11 of 11 Temporary Machine Learning Jobs in the UK

FAIR and work on developing LLM agents for coding and machine learning tasks. Our goal is to create LLM agents that can automatically carry out AI and ML research tasks completely on their own. We want candidates with strong hands-on experience in both machine learning engineering (training ML models), and who have full-stack SWE … engineering. Ideal candidates should have experience with Python, Pytorch, JS and React and similar frameworks. Responsibilities: Carry out software development and research for designing automated LLM agents for coding, ML engineering and research tasks, including building agent analysis tools, data annotation pipelines and improving the agent itself. Design methods, tools, and infrastructure to push forward the state of the art … Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Preferred Qualifications Direct experience in generative AI and LLM research Master’s degree in ML areas Experience with human data annotation for training LLMs Must have hard skills: Machine Learning Software Engineer with full -stack development experience Python pipelines experience Data sets mitigation More ❯

Software Engineer - London Atrium EMEA is looking for several Machine Learning Software Engineers with full-stack … development experience to work on developing agents for coding and machine learning tasks. Your goal is to create LLM agents that can automatically carry out AI and ML research tasks completely on their own. The Software Engineers should have hands on experience in both machine learning engineering (training ML models), and who have full-stack SWE … PAYE contract role, till Dec 25 (Likely to extend). 3 days needed onsite in London office. Essential: Hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post More ❯

for AI agents similar to MLEBench and BFCL. Qualifications: Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience. Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. More ❯

within a UNIX/Linux environment and scripting in at least one coding language (e.g. Perl, Python, BASH) Desirable To conduct predictive modelling using AI-based approaches, including advanced machine learning Advanced skills in relational databases and SQL or similar language(s) Communication Essential Excellent interpersonal and communication skills, both written and verbal Personal and People Development Essential More ❯

or cloud based approach. Therefore, any experience of Microsoft Azure or Amazon AWS may also be beneficial. Through our data scientists, we are exploring and implementing artificial intelligence and machine learning solutions. An enthusiasm for the field of data science, and a desire to collaborate, and support these projects will also be beneficial. About us The National Institute More ❯

complex information issues Experience of using business intelligence tools to provide meaningful insight to a range of audiences. Experience of using Microsoft Power BI and Power Automate. Experience in machine learning and statistical modelling, including supervised and unsupervised learning, and time-series forecasting. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders More ❯

their members. Address concerns, mitigate resistance, and inspire the team to own and embrace new ways of working with their systems. Foster a culture of digital literacy and continuous learning by facilitating training programs and workshops alongside their consultants. Stakeholder Engagement & Communication: Build and maintain strong relationships with key stakeholders at all levels, including the team, their Board and … similar digital transformation, IT management, or consulting role, with a strong track record of successfully leading complex digital projects. Deep understanding of digital technologies such as cloud computing, AI, machine learning, IoT, data analytics and reporting, and automation. Strong analytical and problem-solving skills, with the ability to interpret data and make data-driven decisions. Excellent project management More ❯

their members. Address concerns, mitigate resistance, and inspire the team to own and embrace new ways of working with their systems. Foster a culture of digital literacy and continuous learning by facilitating training programs and workshops alongside their consultants. Stakeholder Engagement & Communication: Build and maintain strong relationships with key stakeholders at all levels, including the team, their Board and … similar digital transformation, IT management, or consulting role, with a strong track record of successfully leading complex digital projects. Deep understanding of digital technologies such as cloud computing, AI, machine learning, IoT, data analytics and reporting, and automation. Strong analytical and problem-solving skills, with the ability to interpret data and make data-driven decisions. Excellent project management More ❯

and team membersSoftware engineering skills: Python, data pipelines. Skills & Experience: Top 3 Must – have hard skills: Data Experience Phyton pipelines experience Data sets mitigation & experience Good to have skills: Machine learning experience Experience with pie torch More ❯

backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands. Key Responsibilities: Develop complex, original question-and-answer pairs based on advanced topics in your area of expertise. More ❯

LL BRING Extensiveexperience in internal audit, risk management, or consultancy focusing on technology controls (ITGC, applications, infrastructure) and an understanding of emerging technology (e.g., Data Analytics, Artificial Intelligence and Machine Learning) Proven track of leading audit engagements Professional certifications such asCIA, CISA, or equivalent Demonstrated ability to influence stakeholders and drive change We offer: OUR BENEFITS In return More ❯