AI Technology Tech Lead in City of Westminster

AI Technology Tech Lead in City of Westminster

City of Westminster Full-Time 80000 - 100000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the design and deployment of innovative AI solutions using Databricks and Microsoft Foundry.
  • Company: Join Marks & Spencer, a leader in retail with a commitment to innovation and diversity.
  • Benefits: Enjoy discounts, competitive holidays, bonuses, and tailored training programmes.
  • Other info: Be part of an inclusive environment that values your unique contributions.
  • Why this job: Shape the future of AI while mentoring a high-performing team and driving real impact.
  • Qualifications: Extensive experience in Data, AI, and ML with strong leadership skills.

The predicted salary is between 80000 - 100000 £ per year.

Job Responsibilities and Qualifications

Lead the design, development, and deployment of scalable, secure, and governed Data & AI solutions using Databricks and Microsoft Foundry.

Define and shape the technical roadmap for AI and automation capabilities, aligning platform strategy with business priorities.

Lead and mentor a high‑performing AI engineering squad, driving innovation, technical excellence, and delivery outcomes.

Partner with business stakeholders to identify high‑value use cases, rapidly prototype solutions, and scale successful AI products into production.

Ensure robust AI governance, security, ethical AI practices, and seamless integration of solutions into enterprise platforms and business processes.

Extensive experience delivering Data, AI, ML, and Generative AI solutions, with strong hands‑on expertise in Databricks, Microsoft Foundry, and the wider Azure ecosystem.

Proven leader of engineering and AI teams, with a track record of coaching talent and building high‑performing technical squads.

Commercially minded problem solver with the ability to translate complex business challenges into practical, value‑driven AI solutions.

Strong communicator and influencer, capable of engaging both technical and non‑technical stakeholders and articulating the value of AI.

Passionate about Data & AI innovation, continuously exploring emerging technologies, market trends, and opportunities to enhance business outcomes.

Benefits

  • 20% colleague discount across all M&S products and many third‑party brands after probationary period.
  • Competitive holiday entitlement with the option to purchase additional holiday days.
  • Discretionary bonus schemes based on personal objectives and business performance.
  • Defined Contribution Pension Scheme and Life Assurance.
  • Tailored induction and a wide range of training programmes to develop your skills.
  • Perks and discounts via the M&S Choices portal to maximise financial and personal wellbeing.
  • Industry‑leading parental, adoption and neonatal policies providing support and flexibility for your family.
  • 24/7 Virtual GP and PAM Assist wellbeing support for colleagues and their families.
  • Charity volunteer day, allowing you to support a charity or cause you’re passionate about through a dedicated day away from work.
  • Inclusive Environment

Marks & Spencer is committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best.

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AI Technology Tech Lead in City of Westminster employer: Marks and Spencer plc (UK)

Marks and Spencer plc is an exceptional employer, offering a vibrant work culture that thrives on teamwork and collaboration. Located in Kingston upon Thames, employees benefit from a dynamic retail environment where they can grow their skills in fashion and customer service while enjoying opportunities for personal development and career advancement. With a commitment to providing a remarkable shopping experience, Marks and Spencer fosters a supportive atmosphere that values passion and adaptability.

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Contact Details:

Marks and Spencer plc (UK) Recruitment Team

We think you need these skills to ace AI Technology Tech Lead in City of Westminster

Data & AI Solutions Development
Databricks
Microsoft Foundry
Azure Ecosystem
AI Governance
Ethical AI Practices
Machine Learning (ML)