Shoosmiths

About the Company

We’re the law firm clients choose for excellent service, incisive thinking and above all for our ability to focus on what matters. From offices across the UK and Brussels, we support some of the world’s most exciting and ambitious businesses; amazing clients making an impact. We empower our people to be their authentic selves and deliver together in supportive teams committed to excellence and innovation. We’ve won prestigious industry awards, such as ‘Law Firm of the Year’ at the Legal Business Awards 2022, ‘Legal Team of the Year’ at the Estates Gazette Awards 2022 and have been recognised for being the most active law firm advising on corporate transactions across the UK (Experian, 2022). Our innovative approach is also embodied in our non-legal solutions for clients, which complement our technical legal expertise. We also believe in supporting the communities in which we operate, and are firmly on our ESG journey, with the Science Based Targets initiative (SBTi) validating near-term science-based emissions reduction targets, and launching our grant-making body ‘The Shoosmiths Foundation’.

Listed Jobs

Company Name

Shoosmiths

Job Title

AI Engineer

Job Description

Job Title: AI Engineer Role Summary: Design, develop, and deploy AI and machine learning models to solve business problems and enhance operations. Work collaboratively with data scientists, software engineers, and stakeholders to integrate AI solutions into products, maintain production models, and stay current with emerging AI technologies. Expectations: Work flexible or extended hours as needed; hybrid work model with a minimum of 3 office days per week; occasional travel to other offices. Key Responsibilities: - Design, develop, and deploy AI and machine learning models. - Analyze large datasets to extract insights and patterns. - Integrate AI solutions into products and services in collaboration with cross‑functional teams. - Optimize models for performance, scalability, and accuracy. - Monitor and maintain AI systems in production environments. - Document AI workflows, models, and system architecture. - Keep up-to-date with latest AI research and technologies. Required Skills: - Proficiency in Python, Java, or C++. - Strong knowledge of machine learning frameworks (PyTorch preferred, TensorFlow, Scikit‑learn). - Experience with data processing tools and cloud platforms (Azure, GCP, AWS). - Understanding of deep learning, NLP, and computer vision, including Microsoft Copilot and OpenAI APIs. - Familiarity with MLOps practices (Azure ML Pipelines, MLflow, Docker, Kubernetes). - Excellent problem‑solving and analytical skills. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field. - Relevant certifications in machine learning or cloud platforms (e.g., Azure AI Engineer Associate, AWS Certified Machine Learning – Specialty) are advantageous.

Birmingham, United kingdom

Hybrid

24-11-2025