126 to 150 of 10,457 Artificial Intelligence Jobs in England

Are you passionate about AI systems design and enterprise architecture? We have an exciting role for you – Enterprise Architect, Agentic AI Implementation! Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and … stakeholders. Gain access to endless learning opportunities. Work closely with the range of teams within the business to bring products to life. The Role As an Enterprise Architect, Agentic AI Implementation , you will serve as a strategic leader responsible for defining and implementing enterprise-wide architecture for autonomous AI agents and Generative AI solutions. This role demands deep expertise in … enterprise architecture, AI systems design, and cloud-native platforms, specifically Microsoft Azure, leveraging services such as Azure AI Studio/Foundry, Azure OpenAI, and Databricks. You will collaborate closely with C-suite executives, Directors, business and technology stakeholders, data scientists, and engineering teams to ensure AI initiatives are scalable, secure, ethically sound, and aligned with the client’s core mission More ❯

Are you passionate about AI systems design and enterprise architecture?Want to make an application Make sure your CV is up to date, then read the following job specs carefully before applying. We have an exciting role for you – Enterprise Architect, Agentic AI Implementation! Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. … stakeholders. Gain access to endless learning opportunities. Work closely with the range of teams within the business to bring products to life. The Role As an Enterprise Architect, Agentic AI Implementation, you will serve as a strategic leader responsible for defining and implementing enterprise-wide architecture for autonomous AI agents and Generative AI solutions. This role demands deep expertise in … enterprise architecture, AI systems design, and cloud-native platforms, specifically Microsoft Azure, leveraging services such as Azure AI Studio/Foundry, Azure OpenAI, and Databricks. You will collaborate closely with C-suite executives, Directors, business and technology stakeholders, data scientists, and engineering teams to ensure AI initiatives are scalable, secure, ethically sound, and aligned with the client's core mission More ❯

or call TCS London Office number 02031552100/+44 204 520 2575 with the subject line: “Application Support Request”. Are you looking to leverage your expertise in agentic AI architecture and development? We have a great opportunity for you – Lead Engineer – Agentic AI! Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. … Class Innovative, Interactive Digital Experiences across all channels, for our customers, and establish TCS as #1 leader in the Digital Interactive space. Lead the design and deployment of agentic AI systems that automate complex enterprise workflows. Integrate data, platforms, and AI models to deliver scalable, intelligent solutions across business domains. Architect secure, cloud-native frameworks that enable autonomous decision-making … and seamless system interoperability. The Role As a Lead Engineer – Agentic AI , you will lead the architecture, development, and deployment of next-generation agentic AI systems designed to transform enterprise operations. These intelligent agents will autonomously orchestrate workflows, analyze real-time data, and embed decision-making across domains such as finance, sales, and operations. You will guide cross-functional teams More ❯

or call TCS London Office number 02031552100/+44 204 520 2575 with the subject line: “Application Support Request”. Are you looking to leverage your expertise in agentic AI architecture and development? We have a great opportunity for you – Lead Engineer – Agentic AI! Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. … Class Innovative, Interactive Digital Experiences across all channels, for our customers, and establish TCS as #1 leader in the Digital Interactive space. Lead the design and deployment of agentic AI systems that automate complex enterprise workflows. Integrate data, platforms, and AI models to deliver scalable, intelligent solutions across business domains. Architect secure, cloud-native frameworks that enable autonomous decision-making … and seamless system interoperability. The Role As a Lead Engineer – Agentic AI , you will lead the architecture, development, and deployment of next-generation agentic AI systems designed to transform enterprise operations. These intelligent agents will autonomously orchestrate workflows, analyze real-time data, and embed decision-making across domains such as finance, sales, and operations. You will guide cross-functional teams More ❯

Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities … to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs … Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills More ❯

Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities … to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs … Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills More ❯

Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities … to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs … Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills More ❯

Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities … to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs … Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills More ❯

Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities … to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs … Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills More ❯

Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities … to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs … Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills More ❯

Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities … to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs … Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills More ❯

Junior AI Engineer – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is … an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be … Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers More ❯

Junior AI Engineer – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is … an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be … Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers More ❯

Junior AI Engineer – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is … an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be … Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers More ❯

Junior AI Engineer – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is … an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be … Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers More ❯

Junior AI Engineer – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is … an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be … Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers More ❯

Junior AI Engineer – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is … an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be … Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers More ❯

Junior AI Engineer – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is … an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be … Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers More ❯

the world of banking and society. THE ROLE We are seeking a visionary and hands on Principal Data Scientist to lead the design, development, and deployment of cutting edge AI/ML solutions across our Banking AI portfolio. This role is central to Temenos' AI strategy, delivering responsible, high impact models that transform how banks operate and serve their customers. … You will work closely with product managers, engineers, and domain experts to build scalable, ethical, and high performing AI systems. You will also mentor data scientists, contribute to AI governance, and drive innovation in areas such as GenAI, LLMs, and predictive analytics. OPPORTUNITIES AI Strategy & Innovation Lead research and prototyping of novel AI techniques, including GenAI and LLMs, for banking … use cases. Define and drive the AI/ML roadmap in alignment with product and business goals. Champion responsible AI practices, ensuring fairness, transparency, and compliance. Model Development & Deployment Design, build, and deploy production grade AI/ML models for banking, across retail, risk and compliance, payments, wealth. Collaborate with engineering and design to integrate models into scalable, cloud native More ❯

engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will … CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct, and uphold resilient machine learning operations (MLOps) pipelines that facilitate the complete lifecycle of AI models-from creation to implementation and supervision. Guarantee the successful deployment of machine learning and large language models (LLMs) in practical operational settings, transforming research findings into functional business tools. … focused models, as requested by R&D teams. Develop standardized, reusable workflows that can be applied across different projects and scientific areas. Collaborate with scientists and engineers to incorporate AI solutions into daily R&D tasks. Implement tools for version control, testing, and continuous integration to ensure quality, security, and traceability of AI solutions. Develop automated reporting systems that make More ❯

Machine Learning Engineer | Generative AI | AWS | End-to-End ML Solutions Location: London-based | Hybrid Please note: Sponsorship is not offered for this position We’re working with a leading organisation on a mission to become one of the most insight-driven businesses in its sector, placing machine learning and generative AI at the core of customer experiences, operational optimisation … initiatives such as customer engagement, automated insights, and decision-support tooling. You’ll also contribute to shaping the frameworks, infrastructure, and shared tooling that enable safe, responsible, and efficient AI experimentation and deployment. If you’re passionate about problem-solving, applying ML to real-world challenges, and bringing ideas to life in production environments, this role is a great fit. … ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform. Support and develop monitoring dashboards for key ML and AI services. Ensure cloud-native, secure, and cost-efficient deployments in AWS environments. Contribute to the development of shared platforms and tooling that enable model deployment and experimentation. Compliance Adhere to More ❯

Machine Learning Engineer | Generative AI | AWS | End-to-End ML Solutions Location: London-based | Hybrid Please note: Sponsorship is not offered for this position We’re working with a leading organisation on a mission to become one of the most insight-driven businesses in its sector, placing machine learning and generative AI at the core of customer experiences, operational optimisation … initiatives such as customer engagement, automated insights, and decision-support tooling. You’ll also contribute to shaping the frameworks, infrastructure, and shared tooling that enable safe, responsible, and efficient AI experimentation and deployment. If you’re passionate about problem-solving, applying ML to real-world challenges, and bringing ideas to life in production environments, this role is a great fit. … ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform. Support and develop monitoring dashboards for key ML and AI services. Ensure cloud-native, secure, and cost-efficient deployments in AWS environments. Contribute to the development of shared platforms and tooling that enable model deployment and experimentation. Compliance Adhere to More ❯

Machine Learning Engineer | Generative AI | AWS | End-to-End ML Solutions Location: London-based | Hybrid Please note: Sponsorship is not offered for this position We’re working with a leading organisation on a mission to become one of the most insight-driven businesses in its sector, placing machine learning and generative AI at the core of customer experiences, operational optimisation … initiatives such as customer engagement, automated insights, and decision-support tooling. You’ll also contribute to shaping the frameworks, infrastructure, and shared tooling that enable safe, responsible, and efficient AI experimentation and deployment. If you’re passionate about problem-solving, applying ML to real-world challenges, and bringing ideas to life in production environments, this role is a great fit. … ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform. Support and develop monitoring dashboards for key ML and AI services. Ensure cloud-native, secure, and cost-efficient deployments in AWS environments. Contribute to the development of shared platforms and tooling that enable model deployment and experimentation. Compliance Adhere to More ❯

Machine Learning Engineer | Generative AI | AWS | End-to-End ML Solutions Location: London-based | Hybrid Please note: Sponsorship is not offered for this position We’re working with a leading organisation on a mission to become one of the most insight-driven businesses in its sector, placing machine learning and generative AI at the core of customer experiences, operational optimisation … initiatives such as customer engagement, automated insights, and decision-support tooling. You’ll also contribute to shaping the frameworks, infrastructure, and shared tooling that enable safe, responsible, and efficient AI experimentation and deployment. If you’re passionate about problem-solving, applying ML to real-world challenges, and bringing ideas to life in production environments, this role is a great fit. … ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform. Support and develop monitoring dashboards for key ML and AI services. Ensure cloud-native, secure, and cost-efficient deployments in AWS environments. Contribute to the development of shared platforms and tooling that enable model deployment and experimentation. Compliance Adhere to More ❯

Machine Learning Engineer | Generative AI | AWS | End-to-End ML Solutions Location: London-based | Hybrid Please note: Sponsorship is not offered for this position We’re working with a leading organisation on a mission to become one of the most insight-driven businesses in its sector, placing machine learning and generative AI at the core of customer experiences, operational optimisation … initiatives such as customer engagement, automated insights, and decision-support tooling. You’ll also contribute to shaping the frameworks, infrastructure, and shared tooling that enable safe, responsible, and efficient AI experimentation and deployment. If you’re passionate about problem-solving, applying ML to real-world challenges, and bringing ideas to life in production environments, this role is a great fit. … ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform. Support and develop monitoring dashboards for key ML and AI services. Ensure cloud-native, secure, and cost-efficient deployments in AWS environments. Contribute to the development of shared platforms and tooling that enable model deployment and experimentation. Compliance Adhere to More ❯