51 to 75 of 370 Machine Learning Jobs in Scotland

pipelines, model serving, containerisation, orchestration, and environment management Sets the standard for reliability, observability, and operational excellence across the team's production AI/ML services Builds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quickly Implements platform-level security, secrets … cloud-native deployment patterns Strong CI/CD experience and a track record of building deployment and release automation Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps) Practical experience with observability tooling (metrics, logging, tracing) and production incident response Experience operating ML/ ...

pipelines, model serving, containerisation, orchestration, and environment management Sets the standard for reliability, observability, and operational excellence across the team's production AI/ML services Builds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quickly Implements platform-level security, secrets … cloud-native deployment patterns Strong CI/CD experience and a track record of building deployment and release automation Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps) Practical experience with observability tooling (metrics, logging, tracing) and production incident response Experience operating ML/ ...

practices (SLOs, error budgets, runbooks) and leads production incident response and post-incident review Builds and operates observability across the team's AI/ML services (metrics, logging, tracing, alerting) Automates infrastructure provisioning and configuration through infrastructure-as-code Implements operational security, secrets management, and access controls to firm-wide … environment Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience) Preferred qualifications, capabilities, and skills Experience operating ML/LLM workloads in production (MLOps, inference reliability, cost/performance management) Experience within financial services technology Familiarity with JPM-internal platform, cloud, and observability ...

reliability practices (SLOs, error budgets, runbooks) and leads production incident response and post-incident reviewBuilds and operates observability across the team's AI/ML services (metrics, logging, tracing, alerting)Automates infrastructure provisioning and configuration through infrastructure-as-codeImplements operational security, secrets management, and access controls to firm-wide standardsPartners … high-availability environmentMaster's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience)Preferred qualifications, capabilities, and skillsExperience operating ML/LLM workloads in production (MLOps, inference reliability, cost/performance management)Experience within financial services technologyFamiliarity with JPM-internal platform, cloud, and observability tooling ...

practices (SLOs, error budgets, runbooks) and leads production incident response and post-incident review Builds and operates observability across the team's AI/ML services (metrics, logging, tracing, alerting) Automates infrastructure provisioning and configuration through infrastructure-as-code Implements operational security, secrets management, and access controls to firm-wide … environment Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience) Preferred qualifications, capabilities, and skills Experience operating ML/LLM workloads in production (MLOps, inference reliability, cost/performance management) Experience within financial services technology Familiarity with JPM-internal platform, cloud, and observability ...

augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation. Work closely with partner teams—including Business, Technology, Product Management, Strategy, and Business Management—to deploy … reliability. Communicate results effectively to business stakeholders through written reports, visualizations, and presentations. Stay current with the latest research in LLM, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement. Qualifications, Capabilities, and Skills Proven experience applying NLP, LLM, and ML techniques ...

engineering in collaboration with senior technical customers and cross-functional teams.The role is suited to a senior engineer with deep expertise in AI/ML security, modern software engineering, and secure-by-design approaches. You will champion secure architectures, embed DevSecOps practices, and help elevate engineering capability as the organisation … itWhat we’re looking for? Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment.Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow ...

collaboration with senior technical customers and cross-functional teams. The role is suited to a senior engineer with deep expertise in AI/ML security, modern software engineering, and secure-by-design approaches. You will champion secure architectures, embed DevSecOps practices, and help elevate engineering capability as the organisation adopts … looking for Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment. Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow ...

career adventure where your ideas matter and your skills drive change.As a Senior Lead Software Engineer, Cloud Platform in the Corporate AI and Machine Learning Data Platforms team, you will design and deliver secure, high-quality technology solutions that support our data and analytics strategy. You will develop … Kubernetes, or 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 AI agents ...

business teams, and product partners (e.g. across Investment, Client experience, and surfacing IPB-first use cases) to discover and frame high-value AI/ML opportunities Rapidly prototypes and builds agentic AI and LLM-powered solutions full-stack and end-to-end (backend, data, and lightweight interfaces as needed … delivery Champions the firm's culture of diversity, Opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on AI/ML engineering concepts and applied experience Advanced Python and full-stack/generalist engineering ability - backend, data, and lightweight front-end - to ship a working ...

career adventure where your ideas matter and your skills drive change. As a Senior Lead Software Engineer, Cloud Platform in the Corporate AI and Machine Learning Data Platforms team, you will design and deliver secure, high-quality technology solutions that support our data and analytics strategy. You will … 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 ...

business teams, and product partners (e.g. across Investment, Client experience, and surfacing IPB-first use cases) to discover and frame high-value AI/ML opportunitiesRapidly prototypes and builds agentic AI and LLM-powered solutions full-stack and end-to-end (backend, data, and lightweight interfaces as needed) to demonstrate … solutioning and deliveryChampions the firm's culture of diversity, Opportunity, inclusion, and respectRequired qualifications, capabilities, and skillsFormal training or certification on AI/ML engineering concepts and applied experienceAdvanced Python and full-stack/generalist engineering ability - backend, data, and lightweight front-end - to ship a working ...

environments Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems Enable production deployment of ML models and LLMs within governed enterprise environments, aligned with firmwide risk and compliance standards Implement and maintain infrastructure as code and automation to ensure repeatable … cloud infrastructure, platform engineering, or systems engineering roles. 4+ hands-on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage, and security services. Understanding of ML platform operations and governance concepts, including ...

