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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying AI systems, with a strong focus on machine learning software engineering, cloud infrastructure, and team mentorship. Proven ability to collaborate effectively with diverse teams and communicate complex technical concepts to various stakeholders.
Highest-signal resume keywords
TensorFlow Model OperationalisationPyTorch Model OperationalisationCloud Platform Architecture (AWS, Azure, GCP)Docker and Kubernetes ExperienceMachine Learning Lifecycle Understanding
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python ProgrammingSoftware EngineeringMachine Learning Software DevelopmentInfrastructure DesignBest Practices Implementation
Soft Skills
Exceptional Communication SkillsMentorship and DevelopmentCollaboration with Cross-Functional TeamsOwnership and AutonomyTechnical Advisory
Tools & Technologies
AWSAzureGCPDockerKubernetes
Industry Keywords
AI SolutionsEnergy SectorTransition SectorEnvironment SectorScalable Infrastructure
Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Lead development and deployment of cutting-edge AI systems for diverse clients
- Lead technical scoping and architectural decisions for high-impact ML systems
- Design and build production-grade ML software, tools, and scalable infrastructure
- 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 on critical client challenges and opportunities
- Act as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
- Mentor and develop junior engineers
- Shape the team’s engineering culture and technical depth
- Build and deploy responsible AI solutions for clients in energy, transition, and environment sectors
Requirements
What you’ll need- Significant experience operationalising models built with 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 for building and managing applications at scale
- Understanding of the full machine learning lifecycle
- Ability to work in fast-paced, high-growth environments with ownership and autonomy
- Exceptional communication skills with technical teams and senior, non-technical stakeholders
- Ability to work in the UK; applicants must indicate whether they require visa sponsorship now or in the future
Benefits
Comp & perks- Hybrid working arrangement
- Part-time hours may be discussed
- Diverse and inclusive workplace
- Human-reviewed applications
- Option to opt out of the AI interview note-taker
- Opportunity to work on responsible AI with measurable positive impact
- Mentoring and professional development opportunities through developing junior engineers and shaping engineering culture