2,301 to 2,325 of 10,149 AI Jobs in the UK

ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in interesting and effective ways) Qualifications Essential requirements Experience in managing and technically leading a software … practice (not just in data engineering!) and an understanding of the wider engineering landscape. We are particularly interested in candidates who are actively adopting AI within software engineering environments and are comfortable using AI tooling to improve delivery and productivity. You are required to be able to work ...

architects, consultants, support engineers and delivery leads to develop, maintain and enhance data solutions across cloud platforms. You'll gain exposure to modern technologies, AI-driven initiatives, cloud infrastructure and best-practice engineering approaches while continuing to develop your technical and professional skills. Key Responsibilities Deliver defined work packages … Long-term client engagements delivering meaningful impact. Clear career progression pathways within a growing technology practice. Opportunity to work with modern cloud, data and AI technologies on complex enterprise programmes. ...

architects, consultants, support engineers and delivery leads to develop, maintain and enhance data solutions across cloud platforms. You'll gain exposure to modern technologies, AI-driven initiatives, cloud infrastructure and best-practice engineering approaches while continuing to develop your technical and professional skills. Key Responsibilities Deliver defined work packages … Long-term client engagements delivering meaningful impact. Clear career progression pathways within a growing technology practice. Opportunity to work with modern cloud, data and AI technologies on complex enterprise programmes. ...

architects, consultants, support engineers and delivery leads to develop, maintain and enhance data solutions across cloud platforms. You'll gain exposure to modern technologies, AI-driven initiatives, cloud infrastructure and best-practice engineering approaches while continuing to develop your technical and professional skills. Key Responsibilities Deliver defined work packages … Long-term client engagements delivering meaningful impact. Clear career progression pathways within a growing technology practice. Opportunity to work with modern cloud, data and AI technologies on complex enterprise programmes. ...

architects, consultants, support engineers and delivery leads to develop, maintain and enhance data solutions across cloud platforms. You'll gain exposure to modern technologies, AI-driven initiatives, cloud infrastructure and best-practice engineering approaches while continuing to develop your technical and professional skills. Key Responsibilities Deliver defined work packages … Long-term client engagements delivering meaningful impact. Clear career progression pathways within a growing technology practice. Opportunity to work with modern cloud, data and AI technologies on complex enterprise programmes. ...

architects, consultants, support engineers and delivery leads to develop, maintain and enhance data solutions across cloud platforms. You'll gain exposure to modern technologies, AI-driven initiatives, cloud infrastructure and best-practice engineering approaches while continuing to develop your technical and professional skills. Key Responsibilities Deliver defined work packages … Long-term client engagements delivering meaningful impact. Clear career progression pathways within a growing technology practice. Opportunity to work with modern cloud, data and AI technologies on complex enterprise programmes. ...

follow-through. Develop tools and automation to improve production support processes, monitoring, and overall stability of the market data infrastructure. Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements. Drives … organization and technology processes Strongly considers upstream and downstream data and systems or technical implications and advises on mitigation actions Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency ...

execute a book of work, contributing to communities of practice and adoption of leading-edge technologies Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction … ensures consistent validation, security, resiliency, and reuse of proven patterns Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets Required qualifications, capabilities ...

Booksy is seeking a Senior ML/MLOps Engineer to join their Data Science & Applied AI team. The role is fully remote and involves collaborating closely with Data Scientists to transition ML models from prototype to production. Responsibilities include overseeing the ML workflow and ensuring performance within SLAs. Ideal candidates ...

assess and improve developer experience; standardise and consolidate tooling where it creates clear value (including the move to GitHub as a strategic platform). AI adoption across the SDLC: drive practical adoption of AI-enabled engineering across development, testing, review, documentation and support, aligned to governance and measurable outcomes. Engineering … tooling standardisation where it adds value. Clearer engineering metrics and improved visibility of delivery health. Increased reuse of engineering capability and greater adoption of AI-enabled practices. A healthy balance between stack autonomy and organisational consistency. Qualifications What you'll bring This role suits a technical CTO-style leader ...

follow-through. Develop tools and automation to improve production support processes, monitoring, and overall stability of the market data infrastructure. Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements. Drives … organization and technology processes Strongly considers upstream and downstream data and systems or technical implications and advises on mitigation actions Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency ...

ecosystem leadership: Leading and coaching cross-functional teams across client, Capgemini, hyperscaler and third-party vendor organisations, and managing supplier relationships.AI-enabled delivery: Applying AI and GenAI tooling to accelerate programme delivery, and leading programmes that increasingly include AI and data workload migration and modernisationKey expectations from this role include … executives, finance, procurement, engineering, security and operations, with the ability to enlist support and commitment from peers in a matrixed organisation.Experience of programmes involving AI or data workloads, and/or using AI tools to accelerate programme delivery, is highly desirable.Certifications in one or more of MSP, PMP, SAFe, PRINCE2 ...

define, design, build and operate systems that solve our clients’ toughest challenges and seize their biggest opportunities. That often means combining strategy, data, AI, technology, and change management. We specialise in public sector and public-facing organisations—from government agencies and local authorities to energy, utilities, transportation and healthcare. … data sources and survey data Over time you will help to collation and extraction of data to create data products for marketing, reporting and AI business use cases Key skills needed: Problem solving skills: Able to problem solve complex technical issues and develop innovative and elegant solutions Communication: Clear communicator ...

teams to shape and influence future Medical effectiveness capabilities, ensuring UK business requirements are represented.Drive excellence in Veeva, AIM+ and leveraging medical insights and AI-enabled ways of working, ensuring high-quality insight generation and actionable decision-making.Working with the MSL leads, establish robust frameworks and KPIs, in alignment with … Function.Enhance data inputs and outputs from Veeva to support insight-led strategies, campaign design and execution across UK brands and segments.Rapid adoption of Veeva AI in all aspects to drive UK commercial impact.Define and prioritise CRM requirements with UK Sales, Marketing, Medical, Digital & Tech and Insights team, leading continuous improvement ...

publishing to the Play Store. Solid foundation in data structures and algorithms, with a focus on delivering testable, scalable, and maintainable code. Experience using AI/LLM tools in day-to-day development, including how to keep quality, review standards, and security intact when you use them. Experience with modern … decisions with peers and stakeholders on technology, design, and product direction. Triage product and application issues, and respond quickly to customer problems. Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters ...

bottlenecks. Participate in feature planning to ensure metrics, alerting, logging, automation, resiliency, capacity, and performance needs are built in from the start. Use approved AI tools to accelerate root-cause analysis, log and trace investigation, runbook drafting, post-incident analysis, test scaffolding, and documentation. Continuously develop AI skills relevant … Kubernetes. Experience with cloud computing services. Familiarity with common observability and reliability toolchains such as Grafana, Prometheus, Elasticsearch, Kibana, or Jaeger. Ability to use AI-assisted engineering tools responsibly, including validating outputs, understanding failure modes, and applying secure handling of sensitive information. Preferred qualifications, capabilities and skills Experience with AWS. ...

outset. Build highly accessible, responsive and user-friendly interfaces. Integrate with third-party platforms including identity verification, document management and API services. Use AI-assisted development tools effectively and responsibly. Review code, mentor team members and contribute to engineering best practices. Collaborate closely with product, design and engineering teams … knowledge with experience building applications to WCAG 2.1 AA standards. Experience working with component-based design systems and reusable UI libraries. Practical experience using AI development tools within software delivery teams. Excellent communication skills and the confidence to challenge ideas while remaining collaborative and outcome-focused. Technical Skills React ...

hackajob is partnering directly with Atos to hire for this role. Atosis the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their … systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris. About the practice At Atos, we deliver mission-critical digital ...

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. Who We Are AI can be a powerful tool for good in the world – at Altana we apply AI … Singapore, and Australia, General Atomics, Boston Scientific, and more. We are building a global platform connecting the public and private sectors into an AI-powered network for building trusted supply chains. We operate in accordance with our values: we focus on value creation, not capture; we foster diversity and embrace ...

looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data science algorithms, while building, leading, nurturing and retaining a high performing … efforts to develop the data science (and broader customer analytics) "brand" at Kingfisher for both internal and external audiences Proven experience delivering high-quality AI-based products and productionisation of Machine Learning based products Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably ...

LifeScience Job ID: 10500773 | AWS EMEA SARL (UK Branch) AWS Industries Healthcare and Life Sciences (AWSI HCLS) is responsible for driving cloud and AI adoption across the world's leading healthcare providers, life sciences companies, and health technology organizations. The AWSI HCLS team partners with pharmaceutical, biotech, medtech, and health … system customers to design and implement cloud architectures that address industry-specific challenges — from clinical trial modernization and regulatory compliance to generative AI and data-driven patient outcomes. Amazon Web Services (AWS) is looking for experienced and motivated technologists who possess a unique balance of technical depth and strong interpersonal ...

looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data sciencealgorithms,while building, leading, nurturing and retaining a high performing data … efforts to develop the data science (and broader customer analytics) brand at Kingfisher for both internal and external audiences Proven experience delivering high-quality AI-based products and productionisation of Machine Learning based products Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably ...

enterprise networking, including routing, switching, connectivity, cloud networking, and hybrid infrastructure environments. Experience working with AWS or other major cloud platforms. Experience leveraging AI-powered tools and automation to improve project planning, reporting, and delivery processes. Background supporting large-scale planning events, workshops, retrospectives, and team offsites. Experience identifying … retrospectives, lessons learned sessions, and strategic planning events. Produce clear project documentation, dashboards, and executive communications. Drive continuous improvement through process enhancements, automation, and AI-enabled solutions. ...

Helping Version 1 work on proposals with your technical skills Use your expertise to provide some thought leadership Significant experience as a cloud/AI/ML solution architect designing production AI/ML platforms and workloads on AWS (or multi cloud with strong AWS depth). Deep understanding … AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components). Proven ability to take research and prototype environments to enterprise ready architectures, balancing speed, robustness, and long term maintainability. ...

Helping Version 1 work on proposals with your technical skills Use your expertise to provide some thought leadership Significant experience as a cloud/AI/ML solution architect designing production AI/ML platforms and workloads on AWS (or multi-cloud with strong AWS depth). Deep understanding … AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components). Proven ability to take research and prototype environments to enterprise-ready architectures, balancing speed, robustness, and long-term maintainability. ...