701 to 725 of 779 scikit-learn Jobs in the UK

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 ❯

key is that you will be deeply involved with productionising and deploying. Strong Python, SQL and programming skills Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS s machine learning infrastructure. Again this is a 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 ❯

of datasets in use across the firm. Their core systems almost all run on Linux and most code is in Python, including extensive use of numpy, scipy, pandas, scikit-learn, etc. Systems that require the highest data throughput are implemented in Java, and they use Dataiku, Snowflake, Prometheus, and ArcticDB heavily. New tools and libraries are constantly assessed More ❯

notebooks or research). Proven leadership experience in either a senior IC or tech lead/managerial capacity. Familiarity with common AI/ML libraries and frameworks (e.g. scikit-learn, PyTorch, TensorFlow). Comfortable navigating greenfield environments and driving projects from concept to execution. Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, or a related discipline More ❯

notebooks or research). Proven leadership experience in either a senior IC or tech lead/managerial capacity. Familiarity with common AI/ML libraries and frameworks (e.g. scikit-learn, PyTorch, TensorFlow). Comfortable navigating greenfield environments and driving projects from concept to execution. Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, or a related discipline More ❯

notebooks or research). Proven leadership experience in either a senior IC or tech lead/managerial capacity. Familiarity with common AI/ML libraries and frameworks (e.g. scikit-learn, PyTorch, TensorFlow). Comfortable navigating greenfield environments and driving projects from concept to execution. Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, or a related discipline More ❯

background in software architecture, object-oriented design, and design patterns Demonstrated experience leading development teams or mentoring engineers Proficiency with ML libraries and frameworks like PyTorch , TensorFlow , or scikit-learn Experience working in globally distributed or cross-functional teams Seniority level Seniority level Mid-Senior level Employment type Employment type Contract Job function Job function Engineering and Consulting More ❯

experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results More ❯