26 to 50 of 3,617 Artificial Intelligence Jobs in the UK

Ability to mentor and guide teams, fostering a culture of best practices in data architecture Power BI and DAX for data visualisation (desirable) Knowledge of Azure Machine Learning and AI services (desirable) Experience with streaming platforms like Event Hub or Kafka Familiarity with cloud cost optimisation techniques (desirable) What you'll get: Competitive salary and job-related benefits 25 days More ❯

models, to measuring impact using A/B testing. You will gain hands-on experience with leading technology, modern architecture, and the latest applications of machine learning and generative AI in production. What you’ll do: Work closely with stakeholders across the business to understand and propose improvements to existing process using new data sources and advanced machine learning techniques. More ❯

and training plans to ensure that you will continue to grow and develop your career at Hitachi. Job Description We are growing our consulting team and looking for Lead AI (Artificial Intelligence) Consultants to join us on our exciting journey and be part of the Hitachi Solutions family Key Accountabilities Accountable for providing hands-on technical knowledge, while … organizational standards. Key Responsibilities Capture client requirements and lead the development of solution architectures that meet both current and future business needs Provide expert advisory services to clients on AI best practices, ensuring delivery of scalable and efficient solutions. Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation. Define high-value business … scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments More ❯

Applied AI Engineer/Senior AI Engineer | £70k-£140k + Benefits + Shares | London (Hybrid, 3 Days/Week) Full Stack AI Engineer is required by a leading AI consultancy, one of only 4 businesses Globally who are partnered with OpenAI. Working at the forefront of Generative AI, this role is ideal for Applied AI Engineers who thrive in fast … paced environments and want to help shape the next generation of AI applications for well-known brands. From sports broadcasters to Tier 1 banks. What You'll Need: Proven ability to develop and deploy end-to-end, scalable AI solutions using Python programming Solid understanding of microservices architecture, CI/CD (Github Actions) and data pipelines powering AI-driven applications … fine-tuning, prompting, RAG and Agentic frameworks. Especially integration with the OpenAI API GPT, Gemini, LLama, Claude etc. Experience designing and implementing robust quality assurance/testing frameworks for AI performance Ability to collaborate with AI specialists, other AI software engineers, and product leaders to solve complex client challenges Strong software engineering foundation in Python, JavaScript/TypeScript, SQL , and More ❯

industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Senior AI Developer(Agentic Experience) Role Summary We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems that can reason, plan … and execute complex tasks. The ideal candidate will build production-grade AI solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize … Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance More ❯

industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Senior AI Developer(Agentic Experience) Role Summary We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems that can reason, plan … and execute complex tasks. The ideal candidate will build production-grade AI solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize … Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance More ❯

industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Senior AI Developer(Agentic Experience) Role Summary We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems that can reason, plan … and execute complex tasks. The ideal candidate will build production-grade AI solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize … Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance More ❯

industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Senior AI Developer(Agentic Experience) Role Summary We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems that can reason, plan … and execute complex tasks. The ideal candidate will build production-grade AI solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize … Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance More ❯

industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Senior AI Developer(Agentic Experience) Role Summary We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems that can reason, plan … and execute complex tasks. The ideal candidate will build production-grade AI solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize … Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance More ❯

as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient. We enable teams to solve … problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and "conventional" ML engineering for non-GenAI applications like recommender systems. This is a highly visible, hands-on engineering role with a strong focus on pragmatic, production-ready solutions that drive real business impact. This role and team collaborate … closely with the wider Data team (Data Science, Core Data Engineering) and the wider organisation (Technology, Legal, Information Security) to onboard/develop & scale AI applications. As AI & ML Engineer you will be responsible for The role covers the full AI/ML engineering lifecycle, from discovery to deployment and monitoring. Responsibilities include Partnering with stakeholders to scope problems and More ❯

innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a (Senior) AI Software Engineer you'll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You'll … well as leading conferences on behalf of BCG X. We are looking for talented individuals with a passion for software development, large-scale data analytics and transforming organizations into AI led innovative companies. Successful candidates possess the following: +4 years of experience in a technology consulting environment Apply software development practices and standards to develop robust and maintainable software Actively … s degree or PhD in relevant field of study - please provide all academic certificates showing the final grades (A-level, Bachelor, Master, PhD) Additional tasks: Designing and building data & AI platforms for our clients. Such platforms provide data and (Gen)AI capabilities to a wide variety of consumers and use cases across the client organization. Often part of large (AI More ❯

and hiring a few positions across Data Science, Machine Learning Engineering and Data Engineering. The company have an impressive founding team and hold a strong reputation within the Data & AI and Private Equity space. They partner with some leading investment firms in deploying AI and machine learning for the sole purpose of creating value. Often working in ambiguous and greenfield … teams that deliver value. The Role - Lead Data Scientist You will be: Working on multiple engagements within portfolio companies across various different industry sectors Delivering key Data Science/AI initiatives that drive value for customers. Shaping how projects are delivered, driving performance and working closely with C-level execs. Providing technical leadership across the business, with a focus on … Mandella at Harnham. KEYWORDS Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. More ❯

and hiring a few positions across Data Science, Machine Learning Engineering and Data Engineering. The company have an impressive founding team and hold a strong reputation within the Data & AI and Private Equity space. They partner with some leading investment firms in deploying AI and machine learning for the sole purpose of creating value. Often working in ambiguous and greenfield … teams that deliver value. The Role - Lead Data Scientist You will be: Working on multiple engagements within portfolio companies across various different industry sectors Delivering key Data Science/AI initiatives that drive value for customers. Shaping how projects are delivered, driving performance and working closely with C-level execs. Providing technical leadership across the business, with a focus on … Mandella at Harnham. KEYWORDS Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. More ❯

a talented and mission-driven Senior Data Engineer to design and maintain scalable data infrastructure for real-time, image-guided medical robotics applications. You will work hands-on with AI scientists, clinical and imaging specialists, building robust data pipelines that power AI workflows and integrate seamlessly with our robotic systems Key Responsibilities Design and implement scalable data pipelines for real … time and batch processing Build and maintain data lakes, warehouses, and streaming platforms Develop architectures that support AI workflows and integration with clinical/robotic software Data Operations and Quality Ensure reliability, scalability, and high performance of data systems Implement data versioning, lineage tracking, and reproducibility practices Define data engineering standards and best practices aligned with medical device requirements Monitor … Compliance & Governance Ensure compliance with healthcare data privacy regulations (GDPR, HIPAA) Follow medical device software standards (ISO 62304) Implement security, governance, and documentation for regulatory use Work closely with AI scientists, software engineers, and clinical experts to optimize data ingestion, transformation, and storage Translate functional requirements into efficient technical solutions Support analytics and deployment of ML models into production environments More ❯

The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career … journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights to clients … Lead data science product development start to end from PoC to full production Actively research, explore and identify the latest relevant techniques Identify opportunities for innovation across the Market Intelligence division and company-wide Provide subject matter expertise to internal stakeholders, advice and guide on model and data suitability Guide and mentor junior data scientists on technical subjects Requirements More ❯

The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career … journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights to clients … Lead data science product development start to end from PoC to full production Actively research, explore and identify the latest relevant techniques Identify opportunities for innovation across the Market Intelligence division and company-wide Provide subject matter expertise to internal stakeholders, advice and guide on model and data suitability Guide and mentor junior data scientists on technical subjects Requirements More ❯

Holding Company Limited The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using … About the team The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative More ❯

to engage deeply with MLOps, vector databases, and Retrieval-Augmented Generation (RAG) pipelines - skills that are in incredibly high demand. If you are passionate about shaping the future of AI and thrive on complex, high-impact challenges, we encourage you to apply. Responsibilities As a Senior Data Engineer for AI/ML, you will be the architect and builder of … and Build Scalable Data Pipelines: Architect, implement, and optimize robust, high-performance real-time and batch ETL pipelines to ingest, process, and transform massive datasets for LLMs and foundational AI models. Cloud-Native Innovation: Leverage your deep expertise across AWS, Azure, and/or GCP to build cloud-native data solutions, ensuring efficiency, scalability, and cost-effectiveness. Power Generative AI … Develop and manage specialized data flows for generative AI applications, including integrating with vector databases and constructing sophisticated RAG pipelines. Champion Data Governance & Ethical AI: Implement best practices for data quality, lineage, privacy, and security, ensuring our AI systems are developed and used responsibly and ethically. Tooling the Future: Get hands-on with cutting-edge technologies like Hugging Face, PyTorch More ❯

our talents more opportunities to grow and benefit from a richer learning experience. We call this Power of One. Powered by a 100,000-strong network via Marcel, our AI-based platform, we are also able to provide our clients and talents instant access to resource, knowledge for any need, any time, in any market. THE SPIRIT OF VIVA LA … and cost-efficient across cloud platforms Establish and enforce standards for model reproducibility, monitoring, documentation, and governance Act as a thought leader within the organization, staying current with emerging AI/ML technologies and evaluating their strategic value Qualifications Experience Extensive experience in data science, machine learning, or advanced analytics, ideally in a technical leadership role Proven expertise in Python … technical and non-technical teams Desirable skills Familiarity with real-time model serving, monitoring, and performance optimization Experience with LLM frameworks (e.g., LangChain, Hugging Face, Chroma, Mistral) and generative AI applications Domain expertise in areas like operations, personalization and marketing Passion for AI research, R&D, and exploring innovative applications of ML/AI within the business Additional Information Publicis More ❯

London - Lead Solutions Data Architect, Data Engineering Ekimetrics UK Job Description About Ekimetrics Ekimetrics is a leader in data science and AI, specialising in Marketing Effectiveness, Customer Analytics and business optimisation since 2006. We have pioneered the use of AI to drive sustainable growth, helping companies across industries like retail, banking, luxury fashion, insurance and many more to maximise their … data potential. Our goal: Combine high-impact AI and data science solutions for sustainable business performance. Our approach combines cutting-edge technology with a deep understanding of business challenges, ensuring that our solutions not only meet current needs but also pave the way for future innovations. At Ekimetrics, your work will directly contribute to shaping the future of data-driven … London and reporting to our Head of Data Engineering, you will lead large-scale digital transformations, building bespoke analytics solutions to answer clients' key questions, develop solutions around Geni AI, and consult on the findings, including high-profile presentations to our clients' senior executives. Job Responsibilities Data Architecture Lead assessments, strategies, and architecture recommendations. Own the full cycle of the More ❯

intelligent digital interaction across global brands The Role We are seeking an exceptional Staff Data Scientist who will architect and technically lead projects dedicated to pushing the boundaries of AI-driven digital experiences. In this pivotal role, you will guide the development of cutting-edge machine learning solutions that not only anticipate but actively shape how global brands engage, understand … Technologies We Work With:Python primarily, with bits and pieces of typescript and scalaGCP, AWS, Azure - in this order of relevanceGitHub, Docker, GitHub Actions, Terraform, KubernetesPandas, PySpark and SparkVertex AI, Azure OpenAI for LLMs Job Responsibilities Lead the execution of projects in a high-performing data science team, fostering professional growth and creating an inclusive and collaborative environment Architect and More ❯

of best practices/standards - Software delivery, including CI/CD and related DevSecOps practices, working with cloud-based platforms such as Azure or AWS (preferred) - Experience working on AI/Gen AI implementations and underlying architecture, and models - Application testing, automation and performance testing tools - Working knowledge of Agile Scrum Boston Consulting Group is an Equal Opportunity Employer. All More ❯

Nice-to-haves: Background in insurance or other regulated industries. Knowledge of GDPR, data privacy, and security practices. Familiarity with BI tools (e.g. Looker, Power BI) or ML/AI platforms. Package & Perks: Salary up to £110,000 + annual bonus . Hybrid working (South London office 1-3 days per week). 25 days holiday + bank holidays (with More ❯

as Spark, Kafka and Airflow to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that explore, capture, transform, and utilize data to support AI, ML, and BI Proficiency in data science languages/tools such as R, Python, SAS Awareness of ITIL (Incident, Change, Problem management) Diversity, Equity and Inclusion To attract the best More ❯

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who More ❯