development skills (OOP) Experience working in a hardware-development context - Scientific Instrumentation/industrial process control/electronics/imaging Scientific application development experience - NumPy, SciPy etc Interfacing with hardware as serial, USB, CANbus or PLC networking devices Excellent technical communication skillsIf you are a Senior Python Software Engineer and more »
frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages such as Python and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Solid understanding of quantitative finance concepts, including asset pricing, risk management, and portfolio optimization. Excellent problem-solving skills and the ability to more »
Person specification: Masters or PhD in a relevant field such as Applied Mathematics, Biomedical Engineering, Chemistry, Physics, Bioinformatics, or related Proficient in Python, SciPy, NumPy, Pandas. Experienced with a range of programming packages including R, SQL and Matlab Proven demonstrated background working with raw signal processing, data analysis and data more »
projects taking ownership and driving innovation of development tasks. We’d love to see these skills from you: Proficiency in Python Strong NLP experience – NumPy, Pandas Commercial hands-on experience with Hugging Face and finetuning LLMs Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch) Nice to have more »
Science, Mathematics, Statistics, Business Administration, or related field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity with machine learning algorithms and techniques, with a deep understanding of their underlying principles. Strong problem-solving skills and meticulous attention to more »
results Providing relevant insights Advancedstatisticalandanalyticaltechniquesand 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 more »
principles. Experience with quantitative modeling techniques, including statistical analysis, machine learning, and time series analysis. Proficiency in data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Excellent problem-solving skills and attention to detail. Prior experience in a quantitative role at a hedge fund, proprietary trading firm, or financial more »
Bedford, England, United Kingdom Hybrid / WFH Options
Understanding Recruitment
pipelines alongside architecting and managing cloud infrastructure using Terraform We’d love to see these skills from you: Proficiency in Python Strong NLP experience – NumPy, Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps more »
Cambridge, Cambridgeshire, East Anglia, United Kingdom Hybrid / WFH Options
Set2Recruit
ecologists to customize methodologies for optimal outcomes. Lead and guide a team of highly skilled professionals. Requirements : Proficiency in Python, including libraries such as numpy, pandas, and scikit-learn Experience with deep learning frameworks (PyTorch, JAX, Keras, Tensorflow) Strong theoretical understanding of machine learning and neural networks Experience with containerized more »
methods and model building to extract valuable insights from data. Proficient in Python and its core data science libraries (Pandas, Jupyter Notebook, Scikit-learn, NumPy, SciPy, etc.) for efficient data manipulation and analysis. Data Wrangling: You have the skills to tackle messy data sets with confidence, cleaning, wrangling, and preparing more »
interacting with others in the team to clarify needs and iterate quickly. C/C++ native coding experience. Preferred skills Experience with python, e.g., numpy, etc. Knowledge of scientific computing, e.g. image processing techniques. Experience working with hardware (not everything can be debugged offline) Key Responsibilities: Designing, implementing, and testing more »
and performance of all trading systems. Provide support for deployed systems, diagnosing and resolving issues rapidly. Requirements: Strong proficiency in Python, with experience in NumPy, Pandas, or similar libraries. Understanding of multi-threaded applications and performance optimization. Background in computer science, engineering, mathematics, or a related field. Experience with real more »
z2bz0 years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib SQL/MySQL/database experience Please note, this is a hybrid position. Candidates who cannot travel to City of London location 2 times more »
z2bz0 years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib/Plotly SQL/MySQL/database experience The ability driving projects from conception to completion Excellent communication skills, Fluency in English is required more »
to work effectively in a fast-paced, collaborative environment. Strong communication and interpersonal skills. Preferred Qualifications: Experience with financial modeling libraries (e.g., QuantLib, pandas, numpy). Knowledge of regulatory requirements such as Basel III, Dodd-Frank, and CCAR. Familiarity with database systems and querying languages (e.g., SQL). Demonstrated ability more »
and digital communication systems will be highly valued. · Signal Processing : Knowledge of signal processing algorithms and proficiency in tools such as MATLAB or Python (NumPy, SciPy) for the simulation and analysis of communication systems. · Regulatory Knowledge : Familiarity with international regulatory standards and compliance requirements for wireless systems (e.g., FCC, ETSI more »
Machine Learning/Deep Learning algorithms with frameworks such as Tensorflow/Pytorch Proficiency in Python with associated data processing/machine learning toolkits (Numpy, Scipy, Tensorflow/PyTorch, Jupyter notebooks, etc) Able to collaborate closely with internal and external teams and build trust Strong technical acumen and passion for more »
Machine Learning/Deep Learning algorithms with frameworks such as Tensorflow/Pytorch Proficiency in Python with associated data processing/machine learning toolkits (Numpy, Scipy, Tensorflow/PyTorch, Jupyter notebooks, etc) Able to collaborate closely with internal and external teams and build trust Strong technical acumen and passion for more »
excel in data analysis and visualization. a meticulous coder with an eye for readability, with experience in python and industry standard data science packages (numpy, pandas, matplotlib, sqlite, or others) Able to use sql syntax writing and workflows You have good familiarity with file/data formats, such as markdown more »
About you: 5+ years experience in software engineering or data science with a focus on machine learning Experience in the python library - Pytorch, Pandas, Numpy, Tensorflow, Scikit-learn Experienced working in a microservice-based architecture# Experience working with Docker or Kubernetes Strong interest in ML and keeping up to date more »
super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practices with a modern ML/Data/Cloud engineering technical stack If you’re interested in more »
Help grow the ML Team as the company expand Requirements Strong Python programming skills Understanding of NLP and Data Science Libraries (scikit-learn, Pandas, NumPy etc) Experience deploying ML Models and NLP pipelines into production Strong communication skills Empathetic with the desire to work in a company supporting women's more »
machine learning, 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 »
and React Conatinerisation and IaaC: Docker, Terraform Databases: PostgreSQL, TimescaleDB & NoSQL Databases At least one major cloud platform (GCP Preferred) Familiarity with Python including NumPy, Pandas The Company A well backed start up who bring together huge experience within their space and are delivering a game changing platform within the more »
Manchester Area, United Kingdom Hybrid / WFH Options
NearTech Search
experiments, and results to ensure transparency and facilitate knowledge sharing. What you’ll need to bring experience of: Python Machine Learning Libraries (PyTorch, TensorFlow) NumPy/Pandas Matplotlib SQL database This role is hybrid in Manchester 1-2 days onsite per week, please consider this if you’re not based more »
