976 to 1,000 of 21,015 AI Jobs in England

/Data Analyst Experience (In Years) 3-6 Job Location london Job Description EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI … consulting or client‐facing environment. Passion for sport and an understanding of global fan cultures. As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income ...

initiatives by providing data-driven analysis and recommendations. Work closely with Sales, Marketing, Finance, and Product to align revenue operations with wider business goals. AI-Enabled Analysis: Comfortable using AI tools (e.g. Gemini, Claude, or similar) to speed up analysis — for tasks like summarising data, drafting reports, or building quick … models/scripts. Experience applying AI/LLM tools to streamline repetitive RevOps workflows, such as data cleaning, CRM hygiene, or generating first-pass insights from large datasets. Qualifications and Skills Bachelor's degree in business, finance, economics, or a related field; Master's degree a plus. 2–4 years ...

have the opportunity to chart your own course, develop your skills, and realize your full potential. We welcome applications from all qualified candidates. Applicant AI Use Disclosure We are committed to understanding each candidate's unique experience, skills, and aspirations. To ensure a genuine evaluation, we do not utilize artificial … intelligence (AI) tools to make hiring decisions. We kindly request that candidates disclose any use of AI in the application and interview process to promote transparency and ensure a fair and equitable evaluation. #J-18808-Ljbffr ...

enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide … every moment - make your next move your best one. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making. #J-18808-Ljbffr ...

Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success … production (e.g., MLflow, Optuna, Prefect, or Airflow). Background in supply chain forecasting, enterprise AI, or retail analytics M.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field. Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent ...

pipelines) and proficiency with additional programming languages (especially Java or C++ for low‐latency systems) are plus points. You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical … when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart ...

priorities. Collaborate across engineering teams, product owners, architects, and business stakeholders. Mentor engineers, foster knowledge sharing, and shape technical direction. Promote responsible adoption of AI-assisted software development practices. Ensure engineering output meets stakeholder expectations, security, resiliency and compliance standards. Technical Skills Strong hands-on experience with Java and/… suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems ...

nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders … product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Think you’re a good fit for this job? Tell us more about yourself and why you're interested ...

nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders … product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Think you’re a good fit for this job? Tell us more about yourself and why you're interested ...

nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders … product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Application Process Think you’re a good fit for this job? Tell us more about yourself ...

agile methodologies, including CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile)In-depth knowledge of the financial services industry and IT systemsPractical cloud native experiencePreferred Qualifications, Capabilities, and Skills: Experience with … Java 21Familiarity with Spring framework and Spring BootKnowledge of RDBMS and NoSQL databasesExperience with KafkaExpertise in microservices architectureAbility to leverage AI tools like MCP servers and Claude to enhance productivityJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations ...

MLOps, Infrastructure as Code (Terraform, Ansible), observability, monitoring, and automated deployment pipelines. Strong understanding of Secure SDLC, release engineering, operational excellence, and platform automation. AI, Generative AI & Machine Learning Expertise in Generative AI, Machine Learning, Deep Learning, and Agentic AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, Llama, Mistral, HuggingFace … emerging AI platforms. Hands-on experience with AI orchestration and agent frameworks including LangChain, LangGraph, Semantic Kernel, LlamaIndex, CrewAI, and AutoGen. Strong knowledge of Prompt Engineering, RAG, Vector Databases (Pinecone, Weaviate, Chroma, FAISS, Azure AI Search), Model Fine-Tuning, LLMOps, and Secure AI practices. Enterprise Architecture & Security Proficiency in enterprise ...

data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data … Engineering. Establish Industry Thought Leadership: Author whitepapers, publish technical blogs, and deliver high-impact presentations at public forums (such as the Data + AI Summit) to position the Databricks Intelligence Platform as the premier platform for enterprise database modernization. Handle the most complex technical challenges in this product line ...

libraries for machine learning, such as Pandas, Scikit-learn and XGBoost. Proven development experience with cloud services, data stores and architectures, such as Vertex AI, BigQuery and Cloud Run. Hands-on experience with machine learning operations tooling and frameworks used with large datasets, such as Kubeflow Pipelines and dbt, including … retail banking, or a desire to learn how to apply your technical skills in this area. Desirable skills/experience Exposure to generative artificial intelligence and agentic tooling, such as Agent Development Kit or LangChain. Experience configuring large language models to optimise cost and benefit. Benefits A generous pension contribution ...

