Senior Staff Engineer (Machine Learning) – 45391

NLP PEOPLE; Remote; GBP 80,000 - 100,000; Part time

Job summary

A leading AI research firm in the UK seeks a hands-on Senior Staff Engineer to lead the development of cutting-edge machine learning systems. This role requires expertise in model training, team leadership, and deep learning architectures. Candidates must possess strong collaboration skills and ideally a degree in computer science or engineering. The position offers remote work opportunities and requires significant overlap with Pacific time, targeting candidates ready to engage in innovative AI projects over a two-month contract period.

Benefits

Fully remote working environment

Opportunity to work on cutting-edge AI projects

Qualifications

• Strong background in machine learning and NLP.
• Hands-on experience with deep learning frameworks.
• Experience managing teams in production environments.

Responsibilities

• Lead a cross-functional team of ML engineers and data scientists.
• Oversee the lifecycle of ML projects.
• Collaborate with multiple teams to define goals.

Skills

Machine Learning

Natural Language Processing (NLP)

Deep Learning Architectures

Leadership

Communication

Cross-functional Collaboration

Education

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

Tools

PyTorch

TensorFlow

Docker

AWS

GCP

Azure

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, plus 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.

This position is ideal for leaders who are still comfortable coding, optimizing large‑scale training pipelines, building collaborative notebooks that break the models and navigating the intersection of research, engineering, and product delivery.

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.
• Overlap of 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 in 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 minutes)

• Two rounds of interviews (60 minutes technical + 60 minutes 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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