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 »
familiarity with elastic net logistic regression, random forest and XGBoost ensembles to work on supervised problems with structured, tabular data. We currently use Scikit-learn, and we're open to suggestions for additional libraries. Classification using K-means, K-Medoids or similar and the skills to evaluate solution 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 »
proven track record of deploying models in production settings. Advanced proficiency in Python and familiarity with machine learning and deep learning frameworks (e.g. Scikit-learn, PyTorch, TensorFlow). Experience with containerization technologies (e.g., Docker, ECR) and an understanding of GPU acceleration for deep learning. Expertise in a range 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 »
ML model performance using BI tools. The experience you'll bring to the team: - Proficiency in Python, including ML/DL frameworks (e.g., Scikit-learn, TensorFlow) and visualization libraries (e.g., Matplotlib, Seaborn). - Strong SQL skills and experience with data visualization tools (e.g., Tableau). - Basic statistical analysis more »
of professional experience as a python software engineer, preferably in the biotech or healthcare industry- Proficiency in broader Python ecosystem Django, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc.- Experience in machine learning, data science, and data visualization, using tools such as Jupyter, matplotlib, seaborn, plotly, etc.- Knowledge of more »
security and fraud detection.Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency in SQL and familiarity with data 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 creatively.Experience in the more »
effectively. Technical Requirements To succeed in this role, you should have: Understanding of the full machine learning lifecycle and experience with frameworks like Scikit-learn, TensorFlow, or PyTorch. Demonstrable experience mentoring junior team members. Knowledge of probability, statistics, and common machine learning techniques. Experience in software engineering, particularly 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 »
Brighton, England, United Kingdom Hybrid / WFH Options
15gifts
based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow HuggingFace ecosystem [optional] Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc Ability to understand and develop state-of-the-art implementations Familiarity with state-of-the-art deep learning (e.g. transformers more »
deploying machine learning models in a production environment - ideally in a start-up or scale-up.- Machine learning libraries and frameworks (TensorFlow, PyTorch, scikit-learn).- Python - Big data processing tools (e.g., Spark).The role offers a salary range of between £70-100K depending on experience. The more »
concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic more »
concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic more »
knowledge of programming languages commonly used in AI development, such as Python, R, or TensorFlow. Experience with AI frameworks and libraries, such as scikit-learn, spaCy, or PyTorch. Solid understanding of data preprocessing, feature engineering, and model evaluation techniques in AI projects. Proficiency in integrating AI models with more »
development, and deployment of complex machine learning solutions.Expertise in product experimentation, Causal AI, and advanced statistical techniques.Deep knowledge of data science tools (e.g., scikit-learn, TensorFlow, PyTorch) and big data technologies (e.g., Spark).Proficiency in Python for data manipulation, model building, and scripting.Strong communication skills to present findings more »
in the company. Machine Learning Engineer - Ideal skillset would include: Top Academics in a relevant field Strong knowledge of TensorFlow, PyTorch, Keras and Scikit-Learn Ideally 1+ year professional experience as a Machine Learning Engineer Research minded and experimental approach to problem solving This is a very innovative more »
Royston, Hertfordshire, South East, United Kingdom
Vector Recruitment Ltd
Machine Learning Engineer, South Cambridge - £60k - £85k + Superb benefits. Cutting Edge R&D We have a fantastic new opportunity for a Machine Learning Engineer to join a state-of-the-art R&D company based in South Cambridgeshire. You more »
About the Company: We leverage our strong capabilities to build powerful solutions that make a real difference for our clients. We offer a full lifecycle approach to our services, from discovery sessions, design workshops, and business process analysis through to more »
