Lead AI Scientist (Head of AI Innovation)

Squarcle
Bristol
9 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist: AI for Workday

Lead Data Scientist — AI for Workday Systems

Lead Data Scientist & ML Researcher

Benefit Risk Data Scientist — AI & Analytics Lead

Senior Data Scientist & ML Researcher - Hybrid, UK Defence

AI Lead, AI Engineer Lead, Generative AI Engineer, Machine Learning Engineer, AI Platform Engineer, NLP Engineer, Applied AI Engineer, AI Integration Specialist, AI Software Engineer, AI Systems Architect, AI Engineer, AI Development Lead,

About Squarcle:

Squarcle is a growing strategy, operations, and digital consultancy dedicated to transforming complex business challenges into innovative solutions. Our mission is to drive meaningful progress for our clients through data-driven insights, advanced technology, and exceptional people. At Squarcle, we foster an inclusive, collaborative culture where innovation thrives, and talent is recognised and rewarded.


Introducing Squarcle Labs:

Squarcle Labs is our dedicated AI innovation hub, committed to pioneering cutting-edge artificial intelligence solutions that revolutionise decision-making, automation, and digital transformation. We strive to establish ourselves as industry leaders in applied AI, delivering transformative impacts to our clients across multiple sectors.


Role Overview:

As our Lead AI Scientist, you will spearhead Squarcle Labs, leading the strategic direction and operational execution of our AI innovation initiatives. Reporting to the Managing Director for Digital, your role will be pivotal in developing enterprise-grade AI products and proprietary intellectual property, positioning Squarcle at the forefront of AI innovation. You will drive AI experimentation, product development, and thought leadership, building a highly skilled team to deliver transformative client solutions.


Primary Responsibilities:

  • Strategic Leadership:Set the strategic vision for AI innovation at Squarcle Labs, aligning initiatives with business objectives and market opportunities.
  • AI Experimentation:Lead agile experimentation cycles, delivering proofs of concept and piloting enterprise-ready AI solutions.
  • Product Development:Drive the development of proprietary AI assets, including reusable models, automation frameworks, and advanced analytics tools.
  • Technical Excellence:Oversee the architecture and deployment of robust AI solutions using hybrid cloud and on-premise high-performance computing environments.
  • Ethics, Governance & Responsible AI:Implement ethical AI frameworks and governance structures, ensuring models are fair, transparent, secure, and aligned with legal and societal expectations.
  • Thought Leadership:Publish research and white papers, represent Squarcle Labs at leading industry events, and enhance our market presence through strategic partnerships.
  • Team Building & Mentorship:Recruit, lead, and mentor a high-performing team of AI specialists, fostering a culture of continuous learning and innovation.
  • Stakeholder Engagement:Collaborate closely with internal stakeholders and clients to integrate AI solutions effectively across digital transformation, data analytics, and technology services.


Knowledge, Skills, and Experience (Essential):

  • Proven leadership experience in AI innovation, applied data science, and machine learning.
  • Deep technical expertise in AI/ML model development, deployment, and governance frameworks.
  • Solid understanding of AI architectures such as Transformers, Graph Neural Networks, Adversarial Networks, and Recurrent Networks.
  • Hands-on experience with modern AI frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face).
  • Expert proficiency in programming languages including Python, CUDA, and C++.
  • Strong understanding of data pipelines, data engineering, and infrastructure resilience.
  • Exceptional strategic thinking, problem-solving, and agile delivery capabilities.
  • Strong communication and interpersonal skills, with the ability to engage effectively with senior leadership and external clients.
  • Track record of delivering successful AI-driven products or solutions within commercial or public sector environments.


Knowledge, Skills, and Experience (Desirable):

  • Experience with cloud platforms (Azure ML, Azure Databricks, AWS SageMaker).
  • Familiarity with Defence, public sector, healthcare, or similar industry verticals.
  • Advanced qualifications (Masters or PhD) in AI, machine learning, computer science, or a related discipline, or equivalent experience.


Why Squarcle?

Join Squarcle and become part of a dynamic, inclusive, and forward-thinking team. You'll have the opportunity to lead transformative AI projects that make a real-world impact, fostering innovation and shaping the future of digital consultancy.


Apply Today:

If you're passionate about AI innovation and eager to make a lasting difference, we'd love to hear from you. Take the next step in your career by joining Squarcle Labs.


This role requires you to have lived in the UK for the last 5 years and obtainSecurity Check (SC) security clearance. Clearance must be obtained without any caveats that prevent you from carrying out the role you’ve been recruited for. If it isn’t obtained, or is obtained but with caveats that prevent you from carrying out the role, any conditional offer made to you will be withdrawn. Obtaining SC security clearance can be a lengthy process, and we reserve the right to withdraw any conditional offer made if the necessary security clearance isn’t obtained within 6 months. If you hold dual citizenship or nationality from another country, please make us aware of this during the application phase. We’re unable to offer visa sponsorship.


Privacy Policy - Squarcle Consulting Ltd

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.