Senior Machine Learning and AI Developer
Location: Bristol In House/Hybrid (must be within commutable distance of Bristol)
Employment Type: Full-time
Experience Level: Senior
Salary: £80k - £100k
About the Role
We are seeking an experienced Senior ML & AI Developer to lead the design, development, and deployment of machine-learning and AI-driven solutions. In this role, you will take ownership of complex models and pipelines, influence technical direction, and mentor less experienced team members while working closely with engineering and product teams.
What You’ll Do
* Design, build, and deploy scalable ML and AI solutions for production environments.
* Lead model development, evaluation, and optimization across supervised and unsupervised learning use cases.
* Collaborate with backend and frontend teams to integrate AI features into products.
* Guide architectural decisions around data pipelines, model serving, and infrastructure.
* Mentor mid-level and junior developers through reviews, knowledge sharing, and technical leadership.
* Stay up to date with advances in ML, AI, and LLM technologies, applying them where they add real value.
What We’re Looking For
* 5+ years experience in ML/AI development, including production deployment.
* Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
* Experience working with LLMs, NLP, computer vision, or recommendation systems.
* Solid understanding of data pipelines, feature engineering, and model evaluation.
* Experience with cloud platforms (AWS, Azure, or GCP) and ML deployment strategies.
* Strong communication skills and experience mentoring or leading technical initiatives.
Nice to Have
* Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI).
* Familiarity with containerization and orchestration (Docker, Kubernetes).
* Experience working with large-scale datasets or real-time ML systems.
Why Join Us
* Ownership of impactful AI initiatives.
* Opportunity to shape technical direction and best practices.
* Flexible working environment and competitive compensation.