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Machine Learning Engineer
Hair Rebellion UkMachine Learning Engineer developing innovative AI solutions for the gaming industry with a focus on machine learning systems. Collaborating within a cutting-edge team to enhance game development processes.
Tech Stack
Tools & technologiesAirflowAWSAzureCloudDockerGoogle Cloud PlatformKerasKubernetesNumpyPandasPythonPyTorchRemote SensingScikit-LearnTensorflow
About the role
Key responsibilities & impact- Research, design, implement, and support validation of ML and DL approaches for game development use cases
- Build robust pipelines for photogrammetry, terrain intelligence, point cloud processing, DEM analysis, and satellite-data-driven asset preparation
- Train, evaluate, fine-tune, and optimize models for quality, reliability, and production performance
- Support Head of ASIE to move ML capabilities from experimentation into staging and production-ready delivery
- Contribute to reproducible, testable, observable, and maintainable ML systems
- Support model packaging, inference workflows, versioning, monitoring, and long-term improvement
- Work across governed engineering environments, with attention to traceability, validation, and secure delivery
- Support collaboration with code, art, design, production, engineering, and technical stakeholders to ensure outputs are useful in real development workflows
- Support to develop reusable ML libraries, tooling, and frameworks that can support future game projects
- Document approaches, dependencies, assumptions, and operational procedures to support team delivery and sustainable ownership
Requirements
What you’ll need- Strong Python engineering skills, with proven hands-on machine learning experience
- Solid experience building, training, evaluating, and improving ML or DL models
- Strong practical experience with PyTorch and/or TensorFlow
- Good understanding of data preparation, feature pipelines, model evaluation, tuning, and deployment
- Experience working with computer vision, imagery, spatial datasets, raster data, point clouds, or similarly complex technical domains
- Experience writing production-quality code rather than working only in research notebooks
- Experience with version control and structured engineering workflows, ideally including GitLab and/or Perforce
- Ability to work effectively with multidisciplinary teams including code, art, design, production, and engineering
- Understanding of how to translate experimental or research-led work into usable systems
- Experience taking ML or DL systems beyond prototypes into development and assist in staging and/or production
- Familiarity with MLOps practices, including experiment tracking, reproducibility, model versioning, CI/CD, monitoring, and retraining workflows
- Experience with Docker; Podman, familiarity with Kubernetes
- Familiarity with MLflow, Kubeflow, Airflow, or similar orchestration / lifecycle tooling
- Experience building batch inference and/or API-based inference services
- Experience with GPU training, optimization, and large-scale data processing
- Experience with testing and validation practices for ML systems
- Understanding of secure, auditable, and traceable delivery in governed environments
- Geospatial computing, remote sensing, photogrammetry, point cloud / LiDAR processing, raster and terrain data engineering, environmental reconstruction, game development pipelines, AI-assisted content generation, and translation or NLP systems where relevant to other ASIE initiatives
- NumPy, Pandas, OpenCV, scikit-learn, scikit-image
- PyTorch, TensorFlow, Keras
- GDAL, Rasterio, PDAL, Open3D
- LAS / LAZ workflows, geospatial processing libraries, and cloud platforms such as Azure, AWS, or GCP
- Optional C++ capability
Benefits
Comp & perks- 22 days holidays + Christmas closure (typically 4 days) & Bank holidays (increasing with service at 5 years – one day each year until you reach 31 days)
- Private Medical Insurance, healthcare cash plan, including dental and Vision
- Life Assurance, Income Protection & Critical Illness Cover
- Enhanced Family Leave
- Interest Free, Tax-Free loans
- Enhanced Pension Scheme
- EAP a range of Mental Health and Wellbeing Support
- Plus loads more… including a wide range of discounts, freebies, and social events!
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonmachine learningdeep learningPyTorchTensorFlowdata preparationmodel evaluationDockerGPU trainingtesting and validation
Soft Skills
collaborationmultidisciplinary teamworkcommunicationproblem-solvingdocumentation