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 Exceptional communication skills, able to engage confidently with non-technical stakeholders Experience resolving operational more »
in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine LearningDeep expertise in Python (production-level) and SQLProficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deploymentExceptional communication skills, able to engage confidently with non-technical stakeholdersExperience resolving operational or customer more »
but general SQL knowledge more important) Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Delivering insights using visualisation tools or libraries (Javascript preferred) Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning more »
but general SQL knowledge more important)Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn)Delivering insights using visualisation tools or libraries (Javascript preferred)Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning more »
Intelligence including ML and AI techniques to develop predictive models and enhance algorithmic strategies. Familiarity with libraries and frameworks like TensorFlow, PyTorch, or Scikit-Learn can be particularly useful. • Knowledge of risk management software and tools to monitor, measure, and manage the various types of financial risks faced more »
and Artificial Intelligence including ML and AItechniques to develop predictive models and enhance algorithmic strategies. Familiaritywith libraries and frameworks like TensorFlow, PyTorch, or Scikit-Learn can be particularlyuseful.• Knowledge of risk management software and tools to monitor, measure, and manage thevarious types of financial risks faced by the 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 »
storage and 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/OPS 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 »
similar role, with a strong emphasis on engineering Proficiency in Python programming and experience with relevant libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Extensive experience of deploying a cloud platform (GCP, AWS or Azure) Strong proficiency in NumPy for numerical computing and data manipulation tasks. more »
South East London, England, United Kingdom Hybrid / WFH Options
Sanderson
or similar role, with a strong emphasis on engineeringProficiency in Python programming and experience with relevant libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.Extensive experience of deploying a cloud platform (GCP, AWS or Azure)Strong proficiency in NumPy for numerical computing and data manipulation tasks.Proven knowledge more »
learning models and algorithms in real-world applications. - Strong proficiency in Python programming and popular machine learning libraries/frameworks (e.g., 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 »
years in a managerial role overseeing a team of engineers. Proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data science principles, predictive modelling, and advanced analytics. Excellent problem-solving skills and the ability to think critically and more »
associated security considerations. Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development life cycle (SDLC) methodologies. more »
associated security considerations. Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development life cycle (SDLC) methodologies. more »
SENIOR DATA SCIENTIST Customer & Marketing 💰£550 - £600 per day ⏰ 3 months + 🏠 Hybrid/London 📌Work across a range of clients in retail, telco, automotive and healthcare industries 📌Deliver a range of machine learning and AI solutions to support omnichannel more »
modeling, and evaluation Understanding of software engineering concepts, especially best practices within development Experience with machine learning Python frameworks like PyTorch, Tensorflow, and Scikit-Learn Desirable Skills for Senior Candidates: Familiarity with related academic fields such as NLP, Computer Vision, or Deep Learning Demonstrable industry experience with significant 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 »
Job DescriptionSENIOR DATA SCIENTISTCustomer & Marketing💰£550 - £600 per day⏰ 3 months +🏠 Hybrid/London📌Work across a range of clients in retail, telco, automotive and healthcare industries📌Deliver a range of machine learning and AI solutions to support omnichannel more »
Strong proficiency in programming languages commonly used in machine learning, preferably Python. Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proven track record of developing and implementing machine learning solutions in a professional setting. Passion for exploring new technologies and more »
building and maintaining cloud Data Warehouses 2+ years’ experience of Snowflake configuration, deployment and maintenance Extensive hands-on experience of using Python commercially (scikit-learn, pandas, numpy, etc.) Extensive hands-on experience of using Azure to import, store, process and archive data If you feel your experience is 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 »
deep understanding of its inner workings, including memory management, concurrency, and performance optimization. Proficiency in data science and machine learning libraries such as scikit-learn, TensorFlow, and PyTorch, with hands-on experience in developing and deploying machine learning models in production environments. Familiarity with financial markets and trading 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 »
