801 to 825 of 1,992 Machine Learning Jobs in the UK excluding London

processes that can be enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. More ❯

containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning frameworks (e.g. PyTorch, TensorFlow, or similar). Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . Experience with Rust , WebAssembly , or cross-runtime architectures More ❯

processes that can be enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. More ❯

containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning frameworks (e.g. PyTorch, TensorFlow, or similar). Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . Experience with Rust , WebAssembly , or cross-runtime architectures More ❯

containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning frameworks (e.g. PyTorch, TensorFlow, or similar). Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . Experience with Rust , WebAssembly , or cross-runtime architectures More ❯

such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects More ❯

such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects More ❯

such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects More ❯

Location: This is a homebased role with headquarters in Southampton. Senseye Predictive Maintenance is a cloud-based solution that leverages advanced machine learning to revolutionize industrial maintenance. Our web application helps manufacturers reduce downtime, optimise maintenance schedules, and improve sustainability by providing real-time insights into equipment health and maintenance requirements. We are seeking an ambitious and versatile More ❯

materials behaviour Proficiency in Python for engineering and data analysis tasks Experience working with large, complex datasets, particularly from sensor systems Familiarity with signal processing, time-series analysis, or machine learning Excellent communication skills with the ability to convey complex technical concepts clearly to diverse stakeholders Desirable skills Understanding of SCADA systems, strain gauges, accelerometers, or similar structural More ❯

materials behaviour Proficiency in Python for engineering and data analysis tasks Experience working with large, complex datasets, particularly from sensor systems Familiarity with signal processing, time-series analysis, or machine learning Excellent communication skills with the ability to convey complex technical concepts clearly to diverse stakeholders Desirable skills Understanding of SCADA systems, strain gauges, accelerometers, or similar structural More ❯

materials behaviour Proficiency in Python for engineering and data analysis tasks Experience working with large, complex datasets, particularly from sensor systems Familiarity with signal processing, time-series analysis, or machine learning Excellent communication skills with the ability to convey complex technical concepts clearly to diverse stakeholders Desirable skills Understanding of SCADA systems, strain gauges, accelerometers, or similar structural More ❯

and run mathematical models to support expert advice and decision-making. Apply statistical and computational methods to uncover insights from data. Research and apply new techniques, including AI and machine learning. Prepare clear, concise technical reports and presentations. Skills & Experience: Degree in mathematics or a related scientific discipline. Strong mathematical ability. Programming skills - Rust, Python, and JavaScript are especially More ❯

target data architecture for current and newly merged businesses Leading a lean, high-performing Data function (staying ~20% hands-on), partnering closely with C- Suite Owning the AI/ML roadmap, including for insights, automation and driving measurable business outcomes To be successful in this role, you will need: Strong proven experience running data teams and managing data technology strategy More ❯

target data architecture for current and newly merged businesses Leading a lean, high-performing Data function (staying ~20% hands-on), partnering closely with C- Suite Owning the AI/ML roadmap, including for insights, automation and driving measurable business outcomes To be successful in this role, you will need: Strong proven experience running data teams and managing data technology strategy More ❯

target data architecture for current and newly merged businesses Leading a lean, high-performing Data function (staying ~20% hands-on), partnering closely with C- Suite Owning the AI/ML roadmap, including for insights, automation and driving measurable business outcomes To be successful in this role, you will need: Strong proven experience running data teams and managing data technology strategy More ❯

record of working with traders or other business stakeholders to create commercially actionable models. Experience with a range of modelling techniques including, regression, time series analysis, forecast modelling and machine learning. Excellent problem-solving skills. Experience using a coding language to develop models and analytical tools. Experience manipulating and analyzing large, complex datasets. Desirable Experience & Skills Practical knowledge of More ❯

years’ experience across forensics, fraud, risk, or compliance analytics Demonstrable consulting or cross-functional delivery experience in FS or fintech Proven leadership of technical or investigative teams Familiarity with ML, LLMs, or automation in regulatory or fraud contexts Experience in data engineering and AI technologies (Added bonus: Python, Azure, ETL) Key Details Location: London (2–3 days/week in More ❯

years’ experience across forensics, fraud, risk, or compliance analytics Demonstrable consulting or cross-functional delivery experience in FS or fintech Proven leadership of technical or investigative teams Familiarity with ML, LLMs, or automation in regulatory or fraud contexts Experience in data engineering and AI technologies (Added bonus: Python, Azure, ETL) Key Details Location: London (2–3 days/week in More ❯

years’ experience across forensics, fraud, risk, or compliance analytics Demonstrable consulting or cross-functional delivery experience in FS or fintech Proven leadership of technical or investigative teams Familiarity with ML, LLMs, or automation in regulatory or fraud contexts Experience in data engineering and AI technologies (Added bonus: Python, Azure, ETL) Key Details Location: London (2–3 days/week in More ❯

Build, Jenkins, GitHub Actions. Proven experience with Terraform and other IaC tools. Experience in multi-cloud environments . Familiarity with monitoring tools such as Prometheus Exposure to AI/ML infrastructure and data workflows in financial services. More ❯

Modelling: SQL Server SSAS Tabular (DAX)/Dimensional Modelling/Data Warehousing Development Management: Azure DevOps SQL MI/DB ETL: Active Batch, API, Event Hub, Kafka AI/ML We’re grateful for your interest in joining our team. Kindly note that only applicants whose experience and qualifications most closely align with the role will be contacted for the More ❯

Build, Jenkins, GitHub Actions. Proven experience with Terraform and other IaC tools. Experience in multi-cloud environments . Familiarity with monitoring tools such as Prometheus Exposure to AI/ML infrastructure and data workflows in financial services. More ❯

Build, Jenkins, GitHub Actions. Proven experience with Terraform and other IaC tools. Experience in multi-cloud environments . Familiarity with monitoring tools such as Prometheus Exposure to AI/ML infrastructure and data workflows in financial services. More ❯

Modelling: SQL Server SSAS Tabular (DAX)/Dimensional Modelling/Data Warehousing Development Management: Azure DevOps SQL MI/DB ETL: Active Batch, API, Event Hub, Kafka AI/ML We’re grateful for your interest in joining our team. Kindly note that only applicants whose experience and qualifications most closely align with the role will be contacted for the More ❯