Staff AI Engineer
GlobalLogic6 days ago
London, United KingdomStaff+
Responsibilities
- Lead or co-lead data and AI engagements end to end, owning the quality of deliverables and work structure.
- Apply design thinking, user research, and quantitative analysis to create data-led products and services.
- Facilitate client discovery sessions and workshops to identify pain points, opportunities, and data sources.
- Design and build predictive and prescriptive models for personalization, recommendations, lead scoring, CLTV, forecasting, and risk detection.
- Design and prototype secure, compliant GenAI and LLM solutions using RAG, agentic workflows, and summarization.
- Build BI dashboards and data products and define KPIs and analytics layers.
- Develop data strategies, data-to-decision mappings, and phased technical roadmaps.
- Present work to client stakeholders, including C-suite and board-level audiences.
- Support sales pursuits through project scoping, proposals, SOWs, and rapid proofs of concept.
- Champion MLOps, cloud architecture, and code quality while reviewing other Data Designers' work.
- Mentor junior Data Designers, interns, and residency members and contribute to onboarding materials.
Requirements
- At least 4 years of experience in data science, ML engineering, or data consulting, including leadership of client-facing projects.
- Experience designing and deploying ML models for personalization, recommendations, lead scoring, CLTV, churn, or risk.
- Knowledge of recommendation and personalization methods including collaborative filtering, content-based filtering, matrix factorization, embeddings, contextual personalization, and UI personalization.
- Hands-on experience with LLMs and GenAI, including prompt design, RAG, vector databases, and frameworks such as LangChain, LangGraph, or Hugging Face.
- Strong Python and SQL skills and working knowledge of pandas, scikit-learn, PyTorch or TensorFlow, and XGBoost.
- Experience with cloud data and ML platforms, preferably AWS or GCP, plus MLOps practices involving MLflow, Docker, and infrastructure as code.
- Ability to build BI dashboards with Power BI or Tableau and visual prototypes with tools such as Streamlit or React.
- Strong written, verbal, and visual communication skills with experience presenting to senior non-technical stakeholders.
- Confidence running workshops and discovery sessions and translating ambiguous problems into clear scope.
- Pre-sales experience, including scoping, proposal and SOW writing, and POC development, is desirable.
- Experience with agentic AI, NLP, forecasting, Monte Carlo simulation, or reinforcement learning is desirable.
- Data engineering exposure to Airflow, Spark, Snowflake, PostgreSQL, or MongoDB is desirable.
- Experience hiring and mentoring or improving team tooling and ways of working is desirable.
- A STEM degree or equivalent practical experience is desirable.
Benefits
- Remote-first work arrangement with occasional travel to the London office.
- Continuing education opportunities.
- Flexible PTO and work-from-home policies.
- Pension and health and dental benefits.
- Company lunches, outings, snacks, health and wellness programs, and location-specific perks.
Tech Stack
Apache AirflowApache SparkAWSDockerGoogle Cloud PlatformMLflowMongoDBPandasPostgreSQLPythonPyTorchReactscikit-learnSnowflakeSQLTensorFlowXGBoost
Categories
About GlobalLogic
GlobalLogic provides full-lifecycle product development and digital engineering services for enterprises, covering product design, UX, platform engineering, testing, and content engineering. The company operates a services model, building software and embedded systems for clients across industries such as automotive, healthcare, and communications. Founded in 2000 and headquartered in Santa Clara, it is a Hitachi Group company following its acquisition.