Company Description
SoftInWay UK Ltd. is an engineering solutions company recognized for its innovative software, engineering services, and educational offerings. The company is dedicated to providing cutting-edge solutions that advance the development and optimization of engineering designs, catering to a variety of industries. With a strong commitment to innovation and collaboration, SoftInWay fosters an environment for professionals to thrive and contribute to groundbreaking projects.
Role Description
This is a full-time, on-site role located in Bristol, United Kingdom for a Senior Machine Learning Engineer. The selected candidate will be responsible for:
* Architecting the ML Solver Platform:
* Define modular architecture for data preprocessing, model execution, and post-processing.
* Establish clear API contracts between Python/TensorFlow and C# services.
* Design, develop, and implement advanced machine learning algorithms and models, focusing on pattern recognition and neural network applications
* Productionizing ML Workflows:
* Convert research code into robust, testable, and observable services.
* Implement CI/CD pipelines, automated testing, and reproducibility standards.
* Integration & Interoperability:
* Design REST/gRPC endpoints for cross-language communication.
* Ensure compatibility with C#/.NET services.
* Performance & Scalability:
* Optimize GPU/CPU utilization, batching strategies, and memory management.
* Plan for multi-model and multi-tenant scenarios.
* MLOps & Lifecycle Management:
* Implement model versioning, artifact registries, and deployment workflows.
* Set up monitoring, logging, and alerting for solver performance.
* Security & Compliance:
* Apply best practices for secrets management, dependency scanning, and secure artifact storage.
Additional responsibilities include analyzing large datasets, developing and improving algorithms, and collaborating with cross-functional teams to address engineering challenges and deliver optimized solutions.
Required Skills & Experience
* ML Frameworks: Expert in TensorFlow (TF2/Keras), experience with ONNX Runtime for inference.
* Programming: Advanced Python for ML; strong understanding of packaging, type checking, and performance profiling.
* Architecture: Proven experience designing scalable ML systems for production.
* APIs: Proficiency in gRPC/Protobuf and REST for cross-language integration.
* MLOps: CI/CD pipelines, containerization (Docker/Kubernetes), model registries, reproducibility.
* Performance Optimization: GPU acceleration (CUDA/cuDNN), mixed precision, XLA, profiling.
* Observability: Metrics, tracing, structured logging, dashboards.
* Security: SBOM, image signing, role-based access, vulnerability scanning.
Qualifications
* Expertise in Pattern Recognition and Neural Networks
* Strong foundation in Computer Science and proficiency in developing scalable solutions
* In-depth knowledge of Statistics and advanced Algorithms
* Experience with tools and techniques relevant to machine learning and data analysis
* Master's or PhD in Computer Science, Data Science, Engineering, or a related field
* Problem-solving skills and the ability to collaborate with interdisciplinary teams
* Prior experience in the engineering, manufacturing, or industrial sector is a plus