Remote scikit-learn Jobs in London

1 to 25 of 37 Remote scikit-learn Jobs in London

Junior Data Scientist

London Area, United Kingdom
Hybrid / WFH Options
Intellect Group
Master’s degree from a 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 handling large datasets A passion More ❯
Posted:

Junior Data Scientist

City of London, London, United Kingdom
Hybrid / WFH Options
Intellect Group
Master’s degree from a 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 handling large datasets A passion More ❯
Posted:

Junior Data Scientist

london, south east england, united kingdom
Hybrid / WFH Options
Intellect Group
Master’s degree from a 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 handling large datasets A passion More ❯
Posted:

Junior Data Scientist

london (city of london), south east england, united kingdom
Hybrid / WFH Options
Intellect Group
Master’s degree from a 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 handling large datasets A passion More ❯
Posted:

Data Scientist - Ad Campaign Performance

London, United Kingdom
Hybrid / WFH Options
PCR Digital
deploying productionised Machine Learning applications on a cloud platform (GCP ideal, AWS & Azure also acceptable) * Experience with common Python packages for Machine Learning - examples include PyTorch, TensorFlow, XGBoost, scikit-learn, SciPy, NumPy, pandas, etc. * Strong knowledge of SQL and its use for data preparation & feature engineering * Understanding of & practical experience with implementing MLOps principals - including automated model retraining More ❯
Employment Type: Contract
Posted:

Principal ML Engineer

London, South East, England, United Kingdom
Hybrid / WFH Options
Method Resourcing
at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from More ❯
Employment Type: Full-Time
Salary: £150,000 - £180,000 per annum
Posted:

Lead Data Scientist

London, United Kingdom
Hybrid / WFH Options
Publicis Groupe UK
Qualifications Experience Extensive experience in data science, machine learning, or advanced analytics, ideally in a technical leadership role Proven expertise in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and experience across NLP, computer vision, and LLMs Strong statistical foundation, including A/B testing, causal inference, and experimental design Proficiency in SQL and working with large More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Machine Learning Engineer - Computer Vision

City of London, London, United Kingdom
Hybrid / WFH Options
Explore Group
related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with More ❯
Posted:

Machine Learning Engineer - Computer Vision

London Area, United Kingdom
Hybrid / WFH Options
Explore Group
related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with More ❯
Posted:

Machine Learning Engineer

London, South East, England, United Kingdom
Hybrid / WFH Options
Lorien
accuracy. Stay up-to-date with the latest ML research and tools. Required Skills & Experience Strong proficiency in Python and its ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Hands-on experience with Amazon SageMaker , including training, tuning, and deploying models. Solid understanding of machine learning algorithms and statistical methods. Experience with cloud More ❯
Employment Type: Contractor
Rate: Salary negotiable
Posted:

Machine Learning Engineer - Computer Vision

london, south east england, united kingdom
Hybrid / WFH Options
Explore Group
related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with More ❯
Posted:

Machine Learning Engineer - Computer Vision

london (city of london), south east england, united kingdom
Hybrid / WFH Options
Explore Group
related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with More ❯
Posted:

Data Science Manager London, England, United Kingdom

London, United Kingdom
Hybrid / WFH Options
Zego
operations Technical Skills: Python Proficiency: Strong Python programming skills, with experience in developing and maintaining analytics packages and tools. Familiarity with data science libraries such as pandas and scikit-learn SQL: Proficient in SQL, particularly with cloud data warehouses like Snowflake Statistical Methodology: In-depth knowledge of GLMs and other machine learning algorithms Data Tools: Familiarity with cloud More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Lead AI Engineer

London Area, United Kingdom
Hybrid / WFH Options
KPMG UK
or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices More ❯
Posted:

Lead AI Engineer

City of London, London, United Kingdom
Hybrid / WFH Options
KPMG UK
or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices More ❯
Posted:

Lead AI Engineer

london, south east england, united kingdom
Hybrid / WFH Options
KPMG UK
or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices More ❯
Posted:

Lead AI Engineer

london (city of london), south east england, united kingdom
Hybrid / WFH Options
KPMG UK
or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices More ❯
Posted:

Data Scientist

Central London, London, United Kingdom
Hybrid / WFH Options
Singular Recruitment
background will include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression More ❯
Employment Type: Permanent, Work From Home
Salary: £70,000
Posted:

Data Scientist - sports analytics/betting

City of London, London, United Kingdom
Hybrid / WFH Options
OTA Recruitment
setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations and reports. Familiarity with Git and collaborative development workflows. Good written More ❯
Posted:

Data Scientist - sports analytics/betting

London Area, United Kingdom
Hybrid / WFH Options
OTA Recruitment
setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations and reports. Familiarity with Git and collaborative development workflows. Good written More ❯
Posted:

Data Scientist - sports analytics/betting

london, south east england, united kingdom
Hybrid / WFH Options
OTA Recruitment
setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations and reports. Familiarity with Git and collaborative development workflows. Good written More ❯
Posted:

Data Scientist - sports analytics/betting

london (city of london), south east england, united kingdom
Hybrid / WFH Options
OTA Recruitment
setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations and reports. Familiarity with Git and collaborative development workflows. Good written More ❯
Posted:

Data Scientist

London, United Kingdom
Hybrid / WFH Options
National Centre for Social Research
s degree with additional equivalent experience. Experience with practical application of clustering, predictive modelling, and NLP techniques, with familiarity with at least one major machine learning library (eg. Scikit-learn, statsmodels, spaCy, mlr). Proficiency in Python; knowledge of R or SQL is a plus. Familiarity with coding best practices, such as version control, functional code, and documentation More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Data Scientist - Contract

City of London, London, United Kingdom
Hybrid / WFH Options
Tenth Revolution Group
and testing Develop evaluation pipelines and ensure robust quality control across deployments Essential Skills and Experience: Advanced Python programming skills with experience in libraries such as Numpy, Pandas, Scikit-Learn, Langchain, LlamaIndex Deep expertise in Azure and its AI services, including Azure AI Foundry Hands-on experience with GenAI techniques: prompt orchestration, retrieval methods (RAG, knowledge graphs), agentic More ❯
Employment Type: Contract
Rate: £500 - £600/day
Posted:

Data Scientist - Contract

London, South East, England, United Kingdom
Hybrid / WFH Options
Tenth Revolution Group
and testing Develop evaluation pipelines and ensure robust quality control across deployments Essential Skills and Experience: Advanced Python programming skills with experience in libraries such as Numpy, Pandas, Scikit-Learn, Langchain, LlamaIndex Deep expertise in Azure and its AI services, including Azure AI Foundry Hands-on experience with GenAI techniques: prompt orchestration, retrieval methods (RAG, knowledge graphs), agentic More ❯
Employment Type: Contractor
Rate: £500 - £600 per day
Posted:
scikit-learn
London
10th Percentile
£58,875
25th Percentile
£78,750
Median
£95,000
75th Percentile
£111,250
90th Percentile
£122,750