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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** Fujitsu - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Big Data, Cloud Computing, Databases, Python (Programming Language), Machine Learning, Natural Language Processing, Performance Tuning, Tensorflow, Systems Integration, Reinforcement Learning, Google Cloud, Pytorch, Apache Spark, Deep Learning, Scikit Learn, Information Technology, Dask, Machine Learning Operations, Unsupervised Learning - **Published:** September 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=aba0b2cfe1ded0bb ## About the Role We are seeking an exceptional and highly experienced Senior AI Engineer to bridge the gap between advanced AI research and impactful client solutions. This role is ideal for a candidate with a deep, PhD-level understanding of AI/ML, agent base modelling, and simulation, coupled with a proven ability to translate complex models into production-ready systems that deliver tangible value to clients. You will not only advance our internal AI capabilities but also be a key technical voice in client engagements, ensuring our innovative solutions are accessible, reliable, and meet real-world needs., * PhD in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a closely related quantitative field. * Significant hands-on experience in AI/ML engineering or research, with a significant portion dedicated to deploying AI solutions in production environments and/or client-facing roles. * Extensive, demonstrable expertise in core AI/ML concepts and algorithms, including but not limited to deep learning, supervised/unsupervised learning, reinforcement learning, classical ML, natural language processing, computer vision, etc. * Proficiency in Python and strong experience with major AI/ML frameworks (e.g., TensorFlow, PyTorch, JAX, scikit-learn). * Proven track record of designing, building, and deploying scalable AI solutions in a cloud environment (e.g., AWS, GCP, Azure). Experience with MLOps tools and practices is highly desirable. * Exceptional communication skills, both written and verbal, with the ability to articulate complex technical concepts to both technical and non-technical audiences, including senior client stakeholders. * Strong problem-solving abilities and the capacity to tackle ambiguous, open-ended research and engineering challenges. * Experience with large-scale data processing technologies (e.g., Spark, Dask) and database systems. * Ability to work independently and collaboratively in a dynamic, fast-paced environment. Please note: It's still worth applying even if you do not meet all the requirements above. We are passionate about investing in you and your career and if you have the transferable skills/ background in AI innovation, this could be the next opportunity for you. ## Description Work Your Way is our approach to flexible working - this is available from day 1 of joining and part-time hours will also be considered Our purpose is to make the world more sustainable by building trust in society through innovation. As a Principal AI Engineer, you will contribute to this by applying your AI expertise to enable societal system transformation. Your role will involve * Advanced AI development: Lead the design, development and implementation of cutting-edge AI/ML models and algorithms, taking the R&D technologies into market to meet clients' needs. * Solution Architect & Prototyper: Translate complex client problems and business requirements into actionable AI/ML solutions. Design, prototype, and build robust, scalable, and production-ready AI systems and services that can be deployed for clients. * Client Engagement & Communication: Serve as a primary technical expert in client discussions, translating complex AI concepts into clear, understandable language for non-technical stakeholders. Understand client needs, gather requirements, and present innovative solutions and their potential impact. * Model Deployment & MLOps: Oversee the lifecycle of AI/ML models from experimentation to deployment and monitoring in production environments. Implement and advocate for best practices in MLOps, ensuring reliability, scalability, and maintainability of our AI solutions. * Technical Leadership & Mentorship: Provide technical leadership, guidance, and mentorship to junior AI engineers and data scientists. Drive continuous improvement in our AI engineering practices, toolsets, and methodologies. * Performance Optimization & Scalability: Optimize AI models and infrastructure for performance, efficiency, and scalability, ensuring our solutions can handle large datasets and high-throughput demands for client applications. * Stay Ahead of the Curve: Continuously evaluate new AI/ML technologies, frameworks, and research papers, integrating relevant advancements into our product development and client offerings., We are people centric: Our work environments enable you to Be Completely You. Our active people-led Inclusive Community networks are representative of all aspects of diversity and are instrumental in enabling and supporting our innovative approach to inclusion.