251 to 275 of 7,381 AI Jobs in the UK excluding London

software. This is a role for engineers who take initiative, pull others along with them, and use every tool at their disposal — including generative AI — to ship quality work faster than anyone thought possible. Key Responsibilities Lead the design, development, and delivery of full-stack applications, owning technical direction from … architecture through production deployment Drive technical decisions and trade-offs, communicating rationale clearly to both engineering peers and non-technical stakeholders Leverage generative AI tools (coding assistants, LLM APIs, AI-augmented workflows) to accelerate development, improve code quality, and build AI-powered features into products Architect and implement cloud-native ...

right candidates. These are hybrid roles, offering a combination of at home and on‐site working. We’re Aioi R&D Lab – an AI tech hub in one of the fastest‐growing insurance companies. We research and develop AI systems that catapult insurance from a slow‐moving, traditional past into … that underpins our mission. Senior Machine Learning Engineer As a Senior Machine Learning Engineer, you will support the development of a privacy‐preserving generative AI ecosystem designed to protect personal and sensitive corporate data by design, including data residency, anonymisation and secure deployment principles. Working within a multidisciplinary and multi ...

contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness … proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Drives decisions that influence the product design, application functionality, and technical operations ...

contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness … proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Drives decisions that influence the product design, application functionality, and technical operations ...

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 ...

direct line management of the Finance Process Specialist and any future roles within the finance systems team. The role also carries responsibility for governing AI adoption within Finance and ensuring all technology outputs meet audit and public body requirements. Key Responsibilities The key responsibilities of the role are outlined below … improvement within the team, supporting colleagues of varying technical skills to adopt new tools and translating complex system logic into accessible, well-documented outputs. AI governance and adoption Evaluate and govern AI tool deployment in Finance, identifying where AI can improve efficiency, data quality, or reporting. Ensure AI-assisted outputs ...

maintain complex desktop and cloud applications using modern software engineering practices, including design patterns, SOLID principles, automated testing, and CI/CD. Leverage AI-assisted development tools such as GitHub Copilot, code-generation tools, and automated testing assistants to improve productivity and code quality. Collaborate closely with the Team Lead … trade-offs, progress, and technical challenges effectively to both technical and non-technical stakeholders. Continuously evaluate and adopt relevant technologies, frameworks, cloud services, and AI-assisted development tools. Required Experience & Qualifications Software Engineer: 3 to 10 years of professional software engineering experience. Senior Software Engineer: 5 to 15 years ...

they are trusted, scalable and built for impact. You will drive data modelling standards, analytics architecture and engineering best practices, enabling high-quality insights, AI-powered analytics and secure self-service capabilities. Partnering with security, platform and engineering teams, you will shape long-term strategy, champion data governance and AI … evolution of the cybersecurity analytics architecture, defining data patterns, modelling approaches and data product frameworks that support reporting, advanced analytics, machine learning, GenAI and AI-powered analytics experiences at scale. Data Integration, Transformation and Quality: Establish the strategic approach for data integration, transformation and quality management across the raw, trusted ...

/CD, automated testing, trunk-based development, resiliency patterns) Add to the team culture of diversity, equity, inclusion, and respect 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 Required Qualifications, Capabilities, and Skills: Strong proficiency with modern Java (e.g., Java ...

Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive … lead applications systems analysis and programming activities. Proven leadership in building and scaling enterprise data services, driving cloud transformation, optimising performance, capacity, and delivering AI enabled operational and analytics platform. Responsibilities Lead the design, engineering and delivery of next generation cloud data services supporting data pre-processing, advances matching engines ...

technical problems and deliver scalable outcomes Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems 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 Produce architecture and design artifacts for complex applications while ensuring design constraints ...

teams to implement reliable, scalable and secure solutions while continually identifying opportunities to improve efficiency, automation and user experience. You will also utilise modern AI-assisted engineering tools, including Kiro, GitLab Duo and Microsoft Copilot, to accelerate delivery, automate repetitive tasks, improve code quality and documentation, and enhance operational effectiveness. … innovative technologies have enabled its customers to thrive in the highly competitive UK insurance marketplace. We have built a collaborative and creative culture,leveraging AI-driven solutions to enhance our products, processes and decision-making. We pride ourselves on cultivating an inspiring working environment with our employees at the heart ...

