1 to 25 of 39 Artificial Intelligence Jobs in Central London

a next-generation data experience for scientists, engineers, and decision-makers - increasing productivity, and reducing time spent on "data mechanics" Provide best-in-class AI/ML and data analysis environments to accelerate predictive capabilities and attract top-tier talent Aggressively engineer data at scale to unlock the value of more »

Customer Success & Onboarding Manager (Start-up) - London - SaaS - AI Driven Solution The Company: Fast-growing VC backed A.I transformative SaaS platform. Achieving consistent YoY/MoM growth (100% inbound) Delivering a solution changing the way commercial functions operate across tech. The role: Manage client journey from onboarding and beyond, with more »

and implementing enterprise-level architectures. Experience with Azure data technology stack (Data Factory, Azure SQL, Synapse Analytics etc.) Experience with artificial intelligence (AI) and/or robotic process automation within a finance or insurance content is incredibly useful Experience leading a small team Strong understanding of the Insurance more »

client is boldly shaping how people interact with their home or more specifically, how they interact with tech that runs their home By integrating AI and ML into their products, they are able to compete with the biggest names in the market whilst also maintaining a core focus on creating more »

in technology, ensuring they keep at pace with the market and evolve. This new role reports into their Global Head of HR, as their "AI Readiness Manager" playing a key role in equipping their workforce with the knowledge and skills necessary to embrace and thrive in an AI-powered workplace. … the future of work. You'll have support from an incredibly high-performing, and collaborative wider HR team of 12 people. Responsibilities: Develop an AI Skills Framework: Conduct a comprehensive analysis of current and future skillsets required for an AI-driven workplace. Champion Upskilling & Reskilling Initiatives: Lead the development and … implementation of engaging training programs across various levels. Develop and implement a comprehensive AI readiness strategy for the bank, focusing on employee learning and development. Conduct needs assessments to identify knowledge gaps and areas where training is most crucial for AI adoption. Partner with business units across the bank to more »

AL/ML Product & Portfolio Manager (AI Products/Delivery/Governance/Process/Change). FTSE100. Greenfield. West London/Hybrid Overview of role: Our client, a FTSE100 business, are building out new Machine Learning/ML/Insights team and looking for a AL/ML Product … efficient delivery of consistent high-quality output. Why could you be interested: You will sit at the centre of the business as they explore AI/ML be responsible for embedding these ML Products & associated processes across a FTSE100 going through lots of change & Transformation As they gain more traction … ensure that machine-learning products are assured to deliver business value in an efficient and robust manner. Experience with Machine Learning and/or AI Products Experience Product Lifecycle experience, development, release, review, decommissioning. Change management experience - Leading the upskilling of the department in product lifecycle management practice. Accountabilities: Manage more »

security best practices, and Microsoft Defender products and services Protect sensitive data and ensure compliance with data governance standards Work closely with Data and AI teams to ensure their Azure-based solutions are designed, implemented, and maintained correctly and securely Azure Data Lake, Azure Data Factory and Azure Open AI … Participate in joint projects to integrate Data and AI solutions On Prem Infrastructure Experience - Windows Server, Active Directory, SQL Server, Oracle, VMware, Red Hat Enterprise Linux 9, Cisco Switches and Palo Alto Firewalls Automation scripts using PowerShell or Python. Desirable: Experience with Linux (RedHat) Experience with Databases (SQL, Oracle) Experience more »

Centre Director, you will be responsible for delivering results and improved performance through ensuring effective & efficient contact centre operations, leveraging of technology, automation and AI, being data-driven to inform decisions and collaborating across the business. You will lead a team of sales & retention agents, providing guidance, motivation, and support … direct to consumer/D2C/B2C digital sales within a call centre/customer care/contact centre operations environment Experience of utilising AI and automation tools such as chatbots, RPA, IVR, virtual agents, workforce management....... Strong leadership skills with the ability to build, develop, lead, inspire and motivate … as the Contact Centre Director: Opportunity to lead a driven, eager to learn sales team in a fast-growing industry Collaborative and innovative tech, AI & Data-driven work environment Professional development opportunities to grow your career Make a real impact on the success and growth of the company Help learners more »

