801 to 825 of 4,841 Artificial Intelligence Jobs

of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled … accessing data (Pathogen data catalogue, Quality dashboards, Management information reporting). Support innovation efforts to explore the application of new technologies such as vector databases to support search and AI use cases. Design, develop, and maintain highly performant, scalable, and secure backend APIs using appropriate technologies to support the full stack platform tools (Python, NodeJS). Implement and manage data … Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact Terms of Appointment: You must More ❯

leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As a Summer Associate within the MLCOE, you will apply … senior leaders and more. Your project will have direct impact on JPMorgan's businesses, will be integrated into our product pipelines, or be part of published research in top AI/ML conferences. Full-time employment offers may be extended upon successful completion of the program within our hybrid work model. Job responsibilities Research and explore new machine learning methods More ❯

products are built effectively, on time and to budget, setting high standards to ensure products meet user needs. The team will also be responsible for artificial intelligence (AI) and robotic process automation capabilities. This role will lead, monitor, optimise and continuously improve the delivery of software components so that the Council can provide simple user experiences and achieve More ❯

role will be responsible to the Principal Specialist Engineer SRE and is part of the High Performance Computing, Site Reliability Engineering , Artificial intelligence (HPC/SRE/AI) & research computing unit whose remit is to: Architect, develop & manage multi-cloud HPC platforms and on-premise infrastructure Ensure services are highly available, scalable and resilient Managing performance, capability and … capacity planning Support UKHSA's AI requirements This role attracts a Market Pay Supplement of up to £5,000. Main duties of the job Ensure services are stable, scalable, performant and automated. Respond to incidents, troubleshooting issues, and restoring services as quickly as possible. Prioritise operational service improvements to meet or increase SLO, minimising downtime. Ensure that effective monitoring/ More ❯

Developer (Python, Java, ML) JOB LOCATION: St. Petersburgh, FL (Hybrid) WAGE RANGE : $80-90/hr. JOB NUMBER: JOB DESCRIPTION: Our Client is pioneering a new class of agentic AI systems-intelligent, adaptive platforms that continuously learn from firm knowledge and act responsibly to enhance decision-making and client outcomes. These systems will enable real-time knowledge orchestration and insight … generation across the enterprise, amplifying the collective intelligence of our advisors, associates, and business units. As part of the Agentic AI Data Science team, you will architect and deliver scalable, secure, and high-performance agentic solutions using and extending frameworks such as Strands, CrewAI, LangGraph, Agent Core, and related technologies. You will help design the foundational infrastructure that allows … engineering, data, and governance teams to ensure every solution balances speed, integrity, and long-term impact. Essential Duties and Responsibilities - Architect and Build Agentic Systems: Design and implement agentic AI architectures capable of reasoning, planning, and self-adaptation within firm-approved security and compliance boundaries. - Leverage and Extend Frameworks: Utilize and enhance frameworks such as Strands, CrewAI, LangGraph, and Agent More ❯

Role: LLMOps Engineer Location: Remote (UK or US-based) Type: Full-time, permanent Compensation: Competitive salary + equity available About Veridox: Veridox is an AI-driven fraud detection platform purpose-built for insurers. We combine document analysis with contextual intelligence to output detailed risk analysis. We have a high focus on trust, accuracy and explainability. As part of our … growing team, you’ll play a key role in scaling the technical vision that powers our platform. Role Summary: We are developing a sophisticated AI engine that goes far beyond simple chatbots, utilizing a multi-step, semi-agentic architecture with consecutive LLM calls, complex retrieval pipelines, and recursive summarization logic. As an LLMOps Engineer , you will bridge the gap between … experimental AI logic and robust, production-grade systems. You will actively engineer the pipelines that drive our models, own the evaluation infrastructure, architect retrieval optimization layers, and ensure our system is grounded in statistical rigor. If you are passionate about Python, data validity, and defining how agentic systems are measured and optimized at scale, this is the role for you. More ❯

