Machine Learning Engineer, AI

• Work on exciting public sector projects and make a positive difference in people’s lives.
• Research machine learning models and evaluate their application within the specialist domain.
• Collaborate with a small team to deliver AI capabilities for the UK government.
• Keep learning about various AI techniques such as classical ML, generative, and adversarial methods.
• Experiment with new approaches and translate them into practical capabilities.

Requirements

• Model Research & Evaluation: Research emerging machine learning models and techniques, and assess how they could be applied within our specialist domain.
• Applied AI Research: Turn research into practical proofs of concept, exploring generative, adversarial and other AI approaches.
• Domain Application: Work with the team to understand our customers problems in depth and translate ML capability into solutions that fit their specialist domain.
• Continuous Learning: Keep pace with the fast moving field of AI building knowledge across different model types and techniques and sharing what you learn with the team.
• Research Skills: Comfortable reading and evaluating ML research and translating findings into practical ideas worth testing.
• Technology Implementation: Ability to evaluate new AI technologies generative, adversarial or otherwise for relevance and feasibility within the UK Government Domain.
• Advanced Prototyping: Ability to build proof of concept applications that bridge the gap between initial research and real-world application.
• Specialist Advice: Keen to grow into a technical resource for the practical application of AI within the organisation, sharing knowledge as your expertise builds.
• Data Science: Applying data science techniques to support model research, evaluation, and refinement.
• Team Fit: A quick learner who's easy to work with, and will slot naturally into a close-knit, high-performing team.
• Technical Expertise: Solid understanding of machine learning algorithms and frameworks with a general grounding in software engineering practices and a genuine curiosity about how ML models work.
• Python: Strong proficiency and hands-on programming experience in Python are required.
• ML Frameworks: Practical experience working with machine learning frameworks (e.g. Pytorch) to build, train, evaluate, and deploy models.
• Version Control: Proficiency with Git for version control and collaborative development is required.
• Containerisation: Familiarity with Docker is required to package, deploy, and run applications across environments.
• Frontend Development: Experience with frontend technologies, specifically JavaScript and React, to help build interactive user interfaces for our prototypes (nice to have).
• Cloud Services: Experience working with cloud platforms (e.g., AWS, Azure, GCP) (nice to have).
• Systems/Backend Languages: Familiarity with other languages used for high-performance backend or ML workloads, such as Rust or C++ (nice to have).

Core Competencies

Demonstrates expertise in machine learning model research and evaluation, with a strong proficiency in Python and experience in applying AI techniques within the public sector. Capable of building proof of concept applications and collaborating effectively within a high-performing team.

Highest-signal resume keywords

• Machine Learning Research
• Python Programming
• ML Frameworks (Pytorch)
• Data Science Techniques
• Version Control (Git)

ATS Optimization Keywords

Hard Skills

• Machine Learning Algorithms
• Generative AI Techniques
• Adversarial AI Techniques
• Advanced Prototyping
• Data Science
• Model Evaluation
• AI Technology Evaluation
• Software Engineering Practices
• Cloud Platforms (AWS, Azure, GCP)
• Systems/Backend Languages (Rust, C++)

Soft Skills

• Continuous Learning
• Team Collaboration
• Adaptability
• Problem-Solving
• Communication

Industry Keywords

• Public Sector Projects
• AI Capabilities
• Proofs of Concept
• Specialist Domain
• Machine Learning Techniques

Tools & Technologies

• Pytorch
• Docker
• Git
• JavaScript
• React

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