Microsoft technologies. This is a hands-on development role focused on building, testing and supporting solutions while gaining experience in modern platform capabilities, including AI-enabled features where appropriate. What that means day to day Develop and maintain Dynamics 365 solutions, including customisations, plugins (C#), JavaScript, workflows and integrations. Configure … with developers, architects and business teams to deliver enhancements and improvements. Continuously develop technical skills and knowledge of Dynamics 365, Power Platform, Azure and AI related technologies. Identify opportunities to improve processes, automation and user experience through platform capabilities. Support the adoption of AI-enabled features within Dynamics ...

founding team. Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI consulting — dedicated to transforming data into business impact across the entire value chain of organizations. We don't just advise; we build, implement, and deliver results … offices focused on accelerating digital transformation for some of the world's most recognizable brands. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of elite business consultants, data analysts, data scientists, data engineers, and digital experts are all laser-focused on delivering real value ...

engineering tools, cloud-based technologies, and development processes, playing an integral role in shaping the team's technical direction. How will I use AI at Roku? At Roku, AI agents do most of the keystroke-level coding. Engineers act as the technical leads for those agents — setting architecture, reviewing output … ensuring everything meets Roku's quality bar. If you've already shipped features where an AI agent wrote the initial code and you steered it to production, or you've built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent ...

optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job Summary … will support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business-critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging ...

secure, high-quality production code; review and debug code written by others to ensure reliability, performance, and maintainability. Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, accelerated test strategy, incident/root … while enforcing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns. Apply SDLC toolchain knowledge including enterprise-authorized AI-assisted development and automation capabilities to increase the value and impact of automation. Identify recurring issues and lead efforts to eliminate root causes or automate ...

DevOps principles Proficiency with Git and modern version control practices Experience with Agile methodologies (Scrum and/or Kanban) Desirable Experience with building AI applications Experience with Azure ARM Templates and Infrastructure as Code (IaC) Interest in and experience with AI, Large Language Models (LLMs) and AI-based development tooling. ...

secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.We are looking for a code first Data Engineer to design and build scalable and resilient data … into secure containerised environments. You will work across the full lifecycle from development through to production, shaping architectures that support operational users, analytics, and AI enabled capabilities.This role is hands on and engineering. You will write production grade code, contribute to secure platform patterns, and ensure that your data services ...

expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture … vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle Excellent communication ...

Participate in architecture, solution-design and technical decision-making discussions. Mentor junior developers and support the development of a high-performance engineering culture. Use AI-assisted engineering tools responsibly to improve productivity, functionality and application performance. Ensure confidential information and proprietary code are protected while using AI-based tools. Stay ...

working with our GIT partners to design & develop end to end (data to user) analytic solutions that are both scalable & futureproofed to support ongoing AI transformation. You will be responsible for designing & execution through to enablement which means they will need strong & flexible communication skills – flexing between business language & technical … data analytics technology landscapes and big data solutions. A bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field. AI/ML Familiarity: Understanding of how to integrate AI/ML models into data architectures. Platform‐specific data certifications (e.g., GCP, Snowflake). Our Commitment ...

month in the office. Drive Data Quality & Insights – Maintain accurate Engineering data, improve data integrity through regular reviews and clean‐up activities, and leverage AI to enhance reporting, accuracy, and decision‐making. Deliver Process Automation & Continuous Improvement – Identify opportunities to streamline processes, gather business requirements, and implement AI‐driven … share knowledge, promote cross‐training, and reduce operational dependencies through effective knowledge transfer. Develop Reporting & Analytical Capabilities – Stay current with emerging technologies, including AI and Microsoft Power Platform, and contribute to enhanced reporting, analytics, and business insights. Coordinate Business Operations & Events – Support the planning and execution of Engineering events ...

industry-standard practices Advise cross-functional teams on technological matters within your domain Apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation Enhance automation at scale to improve value and efficiency Lead architectural decisions and engineering practices across multiple teams Collaborate with stakeholders … enterprise scale Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks ...

Engineering: Build data‐access layers from existing scientific datasets. Collaboration, Ownership & Delivery: Work closely with bioinformaticians and data scientists to co‐develop applications and AI‐powered tools; operate effectively within Agile development methodologies, participating in sprint planning, refinement, and reviews; use Jira for backlog management, task tracking, and delivery planning … Experience Experience with Microsoft Azure or other cloud platforms (AWS, GCP). Experience with graph databases and graph‐based data modeling. Experience contributing to AI/ML‐enabled tools in a scientific or data‐driven environment. Experience mentoring others or acting as a technical lead or point of reference. Experience ...