Senior AI Engineer
scrumconnect ltd, Staines-upon-Thames, Surrey
Senior AI Engineer
Salary not available. View on company website.
scrumconnect ltd, Staines-upon-Thames, Surrey
- Full time
- Permanent
- Onsite working
Posted 2 weeks ago, 10 Jul | Get your application in now before you miss out!
Closing date: Closing date not specified
job Ref: aff11f5137974b9584bf48f7339f4701
Full Job Description
As a Senior AI Engineer, you will play a critical role in designing, developing, and deploying AI/ML solutions. You'll work closely with the CTO and cross-functional teams to deliver cutting-edge AI capabilities that power our products. This is a hands-on role requiring expertise in rapid prototyping, production optimisation, and collaboration with product and engineering teams. In this role, you will:
- Drive AI strategy and execution within a dynamic environment.
- Build, train, and deploy state-of-the-art models (eg, deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures).
- Design infrastructure for data ingestion, experimentation, model versioning, and monitoring.
- Collaborate with product, design, and DevOps teams to integrate AI features into our platform.
- Stay current with AI research, open-source tools, and frameworks to maintain a leading edge.
- Support and mentor junior engineers as the team grows., 1. Architecture & Hands-On Development
- Implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference.
- Rapidly prototype novel models using PyTorch, TensorFlow, JAX, or equivalent.
- Productionize models in cloud/on-prem environments (AWS/GCP/Azure) with containerization (Docker/Kubernetes). 2. Data & Infrastructure
- Build and maintain scalable data pipelines (ETL/ELT) and data lakes/warehouses.
- Establish best practices for data labeling, versioning, and governance.
- Implement MLOps processes: CI/CD for model training, automated testing, model drift detection, and continuous monitoring. 3. Research & Innovation
- Monitor state-of-the-art AI advancements (eg, pre-training, fine-tuning, generative methods).
- Evaluate applicability of new research and tools to improve product capabilities. 4. Collaboration & Mentorship
- Work closely with cross-functional teams to translate business needs into technical solutions.
- Contribute to building a strong AI/ML culture and mentor junior engineers when needed.
10+ years of experience in designing and deploying AI/ML systems end-to-end. - Strong hands-on expertise in building and deploying deep learning models (eg, CNNs, Transformers, graph neural networks).
- Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face).
- Solid software engineering background: data structures, algorithms, distributed systems, and version control (Git).
- Experience designing scalable ML infrastructure on cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML).
- Knowledge of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect), and streaming frameworks (Spark, Kafka).
- Strong communication skills-able to explain complex concepts to technical and non-technical stakeholders. Preferred (Nice-to-Have)
- Experience in early-stage startups or AI product development from 0-1.
- Familiarity with large-scale language models (LLMs) and prompt engineering (eg, GPT, BERT, T5 family).
- Knowledge of on-device/edge AI deployments (eg, TensorFlow Lite, ONNX).
- Exposure to MLOps tools (MLflow, Weights & Biases, Kubeflow).
- Contributions to open-source projects or publications in top-tier AI/ML conferences (NeurIPS, ICML, CVPR, ACL). Soft Skills & Cultural Fit
- Doer Mindset: Comfortable rolling up your sleeves to prototype and iterate quickly.
- Bias for Action: Focused on delivering MVPs and iterating based on feedback.
- Ownership Mentality: Takes responsibility for system performance and feature success.
- Collaborative Attitude: Thrives in cross-functional environments and transitions easily between research and engineering tasks.
- Growth-Oriented: Continuously seeks to learn and stay on the cutting edge of AI developments.
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