Software Team Lead, AI

Location: Cambridge, UK

We are seeking a hands on AI Team Lead to guide a team of machine learning and software engineers while actively contributing to model development, architecture, and production deployment. This role combines technical leadership, project management, and practical coding in a fast paced environment.

Responsibilities

• Lead end to end development of AI/ML solutions, from research and prototype to production.
• Define technical direction, architecture, and best practices for AI models, data pipelines, and infrastructure.
• Review code and ML pipelines to ensure high quality, scalability, and reliability.
• Mentor, coach, and develop team members.

Hands On Development

• Build, train, fine tune, and evaluate machine learning models (NLP, CV, tabular, generative AI, etc.).
• Develop production ready code in Python or other relevant languages.
• Implement model monitoring, performance optimization, and CI/CD automation for ML systems.

Project & Stakeholder Management

• Translate business requirements into technical AI solutions and delivery plans.
• Coordinate sprint planning, workload distribution, and roadmap execution.
• Collaborate with product, data, and engineering teams to deliver high impact AI features.
• Communicate technical choices, risks, and results to leadership and non technical stakeholders.

Required Skills

• 5+ years experience in ML/AI engineering, plus 1-3 years in a leadership or senior role.
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit Learn).
• Experience deploying models to production (Docker, Kubernetes, AWS/GCP/Azure).
• Solid understanding of LLMs, embeddings, vector search, RAG pipelines, or generative AI.
• Experience with MLOps tools (MLflow, SageMaker, Vertex AI, Databricks, etc.).
• Strong communication, leadership, and project execution skills.

Nice to Have

• Experience managing a hybrid team: data scientists, ML engineers, and software engineers.
• Background in reinforcement learning, optimization, or computer vision.
• Experience with LangChain/LlamaIndex or similar orchestration frameworks.
• Familiarity with data engineering tools (Airflow, dbt, Snowflake, Kafka).
• Prior startup or rapid growth environment experience.

What Success Looks Like

• Delivering production ready AI systems that impact business KPIs.
• Growing and leveling up team capabilities.
• Building reliable, scalable AI infrastructure and model lifecycle processes.
• Leading cross functional initiatives that bring new AI features to market.

Stratasys(Nasdaq: SSYS), headquartered in Minneapolis, Minnesota and Rehovot, Israel, has been a leader in the 3D printing industry for over thirty years. The company's patented FDM and PolyJet 3D printing technologies have a diverse range of applications, including rapid prototyping, production parts, tooling, and concept design. Stratasys offers additive manufacturing solutions in 13 countries, for industries including aerospace, automotive, healthcare, consumer goods, and education. The company operates Stratasys Direct, a digital parts manufacturing service, and Stratasys subsidiaries include MakerBot and GrabCAD. With over 2,000 employees, over 1,200 patents globally, and more than 30 awards for technology and leadership, Stratasys is changing millions of lives with the power of innovation.

Stratasys, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to their protected Veteran or disabled status and will not be discriminated against for their race, color, religion, sex, age, disability, military status, or national origin or any other characteristic.