8 of 8 Temporary Machine Learning Jobs in England

Engineering: You will learn how to analyse large sets of data to uncover hidden patterns and insights. This will involve using statistical techniques, machine learning algorithms and data visualisation tools. You will gain hand-on experience in manipulating and cleaning data using programming languages such as Python … related subject area. This will be backed up by practical examples of interest and work in and around Information Technology, AI, Data and Analytics, Machine Learning or related areas. We are particularly interested in candidates with a strong interest in software development and engineering, demonstrated through academic work ...

Develop external category management relationships with strategic customers, providing actionable recommendations to capitalise & drive areas of mutually beneficial growth. Support integration of AI/machine learning into UFS strategy by identifying right toolkit, upskilling relevant teams & lead change management to bring these to life. Key Requirements Relevant business … experience within data, insights & category management, managing stakeholders across Sales & Marketing to drive efficiencies, optimal ways of working. Experience in advanced data, analytics, AI & machine learning, insight generation, customer engagement desirable but not essential. Good communication, influencing skills & ability to manage internal & external stakeholders at all levels. Good ...

environment where data plays a critical role in decision-making. Description Design and build data pipelines for real-time and historical trading data. Develop machine learning models for trade flow prediction, execution analysis, and market pattern recognition. Create dashboards and analytical tools for trading desks. Productionise models … quants, and technologists to identify data-driven opportunities. Profile Strong programming skills in Python (pandas, NumPy, scikit-learn) and SQL. Experience in data science , machine learning, and predictive modelling. Background in data engineering (ETL pipelines, streaming tech like Kafka). Familiarity with cloud platforms (AWS, Azure, GCP). ...

teams using tools such as Jira and Confluence Familiarity with DevSecOps, containerisation (Docker), or cloud deployment Understanding of data integration, analytics, and AI/ML concepts Awareness of information assurance, cybersecurity principles, and MoD information standards Background involving modelling or mathematical problem-solving My client is keen to get this ...

/CD, IaC) Client/investor reporting systems experience (e.g. Coric, Vermilion - beneficial) Data governance and regulatory awareness (e.g. GDPR) Exposure to AI/ML desirable Key Experience: AWS, Snowflake, Data Platforms, Client Reporting, Asset Management, AI Role Details Location: London (3 days onsite) Contract: 6 months initially (potential perm ...

leaders. Proven leadership experience and ability to operate within cross-functional projects and teams. Desirable skills for this role are: Experience with advanced analytics, machine learning . Exposure to retail, SME, and/or corporate credit portfolios. Ideally experienced in IRB approach - Basal - II and III About ...

version control, and testing frameworks Familiarity with DevSecOps practices, containerisation (e.g. Docker), or cloud-based deployment Understanding of data integration, analytics, and AI/ML concepts Knowledge of Agile delivery methods and associated tools (e.g. Jira, Confluence, Git) If this all sounds like something you will be interested in then ...

offer constructive feedback. Essential Attributes Expert Storyteller — able to lead narrative direction confidently. Strong understanding of trending tech topics including AI, Cyber, Digital Twin, ML, Sustainability, Net Zero, and wider digital transformation trends. Experience working in B2B, consulting, or technology sectors with multiple stakeholders. Ability to break down complex ...