1 to 25 of 875 Artificial Intelligence Jobs in the City of London

Job Title: Generative AI Architect – Professional Services Job Description: We are seeking a strategic and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI-driven decision automation , data-driven insights , and scalable architecture to enhance business processes and client outcomes. As a key member … of our team, you will architect solutions that learn, reason, and make intelligent decisions , enabling AI to drive efficiency, innovation, and competitive advantage across multiple domains. Key Responsibilities AI Systems Architecture & Business Impact Design and develop scalable AI architectures that integrate seamlessly with existing business systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . … Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data collection, integration, cleansing, and transformation techniques to ensure high More ❯

Cloud & DevOps: Experience with AWS 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 growth, ensuring that you have More ❯

unactionable survey-based solutions into the 21 st century with the Brand Intelligence AI. BrandDelta has ambitious plans for growth, with Porto marked as the centre for advanced AI-led software, supported by a growing team, offering great career prospects to individuals. Founders have a history building globally awarded AI businesses (e.g. achieving a top-10 Gartner rating for … AI-led insight) and investing heavily into team and individual development. Role Description As a Data Scientist, you will be part of our Data & Innovation team. We are developing and integrating a corpus of cross-channel digital signals from multiple datasets to uncover insights, design and implement efficient media marketing, influencer & creative strategies and maximize their marketing towards optimal growth. … NLP & Computer Vision techniques, help uncover new consumer insights allowing our clients to gain knowledge and insights on consumer behaviour. You will play a key role in standardizing our AI into a Global solution. We deliver growth to clients based on AI enabled insights, allowing our customers to remain relevant, capture market share, create deeper connection with consumers. Requirements · Bachelor More ❯

AGITProp is an AI-driven quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from … learning, particularly in the development and application of Large Language Models (LLMs), to join our growing team. This role blends research and engineering expertise, requiring a deep understanding of AI/ML principles, strong programming skills, and the ability to contribute to cutting-edge research while also building and deploying practical solutions. Experience in the financial services industry is highly … desirable. The successful candidate will collaborate with team members to advance our AI capabilities. Responsibilities Design, develop, implement, and train very large AI models, with a focus on LLMs. Conduct original research in deep learning, particularly in areas relevant to LLMs, exploring novel architectures, training processes, and applications within the financial domain. Collaborate with portfolio managers, quants, traders, and engineers More ❯

IaC) using Terraform or AWS CDK. Exposure to data streaming platforms like Kafka is a bonus. Background in performance optimization, scalability, and security best practices. Desired Skills: Knowledge of AI and Emerging Technologies (Good to have) Understanding of how AI capabilities can be integrated into enterprise applications to enhance user experience, decision-making, and automation. Exposure to modern AI application … LLMs with domain-specific knowledge. Prompt engineering and fine-tuning for tailoring model behavior to business-specific contexts. Use of embedding stores and vector databases (e.g., Pinecone, Redis, Azure AI Search) to support semantic search and recommendation systems. Building intelligent features like AI-powered chatbots , assistants , and question-answering systems using LLMs and conversational agents. Awareness of agentic AI concepts …/goals in a collaborative, dynamic environment. Familiarity with tools and frameworks that enable LLM-based integrations such as LangChain , Semantic Kernel , or Azure OpenAI . Appreciation for ethical AI considerations including data privacy , security , and bias mitigation . Eagerness to explore emerging technologies and collaborate with AI/ML teams to bring intelligence into real-world business workflows. More ❯

in Computer Science, Engineering, or a related field. Demonstrable knowledge of data mining techniques using web crawlers/scrapers. Interest in technology outside the standard development ecosphere. Knowledge developing AI-based products (LLMs, Agentic AI, Vector embeddings, coding best practice with AI, Knowledge of the ML lifecycle)  Experience with Laravel (PHP). Please note: The duties and responsibilities listed above More ❯

