Top Machine Learning Jobs in Glasgow

Designs, develops, tests, troubleshoots, and maintains secure, scalable software solutions in an enterprise environment. The role involves creating production code, developing architecture and design artifacts, analyzing large datasets, improving system reliability, and using AI-assisted development tools responsibly. The engineer collaborates across agile teams, contributes to engineering communities, and applies technologies such as Python, Databricks, PySpark, cloud platforms, and artificial intelligence.

Leads software engineering within an agile Corporate Technology team, designing, developing, testing, debugging, and maintaining secure, scalable Java, microservices, and React applications. Reviews code, improves software stability, promotes AI-assisted development practices, automates recurring issue remediation, and evaluates vendor and architectural solutions. Requires expertise in SDLC practices, cloud-native technologies, CI/CD, application resiliency, security, and financial-services IT systems.

Leads technical direction for GitLab’s Core DevOps services, covering CI, CD, planning, and source control. Defines architecture, quality metrics, migration strategies, and technical roadmaps; addresses systemic risk and complex design decisions; prototypes and writes code when needed; partners with Infrastructure, Security, SRE, and Product; adopts AI capabilities; mentors senior engineers; supports incident response and senior technical hiring.

Leads enterprise-scale cloud platform engineering programs for AI and data workloads. Responsibilities include architecting Azure, AWS, and GCP environments; implementing Infrastructure as Code, CI/CD, AIOps, observability, security, networking, governance, resilience, and FinOps; and enabling agentic operations. The role mentors engineering teams, establishes technical standards, drives AI-augmented delivery, and contributes to client propositions, bids, and reusable platform assets.

Three-year graduate systems engineering programme involving engineering solution design and development, structured technical training, product work, professional development, and potential rotation across business units or external secondment. Candidates will build engineering skills while working with experienced engineers on customer-focused products in the defence, aerospace, space, and digital security sectors.

Develop and maintain Elasticsearch’s Inference API and plugin framework, integrating internal and external AI providers. Responsibilities include API and protocol design, streaming, asynchronous execution, rate limiting, configuration, billing integration, error handling, open-source contribution reviews, incident response, and comprehensive unit, REST, and rolling-upgrade testing. The role requires advanced Java expertise, concurrency and parallelism knowledge, API design skills, cross-functional collaboration, and autonomous work in a distributed team.

Leads Tide’s global KYX engineering organization across onboarding, continuous due diligence, identity, risk scoring, data science, and ML. Owns engineering strategy, organization design, model lifecycle, regulated AI deployment, and measurable improvements in conversion, due diligence quality, automation, and servicing costs. Partners with operations, policy, risk, compliance, product, and IAM teams across multiple markets while building globally reusable platforms with market-specific logic isolated.

Build scalable, low-latency backend APIs, event-driven services, integration layers, and microservices supporting personalization and recommendation experiences. Partner with AI/ML and data engineers to deploy models, expose AI services, and develop React applications. Improve security, observability, reliability, performance, scalability, and operational efficiency while using AI-assisted engineering tools to enhance delivery and code quality.

Build BLP’s core software across infrastructure, backend, machine learning, and product extension platforms. Responsibilities include operating secure and observable cloud infrastructure, developing performant distributed systems, applying AI to business problems, and enabling customer process automation. The role emphasizes formal reasoning, correctness by construction, maintainable systems, type systems, and functional programming. Work is available onsite in Zurich or remotely within Europe.

Lead and mentor an agile team to design, develop, secure, and operate scalable cloud-native applications using modern front-end tech and AI-assisted engineering practices; drive automation, code quality, resiliency, and operational stability.

Lead and deliver secure, scalable software solutions across multiple teams. Design architecture, produce production-quality code, troubleshoot systems, analyze large datasets, and provide technical leadership to regional and global feature teams while promoting agile practices and inclusive culture.

Lead Software Engineer responsible for designing, building, and supporting cloud-native payments solutions end-to-end. Deliver secure, high-quality production code, drive CI/CD and automation, improve resiliency and security, and leverage AI to optimize development and operations.