Founding Engineer Work for an innovative start-up in the AI space. Be a key member of the founding team. Competitive salary plus equity. We are working with a new start up business based in London, who are looking for a Founding Engineer to join their dynamic team. They are … creating an AI recruitment platform at will assist with finding the right talent more effectively. The recruitment process is complex and by using this tool, they aim to create a solution that simplifies the journey for candidates and clients. What youll be doing: As a founding engineer, you'll be more »

This is an exciting opportunity for a Data Architect to join a growing Data & AI team. The successful applicant will work alongside architects and consultants to deliver high-quality data solutions to help customers become more successful in becoming a data-guided organisation. The Data Architect is responsible for planning … Good understanding of Azure infrastructure (Subscriptions/Resource Groups, Virtual Networks, Kubernetes, Security options, etc) Good understanding of modern reporting platforms (dashboarding, advanced analytics, AI) An ability to explain complex problems in a simple and effective manner Strong peer and senior stakeholder management skills (including engagement with exec level sponsors … Architecture Frameworks Good knowledge of Azure DevOps Pipelines Strong experience in Apache Spark framework Previous experience in designing and delivering data warehouse and business intelligence solutions using on-premises Microsoft stack (SSIS, SSRS, SSAS) Knowledge of any other enterprise product/tool for CI/CD e.g.: Terraform, Jenkins more »

client base is continually expanding outside of financial services to encompass media, professional services, automotive technology and others, particularly in the growing areas of AI and Machine Learning. We now need an experienced Recruiter to join our team to help deliver to a demanding client base and develop this client more »

document review platform is powered by Reveal-Brainspace and offers a full suite of eDiscovery solutions in one seamless platform, harnessing the latest in AI technology to get to the salient data as quickly and cost-effectively as possible. We have an opportunity for a Graduate/Junior eDiscovery Project … the platform. Performing day to day requests on the front-end of the platform such as keyword searching, foldering, creation of exports, adding users, AI searching (‘Machine Learning') etc. Internal administration related to the above, such as: - Conflict Checking - Internal Project Setup - Client charging Reports and Invoice request creation (Invoices more »

Management, Development teams) to integrate ML and LLM solutions into impactful projects. Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, EU AI legislation). Oversee end-to-end development and deployment of ML and LLM solutions. Establish best practices, standards, and processes for ML model development and … . Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable ML model deployment. Understanding of data privacy, security, and ethical AI principles. Excellent communication, stakeholder management, leadership, and problem-solving skills. Experience Required: -Minimum of 8-10 years of relevant experience. - Demonstrated experience in building and … principles and MLOps best practices. - Experience working in regulated industries, with a strong understanding of data privacy, security, and compliance requirements (e.g., GDPR, EU AI legislation). - Proven success in driving ML and AI initiatives that have resulted in measurable business impact, such as process automation, cost optimization, or revenue more »

and the expedition of their new product launch. They offer a fantastic progression plan and brilliant training. They are currently researching the benefits of AI & ML in the Finance sector and plan to start work commercially later in 2024. Could you be the one implementing AI in the Fintech space more »

Data Acquisition Lead - Data Quality, ETL, AI Join a tech-driven London Market Insurer as the Data Acquisition Team Lead, where you'll lead the charge in acquiring, structuring, and verifying unstructured data sources. Working with cutting-edge data technology and AI, you'll oversee the delivery of high-quality … teams. Strong analytical skills with a focus on problem-solving and innovation. Proficiency in data management, databases, and ETL processes. Familiarity with data tools, AI, and machine learning technologies. Excellent communication skills and stakeholder management expertise. Data Acquisition Lead - Data Quality, ETL, AI more »

