101 to 125 of 22,397 AI Jobs in England

advanced models for asset allocation, risk, macro and scenario analysis, including data preparation, testing, calibration, optimisation, and maintenance as models and data evolve. Develop AI‐assisted research and modelling workflows, including data engineering, model design, evaluation, and monitoring. Translate theoretical research and investment logic into efficient, testable, and maintainable code. … partnering closely with Founders. Strong analytical judgement, communication skills, and attention to detail. Experience with designing and refining large scale dynamic models. Experience applying AI or ML methods to real‐world, noisy financial or economic data. Strong awareness of the investment industry landscape, financial instruments, and market/economic events ...

teams, and engineering teams to translate business requirements into scalable technical solutions Define architectural standards and technology roadmaps for data warehousing, Lakehouse, streaming, and AI/ML workloads Drive adoption of modern Agile, DevOps, CI/CD, Infrastructure-as-Code, and DataOps practices Develop a strong understanding of Transaction Cost … platforms for capital markets, including FX, Fixed Income, Equities, or Derivatives Knowledge of Transaction Cost Analysis (TCA), execution analytics, and market microstructure Experience with AI/ML platforms, feature stores, and MLOps frameworks Experience evaluating alternative analytical databases such as DuckDB, ClickHouse, Redshift, BigQuery, KDB+, or Apache Iceberg-based architectures ...

product teams, and engineering teams to translate business requirements into scalable technical solutionsDefine architectural standards and technology roadmaps for data warehousing, Lakehouse, streaming, and AI/ML workloadsDrive adoption of modern Agile, DevOps, CI/CD, Infrastructure-as-Code, and DataOps practicesDevelop a strong understanding of Transaction Cost Analysis … building analytics platforms for capital markets, including FX, Fixed Income, Equities, or DerivativesKnowledge of Transaction Cost Analysis (TCA), execution analytics, and market microstructureExperience with AI/ML platforms, feature stores, and MLOps frameworksExperience evaluating alternative analytical databases such as DuckDB, ClickHouse, Redshift, BigQuery, KDB+, or Apache Iceberg-based architecturesExperience with ...

cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well‐being, and continuous ...

lead the development and operation of Menzies’ GCP data warehouse, creating a trusted, secure and accessible data foundation that enables insightful reporting, automation and AI, and supports smarter decision-making across the firm. Why Menzies? At Menzies, our culture is our cornerstone. We blend technical excellence with genuine care … Team. Enable data to deliver real business value by working with developers and analysts to make warehouse outputs accessible through Power BI, automation workflows, AI agents and internal applications. Evaluate technology and integration options , making pragmatic build-versus-buy recommendations that balance business value, security, scalability, supportability and cost. Champion ...

lead the development and operation of Menzies’ GCP data warehouse, creating a trusted, secure and accessible data foundation that enables insightful reporting, automation and AI, and supports smarter decision-making across the firm. Why Menzies? At Menzies, our culture is our cornerstone . We blend technical excellence with genuine care … Team. Enable data to deliver real business value by working with developers and analysts to make warehouse outputs accessible through Power BI, automation workflows, AI agents and internal applications. Evaluate technology and integration options , making pragmatic build-versus-buy recommendations that balance business value, security, scalability, supportability and cost. Champion ...

Methods is recruiting for a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. You will support complex client engagements where data ...

Description Methods is recruiting for a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. You will support complex client engagements where ...

Description Methods is recruiting for a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. You will support complex client engagements where ...

Description Methods is recruiting for a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. You will support complex client engagements where ...

Description Methods is recruiting for a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. You will support complex client engagements where ...

Description Methods is recruiting for a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. You will support complex client engagements where ...

Description Methods is recruiting for a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. You will support complex client engagements where ...

warehouse. Drive enterprise data integrity, validation, documentation, and governance practices — and the tooling that makes them the default rather than the exception. Apply AI to accelerate the team's own work (e.g., building reusable Claude skills for pipeline migrations and upgrades) and share those patterns with individual teams. ...

