Data Scientist AI/Machine Learning
Posting date: | 18 February 2025 |
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Salary: | £45,000.00 to £55,000.00 per year |
Hours: | Full time |
Closing date: | 25 February 2025 |
Location: | Filton, Gloucestershire, BS34 7QW |
Company: | Manpower UK Limited |
Job type: | Permanent |
Job reference: | BBBH397557_1739891992 |
Summary
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...