City of London, London, United Kingdom Hybrid / WFH Options
E.ON Next
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 ● Strong visualisation skills including experience with Tableau ● Familiarity with Git-based source control methodologies more »
London, England, United Kingdom Hybrid / WFH Options
E.ON Next
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 ● Strong visualisation skills including experience with Tableau ● Familiarity with Git-based source control methodologies more »
Central London / West End, London, United Kingdom Hybrid / WFH Options
E.ON Next
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 ● Strong visualisation skills including experience with Tableau ● Familiarity with Git-based source control methodologies more »
environment. Systems/Internal Processes Familiarity with programming languages such as Python, R or Java and with data analysis libraries (e.g. Pandas, NumPy, scikit-learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data mining and querying. Knowledge of Big Data Tools (Spark or more »
language processing (NLP) and its applications. Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects. Previous experience in working on Spark, Hive, and SQL, Preferred qualifications, capabilities, and skills Financial service background PhD more »
retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, ScikitLearn, and other relevant tools. Manage Azure DevOps, CI/CD pipelines, GitHub, and Kubernetes (AKS) for efficient software development and deployment. Implement ML more »
natural language processing, computer vision, and data analytics. Familiarity with AI frameworks, tools, and platforms commonly used in product development (e.g., TensorFlow, PyTorch, scikit-learn). Proficiency in agile methodologies and product management best practices, including user story development, backlog management, and sprint planning. Solid analytical and problem more »
to explain and present the findings of technical work to non-expert audiences Fluency with Python machine learning and data science packages (pandas, scikit-learn, Apache, Spark, DASK, Tensorflow, etc.) or experience with programming languages and willingness to learn Python For engineering, experience in a DevOps role more »
Cambridge, Cambridgeshire, East Anglia, United Kingdom Hybrid / WFH Options
Set2Recruit
for optimal outcomes. Lead and guide a team of highly skilled professionals. Requirements : Proficiency in Python, including libraries such as numpy, pandas, and scikit-learn Experience with deep learning frameworks (PyTorch, JAX, Keras, Tensorflow) Strong theoretical understanding of machine learning and neural networks Experience with containerized processes (Docker more »
learning models and algorithms in real-world applications. - Strong proficiency in Python programming and popular machine learning libraries/frameworks (eg, 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 »
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 »
the ability to develop skills and experience in the following would be considered core requisites to undertake the role: SQL Python (e.g. Pandas, SciKitLearn) AI/Machine Learning PowerBI SSIS/SSRS R Microsoft SQL Server (multiple versions) About us The Royal Cornwall Hospitals NHS Trust is more »
S3, Lambda, Step Functions, Athena/Glue, CodePipeline Containers orchestration using CloudFormation, Terraform, Docker, Kubernetes Experience in development using Python, particularly using TensorFlow, PyTorch, scikitlearn, boto3 and the Python Data Science stack (pandas, numpy etc.) Why work at GlobalLogic. Our goal is to build an inclusive positive culture where everyone 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 »
scientists Proficiency in data forecasting, analysis, prediction, and deriving trading signals from datasets. Extensive hands-on experience with TensorFlow (and/or Keras), scikit-learn, and related tools, coupled with a strong command of Python. Robust analytical and mathematical abilities essential for model development and validation. Exceptional problem more »
Leicestershire, England, United Kingdom Hybrid / WFH Options
Harnham
their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in Forecasting & AB testing. Leadership Expertise in utilizing SQL for data more »
of timely project delivery. Strong programming, statistics, mathematics, and ML algorithm fundamentals, with Python expertise. Familiarity with ML/DS frameworks (e.g., XGBoost, Scikit-learn) and modern OOP practices. Proficient in development best practices and version control (e.g., Git). Knowledgeable in memory, disk I/O, and more »
Borehamwood, England, United Kingdom Hybrid / WFH Options
Addition+
processing, and stream processing. Experience with or at least an interest in Machine Learning and widely used technologies, such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch. Knowledgeable about key MLOps concepts such as CI (including data aspects), CD (specific to ML), CT (Continuous Training), feature stores more »
computer science or related field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit-learn or other standard ML and deep learning libraries Familiar with commonly used machine learning algorithms and experience in using at least one deep more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in Forecasting and propensity. Expertise in utilizing SQL for data acquisition more »
sources and explore novel methodologies to uncover groundbreaking insights. Required Skills: Proficient in Python 3 and popular data science tools such as pandas, scikit-learn, and more. Extensive experience in creating and fine-tuning machine learning models. Knowledge of time series forecasting and optimisation techniques for accurate predictions. more »
knowledge of existing audit methodologies Liaison with audit teams and audit clients to develop innovative approaches Data transformation and modelling (e.g. pandas and scikit-learn in Python); Data storage and querying (e.g. SQL, Alteryx, Python); Data visualisation experience (eg PowerBI, Tableau) Understanding of common data quality issues and more »
knowledge of existing audit methodologies Liaison with audit teams and audit clients to develop innovative approaches Data transformation and modelling (e.g. pandas and scikit-learn in Python); Data storage and querying (e.g. SQL, Alteryx, Python); Data visualisation experience (eg PowerBI, Tableau) Understanding of common data quality issues 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 »
statistical methods and model building to extract valuable insights from data. Proficient in Python and its core data science libraries (Pandas, Jupyter Notebook, Scikit-learn, NumPy, SciPy, etc.) for efficient data manipulation and analysis. Data Wrangling: You have the skills to tackle messy data sets with confidence, cleaning more »