1,326 to 1,350 of 4,892 Permanent AI Jobs

entire ML lifecycle—from automated training pipelines to real-time inference clusters—and serve as a key software engineering contributor to our AI product stack. This is a hybrid role – three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline … applying SOLID principles to ML codebases to ensure they remain modular and maintainable ML Observability Establish and own the telemetry framework for the AI stack Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy FinOps & Cost Management Own the strategy ...

part of a high-performing cloud architecture team known for: Close collaboration from cloud strategy through to delivery Access to leading experts across cloud, AI, data, and engineering A culture built on innovation, continuous learning, and shared success The opportunity to work with some of the biggest and most complex … will: Define cloud strategy and governance models for enterprise AWS adoption Set cloud architecture standards aligned with complex business goals Drive innovation across data, AI, security, DevOps, and multi-cloud ecosystems Lead large-scale transformation programmes (data centre exit, legacy modernisation, cloud-native rebuilds) Ensure cloud solutions meet regulatory, security ...

About us: At Diligent, we are on a mission to help fintechs and banks automate and enhance Anti-Money Laundering operations with AI agents. Leading banks and payment companies use us to automate risk investigations they run when onboarding and monitoring business customers in Europe, Middle East, USA and Asia. … Europe’s top fintechs, and we’re taking that experience to revolutionize how financial institutions verify the legitimacy of businesses. With deep expertise in AI-driven risk assessment, we turn unstructured data into powerful insights, helping our customers automate manual reviews, strengthen fraud detection, and improve the onboarding experience ...

services deployed within AWS environments, including API Gateway and scalable service architectures Design, build, and maintain reliable APIs for internal systems and integrations Use AI-assisted development tools (e.g., GitHub Copilot and IDE-integrated AI assistants) as part of the engineering workflow Collaborate with engineers, architects, and product teams across … Experience designing and building APIs Strong mathematical or quantitative background Experience modernising legacy systems Experience designing data processing pipelines or ETL solutions Experience using AI-assisted development tools such as GitHub Copilot Experience in financial services, market data, or capital markets environments Degree in Computer Science, Software Engineering, Electronics, Electrical ...

optimise system performance, availability, and scalability Help the team to shape and continuously improve their working practices and software development processes Use modern AI-assisted development tools to improve delivery speed and quality across coding, test creation, debugging, refactoring and documentation Critically review, validate and refine AI-generated output … ensure it is correct, secure, maintainable and aligned with business and technical requirements Help the wider development team adopt effective AI-assisted development practices through practical guidance, coaching and leading by example Please note that this job profile is not an exhaustive list of duties but merely an outline ...

alone , and this organisation is working at the forefront of tackling fraud, money laundering, and illicit finance using data, analytics, and AI . This is an opportunity to join at an early stage of growth , where you will be part of a small, expert team and gain immediate exposure … activity. Data Engineering & Analysis Work with large, complex financial datasets; extract, transform, and analyse data to identify suspicious behaviour and risk patterns Machine Learning & AI Build and support models designed to detect fraud, money laundering, and other financial crime risks Financial Crime Use Cases Apply your work across areas such ...

optimization, and debugging—ensuring successful product delivery. We are looking for an experienced Software Engineer with strong expertise in designing, developing, debugging, and optimizing AI/ML solutions across operating systems such as Linux, Android, QNX, or similar embedded platforms. In this role, you will work directly with customers … Experience applying ML in automotive infotainment or autonomous driving Familiarity with ML benchmarking tools such as MLPerf Experience with dedicated ML accelerators or embedded AI hardware Proficiency with debugging tools (e.g., JTAG, ftrace, GDB) Experience with generative AI model tuning or reinforcement learning By applying to this role you understand ...

production software. Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI-powered features. Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync. What we're looking for Leadership Excellence … Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure). AI Awareness: You aren't necessarily a researcher, but you have expectations of how AI fits into the stack . You understand the basics of model ...

Cyber Security, Computer Science, Information Technology, or equivalent practical experience. · Foundational security certifications as listed above, with willingness to pursue further professional development. AI & Automation Responsibilities · Utilize provided AI prompt templates to assist in generating risk assessment reports, policy documentation, and training materials. · Support the implementation of automation scripts … code workflows for compliance checks and security monitoring tasks. · Engage in training on AI-driven security analytics tools, applying insights to improve engineering efficiency and effectivenes Wellbeing that means something 26 days’ holiday + bank holidays (and the option to buy more) plus 1 paid volunteering day every year Exceptional ...

