Eden Smith Limited

Machine Learning Engineer London/Hybrid (2-3 days worked remotely) Salary up to £100,000 per annum An exciting opportunity has arisen to join a well known, global organisation in the Law sector. This company, who are famed for their working culture are looking to develop their Data and AI products to improve operational efficiency and enhance legal processes through innovative technologies. The new ML Engineer will be integral to this process.As a Machine Learning Engineer, you will be responsible for deploying, managing, and optimizing Large Language Models (LLMs) and other machine learning models within the organization's cloud-based enterprise data platform. With a strong focus on the Azure ecosystem, the role will ensure the efficient and cost-effective utilization of cloud resources. Key responsibilities: Design, develop, and deploy machine learning models using Azure Databricks Implement and optimize LLMs for various applications, ensuring scalability and performance Collaborate with DevOps Engineers, data scientists, data engineers, and other stakeholders to integrate ML solutions into production environments Develop and maintain ETL pipelines to support ML workflows Leverage experience with common MLOps frameworks for tracking of experiments, packaging code, and managing model life cycle Monitor and troubleshoot ML models in production, ensuring reliability and accuracy Stay updated with the latest advancements in ML and LLM technologies and apply them to improve existing solutions Skills: 5+ years of experience in machine learning and data engineering Proven experience with Azure Databricks and other Azure services (eg, Azure ML, Azure Data Factory) Experience with Databricks Cluster setup Experience in leveraging MLflow for experiment tracking, model life cycle management, and versioning of both machine learning and large language models Knowledge of ETL pipelines (using Azure Data Factory, or Databricks pipelines) to ensure efficient and scalable data flows Experience with systems like Azure Synapse Analytics for managing large datasets and scaling ML workloads Experience in Python, PyTorch, TensorFlow or other DL frameworks Deep understanding of primary Azure services (Virtual Machines, Active Directory, Automation) Experience with containerization and orchestration tools (eg, Docker, Kubernetes) Experience with version control systems especially Gitlab and CI/CD pipelines A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field is desirable but not essential. This role would suit someone with over 4 years of experience in Data Engineering/Machine Learning who is looking for a dynamic environment with plenty of progression. If you are interested please apply for full details.

Are you a Machine Learning Engineer looking to make an impact with cutting-edge AI solutions? We're on the hunt for a skilled professional to join our team and drive machine learning projects that harness the power of Azure technologies. Role Highlights: As a Machine Learning Engineer, you'll work at the forefront of AI and cloud technologies. You'll play a critical role in developing, deploying, and maintaining machine learning models that enhance business decision-making and customer experience. What You'll Be Working On: Model Development : Design, train, and optimize machine learning models using Python and the Azure ML Ops framework. Data Pipelines : Build and manage scalable data pipelines in Azure Databricks and Azure Data Factory (ADF) to support efficient data processing. Azure Integration : Leverage Azure services to ensure models are deployed and integrated seamlessly with existing infrastructure. End-to-End ML Lifecycle : Own the entire ML life cycle from model development to production, applying ML Ops best practices for continuous integration and deployment. Collaboration : Work closely with data scientists, software engineers, and stakeholders to ensure models align with business needs and maintain high standards of quality. What We're Looking For: Experience : Proven track record in Machine Learning Engineering, with hands-on experience in Azure Databricks, ADF, Azure services , and ML Ops . Skills : Proficient in Python for ML model development and data processing. Mindset : Strong problem-solving skills, attention to detail, and a passion for delivering high-impact solutions. Communication : Excellent communication skills to work effectively with cross-functional teams and stakeholders. Why Join Us? Innovative Environment : Work with cutting-edge technology and make a tangible impact in the AI space. Career Growth : We offer ample opportunities for upskilling and professional development. Supportive Team : Join a collaborative team that values creativity and teamwork. Candidates must be willing to work 3 days per week onsite in Central London. Ready to take the next step in your Machine Learning career? Apply now and help us push AI boundaries with Azure!