data science, AI/GenAI), as well as data cleaning and preparation, with direct experience in financial services or technology sectors preferred. Proficiency in Python and SQL, TensorFlow, PyTorch, XGBoost, scikit-learn. Strong grasp of AI and ML frameworks and stacks. Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous. Track record of research, publications More ❯
deployment and monitoring tools, version control, and orchestration frameworks (e.g., Docker, Kubernetes, MLflow, CI/CD pipelines). Experience with Python and common ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost) and data-processing tools (SQL, Spark). Typical Education & Experience Experienced (Level 3) Education/experience typically acquired through advanced education (e.g. Associate) and typically 3 or more years' related More ❯
and CI/CD for ML Experience with big data ecosystems (e.g., Spark, Hive, Databricks, Delta Lake) and streaming technologies Proficient in working with ML frameworks like TensorFlow, PyTorch, XGBoost, or similar Experience working in cloud-based environments (AWS, GCP, or Azure) and with infrastructure-as-code tools Hands-on experience with orchestration tools like Flyte, Airflow, Kubeflow, etc. Proficient More ❯
key machine learning models, including Gradient Boosting Machines (GBMs), Neural Networks and Large language models (LLMs). Hands-on experience with popular machine learning libraries such as Scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Knowledge of AWS products and services including Sagemaker. Deep knowledge of Microsoft Excel in a commercial setting. You enjoy being Agile - you should be happy working More ❯
Erskine, Renfrewshire, Scotland, United Kingdom Hybrid / WFH Options
DXC Technology
for a talented OPS Engineer to join our growing teams in Erskine or Newcastle. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with More ❯
GCP (BigQuery, Vertex AI, Cloud Run) Strong SQL complex querying Python for analytics, backend logic, and model prototyping Familiarity with LLM APIs , prompt engineering , embeddings , and traditional ML (e.g. XGBoost , scikit-learn ) Comfortable deploying tools using Docker , Flask/FastAPI , and GCP services Ability to work independently and iterate quickly toward high-quality outcomes Full-stack data capability, from pipelines More ❯
with API platforms such as Postman, Azure API Management or Boomi Experience with BI frameworks and MS Excel Proficiency in Microsoft Office tools Experience in SciKit Learn, TensorFlow, Pytorch, XGBoost,or equivalent libraries. Preferred Qualifications: Experience with Openings Studio in practical or field application, otherwise functional experience in the construction or manufacturing industry Functional knowledge in front-end languages such More ❯
UK What you’ll do Research, prototype, and deploy LLM use cases (Q&A, summarisation, document processing) Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you’ll bring Hands-on Python for data science More ❯
What you’ve done 3+ years in Data Science/Analytics (or 2+ with a strong portfolio) delivering models into production. Strong Python (pandas/numpy/scikit-learn; XGBoost/LightGBM; basic PyTorch a plus) and SQL. Solid geospatial skills (PostGIS/GeoPandas/QGIS) and time-series/forecasting know-how. ETL/ELT and data wrangling at More ❯
including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: Key Responsibilities Develop ML/DL models (XGBoost/LSTM/GNN) for fraud detection & risk prediction Optimize models through feature engineering and A/B testing Deploy real-time decision algorithms supporting global business Minimum Qualifications Master More ❯
including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: Key Responsibilities Develop ML/DL models (XGBoost/LSTM/GNN) for fraud detection & risk prediction Optimize models through feature engineering and A/B testing Deploy real-time decision algorithms supporting global business Minimum Qualifications Master More ❯
efficient data transformation for downstream machine learning modeling and analysis. 3. Utilize knowledge of advanced data science techniques and tools, including Python, Apache Spark, SparkML, scikit-learn, TensorFlow, Keras, XGBoost, and Tidyverse, to build various ML-driven applications such as recommendation models, timeseries forecasting, attribution models that address business needs and deliver impactful solutions. 4. Utilize knowledge of AWS, Google … scale data processing, enabling seamless preparation for downstream modeling and analysis. 10. Utilize Python, machine learning, supervised and unsupervised algorithms, and statistical modeling with SparkML, scikit-learn, TensorFlow, Keras, XGBoost, and Tidyverse to build large-scale machine learning models for clustering, segmentation, cancer detection, etc. 11. Utilize AWS SageMaker and Google Cloud Platform for scalable batch inferencing and modeling to More ❯
Data Scientist (LLMs & ML) - UK Remote A fast-growing healthcare organization is seeking a Data Scientist with strong experience in machine learning, deep learning, and Large Language Models (LLMs) to help drive innovation and automation in clinical services. This is More ❯
Erskine, Renfrewshire, Scotland, United Kingdom Hybrid / WFH Options
DXC Technology
team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with … e.g., Git). Excellent problem-solving skills and ability to work independently or in a team. Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with More ❯
