1,826 to 1,850 of 3,582 Artificial Intelligence Jobs in London

Ind & Func AI Decision Science Manager Senior Level Full time Job Role : Data & Applied Intelligence Strategy Manager Location : London Accenture is a leading professional services company that provides a wide range of services including strategy and consulting, data and analytics, technology and operation services worldwide. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill … have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: Data & AI, the people who love using data to tell a story. We're also the world's largest team of data scientists, data engineers, and experts in machine learning and AI. … is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything-spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp More ❯

Sales Cloud, Service Cloud, Marketing Cloud, Marketing Personalization, Loyalty Management, and Commerce Cloud will be good to have. Additional Salesforce certifications are desirable, including Marketing Cloud Consultant, Integration Architect, AI Associate, or AI Specialist. Familiarity with cloud platforms such as AWS, Azure, and Google Cloud. Knowledge of data security and compliance best practices in cloud-based environments. Who we are More ❯

our journey! As a Staff Machine Learning Engineer, youll play a pivotal role in designing, scaling, and evolving the machine learning infrastructure that powers Compare the Markets most ambitious AI products. From LLM-based personalisation to real-time optimisation systems, youll help define how models are developed, deployed, and maintained in productionreliably and responsibly. This is a high-impact, hands … and engineering to lead delivery of complex ML systems. Youll also define the core MLOps capabilities for the business and establish the standards and patterns that accelerate safe, scalable AI deployment across teams. Everyone is welcome! We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an inclusive … to production with clear interfaces and robust engineering Lead cross-team technical design sessions and architectural reviews Provide mentorship, pair programming, and code reviews for other engineers across the AI function Innovation & Culture Stay ahead of developments in MLOps, LLM infrastructure, and AI engineering best practices Influence long-term strategic direction for ML tooling and delivery across the organisation Help More ❯

adept at making measurement engaging, accessible, and actionable for diverse audiences; measurement storytelling. Experience in B2B marketing analytics and marketing intelligence, or B2B consulting Experience with LLM, Gen-AI techniques Experience with CRM platform technology and data structures Experience working directly with engineering and technical teams Experience using python, SQL or similar querying language Suggested Skills Stakeholder Management SQL More ❯

scale, operational excellence, and a differentiated experience for external talent and Bain stakeholders. This role will lead the identification, prioritization, and execution of initiatives leveraging digital tools, automation, and AI to transform ETF's ways of working. The Senior Manager will act as a critical connector between ETF business needs and Bain's TS Product organization, ensuring ETF's technology … digital tool deployments, automation pilots, and platform enhancements. Coordinate cross-functional project teams, manage risks, and ensure successful execution against timelines and success criteria. 4. Champion digital enablement and AI adoption within ETF Identify opportunities to automate manual processes, apply AI/ML tools, and deploy analytics to improve efficiency and decision-making. Sponsor proofs of concept and pilot initiatives More ❯

trust approach, enforcing least-privilege access principles, and assuming breach to limit risk. Comfortable with creating and/or maintaining architectural documentation including LLD/HLDs. Knowledge of Azure AI services and tools, such as Azure Machine Learning and Azure AI Studio. The ability to lead technical projects and work with other technical teams to deliver to project closure. Strong More ❯

clients and colleagues with high-quality and reusable data. Our Data Layer Team focuses on creating scalable data solutions and advancing our data infrastructure that are the foundation of AI products that will drive informed decision-making across the company. As the Data Layer Connectors & Ingestion Delivery Owner, you will oversee data engineering practices, data connectors, integrations, while driving continuous … strategy. You will ensure reliable data infrastructure with a focus on Security, Compliance, Operational Excellence, and customer satisfaction. The platforms you lead will enable and accelerate BCG's Gen AI/AI ambitions! Among your responsibilities, you will: Technical Leadership & Strategic Roadmap Own and oversee the end-to-end engineering of data pipelines and data connectors, supporting patterns for data … ingestion, file-based, and API-based integrations. Lead the strategy and architecture for activating structured, unstructured data and proprietary data that will power AI products. Champion best practices for orchestrating multi-cloud environments (AWS, Azure, GCP) to enhance platform performance, scalability, and cost efficiency. Implement robust security, observability, monitoring frameworks, and data governance to ensure data reliability, minimize downtime, and More ❯

About the Role We are looking for a Senior Platform Engineer to join our newly-created Domain Platform Engineering sub-team within the Data & AI engineering domain. Your mission is to build technology platform enablers that accelerate value delivery with higher quality whilst reducing cognitive load for our customer-facing data & AI engineering teams. About our Data & ML team Data … AI powers our growth and innovation. We build enterprise platforms to create actionable insight enabling colleagues to make effective decisions and create proactive, automated, hyper-personalised experiences for our customers. We have a growing data and AI team in the UK and Netherlands. We function as the backbone for a variety of data-hungry consumers and platforms across the business … within Marketing, Finance, Operations and Product teams. Our AI photo services are at the heart of our consumer experience and we're expanding our footprint towards decentralised ML adoption within the business. As a team, we have come together through mergers. We are at the end of a phase of simplification of legacy infrastructure and moving into the next phase More ❯

ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What we look for: Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI Extensive hands-on industry data science experience, leveraging typical machine learning and … life-long learning, and driving business value through ML [Preferred] Experience working with Databricks & Apache Spark to process large-scale distributed datasets About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and More ❯

ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What we look for: Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI Extensive hands-on industry data science experience, leveraging typical machine learning and … Apache Spark to process large-scale distributed datasets As a client-facing role, travel may be necessary to support meetings and engagements. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and More ❯

modelsIndustrialize and optimize ML/deep learning models developed by scientists, making them scalable and cost-efficient in production Collaborate closely with scientists to integrate diverse predictors (physics-based, AI-based, hybrid) into the platform Ensure reproducibility, traceability, and performance of model pipelines across the full lifecycle Develop APIs and tools that expose predictors as scalable services to other teams … fast-moving environment where models meet production Why Join Us At Aqemia, engineers don't just build software, they help discover real drugs.You'll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production-grade tools that accelerate discovery. DeepTech Mission : Build the platform that powers AI-driven drug discovery, combining quantum-inspired physics … remote days/week Strategic Traction : Backed by $100M in funding and a $140M partnership with Sanofi Join us if you're excited to shape the future of AI-driven drug discovery, and want your code to change the course of real diseases. #J-18808-Ljbffr More ❯

global investment professionals. As a Graduate Data Support Analyst , you will help ensure the accuracy and timeliness of investment data, solve complex problems, and contribute to the integration of AI technologies into support processes. What You'll Do: Ensure data accuracy and timely updates for investment professionals Collaborate with offshore colleagues and act as a point of escalation Partner with … development teams to solve complex problems and document solutions Assist in integrating AI technologies into support workflows Use SQL, Python, GraphQL, and prompt engineering to enhance data processes Engage in proactive problem-solving and continuous improvement What We're Looking For: Basic understanding of SQL, Python, prompt engineering, and generative AI technologies Familiarity with GraphQL is a plus Strong analytical More ❯

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization More ❯

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom … platforms Used Architecture tools for modelling. Working experience on Modern data platforms which involves Cloud & related technologies Keeps track of industry trends and incorporates new concepts Advanced understanding of AI concepts , LLMS, RAG, Agentic apps Advance Understanding in Data visualization and Data pipelines. Excellent understanding of traditional and distributed computing paradigm. Experience in designing and building scalable data pipelines. Should … have excellent knowledge in data warehouse/data lake technology and business intelligence concepts Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write complex SQL queries Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies Data integration – ETL More ❯

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom … platforms Used Architecture tools for modelling. Working experience on Modern data platforms which involves Cloud & related technologies Keeps track of industry trends and incorporates new concepts Advanced understanding of AI concepts , LLMS, RAG, Agentic apps Advance Understanding in Data visualization and Data pipelines. Excellent understanding of traditional and distributed computing paradigm. Experience in designing and building scalable data pipelines. Should … have excellent knowledge in data warehouse/data lake technology and business intelligence concepts Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write complex SQL queries Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies Data integration – ETL More ❯

