Machine Learning Engineer CPU / GPU

Job Description

Machine Learning Engineer Bristol - Hybrid working (2-3 days) 55k - 65kA leading InsurTech, based in Bristol is seeking a talented and enthusiastic Machine Learning Engineer, with experience in converting and optimising existing CPU-based models and algorithms to run efficiently on GPUs. This role is vital in supporting thecreation and enhancement of AI/ML-driven data enrichment pipelines and processes. Our client is looking for candidates with exceptional Python skills, a creative and innovative mindset, and a strong foundation in modern AI/ML systems and models.Key Responsibilities:- Develop and Deploy Models: Spearhead the development, training, retraining, and deployment of state-of-the-art machine learning models.- Optimise Pipelines: Continuously evaluate, refine, and enhance the performance of their data enrichment pipelines to ensure they are efficient and effective.- Data Management: Design and implement robust data cleaning and ingestion processes to prepare reference and training datasets for machine learning tasks.- Collaborative Problem-Solving: Work closely with their team of data scientists to identify, debug, and resolve complex issues, ensuring smooth and efficient operations.- Stay Ahead of the Curve: Keep abreast of the latest developments and breakthroughs in AI/ML and apply these innovations to improve their internal processes.Skills and Qualifications:- Educational Background: A Bachelors degree (or equivalent) in computer science, mathematics, or a related field.- Professional Experience: Minimum of three years of professional experience in a similar role, with a proven track record of success in developing and deploying machine learning models.- Technical Proficiency: Strong proficiency in Python and Pandas is essential, with experience in converting and optimising existing CPU-based models and algorithms to run efficiently on GPUs.- Analytical Skills: Excellent analytical and problem-solving skills, particularly in resolving data quality issues and improving model performance.- Creative Solutions: Proven ability to think creatively and deliver innovative solutions independently.- Big Data Technologies: Familiarity with Spark and/or PySpark to handle large-scale data processing tasks.- ML Expertise: Deep understanding of machine learning techniques and approaches, ensuring the application of best practises in model development.Desirable Qualifications:- Production Experience: Hands-on experience in deploying and maintaining machine learning models in production environments.- Advanced Techniques: Experience with gradient boosting techniques and massive text embedding models.- Software Engineering Knowledge: Knowledge of modern software engineering techniques, including best practises in coding, testing, and deployment.- Tool Proficiency: Experience with Databricks, Git, CI/CD pipelines, and advanced software testing approaches.Our client offers a generous benefits package, including health insurance, hybrid working, life assurance, private medical coverage, a 5% pension contribution, 28 days of annual leave plus bank holidays, collaborative working, and a dog-friendly office.If you are passionate about machine learning and want to join a forward-thinking organisation at the forefront of the reinsurance industry, apply now!Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environmentfor you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.