301 to 325 of 4,831 Artificial Intelligence Jobs in England

across the business. THE COMPANY A major player in the media sector, this company is investing heavily in its data capabilities to support everything from real-time analytics to AI-powered content discovery. The environment is collaborative, fast-moving, and focused on innovation. With strong engineering foundations already in place, they're looking for a contractor to accelerate delivery of … from raw ingestion to curated layers powering LLMs and advanced analytics.Your responsibilities will include: Building and maintaining production-grade ETL/ELT workflows with DBT and Airflow Collaborating with AI/ML teams to support data readiness for experimentation and inference Writing clean, modular SQL and Python code for use in Databricks Contributing to architectural decisions around pipeline scalability and More ❯

Bristol As a generative AI-focused Data Scientist specialising in Natural Language Processing (NLP), you will drive innovation by designing and enhancing cutting-edge AI algorithms tailored for our diverse internal customer. Your primary mission is to empower our teams with maintainable and robust NLP solutions, fostering a data-driven culture throughout the organization. Salary : Circa £50,000 depending on … complexity against business needs, ensuring durability and responsiveness. Collaborate with internal clients to understand and deliver on their unique data challenges. Stay abreast of the latest advancements in generative AI and NLP, guiding our technology strategy. Ensure smooth data flow through various exchange and processing techniques (ETL, ESB, API). Lead the way in delivering Agile methodologies for successful and More ❯

users and with future contests, the possibilities of customer growth are endless. Role Overview OneFootball can leapfrog to the next phase of growth by state-of-the-art Generative AI applications. We are seeking a strategic and outcome-oriented VP of Engineering to provide strategic vision, leadership, and accountability for OneFootball and to lead and scale our global engineering organization … our flexible approach to hire the best talent from anywhere in the world to work in our hubs. This is a once in a lifetime opportunity to apply Generative AI and state of the art deep learning approaches to content generation, recommendations and community building. You will lead a team of Engineering Directors and Managers, empowering them to drive high … Computer Science, Engineering, or related field. Deep Learning modelling expertise is highly preferred. Experience in agile, DevOps, and modern software development methodologies. Familiarity with data analytics, machine learning, or AI technologies. Prior experience in a startup or high-growth technology company. Prior experience in the sports, media, or digital advertising ecosystem would be a big plus. Why join OneFootball Competitive More ❯

enterprise technology with CFO priorities, driving financial transformation through architecture. You design and govern modern finance platforms-covering GL, AP/AR, Consolidation, Tax, Treasury, FP&A, Risk, and AI forecasting-ensuring compliance, cost optimization, and data-driven decision-making. Key Responsibilities Finance Systems Strategy (70%) Define target architectures for core finance functions (ERP, EPM, Treasury). Lead ERP/… experience. 8+ years in strategy, business analysis, or EA, with 5+ years in finance systems. Proven expertise with finance operating models and KPIs (EBITDA, NPV, DSO). Experience with AI/ML in finance (e.g., anomaly detection, predictive AR). Skills & Tools Deep knowledge of SaaS, PaaS, microservices, data analytics, and EA frameworks. Familiarity with IT governance, DevOps, agile methodologies More ❯

SeeChange is a dynamic startup revolutionizing Vision AI technology. With a team boasting over 436 years of combined expertise and €45 million in platform investment, they've secured 15 patents (and counting). Their mission is to empower people through technology by integrating Vision AI into existing systems, enabling customers to see what's important and change outcomes. Reporting to 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 ❯

Mapp Digital is entering a thrilling new chapter with experienced and dynamic leadership at the helm. Our recent acquisition of Dressipi, a leader in AI-driven fashion retail personalization, marks a bold step forward in expanding our solutions for the fashion and retail sector. This is the perfect time to join a company that is transforming the way brands engage … if you are humble and curious, open to learning and adapting opinions based on new facts. We are looking for someone who intuitively understands what makes software "good", embraces AI and recognizes the opportunities created by new technologies, thrives in an async-first (remote) work environment, and enjoys solving complex technical problems. If this sounds like you, we encourage you More ❯

Learning. Specifically, we are looking for expertise in Natural Language Processing, Large Language Models, Information Retrieval, and Recommendation Systems with a good understanding of techniques like Differential Privacy, Responsible AI and related areas. - High proficiency in deploying machine learning applications at scale in real production environments and proven track record of successfully shipping applied research to production is a must … OR a related field. - Proven track record in training large language models and post-training large language models, using reinforcement learning or similar techniques - First-hand experience building agentic AI models using deep learning Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender More ❯

our solutions , managing the project timelines and resources. Collaborate with cross-functional teams to ensure project milestones are met. Ensure all appropriate reporting is in place. Leverage Microsoft's AI-driven capabilities such asCopilot, Azure AI, and machine learning capabilitiesto enhance customer experience, business processes and decision-making. Collaborate across our business sharing knowledge within the Accenture ecosystem to improve … or Power Platform preferred but not essential Set yourself apart: Microsoft certifications in Dynamics 365, Azure or Power Platform Strong grasp of customer engagement platforms, CRM, CaaS, Chat or AI Experience implementing Dynamics 365 for Service at a large organisation Demonstrated ability to assess the impact of transformations on operating models. What's in it for you: Our Total Rewards More ❯

