1 to 25 of 56 Permanent scikit-learn Jobs in England

quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Exceptional communication skills, able to engage confidently with non-technical stakeholders Experience resolving operational more »

similar role, with a strong emphasis on engineering Proficiency in Python programming and experience with relevant libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Extensive experience of deploying a cloud platform (GCP, AWS or Azure) Strong proficiency in NumPy for numerical computing and data manipulation tasks. more »

learning models and algorithms in real-world applications. - Strong proficiency in Python programming and popular machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Deep understanding of machine learning concepts and techniques, including supervised/unsupervised learning, deep learning, reinforcement learning, etc. - Strong communication and interpersonal more »

Strong proficiency in programming languages commonly used in machine learning, preferably Python. Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proven track record of developing and implementing machine learning solutions in a professional setting. Passion for exploring new technologies and more »

building and maintaining cloud Data Warehouses 2+ years’ experience of Snowflake configuration, deployment and maintenance Extensive hands-on experience of using Python commercially (scikit-learn, pandas, numpy, etc.) Extensive hands-on experience of using Azure to import, store, process and archive data If you feel your experience is more »

the Influencer Marketing Awards 2022: “Industry Choice of SaaS or Technology” and “Best Influencer Marketing Technology” OUR DATA STACK: Our main technologies are: Python (ScikitLearn, Pandas, Numpy, Scipy) PostgreSQL Google Cloud KEY REMIT: Your responsibilities will fall across two areas: Creating algorithms and using existing technology to generate reports and more »

s degree in Computer Science, Mathematics, or a related field Strong proficiency in Python and data science stack e.g. Pandas/Numpy/Scikit-learn Experience with data analysis and statistical modeling is a plus Excellent problem-solving skills and ability to work effectively under pressure Experience with more »

Role: Senior Quantitative Researcher (Systematic Equities) - Multiple Headcount Location: London (can also be Dubai) Elite Buy-side Investment Management Firm ($60bn+ AUM) Non-compete: Can wait up to 2 years Ideal Candidate will have experience working in for either buy more »

but general SQL knowledge more important)Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn)Delivering insights using visualisation tools or libraries (Javascript preferred)Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning more »

and Artificial Intelligence including ML and AItechniques to develop predictive models and enhance algorithmic strategies. Familiaritywith libraries and frameworks like TensorFlow, PyTorch, or Scikit-Learn can be particularlyuseful.• Knowledge of risk management software and tools to monitor, measure, and manage thevarious types of financial risks faced by the more »

NLP , and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL , Python ( Pandas , Scikit - Learn , PyTorch ) PhD -level education and experience within Marketing is preferred. Experience in an academic/research background. If you think this opportunity could more »

years in a managerial role overseeing a team of engineers.Proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Strong understanding of data science principles, predictive modelling, and advanced analytics.Excellent problem-solving skills and the ability to think critically and creatively.Experience in the more »

deep understanding of its inner workings, including memory management, concurrency, and performance optimization. Proficiency in data science and machine learning libraries such as scikit-learn, TensorFlow, and PyTorch, with hands-on experience in developing and deploying machine learning models in production environments. Familiarity with financial markets and trading more »

deploying machine learning models in a production environment - ideally in a start-up or scale-up. - Machine learning libraries and frameworks (TensorFlow, PyTorch, scikit-learn). - Python - Big data processing tools (e.g., Spark). The role offers a salary range of between £70-100K depending on experience. more »

deploying machine learning models in a production environment - ideally in a start-up or scale-up.- Machine learning libraries and frameworks (TensorFlow, PyTorch, scikit-learn).- Python - Big data processing tools (e.g., Spark).The role offers a salary range of between £70-100K depending on experience. The more »

DATA SCIENTIST HYBRID (LONDON) £60,000 - £70,000 COMPANY: Join a consumer finance business focused on simplifying the consumer finance experience. Our client is committed to making finance easier for their customers. With its first product, a digital credit card more »

in the company. Machine Learning Engineer - Ideal skillset would include: Top Academics in a relevant field Strong knowledge of TensorFlow, PyTorch, Keras and Scikit-Learn Ideally 1+ year professional experience as a Machine Learning Engineer Research minded and experimental approach to problem solving This is a very innovative more »

Xpertise is on the lookout for a Data Scientist who can play a key role in creating real-world value through the use of data. The organisation is offering someone the autonomy to identify new ways of utilising data using more »

I am currently on the lookout for a Security Cleared Machine Learning Engineer who has extensive experience working in the Azure Cloud Platform. I am currently looking to suppot a Public Sector consultacy who are actively supplying into a Government more »

Statistical Arbitrage Quant Researcher Locations: London The Firm: A leading multi-strategy hedge fund with ~$15 billion in assets under management is seeking an exceptional Medium Frequency Statistical Arbitrage Quant Researcher. With a global footprint and a reputation for excellence more »

but general SQL knowledge more important) Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Delivering insights using visualisation tools or libraries (Javascript preferred) Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning more »

Intelligence including ML and AI techniques to develop predictive models and enhance algorithmic strategies. Familiarity with libraries and frameworks like TensorFlow, PyTorch, or Scikit-Learn can be particularly useful. • Knowledge of risk management software and tools to monitor, measure, and manage the various types of financial risks faced more »

years in a managerial role overseeing a team of engineers. Proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data science principles, predictive modelling, and advanced analytics. Excellent problem-solving skills and the ability to think critically and more »

methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practices with a modern ML/Data/Cloud engineering technical stack If more »

in machine learning engineering. Proven expertise in regression modelling and time series modelling. Numpy/Pandas/Keras/Tensorslow/XGBoost/Scikit-learn Experienced in GCP preferably Extensive background in deploying and productionizing machine learning models. Strong programming skills in languages such as Python, R, or more »