13 of 13 SciPy Jobs in London

modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with IEC 62304 is particularly desirable ...

Quantitative Finance, Mathematics, Physics, Engineering, Computer Science, or a related STEM discipline Strong understanding of data fundamentals and their python implementations (numpy, polars, scipy) Strong knowledge of AI/ML techniques with experience delivering related work into production Curious to explore how AI can improve how we build, deliver ...

lead technical discussions, articulate design decisions effectively, and collaborate with cross‐functional teams. Highly Desirable Scientific Computing: Familiarity with scientific libraries like PyTorch, NumPy, SciPy, and visualisation tools (Matplotlib, Plotly, etc.). CFD Understanding: Any knowledge of aerodynamic design principles or experience with CFD software is a significant plus. ...

leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment ...

verbal) Risk and control-oriented mindset: ability to ask incisive questions, assess materiality of model issues, and escalation issues appropriately. Proficiency in Python (NumPy, SciPy, Pandas, etc). Curious, ownership-driven, and teamwork-oriented mindset. Preferred qualifications, capabilities and skills Prior model validation or front-office quant experience in pricing ...

such as econometrics, statistics, mathematics, physics, or similar. Expert-level Python skills and strong command of the core scientific stack, including Pandas, Scikit-learn, SciPy, and NumPy. Skills & Experience 3–5+ years of experience in data science, machine learning, econometrics, or a related technical field. Proven track record of independently ...

factual grounding. Technical Proficiency Machine learning algorithms: linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing: transformer models, attention mechanisms, word embeddings Computer vision: convolutional neural networks, recurrent ...

data, including querying, aggregation, analysis, and visualization* Strong competencies in Python for data analysis using the python data science libraries (Pandas/NumPy/SciPy/Scikit-learn).* Strong SQL skills for data retrieval, basic analysis, and data cleansing.* Strong knowledge and application of object-oriented design and software ...

STEM discipline Proven experience delivering data science, machine learning or AI solutions in a commercial environment Strong programming capability in Python (Pandas, NumPy, SciPy or similar) Solid grounding in statistics, probability and data analysis AI & LLM Experience Hands-on experience with large language models, including: RAG pipelines Fine-tuning approaches ...

machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial Proven experience implementing CI/CD and DevOps practices ...

machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial Proven experience implementing CI/CD and DevOps practices ...

structured, or unstructured data, especially large-scale text or content datasets. Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib. The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem ...

. Experience with architectures such as YOLO, ViT, ResNet. Ability to write clear, efficient, and scalable code using Python and PyTorch. Experience with numpy, scipy, OpenCV, Albumentations. Analytical detail‐oriented mindset with strong abstract thinking and a solid theoretical understanding of neural networks. Nice-to-have extras Experience ...