9 of 9 Permanent Machine Learning Jobs in South Yorkshire

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 ❯

to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable 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 ❯

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 ❯

all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong 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 ❯

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 ❯

Job Title: ML Engineer Job Description We are seeking an experienced ML Engineer to join a dedicated team focused on creating and supporting AI-driven solutions within a major banking institution. This role involves working on a variety of use cases designed to generate cost savings and efficiencies across the bank. The team will act both as creators of new … ensure cohesive integration. Utilise GPU fine-tuning and reference architecture. Participate in governance processes and manage MCP servers. Essential Skills Minimum of 6 years of hands-on experience in ML engineering. Demonstrated expertise with LLMs, transformers, generative models, and agentic orchestration tools. Strong understanding of model evaluation techniques. Proven team collaboration skills. Stakeholder management experience, including discussions with C-suite … and other engineering leaders. Additional Skills & Qualifications Master's degree in ML, computer science, engineering, or a related field (or equivalent experience). Why Work Here? Joining our team offers you the opportunity to be part of one of the largest global banks, engaging in cutting-edge AI projects that drive significant impact. You will work in a collaborative and 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 ❯