626 to 650 of 707 scikit-learn Jobs in the UK

At Depop, machine learning is integral to our value proposition. We are looking for an MLOps Engineer to help level-up how ML solutions are delivered at Depop. You will be responsible for enabling our ML Scientists - currently spread across More ❯

strategy and architecture design Build and scale our AI/ML capabilities Develop our cloud infrastructure Drive innovation and technical excellence AI/ML technologies (not limited to); PyTorch, SciKitLearn, TensorFlow. Cloud infrastructure (AWS/Azure) API integration capabilities; preferably REST API. Data processing at scale Extensive knowledge and experience with bayesian neural networks is preferred. Qualifications: Must Have: A More ❯

Statistical Arbitrage Quant Researcher Locations: London The Firm: A leading multi-strategy hedge fund with ~$30 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 ❯

Machine Learning/Semantic Web - FTC (6 Months) - West London We have an opportunity available for an experienced AI/ML Engineer to join a team based in Egham. This position requires immediate start so we politely request that you More ❯

Join to apply for the Data Architect role at Supermercados Guanabara 4 days ago Be among the first 25 applicants Join to apply for the Data Architect role at Supermercados Guanabara Get AI-powered advice on this job and more More ❯

skills & experience (listed is our current software solution): ExData visualisation tools (PowerBI) and manipulating data (Python/Excel/VBA/SQL/Databricks/Spark), Analytical models (Python: SciKitLearn, Imblearn, Prophet, XGBoost, ExtraTrees, Kmeans Clustering), Web Scraping (Python: Selenium, Chrome driver, BeautifulSoup) and understanding of Databases (Oracle/SAP Hana/AWS). At Evri, we know we only More ❯

skills & experience (listed is our current software solution): ExData visualisation tools (PowerBI) and manipulating data (Python/Excel/VBA/SQL/Databricks/Spark), Analytical models (Python: SciKitLearn, Imblearn, Prophet, XGBoost, ExtraTrees, Kmeans Clustering), Web Scraping (Python: Selenium, Chrome driver, BeautifulSoup) and understanding of Databases (Oracle/SAP Hana/AWS). At Evri, we know we only More ❯

Direct message the job poster from Trainline We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey More ❯

Join us on our mission to make a better world of work. Culture Amp is the world's leading employee experience platform, revolutionizing how 25 million employees across more than 6,500 companies create a better world of work. Culture More ❯

Join us on our mission to make a better world of work. Culture Amp is the world’s leading employee experience platform, revolutionizing how 25 million employees across more than 6,500 companies create a better world of work. Culture More ❯

Join to apply for the Senior Machine Learning Engineer role at Lyst 4 days ago Be among the first 25 applicants Join to apply for the Senior Machine Learning Engineer role at Lyst Lyst is a global fashion shopping platform More ❯

build a platform that delivers predictive insights and intelligent guidance to users. The platform is architected using Python, Node.js, cloud-native tooling, and cutting-edge libraries such as Scikit-learn and TensorFlow. What is on offer: • The chance to lead and scale real ML and data analytics systems in production • Direct ownership across APIs, backend services and data … machine learning models to real-time and structured data • Developing across SQL and NoSQL data systems to support performance and scale • Working in Python with libraries such as Scikit-learn and TensorFlow for model deployment • Deploying and optimising services on cloud platforms such as Azure or AWS • Supporting end-to-end product development alongside architects and stakeholders The … ML or AI tooling • Experience developing integrations across systems and services • Strong knowledge of both SQL and NoSQL databases • Python as a primary language, including libraries such as Scikit-learn or TensorFlow • Exposure to cloud platforms such as Azure or AWS • Familiarity with Git and code repository tools Desirable: • Experience in enterprise-scale environments • Knowledge of Java in More ❯

