1 to 25 of 39 Artificial Intelligence Jobs in Central London

Title:Senior Content Manager - Artificial intelligence/Ai Location: London Salary: £60k - £80k plus benefits Team: Content Executive Hybrid Working: 3 days in office, 2 days working from home ** Must have the necessary right to live and work in the UK** Are you a Senior Content Manager/… background looking to take on a new challenge and lead content marketing? Have you got experience creating content for SaaS, Fintech, Big Data or AI products? Are you looking for a role that you can build a team around? Then this role could be for you! Im working with an … AI-focused tech companybased in London who is looking to add a Senior Content Manager/Head of Content to lead content for the company , this is a new addition to the team. As the company has grown into a global player in the AI space they have decided to 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 »

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 »

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 »

have a strong track record of developing new business and delivering innovative recruitment solutions. We are seeking bright individuals who have the aptitude and intelligence to get to grips with our environment. As well as hardworking and enthusiastic people who have a strong entrepreneurial streak. We are looking to … Java, J2EE, Mobile, iOS, Android, Open Source, Front End, UI, UX, SQL Server, Oracle, Testing, Infrastructure, Support, ERP, SAP, Microsoft Dynamics, Salesforce, Data Science, AI, Artificial Intelligence, Cyber Security, Business Analyst, Project Manager, I.T. Recruitment Consultant) NOIRINTERNALREC more »

Business Analysts. Work closely with senior development and DevOps team members to architect optimal solutions for data processing and platform delivery. Integrate and adopt AI/ML tools in collaboration with Data Science and Data Engineering teams. Mentor junior team members and review code outputs to ensure quality and adherence more »

be a bonus Strengths in requirements gathering and process mapping Proficiency in leading both formal and informal training sessions and workshops Awareness of business intelligence and artificial intelligence tools such as Power BI, SQL Server Reporting Services (SSRS), and Copilot would be a plus Company benefits include more »

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 »

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, but the backend side is critical. They are constantly innovating, one of their most recent MVP's is a state of the art AI solution! The salary for this Lead Full Stack Engineer ranges upto £100,000 + 20% worth of stock options (they plan to 10x the value more »

through the entire process of business transformation with data driven methodology. The analytics platform being developed is highly unique and uses a mixture of artificial intelligence, analytics and highly graphically rich technologies such as D3.js. For this reason we are looking for a highly passionate, motivated and experienced 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 »

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 bring experience in transformation through technology and optimize the way clients operate. Comfortable at working in a technology-driven 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 »

and engineering this global software house has become the go to people to solve a variety of complex technical problems in the world of artificial intelligence. Now is the time to consider joining them! The type of individuals that we would like to speak with have analytical mindsets and … find solutions for clients. And much more! We think this is an exciting opportunity for someone who wants to work for an award winning artificial intelligence and machine learning tech company but is not looking for a full on technical role and more interested in the client side 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 »

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 »

Tremendous opportunity offering plenty of scope for career progression in a friendly, innovative environment where youll be able significant contributions to the field of AI and applied category theory! Apply now for FULL details 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 »

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 »

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 »

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 »

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 »

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 »

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 »