join our delivery-focused and rapidly expanding technology and transformation team. The candidate will enhance the firm's data-driven decision-making abilities by utilising the latest technologies and AI tools used by the broader business and the software development functions. Ideal candidates will be ambitious, entrepreneurial, and energetic. They will be willing to absorb new knowledge and grow within … a dynamic, high-performance team. Execute the technology and innovation strategy to support the business's strategic growth by employing AI tools to derive commercial insights across a large set of structured and unstructured data and data sources. Enhance the existing technology ecosystem. Key Skills required: Python: Strong skills in Python programming. Ability to build applications from concept to production … and demonstrate a comprehensive understanding of the project lifecycle SQL Proficiency (SQL, stored procedures, extraction). Microsoft Azure: Experience with Microsoft Azure and Microsoft Power Platform. AI Tools: Demonstrable ability to create custom GPT's and Chatbots using AI Tools (we use Google Gemini API (and Notebook LM), Anthropics Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT). Demonstrate More ❯

and large companies. Our Technology Practice has 5 capabilities: IT Architecture Cloud Engineering Software Engineering Intelligent Process Automation Quality Management We are seeking a detail-oriented and technically skilled AI/ML Test Engineer to ensure the quality, reliability, and robustness of AI systems. This role involves designing and executing comprehensive test strategies for machine learning models and data pipelines … identifying issues across APIs, datasets, and model outputs, and driving quality throughout the AI/ML lifecycle. The ideal candidate will combine strong problem-solving abilities with a deep understanding of data science, software testing, and automation frameworks. Key Responsibilities: Diagnose and debug failures in AI systems, including technical bugs, data quality issues, or model limitations. Design and implement creative … test scenarios that push the limits of AI/ML models. Assess and articulate the impact of model behavior on end-user experience and business objectives. Create, manage, and validate large and diverse test datasets, including synthetic and adversarial data. Automate model and API testing using frameworks such as pytest, unittest, or behave. Collaborate with data scientists and engineers to More ❯

impossible” ethos, we prioritize trust, transparency, and innovation in everything we do. We are looking for an experienced Technical Product Manager to lead and drive the vision for our AI & Data team. As the TPM of this team, you will bridge the gap between our business objectives and technical implementation, working closely with data scientists, engineers, stakeholders and the wider … mission of making the world safer by empowering analysts with the right information at the right time. Scope of work: Lead the product development lifecycle for our data and AI-powered analytics features, from conception to launch Create and maintain a strategic product roadmap for our data products aligned with company objectives Gather and prioritize requirements from stakeholders, users, and … and KPIs for data products and track their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision, strategy, and progress to More ❯

our accelerated digital transformation and the implementation of our new Next Generation BI platform, we are looking for a Head of Data Engineering & Insight to lead our global Business Intelligence organisation. This key leadership role is aligned with our strategy - a modular, cloud-native data-centric architecture designed to democratise data access, strengthen governance, and maximise business value. Key … with organisational goals. Promote a data-driven culture through the adoption of self-service BI and automated reporting/dashboards. Skills & Experience: At least 10 years' experience in Business Intelligence, with 5+ years in a BI leadership role in a global or matrixed organisation . Proven expertise in modern BI architecture (Data Lake, EDW, Streaming, APIs, Real-Time & Batch … Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control (Okta) Job Scheduling & Monitoring (AWS, Splunk) Agile Data Engineering with centralised code repositories BI Data Portal: Power BI However this coexists More ❯

and technical/business/data analysis. Able to communicate effectively and clearly in writing and verbally, including drafting correspondence and documents and good presentation skills. Experience with business intelligence and reporting tools like Tableau, PowerBI or similar. Experience with version control systems (e.g. Git) Ability to work in an Agile environment Experience with Microsoft SQL. Experience with ETL … complex databases Experience in system support, monitoring & troubleshooting. Experience of working in environments with high information security standards to meet needs of ISO27001, SOC2 and GDPR etc Experience with AI and/or Machine Learning Project planning and management experience. Experience with finance systems i.e. Sage, Qube, IRIS or similar. Experience with CRMs such as HubSpot or similar. More ❯

science, they provide deep customer insights, predict behaviour, and enable hyper-targeted marketing. Responsibilities: Lead the organization’s data science initiatives, developing advanced analytics strategies, and driving innovation through AI and machine learning Develop and implement the company’s data science strategy to drive business growth. Stay ahead of emerging trends in data science, AI, and big data technologies. Challenge … the status quo and always look for ways to improve data science Oversee the development, deployment, and optimisation of AI/ML models. Partner with business leaders to identify key challenges and opportunities. Requirements: PhD or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven leadership experience in a data science or AI-driven … organization. Proficient in Python (core skill), with strong experience in SQL, AWS, and CI/CD pipelines Strong technical expertise in AI/ML and advanced analytics. Excellent problem-solving, communication, and stakeholder management skills. Strategic vision and business acumen. **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV More ❯

