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Machine learning engineer

Erskine
Permanent
hackajob
Machine learning engineer
€60,000 a year
Posted: 16 December
Offer description

Hackajob is collaborating with DXC Technology to connect with exceptional tech professionals for this role.

Location: Erskine, Scotland - Hybrid

Security Clearance level: SC

Candidate eligibility: UK national or sole British citizen residing in the UK for 5 years or more.


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.
* Experience with XGBoost, LightGBM, and CatBoost.
* Proficiency in 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 staying abreast of 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.

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