A forward-deployed Data Engineer partnering with end users to build, operate, and maintain scalable data and AI solutions for mission-driven operational environments.
Compensation
The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD).
Responsibilities
Own the full lifecycle of data and AI solution delivery
Requirements discovery and synthesis, development, test and evaluation, deployment, training, sustainment, and sunsetting
Guide customers through emerging technologies
Support multiple concurrent projects including full-stack development, data science, data engineering, modeling and simulation, and agentic AI workflows
Explore and integrate new services, platforms, and capabilities within the customer’s ecosystem
Data Scientist to help shape how multiple streams of real-world data are transformed into meaningful intelligence, working across the entire data science lifecycle from research to deployment using AI technologies.
Responsibilities
Shape how multiple streams of real-world data are transformed into meaningful intelligence
Develop solutions that identify anomalous behavior and uncover patterns
Define approaches and influence technical direction
Contribute across the full development lifecycle
Work with proprietary datasets, emerging AI technologies, and cloud-native platforms
Design and build agentic data and training workflows for Autonomous Vehicles, Robotics, and Medical applications using vision language models.
Compensation
The expected base salary ranges for this position are 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Responsibilities
Partner with researchers to develop and evaluate prototypes of our latest models, such as VLMs and VLAs, for video search, video understanding, and more.
Design and implement agentic data workflows that automate data discovery, labeling, evaluation, and retraining to maximize development velocity.
Build, curate, and maintain high-quality multimodal datasets (e.g., video, sensor, language/action traces) tailored for end-to-end physical AI problems.
Explore and productize new data sources including simulation and synthetic data.
Use agentic AI workflows across the full applied research lifecycle.
Design, build, and deploy intelligent systems that power Glance’s personalized lock screen and live entertainment experiences, blending classical machine learning with agentic AI.
Responsibilities
Design and develop large-scale recommendation systems using advanced ML, statistical modeling, ranking algorithms, and deep learning
Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding
Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact
Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts
Monitor ML model performance using statistical techniques; identify drifts, failure modes, and improvement opportunities
We are looking for a Staff AI/ML Engineer to become the founding technical lead for ENSEK's AI/ML Platform, shaping a new strategic capability from the ground up.
Locations (3)
London, England, United Kingdom
Nottingham, England, United Kingdom
United Kingdom
Responsibilities
Lead the architecture, technical strategy and roadmap for ENSEK's AI/ML Platform
Design and build production-ready golden paths for Machine Learning, GenAI and Agentic AI solutions
Establish standards for model lifecycle management, prompt versioning, deployment, serving, retrieval-augmented generation (RAG), orchestration and secure tool access
Build robust MLOps and LLMOps capabilities, including evaluation frameworks, experimentation tooling, observability, monitoring and cost management
Lead AI‑first and agentic modeling projects for Verizon’s network capacity planning, designing and executing advanced analytics to support capital budgeting and operational decisions.
Compensation
The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $101,000.00 - $194,000.00.
Responsibilities
Develop AI, agent‑based and algorithmic models for network capacity planning
Plan and execute design of new capacity models
Operate models across checkpoints and document deployment
Plan future upgrades with alternate algorithms
Leverage AI tools such as LLM‑assisted coding and automated documentation
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