which are fundamental to our business transformation initiatives, operational efficiency, strategic decision-making, and critically, the successful development and deployment of advanced AI/ML models, including Generative AI and Agentic AI.The Senior Data Quality Manager will work closely with Data Owners, Data Stewards, and technical teams to identify, assess … Generative AIOptimise existing data quality processes for efficiency and effectivenessCollaboration & Training:Work closely with the businesses, Data Governance, Data Architecture, and AI/ML engineering teams to integrate data quality into the end-to-end data lifecycle, from data ingestion to AI model deploymentProvide training and guidance to Data Owners ...

which are fundamental to our business transformation initiatives, operational efficiency, strategic decision-making, and critically, the successful development and deployment of advanced AI/ML models, including Generative AI and Agentic AI.The Senior Data Quality Manager will work closely with Data Owners, Data Stewards, and technical teams to identify, assess … Generative AIOptimise existing data quality processes for efficiency and effectivenessCollaboration & Training:Work closely with the businesses, Data Governance, Data Architecture, and AI/ML engineering teams to integrate data quality into the end-to-end data lifecycle, from data ingestion to AI model deploymentProvide training and guidance to Data Owners ...

design, embedding modern AI and analytics patterns into enterprise data platforms and services.Maintain an active awareness of emerging trends in data architecture, AI/ML, and enterprise technology, assessing their potential impact and value for Cigna, advising senior leadership on AI strategy, feasibility and adoption paths.AI ArchitectureDefine architectural patterns … field.10+ years of experience building and architecting large-scale software or AI systems in medium-to-large enterprises.5+ years of experience with AI/ML, NLP, or Generative AIExperience working in regulated or compliance-sensitive environments (e.g., healthcare, finance, insurance, global enterprises).Strong communication skills with the ability to influence ...

solutions with data semantic models and selfservice capabilities, including appealing and effective dashboards and visualisations Implementing and supporting data pipelines to deploy scalable Machine Learning solutions that are sustainable in an enterprise environment Implementing and supporting DataOps pipelines Collaborating with and providing technical guidance to a team … regulatory application design within the financial services sector. Insurance and banking domain knowledge is considered an asset Strong technical understanding of Excel/VBA, machine learning concepts, model deployment, software development life cycle practices and Agile methodologies Skilled in data storytelling, visualisation, analysis and critical thinking, with strong ...

business. This is an exciting opportunity to lead the strategy, architecture, and delivery of innovative data platforms that enable business-critical decision making, support machine learning capabilities, and help drive our journey towards Net Zero.Working at the intersection of data science, architecture, and business strategy, you'll influence … design scalable solutions that turn complex business requirements into valuable, actionable insights.You'll also have experience with:Data warehousing, database design, and schema developmentAzure ML, Synapse, AWS, SQL, and Unix-based environmentsData governance, master data management, and testing frameworksMachine learning, statistical analysis, and data visualisation techniquesLeading and managing external ...

Responsibilities: Lead the UK Financial Crime ML portfolio, setting technical direction and ensuring high-quality, scalable model delivery across fraud and transaction monitoring use cases. Driveend-to-end model lifecycle ownership — from data exploration and feature engineering to deployment, monitoring, and performance optimisation. Provide hands-on technical leadership, reviewing Python … computing frameworks (e.g., Spark or similar) and scalable data processing environments. Exposure to cloud-based platforms (e.g., AWS, Azure, GCP or Databricks) and modern ML/MLOps practices. Proven track record managing and growing high-performing data science teams, including technical mentoring and delivery accountability. Strong stakeholder management skills, able ...

design and delivery of secure, scalable and resilient AWS environments.AWS technologies and services across compute, storage, networking, databases, analytics, integration, security and management.AI and machine learning services on AWS, including Amazon Bedrock, Amazon SageMaker AI, Amazon Q, Amazon Comprehend, Amazon Transcribe, Amazon Rekognition and related managed AI services.Generative … cost management, observability and operational readiness.Providing an authoritative point of view on how AWS enables emerging technology trends such as generative AI, agentic AI, machine learning, data platforms, serverless, containers and modern application architectures.Helping clients design and deliver AI-enabled solutions on AWS using services such as Amazon ...

design and delivery of secure, scalable and resilient AWS environments.AWS technologies and services across compute, storage, networking, databases, analytics, integration, security and management.AI and machine learning services on AWS, including Amazon Bedrock, Amazon SageMaker AI, Amazon Q, Amazon Comprehend, Amazon Transcribe, Amazon Rekognition and related managed AI services.Generative … cost management, observability and operational readiness.Providing an authoritative point of view on how AWS enables emerging technology trends such as generative AI, agentic AI, machine learning, data platforms, serverless, containers and modern application architectures.Helping clients design and deliver AI-enabled solutions on AWS using services such as Amazon ...

delivery of secure, scalable and resilient AWS environments.· AWS technologies and services across compute, storage, networking, databases, analytics, integration, security and management.· AI and machine learning services on AWS, including Amazon Bedrock, Amazon SageMaker AI, Amazon Q, Amazon Comprehend, Amazon Transcribe, Amazon Rekognition and related managed AI services. … management, observability and operational readiness.· Providing an authoritative point of view on how AWS enables emerging technology trends such as generative AI, agentic AI, machine learning, data platforms, serverless, containers and modern application architectures.· Helping clients design and deliver AI-enabled solutions on AWS using services such ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will work closely with senior architects on real-world projects, helping to prototype and optimize next-generation AI infrastructure. Required … effective technical communication skills. Desired Qualifications and Experience: PhD in systems, distributed computing, or large-scale AI infrastructure. Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR). Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale ...