551 to 575 of 713 scikit-learn Jobs in the UK

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 ❯

3+ years of experience as a Quant Developer or in a similar role. Strong programming skills in Python and C++. Experience with Python data science tools (Pandas, Numpy, Scikit-learn). Exceptional coding, debugging, and analytical abilities. Strong problem-solving and communication skills. Ownership mentality with the ability to multitask effectively. Commitment to writing clean, well-tested, and More ❯

3+ years of experience as a Quant Developer or in a similar role. Strong programming skills in Python and C++. Experience with Python data science tools (Pandas, Numpy, Scikit-learn). Exceptional coding, debugging, and analytical abilities. Strong problem-solving and communication skills. Ownership mentality with the ability to multitask effectively. Commitment to writing clean, well-tested, and More ❯

Lead on projects; Participate in Kpler’s Machine Learning community, tackling a broad range of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, PyTorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, YOLO, Detectron2) AWS, Postgres, Apache Airflow, Kafka, Spark Mandatory requirements: At least 5 years More ❯

with LLM pipelines Strong experience working with complex, real-world datasets Previous experience in a startup or scale-up environment Solid understanding of ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Comfortable with experimentation, testing, and deploying ML models in production Excellent communication skills and fluent English Nice to Have Experience with OpenAI, Gemini, or other LLM APIs (prompting More ❯

engage in the design processes this involves. Specifically: • You can write Python to a high standard and are familiar with the standard data science libraries such as pandas, scikit-learn and networkx. • You are capable of developing new algorithms in novel situations and can demonstrate previous work to evidence this. • You are keen to understand the data we More ❯

and Pandas Extensive usage of MongoDB, BigQuery, data visualisation and manipulation tools Experience with designing, training, evaluating machine learning models Familiarity with the main AI frameworks (Pytorch, Tensorflow, scikit-learn) Appreciation of Test Driven Development, SOLID principles and optimisation techniques Interest in DevOps Benefits 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to More ❯

and Pandas Extensive usage of MongoDB, BigQuery, data visualisation and manipulation tools Experience with designing, training, evaluating machine learning models Familiarity with the main AI frameworks (Pytorch, Tensorflow, scikit-learn) Appreciation of Test Driven Development, SOLID principles and optimisation techniques Interest in DevOps Benefits 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to More ❯

and maintain scalable microservices using RESTful APIs and containerized services (Docker/Kubernetes). Integrate AI/ML models into applications using Python, leveraging frameworks such as TensorFlow, scikit-learn, or PyTorch. Collaborate with cross-functional teams including DevOps, Data Science, and UI/UX to implement features and optimize performance. Write clean, maintainable, and efficient code following More ❯

from pipelining to model deployment. Experience with some of the following tools and technologies (or an eagerness to learn): Python and its data science ecosystem (e.g., pandas, scikit-learn, TensorFlow/PyTorch). Statistical methods and machine learning (e.g., A/B testing, model validation). Data pipelining tools like SQL, dbt, BigQuery, or Spark. A strong More ❯

and machine learning Experience in building machine learning models for business application Experience in Computer Vision modelling and techniques 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. Amazon is an equal opportunities employer. We believe passionately that More ❯

ETL: Data Pipelining Tools: Apache NiFi, Apache Kafka, and Apache Flink. ETL Tools: AWS Glue, Azure Data Factory, Talend, and Apache Airflow. AI & Machine Learning: Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, and MXNet. AI Services: AWS SageMaker, Azure Machine Learning, Google AI Platform. DevOps & Infrastructure as Code: Containerization: Docker and Kubernetes. Infrastructure Automation: Terraform, Ansible, and AWS CloudFormation. More ❯

development in a business setting Educated to Bachelor's degree level or equivalent qualification/relevant work experience Excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy) Excellent analytical and data science skills, including ability to independently drive research Excellent communication skills, both written and verbal, with ability to manage multiple stakeholders (beneficial More ❯

product-focused roles Understanding of LTV modeling, forecasting, and experimental design Comprehension of A/B testing methodologies Proficiency in Python for data analysis and modeling (e.g., pandas, scikit-learn, statsmodels) Strong SQL skills and experience working with large datasets in modern data environments Experience working with cross-functional growth or marketing teams Competent user of data visualization More ❯

product-focused roles. Understanding of LTV modeling, forecasting, and experimental design. Comprehension of A/B testing methodologies Proficiency in Python for data analysis and modeling (e.g., pandas, scikit-learn, statsmodels). Strong SQL skills and experience working with large datasets in modern data environments. Experience working with cross-functional growth or marketing teams. Competent user of data More ❯

suite stakeholders and decision-makers. Experienced in using BI tools such as Tableau or Microsoft Power BI. Proficient in Python with strong experience in libraries such as pandas, scikit-learn, and xgboost, and writing clean, modular, and reusable code. Experienced in deploying Python scripts and ML workloads. Familiarity with SQL, including writing complex queries with Common Table Expressions More ❯

As a Data Scientist, you will develop sophisticated algorithms and predictive models, leveraging a broad spectrum of techniques from mathematical and statistical methods to advanced machine learning approaches. You will be working alongside DevOps and software development teams to ensure More ❯

As a Data Scientist, you will develop sophisticated algorithms and predictive models, leveraging a broad spectrum of techniques from mathematical and statistical methods to advanced machine learning approaches. You will be working alongside DevOps and software development teams to ensure More ❯

to-end data science projects, from proof-of-concept through to production, with a focus on operational outcomes. Advanced proficiency in Python and machine learning frameworks such as Scikit Learn, TensorFlow, or PyTorch. Strong SQL skills and experience with data platforms (e.g., Snowflake, cloud-based systems) and visualisation tools. Familiarity with data governance and best practices for assessing More ❯

mathematical and statistical background. An ability to understand and translate data into actionable insights for the business. Strong working knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow and PySpark. Good understanding of industry standard MLOps capabilities. Understanding of the financial industry, in particular insurance, would be advantageous. This is an excellent opportunity More ❯

mathematical and statistical background. An ability to understand and translate data into actionable insights for the business. Strong working knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow and PySpark. Good understanding of industry standard MLOps capabilities. Understanding of the financial industry, in particular insurance, would be advantageous. If you're excited about More ❯

mathematical and statistical background. An ability to understand and translate data into actionable insights for the business. Strong working knowledge of Python and data science packages such as Scikit learn, Keras, TensorFlow and PySpark. Good understanding of industry standard MLOps capabilities. Understanding of the financial industry, in particular insurance, would be advantageous. If you’re excited about the More ❯

in a regulated industry would be highly preferable. You'll be highly numerate with a statistical background, with strong expertise in Python essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. You'll have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL More ❯

operational value in a regulated industry would be highly preferable. You'll be highly numeratewith astatistical background, with strong expertise in Python essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. You'll have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL More ❯

Senior Machine Learning Engineer 📌 Industry: Insurtech 🏢 Company size: Approximately 200 employees 🌍 Working environment: Hybrid (2 days a week in Central London) 💷 Salary: Up to £110K based on experience + bonus Are you passionate about building innovative technology solutions using cutting More ❯