26 to 44 of 44 AI Jobs in Lanarkshire

team and products Engage with communities of practice across Software Engineering to learn about and adopt new and emerging technologies Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating … outputs through peer review, automated testing, and secure coding standards Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Add to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities ...

improve CI/CD for UI delivery (linting, automated tests, quality gates, build optimization, release automation) and reduce flaky tests. Use our client-approved AI-assisted development tools (e.g., Claude AI where approved) to accelerate refactoring, feature changes, test generation, and documentation with rigorous human validation. Leverages enterprise-authorized AI … contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Produces architecture and design artifacts for complex applications while being accountable for ensuring ...

AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000 £75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees … back. Location: UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access ...

estate for observability using tools such as Datadog, CloudWatch, and Dynatrace, and use telemetry insights to support improvements to infrastructure hygiene Uses enterprise-authorized AI capabilities within the work environment to accelerate design comprehension and coding support (e.g., drafting unit tests and documentation), validating outputs and handling data according … production environment Familiarity with production readiness practices including observability (metrics, tracing, logging) and incident management in distributed systems Working knowledge of using enterprise-authorized AI capabilities within the work environment to support software engineering workflows with strong validation habits and awareness of data sensitivity Ability to review and validate AI ...

leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause … methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Demonstrated experience leading effective ...

leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause … methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Experience in developing, debugging ...

stakeholders to translate business and technical requirements into scalable platform designs, and document standards, patterns, and runbooks for team-wide use Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while … outputs through peer review, automated testing, and secure coding standards Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts ...

modern API patterns. Develops secure and high-quality production code, and reviews and debugs code written by others Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall ...

DevOps to lead technology operations, cloud transformation and security within an established international software business. A key feature of this role will be an AI-driven mindset. This is an opportunity to play a central role in the organisation's evolution towards a cloud-native SaaS model, modernising infrastructure, strengthening … teams, encouraging collaboration, accountability and continuous improvement. Managing technology budgets, supplier relationships and commercial negotiations, ensuring investment supports business priorities. Championing the adoption of AI and Agentic AI capabilities across technology teams, identifying opportunities to automate workflows, enhance engineering efficiency and improve productivity through intelligent tooling and AI-driven processes. ...

solutions or breakdown technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test … contributes learnings and reusable patterns to improve broader team effectiveness Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Produces architecture and design artifacts for complex applications while being accountable for ensuring ...

across cloud infrastructure, CI/CD pipelines, virtualised environments and Infrastructure as Code. Help identify and mitigate emerging security risks, including those associated with AI and modern cloud technologies. Technical Skills & Experience The successful Cyber Security Engineer is likely to bring experience across several of the following areas: Strong understanding … PowerShell. Understanding of IDS/IPS, vulnerability management and endpoint security. Experience working within or alongside Security Operations Centre (SOC) teams. Knowledge of AI security and AI hardening techniques. Experience with Infrastructure as Code technologies such as: Terraform CloudFormation Bicep Reference: AMC/RHU/CSE #ryhu ...

Our client is a leading British bank. Join our team as a Lead Data Analyst, where you will play a key role in enabling data-driven transformation across the bank. The ideal candidate will have ...

with advancements in cloud technologies and provide recommendations for the adoption and implementation of new tools and approaches Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Contribute to a team culture that champions diversity, opportunity, inclusion, and respect Required ...

explore new technologies where appropriate Apply familiarity with availability, reliability, and scalability principles to iteratively improve outcomes in collaboration with partners Uses enterprise-authorized AI capabilities within the work environment to accelerate incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security … requirements Applies enterprise-authorized AI capabilities within the work environment to identify patterns in operational signals that indicate reliability risk or recurring toil, prioritizing reuse-first improvements tied to service level objective outcomes Required qualifications, capabilities, and skills Formal training or certification on site reliability engineering concepts and proficient applied ...

looking for an experienced Engineering Manager (Data) to lead the design, build, and evolution of a modern enterprise data platform that underpins advanced analytics, AI, and data-driven decision making. This is a highly technical, hands-on leadership role. You'll combine deep data engineering expertise with team leadership, helping … platform. You'll work across data ingestion, transformation, storage, governance, and consumption layers, ensuring the platform is secure, scalable, and capable of supporting future AI and automation initiatives. This role offers a unique opportunity to influence both technical strategy and hands-on delivery while building a high-performing engineering capability. ...

practices Mentor and support fellow engineers through code reviews, pairing and mob programming sessions, and constructive, pragmatic feedback Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts ...

Ready to start a career at the forefront of AI, technology and business development? Valorem First is looking for an ambitious and enthusiastic Digital & AI Support Apprentice to join our growing team. This is an exciting opportunity to gain hands-on experience with cutting-edge AI and sales technologies while … supporting colleagues across the business, helping drive the adoption of digital tools, improving processes, and enabling teams to work smarter through the use of AI and technology. If you're passionate about technology, excited by AI, and ready to kick-start your career, we'd love to hear from you. ...

Organisational Change Management through running significant change initiatives Experience of Project Management through running complex projects with evidence of budget oversight Experience utilising AI for delivery methods, automation, and emerging technologies to improve efficiency and scalability Project Management Qualification- Such as a Professional project management certification is desirable, such … better processes, workflows, tools and automation, while managing resources, commercial requirements, risks, dependencies and escalations. Guide the responsible adoption of real-time, interactive and AI-enabled technologies, including modern development tools and practices. Build connected, collaborative and high-performing global teams through knowledge sharing, coaching, innovation and the development ...

have: User-Centered Design & Research: A deep understanding of user research methodologies, insight generation, and validation techniques to create exceptional customer experiences, including new AI solutions for rapid testing. Iterative Prototyping & Implementation: Strong ability to translate ideas into wireframes, prototypes, and refined solutions through iterative design and testing, collaborating closely … ability to disrupt traditional approaches and introduce new ideas. Some other highly valued skills may include: Technology Literacy & Innovation: Strong grasp of digital platforms, AI, and emerging technologies, with the ability to apply them strategically to drive product innovation. Adaptability & Continuous Learning: A flexible mindset to navigate fast-changing market ...