1 to 25 of 55 Remote scikit-learn Jobs in London

across engineering, security, and product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js ...

across engineering, security, and product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js ...

3+ years of experience in Machine Learning, Data Science, or related roles. Strong programming skills in Python. Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost. Solid understanding of ML algorithms, statistics, and evaluation metrics. Experience deploying ML models into production environments. Data & Engineering Skills Strong SQL skills ...

3+ years of experience in Machine Learning, Data Science, or related roles. Strong programming skills in Python. Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost. Solid understanding of ML algorithms, statistics, and evaluation metrics. Experience deploying ML models into production environments. Data & Engineering Skills Strong SQL skills ...

Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience ...

Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience ...

natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ● Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ● Experience with ML Ops, including model deployment, monitoring ...

natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ● Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ● Experience with ML Ops, including model deployment, monitoring ...

project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion ...

project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion ...

accuracy, drift, bias) and rollback plans. Collaborate with data engineers and AI engineers on interfaces and SLAs. Required Skills & Experience Python (pandas, NumPy, scikit-learn; PyTorch/TF a plus). Feature engineering, data quality validation, model training and optimisation. MLOps: experiment tracking (eg, MLflow), model registry ...

accuracy, drift, bias) and rollback plans. Collaborate with data engineers and AI engineers on interfaces and SLAs. Required Skills & Experience Python (pandas, NumPy, scikit-learn; PyTorch/TF a plus). Feature engineering, data quality validation, model training and optimisation. MLOps: experiment tracking (e.g., MLflow), model registry ...

domains such as NLP, images, audio, graphs, time series and tabular data Advanced Python skills with experience using libraries such as pandas, numpy, scikit-learn, PyTorch, transformers, statsmodels or PyMC Strong understanding of software and ML engineering best practice (e.g. version control, packaging, model deployment) Ability to communicate ...

domains such as NLP, images, audio, graphs, time series and tabular data Advanced Python skills with experience using libraries such as pandas, numpy, scikit-learn, PyTorch, transformers, statsmodels or PyMC Strong understanding of software and ML engineering best practice (e.g. version control, packaging, model deployment) Ability to communicate ...

junior colleagues and share learnings across the team. Requirements: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow. Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments. Strong experiment design skills: hypothesis formulation ...

such as NLP, computer vision, audio, graphs, time-series or tabular data Strong Python skills and experience with common libraries (e.g. pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels, PyMC) Understanding of software engineering and ML best practices, including version control, packaging and model deployment Experience training and deploying ...

years' experience as a data scientist in industry or related environments. Proficiency in Python and common ML/data libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers). Understanding of software and ML engineering best practices (git, package development, model deployment). Experience with cloud platforms, particularly ...

Senior-level experience in data science or a quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science ...

areas such as NLP, computer vision, time series, graphs or tabular data Advanced Python skills and experience with libraries such as pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels or PyMC Experience delivering end-to-end data science or AI projects, from problem definition through to deployment Good understanding ...

areas such as NLP, computer vision, time series, graphs or tabular data Advanced Python skills and experience with libraries such as pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels or PyMC Experience delivering end-to-end data science or AI projects, from problem definition through to deployment Good understanding ...

years' experience in ML/AI engineering or data science roles (senior level). Hands-on experience with Python ML frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost). Experience with AWS ML services (SageMaker, Lambda, S3) and MLOps/LLMOps tooling (MLflow, Weights & Biases, DVC). Proven track record ...

following: 4-5 years’ experience of hands-on ML experience. Developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow. AWS ML services (SageMaker, Lambda, S3) in production environments. Experiment design, hypothesis testing, and statistical evaluation. Transitioning models from experimentation ...

lifecycle Mentor junior colleagues and share knowledge across the team What we’re looking for: Strong Python skills and experience with ML frameworks (scikit-learn, PyTorch, TensorFlow) Hands-on experience with cloud ML services (AWS SageMaker, Lambda, S3) Experience deploying ML/LLM models into production with MLOps ...

lifecycle Mentor junior colleagues and share knowledge across the team What we’re looking for: Strong Python skills and experience with ML frameworks (scikit-learn, PyTorch, TensorFlow) Hands-on experience with cloud ML services (AWS SageMaker, Lambda, S3) Experience deploying ML/LLM models into production with MLOps ...

junior data scientists and help shape AI best practice Requirements Strong experience in AI, machine learning and statistics Python expertise (e.g. pandas, NumPy, scikit-learn, PyTorch, transformers) Experience deploying models and working with cloud platforms (AWS preferred) Ability to communicate complex technical concepts clearly Desirable AWS services (SageMaker ...