1,801 to 1,825 of 7,065 AI Jobs in the UK excluding London

externally funded research and development products investigating and developing low TRL technologies. Product Development – Development and support of Synoptix products, primarily in the AI and Computer Vision (object detection and track) domains. Service Development – Development of Synoptix services, including our upcoming AI Assurance service offering. Key Responsibilities: Leading Software Development … Support the wider team in project planning, requirements definition and requirements analysis. Lead software design, development, testing, deployment and maintenance for a range of AI and Computer Vision products. Contribute to a culture of continuous improvement, identifying opportunities to enhance our processes, tooling, infrastructure and development frameworks. Providing Software Engineering ...

meet marketers' needs. You will help develop teams, partner with global product owners and technology teams, and ensure event platforms, email distribution tools, and AI-enabled marketing capabilities deliver consistently, securely, and at scale. We will rely on you to bring operational rigor, a product mindset, and strong cross-functional … Technology teams Partner with global product owners, suppliers, and the Marketing Technology team to adapt and scale platforms for events, email distribution, and AI-enabled marketing, ensuring regional needs, regulations, and market nuances are reflected in roadmaps and priorities Own the end-to-end lifecycle of regional initiatives from idea ...

minimal supervision.The successful candidate will contribute to the continuous improvement of quality engineering practices, test automation capabilities, and the adoption of innovative technologies, including AI-assisted testing approaches.**Role accountabilities:**· Collaborate with project teams and stakeholders to understand requirements, identify risks and define appropriate test approaches.· Produce test estimates … automated test suites and supporting frameworks using Playwright and TypeScript.· Identify opportunities to improve quality, efficiency and coverage through automation, tooling, process improvements and AI-assisted solutions.**Qualifications & Experience:**· Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience.· 5+ years of experience in software quality assurance.· Strong ...

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 ...

improving health and improving lives. Labcorp is a leader in diagnostics, drug development and healthcare innovation. Across every role, we harness data and AI to work smarter, move faster and create breakthrough solutions that improve health outcomes for people. With our global scale and deep expertise, you'll do meaningful … shifts in medical practice and guidance that may drive shifts in RWD requirements. Stay informed of shifts in technology (including use of AI technologies) to support clinical interpretation and how this is impacting data generation, clinical analyses and interpretation. Clinical translation Provide subject matter expertise in defining and translating clinical ...

activity. Delve into complex system infrastructure to understand the impact of data flows and booking models on reporting quality. Leverage data analytical, automation, and AI-driven tools to detect anomalies in reporting data, mitigate risks, and streamline workflows. Identify, design, and drive the implementation of process improvements and solutions … landscape, and associated processes. Understanding of financial, operational, and reputational risk. A proactive mindset toward process improvement, with an openness to learning and adopting AI tools (e.g., Copilot, AI assistants) and automation to optimize daily workflows. Understanding of financial products, e.g., equities, exchange-traded derivatives, OTC derivatives is an advantage. ...

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 ...

standardising operating cadence (RAID, action/decision logs, dependency tracking), improving transparency, and mentoring other project/program managers where applicable. Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, RAID, and executive-ready updates), validating outputs … handling data according to sensitivity requirements. Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards. Required Qualifications, Capabilities, and Skills Applied experience in technical program/project management, leading complex technology projects and programmes in a large organisation. Proactive, self ...

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 ...

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. ...

Agentic Commerce is about to reshape how the world shops - AI agents that discover, recommend and buy on behalf of shoppers and businesses - and Retail and Consumer Goods companies are racing to get ahead of it. This is your chance to be at the spearhead of that shift, helping some … customer touchpoints, value-chain optimisation through demand forecasting and logistics, digital marketing, and customer-service advancement - using the full suite of cloud, data and AI services available through AWS and our extensive partner ecosystem. In particular, this role sits at the spearhead of Agentic Commerce - the emerging shift where AI ...

building enterprise‐grade applications and data access layers Strong understanding of REST APIs, cloud platforms, DevOps practices, and modern software development lifecycle processes. AI Agentic process engineering & skills Demonstrated ability to contribute directly in code, troubleshoot issues, and deliver production‐ready software in a fast‐paced environment. Experience with … strong interest in leveraging AI‐assisted development tools, automation, and engineering productivity practices to improve SDLC efficiency and delivery outcomes. Excellent problem‐solving, communication, and collaboration skills. Ability to work effectively in a fast‐paced, agile environment with a strong sense of ownership and execution. About ...

increasingly data-driven. As they continue to scale, data will play a critical role in supporting commercial performance, customer growth, operational efficiency, and future AI initiatives. THE ROLE As a Data Engineering Lead you will be responsible for developing and enhancing the organisation's data capability while acting … revenue data Improving data quality, documentation, governance, and accessibility Working closely with commercial, marketing, and operational teams Contributing to the organisation's longer-term AI and data strategy Helping shape and grow the future data function SKILLS AND EXPERIENCE The successful Data Engineering Lead will have the following skills ...

orchestrating all operational workflows, processes, procedures, and tooling. Its a core delivery component of the Version 1 ASPIRE Managed Services offering that places AI, continuous improvement and business innovation at the heart of everything Version 1 does. With a focus on supporting self-service and automation, we utilise the best … Event Management tooling environment. This role is responsible for setting the strategic direction, ensuring tooling currency, driving innovation through automation and AI, and enabling smooth customer transitions and integrations. The Lead will provide technical leadership and governance across all aspects of the Event Management platform, ensuring it aligns with operational ...