intelligent, human-centered technology. We're looking for a talented and experienced Senior Fullstack Developer to play a pivotal role in the development and growth of a brand-new AI recruitment platform as it prepares to enter the market this summer. This is a rare opportunity to take a product from Beta launch to full market release and beyond, shaping … product owners, UX/UI designers, and other stakeholders to translate requirements into technical solutions. Champion agile ways of working, driving continuous improvement and delivery excellence. Integrate and optimize AI tools and APIs to enhance development productivity and platform capabilities. Provide technical mentorship and leadership to development teams, fostering best practices in coding, testing, and deployment. Participate in code reviews … stack development using: TypeScript (and JavaScript frameworks such as NextJS, Node, or Tailwind) Python (including frameworks like Django, Flask, or FastAPI) PostgreSQL and relational database design, optimization, and maintenance. AI Development Tools such as Windsurf, Aider or Augment. Demonstrable experience building and scaling SaaS platforms in a production environment. Strong understanding and practical application of Agile software development methodologies. Hands More ❯

Board Intelligence is a technology and advisory firm that supercharges boards with the science of board effectiveness. We build better businesses and benefit society. Through a suite of AI-powered software tools, evaluation frameworks, and advisory services that distil twenty years of boardroom experience, we improve the efficiency of board processes and the effectiveness of boards. We work with More ❯

The BI/Data Science graduate will join our Data Analytics department to work on enhancing our Business Intelligence platform, our specialised data applications, and take active part in business process digitalisation initiatives. This is an excellent opportunity for a recent graduate to gain hands-on experience with enterprise-level Data & BI systems while contributing to high-impact projects … process automation and digitalisation. This role offers exposure to the full data lifecycle from extraction and transformation through to visualization and stakeholder presentation, with opportunities to leverage cutting-edge AI technologies. This is a 1 year FTC paying a salary of £35,000 - ideally September start. Requirements: Academic Background: Computer Science/Data Science/Mathematics Degree or similar. SQL … and best practices. Experience with relational databases and data modelling concepts. Understanding of machine learning concepts and libraries (scikit-learn, pandas). Experience with LLM frameworks & APIs (OpenAI, Mistral AI, Hugging Face, Ollama, etc ). 25 days of holiday Bonus Pension contribution Private medical, dental, and vision coverage Life assurance Critical illness cover Wellness contribution program with access to ClassPass More ❯

Business Resiliency 1 day ago Be among the first 25 applicants Join to apply for the Sr Director of Software Engineering - Cyber and Business Resiliency role at JPMorganChase Get AI-powered advice on this job and more exclusive features. Job Description Come join the Firmwide Technology Resiliency group that is part of the JPMorgan Chase Cybersecurity & Technology Controls organization. Job … Translate mathematical and statistical models (e.g. Bayesian networks, probabilistic graphical models) into performant software modules. Develop data ingestion and transformation pipelines to source data from internal systems and threat intelligence sources Lead the architecture design for modular, explainable, and extensible risk modelling systems Ensure robustness, auditability, and version control of all models and underlying code per company and regulatory … standards Build APIs and tools that enable integration with business intelligence dashboards, threat platforms, GRC systems and reporting pipelines Partner with enterprise risk and enterprise control management teams to ensure the model outputs are interpretable and actionable for executive decision-makers Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and expert applied experience. In More ❯

specific technologies are just tools for tackling problems. The Company Sightline Climate accelerates the deployment of climate tech solutions through industry leading data, analytics, and research. Sightline's subscription intelligence platform gives investors, corporates, and governments the insights they need to confidently build and finance the new climate economy. Sightline Climate also produces CTVC , the industry-leading newsletter read … our core product in November 2023 and it has gone from success to success. We are now looking to develop it further by adding even more innovative tools and AI-enabled solutions that empower Sightline clients to make informed decisions in the climate tech space. The Team Our engineering team consists of a mixture of back-end, front-end and … A Plus Experience using Django, AWS, React and dbt Experience working with Linear/Agile framework Experience using Github Actions Working understanding of climate tech sectors Experience in using AI to extract data from PDFs Application process Video call with hiring manager (20min) Short take-home exercise In-person/video pair session with team (120min) In-person/video More ❯

