101 to 125 of 371 Machine Learning Jobs in Scotland

line of code, but you understand the platform end-to-end and own outcomes. You’ll partner closely with product owners, data scientists and machine learning engineers, site reliability engineering, and business stakeholders to deliver stable, scalable cloud-native analytics.Job responsibilitiesOwn application governance and records by maintaining accurate ...

line of code, but you understand the platform end-to-end and own outcomes. You'll partner closely with product owners, data scientists and machine learning engineers, site reliability engineering, and business stakeholders to deliver stable, scalable cloud-native analytics. Job responsibilities Own application governance and records ...

capabilities for our customers and colleagues.To be successful as a Forward Deployment Engineer, you should have experience with:Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP).Ability ...

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 ...

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 ...

Machine Learning Engineer, AI Startup (Edinburgh, hybrid, UK-wide considered) An early-stage AI infrastructure company building a persistent, high-speed knowledge layer for agentic AI, letting thousands of AI agents query a shared knowledge base concurrently. Spinning out of a leading UK university, currently hardware … infrastructure, having shipped production software Hands-on experience with agentic pipelines, LLM fine-tuning, RAG/GraphRAG, or knowledge graphs Strong Python, comfortable across ML, distributed systems, and performance engineering Track record building benchmarks/eval frameworks with real rigour Systems thinker, high agency, comfortable with ambiguity Strong communicator able ...

architecture across ingestion, storage, transformation, and analytics layers Build and optimise Power BI reports and semantic models for actionable insights Integrate Azure AI/ML capabilities into solutions, including predictive analytics, large language models, and automation workflows Drive pre-sales and client engagements, including solution shaping, proposals, and presentations Ensure … architectures Experience building and optimising data pipelines using SQL, Python, and/or Spark Knowledge of AI and advanced analytics on Azure, including Azure Machine Learning, Cognitive Services, or Fabric AI capabilities Experience integrating AI-driven insights (e.g. predictive models, NLP, or LLM-based solutions) into data platforms ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … teamsAnd it would be great if you had any of the following...Exposure to MLOps or SMLOps tooling and model lifecycle managementExperience supporting AI/ML pipelines, feature engineering or analytics platformsKnowledge of AI governance and secure adoption of generative or agentic AIExperience working in security-focused or regulated environmentsFamiliarity with ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … would be great if you had any of the following... Exposure to MLOps or SMLOps tooling and model lifecycle management Experience supporting AI/ML pipelines, feature engineering or analytics platforms Knowledge of AI governance and secure adoption of generative or agentic AI Experience working in security-focused or regulated ...

Experience with data orchestration tools (Airflow, Step Functions, etc.). Databricks or AWS certifications. Demonstrated proficiency in cloud-native development (e.g., cloud, artificial intelligence, machine learning). Experience with Parquet, JSON, CSV, Avro, Delta Lake file formats. #J-18808-Ljbffr ...

integration/continuous delivery, 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.) Experience with DevOps and Site Reliability Engineering principles Preferred qualifications, capabilities, and skills Familiarity with VMware, OpenShift, Hyper ...

continuous integration/continuous delivery, application resiliency, and securityDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Experience with DevOps and Site Reliability Engineering principlesPreferred qualifications, capabilities, and skillsFamiliarity with VMware, OpenShift, Hyper-V, and bare metal ...

data aggregation techniques.Experience with data orchestration tools (Airflow, Step Functions, etc.).Databricks or AWS certifications.Demonstrated proficiency in cloud-native development (e.g., cloud, artificial intelligence, machine learning).Experience with Parquet, JSON, CSV, Avro, Delta Lake file formats.J.P. Morgan is a global leader in financial services, providing strategic advice ...

continuous integration and continuous delivery, 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 its technology systemsPractical cloud-native experienceHands-on experience using enterprise-authorized ...

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 systemsDemonstrated experience designing and scaling agentic AI-enabled development ...

Experience with data orchestration tools (Airflow, Step Functions, etc.). Databricks or AWS certifications. Demonstrated proficiency in cloud-native development (e.g., cloud, artificial intelligence, machine learning). Experience with Parquet, JSON, CSV, Avro, Delta Lake file formats. J.P. Morgan is a global leader in financial services, providing strategic ...

represent Deloitte in client leadership forums.The following will be an added advantage:Relevant certifications in cloud and AI (e.g., AWS, Azure or GCP; machine learning or data engineering certifications).Experience establishing responsible AI practices (governance, risk and controls) for generative AI and advanced analytics.Consulting experience leading multi-workstream ...

represent Deloitte in client leadership forums.The following will be an added advantage:Relevant certifications in cloud and AI (e.g., AWS, Azure or GCP; machine learning or data engineering certifications).Experience establishing responsible AI practices (governance, risk and controls) for generative AI and advanced analytics.Consulting experience leading multi-workstream ...

resiliency, and security Overall knowledge of the Software Development Life Cycle Curiosity and foundational understanding of Generative AI, large language models, and AI/ML solutions Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ...

architecture Exposure to relational database platforms and cloud data warehousing solutions Curiosity and foundational understanding of generative AI, large language models, and AI/ML solutions Skills in designing efficient data models, including normalization, denormalization, and schema design, with an understanding of relational and star schemas About Us J.P. Morgan ...

Medallion architectureExposure to relational database platforms and cloud data warehousing solutionsCuriosity and foundational understanding of generative AI, large language models, and AI/ML solutionsSkills in designing efficient data models, including normalization, denormalization, and schema design, with an understanding of relational and star schemasJ.P. Morgan is a global leader ...

Python and/or PySpark Advanced knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or 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 ...

scaleExpertise in Python and/or PySparkAdvanced knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineeringExperience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)Advanced ...

seeking a Data Science/ML Engineer to help build and deploy machine learning solutions for transaction monitoring in Business Banking. You will work with large-scale data, implement models, and collaborate with analytics colleagues to turn insights into actionable production workflows. Candidates should be strong in Python … ML techniques, and data visualization, with experience in PySpark and SQL. Location is Glasgow (Edinburgh considered) and the role is onsite 2-3 days per week for a #J-18808-Ljbffr ...

Data applications) to join our growing team and help build the Applications with REST API endpoints to provide recommendations based on data pipelines, ML Model and infrastructure that power analytics, machine learning, and drive business and customer insights across the company. In this role, you’ll contribute … cases.The ideal candidate is a strong technical contributor who enjoys working with building software and data applications at scale, solving practical problems, and continuously learning in a fast-paced environment. If you’re excited by this challenge and want to work within a dynamic company, then we’d love ...