351 to 375 of 6,706 AI Jobs

strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies.They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to a Degree if not Masters level (computer science, electrical engineering, or a related technical subject) though you’ll still be … considered without an MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI-assisted system design, intelligent plant monitoring, and autonomous exploratory systems.We’re seeking a Data Scientist with good hands on python skills and a focus on … timelines. Candidate Requirements Experience and understanding of modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. Strong knowledge of Python programming for developing and debugging AI models. Excellent communication skills and a collaborative mindset with the ability to work effectively across teams and disciplines. Strong interest in cross-disciplinary collaboration to support research that delivers both More ❯

understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to a Degree if not Masters level (computer science, electrical engineering, or a related technical subject) though you’ll still be … considered without an MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI-assisted system design, intelligent plant monitoring, and autonomous exploratory systems. We’re seeking a Data Scientist with good hands on python skills and a focus … timelines. Candidate Requirements Experience and understanding of modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. Strong knowledge of Python programming for developing and debugging AI models. Excellent communication skills and a collaborative mindset with the ability to work effectively across teams and disciplines. Strong interest in cross-disciplinary collaboration to support research that delivers both More ❯

understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to a Degree if not Masters level (computer science, electrical engineering, or a related technical subject) though you’ll still be … considered without an MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI-assisted system design, intelligent plant monitoring, and autonomous exploratory systems. We’re seeking a Data Scientist with good hands on python skills and a focus … timelines. Candidate Requirements Experience and understanding of modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. Strong knowledge of Python programming for developing and debugging AI models. Excellent communication skills and a collaborative mindset with the ability to work effectively across teams and disciplines. Strong interest in cross-disciplinary collaboration to support research that delivers both More ❯

MSc) candidate for a 12-week internship (ideally from February 2026) to join CMD Labs – an applied science team within Microsoft Teams – to work on the next generation of AI supported meeting experiences. The intern will be fully onboarded onto our current science and production code base and be expected to investigate, propose, implement and test new algorithms and approaches … to product. The intern will also be expected to present results internally at the end of the position and write up the work for publication in a leading academic AI conference (e.g. ICML, NeurIPS, ACL, CVPR, Interspeech). You will partner with research, product and engineering teams to invent and deliver the future for Microsoft Teams, Microsoft Copilot and other … AI products. This role is based in Cambridge (United Kingdom). Our culture is inclusive and collaborative; our team members come from diverse backgrounds, are respectful to one another and achieve impact by building on each other's strengths and skills. We focus our energy on AI projects that are likely to have high impact on our products and bring More ❯

technical and professional growth. Key Responsibilities Deliver advanced analytics to assess control effectiveness and support audit delivery. Identify and apply innovative data science methods (e.g. Machine Learning, NLP, Generative AI) to enhance audit capabilities. Partner with audit teams to design, implement, and interpret analytical solutions. Promote data-driven culture through training, presentations, and innovation projects. Contribute to the development of … databases, data warehousing, and visualisation principles. Ability to explain complex technical topics to non-technical audiences. Experience with Power BI, Google Cloud, or data science methods (ML, NLP, Generative AI) desirable. Financial services experience advantageous. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates More ❯

lead Proven experience in Azure SaaS and Function App development. Proficiency in C# Proficiency in Python beneficial Strong problem-solving skills and the ability to work independently. Experience with AI services in Azure is a plus. Excellent communication and collaboration skills. Ability to adapt to changing requirements and work in a fast-paced environment. Strong research skills and a passion … for learning new technologies. Preferred Qualifications: Deep understanding of Azure serverless components and infrastructure Prior experience with AI tooling, RAG bots, AI Agents, Azure AI Studio, Azure Foundry Knowledge of DevOps practices and CI/CD pipelines. Familiarity with agile development methodologies. About BlueVoyant At BlueVoyant, we recognize that effective cyber security requires active prevention and defense across both your … Glocer, and former Government cyber officials, BlueVoyant is headquartered in New York City and has offices in Maryland, Tel Aviv, San Francisco, London, Budapest, and Latin America. BlueVoyant uses AI-assisted tools within our applicant tracking system to help identify candidates whose experience and skills best match the requirements of a role. This technology provides hiring teams with additional insights More ❯

