Machine Learning Engineer job opportunity at DXC Technology.

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DXC Technology Machine Learning Engineer
Experience: General
Pattern: full-time
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loacation GBR - RFW - ERSKINE, United Kingdom
loacation GBR - RFW - ER..........United Kingdom

Job Description: ML Engineer Location  – Erskine, Newcastle, Farnborough or London (London primarily) Candidates are required to be eligible for clearance Are you a curious, innovative engineer who’s passionate about turning data into meaningful impact? We’re looking for a Machine Learning Engineer to join our growing team—someone who enjoys solving real-world problems, collaborating with supportive colleagues, and building technology that truly makes a difference. Whether you're early in your ML career or bringing years of experience, this is a place where your ideas will be heard, your voice matters, and your growth is encouraged. What You’ll Do In this role, you will have the opportunity to: Design and build robust machine learning models using leading frameworks. Work closely with data scientists, engineers, and business partners to translate real challenges into smart technical solutions. Deploy and optimize ML models using tools such as TensorFlow Serving, TorchServe, ONNX, and TensorRT. Develop ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale datasets using PySpark and bring models into production environments. Monitor model accuracy and performance, ensuring continuous improvement. Collaborate across teams to integrate AI features into scalable products. Contribute to architectural discussions and best practices in data engineering. Mentor junior colleagues and support a culture of knowledge‑sharing. Partner with senior team members to identify new opportunities for data‑driven innovation. What You’ll Bring We know that women often apply only when they meet all criteria—please apply even if you don't tick every box. If you’re excited about the role, we’d love to hear from you. Strong Python skills and familiarity with key ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Hands-on experience with model deployment tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Experience with ML lifecycle and pipeline tools: MLflow, Kubeflow, Azure ML Pipelines Experience using PySpark for distributed data processing. Solid grounding in software engineering practices and version control (Git). Strong analytical and problem‑solving abilities. Ability to work well both independently and within a collaborative, cross-functional team. Experience within a similar role in industry. Skills in data cleansing, exploratory analysis, and data visualization. A continuous learning mindset and enthusiasm for staying current with new technologies. Why You’ll Love Working With Us Work on impactful, high‑visibility AI projects that deliver real value. Join a collaborative, supportive team that values diverse perspectives. Access learning opportunities, career development, and mentorship. Enjoy flexible working arrangements that support balance and wellbeing. Be part of a culture where innovation, creativity, and authenticity are celebrated. 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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