{"id":2121159,"url":"https://alion.io/job/fujitsu-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":896,"name":"Fujitsu","domain":"fujitsu.com","url":"https://alion.io/company/fujitsu-poland-sp-z-o-o","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":94000,"max_usd":174000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":34},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Edge AI","optional":false},{"name":"GCP","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Dask","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-08T23:55:13Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-12T00:20:00Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"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.\nSenior AI Engineer\nWe 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.\nSenior AI Engineer\nUK: Travel May be required\nWork Your Way is our approach to flexible working - this is available from day 1 of joining and part-time hours will also be considered\nOur 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.\nYour role will involve\nAdvanced 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.\n\nSolution 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.\n\nClient 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.\n\nModel 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.\n\nTechnical 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.\n\nPerformance 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.\n\nStay Ahead of the Curve: Continuously evaluate new AI/ML technologies, frameworks, and research papers, integrating relevant advancements into our product development and client offerings.\n\nYour transferable skills and experience:\nPhD in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a closely related quantitative field.\n\nSignificant 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.\n\nExtensive, 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.\n\nProficiency in Python and strong experience with major AI/ML frameworks (e.g., TensorFlow, PyTorch, JAX, scikit-learn).\n\nProven 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.\n\nExceptional 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.\n\nStrong problem-solving abilities and the capacity to tackle ambiguous, open-ended research and engineering challenges.\n\nExperience with large-scale data processing technologies (e.g., Spark, Dask) and database systems.\n\nAbility to work independently and collaboratively in a dynamic, fast-paced environment.\n\nPlease 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.\nYour benefits:\n26 Days annual leave plus public holidays (3 flexible)\nPension - Double matching contributions of up to 10%\nLife assurance\nCompanywide incentive plans\nYour choices (Flexible benefits such as increased holidays/ travel/ dental critical illness and more)\nPerks at work - employee discounts\nEmployee assistance programme/ virtual GP\nRole dependent benefits: Private medical/ company car or car allowance\nRecruitment process\nThe recruitment process consists of two stages of interviews\nWe are a Disability Confident Employer and will offer an interview to disabled applicants who meet the minimum/essential criteria for the role. Email  if you would like to apply through the Disability Confident Interview Scheme.\nAchieve together\nWe 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.\nWe 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.\n#LifeAtFujitsu\n#Europe_Priority\nAt Fujitsu, we are committed to an inclusive recruitment process that values the diverse backgrounds and experiences of all applicants. 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