As the Lead Enterprise Architect for Data & AI, you will be responsible for defining and driving an enterprise-wide data and information architecture strategy. Your role will ensure data platforms, governance frameworks, and information assets are fully aligned with the needs of business domains such as Commercial, Finance, Supply Chain, Product, and Regulatory. You will lead the design of a … scalable, trusted, and connected data architecture that enables AI/ML, advanced analytics, digital transformation, and regulatory compliance. This is a critical leadership role in advancing the organization’s data-driven enterprise vision. Core Responsibilities of the Enterprise Architect Role: Bridge alignment between business and IT across a federated technology environment. Build strong stakeholder relationships with business and IT leaders. … lifecycle management policies at the enterprise level. Champion enterprise taxonomies, data product strategies, and federated governance. Stay informed on and assess innovations such as data mesh, lakehouse, and generative AI for enterprise applicability. Key Decision Areas: Defining the balance between centralized vs. federated data ownership and governance models. Selecting appropriate architecture patterns (e.g., data lakehouse vs. warehouse) for enterprise-wide More ❯

and modern backend architectures. Familiarity with event-driven or microservice-based patterns is a plus. The team are also looking for someone who can bring experience or interest in AI Engineering to build intelligent services and working alongside Data Scientists to deploy scalable AI-driven features and applications. A familiarity with cloud-based AI/ML services in Snowflake Cortex … or DOMO AI would be a strong advantage. Key Reponsibilities Design and implement robust, scalable backend systems using Python as the primary language. Apply object-oriented principles and design patterns to maintain clean, maintainable code. Leverage cloud-native services (primarily AWS) including Aurora, Load Balancer, Security Groups, and serverless compute options. Build and maintain CI/CD pipelines using industry More ❯

remarkable people who thrive on making an exceptional contribution. We now have an exciting opportunity for a Senior Data Scientist to play a key role in our Data and AI team. If making a difference gets you out of bed in the morning, then this could be the perfect opportunity and the start of something incredible! What will you be … doing? As a Senior Data Scientist, you will be a technical expert in a multidisciplinary team developing advanced AI and analytics solutions for the Insurwave platform. You’ll take full ownership of complex machine learning initiatives, from problem framing and algorithm selection to scalable deployment and monitoring. You will work across the full machine learning lifecycle, designing sophisticated models, experimenting … cutting edge techniques and building robust, production-ready pipelines. You will also contribute to the technical architecture, champion best practices in MLOps, and guide the strategic direction of our AI capabilities. This is a hands-on role for someone who enjoys both deep technical work and cross-functional collaboration—driving forward innovation while ensuring reliability, performance, and business value Responsibilities More ❯

solutions. What You’ll Do Build predictive models for campaign optimisation, forecasting, and price elasticity analysis. Support junior data scientists while contributing to high-impact projects. Create and implement AI-driven solutions that personalise customer experiences and maximise marketing performance. Use A/B testing and advanced analytics to assess the real-world impact of data-driven strategies. Present findings … containerisation tools (Docker, Kubernetes). Strong problem-solving skills and a passion for driving measurable business impact. Knowledge of marketing measurement techniques like media mix modelling. Exposure to advanced AI techniques (RNNs, NLP, GenAI, CausalAI, etc.). If this role looks of interest, reach out to Joseph Gregory More ❯

transform lives, communities and nations. We provide inspirational leadership to power this transformation, having fun and showing the passion for doing what we love. We are expanding our Data & AI team and are looking for a Senior Data Scientist to join the team. You will lead analytical workstreams on client projects, help productionise workflows and mentor more junior members of More ❯