Customer Data Architect – Associate Manager London, Manchester (or other UK location) Associate Manager (CL8) Practice: Song Data & AI We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With … design and implement scalable, secure, and high-performing customer data architectures. You will work with cross-functional teams to define data strategies, architect solutions, and enable data readiness for AI, analytics, and customer engagement platforms. This role sits within Accenture’s Data & AI practice, delivering end-to-end solutions from data strategy to core engineering. Key Responsibilities Architect modern customer … Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. Certifications in cloud platforms (e.g., Azure Data Engineer, GCP Associate Cloud Engineer). Familiarity with AI/ML applications in customer engagement and personalisation. Why Join Accenture? Work with cutting-edge technologies and global clients. Be part of a diverse, inclusive, and innovation-driven culture. Access More ❯

data, has a curious mindset, and is passionate about uncovering insights that drive meaningful change. As part of the Customer Experience team, you'll leverage analytics, machine learning, and AI-driven tools to identify trends, behaviours, and opportunities across the customer journey. You'll transform complex data into compelling insights that inform strategic decision-making and improve customer satisfaction and … to uncover customer pain points and behavioural patterns. Translate data into actionable insights that influence decisions across Finance, Operations, Sales, and Marketing. Support the testing, piloting, and scaling of AI-driven tools like sentiment analysis, predictive models, and smart feedback systems. Make insights accessible to non-technical stakeholders through clear storytelling and impactful data visualisations. Champion best practices in customer … Spanish, or German). What's on Offer Opportunities to work across multiple European locations. Flexible working arrangements and job share opportunities. A chance to work with cutting-edge AI and analytics tools. A collaborative and supportive environment where your insights directly impact customer experience. More ❯

opportunity to shape the future of developer innovation at Smarsh. You will own the strategy for a sophisticated internal platform that includes our Internal Developer Platform (IDP) , core Application & AI Services , and automated Governance & Controls . Your leadership will directly impact our ability to innovate faster, operate more efficiently, and deliver exceptional value to our customers. If you are a … leader who is passionate about building products for developers, obsessed with creating elegant platform experiences, and excited by the potential of AI to transform the engineering lifecycle, we want to talk to you. What You'll Do Champion the Vision: Define, evangelize, and drive the strategic vision and multi-year roadmap for the Smarsh Fabric as the company's core … for Fabric. Together, you will co-own the vision, strategy, and execution for the entire Fabric organization, ensuring the product roadmap and engineering capabilities are developed in lockstep. Enable AI-Powered Development: Spearhead the integration of AI/ML capabilities and GenAI tooling into the developer platform, creating an intelligent "co-pilot" experience that accelerates innovation and reduces cognitive load More ❯

global technology group in hiring a Solutions Engineer to join their Digital Solutions team. This is an exciting opportunity to design, prototype, and deliver modern digital solutions leveraging cloud, AI, VR/AR, Edge computing, and other emerging technologies to drive strategic initiatives across multiple industries. This role is ideal for a software engineering professional with a strong technical foundation … Architect and Digital Solutions team to ensure scalable, secure, and innovative solutions that meet business needs. Design and develop Proof of Concepts (POCs) and prototype solutions, leveraging cloud services, AI, VR/AR, and other emerging technologies. Work closely with development teams to deliver strategic initiatives, supporting adoption of modern software practices. Develop reusable technical assets, including reference architectures, implementation … maintainable, and secure solution architecture principles. Experience working in agile, team-based delivery environments. Excellent communication skills for engaging both technical teams and senior stakeholders. Desirable: experience with Generative AI, Microsoft Power Platform, front-end frameworks (React, Angular, Vue), edge computing, or VR/AR technologies. Ideal Fit: Passionate about leveraging emerging technologies to deliver business value. Entrepreneurial, pragmatic, and More ❯

looking for a hands-on Tech Lead to drive the next evolution of our platform. You'll lead by example — designing architecture, managing engineers and shaping how we integrate AI and large language models into our products and workflows. This is a role for someone who loves building, learning fast, and shaping technical direction. In addition to being a strong … Go, VueJS, Postgres and Python, deployed through a fully automated AWS environment (Terraform, Ansible, GitHub Actions). Alongside this, we're building the next generation of our data and AI infrastructure — exploring frameworks like Hugging Face, LangChain, LlamaIndex and agent orchestration systems. We use Cursor and Copilot to speed iteration and experimentation. We're always open to new approaches, whether … it's a different data stack, AI toolkit, or a creative way to apply LLMs in production. Responsibilities: Lead by example: design and ship high-quality, scalable systems across our frontend and microservice stack. Shape the roadmap: define architecture, set standards, and guide technical direction alongside the CTO. Drive innovation: explore AI, LLMs, and data-driven features that enhance our More ❯

apply problem-solving skills to identify workflow efficiencies, implement technology solutions to enhance our systems, products, and processes, and provide support to our clients. Our Team The Bloomberg Data AI group brings cutting-edge AI technologies into Bloomberg's Data organization, supplying deep domain expertise to the development of AI-powered products. One of our core areas focuses on Dialogue … To Own the end-to-end Annotation Lifecycle, from schema development to annotation execution, with an eye toward ML performance and product utility. Bridge the gap between finance and AI/ML by mastering domain-specific concepts that elevate communications experiences. Design and manage annotation programs for search and summarization use cases, including training data for relevance ranking, query-document … as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. 4+ years of experience working in AI/ML data roles, ideally focused on NLP, communications, or information extraction. Proven experience with annotation programs, dialogue labeling, or large-scale training/evaluation dataset development. Strong grasp of More ❯

