851 to 875 of 5,126 Permanent AI Jobs

Contract AI & Data/Jr Forward Deployed Engineer | Up to £500.00 Outside IR35 | 3 months (rolling) | Hybrid Monthly (UK) A fast-growing UK-based FinTech scale-up is looking for 2x Contract AI & Data Engineers to join their financial analytics platform team. Haven't held the title yet? No problem... … been doing the work, we want to hear from you. Responsibilities: Build and maintain scalable data pipelines and AI/ML solutions Develop, test, and deploy data models and machine learning workflows Implement reporting/data solutions to ensure visibility, accuracy, and integrity Collaborate with analysts, PMs, and operational teams ...

both MongoDB (NoSQL) and Oracle (RDBMS). • Strong experience in building and consuming RESTful APIs. • GraphQL knowledge is good to have but not mandatory. AI/Conversational Platform Exposure • Good understanding of Google Dialog flow CX or similar conversational AI frameworks. • Exposure to LLM (Large Language Models), agentic architectures … machine learning fundamentals and model tailoring. • Strong experience in building and consuming RESTful APIs. • GraphQL knowledge is good to have but not mandatory. AI/Conversational Platform Exposure • Good understanding of Google Dialog flow CX or similar conversational AI frameworks. • Exposure to LLM (Large Language Models), agentic architectures, and prompt ...

Staff Machine Learning Engineer – AI/ML Information Extraction Remote (Or Hybrid If London based – 2 days) Company Overview My client is a fast-growing, product-led technology business operating within a specialist professional services sector. They provide a SaaS platform used by organisations globally to improve business development, marketing … knowledge management processes. The company has recently launched an advanced AI-driven product focused on automating complex, manual workflows and enabling users to generate high-quality outputs more efficiently using organisational data. With a distributed team across the UK and US, the business is backed by private investment ...

context**The Principal Architect - Intelligent Automation drives the strategic technology roadmap and high-level design for Intelligent Automation (Low Code, Digital Automation, Conversational AI and Agentic AI) within the global corporate domains. In addition, they will play a key role in animating the global community of Intelligent Automation practitioners … driving technological innovation in Intelligent Automation, identifying opportunities for new and advanced utilisation of the existing tools - including emerging paradigms such as Agentic AI and Vibe Coding - as well as evaluation of additional best-in-class technology capabilities from the market.As the senior technical authority within the Global Intelligent Automation ...

Machine Learning Engineer (MS Fabric focus) - Warrington (hybrid) We're working with a well-established business that's investing heavily in its data and AI capability and is now looking for a Senior Data & Machine Learning Engineer to play a key role in shaping their modern data platform. This … sell holidays Life assurance Health & wellbeing benefits Employee Assistance Programme Cycle to Work Long service awards Work with modern tech including Microsoft Fabric, Azure AI and ML tooling Key skills Strong experience with Microsoft Fabric (Data Factory, Lakehouse, OneLake, Pipelines, SQL Warehouse) Solid data engineering background using SQL, Python, PySpark ...

candidates) Also available as an inside IR35 contract at £435/day Overview Our client is a fast-growing international consultancy specialising in data, AI and advanced analytics for major financial institutions. With programmes running across the UK and Europe, they are expanding their team to support large-scale data … pipelines for analytics workflows Work with enterprise data platforms to deliver scalable analytics solutions Ensure strong data quality, governance and lineage practices Use AI-assisted tools and LLMs to accelerate analytics workflows, documentation and insight generation Required Skills Strong SQL and data modelling skills Experience building analytics datasets and semantic ...

business, and growing our team in the UK...are you our next recruit? We’re DATA 3 We’re award-winning global data + AI consultants + builders. We power our clients’ growth using data + AI. We review, select, set up + support all of their organisation’s data + … AI tools. We work with UK and global clients across all sectors. We were born in 2017, we have ambitious growth plans and we’re growing every day. We need your help to grow our business even further. What you’ll do... § Ensure our technical delivery to clients ...

