Machine Learning Engineer (TOP SAAS Company!) -Cambridge
Are you looking for a World Class career? Do you want to work in a company which is at the forefront of AI?
This is an outstanding opening to join a Global and Growing company which has seen a 200% growth Rate. This company is well established(Trading for 20 years) and well funded.
This is a career lead and permanent role due to the 2025-2030 roadmap we are only looking at perm hires and candidates from a perm background.
This role is based in Central Cambridge and we are looking for the Machine Learning Scientist to be hybrid working.
Position Overview:
You will join a passionate small team working on creating solutions to real-world challenges.Machine Learning Engineer will cover avast array of human knowledge and is provided as a mixture of structured and unstructured textual data as well as images. Hence challenges may involve training from labelled data, natural language processing (NLP), computer vision, or the use of large language models (LLMs). Your role will involve developing and rigorously testing new approaches to identify the most effective solutions.
Key Responsibilities:
- Develop, train, and evaluate ML algorithms to a wide variety of complex problems in NLP and Computer Vision
- Deploy these algorithms into a production environment in an efficient and scalable manner
- Complement the existing ML team in a collaborative nature to enhance the existing suite of ML applications
Person Spec:
- Ability to write robust code in Python and experience with relevant libraries (e.g. numpy, pandas, opencv, scipy, matplotlib, flask, scikit-learn)
- Knowledge of ML from a theoretical POV (gradient descent, loss functions, regularization etc)
- Knowledge of at least one of one deep learning framework (e.g. TensorFlow, Keras, PyTorch)
- Experience implementing, evaluating, and fine-tuning ML algorithms.
- Eagerness to constantly learn and ability to think outside the box.
- Outstanding problem-solving ability
- Advanced degree (Master's/PhD) in Computer Science or a related scientific field, or equivalent practical experience
Excellent benefits on offer
10% bonus
25 days holidays
Pension + Healthcare
Flexible working arrangements -2 days in the office in Cambridge.
2 Stage process and fast turnaround!
Apply now!
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