Lloyd's List Intelligence delivers the trusted maritime data, analytics, and insight that keeps global trade moving. Powered by 3,000+ intelligence sources, proprietary AIS data, and a global network of analysts, we provide real-time visibility into the world's fleets, trade flows, and risks. By combining advanced analytics, AI, and human expertise, our intelligence helps organisations across shipping, finance, commodities, insurance, legal, and government sectors make confident decisions— reducing risk exposure, optimising operations, and identifying commercial opportunities. With … focused business with smart and committed people, who work in a collaborative and flexible environment. We continue to drive multi-million-pound investment into our products to build advanced, AI driven analytics solutions, leveraging machine learning and high-capacity data processing capabilities. Continual investment delivers high growth opportunities in specific markets and building an in-depth knowledge of our customers More ❯

leading telecommunications companies. Our mission is to restore trust in voice communication by building a network-native intelligence layer to combat the global epidemic of voice fraud and AI-driven scams. This is a rare opportunity to be a foundational hire, shaping the future of a product designed to protect hundreds of millions of users. We are building two … core products: the Telco-Verified Security Shield (our primary, pre-call fraud detection) and the Personal Welcome Manager (our premium, AI-powered call screening experience). As the Senior Android Engineer for the Welcome Manager, you are the User-Facing Owner of our AI innovation showcase. This isn't just another UI/UX role; you will be the primary … rapid daily iteration to translate high-fidelity, interactive prototypes into pixel-perfect, production-ready code. ? Real-Time Data Streaming: Engineer the high-performance live transcript view, which displays the AI-screened conversation as the phone is ringing . This involves consuming real-time streaming text data from our backend AI orchestration layer via WebSockets. ? Mastering Perceived Performance: Implement the critical More ❯

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. … diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future Why Join Us? At Cohere, we're not building AI for novelty—we're solving real, hard problems for enterprise customers. Join us if you're excited about working at the intersection of frontier AI and practical impact. We are … looking for a Machine Learning Manager to help lead our Applied ML team in building and delivering cutting-edge AI solutions tailored for enterprise customers. This is a high-impact leadership role that combines strategic direction, technical oversight, and customer collaboration. You'll manage a world-class team of ML engineers focused on building scalable, production-grade systems—working across More ❯

See yourself at Dataminr As a Senior Product Manager, Cybersecurity, you'll lead the development of cutting-edge, AI-powered cybersecurity products at Dataminr. In this role you'll be on the front lines, defining and delivering revolutionary, AI-powered products that solve the most critical security challenges. You'll work with world-class engineers and data scientists to turn … shaping product strategy as they are digging into the latest LLMs for threat detection. This remote position is open to candidates who are located in the UK or Ireland. AI Innovation at Dataminr Working at Dataminr you'll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers … critical events around the world as they unfold. Regenerative AI : our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here. Agentic AI: we recently launched our Agentic AI capability, what we're calling our Intel Agents, that autonomously generates critical context for our clients on More ❯

duties including: Developing data initiatives in line with wider business strategy Engage with senior business leaders and technology management to design a Target Data Operating Model Develop the firms AI/NLP strategy, roadmap and capability utilising emerging data science approaches where applicable Optimise existing technology to support/develop the ongoing data architecture roadmap in relation to business operations … inc SQL, ADF, PowerBI etc Management and leadership of multi-disciplinary teams within data – Data Science, Data Analysis, Engineering/ETL, Data Visualisation Experience of developing and, critically, delivering AI/NLP/ML and predictive analytics capability within commercial environments. Experience of ensuring that all data-related activities comply with regulatory industry standards An ability to influence across all … inhouse/clientside environments (experience previously in consulting would be valuable in addition to this inhouse experience). Excellent opportunity to develop data strategy combining advanced analytics with business intelligence, and lead the enhancement of enterprise-wide data solutions across a global organisation. More ❯