Lead design, develop, and deliver secure, scalable software for the Corporate Investment Bank. Drive architecture reviews, troubleshoot and review code, automate remediation, promote CI/CD and resiliency practices, evaluate vendors, and foster engineering best practices and inclusive team culture.

Build and improve Firefox WebCompat internal dashboards, reporting tools, and broken-site screenshot capture pipelines. The role involves creating reliable data views for triage and metrics, automating screenshot workflows, collaborating with WebCompat and QA teams, and translating reporting needs into effective tooling. Familiarity with WebCompat workflows, Bugzilla, screenshot automation, and machine learning is preferred.

Leads Tide’s global engineering organization for ongoing monitoring, fraud detection, financial crime, sanctions, and regulatory-risk platforms. Owns engineering strategy, shared decisioning capabilities, ML model lifecycle, agentic AI governance, platform scalability, and measurable risk and efficiency outcomes. The role manages distributed engineering, data science, and analytics teams while aligning risk, compliance, operations, payments, product, and technology stakeholders across multiple markets.

Lead solution architecture across functional, information, and technical domains for enterprise-scale Securities Services platforms. Design data models, integration, metadata, master data, and migration strategies. Apply AI/ML to architecture practices, ensure conformance to firm standards, participate in governance, evaluate vendors, and promote reuse, security, resiliency, and automation across agile teams.

Research, design, and develop algorithms and software systems for AI-driven CNC machining, including toolpath optimization, cutting strategies, and automated CAM workflows. Collaborate with manufacturing experts, data scientists, and software engineers to convert advanced concepts into reliable production software. The role emphasizes high-performance C++ development, computational geometry, numerical methods, optimization, and modern software engineering practices.

Conduct and publish original research in artificial intelligence, digital manufacturing, robotics, digital twins, and related engineering disciplines. Develop and deliver undergraduate, postgraduate, and continuing professional development teaching. Supervise PhD students, contribute to curriculum development, pursue research grants, engage with industry and policy partners, and support university management, enterprise, knowledge transfer, and inclusion initiatives.

Reviews and evaluates engineering, infrastructure, and platform documents and work products for technical accuracy, completeness, clarity, consistency, and relevance. Provides structured feedback, identifies errors and gaps, compares technical approaches, and follows defined evaluation frameworks. Requires independent work, strong communication, analytical ability, and professional engineering judgment. The role is fully remote and supports varied technical evaluation projects as an independent contractor.

Build and extend the platform layer: design shared backend services and APIs, improve reliability and correctness, collaborate with product teams to remove platform bottlenecks, mentor engineers, shape architecture and migrations, and write high-quality fullstack code with a backend focus.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

Leads application engineering for an AI-powered email product across backend, mobile, and desktop platforms. Designs reliable AI workflows involving orchestration, state, tool use, retries, fallbacks, and failure handling. Builds APIs connecting AI capabilities to product experiences, makes architectural trade-offs, establishes observability and operational excellence, and leads a small senior engineering team through mentorship, design reviews, and code reviews. Partners with ML leadership to deliver scalable, reliable, and maintainable production systems.

Lead application engineering for an AI-powered email product across backend, mobile, and desktop platforms. Design reliable AI workflows involving orchestration, state, tool use, retries, fallbacks, and failure handling. Build APIs connecting AI systems to product experiences, make architecture and scalability decisions, mentor senior engineers, and establish strong observability, monitoring, testing, security, and operational practices. Partner with ML leadership to ship fast, reliable, maintainable product experiences.

Lead and scale engineering teams building multi-tenant Voice AI, Agent QA, analytics, auto-learning, and workforce management platforms. Own architecture for high-throughput voice data systems, real-time pipelines, telephony integrations, optimization algorithms, and enterprise compliance. Recruit and develop senior engineers and managers, establish engineering standards, guide cross-functional roadmap alignment, and deliver reliable production systems across global geographies.

The role involves building infrastructure for training open source foundation models, with emphasis on autonomy and contributing in a dynamic team.