payroll environment. Foster a culture of continuous improvement, collaboration, and accountability within the QA team. Develop and implement training programs to enhance team skills in test automation, security testing, AI/ML-driven testing, and performance testing. Identify and address skill gaps within the team and create upskilling plans to keep the team aligned with the latest QA methodologies and … edge cases that automated tests may not capture. Define a defect management process to improve tracking, resolution efficiency, and reporting of bugs, ensuring timely fixes and mitigation strategies. Automation, AI/ML-based Testing, and Process Optimization Drive test automation efforts, including UI and API test automation, utilizing appropriate tools and frameworks to support continuous payroll processing and HR system … functional, performance, and security testing to streamline QA operations and increase test coverage. Optimize existing test scripts to enhance performance, reduce flakiness, and improve execution time. Evaluate and integrate AI/ML-driven testing tools to enhance test case generation, test execution, and defect prediction. Implement AI-based analytics to predict software defects, analyze historical test data, and recommend optimizations More ❯

and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science … engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. … Working : A flexible mix of office and remote work 📈 Career Growth : Structured professional development, mentorship, and training opportunities 🛠 Modern Tech Stack : Work with the latest tools in data science, AI, and analytics 🤝 Collaborative Culture : Be part of a supportive and innovative team ✨ Additional Perks : Pension scheme, private healthcare, and wellbeing initiatives How to Apply: Please apply with your most up More ❯

and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science … engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. … Working : A flexible mix of office and remote work 📈 Career Growth : Structured professional development, mentorship, and training opportunities 🛠 Modern Tech Stack : Work with the latest tools in data science, AI, and analytics 🤝 Collaborative Culture : Be part of a supportive and innovative team ✨ Additional Perks : Pension scheme, private healthcare, and wellbeing initiatives How to Apply: Please apply with your most up More ❯

and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science … engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. … Working : A flexible mix of office and remote work 📈 Career Growth : Structured professional development, mentorship, and training opportunities 🛠 Modern Tech Stack : Work with the latest tools in data science, AI, and analytics 🤝 Collaborative Culture : Be part of a supportive and innovative team ✨ Additional Perks : Pension scheme, private healthcare, and wellbeing initiatives How to Apply: Please apply with your most up More ❯

enhances collaboration while inclusivity strengthens our community. About The Role You will join our rapidly expanding data practice and will be part of our multi-disciplined teams, building Generative AI-based solutions for clients. You'll work very closely with our customers to iterate, experiment, and prototype solutions for their business challenges. This role will require a strong consultative approach … taking them on the journey from early adoption through to scale. You'll have a solid understanding of the foundations required for successful projects across infrastructure, business, data and AI, and be an anchor of the relationship with our customers. Speaking with empathy and credibility will be key. Skills And Experience Required 1+ years of focused LLM/GenAI and … may solve business challenges; Extensive prompt engineering; Chain of thought reasoning to build up LLM based solutions; Resource Augmented Generation (RAG) including optimisation of chunking and metadata; Follow Responsible AI principles; Rapidly develop customer demonstrations to show the art of the possible with GenAI; Contribute to Ascent's Gen AI methodology and accelerators; Be a member of our Data Science More ❯

and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science … engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. … Working : A flexible mix of office and remote work 📈 Career Growth : Structured professional development, mentorship, and training opportunities 🛠 Modern Tech Stack : Work with the latest tools in data science, AI, and analytics 🤝 Collaborative Culture : Be part of a supportive and innovative team ✨ Additional Perks : Pension scheme, private healthcare, and wellbeing initiatives How to Apply: Please apply with your most up More ❯

and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science … engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. … Working : A flexible mix of office and remote work 📈 Career Growth : Structured professional development, mentorship, and training opportunities 🛠 Modern Tech Stack : Work with the latest tools in data science, AI, and analytics 🤝 Collaborative Culture : Be part of a supportive and innovative team ✨ Additional Perks : Pension scheme, private healthcare, and wellbeing initiatives How to Apply: Please apply with your most up More ❯