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who … user interface, from dynamic planning templates and analytical grids to pixel-perfect reporting and interactive dashboards. We are looking for a leader with a deep background in the Business Intelligence and enterprise reporting space. If you have experience with industry-leading platforms like Microsoft Power BI and the broader Fabric ecosystem, or similar enterprise-grade solutions from SAP, Oracle … a talented team of Product Managers, fostering a culture of innovation, customer-centricity, and executional excellence. Collaborate Across the Product Landscape: Partner with your peers in our Modeling and AI teams to deliver a cohesive and powerful platform that leverages the best of Anaplan's capabilities. Own the Roadmap: Drive the product roadmap from conception to launch, working closely with More ❯

technical decision-making, balancing the needs of the business with technical feasibility and performance. • Set and own the engineering roadmap in collaboration with the CEO. • Lead on embedding an AI-first approach to development and user features. Hands-on building: • Understand how to use your time most effectively and get stuck into building features and adding value to our product … both software and machine learning solutions, ensuring scalability, maintainability, and performance. • Continuously evaluate new tools, technologies, and processes to improve team efficiency and product quality. • Set best practices for AI and agentic tooling and integrations QUALIFICATIONS & EXPERIENCE Essential: Expertise in Typescript Expertise with NodeJS and ReactJS Experience managing small engineering teams (currently 4 people) Experience with Python Expertise with a … cloud service provider like GCP Experience in early-stage, high-growth startup environments Experience growing lean engineering teams (from 4 to 10 engineers) Experience building AI (LLM)-integrated software Desirable: Previous founding (or first few hires) experience Experience facilitating agile SCRUM methodology with sprints Experience managing and growing data science and machine learning teams Experience or interest in the creator More ❯

either by mapping the data flow in the design phase or to communicating insights during the operate phase Desirable: Skywise knowledge Coding - Python, JavaScript, Apps Script, Robotic Processing Automation Artificial Intelligence Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is More ❯

CRM, Paid Media platforms, and our website. Translate complex business questions and user needs into clear, actionable requirements and user stories for the data engineering, data science, and business intelligence teams. Manage the entire data product lifecycle-from ideation and discovery to development, launch, and continuous improvement. Define and monitor success metrics for your data products, demonstrating their value … both technical and non technical audiences. Demonstrated experience guiding business users toward optimal approaches for delivering information (discerning when to use an operational systems report, a BI report, an AI chatbot, etc.). Preferred Qualifications Hands on experience with core systems in the sales and marketing technology stack (e.g., Salesforce CRM, Marketo, HubSpot). Proficiency in SQL for data exploration More ❯

Description About us Xiatech is the pioneer of Xfuze, the world's first AI-powered composable Integration, Data Management, Analytics and Orchestration Platform that innovatively connects systems, creates a single view of data and delivers actionable insights in one cloud-native, SaaS solution. Business, technology and data teams use Xfuze to shorten time-to-insights, accelerate digital transformation, and extend … quality dashboards. Pipelines & Architecture - Design and configure data pipelines, warehouse/lake tables, and views using Databricks, other tooling, and the medallion architecture. Data Lineage Machine Learning Models Business Intelligence Dashboards - Create, extend, and configure Power BI dashboards leveraging Xfuze data layers. Testing & Quality Assurance - Conduct rigorous testing and validation of solutions. Business Process Analysis - Collaborate with clients to More ❯

to release the IP back into the ecosystems and develop products that have far reaching impacts beyond motorsports. Our mission is to redefine motorsport performance by integrating cutting-edge AI technologies into vehicle dynamics, race strategies, and driver safety systems. The Opportunity: We are seeking a passionate and skilled AI Engineer to join the small yet growing, dedicated and talented … solutions to enhance vehicle performance, optimize race strategies, and advance driver safety in the high-speed world of motorsports. The ideal candidate will have a strong background in AI and machine learning, with a keen interest in applying these technologies to revolutionize racing. Role Responsibilities: Develop and implement AI models to analyse real-time and historical race data, improving … vehicle performance and strategic decision-making. Collaborate with engineering teams to integrate AI-driven solutions into vehicle design and race operations. Utilize machine learning algorithms to predict race outcomes, optimize pit stop strategies, and enhance driver performance. Stay abreast of the latest advancements in AI and motorsport technologies, applying innovative solutions to maintain Lola's competitive edge. Create and maintain More ❯

