601 to 625 of 5,447 Artificial Intelligence Jobs in England

future of analytics within the business. You'll be designing and deploying ML models across areas like segmentation, customer lifetime value, and marketing attribution, with scope to explore generative AI applications. Key Skills & Experience: 3+ years in data science/ML engineering roles (retail/e-commerce sector experience is a plus) Strong Python, SQL, and data science toolkit experience More ❯

Terraform, Kubernetes, Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a high-trust, cross-functional More ❯

Terraform, Kubernetes, Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a high-trust, cross-functional More ❯

and corrective actions. Our architecture emphasizes business process alignment and compliance with cybersecurity standards including NIST SP 800-171, CMMC, ITAR . We aim to develop BNN , a generative AI model that provides detailed insights into operational and analytical processes, ensuring compliance with DFARS and related agencies. The startup's goal is to support market entry and develop technology that More ❯

Work With You will work in our McKinsey Transformation Client Capabilities Network in EMEA and will be part of our Wave Transformatics team. Our Transformatics team builds data and AI products to provide analytics insights to clients and McKinsey teams involved in transformation programs across the globe. The current team is composed of data engineers, data scientists, PMs and tech More ❯

Work With You will work in our McKinsey Transformation Client Capabilities Network in EMEA and will be part of our Wave Transformatics team. Our Transformatics team builds data and AI products to provide analytics insights to clients and McKinsey teams involved in transformation programs across the globe. The current team is composed of data engineers, data scientists, PMs and tech More ❯

understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL/NoSQL databases, and programming (Python, R, Java) Knowledge of data visualisation, DevOps principles, and ML/AI integration into data architectures Strong grasp of data governance, security, and regulatory compliance (GDPR, HIPAA, etc.) Exceptional communication and stakeholder engagement skills Bonus Points For: Experience with CI/CD More ❯

deploys world-class software solutions used across industries.As a Software Engineer at IBM, you will be part of an agile team working on cutting-edge technologies, cloud-based systems, AI integrations, and enterprise solutions. You'll contribute to projects that matter - from digital transformation for Fortune 500 companies to solving complex problems with scalable software. Job Responsibilities: Design, develop, and More ❯

machine learning, and AI. Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI. Excellent problem-solving, communication, and stakeholder management skills. Experience in applying Gen AI tools or techniques is highly desirable. Educated to degree level (2:1 or above) in a numerical discipline. What You'll Bring: A proactive, self-motivated approach to solving real More ❯

closely with Data Analysts, Network Engineering, and Digital teams, you will own our data platform, ensuring data is accurate, timely, and secure to drive reporting, automation, and develop towards AI driven decision making. Key Responsibilities • Design, develop and maintain scalable ELT/ETL pipelines that ingest data from network devices (IPDR, SNMP, OSS/BSS), CRM, finance, and IoT platforms More ❯

from ideation, analysis, prototyping, development, metrics, and monitoring. Drive end-to-end statistical analysis that have a high degree of ambiguity, scale, and complexity. Research and develop advanced Generative AI based solutions to solve diverse customer problems. BASIC QUALIFICATIONS - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/ More ❯

cross-functional teams to integrate analytics solutions into our products. Design and build data visualization tools to communicate findings to stakeholders. Continuously research and apply the latest techniques in AI and machine learning to supply chain problems. Contribute to the development of our analytics product suite, ensuring scalability and efficiency. Communicate complex data science concepts to non-technical stakeholders. Key More ❯

models. Strong statistical knowledge, especially in benchmarking techniques and data normalization. Experience translating complex model outputs into clear, actionable insights for non-technical stakeholders. Familiarity with Power BI, ethical AI practices, and model explainability tools (SHAP, LIME). A collaborative mindset and excellent communication skills-able to inspire trust and confidence with colleagues and customers alike. (Bonus) Experience in healthcare More ❯

implementing our BI strategy, deploying an iPaaS platform, and partnering on our MDM strategy. You will ensure accurate capture and translation of business requirements, contributing to solutions that enable AI-driven insights and seamless operations globally. ABOUT THE PROJECT AND TEAM You will report to the Global Head of Transformation, working closely with Project Nova leadership, Data and Integration Architects More ❯

professional, you will work closely with our business units. Our technology teams offer an environment with exciting challenges - supporting and developing legacy systems or introducing modern technologies such as AI, machine learning, and highly automated trading applications. Our Technology department, comprising around 300 employees, works largely in an agile manner using a Scrumban approach. It covers areas such as Cloud More ❯

that we are upholding our values and ethics in how we use data. Skills and Knowledge Analysis of structure, semi-structured and unstructured data Programming - SQL, Python, R, Julia AI/ML ethics Understanding of Data Governance concepts and best practice Quick understanding of business problems and requirements A willingness to learn new skills and adopt to new technologies Good More ❯

of insurance with world-class data analytics and risk assessment solutions. As a global tech leader, we empower insurers to make faster, smarter decisions through the power of advanced AI, machine learning, and cutting-edge cloud technologies. Our platforms support everything from catastrophe modeling and underwriting to fraud detection and claims optimizationhelping insurers manage complexity, reduce risk, and respond to More ❯

AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and More ❯

optical cover Enhanced Parental Leave: 20 weeks of fully paid maternity leave 4 weeks of fully paid paternity leave Contributory pension scheme Friday office lunches Access to cutting-edge AI tooling Hybrid working from our dog-friendly Shoreditch office Free gym membership via our co-working spaces Cycle-to-work scheme Regular team socials, events, and offsites More ❯

for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. As a team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture is driving these exciting More ❯

IT consulting. Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Job Description This is an exciting opportunity within technology consultancy, which offers you More ❯

monitoring of ML models. Stay updated on advancements in MLOps, LLMOps, Azure, and Databricks, identifying opportunities to improve ML capabilities. Work on pioneering projects that leverage data analytics and AI to revolutionise our business operations. Contribute to the development of robust MLOps and LLMOps frameworks that will enhance our capabilities and drive value across AXA. Play a pivotal role in More ❯

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across More ❯

needs of multiple teams, systems and products We want you to be excited by the prospect of working with large and diverse datasets using cutting-edge techniques such as AI, machine learning and deep learning. You should be passionate about high quality code and excellent user experience. Additional Information What We Offer Hybrid work model 20 days of annual leave More ❯

based approaches and technologies. Understanding of the principles of data modelling and data flows with ability to apply this to design of data solutions. Experience of supporting and enabling AI technologies. Experience implementing data flows to connect operational systems, data for analytics and BI systems. Experience documenting source-to-target mappings. Experience translating business requirements into solution design and implementation. More ❯