believe specific technologies are just tools for tackling problems. The Company Sightline Climate accelerates the deployment of climate tech solutions through industry leading data, analytics, and research. Sightlines subscription intelligence platform gives investors, corporates, and governments the insights they need to confidently build and finance the new climate economy. Sightline Climate also produces CTVC , the industry-leading newsletter read … our core product in November 2023 and it has gone from success to success. We are now looking to develop it further by adding even more innovative tools and AI-enabled solutions that empower Sightline clients to make informed decisions in the climate tech space. The Team Our engineering team consists of a mixture of back-end, front-end and … A Plus Experience using Django, AWS, React and dbt Experience working with Linear/Agile framework Experience using Github Actions Working understanding of climate tech sectors Experience in using AI to extract data from PDFs Application process Video call with hiring manager (20min) Short take-home exercise In-person/video pair session with team (120min) In-person/video More ❯

our dynamic team in London . You will play a critical role in developing and optimizing backend systems, working with modern data technologies, and contributing to high-performance and AI-enabled applications. Key Responsibilities: Develop robust, scalable applications using Python , APIs, and async processing techniques Collaborate with cross-functional teams on system architecture, design, and implementation Work with Databricks or … deployment Implement and maintain containerized solutions using Docker and CI/CD pipelines Apply MLOps practices using tools like MLFlow , Git-based versioning, and environment tracking Build and integrate AI and intelligent automation frameworks Ensure applications meet performance, reliability, and scalability requirements Required Skills & Experience: 2+ years of Python development experience with strong knowledge of APIs, data structures, and asynchronous … automation pipelines Familiarity with MLOps tooling such as MLFlow, Git version control, and environment management Desirable Skills & Interests: Experience with frameworks like LangChain , Langflow , or similar tools for building AI agents Understanding of Large Language Models (LLMs) and intelligent automation workflows Experience building high-availability, scalable systems using microservices or event-driven architecture Knowledge of orchestration tools like Apache Airflow More ❯

Salary banding: £90,000 - £110,000 dependent on experience Working pattern: 1-2 days per week in office Location: London About our Engineering Team As a business which has AI at its core, we need to have a reliable, scalable and secure real-time ML platform to deliver our product to customers. The Engineering team makes this happen. The team … contingent in London, and is made up of pragmatic, curious and collaborative problem-solvers who are passionate about working with our Data Scientists to build state of the art AI products. Our Software Engineers bring together a diverse range of expertise and backgrounds; what unites us is a desire to learn, a mastery of our discipline and strong technical prowess. … Our engineers are responsible for all aspects of the software development lifecycle. You will get the opportunity to work across our entire stack building features which deliver AI capabilities to some of the biggest names in the insurance industry. We are developing a modern real-time ML platform using technologies like Python, PyTorch, Ray, k8s (helm + flux), Terraform, Postgres More ❯

Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey … tools like GitHub Actions or Jenkins. Exposure to security frameworks (NIST, ISO 27001, SOC 2). Experience working in SaaS, multi-tenant cloud environments. Knowledge of machine learning security (AI/ML model risks, LLM security best practices). Familiarity with attack surface management and threat intelligence. Relevant certifications (e.g., Security+, SSCP, GSEC) are a plus but not required. What … at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be More ❯

Engineers. Translate experimental ML models into scalable, production-ready applications using cutting-edge AWS services. The Role Core Responsibilities: Technical Liaison - Bridge Data Science and DevOps teams, ensuring effective AI/ML solution deployment Hands-On Support - Assist data scientists with DevOps issues, Docker containers, and MLOps tooling Model Deployment - Deploy Hugging Face Transformers and ML models as secure microservices … Create documentation and mentor teams on MLOps best practices Full ML Lifecycle - Manage training, validation, versioning, deployment, monitoring, and governance API Development - Develop secure APIs using Apigee for enterprise AI functionality access Automation - Build CI/CD pipelines using Jenkins and Maven for ML project integration Essential Requirements Minimum Qualifications: Degree in Computer Science, Data Science, Mathematics, Physics, or equivalent … experience End-to-end ML delivery - From experimentation to production deployment Data science fundamentals - Data cleaning, feature engineering, model evaluation Critical Technical Skills: Production ML deployment - Demonstrated experience maintaining AI/ML models in production AWS ML services - SageMaker, Bedrock, Glue, Kendra, Lambda, ECS Fargate, Redshift Hugging Face deployment - NLP, vision, and generative models in AWS environments API development - Flask More ❯