Machine Learning Engineer - Canary Wharf - 75k - Hybrid A leading organisation is expanding its AI capability and is looking for a Machine Learning Engineer to help build and scale next-generation NLP and Gen AI solutions. This role sits at the heart of an established data function, working on real production workloads rather than prototypes. You'll play a key role … in shaping how intelligent automation, LLMs and ML-driven services are designed, deployed and continuously improved. What you'll be working on * Designing and delivering Gen AI and LLM-driven applications* Building and maintaining machine learning pipelines and data workflows* Developing cloud-native (serverless) ML components within a distributed engineering team* Improving existing ML systems and identifying opportunities for optimisation … and shaping a healthy product backlog What you'll need to bring * Strong hands-on Python skills and solid grounding in algorithms and software engineering* Experience designing ML/AI solutions and working with common architecture patterns* Background in serverless data/ML pipelines (Azure preferred, AWS/GCP welcome)* Proficiency in SQL and NoSQL data stores* Broad understanding of More ❯

months Pay: £888 per day Inside IR35 Location: Kings Cross London 2-3 days per week Our client see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer … side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled machine learning engineer to help us make this vision a reality. Competitive candidates will have a track record of writing … and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in More ❯

technologies. You will assist with setting the Standards and Governance, while ensuring the solutions are scalable, secure, and compliant. Key Responsibilities: Lead the technical design and delivery of agentic AI solutions using Copilot Studio, Power Platform, and Azure AI Foundry. Architect and implement the Declarative Agentic Framework, embedding governance, controls, and compliance best practices. Develop and validate pilot M365 agents … on integration patterns (MCP, A2A), security, and data handling. Engage with senior stakeholders to gather requirements, present solutions, and drive adoption. Stay current with Microsoft Copilot, Power Platform, and AI advancements; recommend adoption of new features. Ensure all solutions align with their compliance, governance, and risk management requirements. Required Skills & Experience Proven experience leading technical delivery of AI/automation … solutions using Microsoft Copilot Studio and Power Platform. Hands-on expertise in Python for automation, integration, or AI/ML tasks. Strong understanding of MCP (Microsoft Cloud Platform), A2A (Application-to-Application) integration, and Azure AI Foundry. Track record of embedding controls, governance, and compliance in technical solutions. Experience in agile delivery, technical leadership, and mentoring. Excellent communication skills; able More ❯

technologies. You will assist with setting the Standards and Governance, while ensuring the solutions are scalable, secure, and compliant. Key Responsibilities: Lead the technical design and delivery of agentic AI solutions using Copilot Studio, Power Platform, and Azure AI Foundry. Architect and implement the Declarative Agentic Framework, embedding governance, controls, and compliance best practices. Develop and validate pilot M365 agents … on integration patterns (MCP, A2A), security, and data handling. Engage with senior stakeholders to gather requirements, present solutions, and drive adoption. Stay current with Microsoft Copilot, Power Platform, and AI advancements; recommend adoption of new features. Ensure all solutions align with their compliance, governance, and risk management requirements. Required Skills & Experience Proven experience leading technical delivery of AI/automation … solutions using Microsoft Copilot Studio and Power Platform. Hands-on expertise in Python for automation, integration, or AI/ML tasks. Strong understanding of MCP (Microsoft Cloud Platform), A2A (Application-to-Application) integration, and Azure AI Foundry. Track record of embedding controls, governance, and compliance in technical solutions. Experience in agile delivery, technical leadership, and mentoring. Excellent communication skills; able More ❯

