in financial markets, particularly rates, FX, or credit. Proficiency in financial mathematics, modeling, and statistics. 3+ years of development experience with Python (pandas/numpy, etc.) Strong analytical skills and problem-solving capabilities. Proven experience working in a front-office trading environment. Excellent communication skills and ability to work independently more »
principles. Proficiency in working with large datasets and databases (e.g., SQL, NoSQL). Hands-on experience with data processing frameworks/libraries (e.g., Pandas, NumPy, Spark). Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with distributed computing platforms (e.g., Hadoop, Apache more »
You Proficiency in machine learning methodologies and algorithms Expertise in popular data science platforms such as Alteryx and Python, including libraries and frameworks like NumPy, SciPy, Pandas, NLTK, TensorFlow, PyTorch, and Airflow Strong understanding of statistical analysis, encompassing distributions, statistical testing, regression, and other techniques Experience handling unstructured data sets more »
to £300pd Outside IR35 for an initial 6 months. You need to be experienced in the following Python JavaScript SQL AWS Bonus skills Pandas NumPy Ansible/Terraform/Jenkins What you need to do now If you feel like this Python Developer contract position based around Bournemouth is a more »
in mind you’ll need to have the following: Extensive software engineering/data engineering experience with Python and it's associated libraries - Pandas, Numpy, PySpark. A background in Java/C# would be beneficial to show programming aptitude. AWS, Kafka, Redis Experience within a trading technology environment would be more »
including data scientists, engineers, and business stakeholders to understand project requirements and translate them into technical solutions. Utilise Python libraries and frameworks such as NumPy, Pandas, SciPy, and scikit-learn to perform data manipulation, statistical analysis, and machine learning tasks. Optimise code for performance, scalability, and maintainability, ensuring adherence to more »
Birmingham, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're more »
Newcastle Upon Tyne, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're more »
Wealth Management environment. Systems/Internal Processes Familiarity with programming languages such as Python, R or Java and with data analysis libraries (e.g. Pandas, NumPy, scikit-learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data mining and querying. Knowledge of Big Data Tools (Spark or more »
identify and mitigate development risks effectively. · Ideally, have exposure to DEVSECOPS best practices and disciplines. · Experience of automation of QA scripts · Knowledge of geopandas, numpy, JavaScript, node or SQL is desirable but not essential · Three or more years’ experience as a senior developer or equivalent role · Excellent communication skills with more »
problem-solving skills. Have some knowledge of, and be willing to develop in, at least two of: RESTful APIs, JavaScript, CSS3 + SASS, Pandas, NumPy, Django, PostgreSQL, time series DBs and AWS cloud. Have some knowledge or experience working with Git, Linux, and standard software development tools. Able to work more »
at scale. Deep knowledge of machine learning algorithms applied to solving business problems. Proficiency in Python and popular Data Science frameworks (e.g. pytorch, pandas, numpy etc) and MLOps platforms (e.g. Sagemaker) Solid understanding of metrics, benchmarking and evaluation methodology AI-powered user-facing products. Experience working in highly collaborative environments more »
using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, Flask. Frontend: React, Next.js. Data Science: Python, Jupyter, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Weights and biases. Infra: Pulumi, Docker, AWS AppRunner, Step Functions, Grafana cloud monitoring, Prefect. Who you are Must haves: Experience using Python with one more »
modeling, Pricing, and optimization. Day to day you will focus on creating new models and building and implementing new libraries in Python (Pandas and Numpy), you will contribute to a large-scale codebase. Requirements: - Production-level coding in Python with scientific stack, Pandas (C++ is a plus!) - Mathematically minded - Quantitative more »
financial markets Solid understanding of financial markets and products – ideally equities Strong Python skills including data analysis libraries and visualisation tools (Matplotlib, ploty, pandas, numpy) Strong understanding of software development lifecycle and practices including CI/CD Degree or Masters in Engineering, Computer Science, Mathematics or related This is a more »
solutions through architecting and deploying AWS-based systems, and constructing ETL pipelines entirely from scratch. Requirements: 5 years+ commercial experience with Object Oriented Python - Numpy, Pandas, Matplotlib Strong knowledge of AWS Knowledge of SQL Ambitious get up and go mind set Strong communication skills STEM degree (Computer Science degree preferred more »
for machine learning systems. Requirements: 3+ years’ experience building and deploying machine learning systems. Expert in Python. Knowledge of common ML libraries like Pandas, NumPy and Scikit-Learn. Experience with ML workflow orchestration tools (Kubeflow, MLFlow, Airflow etc). Experience with Vertex AI Understanding of CI/CD pipelines and more »
up environment. Proficiency in programming languages such as Python, R, or Java, as well as experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy). Strong knowledge of machine learning techniques and algorithms (e.g., regression, classification, clustering, neural networks). Experience with data visualization tools (e.g., Matplotlib, Seaborn more »
Northampton, Northamptonshire, East Midlands, United Kingdom Hybrid / WFH Options
Dupen Ltd
and SREs in architecting and managing the cloud infrastructure, using Terraform > Mentoring less experienced engineers Senior ML Learning Engineer the environment: > Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy > Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks more »
Manchester, North West, United Kingdom Hybrid / WFH Options
Dupen Ltd
AI projects, this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer – the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning – NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks more »
Employment Type: Permanent
Salary: £50000 - £60000/annum To £60,000 + range of benefits
Milton Keynes, Buckinghamshire, South East, United Kingdom Hybrid / WFH Options
Dupen Ltd
AI projects, this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks more »
Milton Keynes, Bedfordshire, South East, Woolstone, Buckinghamshire, United Kingdom Hybrid / WFH Options
Dupen Ltd
AI projects, this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer – the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning – NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks more »
Employment Type: Permanent
Salary: £50000 - £60000/annum To £60,000 + range of benefits
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 »
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 »
learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as PyTorch, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Experience in building speech recognition, machine translation and natural language processing systems more »
