Future Tech Jobs Future Tech Jobs

Head of AI & Automation

Experis
United Kingdom
2 weeks ago
£85,000 – £100,000 pa

Salary

£85,000 – £100,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Director
Education
Degree
Posted
6 May 2026 (2 weeks ago)

Benefits

Bonus Benefits
Share
Save job
Create job alert

Head of AI & Automation

Hybrid: 1-2 days per week in the office (North West)

Permanent

Paying up to £100k + bonus + bens

Experis are partnering with a large, well-established organisation as they continue to accelerate their digital and operational transformation agenda. We are supporting them in the search for an experienced AI and Automation Lead to own and deliver a multi-year strategy focused on leveraging artificial intelligence and automation across their operations.

This is a high-impact leadership role, responsible for shaping AI adoption across support centre and knowledge worker environments, with a focus on improving productivity, reducing cost, and enhancing customer experience.

What You'll Be Doing

Defining and owning the organisation's AI and automation strategy, aligned to wider digital transformation goals

Identifying, prioritising, and delivering high-value AI use cases across operations and support functions

Leading the end-to-end delivery of AI solutions from proof of concept through to production

Building, scaling, and developing a small in-house AI engineering capability

Driving adoption of AI solutions (e.g. chatbots, intelligent document processing, workflow automation, predictive analytics) into day-to-day business processes

Acting as a trusted advisor to senior stakeholders, translating AI opportunities into tangible business outcomes

Managing third-party vendors and delivery partners, ensuring quality, value, and alignment to outcomes

Establishing AI governance frameworks, covering data ethics, model performance, and responsible AI usage

Defining and tracking ROI and success metrics across AI initiatives

Leading training and change initiatives to embed AI across the workforce

Experience Required

Proven experience leading AI, machine learning, or intelligent automation initiatives in a mid-to-large organisation

Strong hands-on knowledge of generative AI (LLMs, RAG architectures) and/or agentic AI frameworks

Experience building or scaling AI / data science teams

Track record of delivering AI solutions into production environments, not just proof of concept

Experience working with cloud platforms (Azure, AWS or GCP)

Exposure to vendor-led delivery models and partner ecosystems

Strong understanding of data governance, AI ethics, and responsible AI principles

Experience in customer operations / contact centre environments would be highly advantageous

Excellent stakeholder management skills, with the ability to influence at senior level and communicate complex ideas clearly

If you'd like to learn more, please contact Jacob Ferdinand at

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Director of Engineering (ML Platform), London

Isomorphic Labs London, United Kingdom
On-site

GRC Analyst

Synthesia London, United Kingdom
Remote

Revenue Enablement Manager - Services

Synthesia London, United Kingdom
Hybrid

Senior Revenue Enablement Manager - Services

Synthesia London, United Kingdom
Hybrid

Account Manager

PolyAI London, United Kingdom
On-site

Content & Communications Strategist

PhysicsX London, United Kingdom

Industry Insights

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

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Machine Learning roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.