176 to 200 of 6,195 Artificial Intelligence Jobs in the UK

value from our platform. Acting as a trusted advisor, you'll support customers in reaching their goals and maximizing Taktile's impact. If you're passionate about tech and AI, and have extensive experience with Python, SQL, and REST APIs, you'll thrive here. This role is also open to fresh graduates. What You'll do as Lead Forward Deployed … to stable production. Apply technical expertise, problem-solving skills and creativity to help organizations address real-world challenges. Your day could include designing solution architectures, developing decision logic or AI agents, or aligning with key customer stakeholders-all while ensuring an outstanding experience and rapid time to value for Taktile's customers. Effectively scope work, sequence delivery, and proactively remove … You have 6+ years of experience as a Forward Deployed Engineer, Solution Engineer, Implementation Specialist or an equivalent position within a B2B SaaS company. You have experience in building AI applications. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS More ❯

scale for thousands of customers. We utilize a range of algorithms and methods to do this including: Bayesian statistics and supervised learning to model conversion rates and revenue Scaled AI/ML with Tensorflow/Vertex AI to model a travelers propensity to book Time series forecasting As a part of the Science and Optimization team, we deliver through the … production development to A/B testing and measurement. This provides each team member the opportunity to gain additional experience with a range of technologies such as Tensorflow, Vertex AI, Docker and the Google Cloud Platform. Note that this role requires availability to work later business hours, with a regular schedule ending at 7:00 PM Mon-Thu. What you More ❯

tools such as Datadog Hands-on experience in test artefact creation, Test management and Defect Management testing tools Specific training or certifications in Quality Assurance is preferred Experience validating AI/ML data pipelines, models, and/or AI-augmented data solutions. Strong analytical and problem-solving skills with attention to detail. Boston Consulting Group is an Equal Opportunity Employer. More ❯

architecture to strengthen defence -in-depth strategies. Design and deploy Web Application Firewalls (WAFs) and security controls to protect modern applications from threats and vulnerabilities. Guide the integration of AI and analytics into security operations working with data scientists and AI engineers. Mentor and coach engineers, fostering a high-performing, inclusive, and growth-oriented team culture. WHAT YOU'LL NEED More ❯

new ideas, identifying performance improvements and control gaps, specifying, developing, back testing and prototyping quant models, performing liquidity analysis and provisioning, working Develop and execute robust validation framework for AI/ML models, including generative AI, nature language processing and deep learning models. 5+ years of experience in quantitative analytics includi We are looking for an experienced quantitative analyst with More ❯

Collaborate with Business Relationship Managers and Solution Designers to develop practical solutions. DevOps Methodologies: Utilise modern DevOps practices to enhance efficiency and productivity. Technology Trends: Leverage emerging technologies in AI, machine learning and data science for professional services. You'll be someone with: Python Expertise: Deep knowledge of Python and its ecosystem for complex applications. Cloud Deployment: Experience with cloud … native applications on Azure and deployment of Python applications on Azure. AI Frameworks and Tools: Familiarity with frameworks and tools such as LangChain, LlamaIndex, CrewAI, Semantic Kernel, Autogen and Agno. An understanding of how Large Language Models (LLMs) work. Data Engineering & Modelling: Understanding of ORM/entity relationships, NoSQL, JSON, XML, SQL and exposure to data visualisation tools (ETL/ More ❯

to adoption. Innovation & Evolution: Stay up to date with Azure capabilities, contribute to capability assessments, and actively suggest improvements or new services that align with company strategy (e.g., enabling AI/ML or hybrid connectivity). Core Skills & Experience 2-4 years hands-on experience with Azure cloud environments in production. Strong experience with: Terraform CI/CD tooling (GitLab … integration or restricted networks) Awareness of enterprise controls (NCSC/Cyber Essentials, NIST, or similar frameworks) Understanding of cloud cost optimisation and FinOps practices Familiarity with supporting data/AI pipelines or platform integrations (e.g., Azure Data Factory, Databricks, OpenAI) Exposure to other cloud environments (AWS, Google Cloud) Behaviours Proactive problem-solver who balances pragmatism with long-term maintainability Comfortable More ❯

