Data scientist Work, Jobs in Newport, Nwp (with Salaries)

Principal Machine Learning Engineer – Production Systems
SoftInWay Inc. —Weston-super-Mare
- Machine learning
- APIs
- Python
Lead Engineer - AI Agents
M-KOPA —Bristol
- Full-time
- Remote
- AI
- Leadership
3d
Senior Analyst - Data Enrichment
Somerset Bridge Group —Cribbs Causeway
- £68,000 - £75,000 a year
- Full-time
- Hybrid work
- SQL
- Communication skills
- Python
- Annual leave
- Referral programme
Quick apply
10d
Research Associate / Senior Research Associate in Medical Statistics and Health Data Science
University of Bristol —Bristol
- £39,906 - £50,253 a year
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- SQL
Senior Data Scientist
RAC —Almondsbury
- Hybrid work
- Azure
- Engineering
- Data analysis skills
- Annual leave
- Flexible schedule
Data Science Lead - 12 month FTC
Unite Students —Bristol
- Sales
- Marketing
- SQL
- Annual leave
- Employee assistance programme
Senior Data Science Innovator
DNV —Bristol
- Hybrid work
- Master's degree
- Maths
- Bachelor's degree
- Flexible schedule
8d
Staff Engineer (ML Engineer)
Graphcore —Bristol
- Machine learning
- Linux
- Python
- Annual leave
Senior Engineer (ML Engineer)
Graphcore —Bristol
- Machine learning
- Linux
- Python
- Annual leave
Domain Expert - Responsible AI, Ethics & Assurance
Methods Business and Digital Technology —Bristol
- £80,000 - £120,000 a year
- Full-time
- Hybrid work
- Sales
- Travel
- Mentoring
- Employee assistance programme
Quick apply
Head of Electrical Distribution Analytics
Toumetis —Bristol
- Full-time
- Hybrid work
- Engineering
- Data analysis skills
- Master's degree
- Free parking
- Paid training
Quick apply
Senior AI Consultant
Snap Analytics —Bristol
- Full-time
- Hybrid work
- SQL
- Maths
- Machine learning
Quick apply
11d

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Principal Machine Learning Engineer – Production Systems

SoftInWay Inc.
Weston-super-Mare

Apply Now

Job details

Qualifications

TensorFlow
Kubernetes
PyTorch
C#
.NET
Docker
Machine learning
REST
GitHub
APIs
Keras
gRPC
GitLab
Python

Full job description

Overview

We are seeking a highly experienced ML Systems Architect to design and implement a scalable, production-grade architecture for our machine learning solver. This role bridges research prototypes and commercial deployment, ensuring reliability, maintainability, and performance in a mixed technology stack.

Responsibilities

Architect 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.
Productionize 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.

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.

Preferred Qualifications

Experience with ONNX Runtime Training, PyTorch, or hybrid ML architectures.
Familiarity with distributed training strategies and multi-GPU setups.
Knowledge of feature stores and data validation frameworks.
Exposure to regulated environments and compliance frameworks.

Tools & Technologies

ML: TensorFlow, ONNX Runtime, tf2onnx.
APIs: FastAPI, gRPC.
DevOps: GitLab CI/GitHub Actions, Docker, Kubernetes.
Monitoring: Prometheus, Grafana, OpenTelemetry.
Security: HashiCorp Vault, Sigstore.

Why Join Us?

Work on cutting-edge ML solutions integrated into commercial engineering software.
Define architecture that scales across global deployments.
Collaborate with a team of experts in ML, software engineering, and UI development.

To apply: Send your resume and a brief cover letter to [email protected]

Apply Now

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data scientist jobs in newport, nwp

Principal Machine Learning Engineer – Production Systems

Lead Engineer - AI Agents

Senior Analyst - Data Enrichment

Research Associate / Senior Research Associate in Medical Statistics and Health Data Science

Senior Data Scientist

Data Science Lead - 12 month FTC

Senior Data Science Innovator

Staff Engineer (ML Engineer)

Senior Engineer (ML Engineer)

Domain Expert - Responsible AI, Ethics & Assurance

Head of Electrical Distribution Analytics

Senior AI Consultant

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