in Python and SQL Deep familiarity with pandas, NumPy, scikit-learn, and standard ML frameworks such as PyTorch, XGBoost, or LightGBM Experience working in cloud-based environments such as AWS or GCP Familiarity with CI/CD workflows, Git, and MLOps principles Ability … Mentoring Problem-Solving Adaptability Industry Keywords Data Products Business Insights Customer Behavior Modeling Forecasting Optimization Causal Inference Tools & Technologies Pandas NumPy Scikit-Learn PyTorch XGBoost LightGBM Git CI/CD Workflows MLOps Principles Cloud Platforms #J-18808-Ljbffr ...

exploring LLM-based feature engineering. You will collaborate with cross-functional teams, mentor juniors, and contribute to long-term modeling vision, leveraging Python, SQL, XGBoost, and MLFlow in a fast-paced environment. #J-18808-Ljbffr ...

Strong commercial Data Science experience Advanced Python and SQL skills Experience with Databricks and/or PySpark Knowledge of machine learning techniques such as XGBoost and LightGBM Strong statistical modelling capability Excellent problem-solving and stakeholder management skills Experience in insurance, financial services, or another regulated environment is advantageous ...

operational excellence. Experience working with large-scale data processing technologies such as Spark. Strong understanding of machine learning frameworks such as PyTorch, TensorFlow, XGBoost or similar technologies. Experience designing reliable APIs, services and platforms that support machine-learning-powered products. Ability to work through ambiguity and lead complex technical initiatives. ...

trails Strong general insurance pricing toolkit: GLMs (Poisson/NB/Tweedie), GAMs, credibility/hierarchical methods; experience with tree-based ML (GBM/XGBoost/CatBoost) and regularisation Proficient in R and Python, with strong SQL; comfortable in Git-based workflows and “in the engine room” with proprietary rating ...

observability and operational excellence Experience with large-scale data processing technologies such as Spark Strong understanding of machine learning frameworks such as PyTorch, TensorFlow, XGBoost or similar technologies Experience designing reliable APIs, services and platforms that support machine-learning-powered products Ability to work through ambiguity and lead complex technical ...

from you. Experience developing, deploying or operating machine learning solutions in production environmentsFamiliarity with modern machine learning frameworks and tooling such as PyTorch, TensorFlow, XGBoost or similar technologiesExperience training models using GPUs, or an interest in distributed computing and scalable machine learning systemsUnderstanding of software engineering fundamentals, including version control ...

End Date Friday 09 October 2026 Salary Range £72,702 - £80,780 Location(s) Bristol, Chester or Manchester Hours Full time, 35 hours per week Working Pattern Our work style is hybrid, which involves spending ...

End Date Friday 09 October 2026 Salary Range £72,702 - £80,780 Location(s) Bristol, Chester or Manchester Hours Full time, 35 hours per week Working Pattern Our work style is hybrid, which involves spending ...

working software. Experience with any of the following would be an advantage: LLMs AI Agents Graph analytics Behavioural modelling Cyber security Network intelligence PyTorch XGBoost Our technology Python SQL AWS PyTorch Scikit-learn XGBoost Docker Kubernetes Claude Code GitHub Copilot LLMs AI Agents Why Friend MTS? AI is becoming ...

Working with large datasets Production software development Experience with any of the following is useful, but not essential: LLMs AI Agents PyTorch XGBoost Graph analytics Behavioural modelling Cyber security Network analytics Our technology Our technology stack continues to evolve, but you'll typically work with: Python SQL AWS PyTorch Scikit … learn XGBoost Docker GitHub Claude Code GitHub Copilot LLMs AI Agents Why Friend MTS? You’ll work on problems very few engineers ever encounter. Internet-scale systems. Adversarial behaviour. Real-time intelligence. Applied AI. You’ll help build technology that protects some of the world's largest broadcasters, sports organisations ...

presentations Adopt data science best-practice e.g. Git/Docker/cloud deployment KEY REQUIREMENTS: Experience with applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science … skills High attention to detail Ability to work independently and as part of a team Understanding of classical machine learning concepts and principles (e.g. xgboost, regression, decision trees) INTERVIEW PROCESS: Stage 1: 20 min video call with a member of the hiring team Stage 2: 45 mins live coding task ...

practices (with the freelance Lead Developer) that support Atlas's modelling, forecasting and MMM automation Support productionisation of propensity, forecasting and MMM outputs (e.g. XGBoost, AutoGluon/Chronos, Meridian) built by the Data Scientist, ensuring they run reliably at scale Implement data governance, monitoring, alerting and incident runbooks appropriate … with event streaming architectures (e.g. real‐time ingestion, sub‐second/sub‐minute latency pipelines) Exposure to productionising machine learning or forecasting models (e.g. XGBoost, AutoGluon, Meridian, Robyn) built by data scientists Experience with reverse ETL and activation into media, CRM or ESP platforms Hands‐on experience with Snowflake (warehouse ...

underpin your work and help them productionise your applications Preferred Technical Skills Time-series modelling (ARIMA, SARIMA, etc.) and - Tree-based & gradient boosting models (XGBoost, LightGBM, NGBoost) Expertise/knowledge of internally stored data & data consumers as well as other data sources that are currently not databased Python (3+ … SQLAlchemy, Streamlit Infrastructure and DB: Postgres, Warehousing (if we did it), prefect, Kubernetes, SQLAlchemy, AWS Visualisation: Grafana, Superset, Marimo Forecasting + general DS: lightgbm, xgboost, numpy, scipy, scikit-learn Claude AI Ultimately we are looking for someone who is a great fit for our company so we encourage ...