in the portfolio. You will optimize against many requirements such as functional needs, quality attributes (e.g., security, usability), cost, sustainability, and enterprise-wide goals (e.g., cloud and API enablement,ai). You document architecture views and deliver architecture artefacts required by the delivery process and enable teams to maximize automation in the CI/CD pipeline. Moreover, you will be … Microservices architecture implementation using REST APIs, queue-based messaging patterns, relational and NoSQL databases Working knowledge of Machine learning model integration and MLOps pipelines. Working knowledge of orchestration for AI services. Working knowledge of on-premises/cloud-based infrastructures, SDLC pipelines, and deployments/configurations and definition/evangelism of best practices/standards Proven advanced experience with systems More ❯

analyses to appropriate audiences, demonstrating in-depth subject knowledge and confidence in conclusions. Ensure data science projects and models comply with all governance and regulatory requirements (e.g. GDPR, EU AI Act) and are supported by clear, comprehensive documentation. About you: Significant data science experience preferably within financial services, ideally in general insurance. Experience applying machine learning and AI techniques to More ❯

Champion data quality, governance, and security across platforms. Collaborate with analysts, data scientists, and teams in underwriting, finance, and operations. Contribute to solution design, platform evolution, and ML/AI integration. Support delivery of data products, APIs, and interactive dashboards. What You Bring: Strong hands-on experience with Azure data tools (ADF, Databricks, Synapse, Storage, DevOps). Proven background in More ❯

behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to More ❯

business performance Transforming organisations and develop future sport leaders Driving increased and more effective funding into sport Achieving lasting positive change in society Overview 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 ❯

business performance Transforming organisations and develop future sport leaders Driving increased and more effective funding into sport Achieving lasting positive change in society Overview 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 ❯

decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to identify opportunities and translate More ❯

decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to identify opportunities and translate More ❯

this year, starting with making sure supplier catalogue data works well with new search features, helping users find the right products faster. We'll be exploring tools such as AI based categorisation models and vector search to exploit the market leading data sets which we maintain. Role Profile Have experience with large-scale data processing and search technologies. An expert More ❯

cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. The Dynatrace platform uses cutting-edge technologies, including our own Davis hypermodal AI, to help our customers modernize and automate cloud operations, deliver software faster and more securely, and enable flawless digital experiences. Over 50% of the Fortune 100 companies are current customers More ❯

Our client is leveraging AI-powered technology to break down the barriers to fair and profitable trade in emerging markets. Our clients Intelligent Open Commerce Platform connects FMCG Brands, Distributors, and Local Merchants on a single, equitable marketplace, empowering them with real-world insights and data to help them make better decisions. It enables FMCG Brands to seize new opportunities More ❯

and workplace technologies such as Microsoft 365, Azure, AWS, and Google Cloud Platform. Translate technical concepts into business-aligned language for non-technical stakeholders. Advise on emerging technologies like AI and machine learning, and how these can support client objectives. Help clients define and manage IT budgets, including cost-benefit analysis and ROI evaluation of IT investments. Service & Project Oversight More ❯

operational, and strategic decisions makers across the business. You will apply the appropriate solution to the problem at hand. This could be advanced statistical techniques (Hierarchical Bayesian modelling, GAMs), AI and machine learning techniques (LLMs, neural networks) or simple arithmetic. The key is to deliver useful and timely information for the benefit of Cox Automotive Europe and the broader automotive More ❯

Marketing organization. In this high-impact role, you will manage a team of product managers focused on driving organic traffic acquisition across traditional search engines and emerging answer engines (AI search). Your work will shape how millions of travelers discover Expedia Group brands, leveraging deep search expertise, scalable content solutions, and platform capabilities to improve performance and relevance. You More ❯

enable search and insight generation. A search and reporting system backed by an ElasticSearch cluster. A custom workflow tool using Camunda, with a React/TS front-end An AI assurance capability Orchestrating a data pipeline and designing specialist metrics for the evaluation of the performance of LLMs in different contexts. Trials test databases and reporting tools using technologies such More ❯

stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