At a Glance
- Tasks: Design and develop scalable ML solutions using cutting-edge technologies.
- Company: Join DXC Technology, a leader in innovative IT services.
- Benefits: Enjoy flexible working, continuous learning, and a supportive culture.
- Other info: Collaborative environment with excellent career growth opportunities.
- Why this job: Make a real impact on AI projects that matter.
- Qualifications: Strong Python skills and experience with ML libraries required.
The predicted salary is between 50000 - 60000 £ 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.
Hybrid ML Engineer (UK, SC) — Build Impactful AI Solutions in Erskine employer: 慨正橡扯
DXC Technology is an exceptional employer, offering a dynamic and collaborative work environment in Erskine, Scotland, where you can contribute to impactful AI projects that make a real difference. With a strong focus on continuous learning and development, employees benefit from flexible working arrangements and a supportive culture that values innovation and creativity. Join a team that not only embraces cutting-edge technologies but also prioritises your professional growth and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid ML Engineer (UK, SC) — Build Impactful AI Solutions 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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. This is your chance to demonstrate what you can do, so make it shine and share it during interviews.
✨Tip Number 3
Prepare for those interviews! Brush up on common ML concepts and be ready to discuss your past experiences. Practising with mock interviews can help you feel more confident when the real deal comes along.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Hybrid ML Engineer (UK, SC) — Build Impactful AI Solutions in Erskine
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your proficiency in Python and ML libraries, as well as any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for the role. Don’t forget to mention your experience with model deployment and collaboration with cross-functional teams.
Showcase Your Projects:If you've worked on any machine learning projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, we love seeing practical examples of your work and how you’ve tackled challenges.
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, PyTorch, 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 challenges you've faced in previous roles and how you tackled them. Use examples that highlight your analytical thinking and ability to work independently or as part of a team. This will demonstrate your fit for the collaborative environment they’re looking for.
✨Understand the Business Context
Research DXC Technology and understand their mission and the sectors they serve. Be ready to explain how your skills can contribute to their goals, especially in designing impactful AI solutions. This shows that you’re not just technically skilled but also aligned with their vision.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and ongoing projects. This not only shows your interest but also helps you gauge if the company culture aligns with your values. It’s a great way to engage with your interviewers and leave a lasting impression.
