301 to 325 of 10,491 Permanent AI Jobs

stage of growth. As Head of Data Science, you will take ownership of a business-critical decisioning function, working on predictive machine learning models, AI-powered solutions, and customer-facing recommendation systems that directly influence commercial performance. With profitability on the horizon and significant investment in AI across the business … impact. THE COMPANY This fast-growing fintech is transforming the customer finance journey. Operating in a highly data-driven environment, the business has embedded AI and automation across multiple functions and is recognised for its innovative approach to leveraging machine learning and emerging technologies.With a collaborative team structure ...

Data Scientist at XPO:Minimum qualifications:Bachelor's degree or equivalent related work or military experience2 year of experience in data science or applied AI, with a focus on Generative AI, Agentic AI, or LLM-powered applicationsBachelor's degree or equivalent related work or military experienceStrong communication skills with … ability to translate complex AI capabilities into clear business use cases and recommendationsExperience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projectsFamiliarity with AI techniques and machine learning algorithms, including supervised and unsupervised learningStrong communication skills ...

digital transformation. With a strong focus on leveraging data to improve operational efficiency and support strategic decision-making, they are building modern analytics and AI capabilities across the business. The environment is collaborative, hands-on, and offers the opportunity to influence how data science is applied across multiple functions. … automation. Designing and implementing scalable data models within a Snowflake data warehouse environment. Building analytical solutions and data products that support reporting, applications, and AI initiatives. Creating and maintaining Power BI data models, dashboards, and reporting solutions. Supporting the development of production-ready data science solutions through Azure DevOps ...

Stack Developer to join our team in London and help deliver scalable, secure and cloud-based applications. This role combines full-stack software engineering, AI enablement and modern cloud development. The successful candidate will have strong experience in front-end and back-end development, hands-on expertise with Azure … services using .NET/C# or PythonCreate reusable components, shared services and maintainable application architecturesDevelop and integrate solutions using Azure and Databricks servicesImplement AI-powered functionality using large language models, AI services and modern engineering frameworksDesign and support integrations with enterprise applications, databases and external APIsContribute to CI/ ...

outcomes and revenue generation. You'll be joining a collaborative team of data scientists and engineers, working across machine learning, optimisation and next-generation AI applications. The Role As a Senior Data Scientist, you'll take ownership of developing and improving production machine learning models used to support pricing … maintain production machine learning solutions. Work closely with stakeholders to understand business challenges and translate them into scalable data products. Develop and improve AI-powered solutions, including LLM and automation use cases. Drive best practices in model development, testing, monitoring and governance. Mentor colleagues and contribute to the wider technical ...

client is a leading global investment bank. JOB DESCRIPTION Join a team accelerating how AI is embedded into real business workflows across Markets, Banking and Payments. You will work hands-on with senior stakeholders to turn high-value problems into practical, scalable AI solutions. This role offers the chance … build reusable components that help teams adopt AI consistently and effectively. You will partner closely with Technology and data science teams to deliver solutions that meet enterprise standards. If you enjoy moving from prototype to production while staying close to end users, this role is for you. As a Business ...

client is a leading global investment bank. JOB DESCRIPTION Join a team accelerating how AI is embedded into real business workflows across Markets, Banking and Payments. You will work hands-on with senior stakeholders to turn high-value problems into practical, scalable AI solutions. This role offers the chance … build reusable components that help teams adopt AI consistently and effectively. You will partner closely with Technology and data science teams to deliver solutions that meet enterprise standards. If you enjoy moving from prototype to production while staying close to end users, this role is for you. As a Business ...

member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. The Fitch Group Emerging technology AI Center of excellence (COE) group is seeking a principal machine learning or AI engineer to be part of a team that will be dedicated … build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization. The position will be based out of our London or Manchester office. Specific Emerging Technology team objectives are: Gen AI/ML technology implementation with business and product owners Emerging Tech Governance function covering ...

Telco & Media, Industry and Services, Banking and Insurance, and Public Administration, helping define and develop business models enabled by new paradigms such as AI, Cloud Computing, Digital Media, and the Internet of Things. Reply's services include Consulting, System Integration, and Digital Services. Role Overview: This role focuses on designing … understanding of their business. You will work across diverse industries, translating complex domains into ontologies and knowledge graphs that connect data, systems, applications and AI solutions. From discovery and modelling through to production, you will own the end-to-end technical design, creating robust foundations for integration, governance, analytics ...

previous experience developing and deploying solutions within a highly regulated environment. Financial Services experience is strongly preferred, particularly Wealth Management, Banking or Insurance. Where AI fits The business is increasing its investment in AI, including Azure AI Foundry and wider Microsoft AI technologies. You dont need to be an AI ...

ABOUT BEAMERYWith the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery's unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity … future of work once and for all. What's ahead — and why it's an exciting time to join the team: Building agentic AI with advanced orchestration (multi-agent workflows, tool use, evaluation loops) that turns complex talent data into decisions. Training and fine-tuning our own models on unique ...

team builds and runs the platforms that produce the firm's official VaR, stress, and risk analytics, while also developing the next generation of AI-powered risk tooling. The team works in a hands-on engineering environment with close partnership across London, New York, Miami, and Bengaluru. What … ramping up on the codebase and core risk concepts, including VaR, stress, and sensitivities, to take on more responsibility over time. Help build AI-powered risk tooling, including agents, plugins, and integrations that connect large language models to risk data and platforms Write clean, well-tested Java and Python code ...

Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive … Fitch? Visit: https://careers.fitch.group/content/Technology-and-Data/?locale=en_US Staff Machine Learning Engineer The Fitch Group’s AI Implementation Team is seeking a Staff Machine Learning Engineer with 8+ years of experience to lead the design and delivery of production AI/ ...

us." – Julie Sweet, Accenture CEOAs a team: We have an exciting opportunity for a Data Engineer Manager to join our Data & AI practice. We deliver scalable, business-critical and end-to-end data solutions for our clients - from data strategy/governance to Core Engineering, enabling them to transform … Architecture Practice at Accenture's mission is to define and own Data Architecture vision for our clients, providing architecture enablers for innovative data and AI capabilities driving multiplier value for the business. We design and architect modern data platforms and automate cloud data migration to help clients scale AI ...

About Scale AIScale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role OverviewAs a Forward Deployed AI … Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption ...

design, analytics, risk, security, operations, finance, and business teams to explore product concepts, prototypes, APIs, platform capabilities, roadmap tradeoffs, and implementation considerations. Evaluate how AI or automation could improve a customer journey, colleague experience, internal product, analytics practice, documentation workflow, or team process while applying responsible AI and human … time start date. Students must have a graduation date between December 2026 and June 2027.Demonstrated interest in technology, product management, digital products, customer experience, AI-enabled products, data-informed decision-making, or enterprise platform concepts. Strong analytical and problem-solving skills with the ability to interpret data, evaluate information, identify ...

design, analytics, risk, security, operations, finance, and business teams to explore product concepts, prototypes, APIs, platform capabilities, roadmap tradeoffs, and implementation considerations. Evaluate how AI or automation could improve a customer journey, colleague experience, internal product, analytics practice, documentation workflow, or team process while applying responsible AI and human … time start date. Students must have a graduation date between December 2026 and June 2027.Demonstrated interest in technology, product management, digital products, customer experience, AI-enabled products, data-informed decision-making, or enterprise platform concepts. Strong analytical and problem-solving skills with the ability to interpret data, evaluate information, identify ...

Senior Business Development, EMEA GTM Surge AccelerationAre you interested in joining our EMEA GTM Surge Acceleration team to drive transformational Generative AI adoption for our most strategic enterprise customers? We are looking for a seasoned Senior Business Development lead with experience driving AI and cloud adoption across priority industries, creating … complex accounts. You will be the trusted advisor helping C-suite leaders, you will live at the intersection of industry expertise, executive advisory, and AI-powered business transformation. You'll join a high-impact, lean team of senior industry-specialized advisors who combine deep sector knowledge with commercial acumen ...

defined data science use cases from start to finish: problem framing, exploratory analysis, modelling, validation, implementation and monitoring Apply statistical modelling, machine learning and AI techniques to operational challenges using Python and SQL Build and evaluate predictive, forecasting, classification, optimisation or anomaly-detection models as appropriate Investigate operational performance across … shape the Operations Data Science roadmap by identifying and delivering high-value opportunities Work to established standards for data quality, model governance and responsible AI, with reproducible work and a clear audit trail What you’ll need Professional experience in a data science role, applying statistical or machine learning techniques ...

data, information, and systems to achieve their business objectives. At Lam Research, we are building the next generation of intelligent IT operations through Agentic AI, platform engineering, and autonomous service management. Aufgaben As the Principal Agentic Architect, you will define the architecture that enables AI agents to reason, automate … operate at enterprise scale while ensuring security, governance, reliability, and observability remain foundational. You will establish the long-term vision for how AI agents, human operators, and digital platforms work together to create a highly automated, resilient, and self-improving IT ecosystem. Your work will directly influence how Lam scales ...

work and live. It is personal to all of us. Julie Sweet, our CEO As a team: Working across industry groups, our Data & AI team combines software engineering, AI and industry expertise to design and deliver enterprise-grade solutions. We are expanding our Anthropic talent pool to build Claude-powered … applications, agentic solutions and AI-enabled software delivery capabilities. You'll work on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level. ...

technology capabilities for our customers and colleagues. To be successful as a Forward Deployment Engineer, you should have experience with: Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face … financial environments including one or more of the following: investment banking, risk, compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. ...

which we work and live. It is personal to all of us." – Julie Sweet, Accenture CEOAs a team: Working across industry groups, our Data & AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions … innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level. You'll learn, grow and advance in an innovative culture that thrives ...

technology capabilities for our customers and colleagues. To be successful as a Forward Deployment Engineer, you should have experience with: Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face … financial environments including one or more of the following: investment banking, risk, compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. ...

operations, customer engagement and business growth. This is a hands-on technical leadership role combining software architecture, full-stack development, cloud infrastructure and emerging AI technologies. You'll help define the architecture of web applications, automated document generation systems and cloud-based platforms, making key technical decisions from initial design … using Terraform, Docker and modern CI/CD pipelines. Evaluate new technologies through proof-of-concepts and make informed architectural recommendations. Explore and implement AI-powered capabilities, including LLM integrations, agent frameworks and tool-augmented workflows. Optimise application performance, reliability, security and maintainability across high-volume data environments. Work closely ...