At a Glance
- Tasks: Design and develop scalable machine learning solutions using cutting-edge technologies.
- Company: Join DXC Technology, a global leader in IT services with a collaborative culture.
- Benefits: Enjoy flexible working, continuous learning opportunities, and a supportive work environment.
- Other info: Be part of a forward-thinking team with excellent career growth potential.
- Why this job: Make a real impact on AI projects that shape the future.
- Qualifications: Proficiency in Python and ML libraries; experience in model deployment and data processing.
The predicted salary is between 45000 - 55000 £ per year.
Location: Erskine, Scotland - Hybrid
Security Clearance level: SC Candidates must be UK national/sole British citizens and resided in the UK for 5 years or over.
About the Role
We’re seeking a passionate and skilled Machine Learning Engineer to join our growing team. You’ll play a key role in designing, developing, and deploying scalable ML solutions across a variety of domains. This is a fantastic opportunity to work with cutting‑edge technologies and contribute to impactful projects in a collaborative, innovation‑driven environment.
Key Responsibilities
- Design and implement robust machine learning models using modern frameworks and libraries.
- Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions.
- Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT.
- Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines.
- Work with large‑scale data using PySpark and integrate models into production environments.
- Monitor model performance and retrain as needed to ensure accuracy and efficiency.
- 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
- Strong proficiency in Python and ML libraries such as pandas, NumPy, scikit‑learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, and 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.
- Demonstrated relevant industry experience, including time spent 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. Join us today!
Machine Learning Engineer in Erskine employer: 慨正橡扯
DXC Technology is an exceptional employer, offering a dynamic and collaborative work environment in Erskine, Scotland, where Machine Learning Engineers can thrive. With access to cutting-edge technologies and a strong focus on continuous learning and development, employees are empowered to work on impactful AI projects that drive real-world change. The company's commitment to flexible working arrangements and a supportive culture makes it an attractive place for those seeking meaningful and rewarding careers in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Erskine
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. This could be anything from GitHub repos to blog posts explaining your work. It’s a great way to stand out!
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals like you. Plus, it’s a straightforward way to ensure your application gets seen by the right people.
We think you need these skills to ace Machine Learning Engineer in Erskine
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python and ML libraries, and don’t forget to mention any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our team. Be sure to mention specific technologies or projects that excite you about this role at DXC Technology.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in the past. We love candidates who can think critically 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. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at 慨正橡扯
✨Know Your Tech Inside Out
Make sure you’re well-versed in the key technologies mentioned in the job description, like Python and ML libraries. Brush up on your knowledge of TensorFlow, PySpark, and model deployment tools. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems using machine learning. Think about challenges you've faced and how you approached them. This will demonstrate your analytical thinking and ability to apply your skills in real-world scenarios.
✨Collaborate and Communicate
Since the role involves working with cross-functional teams, be ready to talk about your experience collaborating with others. Highlight any projects where you’ve worked closely with data scientists or engineers, and how you translated business requirements into technical solutions.
✨Stay Current and Curious
Show your passion for continuous learning by discussing recent trends or advancements in machine learning. Mention any courses, workshops, or projects you’ve undertaken to stay updated. This will reflect your commitment to growth and innovation, which is highly valued in a dynamic environment.