on our cutting-edge products? About Our Team: We are strengthening our software engineering team to modernise our existing application stack, powering one of LexisNexis Intellectual Property's flagship AI products, LexisNexis Classification. The team modernises the application with new features and functions to enrich the users' experience, as well as implementing research from our in-house data science team … new product architecture. We expect this team to work across multiple technologies around a core, including Angular, Python, C#/.Net, SQL, AWS (EKS, S3, Lambda, CDK, etc.), Applied AI/ML libraries and frameworks. About The Role: We are hiring a Software Engineering Lead to take responsibility for the work on modernising and enhancing a key product, LexisNexis Classification. … This product uses AI to read millions of patents globally and pull the relevant patents into custom categories that are relevant to the specific technology areas users define. You will be the go-to person for a small, highly skilled agile team, with ownership over the mission and your development practices and processes. Your engineering team will be based in More ❯

our people. If you want to be part of tomorrow's health today, we want to hear from you. Are you ready to lead the charge in transforming enterprise AI initiatives? As a Senior Machine Learning Operations Engineer at McKesson, you'll be at the forefront of our big bet AI projects, harnessing the power of machine learning to drive … design and review model architectures but also ensure the seamless integration and performance of these applications. If you're passionate about pushing the boundaries of what's possible with AI, this position offers a playground of opportunities. Responsibilities: End-to-End ML Engineering: Engage in a wide array of ML engineering activities, from Ops and Modeling to Data Engineering, ensuring … automation and monitoring, to ensure successful model deployments. Governance and Best Practices: Manage code to minimize vulnerabilities, govern models from a risk perspective, and adhere to Responsible and Explainable AI principles. Programming Proficiency: Utilize Python, Rust, C++ to develop high-quality, maintainable code. Qualifications: 7+ years industry experience 4+ years programming experience with Python. Rust and C++ are nice to More ❯

fault detection, revenue analytics, and predictive maintenance. Integrate SCADA, IoT devices, and security systems (CCTV, drones). Collaborate with engineers and field teams to deliver and commission systems. Apply AI, IoT, and cloud technologies to enhance performance and innovation. About You Strong software engineering background (Python, C++, JavaScript, etc.). Experience with industrial automation, IoT, or energy systems . Familiarity … tracking of generation, storage, and grid export/import metrics. o Fault Detection & Diagnostics: Automated identification, logging, and reporting of technical issues at string, inverter, or system level, with AI-assisted root-cause analysis. o Revenue Analytics: Monitoring energy yield, performance ratios, and revenue generation by site, asset, or region, with trend analysis and forecasting tools. o Maintenance & Service Scheduling … commissioning, and handover of monitoring systems on-site and remotely. · Provide technical documentation, training, and ongoing support for internal teams and clients. · Stay at the forefront of emerging technologies (AI, IoT, edge computing, drone data integration) and advise on innovation strategies for future upgrades. System Scope & Capabilities The monitoring system developed will be expected to cover the entire lifecycle and More ❯

bring new ideas to the table and be part of a team working on innovative technology, come and join us. Job Description We are currently seeking an innovative Senior AI/Machine Learning Engineer to join UnderwriteMe within the AI-Engine team. This role is pivotal in driving the creation of an innovative product set to disrupt the insurance market. … OKRs (Objectives and Key Results), fostering collaboration among developers, QAs, data scientists, and data analysts, to consistently achieve tangible outcomes aligned with OKR targets. Employing your deep understanding of AI and staying current with industry trends, you will play a pivotal role in shaping project execution by contributing to the OKR formulation process, and directly working towards those. Crafting and … dependability and accessibility. Collaborating closely with DevOps and IT teams to orchestrate the smooth transition of ML models into production environments, upholding scalability and security standards. Technical Requirements Applied AI and NLP Expertise: Proven experience in applying AI techniques to solve real-world NLP problems, with a focus on delivering scalable, production-ready solutions. Hands-on expertise in fine-tuning More ❯

Overview From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read - both at home and at work. If you're reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment … high-quality video production remains complex and challenging to scale-until now . Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether … from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. Role Overview Synthesia is building a modern, AI-powered back office. We are hiring a full-stack engineer to design and run the data layer that powers Finance ensuring data from finance systems land securely in a data More ❯

and deliver data modernisation strategies, transitioning legacy systems to scalable, cloud-native solutions. Design and implement lakehouse architectures that unify data lakes and data warehouses for advanced analytics and AI/ML workloads. Collaborate with other solution architects to ensure alignment with enterprise architecture. Act as a technical liaison between Sales, Delivery, and Client teams. Support proposal writing, solution direction … Solutions Architect and/or industry certifications such as TOGAF 9 or equivalent. Desirable Skills & Experience: Experience with data platforms like Databricks, Snowflake, Quantexa, Palantir or SAS. Exposure to AI/ML use cases and GenAI technologies. Background in Public Sector or other regulated industries Your Security Clearance To be successfully appointed to this role, it is a requirement to … breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. More ❯