AI Engineer job opportunity at DXC Technology.



DatePosted 13 Days Ago bot
DXC Technology AI Engineer
Experience: General
Pattern: full-time
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loacation GBR - NBL - NEWCASTLE, United Kingdom
loacation GBR - NBL - NE..........United Kingdom

Job Description: AI Engineer Location  – Erskine, Newcastle, Farnborough or London Candidates are required to be eligible for clearance DXC Technology (DXC: NYSE) is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries.  The company’s technology independence, global talent, and extensive partner network combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. We’re looking for a talented and forward-thinking AI Engineer to join our innovative team. This is a unique opportunity to work on cutting-edge AI technologies and contribute to transformative projects across multiple domains. In this role, you’ll help design and build modern data pipelines that bring together information from a variety of systems—making data accessible, trustworthy, and ready for intelligent analytics and AI solutions. You will collaborate closely with teammates across disciplines and have the opportunity to learn from experienced engineers and leaders. Key responsibilities include: Supporting and contributing to data engineering projects, helping ensure delivery within scope and timelines. Working alongside supportive team members to develop and maintain data pipelines and infrastructure. Partnering with cross‑functional teams to understand data needs and shape solutions. Contributing to data quality, governance, and security initiatives. Learning directly from specialists in AI and data engineering. Helping to continuously improve and optimise data processes. Staying current with emerging tools, trends, and technologies. Contributing to a collaborative, inclusive, and growth‑focused team culture. What you’ll bring A Bachelor’s degree in a relevant field or equivalent experience. Experience with modern data engineering tools and technologies. A growth mindset and passion for continuous learning. Understanding and hands‑on experience with Transformer models and LLMs (e.g., GPT, LLaMA, Mistral, Claude). Skills in fine‑tuning, prompt engineering, and building RAG pipelines. Familiarity with Agent Frameworks (LangChain, LlamaIndex, CrewAI, AutoGen). Knowledge of reinforcement learning methods or tools (Q-learning, policy gradients, RLlib). Why Join Us? Work on AI solutions that make a meaningful impact across industries. Be part of a supportive, collaborative, and forward‑thinking team. Access mentoring, continuous learning, and career‑development opportunities. Enjoy flexible working arrangements designed to support work–life balance. Join a company committed to inclusion, wellbeing, and empowering your success. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available  here .

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