of the system to the next level. The tech stack: Kotlin (Spring: Boot, Data, Cloud and Security), Python (Django/Flask, NumPy, SciPy, Scikit-learn, Pandas, Statsmodels), AWS, Docker, Kubernetes, Kafka, Microservices, TDD. Based in Central London (closest train stations: Tottenham Court Road, Euston, Goodge Street) they re more »
data acquisition, cleaning, and preprocessing to ensure high-quality input for models. Utilise popular ML models and ML frameworks like TensorFlow, PyTorch, or Scikit-learn to create and train models. Work within a team to integrate ML models into larger systems, ensuring that models interface seamlessly with other more »
in Python, Scala, and TypeScript, (ii) data pipelines using Spark, Luigi, Kubernetes, and Terraform, (iii) prototyping and deploying Machine Learning solutions using Pandas, Scikit-learn, and Dask. Job Responsibilities As a Senior Machine Learning Engineer, you will play a pivotal role in developing and implementing advanced ML systems … Data Engineers or Product Managers Experience with functional programming concepts and architecture Keywords: Machine Learning, Data Science, GenAI, Cloud, Python, Recommendation systems, NLP, Scikit-learn, Pandas, Luigi, Airflow, Docker, Git Education Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent Competencies Communicating Effectively Critical more »
Do you have the ability to code to production standards in Python? Are you experienced with ML frameworks such as TensorFlow, PyTorch, and scikit-learn? Do you possess knowledge of and a commitment to sound engineering practices? Are you a strong communicator who enjoys working collaboratively as part more »
the team Adapt Customer Success playbooks for customers in EMEA Strong Plus: Proficiency with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray, any of the GenAI frameworks Experience with data engineering, MLOps and tools such as Docker and Kubernetes Experience with data more »
looking to add experts to the machine learning team! The best-matched machine learning engineer will have the following experience and abilities: Tech: Python (ScikitLearn, Pandas, Numpy, Scipy) and GCP Hybrid working in London, 3 days a week in the office Desirable: experience mentoring junior team members and reviewing code more »
We are looking for a Database Developer having at least 05 years of Database Development experience in multiple sectors of IT. You will be working on in-house as well as client projects. You will develop new systems and maintain more »
Job Description DATA SCIENTIST HYBRID (LONDON) £60,000 - £70,000 COMPANY: Join a consumer finance business focused on simplifying the consumer finance experience. Our client is committed to making finance easier for their customers. With its first product more »
We are looking for an IT Project Manager having 05+ years of Project Management in multiple sectors of IT. You will be working on in-house as well as client projects. Your main duties include project planning, resource allocation, and more »
Measure.Monks, the marketing effectiveness division of Media.Monks, is looking for a bright and personable Data Scientist/Senior Data Scientist at the top of their game to support the next phase of our product and software development roadmap and help more »
Measure.Monks, the marketing effectiveness division of Media.Monks, is looking for a bright and personable Data Scientist/Senior Data Scientist at the top of their game to support the next phase of our product and software development roadmap and help more »
Experience Level: Experienced Hire Categories: Engineering & Technology Location(s): One Canada Square, Canary Wharf, London, E14 5FA, GB Department Moody s Analytics Quantum Computing team explores, researches, and implements quantum computing and communications solutions across the different organizational units of more »
Node.js, Python, Java, or Go. Experience with front-end frameworks like React, Angular, or Vue.js. Strong understanding of machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and tools. Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes). Proficiency in database management (SQL, NoSQL) and data more »
frameworks, preferably with the MLOps context. Unit Testing, Integration Testing, E2E Testing, ETL/ELT Experience or at least knowledge of the following: SciKit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain (or equivalent), RAG, Model Security, Jupyter Notebook/JupyterLab Any experience of SQL, NoSQL, Vector DB, Graph DB more »
Data Scientist - London (Hybrid) - 200k+ Company We are working with a global energy trading organisation who are committed to building a best-in-class Data Science platform, as being at the forefront of data management and analytics is the foundation more »
Forest, XGBoost) and modern deep learning algorithms (e.g., BERT, LSTM). Strong knowledge of SQL and Python's data analysis ecosystem (Jupyter, Pandas, Scikit-Learn, Matplotlib). Advanced Techniques : Familiarity with ensemble methods like bagging and boosting. Understanding of model evaluation, data pre-processing techniques (standardisation, normalisation, handling more »
Senior level Data Scientist Solid knowledge of Data Engineering principles, including productionisation Technical experience with some or all of the following: Python, PySpark, scikit-learn, pandas, Azure Data Services, Databricks. If this sounds of interest, please apply. more »
