15 Temporary Machine Learning Jobs in the UK

and passion for your chosen field. At the core will be the development and use of appropriate analytical techniques that include advanced analytics and machine leaning to tackle some of the highest areas of fraud risk to the NHS and ultimately protect public funds for patient care. Potential applicants … for purpose. Please see full Job Description and Person Specification. Person Specification Knowledge and Experience Essential Advanced theoretical & practical knowledge of data analytics and machine learning, acquired through specialist training or experience in an appropriate field. Knowledge of data, its use and application within NHS or other complex … handle detail in strategic plans and make informed decisions and judgements. Desirable Current broad knowledge of the contemporary data science environment concerning data science, machine learning and artificial intelligence. A robust understanding of data and development of efficient data pipelines Qualifications Essential Educated to degree level in relevant more »

AI tools such as AWS Bedrock , Azure AI , Claude , OpenAI , and similar platforms. Experience with natural language processing (NLP) and machine learning (ML) techniques. Familiarity with integrating AI models into business processes, particularly in customer service and finance. Ability to work independently and manage multiple tasks effectively in more »

processes, data wrangling methods, models, data structures, and data formats. oJSON, SQL, and XML oWriting robust data pipeline code that can run unattended. oMachine learning for engineering practices, such as meta driven intelligent ETL and pipeline processes. oStrong skills in relevant programming languages, frameworks, and platforms including, SQL, Python … engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant subject or … equivalent experience/learning developed in a similar role (e.g., Data Science, Computer Science, Information Technology, Engineering, or related discipline). For the purposes of this job description equivalent experience would be management and technical experience in a similar sized and complex organisation, successfully providing the necessary drive, leadership more »

processes, data wrangling methods, models, data structures, and data formats. oJSON, SQL, and XML oWriting robust data pipeline code that can run unattended. oMachine learning for engineering practices, such as meta driven intelligent ETL and pipeline processes. oStrong skills in relevant programming languages, frameworks, and platforms including, SQL, Python … engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant subject or … equivalent experience/learning developed in a similar role (e.g., Data Science, Computer Science, Information Technology, Engineering, or related discipline). For the purposes of this job description equivalent experience would be management and technical experience in a similar sized and complex organisation, successfully providing the necessary drive, leadership more »

processes, data wrangling methods, models, data structures, and data formats. oJSON, SQL, and XML oWriting robust data pipeline code that can run unattended. oMachine learning for engineering practices, such as meta driven intelligent ETL and pipeline processes. oStrong skills in relevant programming languages, frameworks, and platforms including, SQL, Python … engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant subject or … equivalent experience/learning developed in a similar role (e.g., Data Science, Computer Science, Information Technology, Engineering, or related discipline). For the purposes of this job description equivalent experience would be management and technical experience in a similar sized and complex organisation, successfully providing the necessary drive, leadership more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a stable … model development and production and the alignment with model governance, business, and regulatory standards. oMaster's degree, in numerate subject or equivalent experience/learning developed in a similar role (e.g., Mathematical, Data Science, Computer Science, Physics, or related discipline). Desirable Advanced knowledge and practical experience of developing more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a stable … model development and production and the alignment with model governance, business, and regulatory standards. oMaster's degree, in numerate subject or equivalent experience/learning developed in a similar role (e.g., Mathematical, Data Science, Computer Science, Physics, or related discipline). Desirable Advanced knowledge and practical experience of developing more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a stable … model development and production and the alignment with model governance, business, and regulatory standards. oMaster's degree, in numerate subject or equivalent experience/learning developed in a similar role (e.g., Mathematical, Data Science, Computer Science, Physics, or related discipline). Desirable Advanced knowledge and practical experience of developing more »

warehouse environments Strong communication skills both written and verbal Desirable Advanced user in R or Python Use of analytical techniques, including supervised and unsupervised machine learning algorithms, such as regression modelling, decision trees and classification. Automation using SQL, VBA, and Microsoft apps Understanding of NHS data flows and more »

support to the cancer programme. What you will need Experience and technical expertise in advanced analytical techniques, including advanced statistical modelling and/or machine learning approaches for predictive analytics. A strong understanding of statistics and data manipulation skills. To be motivated by using data to solve problems more »

Python and SQL. Expertise concerning the underlying principles and techniques of data analytics within the context of counter fraud, for example rule-based analytics, machine learning etc. Desirable Demonstrable experience of creating and maintaining reporting systems Qualifications Essential Educated to degree level in relevant discipline, or equivalent. Formal more »

include managing, coaching, and training more junior members of the team. The role will also lead and innovate on projects using advancing technologies including machine learning, programming tools and reporting layers. Main duties of the job With extremely strong data manipulation, statistical, interpretative, and analytical skills and ability more »

to pinpoint relevant textual source data, and with NLP testers to validate and improve app performance. Use annotation tools, and rule-based (Jape) and machine learning classification approaches where appropriate to develop new apps. Contribute to documentation of our NLP catalogue, ensuring that apps are used appropriately, for more »

detail of role responsibilities. Person Specification Qualifications/Education Essential Education to PhD/Masters or equivalent professional experience. Desirable Formal qualification in AI, Machine Learning, Informatics, or Computer Science Formal qualification in complex programme management Knowledge & experience Essential Proven experience of implementing AI, Data, or digital innovation more »

Why US: Our Company TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our more »