learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc. Strong written and verbal communication skills to operate in a cross functional team environment More ❯
related role, with hands-on experience in data science engineering. Proficiency in programming languages such as Python and SQL. Experience with data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques. Familiarity with data visualization tools such as Power BI. Solid understanding of More ❯
and product managers to deploy AI solutions in production environments. Create technical documentation for AI models and workflows. Required Skills & Qualifications Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages like Python, R, or Java. Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning. Strong understanding of data More ❯
London, England, United Kingdom Hybrid / WFH Options
FIND | Creating Futures
Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep More ❯
expert for machine learning techniques, aiding real-world problem solutions. Mentor and coach less experienced colleagues. Skills, Knowledge, and Expertise Strong proficiency in Python, including libraries like Pandas, NumPy, TensorFlow, and PyTorch. Experience with Generative AI, LLMs, and their practical applications. Expertise in data insights, analytics, and predictive modelling. Knowledge of cloud-based data platforms and infrastructure. Familiarity with More ❯
Mathematics, Operations Research, Optimization, Data Science) with relevant industry or research experience, or an MS with equivalent experience. Practical experience with machine learning and deep learning toolkits such as TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas. Ability to design experiments, training frameworks, and evaluate model performance aligned with business goals. Experience with big data, scalable model training, and effective communication More ❯
or a similar role, preferably within the finance industry or at a leading technology company. Strong expertise in algorithms, data structures, multivariate calculus, and linear algebra. Proficient in Python, TensorFlow, PyTorch, or similar languages and frameworks, with experience writing CUDA kernels and profiling GPU code a plus. Excellent communication skills, with the ability to work effectively in cross-functional More ❯
4+ years of relevant industry experience. Strong expertise in deep learning, neural networks, and generative models (GANs, diffusion models). Practical experience with modern machine learning frameworks (e.g., PyTorch, TensorFlow). Advanced programming skills in Python . Strong problem-solving, analytical, and communication skills. Demonstrated ability to work effectively in multidisciplinary, fast-paced, research-driven teams. Preferred Qualifications Experience More ❯
workflows, or intelligent data extraction pipelines. Deep understanding of NLP fundamentals: text preprocessing, language modelling, and semantic similarity. Strong proficiency in Python, including use of ML libraries such as TensorFlow, PyTorch, or similar. Experience with data science tools and platforms (e.g., Jupyter, Pandas, NumPy, MLFlow). Familiarity with cloud-based AI tools and infrastructure, especially within the AWS ecosystem More ❯
techniques, aiding the development of solutions for real world problems. Mentor and coach less experienced colleagues. Skills, Knowledge and Expertise •Strong proficiency in Python, including libraries like Pandas, NumPy, TensorFlow, and PyTorch. Experience with Generative AI, Large Language Models (LLMs) and their practical applications. Expertise in data insights, analytics, and predictive modelling. Knowledge of cloud-based data platforms and More ❯
in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised More ❯
Dash Plotly (or similar Python frameworks like Streamlit) for dashboard creation. Experience with Machine Learning model development and data science workflows (including frameworks such as scikit-learn, PyTorch, or TensorFlow). Experience in Quantitative Finance or strong interest in mathematical/financial modeling, derivatives pricing, or algorithmic trading. Familiarity with ETRM platforms (e.g., OpenLink Endur). Master’s degree More ❯
learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals. Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc. Strong written and verbal communication skills to operate in a cross functional team environment. About Us: At Scale, we believe that the transition from traditional software to AI More ❯
in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised More ❯
a related field (or equivalent practical experience). - 2-3 years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and More ❯
in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised More ❯
techniques, aiding the development of solutions for real world problems. Mentor and coach less experienced colleagues. Skills, Knowledge and Expertise ·Strong proficiency in Python, including libraries like Pandas, NumPy, TensorFlow, and PyTorch. Experience with Generative AI, Large Language Models (LLMs) and their practical applications. Expertise in data insights, analytics, and predictive modelling. Knowledge of cloud-based data platforms and More ❯
GCP or Azure), containerisation (e.g. Docker, Kubernetes), and big data processing frameworks (e.g. Spark, BigQuery). • Expertise in Python and SQL, with working knowledge of ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Demonstrated ability to lead through ambiguity and complexity, making pragmatic and scalable technical decisions. • Excellent communication and stakeholder engagement skills, with the ability to influence More ❯
projects that focus on optimization, demonstrating an ability to mentor teams and manage cross-functional projects effectively Machine Learning Integration: Knowledge in integrating optimization with machine learning techniques (using TensorFlow, PyTorch) to enhance decision-making processes and model performance Cloud and MLOps for Optimization Models: Familiarity with deploying and managing optimization models on cloud platforms (AWS, GCP, Azure) and More ❯
learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc. Strong written and verbal communication skills to operate in a cross functional team environment PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for More ❯
Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised More ❯
London, England, United Kingdom Hybrid / WFH Options
PLOS GmbH
Proficiency in programming languages such as Python, R, and SQL, and data analysis libraries (e.g., Pandas, NumPy, SciPy, Tidyverse). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK). Experience with NLP techniques, such as named entity recognition (NER), topic modeling, semantic similarity, and knowledge graph construction. Demonstrated ability to communicate complex technical More ❯
of experience in AI engineering or a related role. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Machine Learning Knowledge: Strong understanding of machine learning algorithms, neural networks, and deep learning techniques. Analytical Skills: Excellent analytical and problem-solving skills, with the More ❯
learning to real world commercial problems Experience bringing live services using machine learning and python to production. Expert knowledge of Python and relevant libraries (numpy, pandas, matplotlib, Scikit-learn, tensorflow, etc...) knowledge in other programming languages is valuable, but this is primarily a Python shop. Experience with things like CI/CD pipelines, Docker or similar, cloud hosting, good More ❯