building enterprise‐grade applications and data access layers Strong understanding of REST APIs, cloud platforms, DevOps practices, and modern software development lifecycle processes. AI Agentic process engineering & skills Demonstrated ability to contribute directly in code, troubleshoot issues, and deliver production‐ready software in a fast‐paced environment. Experience with … strong interest in leveraging AI‐assisted development tools, automation, and engineering productivity practices to improve SDLC efficiency and delivery outcomes. Excellent problem‐solving, communication, and collaboration skills. Ability to work effectively in a fast‐paced, agile environment with a strong sense of ownership and execution. About ...

scale financial and risk data sets, with attention to performance, data integrity and regulatory control requirements. Work with APIs, JSON, YAML and SQL, using AI-assisted coding tools responsibly to improve delivery, reviewing all outputs for security, compliance and maintainability. Required Skills and Experience Strong Python development skills with … data. Knowledge of data architecture and modern engineering practices including Git-based development, code review, automated testing and CI/CD concepts. Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude or Cursor, with the ability to validate and productionise generated outputs responsibly. Good to Have Understanding ...

production quickly, repeatably and safely. Raise the bar on automated testing — unit, integration and end-to-end — with particular focus on how we verify AI-assisted code before it ships. Work with Infrastructure as Code tools (e.g. Terraform, CloudFormation) to build and manage cloud environments, including containerised workloads. Build … spot problems before customers do. Improve release strategy: feature flags, staged rollouts, safe database migrations, and rollback that works when you need it. Use AI-assisted development tools (e.g. agent-powered IDEs, code generation tools, intelligent documentation systems) to accelerate delivery and improve code quality, and help the wider team ...

craft upcoming products that will delight and encourage millions of Apple’s customers every day! Responsibilities Design and implement state-of-the-art AI/ML that processes news, stocks, and books data to drive recommendations, power advanced search, and enable next-generation AI features. Develop datasets, design model architecture … such as PyTorch, TensorFlow, or similar. Experience designing user-facing machine learning features with interdisciplinary partners. Experience with recommender systems. Experience with text-centric AI/ML (LLMs, document classification, search, etc.) Experience delivering high quality software at scale. Ability to communicate effectively and collaborate with partner teams. Commitment ...

technology is a factor, including external incidents driven by third parties, threat actors, and technology change failure. Understand and utilise trends and toolsets within AI/LLM platforms to assist and streamline assessments in order to produce faster quality outcomes. Required qualifications, capabilities, and skills BS/BA degree … formal written documentation. Attention to detail, clear and concise writing, with ability to translate complex technical information into understandable language. Curiosity and understanding of AI/LLM's with capability to integrate and use AI where appropriate. J.P. Morgan is a global leader in financial services, providing strategic advice ...

contributing to the overall product vision. Our tech stack is diverse, encompassing (but not limited to) Python, Go, TypeScript, React, Kubernetes, Mongo, and Generative AI features requiring adaptability and a willingness to learn. **Responsibilities:*** Work with a wide variety of Citi teams (not limited to Technology) and help them drive … towards everything-as-code and adoption of Developer Engineering tooling and capabilities.* Build AI-powered, data-intensive applications.* Be hands-on with coding and software design to ensure adherence to high quality standards and best practices.* Mentor and nurture other engineers to help them grow their skills and expertise.* Support ...

design and development skills Hands-on Google Cloud Platform (GCP) experience, building and operating cloud-native workloads Expertise in cloud architecture, distributed systems, security, AI/ML or platform engineering Advanced programming expertise in Go and/or Python Kubernetes platform engineering experience, including CRDs and API extensions. Strong knowledge … experience with CI/CD, automation, infrastructure as code and deployment pipelines. Strong understanding of SDLC, Agile delivery, resiliency and security Practical use of AI-assisted development tools such as GitHub Copilot or Claude Code. Excellent stakeholder management, communication, and technical leadership skills. The above is not exhaustive. ...

successful candidate will possess a proven ability to build relationships with senior customer stakeholders, understand their needs and to close large, complex deals encompassing AI, digital, data, cloud and managed services. Based on this experience through your own career, you will be able to lead and coach a team … Private Equity ownership environment is an advantage. Experience in sales roles as both an individual contributor and leader, selling technology services such as AI, Software Engineering, Application Modernisation, Cloud Transformation, Data & Digital Services to customers in the financial services sector. A detailed understanding of outsourced managed services is also required. ...

successful candidate will possess a proven ability to build relationships with senior customer stakeholders, understand their needs and to close large, complex deals encompassing AI, digital, data, cloud and managed services. Based on this experience through your own career, you will be able to lead and coach a team … Private Equity ownership environment is an advantage. Experience in sales roles as both an individual contributor and leader, selling technology services such as AI, Software Engineering, Application Modernisation, Cloud Transformation, Data & Digital Services to customers in the financial services sector. A detailed understanding of outsourced managed services is also required. ...

successful candidate will possess a proven ability to build relationships with senior customer stakeholders, understand their needs and to close large, complex deals encompassing AI, digital, data, cloud and managed services. Based on this experience through your own career, you will be able to lead and coach a team … Private Equity ownership environment is an advantage. Experience in sales roles as both an individual contributor and leader, selling technology services such as AI, Software Engineering, Application Modernisation, Cloud Transformation, Data & Digital Services to customers in the financial services sector. A detailed understanding of outsourced managed services is also required. ...

successful candidate will possess a proven ability to build relationships with senior customer stakeholders, understand their needs and to close large, complex deals encompassing AI, digital, data, cloud and managed services. Based on this experience through your own career, you will be able to lead and coach a team … Private Equity ownership environment is an advantage. Experience in sales roles as both an individual contributor and leader, selling technology services such as AI, Software Engineering, Application Modernisation, Cloud Transformation, Data & Digital Services to customers in the financial services sector. A detailed understanding of outsourced managed services is also required. ...