151 to 175 of 194 Machine Learning Jobs in Glasgow

J.P. Morgan is seeking an Applied AI/ML Lead Engineer to design and productionize Generative AI and Agentic AI solutions. You will work across GenAI, RAG, and tool-using agents, delivering production-grade services on AWS and cloud-native platforms. The role emphasizes modern AI engineering workflows, strong software ...

Head Resourcing Ltd is recruiting an experienced AI/Machine Learning Engineer Contractor in Glasgow on a hybrid basis. The initial contract is 3 months with the potential to extend, paying up to £500 per day Inside IR35. The role focuses on accelerating delivery of innovative AI solutions ...

Preferred Qualifications Frontend experience using React is a plus. Knowledge of SAP systems and integration patterns is advantageous. Familiarity with LLMs and AI/ML integration patterns is a plus but not mandatory. Experience working in cross‐functional, remote, or distributed engineering teams. Exposure to containerization of Applications (Docker, Kubernetes … . What We Offer Competitive consultancy fee commensurate with experience. Collaborative and growth‐oriented work environment. Continuous learning opportunities and access to cutting‐edge AI technologies. If this sounds like you, we'd love to hear from you. Join the enterprises scaling their autonomous workflows with Kodamai's next ...

insights to demonstrate programme effectiveness and support governance decision-making. Facilitate continual improvement by investigating and utilising latest technologies such as Artificial Intelligence/Machine Learning and other process methodologies to help transform the delivery of the services with a focus on greater efficiency and accuracy. Stay abreast … more of the following: - Third Party Risk Management/Vendor Risk Management (TPRM/VRM) systems such as Mitratech Prevalent, Onetrust, Panorasys etc. - Learning and development platforms offering both traditional course content and phishing and where available other xx-ishing capabilities (Proofpoint, Knowbe4, Hoxhunt or equivalent) - Email or wider ...

Engineering team, the successful candidate is require to lead the design and governance of scalable, secure, and trusted data architectures that support reporting, analytics, machine learning, and AI-driven solutions across the organisation. Key Tasks & Responsibilities will include: Design and govern enterprise, logical, and physical data models. Define ...

J.P. Morgan seeks a hands-on Lead DevOps/SRE Engineer - Vice President to own automation, reliability and production operations of AI/ML platforms. You will build CI/CD, observability, and incident-management practices that keep services stable across international markets. As part of the IPB Tech AIML ...

Isovalent), GitOps workflows (ArgoCD/Flux), Helm, and service mesh.Familiarity with AI-ready infrastructure: GPU compute, high-performance fabrics (RoCE/InfiniBand), AI/ML reference architectures (e.g., Cisco + NVIDIA), and storage for AI workloads.Relevant industry certifications (e.g., CCNP/CCIE Data Center, VMware VCP, CKA/CKAD ...

ecosystem applications (APIs, events, SLT/CDC, iPaaS/BTP). • Prioritise AI use cases (forecasting, ATP optimisation, document AI, anomaly detection). • Define ML data contracts and embed models in operational processes (Fiori, SAC). • Establish MLOps foundations: pipelines, CI/CD, monitoring, retraining, drift. • Chair the Data ...

JPMorgan Chase & Co. is seeking a hands-on AI Research Engineer at Vice President level within the IPB Tech AIML team in Glasgow. You will lead applied research, evaluate emerging techniques, and prototype production-ready ...

solution and integration level. Data Governance and Data Stewardship. Data Integration and Platform Architecture. Standardised Architecture Governance. Highly valued skills Analytics, AI and Machine Learning Architecture Cloud Data Platforms Master Data Management (MDM) and Reference Data You may be assessed on the key critical skills relevant for success ...

alliance partners to deliver differentiated offerings. The role combines hands-on engineering with strategic leadership, overseeing a global team of ServiceNow developers, AI/ML engineers, and integration specialists, while shaping the next generation of enterprise #J-18808-Ljbffr ...

Copilot) to accelerate delivery and improve developer productivityPartner with business and technology teams to rapidly prototype and deploy analytics and tooling, leveraging AI/ML and innovative approachesImplement and manage platform controls, including access, security, and compliance, ensuring all data and AI solutions meet firmwide SDLC standardsProvide transparency and drive … experience with data lineage tools and techniques, including graph & vector databases and metadata management platformsHands-on experience with LLM Ops, MLOps, and AI/ML platform deployment at scaleFamiliarity with business-led analytics delivery models and rapid prototyping frameworksExperience with AI/ML governance, prompt engineering, and integrating AI tools ...

firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this … with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data ...

