227 jobs for “Research Associate In Physics-Informed M”
Faculty · 51–200 people · Series B
Lead technical direction on complex, business-critical AI projects for the Life Sciences team, partnering with pharma, academic and regulatory clients. Combines hands-on machine learning expertise with project roadmapping, technical risk management and mentoring of cross-functional data science teams.
Metaview
Faculty · 51–200 people · Series B
Lead the design, build and deployment of production-grade machine learning systems for clients across life sciences, government and finance. Work spans architectural scoping, scalable cloud and Kubernetes infrastructure, and acting as a trusted technical advisor to customers while mentoring junior engineers.
TensorFlow · PyTorch · AWS +4
Anthropic · 51–200 people · Series B
Founding leader for Anthropic's Forward Deployed Engineering practice, hiring and developing engineers who embed with strategic enterprise customers to ship production AI applications. Player-coach role setting technical and operational standards, building repeatable playbooks, and partnering with Sales, Product and Engineering. Requires travel to customer sites 25-50%.
Claude
Anthropic · 51–200 people · Series B
Embed directly with strategic enterprise customers to build production applications on Claude models, delivering artifacts like MCP servers, sub-agents and agent skills. Combines hands-on Python engineering with customer-facing discovery, codifying repeatable deployment patterns and feeding insights back to Product and Engineering. Founding FDE role with frequent travel (25-50%) to customer sites.
Claude · MCP
Faculty · 51–200 people · Series B
Lead the design, build and deployment of production-grade ML systems for diverse clients, covering architecture, scalable infrastructure and ethical standards. Work across engineering, data science and commercial teams, acting as a trusted technical advisor while mentoring junior engineers. Requires deep Python, TensorFlow/PyTorch, cloud and Kubernetes expertise.
TensorFlow · PyTorch · AWS +5
Anthropic · 51–200 people · Series B
Lead a team of Technical Deployment Leads embedded with strategic enterprise customers across EMEA, owning engagement portfolio health and delivery quality. Player-coach role: hire and manage TDLs, set delivery strategy, run executive relationships and steering committees, and personally lead the most complex engagements from SOW through production deployment. Requires credibility in architecture discussions and depth in enterprise AI/ML delivery.
Claude
Faculty · 51–200 people · Series B
Deliver bespoke, production-grade machine learning systems for government and national security clients, spanning the full ML lifecycle from scoping to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, while advising stakeholders and setting standards for deploying ML at scale.
Scikit-learn · TensorFlow · PyTorch +5
Faculty · 51–200 people · Series B
Deliver bespoke, production-grade machine learning systems for government and national security clients, spanning the full ML lifecycle from scoping and architecture to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, while advising stakeholders and setting standards for deploying ML at scale.
Scikit-learn · TensorFlow · PyTorch +5
Faculty · 51–200 people · Series B
Sets technical direction for complex AI/ML projects, designing scalable production systems and shared deployment infrastructure with CI/CD pipelines. Leads multiple workstreams in high-risk national security contexts, defining testing and model versioning standards while coaching engineers and defending architectural decisions to senior stakeholders.
Kubernetes · TensorFlow · PyTorch +1
Faculty · 51–200 people · Series B
Leads complex machine learning delivery and strategy for the Defence team, owning a portfolio of work, scoping projects and acting as a technical authority. Writes production-grade Python, builds Generative and agentic AI applications with LLMs, and mentors junior data scientists. Requires UK Security Clearance and 2-4 days per week on client sites.
Metaview
Faculty · 51–200 people · Series B
Sets technical direction for complex ML projects in the defence sector, designing and maintaining scalable ML/software systems while justifying architectural decisions. Leads hiring, mentoring and shared library development, working 2-4 days per week on client sites with UK travel and the rest remote or from the London office.
Scikit-learn · TensorFlow · PyTorch +5
Faculty · 51–200 people · Series B
Lead backend and edge/IoT engineering for high-stakes Defence projects, bridging proof-of-concept work and robust production systems. You'll mentor a squad of engineers, design complex components, and build CI/CD and containerisation pipelines in Python and a compiled language like Rust, C++ or Go, working alongside ML engineers and data scientists. Requires UK Security Clearance eligibility and 2-4 days per week on client sites.
GitLab CI/CD · Docker · Kubernetes +1
