76 to 100 of 371 Machine Learning Jobs in Scotland

/continuous delivery, application resiliency, and securityDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, Databricks, PySpark, 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 … cloud technologies including AWS, Databricks, and agentic AI solutionsKnowledge of industry-wide technology trends and best practices across disciplines such as artificial intelligence, machine learning, and mobile developmentJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations ...

including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent … including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent ...

DescriptionPurpose of the roleTo design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems. AccountabilitiesAcquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds.Performing data cleaning and pre-processing … segmentation, and marketing optimisation.Monitoring model performance in real-time and identify any potential issues or biases.Leading training, mentoring, and knowledge-sharing sessions to uplift ML capability across the organisation.Evaluating and piloting emerging technologies, tools, and frameworks to ensure the organisation remains at the forefront of AI innovation. Assistant Vice President ...

DescriptionPurpose of the roleTo design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems. AccountabilitiesAcquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds. Performing data cleaning … marketing optimisation. Monitoring model performance in real-time and identify any potential issues or biases. Leading training, mentoring, and knowledge-sharing sessions to uplift ML capability across the organisation. Evaluating and piloting emerging technologies, tools, and frameworks to ensure the organisation remains at the forefront of AI innovation. Assistant Vice ...

business ecosystems, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), SOA, APIs, open data, microservices, event-driven IT, predictive analytics, machine learning and artificial intelligenceGeneral IT Knowledge (applications, storage, networks, IT infrastructure, Infrastructure, service level agreements, Asset management etc)Familiarity with information management practices, system … innovative solutions whilst adhering to strong security constraints.Experience of the latest technology trends and their application within Data - including but not limited to AI, machine learning containerisation, IOT, big data and cloud.Interpersonal SkillsAbility to engage and influence a diverse set of stakeholders (Product Engineering Leaders, Customer, Design Authorities ...

Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool-using agents, evaluation, MLOps … prompt engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time.Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services.Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts ...

Description As a Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool-using agents … engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/ ...

Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool-using agents, evaluation, MLOps … engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/ ...

required to provide hands-on technical leadership to an agile development team within client’s Land Registration domain seeking to leverage document processing and ML to realise new automation opportunities for the organisation. SKILLS/EXPERIENCE OF THE PYTHON ENGINEER Commercial experience with AI/ML technology: OCR, Object Detection … endpoints Requests library for HTTP client operations and external API integration Authentication/authorization implementation (JWT, OAuth) Software Development: Making excellent quality AI/ML software collaboratively with other engineers Working effectively under technical leadership while contributing specialized AI/ML expertise Design and implementation of AI/ML solutions ...

societal impacts using your skills.Working at the intersection of client needs and engineering excellence, you will ensure that our solutions, spanning GenAI and traditional ML, are technically feasible, cost-efficient, and ready for the rigors of the real world.If you are a builder who thrives on deploying production-grade … Your key responsibilities will include:Technical Architecture & EngineeringArchitect End-to-End AI Systems: Design scalable, secure, and production-ready architectures that integrate LLMs and ML models into complex enterprise workflows.Bridge Design & Implementation: Oversee the full technical lifecycle, from selecting the right model architectures to ensuring robust CI/ ...

societal impacts using your skills.Working at the intersection of client needs and engineering excellence, you will ensure that our solutions, spanning GenAI and traditional ML, are technically feasible, cost-efficient, and ready for the rigors of the real world.If you are a builder who thrives on deploying production-grade … Your key responsibilities will include:Technical Architecture & EngineeringArchitect End-to-End AI Systems: Design scalable, secure, and production-ready architectures that integrate LLMs and ML models into complex enterprise workflows.Bridge Design & Implementation: Oversee the full technical lifecycle, from selecting the right model architectures to ensuring robust CI/ ...

Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user … management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable ...

Oracle, PostgreSQL, SQL Server etc.Excellent problem-solving and interpersonal skills.Preferred Qualifications: Experience with machine learning frameworks and tools such as Azure ML Studio, AWS Sagemaker etc. Knowledge of real-time data processing and stream analytics such as Apache Kafka, Azure Event Hubs or similar. Hands on experience with ...

developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environmentExperience Required:·Strong Python and SQL experience·Applied AI engineering, ML engineering or software engineering background·Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning·Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

infrastructure‐as‐code technologies. Experience implementing multi‐cloud architectures and leading end‐to‐end platform development. Background in designing and developing scalable AI/ML or Data platforms. Experience with automation and workflow orchestration for operational efficiency. Published contributions to open‐source or industry‐recognized projects. Hands‐on experience building ...

Kingdom is seeking a Senior AI/NLP Engineer to join a highly collaborative team of business stakeholders, technologists, and control partners to deploy ML solutions into production. A strong passion for machine learning and continuous learning is essential, with solid NLP and financial knowledge and hands ...

AIML Data Platforms and Chief Data and Analytics Team, you will lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform, deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform challenges, especially around Data Lake Tools. … automation and operational excellence.Performs platform design, set-up and configuration, workspace administration, resource monitoring, providing engineering support to Data Engineering teams, Data Science/ML, and Application/Integration teams.Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions ...

AIML Data Platforms and Chief Data and Analytics Team , you will lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform, deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform challenges, especially around Data Lake Tools. … operational excellence. Performs platform design, set-up and configuration, workspace administration, resource monitoring, providing engineering support to Data Engineering teams, Data Science/ML, and Application/Integration teams. Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions ...

Architecture capabilities: Master and Reference Data Management, Data Quality, Metadata Management, Data Taxonomy, Data Integration, Data Migration, and Data Modeling. Demonstrated proficiency in AI, machine learning, or related techniques as applied to architecture or software engineering disciplines. Hands-on experience with object-oriented software development using languages such ...

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

software engineering concepts, plus 5+ years of applied experience building production Python systems, including web/API services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy).Demonstrated experience taking machine learning models from prototype to production - training, packaging, deployment, monitoring, retraining, and decommissioning … engineering, model selection, hyper-parameter tuning, and evaluation, including choosing appropriate metrics for imbalanced and unlabeled problems.Experience with AWS Bedrock, SageMaker (or equivalent managed ML/GenAI platforms), ECS and deployment patterns for scalable inference.Experience with developer productivity tooling such as GitHub Copilot and Claude Code, paired with strong SDLC ...

need engineers like you to help us do it reliably, securely, and at scale.As a Software Engineer III at JPMorganChase within the AI/ML Data Platforms organization, you will be a key member of the Reliability Engineering team, contributing to the design and delivery of trusted, market-leading technology … products. You will apply your technical expertise and problem-solving skills to enhance the reliability and scalability of AI/ML platforms, build reusable services and tooling, and partner across teams to unblock high-impact AI use cases. This is an opportunity to shape how the firm delivers AI capabilities ...

data governance frameworks, ensuring data integrity, and fostering a data-driven culture across the organisation. In an era where data fuels every algorithm and machine learning model, our work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic … impact AI model performanceApplication of AI technologies to Data Quality ManagementData Quality Rule Definition and Implementation:Work closely with business stakeholders and AI/ML teams to define, refine, and validate data quality rules, ensuring they align with business requirements and the specific needs of GenAI and Agentic AI modelsEnsure ...

data governance frameworks, ensuring data integrity, and fostering a data-driven culture across the organisation. In an era where data fuels every algorithm and machine learning model, our work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic … impact AI model performanceApplication of AI technologies to Data Quality ManagementData Quality Rule Definition and Implementation:Work closely with business stakeholders and AI/ML teams to define, refine, and validate data quality rules, ensuring they align with business requirements and the specific needs of GenAI and Agentic AI modelsEnsure ...

Solution Architecture capabilities: Master and Reference Data Management, Data Quality, Metadata Management, Data Taxonomy, Data Integration, Data Migration, and Data Modeling.Demonstrated proficiency in AI, machine learning, or related techniques as applied to architecture or software engineering disciplines.Hands-on experience with object-oriented software development using languages such ...