1 to 25 of 104 Permanent Machine Learning Jobs in Lanarkshire

transformation in secure environments where quality, assurance and governance matter.Your work will help clients move from data science experimentation to production-ready AI and ML solutions that are scalable, explainable, secure and aligned to measurable mission outcomes.Connect to your career at Deloitte Deloitte drives progress. Using our vast range … action we take, guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking to hire experienced ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties ...

take, guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking to hire talented AI/ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties … technical capability with client-facing delivery, helping to translate business needs into production-ready AI and machine learning systems.As an AI/ML Engineer, you will play a key role in designing, developing and delivering data and AI solutions for our clients. In this role ...

multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python … with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 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 ...

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 ...

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 ...

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 ...

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 ...

/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 ...

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 ...