Senior AI Engineer
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 8, 2026.
At Fujitsu, we've been driven to create a sustainable world through innovation since 1935. Today, we lead in digital transformation globally with our 130,000 employees across 50+ countries. We empower our diverse community to achieve greatness through career development and opportunities. Explore our internal positions and join us in shaping a brighter future. Thank you for being a part of Fujitsu. We look forward to growing together toward a brighter future.
Senior AI Engineer
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.
Senior AI Engineer
UK: Travel May be required
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.
Your transferable skills and experience:
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.
Your benefits:
26 Days annual leave plus public holidays (3 flexible)
Pension - Double matching contributions of up to 10%
Life assurance
Companywide incentive plans
Your choices (Flexible benefits such as increased holidays/ travel/ dental critical illness and more)
Perks at work - employee discounts
Employee assistance programme/ virtual GP
Role dependent benefits: Private medical/ company car or car allowance
Recruitment process
The recruitment process consists of two stages of interviews
We are a Disability Confident Employer and will offer an interview to disabled applicants who meet the minimum/essential criteria for the role. Email [email protected] if you would like to apply through the Disability Confident Interview Scheme.
Achieve together
We are recognised as a responsible and inclusive employer: Not only are we a certified Disability Confident Leader, a Times Top 50 employer for Gender Equality, a Top 75 employer for Social Mobility, accredited with the Living Wage Foundation and a signatory for the Race at Work Charter, but we are also committed to the United Nations standards for LGBTI+ and a Stonewall Top 100 Employer.
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.
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At Fujitsu, we are committed to an inclusive recruitment process that values the diverse backgrounds and experiences of all applicants. We believe that hiring people from a wide variety of backgrounds makes us stronger, not because it's the right thing to do, but because it allows us to draw on a wider range of perspectives and life experiences.