476 to 500 of 1,154 Machine Learning Jobs in the UK excluding London

Cloud environments Contribute to business development activities including solution shaping, proposals and client presentations Skills and Experience Proven experience designing and delivering enterprise AI, Machine Learning or Advanced Analytics solutions Strong understanding of modern AI technologies including Generative AI, LLMs, Prompt Engineering, RAG and Vector Databases Experience architecting ...

accreditation processes. Working with secure or safety-critical systems. Exposure to technologies such as Apache Kafka, Apache NiFi, Node.js, TypeScript, MongoDB, AI or Machine Learning would also be beneficial. Security Clearance Due to the nature of the work, candidates must already hold, or be eligible to obtain ...

/CD, Application Resiliency, and Security Demonstrated 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 systems Practical cloud native experience #J-18808-Ljbffr ...

Infrastructure Automation, Shell Scripting, Bash, Slurm, PBS, LSF, Workload Scheduling, Resource Management, Linux Administration, Server Infrastructure, Cloud Infrastructure, AWS HPC, Azure HPC, Data Processing, Machine Learning Infrastructure, AI Infrastructure, Scientific Research ...

automation, and advanced data capabilities to improve customer experiences and operational efficiency. Their AI function is expanding rapidly, with multiple GenAI and machine learning initiatives moving from concept into production. You will join a collaborative team where technical expertise is valued, decisions are made pragmatically, and innovation ...

Strong experience with Python. Experience with Kubernetes and Docker. Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. To apply ...

/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Proficiency in Object oriented concepts, Design Patterns, Java, Spring, is essential Preferred qualifications, capabilities, and skills Exposure to cloud technologies and building ...

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 ...

security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Director Expectations Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant ...

making platforms measurably better, you’ll find meaningful impact and growth here. As a Lead Software Engineer at JPMorgan Chase in the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. ...

/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 ...

management and regulatory reporting. Design data models that enable self-service capabilities and analytical use cases. Ensure data structures are capable of supporting future machine learning and AI initiatives. Assist in developing reusable datasets that reduce duplication and increase consistency across reporting outputs. Required Experience Proven experience working ...

Automation Development Research and evaluate emerging AI technologies and tools. Design and implement AI-driven solutions to improve business operations. Develop workflows using AI, machine learning, automation platforms, and low-code/no-code tools. Identify repetitive tasks and create automated solutions to reduce manual effort. Software & Application ...

/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Relevant testing experience within the Financial Services industry supporting multiple LOB's delivering in a highly complex ...

Development, Database Design, Database Management, Data Governance, Data Integration, Data Modeling Tools, Data Quality, Data Strategies, Enterprise Data Management, Google Cloud Platform (GCP) for Machine Learning, Solution Architecture, Structured Query Language (SQL) In compliance with Ontario's provincial pay transparency legislation, this job posting includes a salary range ...

platforms such as Microsoft Azure or AWS. Experience with containerisation technologies such as Docker. Automated testing and continuous integration or delivery. Data analytics or machine learning. Internet of Things systems and applications. Keywords - Front-End UI, Full-Stack Software Developer, software development, software developer, software, HTML5, CSS3, JavaScript, .NET ...

data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team ...

guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures Communication skills: Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Knows ...

guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures Communication skills: Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Knows ...

guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures Communication skills: Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Knows ...

guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Knows ...

guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Knows ...

Role Overview As a Software Engineer III at JPMorganChase within the AI/ML Technology, you will be a hands‐on engineer responsible for building and shipping production software with a strong focus on AI‐enabled capabilities. You will work across the full software development lifecycle—from requirements clarification ...

environment. Fluent written and spoken English. Experience with cloud platforms, Kubernetes, infrastructure as code, deployment automation, platform operations, streaming systems, data-focused applications or ML Ops concepts. Experience in motorsport, high-performance engineering, aerodynamics, simulation, telemetry or other complex engineering domains would be beneficial but is not mandatory. #J ...

enhance security policies, standards, and procedures across the organisation.* Manage the information security risk program, maintaining a comprehensive risk register.* Oversee AI/ML security risk management, including the development of policies for generative AI technologies.* Collaborate with Financial Crime and Anti-Fraud teams to mitigate cyber risks related ...