With deep partnerships across government and the private sector, they are recognised as a leader in smart energy optimisation and predictive systems . As they continue to expand their AI capabilities, they’re seeking a Machine Learning Engineer to help productionise ML models and deliver real-time insights across their energy analytics platforms. Key Responsibilities: Develop, deploy, and monitor robust More ❯

be working with a market leader in the entertainment space with one of the strongest Data Science programmes in its sector. With an ambitious roadmap and strong investment in AI, data science, and engineering, this business is focused on building the most advanced, personalised customer experiences in the industry. With a dynamic culture rooted in product innovation, agile methodologies, and More ❯

constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java, and CMDB or asset integrations in ServiceNow. Knowledge of SAML, Active Directory, or LDAP. More ❯

Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an ‘AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence to outperform traditional competition. … The firm builds upon its rapidly expanding research team of exceptional PhD computer scientists, software engineers, mathematicians & physicists, to use a unique multi-disciplinary approach to solving enterprise-AI problems. Principal Activities of role: Data Pipeline Development: • Design, develop, and maintain ETL processes to efficiently ingest data from various sources into data warehouses or data lakes. • Data Integration and Management … on experience with data tools and frameworks such as Hadoop, Spark, or Kafka - advantage − Familiarity with data warehousing solutions and cloud data platforms. − Background in building applications wrapped around AI/LLM/mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial More ❯

best practice and ensure software is delivered to schedule. There's a host of new features and development work and you'll also help to drive the adoption of AI within the business, introducing things like chat bots and exploring the use of AI to make process improvements. This is an impactful role where you'll act as an "innovation … on highly scalable systems You have a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Design Patterns You have experience with, or a strong interest in Artificial Intelligence and are keen to explore the possibilities further, ChatGPT knowledge You have strong analysis and problem solving skills alongside organisation and planning abilities You have business acumen More ❯

We are seeking a talented and ambitious Business Intelligence & Technology Engineer to take ownership of our technology stack and drive our next phase of growth through automation and AI-driven decision-making. This is a unique opportunity to build and shape the digital infrastructure of a rapidly scaling start-up. You will have the autonomy to identify inefficiencies, design … robust solutions, and implement technologies that have a direct impact on our commercial success and operational excellence. You will play a pivotal role in enhancing our data analytics and AI capabilities, optimising our core business platforms, and developing bespoke solutions to solve complex challenges. Key responsibilities include but are not limited to: Develop, manage, and optimise the company’s tech … stack, including core business software platforms and ensuring scalability as the company grows AI & Automation Analyse business requirements to design and implement software and automation solutions, using generative AI, low-code platforms, and custom code to improve internal productivity and efficiency Implement generative AI-driven systems for intelligent information retrieval and synthesis from company data to enhance decision-making and More ❯

Job Role : Data & Applied Intelligence Strategy Manager Location : London Career Level: Manager As a team: Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain … power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? You'll learn, grow and advance in an … opportunity to develop a wide range of new skills on the job. In this role you will: Join our team of strategic thinkers who are passionate about leveraging Data, AI, and GenAI to drive transformative change. We are dedicated to helping organisations navigate the complex landscape of Data & AI. Our mission is to empower businesses across various industries with strategic More ❯

AI Software Engineer | Python | AWS | Kubernetes | CI/CD | LLM | LangChain | UK, Remote About the Role As a Backend Engineer, you’ll play a central role in shaping a new product with a strong focus on AI Agents and machine learning systems. This position offers a unique opportunity to help design, build, and scale a product from the ground up … influencing architectural decisions, AI integrations, and overall user experience. You'll be a key contributor in a fast-paced, innovation-driven environment working on AI-powered solutions in cybersecurity. What You’ll Do AI Agent Development: Contribute to the creation and scaling of complex AI agents addressing major cybersecurity challenges. System Architecture: Design and implement backend systems to support AI … Looking For Experience: 7+ years of experience in backend development. Backend Expertise: Strong skills in backend technologies, including API design, database systems, and server-side frameworks (e.g., Python). AI/ML Knowledge: Understanding of machine learning principles and experience integrating AI models (especially LLMs) into production systems. Familiarity with tools like LangChain or LlamaIndex is a plus. Cloud & DevOps More ❯