Artificial Intelligence

• **What you will do**
• **Build and own the platform** - Design, train, and validate production clinical AI across the portfolio. Own the reusable, multi-modal infrastructure and explainability layer that ships fast and safely. With Product, Commercial, and Clinical, choose what to build next, weighing clinical value, data, regulatory burden, and commercial pull. With QARA and Clinical, lead validation to prove each model meets its intended use, then work with engineering to get it production-ready.
• **Monitor and maintain** - Own model performance once deployed. Drift, bias and fairness monitoring, local calibration, continual learning and domain adaptation. Understand how this feeds our PMS/PMCF obligations and think about PCCP.
• **Lead** - You are the benchmark for the team. Setting technical direction, mentoring and owning the team's delivery and growth.
• **Communicate and represent** - Be Sanome's technical voice for clinical AI externally, through conferences, webinars, white papers, and co-authored publications, building our credibility with clinicians, partners, and the wider field.

Head of Clinical AI

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable solution architectures, using Omnea's AI to eliminate manual work across procurement.
• Prototype and Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realisation of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organisation.

Applied AI Consultant

• Design the end to end journey of a service to enable a user to complete their goals
• Creation of design assets to drive business outcomes
• Collaborate closely with other functions/business divisions
• Engage in complex analysis of data from multiple sources
• Take ownership for managing risk and strengthening controls

Senior Conversational AI Analyst

• Lead strategy for key Agentic AI domains
• Work closely with business and technology teams to identify and shape high-impact AI opportunities
• Develop clear strategy artefacts to support prioritisation and decision-making
• Turn strategy into actionable plans—driving delivery, tracking progress
• Identify and manage risks, dependencies, and trade-offs across the full lifecycle
• Build strong relationships with partners, ensuring alignment and keeping initiatives on track
• Champion measurable outcomes, supporting value definition and tracking

Senior AI Strategy Manager

• Defining and owning the AI Services strategy and roadmap, with a clear path to revenue and profitability, and owning the P&L end-to-end — pricing, unit economics, the lot.
• Identifying and prioritising AI-driven revenue opportunities across consumer and trade audiences, and building the business cases that bring them to life for the CEO and Board.
• Partnering closely with our COO and CTO to shape and deliver the AI product roadmap, building products that solve genuine problems for homeowners and tradespeople alike.
• Staying on top of where AI is heading — LLMs, agentic systems, computer vision — and translating that into what's genuinely useful for our customers, managing any third-party AI partners along the way.
• Recruiting and leading a cross-functional team across product, engineering, data science and commercial, and building a culture of innovation and pace that attracts great people.
• Representing AI Services on the OpCo and working closely with Marketing, Sales and Operations to embed AI into how we already work — while keeping a close eye on the regulatory and ethical side of deploying AI products.

GM, AI Services

• Own and drive the roadmap for AI-enablement and the digital application portfolio
• Lead, develop and inspire a team of application owners and AI engineers
• Own the lifecycle of the firm’s digital applications — from discovery and design through build, release, and ongoing support and iteration
• Lead the design, build and deployment of AI capabilities — such as generative AI, intelligent automation, copilots and document/data extraction
• Collaborate with stakeholders across Operations, Compliance, Product, IT and Client Services

Head of AI – Application Delivery

• Act as Product Owner for the firm's AI portfolio, owning and evolving the enterprise-wide AI roadmap
• Act as the principal advocate for AI across the executive, partner group, and consultant population
• Set the direction on build vs. buy
• Lead the AI Transformation team: AI Solution Architect, AI Developers, and AI Business Analysts
• Own the delivery pipeline, determining what is prioritised, deferred, or deprioritised
• Run the team's operating rhythm through Azure DevOps
• Establish and maintain the AI governance model
• Champion the firm-wide AI tooling stack
• Drive adoption of AI capability across UK, Europe, US and APAC consultant populations

Head of AI Transformation

• Provide strategic guidance on industry trends, technology, and market opportunities
• Support evaluation of potential investments and emerging startups
• Introduce high-quality founders, investors, and ecosystem partners
• Mentor and advise founders within the 16VC portfolio
• Contribute to the development of 16VC’s investment theses and ecosystem initiatives

