LightGBM Jobs in England

9 of 9 LightGBM Jobs in England

Data Science & ML Engineer

London, United Kingdom
Hybrid / WFH Options
Dept
marketing funnel analysis Proficiency in Python with extensive experience in data science & AI libraries (e.g.scikit-learn, pandas, NumPy, SciPy, etc) Experience with ML frameworks such as TensorFlow, PyTorch, XGBoost, LightGBM, or similar Strong SQL skills and experience with data warehousing solutions (Snowflake, BigQuery, Redshift) Experience with cloud platforms (AWS, Azure, GCP) and their ML services (SageMaker, Azure ML, Vertex AI More ❯
Employment Type: Permanent
Salary: GBP Annual
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AI Engineer

Greater London, England, United Kingdom
Apexon
and paid media. Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : Scikit-learn, XGBoost, LightGBM, StatsModels PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit More ❯
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AI Engineer

South East London, England, United Kingdom
Apexon
and paid media. Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : Scikit-learn, XGBoost, LightGBM, StatsModels PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit More ❯
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MLOps Engineering Manager FullTime London

London, United Kingdom
Trainline plc
mentorship. Have good communication skills. Nice to have Experience deploying LLMs and agent-based systems Our technology stack Python and associated ML/DS libraries (scikit-learn, numpy, pandas, LightGBM, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, ECR, Athena, etc. MLOps: Terraform, Docker, Spacelift, Airflow, MLFlow Monitoring: New Relic CI/CD: Jenkins, Github Actions More More ❯
Employment Type: Permanent
Salary: GBP Annual
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Data Scientist

London, United Kingdom
Nika O
reporting SQL at least basics but by year 3 should be quite proficient with at least pulling data Data Lake implementation and processing. Knowledge of Snowflake or equivalent XGBoost, LightGBM and the ability to use them for tabular data NLP and familiar with modern transformers Experience using Tableau or PowerBI for visualisations and reporting Familiarity with DS front ends like More ❯
Employment Type: Permanent
Salary: GBP Annual
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Lead Data Scientist

London Area, United Kingdom
Hybrid / WFH Options
Harnham
EXPERIENCE 5–7 years of experience in a consumer credit environment, particularly in decision science or data science. Strong technical skills in Python (including libraries like scikit-learn, XGBoost, LightGBM). Experience working with transactional data and credit bureau sources. Familiarity with model monitoring and performance tracking frameworks. Proficient SQL skills for querying and data transformation. Bonus: experience with unsupervised More ❯
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Lead Data Scientist

City of London, London, United Kingdom
Hybrid / WFH Options
Harnham
EXPERIENCE 5–7 years of experience in a consumer credit environment, particularly in decision science or data science. Strong technical skills in Python (including libraries like scikit-learn, XGBoost, LightGBM). Experience working with transactional data and credit bureau sources. Familiarity with model monitoring and performance tracking frameworks. Proficient SQL skills for querying and data transformation. Bonus: experience with unsupervised More ❯
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Machine Learning Engineer

City of London, London, United Kingdom
La Fosse
impactful use cases. Key Skills 3–5 years of hands-on experience across the ML lifecycle Strong Python skills and familiarity with common ML frameworks (Scikit-learn, XGBoost/LightGBM, TensorFlow, PyTorch) Exposure to LLMs or NLP techniques is a plus Experience with cloud-based data platforms and modern MLOps practices Details London (hybrid) £70,000 – £90,000 base Opportunity More ❯
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Machine Learning Engineer

London Area, United Kingdom
La Fosse
impactful use cases. Key Skills 3–5 years of hands-on experience across the ML lifecycle Strong Python skills and familiarity with common ML frameworks (Scikit-learn, XGBoost/LightGBM, TensorFlow, PyTorch) Exposure to LLMs or NLP techniques is a plus Experience with cloud-based data platforms and modern MLOps practices Details London (hybrid) £70,000 – £90,000 base Opportunity More ❯
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