We work with some of the UK’s biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to ...

team in cross‐functional forums and communicate technical concepts clearly Required Qualifications, Capabilities, and Skills BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience) Leadership experience in AI/ML, including leading teams and projects from conception to production Strong foundation … ability to present technical concepts to senior business stakeholders and non‐technical audiences Preferred Qualifications, Capabilities, and Skills PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Experience leading AI/ML initiatives in a regulated industry Join ...

looking for an AI Consultant (Artificial Intelligence & Machine Learning) - Financial Services Expertise to join our team in London, UK, in a hybrid working mode. As one of the world's leading digital transformation service providers, we are expanding our Data and AI Practice across Europe to meet growing client demand … advanced AI and data science solutions. The ideal candidate will have a deep understanding of artificial intelligence, machine learning and analytics, combined with IT consulting experience and domain expertise in financial services. In this role, you will partner with clients to solve complex business challenges by designing, developing and deploying ...

advancements and apply relevant techniques to business problems Required Qualifications, Capabilities, and Skills: Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, or a related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model … Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences Preferred Qualifications, Capabilities, and Skills: PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Markets Operations environments J.P. Morgan is a global leader in financial services, providing strategic ...

advancements and apply relevant techniques to business problemsRequired Qualifications, Capabilities, and Skills: Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence, or a related field (or equivalent experience)Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model developmentExperience … small teamsAbility to communicate technical concepts clearly to business stakeholders and non-technical audiencesPreferred Qualifications, Capabilities, and Skills: PhD in Data Science, Computer Science, Artificial Intelligence, or a related fieldExperience in financial services, banking, or Markets Operations environmentsJ.P. Morgan is a global leader in financial services, providing strategic advice ...

Data Engineering function responsible for designing, building and scaling enterprise-grade AI platforms. This is an exciting opportunity to work on cutting-edge Artificial Intelligence, Machine Learning and Large Language Model (LLM) initiatives, helping to transform innovative AI research into secure, scalable production systems. The role is open to candidates … with a passion for building scalable AI solutions and solving complex engineering challenges. You'll ideally have: A degree in Computer Science, Software Engineering, Artificial Intelligence or a related discipline. 5+ years' commercial experience in AI Engineering, Machine Learning Engineering, Backend Engineering or Data Engineering. Expert-level Python development experience. ...

AI at our foundation, cyber risk at our core. We don't just use AI, we shape it. Built on AI from day one. Artificial intelligence has been part of our strategy since the beginning, blended with deep cybersecurity and insurance expertise and backed by rigorous testing. Trusted by more … lower their potential likelihood and/or impact of events, and Technology adoption and trends including the adoption, reliance on and governance of artificial intelligence ... translating these factors into the assumptions and scenarios that drive risk models – especially where historical data is limited Own the scenario and "event family ...

/Applied AI Engineer/Full-Stack Engineer/Technical Delivery Consultant/Solutions Architect/Python/Java/C++/C#/Artificial Intelligence/Generative AI/Large Language Models/LLMs/APIs/Cloud Computing/AWS/Microsoft Azure/Google Cloud Platform/… TypeScript/JavaScript/React/Node.js/SQL/Computer Science/Software Engineering/Artificial Intelligence degree/Machine Learning degree/Computing degree RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists. Even if the above role isnt of interest, please visit our website ...

excellence, innovation, responsible AI adoption, and continuous learning Required Qualifications, Capabilities, and Skills Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or related field, or equivalent practical experience Strong software engineering experience with Python and experience designing, building, and operating production‐grade applications … model versioning, and experimentation frameworks Familiarity with Markets Operations processes, trade lifecycle, post‐trade operations, reconciliations, controls, exception management, or operational risk Experience applying Artificial Intelligence in finance, markets, operations, risk, or large‐scale enterprise technology environments Strong presentation, stakeholder partnership, technical leadership, and project execution skills J.P. Morgan ...

technical excellence, innovation, responsible AI adoption, and continuous learningRequired Qualifications, Capabilities, and SkillsBachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or related field, or equivalent practical experienceStrong software engineering experience with Python and experience designing, building, and operating production-grade applicationsExperience designing … prompt and model versioning, and experimentation frameworksFamiliarity with Markets Operations processes, trade lifecycle, post-trade operations, reconciliations, controls, exception management, or operational riskExperience applying Artificial Intelligence in finance, markets, operations, risk, or large-scale enterprise technology environmentsStrong presentation, stakeholder partnership, technical leadership, and project execution skills#CIBAppliedAIJ.P. Morgan is a global ...

Associate - AI for Occupational Health Automation This is an exciting opportunity to work full time on a 24-month collaborative partnership between Anglia Ruskin University and Cordell Health Ltd to develop the capability of automated and accurate real-time data insights using Data Science and Artificial Intelligence (AI) to support … commercial impact. The role is well-suited to a candidate with strong operational insight with ideally a PhD in Computer Science, Data Science, Artificial Intelligence, Health Informatics or relevant field. The position will lead a complex project requiring analytical thinking, technical capability and confidence to engage a variety of stakeholders. ...