Head of Artificial Intelligence - #1705003

Compensation

£100,000 – £120,000 basic + equity + performance‑related bonus + full benefits package

TL;DR

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  Role: Head of AI (practice‑building & thought‑leadership)


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  Location: UK‑based, fast‑growing data & AI consultancy for the energy sector


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  Cloud: Strong AWS (multi‑cloud desirable, certs a plus)


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  Line Management: Lead a small but growing practice (AI, MLOps, Data Science)


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  Consultancy / Energy Experience: Highly beneficial, not essential


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  Visa Sponsorship: Not available – you must already have the right to work in the UK


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  Flexibility: We welcome part‑time, condensed hours, job‑shares and other arrangements – if you’re unsure, apply and let’s talk


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  Diversity & Inclusion: We want a broad mix of people and perspectives

Who We Are

Hypercube Consulting is a rapidly scaling data‑and‑AI specialist focused on the energy sector. We pair deep domain know‑how with modern technology to help utilities, renewables and low‑carbon innovators unlock value from data. Learn more about how we think on our founder’s blog at https://aesroka.susbtack.com

Role Purpose

As Head of AI you will own the AI discipline within Hypercube. That means setting best practice, evolving our technical guard‑rails, shaping packaged offerings and guiding learning pathways for every AI practitioner in the business. You’ll split your time roughly 40 % billable (hands‑on technical oversight) and 60 % leadership, R&D and commercial activity.

What you’ll do

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  Technical Vision - Define and continuously update AI/ML best practice, guard‑rails and reference architectures; keep us ahead of the curve in GenAI, LLMOps and MLOps


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  Practice Building - Design the end‑to‑end learning journey for AI engineers, data scientists, and machine learning engineers; mentor and line‑manage; lead hiring interviews for your discipline


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  Delivery Oversight - Provide senior technical oversight on complex projects without being the day‑to‑day project lead, ensuring quality and de‑risking delivery


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  Product & IP - Turn repeatable solutions (e.g. RAG accelerators, model‑monitoring blueprints) into packaged offerings that shorten sales cycles and improve customer outcomes


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  Commercial & Pre‑Sales - Partner with sales to scope opportunities, run demos, estimate effort and shape proposals; evangelise AI at conferences, meet‑ups and on our blog

Technical Skills & Experience (core)

We understand this is a big list - please apply even if you don’t have it all covered - we want to speak to a broad range to assess the best fit:

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  AI Stack: Python, SQL, mathematics and statistics essential


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  Generative AI & LLMs: Designing and fine‑tuning foundation‑model solutions; RAG patterns; prompt‑engineering & evaluation


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  MLOps / LLMOps: CI/CD for models, feature stores, experiment tracking (MLflow, SageMaker, Azure ML, Vertex, etc.)


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  Cloud‑Native Delivery: Building scalable AI pipelines on AWS or Azure; Terraform/IaC familiarity


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  Python Excellence: Clean, testable code; performance optimisation; packaging & dependency management


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  Data Engineering for AI: Streaming & batch pipelines (Spark/Databricks), vector databases, metadata & lineage


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  Leadership: Proven experience guiding multi‑disciplinary teams and influencing C‑suite stakeholders

Nice‑to‑Have Extras

• Backend and cloud languages such as Spark, LangChain, Terraform


• Analytics and visualisation experience with tools like Power BI or Superset


• Energy‑sector exposure (trading, flexibility markets, renewables, grid optimisation)


• Kubernetes & container orchestration for model serving


• Event‑driven stacks (Kafka, Kinesis, Event Hubs)


• Open‑source contributions, public speaking, technical blogging


• Formal certifications (AWS Professional / Azure Expert / TOGAF, etc.)

Other Desirable Experience

• Building or scaling a consulting practice


• Product‑management mindset – shaping features, pricing, go‑to‑market


• Complex systems integration (OT + IT, edge inference, on‑prem connectivity)


• Strong commercial acumen – translating business value into technical roadmaps

What’s in It for You?

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  High Impact: Shape AI strategy for leading energy players tackling net‑zero challenges


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  Leadership Pathway: A visible seat on our Technical Leadership Team with direct influence on company strategy


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  Flexible Working: Remote/hybrid, part‑time or condensed options – we measure outcomes, not chair‑time


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  Personal Brand: We sponsor conferences, blog posts and OSS work – your thought‑leadership is encouraged


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  Start‑Up Energy, Consultancy Rigour: Best of both worlds – fast decisions, minimal bureaucracy, clear processes

Benefits

• Performance-Related Bonus


• Enhanced Pension


• Enhanced Maternity/Paternity


• Private Health Insurance


• Health Cash Plan


• Peer Cash Award Scheme


• Cycle-to-Work Scheme


• Flexible Working (remote/hybrid options)


• Events & Community involvement


• EV Leasing Scheme


• Training & Events Budget


• Mentorship Programmes

Diversity & Inclusion

Hypercube aims to mirror the diversity of wider society. We welcome applications from all backgrounds and guarantee that hiring decisions are based on merit and potential alone. If you need adjustments – flexible hours, interview tweaks, or anything else – just tell us.

Ready to Apply?

Even if you tick only some of the boxes, we’d still love to hear from you. Apply via our careers page or reach out to the talent team on LinkedIn. Let’s accelerate the energy transition together – one intelligent model at a time.