Senior Staff Engineer (Machine Learning) - 45391

Turing; Remote; GBP 80,000 - 100,000; Part time

Job summary

A leading AI research firm is seeking a hands-on Machine Learning Senior Staff Engineer to guide cross-functional teams in the development and deployment of advanced ML systems. This role includes leading the lifecycle of AI projects from research and training to production, providing technical direction, and ensuring successful collaboration with various teams. Ideal candidates possess a strong background in machine learning, deep learning frameworks, and team leadership, along with relevant academic qualifications.

Benefits

Fully remote environment

Cutting-edge AI projects

Qualifications

• Strong background in Machine Learning, NLP, and modern deep learning architectures.
• Hands-on experience with multiple ML frameworks.
• Proven experience managing teams delivering ML models in production.

Responsibilities

• Lead and mentor a cross-functional team.
• Oversee full lifecycle of LLM and ML projects.
• Collaborate with teams to define goals and success metrics.
• Implement best practices in MLOps and model governance.
• Communicate progress and risks to stakeholders.

Skills

Machine Learning

NLP

Deep Learning Architectures

PyTorch

TensorFlow

Docker

Team Management

Cloud Platforms (AWS, GCP, Azure)

MLOps Tools

Leadership

Education

Bachelor’s or Master’s in Computer Science, Engineering

PhD (preferred)

Tools

Hugging Face

DeepSpeed

MLflow

Kubeflow

Vertex AI

Job description

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, and top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview

Turing is seeking a hands‑on Machine Learning Senior Staff Engineer to lead cross‑functional teams building and deploying cutting‑edge LLM and ML systems. In this role, you’ll drive the full lifecycle of AI development — from research and large‑scale model training to production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You’ll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing’s AI initiatives deliver reliable, high‑performance systems that translate research breakthroughs into measurable business impact.

Roles & Responsibilities

• Lead and mentor a cross‑functional team of ML engineers, data scientists, and MLOps professionals.
• Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment.
• Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics.
• Provide technical direction on large‑scale model training, fine‑tuning, and distributed systems design.
• Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML.
• Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards.
• Communicate progress, risks, and results to stakeholders and executives effectively.
• Overlapping hours: 6 hours with PST time zone is mandatory.

Required Skills & Qualifications

• Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs).
• Hands‑on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed.
• Hands‑on experience with Docker for production deployment.
• Proven experience managing teams delivering ML/LLM models in production environments.
• Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure).
• Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines.
• Excellent leadership, communication, and cross‑functional collaboration skills.
• Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred).

Nice to Have

• Experience building agentic applications.
• Experience training or fine‑tuning foundation models.
• Contributions to open‑source ML or LLM frameworks.
• Understanding of Responsible AI, bias mitigation, and model interpretability.

Perks of Freelancing With Turing

• Work in a fully remote environment.
• Opportunity to work on cutting‑edge AI projects with leading LLM companies.

Offer Details

• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
• Employment type: Contractor assignment (no medical / paid leave).
• Duration of contract: 2 months; expected start date is next week.
• Timezone: US PST (6 hours overlap required 12pm PST to 6pm PST).

Evaluation Process (approximately 120 mins)

• Two rounds of interviews (60 min technical + 60 min technical & cultural discussion).

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

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