126 to 150 of 195 scikit-learn Jobs in London

performance marketing data.• Proficiency with AWS (SageMaker, Lambda, Step Functions), Snowflake, and modern MLOps tooling. Familiarity with ML frameworks including PyTorch, TensorFlow, scikit-learn, and XGBoost. Experience managing and scaling high-performing data science and ML engineering teams. Working at Tripledot25 days paid holiday in addition to bank ...

signal researchExperience in Prime Finance, securities lending, or inventory management.Familiarity with revenue and yield management strategies.Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).Knowledge of optimization libraries and techniques (e.g., Gurobi, CPLEX, linear/nonlinear programming).Track record of publishing research or presenting ...

Prime Finance, securities lending, or inventory management. Familiarity with revenue and yield management strategies. Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of optimization libraries and techniques (e.g., Gurobi, CPLEX, linear/nonlinear programming). Track record of publishing research or presenting ...

trading, or prediction market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments (EC2, Lambda, RDS) Open-source contributions to AI or crypto projects ...

years of hands‐on kdb+ development experience.Strong expertise in kdb+/q and Python.Proficiency with modern data science toolchains, including Jupyter, pandas, NumPy, scikit‐learn, with applied machine‐learning experience.Solid understanding of parallel computing frameworks such as Slurm or equivalent technologies.Strong background in quantitative analysis, including mathematical modelling ...

hands‐on kdb+ development experience. Strong expertise in kdb+/q and Python. Proficiency with modern data science toolchains, including Jupyter, pandas, NumPy, scikit‐learn, with applied machine‐learning experience. Solid understanding of parallel computing frameworks such as Slurm or equivalent technologies. Strong background in quantitative analysis, including ...

mongodb & kafka).Theoretical proficiency in numerical computing, online algorithms, data structures, networking, databases, and operating systems.Familiarity with typical quantitative research toolchains including Numpy, Polars, Scikitlearn, Pytorch, etc.DevOps: version control, testing frameworks, release processes, build systems.Excellent communication, problem-solving, and analytical skills.Preferred ExperienceExtremely strong computer science or engineering background with 5+ ...

Basic information Location London Business Line Technology & Transformation Job Type Permanent/FTC Date published 07-Sep-2026 Req # 23589 Job description Connect to your IndustryDo you want to be at the heart of ...

evaluation frameworks for ML models, ideally with imaging or comparable scientific image data. Strong Python data-science stack (numpy, pandas/polars, scikit-learn, PyTorch). Familiarity with terabyte-scale imaging data and standard scientific formats. Strong biological grounding and the ability to partner effectively with ...

looking for 5+ years in ML/AI engineering with models shipped to production. Strong Python and the modern ML stack (PyTorch, scikit-learn, etc.). Hands‐on experience with LLMs, embeddings, and retrieval‐augmented generation. Able to balance research curiosity with practical, shippable outcomes. Creative, experimental ...

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). ...

into code Ability to manipulate large financial data sets for empirical research and handle complex Experience with machine learning software libraries such as scikit‐learn, TensorFlow or PyTorch Experience with natural language processing technology, including LLMs and prompt engineering is a plus Strong quantitative skills with demonstrated understanding ...

Computer Science, Applied Mathematics, Data Science, Operations Research, or a related field Strong expertise in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Demonstrated depth in model design, optimization, and evaluation beyond standard off-the-shelf approaches Strong intuition for model failure modes, generalization, and real ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring ...

work on our data so you will need to understand how to develop your own modelsStrong programming skills and experience working with Python, Scikit-Learn, SciPy, NumPy, Pandas and Jupyter Notebooks is desirable. Experience with object-oriented programming is beneficialPublications at top conferences, such as NeurIPS, ICML ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring ...

shipping models to production where being wrong had real consequences — and ability to explain exactly how they were validated Strong Python — pandas, scikit-learn, solid statistical instincts Ability to define evaluation frameworks and metrics independently, not just implement someone else's An independent operator mindset — comfortable setting standards ...

Are you ready to shape the future of banking with cutting-edge AI and machine learning? At JPMorganChase, you’ll lead a talented team, solve complex business challenges, and make a real impact on our ...

Are you ready to shape the future of banking with cutting-edge AI and machine learning? At JPMorganChase, you'll lead a talented team, solve complex business challenges, and make a real impact on our ...

hackajob is partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION Are you ready to shape the future of banking with cutting-edge AI and machine learning? At JPMorganChase, you'll lead a ...

efficiently format and manipulate large, raw data sourcesDemonstrated proficiency in Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, PandasStrong command of foundations of applied and theoretical statistics, linear algebra, and machine learning techniquesCollaborative mindset with strong independent research abilitiesCommitment ...

commerce, retail forecasting, fulfilment logistics, inventory planning, or similar domains. Hands‐on experience with modeling tools such as Python, PyTorch, TensorFlow, scikit‐learn, etc. Hands‐on experience building large‐scale distributed machine learning systems such as Hadoop, Spark, etc. Effective communication skills in Chinese. Equal Opportunity Employment ...

Basic information Location London Business Line Technology & Transformation Job Type Permanent/FTC Date published 07-Sep-2026 Req # 21987 Job description Connect to your IndustryThe financial services industry is experiencing a period of ...

BMI is currently seeking a Data Scientistbased out of our London, Manchester offices BMI's systematic, independent, and data-driven market insights, analysis and forecasts enable customers to recognize and assess risks and opportunities across ...