Data & AI Architecture Fluency: Deep understanding of modern data stacks (Data Lakehouses, Data Mesh, Real-time Streaming, ETL/ELT pipelines) and AI/ML lifecycle management (MLOps, GenAI integration, Model Governance). Ability to challenge architectural patterns and supervise technical teams without acting as the hands-on architect. Cloud … Technical Oversight End-to-End Data Programme Delivery: Drive the full lifecycle of complex data initiatives (Data Lakehouses, Data Mesh, Real-time Streaming, and ML/GenAI pipelines) from inception to production, ensuring alignment with GlobalLogic’s Delivery Framework and client governance. Architecture & Technical Alignment: Bridge the gap between ...

Copilot) to accelerate delivery and improve developer productivityPartner with business and technology teams to rapidly prototype and deploy analytics and tooling, leveraging AI/ML and innovative approachesImplement and manage platform controls, including access, security, and compliance, ensuring all data and AI solutions meet firmwide SDLC standardsIdentify the lineage … experience with data lineage tools and techniques, including graph & vector databases and metadata management platformsHands-on experience with LLM Ops, MLOps, and AI/ML platform deployment at scaleFamiliarity with business-led analytics delivery models and rapid prototyping frameworksExperience with AI/ML governance, prompt engineering, and integrating AI tools ...

capabilities, and skills Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/or PySpark Advanced … knowledge of software application development and technical processes in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, and orchestration frameworks Working knowledge of relational and NoSQL databases, vector stores, and data lake architectures Familiarity with observability tools and frameworks ...

improvementRequired qualifications, capabilities, and skillsPractical experience delivering system design, application development, testing, and operational stability at enterprise scaleExperience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environmentsProficiency in one or more programming languages, particularly Python and/or PySparkAdvanced knowledge … software application development and technical processes in disciplines such as cloud, AI/ML, or data engineeringExperience in large-scale data processing, microservices, API design, and orchestration frameworksWorking knowledge of relational and NoSQL databases, vector stores, and data lake architecturesFamiliarity with observability tools and frameworksPractical cloud-native experience (AWS, Azure ...

opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the AI/ML and Data Platform, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure … algorithms that run synchronously with appropriate systems. Performs platform design, set-up and configuration, providing engineering support to data engineering teams, Data Science/ML, and Application/integration teams. Collaborates with engineering and data teams to optimize infrastructure and deployment processes, focusing on automation and operational excellence. Identifies opportunities ...

will define the planning cadence, drive cross-functional programmes, and ensure that strategic decisions deliver measurable outcomes. You will provide technical credibility across machine learning, robotics and modern software delivery, challenge assumptions, manage dependencies, and align CTO priorities with business goals. #J-18808-Ljbffr ...

aspects of the Software Development Life Cycle, including design, development, testing, and operational stability in production environments Cactical understanding of AI/ML concepts and experience integrating or embedding AI/ML capabilities into business applications or data workflows, with the ability to identify opportunities where intelligent automation or predictive ...

aspects of the Software Development Life Cycle, including design, development, testing, and operational stability in production environments Practical understanding of AI/ML concepts and experience integrating or embedding AI/ML capabilities into business applications or data workflows, with the ability to identify opportunities where intelligent automation or predictive ...

practicesProficient in all aspects of the Software Development Life Cycle, including design, development, testing, and operational stability in production environmentsPractical understanding of AI/ML concepts and experience integrating or embedding AI/ML capabilities into business applications or data workflows, with the ability to identify opportunities where intelligent automation ...

practical experience delivering system design, application development, testing, and operational stability at enterprise scale Hands-on experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures with tool use, memory, and multi-step reasoning in regulated environments Expert in one or more programming languages …/or Java Advanced knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering) Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced ...

using GitLab. Support platform modernization and migration initiatives leveraging Spark-based architectures. Work closely with Data Scientists and Analytics teams to enable AI/ML use cases. Required Skills & Experience Strong hands-on experience in Data Engineering with delivery of production-grade solutions. Expertise in PySpark, Apache Spark, Python … independently. Strong stakeholder management and communication skills. Nice to Have Experience with Databricks, Delta Lake, Unity Catalog, and migration projects. Knowledge of AI/ML and MLOps frameworks. Experience with streaming technologies such as Kafka or Kinesis. Ideal Candidate: A hands-on Data Engineer with strong expertise in Spark, PySpark ...

which you’ll help build with us. We are a small, ambitious team. You won't be a cog in a machine - you'll have direct impact on products, architecture decisions, and the direction of the technology. The Role We're looking for a senior developer who is comfortable … genuinely strengthen your application: GraphQL/Hasura experience AI and embeddings - experience with vector databases, LLMs, retrieval-augmented generation (RAG), or applying AI/ML techniques to deliver better user experiences MongoDB (we still have legacy systems running on it) CI/CD and DevOps - Docker, build pipelines, automated testing ...