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For Companies At a Glance
- Tasks: Deploy and scale machine learning solutions in a fast-paced environment.
- Company: Join DXC Technology, a leader in innovative AI projects.
- Benefits: Competitive salary, pension scheme, health insurance, and flexible work options.
- Why this job: Make a real impact on AI projects while collaborating with a forward-thinking team.
- Qualifications: Experience in MLOps or DevOps, strong Python skills, and a collaborative mindset.
- Other info: Enjoy continuous learning opportunities and a supportive work culture.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Location: Newcastle, England or Erskine, Scotland
Type: Full-Time
Remote Work: Hybrid options available
Salary: Competitive + Benefits
About the Role
Are you passionate about deploying and scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? We\\\’re looking for a talented OPS Engineer to join our growing teams in Newcastle or Erskine.
Key Responsibilities
- Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn
- XGBoost, LightGBM, CatBoost
- TensorFlow, Keras, PyTorch
- Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe
- Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines
- Experience working with distributed data processing using PySpark
- Solid understanding of software engineering principles and version control (e.g., Git)
- Excellent problem-solving skills and ability to work independently or in a team
- Collaborate with cross-functional teams to integrate AI solutions into scalable products
- Ensure best practices in data engineering and contribute to architectural decisions
- Contribute to the mentoring and development of junior team members
- Support senior team members in identifying and addressing data science opportunities
Required Skills & Experience
- Proven experience in MLOps or DevOps roles within machine learning environments
- Strong programming skills in Python, with hands-on experience in PySpark and SQL
- Deep understanding of ML lifecycle management and CI/CD best practices
- Familiarity with cloud-native ML platforms and scalable deployment strategies
- Excellent problem-solving skills and a collaborative mindset
- Typically, 6+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role
- Proficiencies in data cleansing, exploratory data analysis, and data visualization
- Continuous learner that stays abreast with industry knowledge and technology
Why Join Us?
- Work on impactful AI projects with real-world applications
- Be part of a collaborative and forward-thinking team
- Access to continuous learning and development opportunities
- Flexible working arrangements and a supportive work culture
Ready to shape the future of AI? Apply now and bring your expertise to a team that values innovation, creativity, and excellence.
What We Will Do For You
- Competitive compensation
- Pension scheme
- DXC Select – Our comprehensive benefits package (includes private health/medical insurance, gym membership and more)
- Perks at Work (discounts on technology, groceries, travel and more)
- DXC incentives (recognition tools, employee lunches, regular social events etc)
Still reading? We\\\’d love to hear from you – apply today.
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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Ops Engineer employer: DXC Technology
Contact Detail:
DXC Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ops Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Python and ML tools. This will give potential employers a clear view of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding ML concepts. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Our Website
Make sure to apply through our website for the best chance at landing that Ops Engineer role. We love seeing candidates who take the initiative and show genuine interest in joining our team!
We think you need these skills to ace Ops Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your proficiency in Python and ML libraries, as well as any relevant MLOps or DevOps experience. We want to see how you fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about deploying machine learning solutions and how your background aligns with our needs. Let us know what excites you about working with us at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in previous roles. We love candidates who can think on their feet and come up with innovative solutions, so don’t hold back on sharing your success stories!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your talents. We can't wait to hear from you!
How to prepare for a job interview at DXC Technology
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and the ML libraries mentioned in the job description. Be ready to discuss your experience with tools like TensorFlow, PyTorch, and ONNX. Having specific examples of projects where you've used these technologies will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially those related to MLOps or DevOps. Think of a couple of scenarios where you had to troubleshoot or optimise a machine learning model. This will demonstrate your analytical thinking and ability to work under pressure.
✨Familiarise Yourself with CI/CD Practices
Since the role requires knowledge of CI/CD best practices, be ready to explain how you've implemented these in past projects. Discuss any experience you have with ML lifecycle management and how you ensure smooth deployments. This shows you're not just technically savvy but also understand the workflow.
✨Emphasise Team Collaboration
This position involves working with cross-functional teams, so highlight your teamwork experiences. Share examples of how you've collaborated with others to integrate AI solutions into products. This will show that you can communicate effectively and contribute positively to the team dynamic.
