126 to 150 of 289 Predictive Analytics Jobs in the UK

in delivering enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, natural language processing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture, and development processes. Collaborate with stakeholders to define AI strategy, translate … bid writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non More ❯

start-up at the forefront of Machine Learning and Artificial Intelligence innovation. This dynamic and forward-thinking company is building advanced data-driven solutions that are reshaping industries — from predictive analytics and automation to generative AI applications. As they continue to expand their technical team, they are seeking a Graduate Machine Learning Engineer who is passionate about developing More ❯

start-up at the forefront of Machine Learning and Artificial Intelligence innovation. This dynamic and forward-thinking company is building advanced data-driven solutions that are reshaping industries — from predictive analytics and automation to generative AI applications. As they continue to expand their technical team, they are seeking a Graduate Machine Learning Engineer who is passionate about developing More ❯

start-up at the forefront of Machine Learning and Artificial Intelligence innovation. This dynamic and forward-thinking company is building advanced data-driven solutions that are reshaping industries — from predictive analytics and automation to generative AI applications. As they continue to expand their technical team, they are seeking a Graduate Machine Learning Engineer who is passionate about developing More ❯

and values consistency and process adherence. This role also offers genuine progression opportunities—whether you’re looking to deepen your technical expertise in cloud-based data tools, insights or predictive analytics, or data governance and strategy. If you feel this could be the right role for you, we would love to hear from you! That all sounds great More ❯

and values consistency and process adherence. This role also offers genuine progression opportunities—whether you’re looking to deepen your technical expertise in cloud-based data tools, insights or predictive analytics, or data governance and strategy. If you feel this could be the right role for you, we would love to hear from you! That all sounds great More ❯

and values consistency and process adherence. This role also offers genuine progression opportunities—whether you’re looking to deepen your technical expertise in cloud-based data tools, insights or predictive analytics, or data governance and strategy. If you feel this could be the right role for you, we would love to hear from you! That all sounds great More ❯

and values consistency and process adherence. This role also offers genuine progression opportunities—whether you’re looking to deepen your technical expertise in cloud-based data tools, insights or predictive analytics, or data governance and strategy. If you feel this could be the right role for you, we would love to hear from you! That all sounds great More ❯

and lead development of scalable, production-grade agentic AI systems. Design serverless, event-driven workflows using Azure Functions, Logic Apps, and Power Automate. Build and optimize ML models for predictive analytics, anomaly detection, and recommendations using Azure ML, Databricks, and Python. Integrate agents with enterprise platforms such as SAP HANA, Salesforce, Snowflake, Kafka, and UiPath. Ensure observability and More ❯

Data Scientist | AI & Advanced Analytics | Nottingham (Hybrid) The Company An early-stage AI and analytics company building intelligent, explainable machine learning systems that help businesses in retail, healthcare, and mobility unlock the true value of their data. What will I be doing? You'll be developing modular ML solutions that power real-world applications - from predictive analytics More ❯

company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Lead Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying … the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to … not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g. More ❯

company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Lead Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying … the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to … not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g. More ❯

engineers, and business stakeholders to define AI use cases, project scope, and measurable success criteria. Oversee delivery of initiatives such as machine learning model deployment, process automation, chatbots, or predictive analytics solutions. Ensure project governance, reporting, and documentation align with internal frameworks and regulatory standards. Manage risks, issues, and dependencies across multiple AI workstreams. Build strong partnerships with … Manager Requirements Proven experience delivering AI, data, or automation-driven projects within financial services or another highly regulated environment. Strong understanding of technology-enabled change, particularly involving data platforms, analytics, or automation tools (e.g. ML, NLP, RPA, GenAI). Excellent stakeholder management and communication skills, with the ability to influence at senior and executive levels. Strong project planning, governance More ❯

engineers, and business stakeholders to define AI use cases, project scope, and measurable success criteria. Oversee delivery of initiatives such as machine learning model deployment, process automation, chatbots, or predictive analytics solutions. Ensure project governance, reporting, and documentation align with internal frameworks and regulatory standards. Manage risks, issues, and dependencies across multiple AI workstreams. Build strong partnerships with … Manager Requirements Proven experience delivering AI, data, or automation-driven projects within financial services or another highly regulated environment. Strong understanding of technology-enabled change, particularly involving data platforms, analytics, or automation tools (e.g. ML, NLP, RPA, GenAI). Excellent stakeholder management and communication skills, with the ability to influence at senior and executive levels. Strong project planning, governance More ❯

engineers, and business stakeholders to define AI use cases, project scope, and measurable success criteria. Oversee delivery of initiatives such as machine learning model deployment, process automation, chatbots, or predictive analytics solutions. Ensure project governance, reporting, and documentation align with internal frameworks and regulatory standards. Manage risks, issues, and dependencies across multiple AI workstreams. Build strong partnerships with … Manager Requirements Proven experience delivering AI, data, or automation-driven projects within financial services or another highly regulated environment. Strong understanding of technology-enabled change, particularly involving data platforms, analytics, or automation tools (e.g. ML, NLP, RPA, GenAI). Excellent stakeholder management and communication skills, with the ability to influence at senior and executive levels. Strong project planning, governance More ❯

to guide our technology team's direction and efficiency. In this position, you will define and execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real More ❯

to guide our technology team's direction and efficiency. In this position, you will define and execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real More ❯

to guide our technology team's direction and efficiency. In this position, you will define and execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real More ❯

to guide our technology team's direction and efficiency. In this position, you will define and execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real More ❯

to guide our technology team's direction and efficiency. In this position, you will define and execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real More ❯

to guide our technology team's direction and efficiency. In this position, you will define and execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real More ❯

to guide our technology team's direction and efficiency. In this position, you will define and execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real More ❯

to guide our technology team's direction and efficiency. In this position, you will define and execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real More ❯

to guide our technology team's direction and efficiency. In this position, you will define and execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real More ❯

to guide our technology team's direction and efficiency. In this position, you will define and execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real More ❯