Cheltenham, Gloucestershire, United Kingdom Hybrid / WFH Options
yolk recruitment
to deliver superior software solutions. Skills Required: In depth experience designing & building backend applications in Python. Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Experience developing in a highly Agile/Scrum environment. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS more »
South East London, England, United Kingdom Hybrid / WFH Options
Climate Policy Radar
tech team 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 areMust haves:Experience using Python with one of the modern more »
South East London, England, United Kingdom Hybrid / WFH Options
Sanderson
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 of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the more »
I have? As our Senior Data Scientist you will have: least 4 years experience in Statistics and Machine Learning with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) least 3 years Python programming experience applying models to Big Data with the principles of Continuous Integration and Deployment (CI/CD more »
South East London, England, United Kingdom Hybrid / WFH Options
NearTech Search
Programming Language – 4-5+ years of experience in a Data Science settingExperience in AI/Machine Learning + either PyTorch/TensorFlowExperience with NumPy/PandasMatplotlib SQL/MySQL/database experiencePlease note, this is a hybrid position. Candidates who cannot travel to City of London location 2 times more »
South East London, England, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
Job DescriptionData Scientist/Analyst - London - Hybrid - £50,000-£60,000SQL, Python, Machine Learning, Git, Excel, Pandas, NumPy, Seaborn, MatplotlibPlease note: this role does not offer sponsorship, and you must have full right-to-work in the UK to apply (post-study work visa will not be considered).I'm … platform.They are on the lookout for a Data Scientist/Analyst with a financial services background ideally, as well as very strong Python (Pandas, NumPy etc.), Machine Learning, client-facing skills - does that sound like you?The role involves hybrid working (every Monday and Tuesday in the office and three … apply above or get in touch at tom.hannah@opusrs.com.Data Scientist/Analyst - London - Hybrid - £50,000-£60,000SQL, Python, Machine Learning, Git, Excel, Pandas, NumPy, Seaborn, Matplotlib more »
programming. Prior experience in a financial services or trading environment is highly preferred. Technical Expertise: Expert knowledge of Python and its popular libraries like NumPy, Pandas, SciPy, Scikit-learn, Statsmodels ,QuantLib ,Matplotlib, TensorFlow ,PyTorch ,Zipline and Dash. Proficient in systems that handle high-throughput, low-latency data. Experience with big more »
sequence models, and attention mechanism, transformer technologies etc.) Experience in deploying NLP pipelines to production Python experience including data science libraries (scikit-learn, pandas, NumPy) and deep learning frameworks (Tensorflow, Pytorch) Desirable Experience with virtual agent platforms such as IBM Watson or DialogFlow Team leading experience Proven experience in CI more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
to the continual improvement of their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in Forecasting and propensity. Expertise in utilizing SQL more »
I have? As our Senior Data Scientist you will have: least 4 years experience in Statistics and Machine Learning with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) least 3 years Python programming experience applying models to Big Data with the principles of Continuous Integration and Deployment (CI/CD more »
Leicestershire, England, United Kingdom Hybrid / WFH Options
Harnham
to the continual improvement of their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in Forecasting & AB testing. Leadership Expertise in utilizing more »
Borehamwood, England, United Kingdom Hybrid / WFH Options
Addition+
experience in scripting, batch processing, and stream processing. Experience with or at least an interest in Machine Learning and widely used technologies, such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch. Knowledgeable about key MLOps concepts such as CI (including data aspects), CD (specific to ML), CT (Continuous Training more »
South West London, London, United Kingdom Hybrid / WFH Options
Client Server
office 1-2 days a week (or more often if desired). About you: You're a Senior Data Scientist with strong Python and NumPy experience You have experience with numerical optimisation problems, ideally forward-curve modelling with large data sets You're familiar with LLM, NLP and time-series more »
office 1-2 days a week (or more often if desired). About you: You're a Senior Data Scientist with strong Python and NumPy experience You have experience with numerical optimisation problems, ideally forward-curve modelling with large data sets You're familiar with LLM, NLP and time-series more »
Proficient with data structures and algorithms, with good experience handling unstructured data. Sound knowledge and experience of core Python, data science libraries such as Numpy, Pandas and Scipy and deep learning frameworks Keras, TensorFlow and/or PyTorch. Strong analytical and problem-solving skills, with the ability to tackle complex more »
in developing large language models based on transformer/mamba architectures. Proficiency in Python, NLP libraries (NLTK, SpaCy), Hugging Face Transformers, data science libraries (Numpy, Pandas) and deep learning frameworks (TensorFlow and/or PyTorch). Experience crawling, cleaning, processing unstructured data. Strong background in machine learning algorithms and deep more »
or sponsorship Analytical background, as evidenced by a STEM degree in a technical subject Competencies in Python and the Python data science ecosystem (pandas, numpy, scikit-learn etc.) or highly transferable skill analogues Experience developing and evaluating models using at least one of the following technologies: —- Gradient-boosted decision trees 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 »
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 »
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 of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of more »