build a platform that delivers predictive insights and intelligent guidance to users. The platform is architected using Python, Node.js, cloud-native tooling, and cutting-edge libraries such as Scikit-learn and TensorFlow. What is on offer: • The chance to lead and scale real ML and data analytics systems in production • Direct ownership across APIs, backend services and data … machine learning models to real-time and structured data • Developing across SQL and NoSQL data systems to support performance and scale • Working in Python with libraries such as Scikit-learn and TensorFlow for model deployment • Deploying and optimising services on cloud platforms such as Azure or AWS • Supporting end-to-end product development alongside architects and stakeholders The … ML or AI tooling • Experience developing integrations across systems and services • Strong knowledge of both SQL and NoSQL databases • Python as a primary language, including libraries such as Scikit-learn or TensorFlow • Exposure to cloud platforms such as Azure or AWS • Familiarity with Git and code repository tools Desirable: • Experience in enterprise-scale environments • Knowledge of Java in More ❯

on varied and 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 More ❯

on varied and 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 More ❯

and build highly advanced analytical tools. Company: Trust in Soda Qualifications: Essential Requirements: Extensive experience in deploying products Solid experience with Python, and associated libraries such as scipy, scikit-learn and pandas/numpy Experience creating NLP/DL/RNN models Experience with Image Processing and CNNs Excellent communication skills Degree in CS, maths, statistics, engineering, physics More ❯

deep learning methods and machine learning Experience in building machine learning models for business applications Experience in applied research Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy, etc. Experience in implementing Computer Vision algorithms Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯

such as Numpy and Pandas Experience with MongoDB, BigQuery, and data visualization tools Experience with designing, training, and evaluating machine learning models Familiarity with AI frameworks (Pytorch, TensorFlow, scikit-learn) Understanding of Test Driven Development, SOLID principles, and optimization techniques Interest in DevOps Benefits 25 days Annual Leave + 8 Bank Holidays, with additional days based on service More ❯

technology on highly visible and large-scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques, and frameworks. Proficiency in Python, Pandas, TensorFlow, Scikit-learn, Numpy, SciPy. Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.). Ability to work with databases like SQL Server More ❯

latest technology on highly visible, large-scale projects. What you'll bring to the role Strong grounding in ML approaches, techniques, and frameworks Proficiency in Python, Pandas, TensorFlow, Scikit-learn, Numpy, SciPy Experience deploying models to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.) Ability to work with databases such as SQL More ❯

term internship) in data science or climate modeling. SKILLS Proficient in statistics, applied mathematics and machine learning methods; Capable of building high-performance algorithms; Proficiency in Python (e.g. scikit-learn); Fluency in English (written and verbal communication) required; Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish...) is valued. MINDSET Interested in weather and natural More ❯

term internship) in data science or climate modeling. SKILLS Proficient in statistics, applied mathematics and machine learning methods; Capable of building high-performance algorithms; Proficiency in Python (e.g. scikit-learn); Fluency in English (written and verbal communication) required; Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish...) is valued. MINDSET Interested in weather and natural More ❯

if you are : From a PhD or MSc background in a highly numerate subject with strong experience in NLP & Machine Learning projects Programming skills in Python & knowledge of scikit-learn You can be either a recent graduate or have commercial experience Ideally you will have a background of working within globally renowned research institutions Keen to be part More ❯

to turn complex challenges into scalable solutions. We seek someone hands-on, curious, and eager to make a difference. You should have strong Python skills, particularly with the scikit-learn ecosystem and MLFlow, and be confident working with SQL on large datasets. A solid understanding of supervised and unsupervised learning techniques, as well as experience deploying models in More ❯

a (small) team and managing business projects; Prior experience in structuring, pricing & underwriting (parametric) insurance covers for climate risks is a plus. SKILLS Proficiency in Python (e.g. pandas, scikit-learn); Proficiency in statistics, probabilities, applied mathematics and machine learning methods; Eye for quality, autonomous and attention to detail; Fluency in English (written and verbal communication) is required; Good More ❯