our solutions , managing the project timelines and resources. Collaborate with cross-functional teams to ensure project milestones are met. Ensure all appropriate reporting is in place. Leverage Microsoft's AI-driven capabilities such asCopilot, Azure AI, and machine learning capabilitiesto enhance customer experience, business processes and decision-making. Collaborate across our business sharing knowledge within the Accenture ecosystem to improve … or Power Platform preferred but not essential Set yourself apart: Microsoft certifications in Dynamics 365, Azure or Power Platform Strong grasp of customer engagement platforms, CRM, CaaS, Chat or AI Experience implementing Dynamics 365 for Service at a large organisation Demonstrated ability to assess the impact of transformations on operating models. What's in it for you: Our Total Rewards More ❯

teams to deliver secure, scalable, and compliant solutions Creating and tuning DLP/Cyber policies for endpoints, email, cloud apps, and network traffic Work with other data professionals and AI engineers to understand business needs and develop effective AI solutions WHAT WE'RE LOOKING FOR We're committed to building a diverse and inclusive team, and we welcome applicants from More ❯

Entangle is the essential infrastructure needed to build the Infinite Web3. As the decentralized digital highway connecting blockchains, data, AI, and real-world applications, it empowers developers to build, scale, and automate the technologies shaping the future of Web3-including AI, robotics, Real World Assets (RWA), and beyond. By providing the essential tools to unify decentralized ecosystems, Entangle is the More ❯

around what's working, what's not, and what to test next. Translate raw data into board-level insights - clear, concise, commercially relevant, and rooted in rigorous analysis. Leverage AI/ML tools (e.g. LLMs, RAG, clustering, regression) to build smarter internal tools and identify untapped growth levers. Design, implement, and interpret A/B tests and experiments that directly … skills, including production-grade pipelines, scripting, and automation. Comfortable using BI tools such as Tableau, PowerBI, Looker, or Lightdash, and running analysis in statistical packages. Familiarity with LLMs and AI-powered tools to support insight generation, automation, and experimentation. Proven track record of influencing senior stakeholders with data storytelling and commercial acumen Deep understanding of marketplace KPIs: CAC, LTV, take More ❯

organisation unlock the full potential of its people through smarter coordination of workplaces, schedules, and teams. From intelligent space management and real-time workplace analytics , to seamless team coordination , AI assistants , and meaningful workplace events , Kadence helps companies create environments where work flows and people thrive. Backed by world class investors and trusted by over 500 organisations, Kadence is growing … DevOps: AWS (20+ services), Kubernetes (EKS), Docker, Infrastructure as Code(CloudFormation, Terraform), CI/CD (Jenkins,GitHub Actions), Observability(AWS, Grafana) Development tools: GitHub, Jira, Notion, ChatGPT,Gemini,LangChain, AI-native IDE's (Cursor, JetBrains), LLM-powered internal tools. WHAT WE OFFER YOU A front-row seat in a fast scaling, early stage startup. Working on cutting edge problems withbrand More ❯

yearly Employer : GE Aerospace Job Description Summary The Data Scientist will work individually or as part of a team to develop advanced analytics, ML and AI solutions which bring demonstrable value to GE Aerospace. You will be able to quickly assimilate customer requirements and translate these into working solutions. In this role you will be continuously exercising your analytic expertise … Data Science; Computer Science; Mechanical/Aeronautical Engineering) with some relevant work experience. Technical Skills Analytical scripting skills - Python preferred. Knowledge of and experience of using Machine Learning/AI and advanced statistics. SQL and Version Control (e.g. Github) experience useful. A keen interest in Data Science/Analytics and working in commercial Aviation. Flexible Working GE supports and encourages More ❯

a zero-trust approach, enforcing least-privilege access principles, and assuming breach to limit risk. Comfortable with creating and 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 ❯

About the role We are looking for a Senior Machine Learning Engineer to join our AI team and help us build cutting-edge legal solutions for some of the world's largest law firms. In this role, you will leverage your deep expertise in machine learning, natural language processing, and large language model (LLM) agents to push the boundaries of … value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi-agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience More ❯

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 ❯

challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and … best quality. Research discover and harness new ideas that can make a difference. What You'll Need To Succeed 4+ years hands-on data science experience. Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or 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 … systems, solving difficult and novel problems, and leading engineering and operational teams working in this space. Proven experience in developing data structures and algorithms. Experience working with ML/AI highly desirable. Proven experience contributing to product strategy development with Product Management teams. Experience in SaaS product engineering and operations highly desirable. Proven experience in modern software development and testing 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 ❯

Relational or non-relational databases using SQL or NoSQL Data Engineering skills using Python Modern Analytics architectures - Data Lakes/Data fabrics/Data mesh. Machine Learning and Generative AI use cases HTML, JavaScript, Angular XML, XSLT, JSON, SOAP, REST Cloud hardware services, containers, kubernetes, etc. Windows, Unix/Linux, MAC OS X API Management Healthcare protocol experience (FHIR, HL7 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 ❯

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 ❯