What We Are Looking For:

Education: Bachelor’s Degree or higher in Computer Science, Data Science, Mathematics, Artificial Intelligence or related field. 

• Substantial professional experience in designing and implementing analytics/AI systems for R&D or commercial applications. Industry, product or commercial application experience is preferred. 

• Hands-on experience in the application of AI, data science, ML/DL and other data modelling techniques to real-world problems.  

• Experience working with large language models (LLMs) and other natural language processing (NLP) technologies and techniques, and strong programming skills in Python.  

• Exposure to benchmarking new AI models and open-source frameworks, and familiarity with prompt/context engineering and related concepts. 

• Exposure to deploying and managing AI/ML models using cloud-native platforms such as Azure Machine Learning, AWS SageMaker, or Google Vertex AI is desirable.  

• Ability to work in situations with uncertainty and ambiguity, showing a positive and proactive attitude.  

Bonus Points For:

• Exposure to different types of data storage technology (e.g., relational, document, knowledge graph), and vector databases for RAG etc.  

• Knowledge of data security and data privacy principles and regulations.  

• Familiarity with modern data engineering and processing tools such as Databricks, Apache Beam, or cloud-native data pipelines is a plus.  

• Basic understanding of containerisation (Docker/Kubernetes), CI/CD pipelines, and MLOps tools (e.g., MLflow, Kubeflow) is helpful.  

• Exposure to building and integrating RESTful APIs (e.g., FastAPI) to serve models and connect AI components to enterprise applications is a plus.  

• Experience in version control and standard SDLC practices such as GIT, branches, pull requests, code reviews, unit testing.  

• Ability to leverage AI in your own ways of working, e.g. a structured approach to AI-assisted software development such as familiarity with GitHub Copilot or related tools. 

• Ability to rapidly prototype AI solutions, translating ideas into functional models and applications using frameworks, APIs, and cloud services for quick validation.  

• Experience with agile development on multi-disciplinary project teams with distributed stakeholders.  

• Experience working in a collaborative team environment.  

• Strong communication skills, with the ability to explain technical concepts to non-technical audiences.  

• Willingness to support and learn from more experienced team members.  

• Experience working in a large organisation is a plus. 

We don’t expect you to tick every box. If you have solid AI/ML experience and are excited to learn and grow in a collaborative, innovation-driven environment, we’d love to hear from you.

What does Accenture, The Dock offer you? 

Working at Accenture means joining a company that prides itself on being Truly Human. In addition to a competitive base salary, you’ll also have an extensive benefits package that includes:  

• Pension contributions  

• Private health insurance  

• Employee share scheme  

• Discounted gym membership  

• Emergency caring facilities  

• 2 days’ leave per year for charitable work of your choice  

• Professional membership  

• Community events 

Please note that with all our roles, you should expect some in-person time for collaboration, learning and building relationships with client, peers, leaders and communities. As an employer, we will be flexible as soon as possible to support your specific work/life needs. 

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Requesting an Accommodation

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If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

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We 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, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

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Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. 

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

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We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

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