months) Duration: 12-Month Contract About the Role We're looking for a Lead Data Engineer to build and optimize cloud-based data pipelines supporting large-scale AI and analytics initiatives. You'll lead the design and implementation of data integration solutions using Ab Initio and AWS services, helping modernize how enterprise data is moved, transformed, and leveraged for AI … applications. What You'll Do Design, develop, and maintain ETL/ELT data pipelines using Ab Initio. Move structured and unstructured data from on-prem to AWS cloud for AI and analytics workloads. Work with AWS services such as S3, Athena, Kendra, and Aurora to ensure scalable data storage and access. Collaborate with architects, data scientists, and developers to deliver …/NoSQL databases. Programming skills in SQL, Python, or similar languages. Excellent communication and problem-solving skills with the ability to collaborate across functions. Nice to Have Experience supporting AI/ML or data-driven applications. Familiarity with data lake, data warehouse, and big data technologies. AWS certifications or cloud data engineering credentials. Ref: (ALTA IT More ❯

We’re seeking a Lead Data Engineer to design and deliver scalable data and AI solutions across internal and client projects. You’ll own the full data lifecycle — from ingestion and processing to deployment and monitoring of machine learning models — while leading a small, high-performing team. What You’ll Do Build and maintain data pipelines and cloud infrastructure (AWS …/GCP). Develop AI-driven applications including LLM tools, RAG pipelines, and automation solutions. Lead on client communication , project delivery, and stakeholder alignment. Collaborate with Data Science and Analytics teams to improve data access, automation, and governance. Drive innovation through proofs-of-concept , model monitoring , and adoption of emerging AI tech. What We’re Looking For 5+ years in More ❯

Manage and optimize NVIDIA software stack components such as CUDA, cuDNN, TensorRT, NCCL, and NGC containers. - Monitor system performance, troubleshoot hardware/software issues, and ensure high availability of AI infrastructure. - Collaborate with DevOps and AI teams to support containerized workflows (Docker, Kubernetes) and distributed training environments. - Implement security best practices and ensure compliance with internal and external standards. - Lead … Skills: - 5+ years of experience in server administration, with at least 3 years focused on NVIDIA GPU-based systems. - Deep understanding of Linux system administration, especially in HPC or AI environments. - Hands-on experience with NVIDIA GPU drivers, CUDA toolkit, and performance tuning. - Familiarity with Slurm, Kubernetes, or other job scheduling and orchestration tools. - Experience with monitoring tools (e.g., Prometheus … skills (Bash, Python, etc.). - Excellent problem-solving and communication skills. (Desired) - NVIDIA Certified Professional or similar credentials. - Experience with multi-GPU and multi-node training setups. - Familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow) and their GPU dependencies. - Exposure to cloud-based GPU infrastructure (AWS, Azure, GCP). More ❯

Technical Project Manager to join a scaling startup in the Education sector Salary up to £60k , depending on experience Fully remote role (UK-based preferred) Tech environment: Data Engineering | AI | Python | GCP | Agile | Jira If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan - WHO WE ARE: We're … an EdTech startup using AI and data-driven technology to transform how students learn and educators teach. Our intelligent learning platform empowers users through personalised insights, automating complex processes and enabling smarter decision-making. As we continue to scale, we're strengthening our technical delivery capability and looking for an organised, tech-savvy Technical Project Manager to help keep our … engineering efforts running smoothly. WHAT YOU WILL BE DOING: Coordinate and track technical projects across data, engineering, and AI teams. Facilitate Agile delivery - managing sprint planning, daily stand-ups, retrospectives, and backlog prioritisation. Act as a bridge between engineering and product , ensuring goals are aligned and progress is transparent. Monitor project timelines, risks, and dependencies , proactively resolving blockers to delivery. More ❯