901 to 925 of 2,287 Machine Learning Jobs in the UK excluding London

of the UK’s most exciting Intelligent Automation companies, powering content for a huge number of brands globally, optimising how they distribute and monetise content, whilst using cutting-edge machine learning and predictive AI. The Role As Head of Engineering, you’ll lead a lean, high-performing tea, bringing structure and technical direction to a fast-paced, product More ❯

data formats. Experience with rules engines, decision management systems, or low-code/BPM tools. Understanding of knowledge representation, logic, or semantic technologies (RDF, OWL, SPARQL). Awareness of machine learning and how probabilistic and deterministic reasoning can complement each other. Domain experience in financial services, insurance, healthcare, or other regulated industries. Degree in a logic- or analytics More ❯

understand business requirements and deliver fit-for-purpose data solutions. Support the evaluation, design and implementation of data platforms and tools. Structure and prepare data for analytics, data mining, machine learning and application use. Manage and monitor ETL processes, data migrations and conversions. Ensure compliance with data governance, security, and privacy standards. Contribute to continuous improvement, automation and More ❯

and Experience: 5+ years of experience delivering end-to-end data science solutions in a commercial setting. Proven ability to lead projects independently and drive results. Strong expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL; experience with Power BI or similar tools. Exposure to Gen AI tools or techniques is a strong plus. More ❯

programming languages (such as Python, R, SQL, etc.). You will be an expert in data visualisation tools (Power BI, Tableau - Tableau preferred). You will have knowledge of machine learning algorithms and their applications. Hands-on experience with cloud platforms (GCP essential). Strong background in DevOps, including test automation and cultural change. Proficiency in telecom protocols 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 ❯

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 ❯

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 optimising data ingestion pipelines using Apache Spark (ideally in Azure Databricks) Collaborating across teams to understand requirements and deliver fit-for-purpose data products Supporting the productionisation of ML pipelines Working in an Agile/DevOps environment to continuously evolve our data platform Strong SQL and Python skills Solid experience with Azure data services and DevOps (CI/CD 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 ❯

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 ❯