Job Description

Shoosmiths is 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. The first top 50 law firm to achieve 'Platinum Standard' Investors in People, our values and culture are not just words on our website but are the heartbeat of the firm. Shoosmiths is also on a pathway to net zero across the value chain by 2040.


We have an outstanding benefits package to complement our competitive remuneration system. In addition to the competitive salaries, great working environment and high-quality work, we believe that all staff should be rewarded for their commitment to the continued success of the firm through a comprehensive and flexible range of benefits.


To discover more about our benefits, please visit: Benefits Package.

Our Strategy

Shoosmiths strategy is to transform Shoosmiths from being a good firm with a really solid reputation, into an

excellent

firm with a reputation for

excellence

. So that by 2030, we will

excel

in our chosen markets. At the heart of our new strategy is

focus

. Intense focus on what we do well. And a bold commitment to doing it even better.

Main Responsibilities:

Design, develop, and deploy AI and machine learning models. Analyse large datasets to extract meaningful insights and patterns. Collaborate with cross-functional teams to integrate AI solutions into products and services. Optimize AI models for performance, scalability, and accuracy. Monitor and maintain AI systems in production environments. Stay updated with the latest AI research and technologies. Document AI workflows, models, and system architecture.

Skills & Qualifications

Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning frameworks (e.g., PyTorch (preferred), TensorFlow, Scikit-learn). Experience with data processing tools and cloud platforms (e.g., Azure, GCP, AWS). Knowledge of deep learning, NLP, and computer vision techniques, especially in the context of Microsoft Copilot and OpenAI APIs. Familiarity with MLOps practices using tools like Azure ML Pipelines, MLflow, Docker, and Kubernetes. Excellent problem-solving and analytical skills. Bachelor's or master's degree in computer science, AI, Data Science, or a related field.

Additional Details

Travel to other Shoosmiths offices will be necessary on occasions. It is essential that the AI engineer can work flexible or extended hours to complete some tasks outside of core business hours of 08:00 to 18:00. This role is a hybrid role but there is an expectation that the jobholder works from a Shoosmiths office for a minimum of 3 days a week. Due to the nature of this role, there is an expectation that additional hours may be required as and when necessary to meet business demands.


Equal opportunities



Our approach to our people is underpinned by our approach to diversity, inclusion and well-being. Our ambition is to build a diverse and ambitious workforce that reflects all backgrounds and talents, and a workplace that is supportive and inclusive, recognises and nurtures talent, and has a strong sense of community between colleagues.


This means that everyone who either applies to or works for the firm is treated equally, whatever their gender, age, ethnic origin, nationality, marital status, disability, sexual orientation or religious beliefs.




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