Commercial Data Consultant (Data & AI Consultancy) | London (Hybrid) We're hiring a Consultant to join a fast-growing data & AI consultancy working closely with private equity funds and their portfolio companies to drive real commercial impact. This is a hands-on, high-ownership role where you'll lead projects ...

over 2 million customers, we’re united by a shared purpose: to transform the way millions of businesses work. As a global leader in AI, finance and HR software, we harness cutting-edge technology and forward-thinking ideas to simplify complexity and drive progress. At Sage, you’ll join … Sage’s cloud products used by thousands of customers daily Working with cutting-edge technologies including containerisation, serverless architectures, infrastructure as code, and premium AI tools like GitHub Copilot Developing critical incident management skills as part of our 24/7 operation, participating in on-call rotation with full support ...

strategy and architecture, with a strong focus on Microsoft Fabric. This role is responsible for designing, governing, and modernizing data platforms to enable analytics, AI/ML, and BI across the enterprise. The ideal candidate brings hands-on Microsoft Fabric architect-level expertise combined with strong stakeholder engagement and governance … Medallion pattern). Define and govern conceptual, logical, and physical data models across enterprise data domains. Ensure data platforms support enterprise analytics, Power BI, AI/ML, and real-time use cases. Architect secure, scalable, and cost-efficient cloud-native data solutions on Azure, leveraging Fabric-native capabilities. Embed data ...

expand model, you will secure high‐value new business and grow accounts by introducing the full Bytes portfolio - spanning Microsoft cloud, cybersecurity, data & AI, software licensing, and managed services. Our Portfolio Cloud Solutions - Modernising and optimising cloud estates across Azure, M365, AWS, and the modern workplace, including large‐scale migration … protection, detection, and response across identity, data, and infrastructure, delivered with leading vendors such as Microsoft, CrowdStrike, Check Point, Mimecast, Wiz, and CyberArk. Data & AI - Driving insight and automation with data strategy, governance, analytics, and Azure‐based AI/Copilot services. Modern Workplace & Hybrid Infrastructure - Enhancing collaboration, productivity, and core ...

.NET Developer, C# 14 - Financial Consultancy - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS Living Standard, Programmer, Full Stack Engineer, Architect, .NET Developer) Established in the early 1970s … C#) or windows/desktop development (C#.NET). My client can provide training in: .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS Living Standard, Azure, AWS, WPF, MVVM, Prism, continuous integration, dependency injection, Node.js ...

entire ML lifecycle—from automated training pipelines to real-time inference clusters—and serve as a key software engineering contributor to our AI product stack. This is a hybrid role – three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline … applying SOLID principles to ML codebases to ensure they remain modular and maintainable ML Observability Establish and own the telemetry framework for the AI stack Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy FinOps & Cost Management Own the strategy ...

unstructured data storages. Promoting a culture of continuous improvement within the Development team by mentoring and upskilling others. Involvement in Isio’s adoption of AI, including working with custom AI integrations Working in a growth culture business within a start-up like environment, but supported by the stability and resources …/Scrum ways of working Comfortable demonstrating solutions to senior stakeholders Excellent communication and interpersonal skills, both verbal and written. Advantageous Requirements Knowledge of AI and AI development tools Solid understanding of UI/UX Experience with Tailwind CSS or other modern UI frameworks Experience with the Microsoft Ecosystem (C# ...

reports into the Head of Data Engineering. You'll be hands-on with cloud infrastructure, APIs and deployment pipelines, working mainly in GCP Vertex AI (essential) and Azure (desirable). Your focus will be enabling data scientists to deploy high-impact models reliably and at scale. You'll combine leadership … What you'll bring * 5+ years as an ML Engineer with strong Python engineering skills * Experience deploying and maintaining ML models in production (Vertex AI required) * Strong software engineering fundamentals: OOP, unit testing, TDD * Cloud experience (GCP, AWS or Azure) and IaC tools such as Terraform * Experience with Docker ...

delivers actionable insights. They build reporting products for internal and external customers. The role will drive adoption of centralized data assets (data platform, BI, AI) and ensures data and insights translate into measurable commercial impact. What you'll do Insights Design & Decision Impact Lead the design, packaging, and delivery … executive packs – in partnership with the central team provide clear standards on definitions, layouts, and visual storytelling across tools ({Powerpoint executive templates and PowerBI, AI or other). Develop board-ready and customer-ready templates and automate recurring reporting; ensure accessibility and performance across devices. Business Partnership & Enablement Serve ...

