▷ 3 Days Left! Machine Learning Engineer NLP

Job Specification: Machine Learning Engineer (NLP)(Pytorch) Location: Bristol, UK (Hybrid – 2 days per week in theoffice) About the Role I’m looking for an NLP Engineer to join aforward-thinking company that specialises in advanced riskanalytics and machine learning. This is a great opportunity to workon cutting-edge AI solutions in a rapidly evolving industry, with afocus on real-world applications in cyber reinsurance. KeyResponsibilities 1. Develop and optimise NLP models for tasks likeinformation retrieval, summarisation, and other domain-specificapplications. 2. Work closely with data scientists, engineers, anddomain experts to understand business needs and deliver AI-drivensolutions. 3. Stay up to date with the latest NLP technologies,including semantic search and generative AI, and apply them toimprove existing models. 4. Build and maintain scalable datapipelines for processing both structured and unstructured dataefficiently. 5. Evaluate and fine-tune machine learning models toensure optimal performance. 6. Ensure models and data pipelinesadhere to best practices for security, robustness, and compliance.7. Document processes and methodologies to support knowledgesharing and transparency, reproducibility, and knowledge sharingacross teams. What You Need 1. A degree in Computer Science,Engineering, Statistics, or a related field (Master’s or Ph.D.preferred but not essential). 2. Strong understanding of machinelearning algorithms and NLP techniques, with hands-on experience ineither academia or industry. 3. Proficiency in Python andexperience with ML/NLP libraries like TensorFlow, PyTorch,scikit-learn, or Hugging Face. 4. Experience working with cloudplatforms such as AWS, GCP, or Azure. 5. Familiarity with advancedNLP methods, including Prompt Engineering, Parameter-EfficientFine-Tuning (PEFT), and Direct Preference Optimization (DPO). 6.Strong problem-solving skills and the ability to work independentlyor collaboratively. 7. Great communication skills, both written andverbal. Nice-to-Haves 1. Experience adapting large language models(LLMs) for specific domains. 2. Knowledge of event extraction andmultimodal information processing. 3. Experience with datasetcollection and improvement strategies. 4. Familiarity withknowledge graphs and their applications. 5. Experience handlinglarge-scale datasets and using distributed computing frameworkslike Databricks or Spark. 6. Background in insurance orcybersecurity. 7. Understanding of data privacy regulations such asGDPR and CCPA. Salary & Benefits £40,000 – £60,000 depending onexperience. Benefits include: * 5% pension. * 28 days holiday +bank holidays. * Private medical insurance. * Death in servicebenefit. Why Apply? * A chance to work on cutting-edge AI andmachine learning projects with real-world impact. * A friendlyinclusive team. * A hybrid working model (2 days per week in theBristol office). * A collaborative and inclusive work environment.* Plenty of career growth and development opportunities. Pleaseapply by sending your CV to Company: AdeccoJ-18808-Ljbffr