876 to 900 of 2,186 Machine Learning Jobs in the UK excluding London

financial services, banking, insurance or similar environments. Deep knowledge of modern AI technologies, including Generative AI, Large Language Models (LLMs), AI assistants and machine learning concepts. Hands-on experience with Microsoft AI technologies, including Azure AI, Microsoft Copilot, and familiarity with platforms such as Google Gemini, Vertex ...

related technical field. CPA certification. Experience in a global multinational corporate environment. Experience with advanced technologies such as RPA, AI, or machine learning in a tax context. Additional Information: The Company is committed to diversity and equality of opportunity for all and is opposed to any form ...

with our software platformPipeline Development: Implement ETL pipelines for ingesting, cleaning, and transforming scientific datasets from multiple sourcesData Analysis and Modeling: Apply statistical and machine learning techniques to analyse scientific data, identify trends, and develop predictive models for domain-relevant properties and behavioursOntology Development and Classification: Develop ...

organisation improve how data is structured, governed, integrated and delivered. The environment includes Databricks, cloud technologies, data lakes, analytics, reporting and emerging AI and machine-learning products. Your responsibilities will include: Defining and evolving data architecture principles, standards and technical roadmaps Designing conceptual, logical and physical data models ...

methodologies, including CI/CD, application resiliency, and security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, AI, machine learning, mobile). Ability to solve data‐oriented problems using technologies such as SQL, relational databases, Spark, and NoSQL. Preferred Qualifications, Capabilities ...

related field. Salesforce Data Architecture & Management certification or equivalent. Experience using Python for data analysis, automation or process improvement. Knowledge of AI and machine learning applications within CRM and customer analytics. Experience within customer-focused B2B or B2C environments. French language skills Person Specification Strong understanding ...

someone who has simply experimented with ChatGPT or integrated an LLM API. You may have a background as an AI Engineer, Generative AI Engineer, Machine Learning Engineer, Software Engineer or AI Solutions Engineer, but you will have developed a strong practical understanding of modern Agentic AI. You should ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity ...

methodologies, including CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)In-depth knowledge of the financial services industry and IT systemsPractical cloud native experiencePreferred Qualifications, Capabilities, and Skills: Background in delivering ...

Endpoint and Microsoft Sentinel. Attainment of relevant Microsoft accreditations (e.g., AZ-900, MS-900, SC-100) is preferred; additional certifications in AI or Machine Learning Operations are highly desirable. About Us: We are the tech company with people at heart. At Advania, we empower individuals to create sustainable ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) Knowledge of the financial services industry and IT systems Practical cloud-native experience Preferred Qualifications, Capabilities, and Skills: Hands ...

Backend Engineering teams to improve detection quality and platform capability Contribute to the development and fine-tuning of AI-driven detection models, using machine learning to sharpen investigation accuracy Stay current with emerging threats, attack techniques, and cloud security best practices, feeding insights back into team knowledge What ...

best practicesOpen-mindedness and willingness to learnAbility to work collaboratively in large teamsProficiency in software applications and technical processes within technical disciplines (cloud, AI, machine learning, mobile, etc.)Preferred Qualifications, Capabilities, and Skills: UI development experience in React JSWhy Join Us? Be part of a global team that ...

audit documentation. Clear written and executive communication Desirable Experience Experience in cyber security, fraud, risk, operational resilience or financial services. Experience delivering AI, machine learning, analytics or intelligent automation capabilities. Experience with cloud and data platforms, preferably Microsoft Azure. Knowledge of security operations, fraud operations, SIEM/ ...

including CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile)Knowledge of the financial services industry and IT systemsPractical cloud-native experiencePreferred Qualifications, Capabilities, and Skills: Hands-on AI experience ...

mindedness and willingness to learn Ability to work collaboratively in large teams Proficiency in software applications and technical processes within technical disciplines (cloud, AI, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, and Skills: UI development experience in React JS Why Join Us? Be part of a global team ...

such as CI/CD, Application Resiliency, and SecurityEmerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting ...

integration/continuous delivery, application resiliency, and security practicesEmerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting ...

require all candidates tobe willing to attain an eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical ...

bring their whole, authentic selves to work every day. Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world‐class, and together they’re solving the most exciting and important technological challenges of our times. Our diverse, multi‐cultural crew ...

such as CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)In-depth knowledge of the financial services industry and their IT systemsPractical cloud native experienceDemonstrated experience leading effective ...

controls. Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer ...

controls. Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer ...

such as CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)In-depth knowledge of the financial services industry and their IT systemsPractical cloud native experienceExperience in developing, debugging and automated ...

Knowledge of Onsite/project tech stack includes but is not limited to Azure, AWS, Docker, Kubernetes, Apache (NiFi, Kafka), NodeJS, Typescript, MongoDB, AI, Machine Learning etc. Just as important are curiosity, strong problem solving ability, and the motivation to continuously improve how technology is designed and delivered. ...