delivers actionable insights. They build reporting products for internal and external customers. The role will drive adoption of centralized data assets (data platform, BI, AI) and ensures data and insights translate into measurable commercial impact. What you'll do Insights Design & Decision Impact Lead the design, packaging, and delivery … executive packs – in partnership with the central team provide clear standards on definitions, layouts, and visual storytelling across tools ({Powerpoint executive templates and PowerBI, AI or other). Develop board-ready and customer-ready templates and automate recurring reporting; ensure accessibility and performance across devices. Business Partnership & Enablement Serve ...

drive the cloud migration waves, refine UK/EU cloud strategy, and embed modern practices—Infrastructure as Code, DevOps enablement, automation and AI-assisted operations You will be accountable for operational excellence and strategic evolution of the UK/EU infrastructure estate across cloud (Azure), on‐prem data centre, office … cloud strategy—and ensures the infrastructure function is future-ready through automation, Infrastructure as Code (IaC), DevOps enablement, and intelligent operations (AIOps/AI-driven monitoring and maintenance). The role holder is a leader first: developing a high-performing team, aligning with global peers Key Accountabilities & Responsibilities Infrastructure Operations ...

RBAC, encryption, retention, auditability) and smooth onboarding of consumers. Provide technical leadership across squads: architecture reviews, mentoring, and hands-on delivery for critical components. AI-Enabled Engineering Expectations Be well-versed in using AI-assisted development tools to accelerate delivery while maintaining strong engineering rigor (secure coding, testing, and review … discipline). Use AI tools for tasks such as code scaffolding, refactoring, test generation, documentation, and troubleshooting, with human validation and adherence to internal controls. Promote responsible adoption patterns within the team (e.g., prompt hygiene, avoiding sensitive data exposure, and ensuring outputs meet quality/security standards). Required Qualifications ...

parameters, lineage, usage context) to support scalable reuse across teams. Govern model ingestion from internal groups and external designers. Evaluate and support adoption of AI Enabled Model Workflows Evaluate emerging AI/ML capabilities for BIM workflows (automated QC, clash prioritization, generative design hints, digital twin analytics). Understand … LLMs, computer vision, and MLops can enhance model checking, metadata extraction, and design to engineering workflows. Partner with data and software teams to integrate AI capabilities into future BIM to Field and digital construction solutions. Cross Functional Technical Collaboration Work closely with solution architects, software engineering leads, Digital Design teams ...

continuous learning. You'll partner closely with product, engineering, experience design, and research leaders to ensure the successful delivery of conversational experiences across both AI-powered and rule-based systems. Your leadership will help scale the team's impact and embed conversational design as a core capability within the organization. … culture of experimentation, inclusion, and continuous learning. Design Excellence & Standards Establish and maintain design standards, frameworks, and best practices for conversational design across AI-powered and rules-based platforms. Drive the development of dialogue flow prototypes and implementation of prompt strategies to optimize outputs. Ensure all conversational experiences meet accessibility ...

RBAC, encryption, retention, auditability) and smooth onboarding of consumers. Provide technical leadership across squads: architecture reviews, mentoring, and hands-on delivery for critical components. AI-Enabled Engineering Expectations Be well-versed in using AI-assisted development tools to accelerate delivery while maintaining strong engineering rigor (secure coding, testing, and review … discipline). Use AI tools for tasks such as code scaffolding, refactoring, test generation, documentation, and troubleshooting, with human validation and adherence to internal controls. Promote responsible adoption patterns within the team (e.g., prompt hygiene, avoiding sensitive data exposure, and ensuring outputs meet quality/security standards). Required Qualifications ...

support trading, optimisation, and risk-management decisions across energy and commodities markets. As a Senior Data Engineer , you will join a highly technical Data, AI & Analytics function responsible for building the data platforms that underpin trading, quantitative research, predictive analytics, and machine-learning use cases. This is a hands … distributed processing tools AWS services such as S3, Lambda, Athena, EMR, Kinesis, and EC2 Advanced analytics, visualisation, and data-science workflows Emerging technologies across AI and machine learning Why Join? Work on data platforms that directly support trading and optimisation decisions Own data engineering solutions ...