Chief AI Officer – Strategic Advisor

• Own and evolve AND’s Data & AI proposition, partnerships, and thought leadership.
• Be a visible leader in the Data community—driving consistency, quality, and innovation.
• Develop training and mentoring to grow internal capability.
• Act as a trusted advisor to C-suite stakeholders (CTO/CDO/CPO).
• Build relationships that uncover client challenges and opportunities.
• Show the art of the possible in Data & AI, connecting innovation to measurable outcomes.
• Translate complex business needs into compelling, value-driven Data & AI solutions.
• Guide teams to deliver against vision and ensure robust, outcome-focused delivery.
• Support business case development and pre-sales.
• Identify, qualify, and shape new opportunities across AND.
• Partner with Client Teams to develop deals, coach others, and influence outcomes.
• Achieve a leveraged revenue impact target of around £2m+.
• Provide senior oversight, coaching, and technical challenge across engagements.
• Champion excellence and act as a role model for proactive, positive leadership.

Solution Director – Data & AI

• Work on high impact AI projects at Orbital
• Reinforcement Learning with Verifiable Rewards (RLVR), post-training for engineering and materials discovery tasks
• Building evolutionary systems that compose LLMs at test-time to solve scientific problems
• Distributed training of large scale simulation/generative models of 3D systems

AI Residency Programme

• Create innovative, thought provoking, and highly leveraged “must-have insights” content
• Develop new insights and ideas through thought leadership and offer compelling, actionable approaches to client's needs and requests that accelerate the client's ability to act
• Develop in-depth analysis to identify the root cause of a client’s barriers or overall needs and reframe thinking to drive strategy forward
• Demonstrate thought leadership in establishing Insights positions across a team of analysts
• Bring provocative, independent insights to Gartner leaders that can evolve the course of a research agenda
• Research, analyze and predict market trends and shifts to provide clients and vendors with actionable insights
• Provide clients and prospects with actionable advice aligned to their designated content area via virtual or face-to-face interactions
• Create and deliver high value presentation materials on and off stage for Gartner events, industry and professional association conferences, and client briefings
• Support BTI and Sales: Provide sales support serving as voice of the market to help Insights teams create content and to drive engagement with clients to make progress against their critical priorities to grow their business
• Provide high quality and timely content peer review
• Build credibility as an industry expert to represent Gartner insights, methodology and strategy
• Actively participate in innovation, ideation, and research discussions and collaborate effectively with peers in the Insights community
• Identify research process improvements or develop new processes that help the team and BTI provide excellent service delivery
• Be a mentor and a coach by supporting more junior team members
• Be client-centric while actively seeking to help clients engage regularly and often with Gartner insights and interactions

VP Analyst – CIO Enterprise AI Strategy

• Support the delivery of the AI and Innovation Strategy, AI Playbook and related guidance, policies and materials
• Lead AI awareness and engagement activity, producing blogs, briefings, presentations, articles and leadership communications
• Work with senior stakeholders, delivery teams and communications colleagues to support alignment, adoption and external engagement

Change and Communications AI Consultant – Contract Role

• Circuit Diagram Review: Look at simple schematics generated by the AI and make sure the components are connected in a way that actually works.
• Component Fact-Checking: Verify that the AI is using the correct specifications for parts.
• Troubleshooting Logic: Read the AI's advice on how to fix a broken device and ensure logical steps are taken.
• Simplifying Technical Specs: Help the AI summarize complex data sheets for clarity.

Electronics & Circuit Logic Expert – AI Community

• Create and enhance imagery using generative AI, image-editing software, and professional retouching techniques.
• Develop visual concepts, mood boards, style frames, and campaign mock-ups from creative briefs.
• Retouch photography and AI-generated images, including colour correction, compositing, masking, skin and product refinement, lighting adjustments, and background replacement.
• Resolve common AI-image issues such as visual artefacts, incorrect anatomy, inconsistent textures, distorted objects, and unrealistic lighting.
• Write and refine prompts to generate imagery that meets specific creative, brand, and production requirements.
• Combine multiple photographic, CGI, stock, and AI-generated elements into seamless compositions.
• Produce realistic product, lifestyle, environmental, and conceptual visualisations before final production.
• Maintain consistency across campaign assets, formats, and channels.
• Prepare production-ready files for print, digital, social media, e-commerce, presentations, and other platforms.
• