1,701 to 1,725 of 5,336 AI Jobs

with stakeholders to influence engineering decisions. The core stack is Java-first, with increasing importance on Python-based services (including orchestration, agents, and modern AI/LLM integrations), alongside a strong React frontend. This is not a leadership/management role, but you must be able to operate at senior … across: Java + Spring Boot (core requirement, must be recent – ideally last 12–24 months) Python (recent hands-on experience essential – services, orchestration, or AI/LLM work highly valued) React (strong frontend experience is critical) Experience building and delivering end-to-end full stack applications (frontend, backend, APIs) Plus ...

Translate complex business requirements into secure, scalable cloud solutions Lead large-scale transformation programmes (e.g. data centre exit, legacy modernisation) Drive innovation across data, AI, security, and multi-cloud environments Ensure adherence to security, compliance, and regulatory standards Engage and influence senior stakeholders and executive-level audiences Mentor and develop … Computer Science, Engineering, or related discipline Technical Expertise Architecture & Design Translating business needs into scalable cloud architectures Cost optimisation and cloud best practices Data & AI Experience with data platforms, analytics, and AI/ML solutions Understanding of data lifecycle management Application Architecture Modern cloud patterns (serverless, containers, microservices) CI/ ...

healthy engineering practices, writing clean, well-tested, and well-refactored code with the team, and shipping it into production as often as possible Integrate AI: Implement new features and integrations with foundational models and automation systems to empower our back-office teams. Scale: Optimize, measure and monitor distributed systems … Event-Driven and Microservices. Quality First: A strong track record of using engineering best practices, including Clean Code, TDD/BDD, and deep observability. AI-Augmented Development: Proven experience in critically using AI coding agents (e.g., Claude Code, Gemini Code, GitHub Copilot) to accelerate delivery without compromising code integrity ...

healthy engineering practices, writing clean, well-tested, and well-refactored code with the team, and shipping it into production as often as possible Integrate AI: Implement new features and integrations with foundational models and automation systems to empower our back-office teams. Scale: Optimize, measure and monitor distributed systems … Event-Driven and Microservices. Quality First: A strong track record of using engineering best practices, including Clean Code, TDD/BDD, and deep observability. AI-Augmented Development: Proven experience in critically using AI coding agents (e.g., Claude Code, Gemini Code, GitHub Copilot) to accelerate delivery without compromising code integrity ...

Excellent problem-solving, communication, and stakeholder engagement skills. Strategic thinker with a focus on security, compliance, and innovation. Familiarity with industry trends such as AI, Machine Learning, and cloud technologies Experience of Managing cloud services (e.g., AWS, Azure, GCP). Experience overseeing integration, and end-to-end tests using tools … Test Containers, Vitetest and StoryBook. Expertise in developing and deploying onto a Windows and Linux environment. Desirable skills: Experience with data science, analytics, and AI solutions. Knowledge of secure private/public cloud platforms, virtualisation, and containerisation. Background working within the public sector or government agencies. Join a forward-thinking ...

your opportunity to play a key role in shaping how digital teams measure and grow the impact of their content in a fast‐evolving, AI‐driven market. What to expect Lead, mentor, and grow a team of product managers; provide regular feedback, support career development, and help the team excel … product discovery & delivery. Own the product direction for the Optimization area across analytics, personalization, experimentation, and platform capabilities. Integrate AI and extensible platform capabilities into the product strategy to unlock automation, insight generation, and content performance optimization at scale. Lead cross‐functional teams, driving product vision, and executing product roadmaps ...

cross functional product and engineering teams, the Test and Release Manager defines and coordinates test strategies, embeds modern quality engineering practices (including automation and AI enabled testing), and plans and scopes releases within Customer Engineering, coordinating with other end to end teams across the wider technology estate as required4. … pipelines to minimise manual testing and accelerate feedback. Champion modern testing practices such as shift left testing, TDD/BDD, risk based testing, AI assisted test design/execution and collaborative ownership of quality across delivery teams. Own the scoping and planning of releases within Customer Engineering, including the definition ...

responsibilities include: Defining and owning the transformation roadmap in partnership with the CTO Leading large-scale initiatives across cloud, application modernisation, data platforms, AI and engineering practices Translating strategy into clear programmes, workstreams and measurable outcomes Managing dependencies, risks and delivery trade-offs across multiple initiatives Providing technical oversight across … Strong understanding of software architecture, engineering quality and system design Experience with DevOps, modern delivery practices and cloud-based platforms Exposure to data, analytics, AI or automation initiatives Excellent communication skills, able to translate complex technical change into clear narratives A highly organised, analytical mindset with the ability to lead ...

aligned reporting products that integrate schedule, cost, risk and change into coherent performance narratives. You will work closely with project controls, data engineering and AI teams to ensure reporting captures real delivery conditions and provides meaningful insight. Key Responsibilities: Lead the design, build and maintenance of advanced Power BI dashboards … ensure reporting reflects the true delivery position. Lead automation of reporting pipelines using Power BI, Azure and emerging Smart Core datasets. Partner with AI teams to integrate predictive indicators and automated commentary into reporting. Work closely with clients and senior stakeholders to refine reporting for real-world decision-making. Mentor ...

from maintaining day-to-day systems and providing internal support, through to developing and implementing new digital solutions using web technologies, apps, and emerging AI tools. This is a full-time onsite role working Monday to Friday, 8:00am - 5:00pm. You must live within a commutable distance to Lowestoft … Google Workspace, managing data storage, access, and security Develop and maintain website functionality, performance, usability, and overall user experience Explore, implement, and support AI tools to improve efficiency, automation, and business workflows Assist with planning, developing, and maintaining internal apps and digital solutions aligned to business needs Proactively monitor systems ...

from maintaining day-to-day systems and providing internal support, through to developing and implementing new digital solutions using web technologies, apps, and emerging AI tools. This is a full-time onsite role working Monday to Friday, 8:00am - 5:00pm. You must live within a commutable distance to Lowestoft … Google Workspace, managing data storage, access, and security Develop and maintain website functionality, performance, usability, and overall user experience Explore, implement, and support AI tools to improve efficiency, automation, and business workflows Assist with planning, developing, and maintaining internal apps and digital solutions aligned to business needs Proactively monitor systems ...

Robiquity is a technology consultancy specialising in low-code and AI solutions. Our clients realise measurable benefits in revenue, profitability and service, with multiples of return on investment, typically in-year. We enable future ways of working with AI and Automation, supporting our clients to completely rethink how they operate. ...

everything from modern cloud-native apps to 20-year-old monoliths. You build the right solution for the client's specific constraints and deadlines. AI-Accelerated Engineering: Seamlessly integrate LLMs and AI tooling (Claude, Copilot, Cursor, etc) into your daily workflow to rapid-prototype, accelerate feature delivery, and cut through … frameworks (like React, Vue, or Angular) as tools to solve problems, and you are eager to pick them up as the project demands. AI Tooling Fluency: Hands-on experience using AI coding assistants and LLMs to actively accelerate your development lifecycle. Agile Pragmatism: Experience thriving in fast-paced, collaborative spaces. ...

customers, helping to troubleshoot issues, deliver enhancements, and ensure a smooth user experience. The position offers broad exposure to advanced technologies including computer vision, AI-driven tracking systems, and industrial safety applications. You will work closely with internal engineering, product, and commercial teams, contributing directly to product improvement through real … Work closely with customers, external partners, and internal teams to ensure successful project delivery. Develop and maintain deep technical expertise in our camera-based, AI-powered RTLS platform. Gather and communicate customer feedback to contribute to continuous product improvement. Skills & Qualifications 2+ years of experience in a technical or engineering ...

control (e.g., Git). Excellent problem-solving skills and ability to work independently or in a team. Collaborate with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural decisions Support senior team members in identifying and addressing data science … data cleansing, exploratory data analysis, and data visualization Continuous learner that stays abreast with industry knowledge and technology Why Join Us? Work on impactful AI projects with real-world applications Be part of a collaborative and forward-thinking team Access to continuous learning and development opportunities Flexible working arrangements ...

interview readiness, and support through the job-search process. What roles are in demand right now? A lot of jobseekers assume they must become "AI experts" overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles … such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer. In other words, SynergisticIT focuses on building candidates across Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science ...

LynxRecruitmentissupportingaleadingorganisationwithinfinancialservicessearchingfora DataEngineer todesignandbuildscalable,cloud-firstdataplatformsthatdriveinnovationanddata-leddecision-making. Youwillworkacrossthefulldatalifecycleengineeringsecure,high-performancepipelinesandmoderndataplatformsthatenableanalytics,AI,andenterpriseinsights. KeyResponsibilities BuildandoptimiseETL/ELTpipelines Designandmanagedatawarehouses,lakes,andcloud-nativeplatforms Implementmonitoring,governance,security,andregulatorycomplianceframeworks Deliverhigh-qualitydatasetstoanalyticsandbusinessteams SupportAIandadvancedanalyticsinitiatives Requirements DegreeinIT,ComputerScience,SoftwareEngineering,orrelatedfield(minimum 2:1classification ) Strong SQL&Python Hands-onETL/ELTexperience(e.g.,Matillion,Talend,Fivetran,ADF) Experiencewith Snowflake ...

customers, helping to troubleshoot issues, deliver enhancements, and ensure a smooth user experience. The position offers broad exposure to advanced technologies including computer vision, AI-driven tracking systems, and industrial safety applications. You will work closely with internal engineering, product, and commercial teams, contributing directly to product improvement through real … Work closely with customers, external partners, and internal teams to ensure successful project delivery. Develop and maintain deep technical expertise in our camera-based, AI-powered RTLS platform. Gather and communicate customer feedback to contribute to continuous product improvement. Skills & Qualifications 2+ years of experience in a technical or engineering ...

Focus on Java/Full stack/Devops and Data Science/Data Engineers/Data analysts/BI Analysts/Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing … important to get a Job? SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? Is AI Going to Replace Software Programmers? SynergisticIT All visa types and U.S. citizens are encouraged to apply. Please check the below links: Event videos (OCW, JavaOne, Gartner ...

drive integration with the central authentication platform to enable consistent access control across applications and environments. The team is very quickly moving to AI‐enabled development, and you will be at the heart of that transformation. Being a member of Aladdin you will be: Tenacious: Work in a fast paced … building client‐facing APIs or platforms Strong written and verbal communication skills, with experience managing and mentoring diverse teams. Knowledge of building applications using AI tooling and frameworks (e.g., LLMs, prompt engineering, vector databases). Experience integrating AI/ML services into backend systems and APIs. Familiarity with AI‐driven ...

Role Purpose The Data Analyst/Data Engineer will lead the discovery, interpretation, and presentation of data to enable AI-driven solutions for our client, embedded within operational teams. The role focusses on turning complex, often legacy, datasets into clear insight, narrative, and decision-ready outputs, while ensuring data foundations … content, limitations, and business relevance. Identify, investigate, and clearly articulate data quality, completeness, and consistency issues, including their downstream impact on analytics and AI use cases. Challenge data provenance and assumptions in legacy datasets, reframing against current needs Translate business questions and operational needs into meaningful KPIs, metrics, dashboards ...

process or to perform essential job functions, please contact accommodations-ext@hidglobal.com. Please be aware that our recruitment process may include the use of AI-powered tools to assist in screening applicant resumes. These tools help us efficiently identify candidates whose qualifications and skills align with the job description. … AI in a responsible manner and in accordance with applicable data privacy laws and regulations. Importantly, all applicants are reviewed by our Talent Acquisition team. AI is used to support, not replace, human judgment in the evaluation process. We would like to inform you that the ‘Procedure for reporting violations ...

role in shaping the next generation of enterprise data capability - designing scalable, resilient data engineering solutions on Microsoft Fabric, enabling analytics, reporting, automation and AI innovation across the organisation. This role is ideal for someone who combines deep technical expertise with the ability to define standards, mentor others and drive … scalable, secure and aligned with enterprise data strategy. Architect cloud-native data pipelines and data models to support enterprise analytics, BI, reporting and AI use cases. Work closely with technical and business teams to translate requirements into robust, production-ready data solutions. Build & Optimise Fabric Data Pipelines Design and implement ...

production monitoring. Package and deploy models using Docker and cloud infrastructure, with a focus on reliability and scalability Design and deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools. Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs … Weights & Biases, DVC, or similar). Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred) Practical experience designing agentic AI systems and integrating models with external services Comfortable owning the full ML lifecycle, from data preparation to production deployment Clear communicator who can work effectively ...

Focus on Java/Full stack/Devops and Data Science/Data Engineers/Data analysts/BI Analysts/Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing … important to get a Job? SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? Is AI Going to Replace Software Programmers? SynergisticIT All visa types and U.S. citizens are encouraged to apply. Please check the below links: Event videos (OCW, JavaOne, Gartner ...