1 to 25 of 29 Remote scikit-learn Jobs

engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI ...

mentorship to junior engineers Required Experience & Skills Core Technical Skills Strong hands‐on experience with Python , and at least one of: TensorFlow, PyTorch, scikit‐learn Practical experience with LLMs and Generative AI , including: Prompt engineering Retrieval‐Augmented Generation (RAG) Agentic workflows Experience deploying AI on cloud platforms (Azure ...

practices for data governance, security, and MLOps on GCP Proficiency with Python and common AI/ML frameworks such as TensorFlow, PyTorch, JAX, scikit learn, and Hugging Face libraries Knowledge of MLOps and LLMOps practices-including CI/CD for models, model registry/versioning, feature stores, orchestration ...

practices for data governance, security, and MLOps on GCP. Proficiency with Python and common AI/ML frameworks such as TensorFlow, PyTorch, JAX, scikit learn, and Hugging Face libraries. Knowledge of MLOps and LLMOps practicesincluding CI/CD for models, model registry/versioning, feature stores, orchestration ...

GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour). Engineering & Stack: Python: Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong SQL skills and experience building data pipelines. Experience: Education: Degree in a quantitative field (Statistics, Mathematics, Computer Science, etc. ...

Experience Minimum 1+ year of commercial experience in machine learning or data science Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost Exposure to AWS services (e.g. S3, Lambda, SageMaker) Understanding of core ML concepts: model evaluation, validation, and experimentation Familiarity ...

data science expertise Machine learning and AI delivery Generative AI/LLM experience Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit‐learn) Deep learning and NLP stacks (PyTorch, HuggingFace Transformers) MLOps and model operationalization Responsible AI awareness Additional Requirements: Security clearance (SC/BPSS ...

experience as a Machine Learning Engineer or equivalent role Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with cloud-based ML deployment (e.g., AWS SageMaker, Lambda, S3) Knowledge of MLOps/LLMOps tooling (e.g. ...

delivering ML/AI solutions into production environments Strong Python expertise and experience with modern AI/ML frameworks such as: PyTorch TensorFlow scikit-learn NumPy Pandas Hands-on experience with Generative AI, agentic AI systems, and AI testing frameworks Strong communication skills and a passion for clear ...

Science, Artificial Intelligence, Mathematics, Data Science or similar Strong programming skills in Python Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn Experience working with large datasets and building data pipelines Knowledge of cloud platforms such as AWS, GCP, or Azure Experience developing and deploying ...

client in conjunction with this vacancy only. KEY SKILLS AI, Python, Machine Learning, Software Engineering, Data, APIs, Cloud, Agile, Python, TensorFlow, PyTorch, Scikit-learn, XGBoost, NLTK, OpenAI, LangChain, Pandas, NumPy, MLflow, Kubeflow, Docker, Kubernetes, Azure Machine Learning, Google Vertex ...

knowledge sharing. Ideal Background Strong analytical mindset and passion for deriving actionable insights from complex data. Proficient in Python or R (pandas, NumPy, scikit-learn, TensorFlow or equivalent) and SQL. Experience as a data scientist on client-facing software solutions, ideally in optimisation or energy-focused domains. Solid ...

applications from women who are passionate about machine learning and eager to grow: Strong Python skills and experience with ML libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch). Familiarity with model deployment and serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe). Experience with ...

Scientist with production ML exposure Strong understanding of ML algorithms, model development, and deployment Experience with Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Familiarity with data pipelines and cloud or on-prem environments Understanding of MLOps principles Ability to work in secure or regulated environments Eligibility ...

based work. Experience with relational databases and at least one programming language (Python preferred). Familiarity with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) and cloud platforms (AWS, Azure, GCP). FAA or federal experience preferred but not required. Ability to translate complex AI concepts into actionable ...

high-impact work. What we need from a Lead Machine Learning Engineer: • Strong Python skills and experience operationalising models with frameworks like Scikit-learn, TensorFlow, or PyTorch. • Cloud and full-stack experience (AWS, Azure, or GCP) with containerisation (Docker) and orchestration (Kubernetes). • Recognised technical expert with deep ...

high-impact work. What we need from a Lead Machine Learning Engineer: Strong Python skills and experience operationalising models with frameworks like Scikit-learn, TensorFlow, or PyTorch. Cloud and full-stack experience (AWS, Azure, or GCP) with containerisation (Docker) and orchestration (Kubernetes). Recognised technical expert with deep ...

measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working closely ...

measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working closely ...

equivalent role Strong expertise in AI, machine learning, and statistical methods Proficiency in Python and ML/data analysis libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers, statsmodels) Experience with cloud-based ML deployment (e.g., AWS services) Ability to absorb complex scientific concepts and apply them to real ...

best practices for distributed systems MSc or higher degree in Computer Science, Software Engineering or a related field Familiarity with ML frameworks (e.g. scikit-learn, PyTorch) or AI system integration Experience contributing to open-source projects or technical publications Working at Malted We’re based in Edinburgh ...

every box, but you should recognise yourself in most of these: • Strong skills in Python or R • Experience with ML frameworks such as Scikit‐learn, TensorFlow, PyTorch • A solid understanding of machine learning, statistics, and modelling best practice • Competence with SQL and real‐world, imperfect data • Experience ...

environments. We're looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). ...

scientific computing Experience developing, training, and optimising machine learning models Familiarity with common ML tools and frameworks such as PyTorch, pandas, and scikit-learn Experience working with large datasets and high-performance computing (HPC) environments Strong analytical and problem-solving skills in complex technical environments Ability to communicate ...

Data/Machine Learning Ops Engineer Location: Erskine, Scotland (Hybrid 2/3 days per week in the office) Candidates must be eligible for clearance. DXC Technology (NYSE: DXC) is a leading independent, end-to ...