{"id":3264708,"url":"https://alion.io/job/accenture-aiml-engineer-consultant-level","title":"AI/ML Engineer - Consultant Level","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2088,"ghost_share":0.001,"stale_share":0.143,"repost_share":0.006,"time_to_fill_p50_days":5,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":99000,"max_usd":212000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Context Engineering","optional":true},{"name":"Copilot","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"Git","optional":true},{"name":"Hadoop","optional":true},{"name":"Kubeflow","optional":true},{"name":"Kubernetes","optional":true},{"name":"MLFlow","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"Rest API","optional":true},{"name":"Spark","optional":true},{"name":"SQLAlchemy","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-29T03:56:50Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"AI/ML Engineer - Consultant Level\nAbout The Dock\nThe Dock is Accenture’s flagship R&D and Global Innovation Center, based in Dublin’s Grand Canal Dock. As an incubation hub for the next generation of AI and GenAI agentic solutions, The Dock brings together a global community of business strategists, designers, engineers, data scientists and entrepreneurs.\nOur mission is to solve some of the world’s hardest problems and create transformational products and services that help industries thrive in the face of unprecedented change. From shaping the future of work with intelligent systems to building breakthrough digital platforms, our team operates across the innovation spectrum, from exploration to real-world deployment.\nAt The Dock, we experiment boldly, collaborate openly and build the future in real time.\nAbout the role\nAs an AI/ML Engineer at Consultant level, you will contribute to the design, development and deployment of advanced artificial intelligence and machine learning models that address complex business problems.\nYou will guide important aspects of the model lifecycle, including data acquisition, preprocessing, feature engineering, training, optimisation and model benchmarking. You will also collaborate with scale teams on deployment, production monitoring and lifecycle management.\nWorking across disciplines, you will partner with designers, engineers, product managers and business stakeholders to translate requirements into robust, scalable and efficient AI solutions that deliver tangible value.\nYou will stay current with developments in AI research and technology, applying relevant advances to rapid prototypes, products and services. You will also mentor and coach junior engineers, promote technical excellence, and champion responsible AI, data privacy and secure engineering practices.\nEducation\nBachelor’s degree or higher in Computer Science, Data Science, Mathematics, Artificial Intelligence or a related field.\nCore experience and skills\nSubstantial professional experience designing and implementing analytics or AI systems for R&D, product or commercial applications. Approximately five years of relevant professional experience is desirable, with capability and delivery evidence taking priority.\nDeep hands-on experience applying AI, data science, machine learning, deep learning and data-modelling techniques to real-world problems.\nStrong experience with large language models and natural language processing technologies.\nAdvanced programming proficiency in Python.\nProficiency in prompt and context engineering.\nExperience benchmarking new AI models and open-source frameworks.\nAbility to navigate uncertainty and ambiguity with a proactive, solutions-focused mindset.\nExposure to cloud-native AI platforms such as Azure Machine Learning, AWS SageMaker or Google Vertex AI. Hands-on experience operationalising models at scale is strongly preferred.\nExperience in collaborative, multidisciplinary and agile teams with distributed stakeholders.\nStrong communication skills and the ability to explain complex technical concepts to non-technical business stakeholders.\nExperience mentoring, coaching or leading junior team members.\nAdditional experience that would strengthen a candidate\nExperience with relational, document and knowledge-graph data stores, plus vector databases for retrieval-augmented generation solutions; SQLAlchemy is a plus.\nKnowledge of data-security and data-privacy principles and regulations.\nFamiliarity with Databricks, Apache Beam or cloud-native data pipelines; Hadoop or Spark is a nice-to-have.\nUnderstanding of Docker, Kubernetes, CI/CD and MLOps tools such as MLflow or Kubeflow.\nExperience building and integrating secure RESTful APIs, for example with FastAPI.\nExperience with Git, branching strategies, pull requests, code reviews and unit testing.\nAbility to rapidly prototype AI solutions using frameworks, APIs and cloud services for validation.\nExperience working in a large, matrixed organisation.\nA structured approach to AI-assisted software development using GitHub Copilot or similar tools.\nWhat Accenture and The Dock offer\nWorking at Accenture means joining a company that prides itself on being Truly Human. In addition to a competitive base salary, the supplied job descriptions list the following benefits:\nPension contributions\nPrivate health insurance\nEmployee share scheme\nDiscounted gym membership\nEmergency caring facilities\nTwo days’ leave per year for charitable work of your choice\nProfessional membership\nCommunity events\nWith all roles, candidates should expect some in-person time for collaboration, learning and building relationships with clients, peers, leaders and communities. Accenture will seek to support specific work/life needs with flexibility where possible.\nAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. 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