301 to 325 of 368 Machine Learning Jobs in Scotland

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 ...

just a few years. 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. About the role and team AI platforms are still mostly run like … alerting on. Incident management: Calm, methodical instincts under pressure, and a habit of fixing the class of problem rather than the instance. AI and ML operations: Experience operating model serving, LLM inference or MLOps pipelines in production is a strong plus. Familiarity with model APIs, vector databases, MCP or orchestration ...

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 ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What you’ll need...Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep learning ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What You’ll Need... Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep ...

EWOR GmbH is seeking exceptional operators and builders to join a new department and steer 0-to-1 initiatives in cutting-edge domains such as B2B. You will translate high-level strategy into concrete roadmaps ...

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 ...

egress, commitments, and burst strategies. Inform buy-versus-build and capacity investment decisions with evidence. Technical Advisory and Enablement: Partner with data scientists, ML engineers, platform engineers, product managers, and security to turn objectives into architecture and architecture into actionable roadmaps. Mentor engineers and fellow architects, and raise the design … infrastructure, or platform engineering, including at least 3 years in a dedicated architecture or solution architecture role and 3 years working on AI/ML platforms or workloads. Demonstrated ownership of enterprise-scale hybrid or multi-cloud architectures spanning on-premises and public cloud environments, from design through adoption. Deep ...

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 ...

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 ...

generation of subsea vehicles, such as the Liberty E-ROV and Freedom AUV, we push the boundaries of autonomy and remote work capabilities, using machine learning for better decision making and asset maintenance. REQUIRED Minimum of seven (7) years’ experience offshore industry performing ROV related scopes. Five ...

executive stakeholders and non-technical peers. Enabling Innovation: Designing usable data models and building reliable foundations that empower advanced analytics, LLMs, and AI/ML applications. Modernising Infrastructure: Overseeing the evolution of cloud data platforms to maximize performance, reduce latency, and optimize cloud costs across AWS, Azure, or Google Cloud. … benefit. Health & Wellness: Medicash Health Cash Plans, Employee Assistance Programme, and Group Sickness Cover. Flexible Working: Hybrid working championed with home office setup budget. Learning & Development: Access to Udemy Business and a dedicated learning budget. Lifestyle Perks: Cycle to Work Scheme, gym and retail discounts. Family First: Enhanced ...

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 ...

measurable business outcomes.Key responsibilities:·Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs·Designing and implementing end to end AI and ML architectures across enterprise environments·Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments·Supporting AI implementation programmes from proof … scale transformation programmes·Producing solution design documentation, implementation plans and technical proposals·Providing technical leadership and mentoring within multidisciplinary teamsExperience Required:·Experience designing AI, ML or modern data architectures within enterprise environments·Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies·Experience architecting scalable ...

Skills: Deep vulnerability research, exploit R&D, manual pentesting (cloud/web/embedded/mobile), SIEM/logging platforms (Splunk, OSQuery), AI/ML security, and distributed systems.Education & Certifications: Master’s degree preferred; Cloud/Security certifications (CCSP, CCAK, AWS Security Specialty, OSCP, CISSP, SANS/GIAC).Soft Skills … holidays. Attractive defined contribution pension scheme.Private medical insurance.Employee stock purchase plan.Flexible working options. Life assurance.Enhanced maternity and paternity pay.Career development support and wide ranging learning opportunities.Employee health and wellbeing support EAP, wellbeing guidance etc.Carbon neutral initiatives/goals.Corporate social responsibility initiatives including support for volunteering days.Well known companies discount ...

Skills: Deep vulnerability research, exploit R&D, manual pentesting (cloud/web/embedded/mobile), SIEM/logging platforms (Splunk, OSQuery), AI/ML security, and distributed systems. Education & Certifications: Master's degree preferred; Cloud/Security certifications (CCSP, CCAK, AWS Security Specialty, OSCP, CISSP, SANS/GIAC). … scheme. Private medical insurance. Employee stock purchase plan. Flexible working options. Life assurance. Enhanced maternity and paternity pay. Career development support and wide ranging learning opportunities. Employee health and wellbeing support EAP, wellbeing guidance etc. Carbon neutral initiatives/goals. Corporate social responsibility initiatives including support for volunteering days. ...

legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure … Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules ...

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 ...

accelerate delivery and improve developer productivity Partner with business and technology teams to rapidly prototype and deploy analytics and tooling, leveraging AI/ML and innovative approaches Implement and manage platform controls, including access, security, and compliance, ensuring all data and AI solutions meet firmwide SDLC standards Identify the lineage … with data lineage tools and techniques, including graph & vector databases and metadata management platforms Hands-on experience with LLM Ops, MLOps, and AI/ML platform deployment at scale Familiarity with business-led analytics delivery models and rapid prototyping frameworks Experience with AI/ML governance, prompt engineering, and integrating ...