AI / ML Engineer in London

At Pythian, we are experts in strategic database and analytics services, driving digital transformation and operational excellence. We empower organizations to embrace transformation and leverage advanced technologies, including AI, to stay competitive. We deliver innovative solutions that meet each client’s data goals and have built strong partnerships with Google Cloud, AWS, Microsoft, Oracle, SAP, and Snowflake.

As an AI / ML Engineer, you will be a contributor to the design, development, and implementation of Artificial Intelligence and Machine Learning solutions. Your primary focus will be on developing, implementing, and maintaining robust, scalable, and reliable AI/ML pipelines, with an emphasis on integrating and optimizing models, including Large Language Models (LLMs) and Generative Artificial Intelligence technologies, into client and internal products. Your role requires a solid understanding of ML engineering best practices and the AI ecosystem, collaborating with data scientists and software engineering teams.

What You Will Be Doing

• Develop, deploy, and maintain robust AI and machine learning pipelines for internal and client‑driven projects.
• Deploy, manage, and scale AI models, including pre‑trained models (e.g., LLMs) and custom ML models, into production environments.
• Work with data scientists to implement model prototypes into scalable, production‑ready AI systems.
• Optimize and tune model performance, latency, and cost‑efficiency on cloud platforms.
• Integrate AI/ML solutions with major cloud platforms (AWS, GCP, Azure) and utilize containerization technologies (Docker, Kubernetes) for consistent deployment.
• Apply standard MLOps practices, including continuous integration/continuous delivery (CI/CD), model versioning, monitoring, and maintenance systems.
• Collaborate with software engineering teams to ensure seamless integration of AI capabilities into applications and user workflows.
• Stay up to date with advancements in AI/ML technologies, Generative AI, and MLOps deployment strategies.

What We Need From You

• Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related quantitative field.
• 2 to 5 years of progressive experience in machine learning engineering, software development with an ML/AI focus, or a related role.
• Strong programming skills in Python and proficiency in ML/AI frameworks such as TensorFlow, PyTorch, or Scikit‑learn.
• Hands‑on experience in deploying and working with pre‑trained models, such as Large Language Models (LLMs) or similar Generative AI technologies, into production environments.
• Solid experience with cloud platforms (AWS, GCP, Azure) and container orchestration using Docker and Kubernetes.
• Solid understanding of Data Engineering principles, ETL/ELT processes, and version control systems (e.g., Git).
• Experience in orchestrating Machine Learning pipelines using open‑source tools like Kubeflow or managed cloud services.
• Experience in building and optimizing scalable AI/ML systems.
• Familiarity with MLOps best practices, including model monitoring, logging, and CI/CD pipelines for AI assets.
• Strong communication and collaboration skills, with an ability to work effectively across cross‑functional teams including solution architects and data scientists.

What You Will Receive

• Competitive total rewards package.
• Flexibly work remotely from your home, there’s no daily travel requirement to an office.
• Collaborate with some of the best and brightest in the industry.
• Hone your skills or learn new ones with our substantial training allowance; participate in professional development days, attend training, become certified, whatever you like!
• We give you all the equipment you need to work from home including a laptop with your choice of OS, and an annual budget to personalize your work environment!
• You will have an annual wellness budget to make yourself a priority (use it on gym memberships, massages, fitness and more). Additionally, you will receive a generous amount of paid vacation and sick days, as well as a day off to volunteer for your favorite charity.

The successful applicant will need to fulfill the requirements necessary to obtain a background check. Accommodations are available upon request for candidates taking part in any aspect of the selection process.