1,151 to 1,175 of 21,265 AI Jobs in England

programming language(s) Advanced knowledge of software applications and technical processes with considerable in‐depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer … performance and responsiveness Familiarity with handling high-frequency data updates in UI applications Strong understanding of application profiling and tuning techniques Knowledge of AI integration or cloud technologies, especially AWS Experience working in fast‐paced, agile environments within financial services About Us J.P. Morgan is a global leader in financial ...

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 ...

LEAD DATA SCIENTIST Security Knowledge Graphs & Cyber AI Lead Experience 10+ years overall; 5+ years in AI/ML or graph analytics Location Flexible/Hybrid Employment Type Full-time Role Purpose Lead the design, engineering, and operationalization of enterprise Security Knowledge Graphs that connect security telemetry, assets, identities, vulnerabilities … combines data science, graph engineering, cybersecurity analytics, semantic modeling, and technical leadership to enable attack-path analysis, threat investigation, exposure prioritization, GraphRAG , and AI-assisted security operations. Key Responsibilities Design the Security Knowledge Graph architecture, ontology, taxonomy, entity model, relationship model, provenance model, and lifecycle standards. Build production-grade graph ...

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 ...

reliable operational use. You will work across a varied set of Commercial initiatives, with opportunities to support data products, process intelligence, automation and AI‐enabled solutions. Responsibilities Design, build and maintain data pipelines and curated datasets using Python, SQL and modern data‐engineering platforms. Pick up and progress existing data … Lake or comparable technologies. Experience with Celonis, process mining or process intelligence. Experience with enterprise platforms such as Salesforce, SAP or ServiceNow. Exposure to AI‐enabled applications, workflow automation or data products supporting LLM‐based solutions. Experience with CI/CD, Git, automated testing, observability or visualisation tools such ...

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 ...

Investigations, the Chief Scientist, Product and Engineering, so that data science work lands as platform capability rather than as analysis nobody uses. Set the AI working standard for the team. Decide how your team uses AI in its engineering and research workflow, what must be verified and how, and hold … your own function. Care about the mission of using intelligence to fight financial crime and protect the global financial system. Our ideal candidate has: AI fluency, which is essential for this role. You must be able to demonstrate how you apply AI tools and approaches within a data science workflow ...

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 ...

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 ...

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment … graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived ...

standards, automation, governance, and developer experience established within our GCP platform. Alongside this, you will play an important role in enabling the organisation's AI transformation. Building on our existing cloud platform foundations, you will help develop the tooling, patterns, operational capabilities, and platform services required to support AI‐powered … applications, agentic workflows, and emerging AI technologies at enterprise scale. As a Principal Engineer, you will work closely with peers across engineering, architecture, security, and product teams to solve complex technical challenges and influence technical direction through expertise, collaboration, and delivery. You will evaluate emerging technologies, develop proof‐of‐concepts ...

built its success on disciplined, sustainable investment, the business is now making a significant commitment to the next generation of its data, analytics and AI capability, and this appointment sits at the centre of that programme. You will provide the operational expertise behind the firm's data management, ensuring data … governance across the business Monitor and analyse information and data systems, identifying opportunities for enhancement, from upgrades and automation to the responsible adoption of AI and machine learning Work with the Data Manager to keep data science tooling efficient and consistent, enabling colleagues to use the latest business intelligence ...

team, ideally building internal tools or platforms. Experience contributing to the consolidation or re-architecture of multiple applications into a single platform. Experience using AI-assisted or agentic development tools (e.g.Claude Code, Cursor) as part of a disciplined engineering workflow – able to critically review, test and take full ownership … AI-generated code. An interest in or awareness of the intelligence, OSINT,securityor investigations space. Experience mentoring junior engineers or reviewing others'code. Experience producing clear technical documentation and user guides. Prevail Partners believes in recognising and rewarding our people. Our benefits package is designed to support your wellbeing, financial ...

Data Engineer/Analyst to manage and improve existing data pipelines, build scalable new solutions and help drive the organisation's wider data and AI strategy. The role offers a genuine combination of Data Engineering and Data Analysis, with key technologies including Azure Data Factory, Snowflake, SQL Server and Tableau. … understand requirements and provide data-driven recommendations. Present findings and recommendations to senior stakeholders. Support the development of the organisation's wider data and AI strategy. Contribute to decisions around future data architecture, tooling and data capabilities. Identify opportunities to improve how data is collected, managed, analysed and utilised across ...

Movar is seeking a Data Scientist with practical experience in analytics and machine learning. You will work at the intersection of data science and AI, developing solutions that help our clients across infrastructure, utilities, and defence sectors derive actionable intelligence from complex data. You will contribute to projects involving both … traditional analytics and modern AI technologies, including Generative AI applications. Core Responsibilities Develop end-to-end data science solutions, from data preparation to model deployment. Build analytical models and contribute to AI applications, including LLM-based tools. Work with Azure Machine Learning and Azure OpenAI to deliver client solutions. Collaborate ...

united by ourpioneeringagentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients … 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 analytical thinkers, builders, creators and problem solvers ...

improvement & innovation lead initiatives that improve CRM processes, reporting and operational effectiveness keep up to date with developments in CRM, relationship intelligence, analytics and AI-enabled productivity tools recommend practical improvements that enhance efficiency, adoption and user experience Skills & qualifications We are looking for an individual with strong CRM, analytical … self-service analytics capabilities experience supporting communication governance and audience management processes experience delivering platform enhancement or implementation projects familiarity with Microsoft Copilot and AI-enabled productivity tools Personal qualities curious about people, relationships and what drives successful client engagement analytical and commercially minded, with the ability to identify trends ...

data science vision — designing, building, and scaling models that turn complex property data into actionable intelligence. You’ll lead the development of patent-pending AI technology that blends computer vision, multimodal learning, and LLM fine-tuning to interpret imagery, documents, and unstructured data at scale. About The Role … shape our AI roadmap from the ground up, influence product direction, and see your models make an immediate impact. Key Responsibilities Lead Planna’s data science activities — from research and model development to production deployment. Design and implement vision, predictive, and generative AI models that directly power our core products. ...

biomedical problems Good oral and written communication skills Ability to work independently and as part of a team Good organisational skills Experience in artificial intelligence/machine learning/data science Experience in prototype coding (e.g. Python, MATLAB) Understanding of the importance of algorithmic validation Desirable Master’s degree ...