Cheltenham. Salary: £30k - £80k Candidates MUST hold active DV clearance in order to be considered for this role. The role sits within the Data Intelligence department, consisting of 100 Data Consultants covering several data specialisms ranging from Data Strategy, Architecture and Governance to Data Science, Data Engineering, Artificial Intelligence and Machine Learning. They are currently looking for Data Architects to help their clients across a wide range of industries in their mission to establish consistency and realise business benefit from data and information assets. They will be given the freedom and director level support to establish … data agendas with clients where they will bring their experience, ideas and, perspectives on data and intelligence in order to implement E2E data solutions, driving real business benefit. Experience and Skills: Solid experience in at least one discipline, but ideally more across Data Modelling; Data Integration & Processing; Data Storage more »

Overview: We are seeking a motivated and enthusiastic individual to join our team as an AI Recruitment Intern. The primary focus of this role will be to support the integration of artificial intelligence (AI) technologies within our recruitment business. This internship opportunity offers a hands-on experience in … leveraging AI tools and techniques to streamline and enhance the recruitment process. Key Responsibilities: 1. Research and evaluate AI technologies and tools that can be integrated into the recruitment process. 2. Assist in developing and implementing AI algorithms to optimise candidate sourcing, screening, and matching. 3. Collaborate with the recruitment … team to identify areas where AI can improve efficiency and effectiveness. 4. Analyse recruitment data to identify trends and insights that can be leveraged to enhance decision-making. 5. Support the testing and refinement of AI models and algorithms to ensure optimal performance. 6. Provide training and support to recruitment more »

frameworks * Developing the roadmap and transient states to improve the maturity of DevOps practices and unlock maximum value by adopting NextGen techs like Generative AI and Platform Product Management You will be required to work and communicate with all levels of an organisation to collaboratively innovate, design, and implement modern more »

work in the UK. The role: As a Full Stack Developer, you'll play a vital role in developing cutting-edge web applications with AI features. You will need experience working on the front and back end and experience with JavaScript, Python and React. Any background in ML would also … to learn and adapt to new technologies is essential! The company: You'll be joining a small startup, developing cutting-edge web applications with AI features. The Full Stack Developer will work on business-critical applications that are a major part of the overall growth of the business. For the more »

cloud and on-premise. Developing software products. Experience with EKS, Kubernetes, OpenSearch/ElasticSearch, MongoDB, Spark or NiFi. Experience with microservices architectures. Experience with AI/ML systems TO BE CONSIDERED…. Please either apply by clicking online or emailing me directly to For further information please call me on more »

Stack of their technology. You will be working with ex-employees of Google, Microsoft and Facebook to achieve company objectives. This company are an AI startup that work on building the best business AI video systems on the market. They need an experienced Full Stack Python Engineer to contribute to more »

document review platform is powered by Reveal-Brainspace and offers a full suite of eDiscovery solutions in one seamless platform, harnessing the latest in AI technology to get to the salient data as quickly and cost-effectively as possible. We have an opportunity for an experienced eDiscovery Project Manager, to … the platform. Performing day to day requests on the front-end of the platform such as keyword searching, foldering, creation of exports, adding users, AI searching (‘Machine Learning') etc. Internal administration related to the above, such as: - Conflict Checking - Internal Project Setup - Client charging Reports and Invoice request creation (Invoices more »

different teams and stakeholders. Deep knowledge of industry-standard architectural frameworks, methodologies, and best practices. Familiarity with current and emerging technologies such as APIs, artificial intelligence and robotic process automation in an insurance context. more »

Python and DataOps. This is a fantastic opportunity for a Data Engineer to gain exposure to different business areas from Visualisation, Machine Learning/AI and governance. Alongside this my client is going to be going through a cloud migration to Azure. Responsibilities : Collaborate with cross-functional teams to understand … ETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machine learning algorithms and AI models. Ensure data quality and integrity throughout the data lifecycle. Monitor and troubleshoot data pipelines to ensure optimal performance. Stay up-to-date with the more »

with an emphasis on GCP and Terraform. Key projects will include collaborating with the Data Team to deliver new cloud capabilities across Machine Learning, AI, Data and Analytics and defining, building and implementing improvements to the GCP platform and Terraform codebase, supporting 150+ microservices, associated messaging and data store There more »