24 of 24 Machine Learning Jobs in Renfrewshire

ecosystem, driving innovation in threat detection technologies to safeguard the Internet from known and emerging cybersecurity threats. Who you are: We are seeking a Machine Learning Engineer to join our growing team. If you have a passion for stopping bad actors and excel in working with machine-learning models and data analytics over large datasets, this is your place. You are willing to learn new skills, eager to stay up to date, and to work with other domain experts outside of your comfort zone. You enjoy working in a collaborative environment as a member of … the threat landscape via automation and visualization techniques and develop models to identify new threats. You will have the opportunity to build or enhance machine-learning pipelines to support Cisco's security products and tools, covering from model selection and training, to optimization, deployment, and monitoring. You will More ❯

project direction. Engage with upper management in major decisions and complex issues. Required qualifications Strong knowledge in data analysis, building analytical and/or machine learning models. Master's degree in fields that include strong coverage of applied mathematics and statistics, computer science, engineering, or related fields. Eight More ❯

as CI/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 Familiarity with No SQL Databases such as MongoDB Experience in various messaging technologies such as More ❯

and problem-solving skills Working knowledge of Unix. Emerging 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 Knowledge of AWS Knowledge of Databricks Understanding of Cloudera Hadoop, Spark, HDFS, HBase, Hive. Understanding More ❯

as CI/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.) Familiarity with modern front-end technologies industry-wide technology trends and best practices Ability to work in large, collaborative teams More ❯

Exposure to agile methodologies such as CI/CD, application resiliency, and security Emerging knowledge of software applications and technical processes (e.g., cloud, AI, machine learning, mobile) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Experience with cloud technologies About the Team J.P. Morgan is More ❯

Understanding of agile methodologies, including CI/CD, application resiliency, and security. Knowledge of software applications and technical processes in areas like cloud, AI, machine learning, or mobile platforms. Ability to solve data-oriented problems using technologies like SQL, Relational DB, Spark, NoSQL, with performance optimization. Preferred qualifications More ❯

as CI/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 Familiarity with modern front-end technologies Exposure to cloud technologies Proficient in coding in one More ❯

as CI/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.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies About the Team J.P. Morgan More ❯

as CI/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 Familiarity with modern front-end technologies Exposure to cloud technologies Exposure to Banking/Finance More ❯

as CI/CD, Application Resiliency, and Security Emerging knowledge in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience in UI development with experience in React or Angular, TypeScript, CSS, Micro Frontend Development, and JavaScript Backend Technology - Java More ❯

of the SAP DTS Capability. As part of the role, you will have access to enhance your consulting, functional and technical skills, through Capgemini learning and development, and the latest industry recognised certifications. Your role Analyse and assess client business processes and requirements to design SAP MM/WM … of the latest SAP capabilities and roadmap. AI and Machine Learning Interest: Passion to stay at the cutting edge of AI and ML advancements in SAP, and leveraging these technologies to drive automation, optimise processes, and deliver intelligent analytics that enhance business performance. Your security clearance To be More ❯

of the SAP SCM Capability. As part of the role, you will have access to enhance your consulting, functional and technical skills, through Capgemini learning and development, and the latest industry recognised certifications. Your role Using your experience to provide Functional Consulting within SAP S/4HANA EAM to … the Plant maintenance org structure to offer a fit for purpose design. AI and Machine Learning Interest: Keeping abreast with AI and ML advancements within SAP to drive automation and intelligent analytics in business processes. Your security clearance To be successfully appointed to this role, it is a More ❯

as CI/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.). Preferred Qualifications, Capabilities, and Skills: Familiarity with modern front-end technologies, e.g., React. Exposure to cloud technologies. About the More ❯

as CI/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 Familiarity with modern front-end technologies Familiarity with micro-service architectures Familiarity with Java programming More ❯

architectural software patterns Understanding of business requirements and how they affect software Certifications in cybersecurity (e.g., CISSP, CEH, OSCP) are a plus Knowledge of machine learning or AI techniques applied to security solutions is a plus Technical Skills: Strong proficiency in C++ (or C), and Assembly programming languages More ❯

architectural software patterns Understanding of business requirements and how they affect software. Certifications in cybersecurity (e.g., CISSP, CEH, OSCP) are a plus. Knowledge of machine learning or AI techniques applied to security solutions is a plus Technical Skills Proficiency in C , C++ , and Assembly programming languages. Having a More ❯

as CI/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 Knowledge in Big Data development and software design Understanding of Risk Management and Credit Risk More ❯

or more programming languages, applications, and architecture. Deep knowledge of software architecture, applications, and technical processes, with expertise in areas such as cloud, AI, machine learning, or mobile. Ability to independently resolve design and functionality problems. Experience with cloud technologies (AWS or GCP), via hands-on work or More ❯

primarily JAVA based code) Serve as a subject matter expert in specific focus areas (e.g. developing for the Public Cloud, Data Mesh, AI/ML) Be an advocate for firmwide standard frameworks, tools and best practices across the engineering community. Promote diversity, equity, inclusion, and respect within the team culture. More ❯

on teaching, research and scholarship in areas of Electrical and Electronics Engineering (e.g. in Microelectronics, Power Engineering, Engineering Design, Digital Design, Embedded Systems, Communications, Machine Learning and Artificial Intelligence, and other relevant fields). We particularly welcome applications from women and other under-represented groups in engineering to … the School/College. Contribute to the ongoing development and design of under/postgraduate curricula, to ensure a research-led approach to student learning and assessment in the discipline and/or profession. Manage a variety of academic administrative activities, including timely delivery of effective and constructive feedback … skills including demonstrable supervisory skills. A strong commitment to high quality, research-led, student-oriented teaching and proven ability to engage students to inspire learning, and to provide pastoral care to students. For appointment at Grade 8/9: Excellent leadership skills, able to develop early career academic colleagues More ❯

A background in data governance, data controls, and policy implementation within financial services. Familiarity with oversight on data products, data transformation, and/or machine learning models (e.g., tracking model inputs, data drift, explainability, fairness, and model risk governance). Some other desirable skills may include: Understanding of More ❯

agentic AI system for intelligent data discovery, extraction, and decision-making. Oversee the integration of LLMs, knowledge graphs, retrieval-augmented generation (RAG), and reinforcement learning for autonomous task execution. Champion the application of explainable and trustworthy AI principles in all solutions. Hands-on Technical Leadership Serve as a player … the technical stuff out the way first, your past experience as an Engineer will include working with: Proven experience in data science, AI, or ML roles with increasing leadership responsibility (people management experience not required). Deep expertise in building intelligent systems with one or more of the following: LLMs More ❯

Essential Criteria - Skills and Attributes for Success Experience/Technical: Proven experience in product development within cross-functional data teams (e.g. analysts, data scientists, ML engineers) Strong grasp of the data industry, including tools, best practices, regulations, and emerging trends Demonstrated ability to deliver impactful data products with clear, measurable … outcomes Experience defining and executing a Data Product Strategy Ownership of product roadmaps, prioritisation, and lifecycle management Solid understanding of Data Analysis, Data Science, ML, and AI tools and processes Awareness of data quality principles and practices/Involvement in data governance initiatives Experience working in Agile environments Competencies At More ❯