Support scoping, estimation, and delivery planning; produce high-quality client-facing documentation and presentations. Collaborate with adjacent teams (e.g., Dynamics/Power Platform/AI) to integrate analytics and data capabilities into broader solutions. Stay current with Fabric capabilities and the evolving Microsoft data ecosystem, bringing innovation into client solutions. … Azure Databricks, Azure Data Lake). Familiarity with Microsoft Purview and broader governance practices. Dynamics 365 CE and FO integration and analytics. Exposure to AI/ML enablement in Microsoft ecosystem (e.g., Azure ML/AI Foundry/Azure OpenAI), particularly where analytics feeds AI-powered apps. Experience designing ...

Bronze–Silver–Gold or similar) - Azure Synapse, Databricks, or equivalent Experience with orchestration tooling, CI/CD pipelines, and version-controlled development workflows An AI-first approach to development - you already use AI tools daily to write and review code, design solutions, and solve problems, and are committed to developing … produce clear, maintainable technical documentation as a standard part of delivery Preferred Skills Experience migrating or re-platforming a data estate Experience integrating AI or LLM capabilities into data workflows or tooling Financial services or investment management background Familiarity with Power BI report development Kanban delivery methodology ...

eligible may apply for a medical or religious accommodation prior to the start of employment. Who You Are Kyndryl is seeking a visionary Agentic AI Engineer to lead the design and deployment of AI agents, software that leverages them, and data that supports them. These agents will be used primarily … intelligent agents that reason, plan, and act across complex legacy environments, enabling scalable transformation to cloud-native architectures. Key Responsibilities Design and implement agentic AI systems that automate discovery, assessment, and migration of legacy applications. Develop intelligent workflows for refactoring monolithic systems into microservices or serverless architectures. Integrate AI agents ...

their customers from digital deception. Role Specific Job Duties Architect Fraud Solutions: Partner with product & engineering to design and implement high‐performance, scalable AI/ML models to detect and prevent fraud in data‐intensive applications. Drive Innovation: Champion best practices and explore emerging technologies to enhance the fraud detection … from design and development to deployment, monitoring, and post‐mortem analysis. Collaborate Cross‐Functionally: Translate complex business requirements and research into robust, production‐ready AI solutions alongside engineers and product managers. Required Skills/Experience Bachelor’s degree in Computer Science, Software Engineering, Statistics, Mathematics, or a related quantitative field ...

leading analytical deep-dives that shape how we use data to detect fraud and validate identity. You will also leverage emerging approaches, including agentic AI and LLM-powered systems, to automate data analysis, accelerate insight generation, and scale how we evaluate identity data and detect fraud patterns. This … support analytics, fraud detection, model development, and ongoing data monitoring (e.g., using Spark, Airflow, or similar distributed systems). Leverage and build agentic AI and LLM-powered systems to automate data exploration, anomaly detection, vendor evaluation, and investigative workflows, increasing the speed and depth of insight generation. Build and optimize ...

design and deliver solutions that increase productivity, efficiency, and operational insight. Analyze existing business and operational processes to identify opportunities were automation, analytics, or AI/ML techniques can improve outcomes. Collaborate with business analysts, solution architects, and operations teams to translate business requirements into technical architectures. Troubleshoot and resolve … scalable, and maintainable. Ensure code quality, reusability, and adherence to engineering standards and best practices. Create and maintain technical, architectural, and process documentation, including AI models, data flows, and automation logic. Act as a change agent, promoting modern engineering practices, continuous improvement, and responsible AI adoption. Participate in agile development ...

provide the full range of services to support organisations on their data transformation journey. From advisory support and data strategy, to developing Data & AI solutions, right through to providing a range of managed services. We are a Microsoft Solutions Partner, holding Specialisations in AI Platform on Microsoft Azure, Analytics … Microsoft Azure, Data Warehouse Migration to Microsoft Azure and Migrate Enterprise Applications to Microsoft Azure, as well as holding Solutions Partner designations in Data & AI (Azure); Digital & App Innovation (Azure); Infrastructure (Azure) and Security. But it's not just about the badges. We are proud to be recognised ...

