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 »
least 5 years 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 more »
code quality, performance, and scalability. Qualifications Bachelor’s Degree in Computer Science, Information Systems, Mathematics, etc. 7+ years in Python and libraries like PyTorch, NumPy, Pandas, Matplotlib, QuantLib, etc Experience in Systems that handle high-throughput, low-latency data Experience with multi-threading, concurrency, and high-frequency trading (HFT). more »
Experience in deploying production ML systems. - Familiarity with DevOps in a data science context (e.g., MLOps) is a plus. Tools currently being used; - Python3, Numpy, Scipy, Xgboost - CI/CD: GitHub Actions, Jenkins, Docker - MLOps: DVC, MLflow - BI: Terraform, Airflow, BigQuery - LLMs: GPT, Claude And this is what you’ll more »
Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns Personal more »
a Data Scientist, with a strong focus on machine learning and time series forecasting. Expertise in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Solid understanding of ML and data pipeline architectures and best practices. Experience with big data technologies and distributed computing (e.g. more »
Strong problem-solving skills in probability and statistics.Proficiency with data manipulation and modelling tools — e.g., pandas, statsmodels, R.Experience with scientific computing and tooling — e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS.Self-driven with the capability to efficiently manage projects end-to-end.Bonus:Experience building machine learning models from scratch (e.g., built more »
add experts to the machine learning team! The best-matched machine learning engineer will have the following experience and abilities: Tech: Python (ScikitLearn, Pandas, Numpy, Scipy) and GCP Hybrid working in London, 3 days a week in the office Desirable: experience mentoring junior team members and reviewing code Must have more »
Must haves: Looking for a junior Python developer with a few years of professional experience. Proficiency in Python Ideally in data science libraries like NumPy, Pandas etc. Application building experience (multi-processing, API dev etc.) – not just data analysis Competency in SQL Some (but any) cloud experience Strong communication skills more »
publications. Strong experience with Python. Cloud infrastructure is beneficial (Ideally GCP but AWS and Azure is fine). Knowledge of ML libraries (TensorFlow, PyTorch, NumPy, and Pandas etc). Knowledge of Computer Vision. Nice-to-Have Skills or Background: Experience in genomics or bioinformatics research projects in an academic, pharmaceutical more »
Quantitative Researcher – Sports betting Hedge fund – London/Madrid Skills: Python stack (numpy, pandas etc.), R, TensorFlow. *Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship* Job Summary Quantitative Researcher is required for exciting and progressive Sports betting Hedge fund Company with offices in more »
Birmingham, England, United Kingdom Hybrid / WFH Options
Digital Waffle
Computer Vision Frameworks used in Machine Learning and Data Science such as TensorFlow, PyTorch, and scikit-learn. Data Science and Visualisation libraries including Pandas, NumPy, scikit-learn, matplotlib, Seaborn. Cloud services used in machine learning and data science, such as Azure, OpenAI, Hugging Face, AWS ML/AI. Machine Learning more »
and excellence. Requirements: Minimum of 5 years of hands-on experience in machine learning engineering. Proven expertise in regression modelling and time series modelling. Numpy/Pandas/Keras/Tensorslow/XGBoost/Scikit-learn Experienced in GCP preferably Extensive background in deploying and productionizing machine learning models. Strong more »
to develop and deploy AI models. Requirements: PhD in AI or Computer Science with at least one top-tier publication. Strong proficiency in Python, Numpy, Scipy, and Tensorflow/PyTorch. Extensive understanding of state-of-the-art LLMs and the latest research methods and best practices. Experience in developing ML more »
Well-established systematic hedge fund is looking for a new Python Quantitative Developer to join their Trading Technology Team in London. This is a front office role and a combination of software/core development and some maths/quant more »
Python and MLOps Developer - London - Hybrid My client is dedicated to making the world’s intractable data interactable. They address the challenge of sharing essential data needed to solve global problems. Current data infrastructure limitations result in slow, costly, and more »
strong portfolio of previous projects. You will also need in-depth understanding of Python software development stacks, ecosystems, frameworks and tools such as PySpark, Numpy, Scipy, Pandas, sci-kit-learn and PyTorch. You will need to be familiar with RESTful APIs and open-source standards such as Open API and … ROLE: You will have a Bachelor's degree OR equivalent. In-depth understanding of Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, sci-kit-learn and PyTorch. PySpark experience highly preferred or willingness to learn PySpark. Advanced knowledge and prior experience in SQL is required. more »
strong portfolio of previous projects. You will also need in-depth understanding of Python software development stacks, ecosystems, frameworks and tools such as PySpark, Numpy, Scipy, Pandas, sci-kit-learn and PyTorch. You will need to be familiar with RESTful APIs and open-source standards such as Open API and … ROLE: You will have a Bachelor's degree OR equivalent. In-depth understanding of Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, sci-kit-learn and PyTorch. PySpark experience highly preferred or willingness to learn PySpark. Advanced knowledge and prior experience in SQL is required. more »
of general financial products and derivatives. Understanding of market microstructure. Strong skills in Excel and Python, SQL and time-series databases. Experience with Pandas, NumPy, Matlab , R or other mathematical/statistical languages/packages. Excellent communication skills, both written and spoken . ? CMC Markets is an equal opportunities employer more »
integration, modelling, optimisation and data quality Exceptional understanding of Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience with performant more »
Bedford, Bedfordshire, United Kingdom Hybrid / WFH Options
Understanding Recruitment
/CD pipelines alongside architecting and managing cloud infrastructure using TerraformWe'd love to see these skills from you:Proficiency in PythonStrong NLP experience - NumPy, Pandas etc.Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelinesExpertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.)MLOps experienceNice to more »
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 visualization tools (e.g. more »
Senior Data Scientist (German speaking) - UK Remote - Permanent Python (Pandas, NumPy), SQL, Machine Learning, Battery Storage, Renewables ***Please note this role does not offer sponsorship, and you must be based in the UK to apply*** I'm currently working with an exciting global energy storage business. They operate in the … and fits your skill-set, please apply below and I'll be in touch! Senior Data Scientist (German speaking) - UK Remote - Permanent Python (Pandas, NumPy), SQL, Machine Learning, Battery Storage, Renewables more »
programming and algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial markets, trading instruments, and market microstructure. more »
