a related field. Experience in AI/Machine Learning research and development. Proficiency in Python. Experience with popular machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Experience with using NVIDIA GPUs for fine tuning AI models Strong mathematical and statistical background. Excellent problem-solving and critical-thinking skills. more »
with a focus on NLP, machine learning, and MLOps. Proficiency in Python and its libraries for data manipulation, analysis, and machine learning (e.g., scikit-learn, TensorFlow, PyTorch). Strong knowledge of AWS services, particularly AWS Sagemaker, and experience working within an AWS environment. Experience with large language models 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 »
working with Git in a version-controlled environment • Experience with cloud platforms desirable (Azure, AWS or GCP) • Experience working with Machine Learning libraries (scikit-learn, PyTorch) and statistical techniques is desirable You'll have an understanding of: • An enthusiastic problem-solving mindset with a desire to solve technical 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 »
to work very closely with the Head of Data. The best-matched Senior Data Scientist would have the following experiance: Tech stack: Python, scikit-learn, pandas, Tensorflow, Pytorch, SQL, AWS Experiance in Natural Language Processing Experiance with AWS Master’s or PhD in Computer Science, or a related more »
machine learning principles. Strong analytical, problem-solving, and communication skills. Ability to work independently and collaboratively. Desirable: Experience with machine learning frameworks (eg, scikit-learn, TensorFlow). Previous industry-specific experience. Certification in Python programming or data analytics. more »
Strong technical skills, proficient in various programming languages, frameworks, and tools for data analysis ad AI development, such as Python, R, TensorFlow, PyTorch, Scikit-learn, etc; Familiar with various data sources, formats, and standards, such as APIs, JSON, XML, CSV, etc, and detail orientated; Experience in developing and more »
as a Data Scientist, adept at statistical modeling, machine learning, and data mining techniques. Familiarity with machine learning algorithms and frameworks such as scikit-learn and PyTorch. Experience with core NLP techniques and knowledge of LLMs is a plus. NEXT STEPS: If this role looks of interest, please 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 »
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 »
experience with cloud data and ML services. Proficiency in deep-learning frameworks (TensorFlow, PyTorch, etc.) & basic libraries for data science e.g. NumPy, Pandas, Scikit-Learn Strong command of standard data science techniques - supervised/unsupervised ML, Bayesian inference, time-series analysis etc. Master's or PhD in relevant more »
perform machine learning experiments on clinical datasets. You will get to work with some of the most innovative tools in the market, including scikit-learn, pandas, Tensorflow, Pytorch, spaCy, and the AWS data stack. The role is hybrid, in central London (zone 1) and they are offering more »
within the financial/lending industry. Strong programming skills in languages such as Python or R. Familiarity with relevant tools and libraries, including scikit-learn, TensorFlow, or PyTorch. Ability to analyze and interpret complex data sets to drive actionable insights. Excellent communication skills to convey technical findings to 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 »
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 »
with stakeholders at different levels BSc or MSc in Data Science, Computer Science, Statistics, or related field Familiarity with machine learning tools like scikit-learn and PyTorch. NEXT STEPS: If this role looks of interest, please reach out to Joseph Gregory more »
language Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as PyTorch, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Experience in building speech recognition 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 »
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 »
Oxford, Oxfordshire, South East, United Kingdom Hybrid / WFH Options
True Worth Consulting Ltd
your creative output to support the development of quarterly product roadmaps. You are fluent in Python and its broader numerical ecosystem (Pandas, NumPy, Scikit-learn, Polars, etc.). You have at least three years of commercial experience developing and productionising real-time Machine Learning and Data Science projects. more »
full training will be provided to fill any gaps in your skill set): Python, R, Data Science, Machine Learning, Artificial Intelligence, PyTorch, TensorFlow, Scikit-learn, Pandas, Identity Providers, oAuth2, Tableau, SQL, MS SQL Server, PostgreSQL, Spacy, NLTK, FlairNLP, Fast API, Django/REST Framework, REST APIs, RDF/ 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 »
