26 to 50 of 371 Machine Learning Jobs in Scotland

engineer eager to grow. Join the ranks of top talent at one of the world's most influential companies.As an Applied AI ML Engineer – Associate at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design, develop, and deliver … Tech AIML team, reporting to the AIML Team Lead.Job responsibilitiesExecutes standard software solutions, design, development, and technical troubleshooting for the team's AI/ML productsBuilds and tests features of agentic AI, LLM-powered and ML applications under the direction of senior engineersWrites secure, high-quality production code and maintains ...

engineer eager to grow. Join the ranks of top talent at one of the world's most influential companies. As an Applied AI ML Engineer – Associate at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design, develop … team, reporting to the AIML Team Lead. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting for the team's AI/ML products Builds and tests features of agentic AI, LLM-powered and ML applications under the direction of senior engineers Writes secure, high-quality production code ...

take their career to new heights. Join the ranks of top talent at one of the world's most influential companies.As an Applied AI ML Lead - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you provide deep … responsible to the Head of AIML in IPB Tech for the end-to-end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys.Job responsibilitiesOwns end-to-end delivery ...

responsible to the Head of AI, IPB Tech for the end-to-end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys.Job responsibilitiesOwns end-to-end delivery … priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impactLeads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international marketsSets the engineering quality bar for the team ...

responsible to the Head of AI, IPB Tech for the end-to-end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys. Job responsibilities Owns … delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact Leads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international markets Sets the engineering quality ...

expect to: Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams. Design, build, and operate production AI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring … years of software engineering experience, including significant experience designing, building, and operating complex production systems. 4+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong ...

this role, you can expect to: Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams. Design, build, andoperateproductionAI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring … 12+ years of software engineering experience, including significantexperiencedesigning, building, and operating complex production systems. 6+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strongproficiencyin Python anda track recordof developing maintainable, well-tested production software. Strong SQL skills and experience working with ...

skills Formal training or certification on artificial intelligence and machine learning concepts and applied experience Advanced proficiency in Python and the modern ML/DL stack (e.g., PyTorch, Hugging Face) Hands-on experience evaluating, fine-tuning, and deploying Large Language Models Strong grounding in experimental design, evaluation … benchmarking of ML systems Ability to bridge research and engineering: prototypes that become production-ready capabilities Awareness of inference cost, performance, and optimisation techniques Strong communication skills, including translating research into business and engineering terms Published in a top-tier AIML venue (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR ...

remote‐sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Responsibilities Design, train and evaluate ML models – from gradient‐boosted methods to CNNs, U‐Nets and vision transformers – for commodity and plantation mapping, land‐cover classification, change and disturbance detection, and biomass … plots, and contribute to a strong research culture across Science, AI and Engineering – reviewed code, shared tooling, and active engagement with EO/ML literature. Who you are: Must‐have requirements Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years ...

products. Use experimental data and user feedback to analyse system performance and refine models and algorithms. Stay current with relevant developments in applied mathematics, machine learning, robotics and autonomous systems. Present results to internal and external stakeholders. For more experienced candidates, contribute to technical strategy, mentor colleagues … academic background in mathematics, physics, engineering or a related discipline (BSc, MSc or PhD). Good understanding of statistics, linear algebra, probability, optimisation and machine learning techniques. Experience developing algorithms, numerical methods or physical simulations. Proficiency in at least one programming language used for scientific computing and prototyping ...

capabilities, and skillsFormal training or certification on artificial intelligence and machine learning concepts and applied experienceAdvanced proficiency in Python and the modern ML/DL stack (e.g., PyTorch, Hugging Face)Hands-on experience evaluating, fine-tuning, and deploying Large Language ModelsStrong grounding in experimental design, evaluation, and benchmarking … ML systemsAbility to bridge research and engineering: prototypes that become production-ready capabilitiesAwareness of inference cost, performance, and optimisation techniquesStrong communication skills, including translating research into business and engineering termsPublished in a top-tier AIML venue (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR), or equivalent open-source/applied-research ...

databases and other business applications. Develop straightforward and user-friendly AI applications for web and Microsoft Teams. Develop and deploy LLM and machine learning solutions into production environments. Implement monitoring, logging and audit processes to support GDPR, ISO and wider security requirements. Work with internal stakeholders to understand … within the business. Ensure solutions are secure, scalable, maintainable and aligned with company standards. Essential Experience 2-4 years' experience in AI/ML, software engineering or a closely related field. Experience deploying LLM or machine learning solutions into production. Strong programming skills in Python and/ ...

understand operational challenges and translate them into scalable AI and data-driven solution architectures.Design, develop and deploy AI and Generative AI solutions, including machine learning models, data pipelines and application components that are secure, reliable and performant.Drive the operationalisation of AI solutions using modern engineering and MLOps practices … EDUCATION & EXPERIENCEDegree or equivalent experience in Computer Science, Artificial Intelligence, Data Engineering, Mathematics or a related discipline.Proven experience designing, building and deploying AI or machine learning solutions in a consulting, public sector or enterprise technology environment.Experience owning technical deliverables or workstreams, managing priorities and engaging effectively with both ...

