6 of 6 Permanent Machine Learning Jobs in Sheffield

predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making. Key Responsibilities: Develop statistical and machine learning models to simulate risk scenarios. Analyse large datasets to uncover trends and emerging risks. Translate insights into actionable risk mitigation strategies. Build dashboards and visualisations for stakeholders. … data engineers to ensure clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary More ❯

and automation best practices Skills & Experience Degree or background in Computer Science, AI, Software Engineering, or Data Science Strong programming skills (e.g. Python, JavaScript, JSON) Awareness of AI/ML concepts, Large Language Models and prompt engineering Experience with cloud platforms (Azure, AWS or GCP) Logical, problem-solving mindset with a passion for automation Ability to communicate technical ideas clearly More ❯

and automation best practices Skills & Experience Degree or background in Computer Science, AI, Software Engineering, or Data Science Strong programming skills (e.g. Python, JavaScript, JSON) Awareness of AI/ML concepts, Large Language Models and prompt engineering Experience with cloud platforms (Azure, AWS or GCP) Logical, problem-solving mindset with a passion for automation Ability to communicate technical ideas clearly More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ More ❯

Confident in backlog prioritisation, roadmap planning, and feature trade-off decisions Comfortable working in a fast-paced, outcomes-driven environment Preferred Experience working in the edtech, education, or e-learning … sectors Understanding of school leadership, teaching workflows, or professional development in education Familiarity with learning management systems (LMS), subscription products, or B2B SaaS models Exposure to AI/ML technologies and how they can enhance user-facing products Skills and Competencies Strategic Thinking & Execution Able to balance long-term product vision with short-term delivery needs Analytical approach to More ❯