DXC Technology Inc.

A leading technology firm is seeking a Machine Learning Ops Engineer to bring machine learning solutions into real-world production environments. The ideal candidate will deploy, monitor, and scale ML models, collaborating with cross-functional teams and contributing to the entire ML lifecycle. Strong skills in Python and familiarity with ML libraries are essential. Join a collaborative environment that values continuous learning and innovation in AI technologies.

Job Description: DXC Technology is committed to building diverse, inclusive teams. We welcome applications from all backgrounds and particularly encourage interest from women, underrepresented groups, and neurodivergent candidates. We offer reasonable adjustments throughout the hiring process and are dedicated to creating a supportive, accessible environment for everyone. Machine Learning Ops Engineer Location: Erskine, Newcastle, Farnborough or London Candidates must be eligible for clearance Are you passionate about bringing machine learning solutions into real-world production environments? Do you enjoy collaborating with others to build scalable, reliable systems? We are looking for a Machine Learning Ops Engineer to join our growing team. This role is ideal for someone who enjoys solving complex problems, working cross-functionally, and continuously developing their technical expertise in a supportive environment. If you don't meet every single requirement listed below, we still encourage you to apply. We value potential, curiosity, and a willingness to learn. Key Responsibilities Deploying, monitoring, and scaling machine learning models in production. Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products. Supporting the full ML lifecycle, from experimentation to deployment and optimisation. Applying best practices in data engineering and contributing to architectural decisions. Using modern MLOps tools and CI/CD approaches to improve reliability and efficiency. Contributing to a culture of knowledge-sharing and continuous improvement. Key Skills & Experience Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost. Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow Serving, TorchServe). Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines. Experience working with distributed data processing (e.g., PySpark) and SQL. Understanding of software engineering best practices, including version control (Git). Knowledge of CI/CD principles in ML environments. Experience with cloud-native ML platforms is advantageous. Why Join Us Be part of a cutting-edge AI community driving digital transformation across the UKI. Work at the intersection of business innovation and emerging AI technologies. Opportunity to shape the future of AI adoption within some of the UK's most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. 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.

A leading IT services company is seeking a Machine Learning Ops Engineer in Newcastle. This role involves deploying machine learning models, collaborating with cross-functional teams, and contributing to an inclusive work environment. Candidates should have strong Python skills and experience with ML libraries. The position offers competitive salary, benefits like private medical insurance, and a flexible working model, promoting work-life balance and professional growth.

A leading technology services provider in London is looking for a Pre-Sales Consultant in Insurance Software to support sales and drive growth. The position involves engaging with clients, leading RFI responses, and driving solution planning. Candidates should possess significant experience in pre-sales and a strong understanding of the insurance sector. This role promotes in-person collaboration while offering flexibility, ensuring a supportive work environment.

Data/Machine Learning Ops Engineer page is loaded Data/Machine Learning Ops Engineerlocations: GBR - RFW - ERSKINE: UK113 - Newcastle UK (UK113)time type: Full timeposted on: Posted 2 Days Agojob requisition id: Job Description: Data / Machine Learning Ops Engineer Location: Erskine, Newcastle, Farnborough or London (Hybrid - 2/3 days per week in the office) Candidates must be eligible for clearance. DXC Technology (NYSE: DXC) is a leading independent, end-to-end IT services company, helping organisations harness innovation to thrive through change. Serving nearly 6,000 private and public sector clients across 70 countries, DXC combines technology independence, global talent, and an extensive partner network to deliver next-generation IT services and solutions.We are proud to be recognised globally for corporate responsibility and inclusive workplace practices. The RoleWe are looking for a Machine Learning Ops Engineer to join our growing team. This role is ideal for someone who enjoys solving complex problems, working cross-functionally, and continuously developing their technical expertise in a supportive environment.If you don't meet every single requirement listed below, we still encourage you to apply. We value potential, curiosity, and a willingness to learn. What You'll Be Doing Deploying, monitoring, and scaling machine learning models in production. Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products. Supporting the full ML lifecycle, from experimentation to deployment and optimisation. Applying best practices in data engineering and contributing to architectural decisions. Using modern MLOps tools and CI/CD approaches to improve reliability and efficiency. Contributing to a culture of knowledge-sharing and continuous improvement. Technical ExperienceWe're looking for experience in many of the following areas: Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost. Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow Serving, TorchServe). Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines. Experience working with distributed data processing (e.g., PySpark) and SQL. Understanding of software engineering best practices, including version control (Git). Knowledge of CI/CD principles in ML environments. Experience with cloud-native ML platforms is advantageous. What We're Looking For A collaborative mindset and strong communication skills. A thoughtful, structured approach to problem solving. A commitment to continuous learning and professional growth. The confidence to contribute ideas while valuing diverse perspectives. Work on meaningful AI projects with real-world impact. Join a supportive, forward-thinking team that values inclusion and diverse perspectives. Access structured learning, mentoring, and career development opportunities. Flexible hybrid working arrangements. A workplace culture that supports wellbeing and work-life balance. What We Offer Competitive salary. Pension scheme. DXC Select - comprehensive benefits package including private medical insurance, gym membership, and more. Perks at Work - discounts on technology, groceries, travel and more. DXC incentives - recognition tools, employee lunches, and regular social events. We are committed to building diverse teams and creating an inclusive environment where everyone can thrive. If this role excites you, we'd love to hear from you.Apply today and bring your skills, perspective, and ambition to a team that values innovation, collaboration, and growth.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 .