Head of Artificial Intelligence

Scrumconnect Consulting; Staines-upon-Thames; On-site; GBP 85,000 - 130,000; Full time

Job summary

As the Head of AI at a leading consulting firm, you will spearhead our AI/ML initiatives from research through to production. With a strong focus on team leadership and technical execution, you will play a pivotal role in shaping our AI strategy and driving innovation in a fast-paced environment. The position offers competitive compensation and a unique opportunity to influence the future of AI development within the company.

Benefits

Competitive Compensation

Flexible Work Environment

Learning Budget

Fast-Track Growth Opportunities

Qualifications

• 7+ years of experience in AI/ML, with 3+ years in a lead role.
• Proven track record of shipping AI/ML products.
• Hands-on expertise in deep learning models in production.

Responsibilities

• Lead the AI strategy and execution in a high-ambiguity environment.
• Rapidly prototype AI models and oversee their production deployment.
• Collaborate with cross-functional teams to integrate AI features.

Skills

Deep Learning

NLP

Computer Vision

Reinforcement Learning

Python

Leadership

Education

Master's in Computer Science or related field

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Git

Job description

As Head of AI, you will be the primary technical driver of all AI/ML initiatives. You’ll report directly to the CEO/CTO and own the full lifecycle of our AI roadmap—from research and proof-of-concept to scalable production. We’re looking for a “doer” who can rapidly prototype models, optimize for performance, and mentor junior engineers, all while helping define product strategy. In this role, you will:

• Lead AI strategy and execution in a high-ambiguity environment.

• Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures).

• Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring.

• Collaborate closely with product, design, and DevOps to integrate AI features into our platform.

• Continuously evaluate new research, open-source tools, and emerging frameworks to keep us at the forefront.

• Recruit, mentor, and grow an AI/ML team as we scale beyond our seed round.

Key Responsibilities

• Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference.

• Rapidly prototype novel models (e.g., neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent.

• Productionize models in cloud/on-prem environments (AWS/GCP/Azure) with containerization (Docker/Kubernetes) and ensure low-latency, high-availability inference.

2. Strategic Leadership

• Develop a multi-quarter AI roadmap aligned with product milestones and fundraising milestones.

• Identify and evaluate opportunities for AI-driven competitive advantages (e.g., proprietary data, unique model architectures, transfer/few-shot learning).

• Collaborate with business stakeholders to translate “big problems” into technically feasible AI solutions.

3. Data & Infrastructure

• Oversee the creation and maintenance of scalable data pipelines (ETL/ELT) and data lakes/warehouses.

• Establish best practices for data labeling, versioning, and governance to ensure high data quality.

• Implement ML Ops processes: CI/CD for model training, automated testing, model–drift detection, and continuous monitoring.

• Hire and mentor AI/ML engineers, data scientists, and research interns.

• Set coding standards, model-development guidelines, and rigor around reproducible experiments (e.g., clear Git workflow, experiment tracking).

• Conduct regular code/model reviews and foster a culture of “learn by doing” and iterative improvement.

• Stay abreast of state-of-the-art AI research (e.g., pre-training, fine-tuning, generative methods) and evaluate applicability.

• Publish or present whitepapers/prototype demos if appropriate (keeping stealth constraints in mind).

• Forge partnerships with academic labs or open-source communities to accelerate innovation.

Minimum Qualifications

• Experience (7 + years total; 3 + years in senior/lead role):

• Demonstrated track record of shipping AI/ML products end-to-end (from prototype to production).

• Hands-on expertise building and deploying deep learning models (e.g., CNNs, Transformers, graph neural networks) in real-world applications.

• Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.).

• Strong 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, or equivalent).

• Solid understanding of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect, or similar), and batch/streaming frameworks (Spark, Kafka).

• Proven ability to lead cross-functional teams in ambiguous startup settings.

• Exceptional written and verbal communication skills—able to explain complex concepts to both technical and non-technical stakeholders.

• Experience recruiting and mentoring engineers or data scientists in a fast-paced environment.

• Bachelor’s or Master’s in Computer Science, AI/ML, Electrical Engineering, Statistics, or a related field. (Ph.D. in AI/ML is a plus but not required if hands-on experience is extensive.)

Preferred (Nice-to-Have)

• Prior experience in a stealth-mode or early-stage startup, ideally taking an AI product from 0 → 1

• Background in a relevant domain (e.g., healthcare AI, autonomous systems, finance, robotics, computer vision, or NLP).

• Hands-on experience with large-scale language models (LLMs) and prompt engineering (e.g., GPT, BERT, T5 family).

• Familiarity with on-device or edge-AI deployments (e.g., TensorFlow Lite, ONNX, mobile/embedded inference).

• Knowledge of MLOps tooling (MLflow, Weights & Biases, Kubeflow, or similar) for experiment tracking and model governance.

• Open-source contributions or published papers in top-tier AI/ML conferences (NeurIPS, ICML, CVPR, ACL, etc.).

Soft Skills & Cultural Fit

• “Doer” Mindset: You thrive in scrappy, ambiguous environments. You’ll roll up your sleeves to write production code, prototype research ideas, and iterate quickly.

• Bias for Action: You favor shipping an MVP quickly, measuring impact, and iterating—over striving for perfect academic proofs that never see production.

• Ownership Mentality: You treat the startup as your own: you take responsibility for system uptime, data integrity, and feature adoption, not just model accuracy.

• Collaborative Attitude: You value cross-functional teamwork and can pivot between “researcher mode” and “software engineer mode” depending on the task at hand.

• Growth-Oriented: You continually learn new algorithms, architectures, and engineering best practices; you encourage team members to do the same.

What We Offer

• Competitive Compensation: Salary aligned with early-stage startup benchmarks; a large portion of the upside is in equity.

• Autonomy & Impact: You’ll shape the technical direction of our AI stack and lay the groundwork for a market-leading product.

• Flexible Work Environment: Remote-friendly with occasional in-person retreats or team meetups.

• Learning Budget: Funds for conferences, courses, or publications to ensure you stay at the bleeding edge.

• Fast-Track Growth: As our first AI hire and eventual team leader, you’ll rapidly expand your responsibilities—and the team you build—within months.

How to Apply

Please send your resume/CV and a brief cover letter to [e-mail] with the subject line:

Head of AI Application – [Your Name]

1. A recent project where you built and deployed an AI/ML system end-to-end (include technical stack and impact).

2. Any leadership or mentoring experience guiding other engineers or data scientists.

3. Why you’re excited to join a stealth startup and move quickly from prototype to production.

We will review applications on a rolling basis and aim to schedule initial calls within two weeks of receipt.

We are committed to building a diverse team and welcome applicants of all backgrounds. We celebrate differences and encourage individuals who thrive in a fast-paced, collaborative, and impact-driven culture to apply.

Ready to build world-class AI from day one? Come join us and help shape the future.

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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