libraries for machine learning, such as Pandas, Scikit-learn and XGBoost. Proven development experience with cloud services, data stores and architectures, such as Vertex AI, BigQuery and Cloud Run. Hands-on experience with machine learning operations tooling and frameworks used with large datasets, such as Kubeflow Pipelines and dbt, including … retail banking, or a desire to learn how to apply your technical skills in this area. Desirable skills/experience Exposure to generative artificial intelligence and agentic tooling, such as Agent Development Kit or LangChain. Experience configuring large language models to optimise cost and benefit. Benefits A generous pension contribution ...

solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem. Elliptic is building an AI fluent workforce. We invest in the tools, training and time for our teams to use AI well: every Elliptite has access to Claude … expect AI to be a normal part of how you work, not an occasional add on. We are not looking for people who use AI the most. We are looking for people who use it best, with curiosity, sound judgment and full ownership of what they ship. Across our Product ...

core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make … their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies ...

sectors including Transport, Defence, Air Traffic Management and Space, alongside advanced Information Technology services delivered through Minsait, and cutting-edge capabilities in Sovereign AI, Cybersecurity, and Cyberdefence via IndraMind. The company's business model is built around a comprehensive portfolio of proprietary products, combining strong innovation with a high-value … implementation of other management systems, such as ISO 27701, ISO 22301, ISO 20000, ISO 9001 and ISO 14001. Knowledge of security in cloud environments, artificial intelligence, industrial control systems (ICS), operational technology (OT) and the Internet of Things (IoT). Knowledge of physical security principles and controls. Experience with ...

other blockchain data, graph computation, and/or the cryptocurrency ecosystem. Technologies we use: Python SQL Databricks Dbt PySpark/Spark Terraform AWS Postgres AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps … rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure ...

Intelligence, the Data Scientist will work across the full data lifecycle, developing advanced models, building scalable data solutions, contributing to the businesses data and AI strategy and helping shape our modern data platform as we transition to Microsoft Fabric. Duties & Responsibilities Partner with stakeholders across the company to understand business … products that enable objective decision-making with speed and confidence. Promote and champion a data-driven culture by applying advanced analytics, statistics, machine learning, AI, and emerging technologies to solve business problems, improve performance and help the organisation move from reactive reporting to proactive and predictive decision-making. Design, develop ...

everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data and AI accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform … vital part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data and AI challenges. Digital native companies are born in the cloud and build data and AI products at their core, which makes them among the most technical ...

rating methodologies, improve data processing pipelines, and optimize platform performance Stay up-to-date with the latest advancements in NLP, machine learning, and artificial intelligence to ensure the continued innovation of Sensefolio’s ESG data and analytics solutions Conduct research on emerging ESG trends and issues, and incorporate findings into … related field; advanced degree (MS, PhD) is a plus A minimum of 3 years of professional experience in NLP, machine learning, or artificial intelligence, preferably within the financial services, ESG, or data analytics industries Proficiency in Python and NLP libraries, such as NLTK, spaCy, or Gensim Strong understanding of data ...

Permutable, we're building real-time AI systems that transform large volumes of global news, market and proprietary data into market intelligence and systematic signals for financial institutions. We're evolving our technology towards a more real-time, event-driven and agent-driven architecture and are looking for a Senior … Help move our architecture from scheduled pipelines towards real-time, event-driven services using messaging, queues, asynchronous processing and distributed systems. Build Infrastructure for AI Agents: Develop the infrastructure required to run increasingly agent-driven AI workflows reliably in production, including state management, task execution, model routing, retries and observability ...

Lead Data Engineer Location: London Reporting To: Chief Technology Officer About Us Our client is a leading AI-powered SaaS company that helps businesses unlock the full potential of their first-party data. Their platform transforms complex data into actionable intelligence, enabling clients to drive revenue growth and optimise decision … Finance, Retail, Travel, Telco, and Healthcare, working with major household-name brands. Currently serving clients in four countries with two live products and two AI solutions in development, this is an exciting time to join as they scale rapidly. Role Overview This is a player-manager role leading the Data ...

research, CRM data, product usage data and business performance metrics into clear, actionable insight. This role is designed to build future data science and AI capability while strengthening day-to-day reporting, dashboarding and evidence-based decision making. You will be responsible for turning customer, commercial and operational data into … evidence, helping the business move towards a more connected view of customer needs, behaviours and outcomes. You will have exposure to data science, automation, AI-ready analytics, cloud environments and customer data architecture. Responsibilities: Analytics and Insight Generation - Analyse customer, product, commercial and operational data to uncover trends, risks ...