Senior Forward Deployed Engineer

Faculty

. Lead development and deployment of cutting-edge AI systems for diverse clients .

Posted 10/8/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying scalable machine learning systems using frameworks like TensorFlow and PyTorch, while effectively collaborating with cross-functional teams and mentoring junior engineers. Possesses strong communication skills to translate technical concepts for diverse stakeholders and ensure project ownership and completion.

Highest-signal resume keywords

Machine Learning Lifecycle ExperiencePython Programming SkillsCloud Platform Expertise (AWS, Azure, GCP)Docker and Kubernetes ProficiencyTechnical Advisory and Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningTensorFlowPyTorchPythonCloud ArchitectureDockerKubernetesSoftware EngineeringModel OperationalizationScalable Systems Development

Soft Skills

Exceptional CommunicationCollaborationMentorshipProblem-SolvingOwnership

Tools & Technologies

AWSAzureGCPDockerKubernetes

Certifications & Qualifications

UK Developed Vetting (DV) Eligibility

Industry Keywords

AI SystemsTechnical ScopingArchitectural DecisionsEngineering CultureGovernment Clients

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Lead development and deployment of cutting-edge AI systems for diverse clients
Design, build, and deploy scalable, production-grade machine learning software and infrastructure
Lead technical scoping and architectural decisions for high-impact machine learning systems
Define and implement best practices and standards for deploying machine learning at scale across the business
Collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
Act as a trusted technical advisor to customers and partners
Translate complex technical concepts into actionable strategies
Mentor and develop junior engineers
Shape the team’s engineering culture and technical depth

Requirements

What you’ll need

Significant experience operationalising models built with frameworks like TensorFlow or PyTorch
Deep expertise in software engineering
Strong Python skills
Hands-on experience with cloud platforms such as AWS, Azure, or GCP, including architecture, security, and infrastructure
Extensive experience with Docker and Kubernetes
Experience across the full machine learning lifecycle
Ability to build robust, reusable systems
Ability to drive projects to completion with ownership and autonomy
Exceptional communication skills with technical teams and senior non-technical stakeholders
May need to be eligible for UK Developed Vetting (DV)
Must have lived in the UK continuously for the past 5 years to be eligible for security clearance
Willingness to work on site with government clients from time to time
Willingness to travel throughout the UK on a weekly basis if required for the Defence team

Benefits

Comp & perks

Open to conversations about part-time hours
Opportunity to use AI for research and interview preparation
Diverse and inclusive workplace
Human-reviewed applications
Option to opt out of the AI interview note-taker