understand operational challenges and translate them into scalable AI and data-driven solution architectures.Design, develop and deploy AI and Generative AI solutions, including machine learning models, data pipelines and application components that are secure, reliable and performant.Drive the operationalisation of AI solutions using modern engineering and MLOps practices … EDUCATION & EXPERIENCEDegree or equivalent experience in Computer Science, Artificial Intelligence, Data Engineering, Mathematics or a related discipline.Proven experience designing, building and deploying AI or machine learning solutions in a consulting, public sector or enterprise technology environment.Experience owning technical deliverables or workstreams, managing priorities and engaging effectively with both ...

will bring advanced engineering expertise to a collaborative, high-performing team focused on building scalable, cloud-native applications that leverage artificial intelligence and machine learning to drive smarter risk decisions. Your work will directly support the firm's ability to assess, monitor, and manage credit risk across wholesale … wholesale credit risk workflowsLead the design and implementation of cloud-native solutions, ensuring high availability, performance, and security across distributed systemsIntegrate artificial intelligence and machine learning capabilities into risk technology platforms to enhance analytical and predictive functionsDrive end-to-end software development lifecycle activities, including design, development, testing ...

technical discipline. Research Skills: Comfortable with research methodologies and experimental design. Technical Expertise: In-depth understanding of operating systems, distributed systems, cloud computing, or machine learning systems. Programming: Strong coding proficiency in at least one key language (such as C or C++). Soft Skills: Excellent communication … collaborative teamwork abilities. Desirable Criteria PhD in operating systems, distributed systems, or machine learning systems. Track record of publications in top systems (e.g., NSDI, EuroSys, SoCC, OSDI) or machine learning (e.g., NeurIPS, ICML, ICLR) conferences and journals. Hands-on experience in the full lifecycle of developing ...

innovation, and ensure our systems remain reliable and future‐ready. Job Responsibilities: Design, develop, and implement AI and data engineering solutions, including data pipelines, machine learning models, analytics applications, and Agentic AI systems. Write secure, high‐quality code in Java, applying best practices for AI and data engineering. … applications. Implement and monitor autonomous AI agents, ensuring reliability, safety, and alignment with organizational goals. Stay current with advancements in Agentic AI, reinforcement learning, and related frameworks. Required Qualifications, Capabilities, and Skills: Formal training or certification in software engineering concepts and recent applied experience in software development. Deep expertise ...

role with a clear pathway toward broader leadership responsibilities.The ideal candidate combines deep knowledge of power systems with advanced expertise in signal processing and machine learning, has experience across an entire algorithm development and deployment pipeline, from first idea and proof-of-concept through to deployment across complex … design and development of advanced algorithms for power system monitoring and grid analytics (e.g., transformers, asset health, and condition monitoring)* Develop **signal processing and machine learning techniques** to extract actionable insights from real-world sensor data.* Architect and deploy solutions across the **Edge-to-Cloud stack**, including implementation ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

Data Science/ML Engineers Location - Glasgow, (Edinburgh is also fine) Duration - 6 months Onsite Requirements - 2-3 days onsite Skills Analytics Centre of Excellence is looking for experienced ML Engineer to support a new initiative focused on Transaction Monitoring (TM) for Business Banking. A similar machine learning … these capabilities into the Business Banking space. Required Skills Strong Python programming skills, including data analysis using libraries such as Pandas Strong understanding of Machine Learning, including both supervised and unsupervised techniques Experience with tree-based and boosting algorithms such as XGBoost, LightGBM, and related approaches Experience working ...

Data Science/ML Engineers Location - Glasgow, (Edinburgh is also fine) Duration - 6 months Onsite Requirements - 2-3 days onsite Skills Analytics Centre of Excellence is looking for experienced ML Engineer to support a new initiative focused on Transaction Monitoring (TM) for Business Banking. A similar machine learning … these capabilities into the Business Banking space. Required Skills Strong Python programming skills, including data analysis using libraries such as Pandas Strong understanding of Machine Learning, including both supervised and unsupervised techniques Experience with tree-based and boosting algorithms such as XGBoost, LightGBM, and related approaches Experience working ...

that can drive your career in new and exciting ways In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, deploy and run high quality AI/ML solutions across a range of industries with varying business … templates for emerging technologies based on client delivery experience and research We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB AI/ML architectural ...

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, spaCy, PyTorch or TensorFlow). Demonstrated experience taking machine learning models from prototype to production - training, packaging … Knowledge of deep learning architectures (CNNs, transformers, sequence models) and of reinforcement learning concepts and their practical applications. Experience building self-service ML tooling - model catalogues, automated pipelines, feature stores, and explainability (SHAP, LIME) surfaced to non-technical users. Understanding of industry-standard validation and testing for LLMs ...

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