S3, Lambda, Step Functions, Athena/Glue, CodePipeline Containers orchestration using CloudFormation, Terraform, Docker, Kubernetes Experience in development using Python, particularly using TensorFlow, PyTorch, scikitlearn, boto3 and the Python Data Science stack (pandas, numpy etc.) Why work at GlobalLogic. Our goal is to build an inclusive positive culture where everyone more »
Birmingham, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
Xpertise is on the lookout for a Data Scientist who can play a key role in creating real-world value through the use of data. The organisation is offering someone the autonomy to identify new ways of utilising data using more »
natural language processing, computer vision, and data analytics. Familiarity with AI frameworks, tools, and platforms commonly used in product development (e.g., TensorFlow, PyTorch, scikit-learn). Proficiency in agile methodologies and product management best practices, including user story development, backlog management, and sprint planning. Solid analytical and problem more »
NLP , and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL , Python ( Pandas , Scikit - Learn , PyTorch ) PhD -level education and experience within Marketing is preferred. Experience in an academic/research background. If you think this opportunity could more »
knowledge of existing audit methodologies Liaison with audit teams and audit clients to develop innovative approaches Data transformation and modelling (e.g. pandas and scikit-learn in Python); Data storage and querying (e.g. SQL, Alteryx, Python); Data visualisation experience (eg PowerBI, Tableau) Understanding of common data quality issues and more »
AI Engineer & Innovation Consultant Consulting firm London UK £50k - £60k About Them Part of the digital innovation and data division within a leading global consultancy, they create fresh ventures and products for clients in the professional services space. Their efforts more »
to explain and present the findings of technical work to non-expert audiences Fluency with Python machine learning and data science packages (pandas, scikit-learn, Apache, Spark, DASK, Tensorflow, etc.) or experience with programming languages and willingness to learn Python For engineering, experience in a DevOps role more »
We are currently looking for an experienced Machine Learning Engineer to work an exciting project, utilising the latest technologies. You will work closely with data scientists to take ML models from research to production while upholding engineering best practices. Responsibilities more »
knowledge of existing audit methodologies Liaison with audit teams and audit clients to develop innovative approaches Data transformation and modelling (e.g. pandas and scikit-learn in Python); Data storage and querying (e.g. SQL, Alteryx, Python); Data visualisation experience (eg PowerBI, Tableau) Understanding of common data quality issues and more »
DATA SCIENTIST HYBRID (LONDON) £60,000 - £70,000 COMPANY: Join a consumer finance business focused on simplifying the consumer finance experience. Our client is committed to making finance easier for their customers. With its first product, a digital credit card more »
techniques, including statistical analysis, machine learning, data mining, and predictive modelling. Experience with tools such as R, Python (including libraries like NumPy, Pandas, scikit-learn), MATLAB, or SAS is often necessary. Proficiency in cartographic principles and map design, including symbolization, thematic mapping, and layout design. Familiarity with remote more »
Employment Type: Permanent
Salary: 25 days AL, buy / sell 5 days AL, birthday off, private healthcare
City of London, London, United Kingdom Hybrid / WFH Options
E.ON Next
quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment ● Strong visualisation skills including experience with Tableau ● Familiarity with Git-based source control methodologies more »
Central London / West End, London, United Kingdom Hybrid / WFH Options
E.ON Next
quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment ● Strong visualisation skills including experience with Tableau ● Familiarity with Git-based source control methodologies more »
and distributed systems Proficiency in statistical NLP algorithms, including transformers, graphical models, and information retrieval techniques Python and scientific computing packages (pytorch, numpy, scikit-learn, tensorflow) Database technologies including ElasticSearch, Neo4j, and SQL Excellent interpersonal, verbal, and written communication skills A flexible attitude with respect to work assignments more »
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 »
Stanmore, England, United Kingdom Hybrid / WFH Options
Sky
B2C) cloud environment (we use GCP VertexAI in the team) Very good Python programming skills and experience with Machine Learning libraries such as scikit-learn, XGBoost , Keras , Tensorflow etc Familiarity with ETL concepts and ability to write scalable SQL code (familiarity with BigQuery and working with nested data more »
methods, optimizers, 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 more »
statistical 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 more »
Senior AI Engineer and Scientist | Oxford x2 | £60,000 | MedTech Join a Tech for good business based in Oxford who are looking for their newest hire. If you are looking for a job where you can feel a direct impact more »
learning models and algorithms in real-world applications. - Strong proficiency in Python programming and popular machine learning libraries/frameworks (eg, TensorFlow, PyTorch, scikit-learn). - Deep understanding of machine learning concepts and techniques, including supervised/unsupervised learning, deep learning, reinforcement learning, etc. - Strong communication and interpersonal more »
Stanmore, England, United Kingdom Hybrid / WFH Options
Sky
a cloud environment (we use GCP VertexAI in the team) Very good Python programming skills and experience with Machine Learning libraries such as scikit-learn, XGBoost , Keras , Tensorflow etc Familiarity with ETL concepts and ability to write scalable SQL code (familiarity with BigQuery and working with nested data more »
deployment of complex machine learning solutions. Expertise in product experimentation, Causal AI, and advanced statistical techniques. Deep knowledge of data science tools (e.g., scikit-learn, TensorFlow, PyTorch) and big data technologies (e.g., Spark). Proficiency in Python for data manipulation, model building, and scripting. Strong communication skills to more »
Senior Data Scientist – Media - London - £90k Are you a pro at building and deploying ML models? Are you tired of just tinkering with the latest tech without actually making a real impact on business problems? Maybe you'd like to more »
Description Who are we? Hi! 👋 We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident more »
London, England, United Kingdom Hybrid / WFH Options
E.ON Next
quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment ● Strong visualisation skills including experience with Tableau ● Familiarity with Git-based source control methodologies more »