candidate will combine vision-setting leadership with hands-on curiosity. If your last GitHub contribution was years ago — or you’d rather talk about AI at conferences than experiment with agents in your own time — this isn’t the role for you. We’re looking for someone just as comfortable … integrations, maintaining robotic data-extraction processes, writing OCR engines, and refactoring data pipelines. At the same time, we’re beginning to invest in AI (agentic frameworks, LLMs for data extraction) and data storage innovation. Our stack is hosted on Microsoft Azure (App Services, Azure Functions, and .NET applications ...

build and P&L. Around 30 hires into Technology are planned for 2026, with a particular focus on discretionary trading tech, data, and early AI‐driven tooling. The Role – High‐Ownership Trading Tech You will be a senior, hands‐on engineer embedded with discretionary trading teams, owning key components … credit and equity derivatives in seconds. Developing a real‐time exposure dashboard with alerting that hooks into existing trading workflows. Collaborating with data and AI engineers on intelligent monitoring or research‐support tools (e.g. automated checks on model behaviour, smarter analytics surfaces). Key Responsibilities Design, build and maintain high ...

statement reflects the criteria set out in these documents by showing how your experience and skills apply to this post. We understand that using AI can be a useful and supportive tool when completing your application. However, we have also seen an increase in the over-reliance of AI tools … remove candidates individuality, and it becomes much harder to get a sense of who you are and your authentic experience. If you do use AI, it should be used to enhance your application and not to create your supporting statement in its entirety. If we suspect you have used AI ...

will help build customer focused, scalable, and innovative solutions that enable better decision making in defence. You will also be encouraged to leverage modern AI tools to accelerate high quality, sustainable development. As a Full Stack Engineer, you will: • Design, develop, automatically test and maintain full-stack web applications with … experience within secure or classified environments particularly where compliance or restricted networks are a factor. • Experience of leveraging the power of the rapidly emerging AI agents without compromising on quality. Working location: This role will be primarily based at either our Bristol or Westbury offices for approximately 1 - 2 days ...

getting it in front of customers, working closely with product to make sure what we build actually matters. Key objectives Research and develop multimodal AI technologies that improve the way people work with sound Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio … production use cases Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Responsibilities Work within the team and research engineers to solve problems for film makers & sound designers Design and maintain backend inference systems that meet the latency and quality demands ...

Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning and AI on Databricks (desirable). ...

North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting ...

systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance ...

Microsoft 365, Azure, AWS, and Google Cloud Platform. Translate technical concepts into business-aligned language for non-technical stakeholders. Advise on emerging technologies like AI and machine learning, and how these can support client objectives. Help clients define and manage IT budgets, including cost-benefit analysis and ROI evaluation ...

Microsoft 365, Azure, AWS, and Google Cloud Platform. Translate technical concepts into business-aligned language for non-technical stakeholders. Advise on emerging technologies like AI and machine learning, and how these can support client objectives. Help clients define and manage IT budgets, including cost-benefit analysis and ROI evaluation ...

Title: AI Engineer Location: London, UK Job Description 2–4 years of IT experience, ideally with exposure to AI/ML concepts. Understanding of: Generative AI and Agentic AI AI product workflows and how AI components integrate into domain-specific use cases Retrieval-Augmented Generation (RAG) fundamentals and context engineering … Hands-on or strong exposure to Python and common AI libraries (PyTorch, TensorFlow). Familiarity with: LLMs (OpenAI, Anthropic, Hugging Face, LLaMA models) Vector databases (Pinecone, Weaviate, FAISS , Qudrant) Agentic AI frameworks (exposure to LangGraph, AutoGen, CrewAI or others) Exposure to cloud AI platforms (Azure AI Foundry, AWS Bedrock/ ...