Machine Learning Engineer
| Dyddiad hysbysebu: | 03 Medi 2025 |
|---|---|
| Oriau: | Llawn Amser |
| Dyddiad cau: | 10 Medi 2025 |
| Lleoliad: | OXFORD, Oxfordshire, OX5 1QU |
| Gweithio o bell: | Ar y safle yn unig |
| Cwmni: | Hays Specialist Recruitment |
| Math o swydd: | Parhaol |
| Cyfeirnod swydd: | 4720700_1756888729 |
Crynodeb
Your new companyJoin a dynamic, forward-thinking organisation at the forefront of advanced engineering and manufacturing. With a global presence and a growing UK footprint, this company is renowned for pushing boundaries and delivering innovation across high-impact sectors.
Your new role
As a Machine Learning Engineer, you'll be instrumental in designing and validating novel ML models to optimise manufacturing processes and material compositions. You'll collaborate with cross-functional teams of engineers and scientists, contribute to the development of internal ML platforms, and help identify high-impact opportunities for rapid capability delivery. You'll also be responsible for building robust MLOps pipelines using tools like Airflow and MLflow, ensuring scalable and automated model deployment and governance.
What you'll need to succeed
Essential Skills:
* Bachelor's degree (2:1 or above) in science, engineering, mathematics, or computer science
* Strong Python development skills
* Practical experience with machine learning or deep learning in scientific/engineering contexts
* Familiarity with MLOps tools and practices (Airflow, MLflow) and containerisation (e.g., Docker)
* Passion for working with real-world datasets and data visualisation
* Interest in material discovery, computer vision, big data, and optimisation techniques
* Excellent communication and collaboration skills
* Problem-solving mindset and self-motivation
Desirable Skills:
* Master's degree in machine learning, mathematics, or statistics
* Understanding of probabilistic and Bayesian modelling
* Knowledge of software design principles and object-oriented programming
* Experience with cloud platforms (Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform)
What you'll get in return
You'll join a fast-paced, agile team in a company that values innovation and collaboration. You'll work on cutting-edge technologies with real-world impact, contributing to the future of advanced manufacturing. The role offers the opportunity to grow your skills in a dynamic environment, surrounded by world-class experts, with access to state-of-the-art facilities and tools.
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
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