Data Scientist AI/Machine Learning
Dyddiad hysbysebu: | 18 Chwefror 2025 |
---|---|
Cyflog: | £45,000.00 i £55,000.00 bob blwyddyn |
Oriau: | Llawn Amser |
Dyddiad cau: | 25 Chwefror 2025 |
Lleoliad: | Filton, Gloucestershire, BS34 7QW |
Cwmni: | Manpower UK Limited |
Math o swydd: | Parhaol |
Cyfeirnod swydd: | BBBH397557_1739891992 |
Crynodeb
Data Scientist AI/Machine Learning Filton(Hybrid) £45,000-£55,000+Benefits
My client are a multi-national aerospace, defence & Security organistaion.
They are currently looking for an experienced Data Scientist to work on a hybrid basis out of their Filton site.
What you'll be doing:
- Undertake technical activities based on significant professional experience and requiring considerable original thought
- Producing outputs which would be consistently recognised as representing achievements of at least national standing
- Liaise with a range of customers / project managers in establishing requirements in order to fully understand and advise on the technical issues and project objectives.
- Contribute to the generation of technical strategies and plans within the group
- Prepare, document and deliver formal and informal technical reviews / presentations / reports / demonstrations to inform customers of project progress
- Represent and publicise the company externally, through publishing articles and speaking at conferences at national and international levels
- Work in accordance with the Air Safety, Health & Environment Policy, and local safety plans
Your skills and experiences:
- Ability to write robust code in Python
- Familiarity with machine learning frameworks such as Keras or PyTorch
- Broad technical background in the field of AI and Machine Learning, in particular experience working on classification problems (e.g. Image/Acoustics/text/sentiment classification), Natural Language Processing, regression problems, Reinforcement Learning and Generative AI
- Experience with computer vision, pattern recognition, large-scale data mining, data analytics or autonomous systems
- You will have a strong background in working with large language models
To apply for this role please send your cv to Peter Bibby on the email address below...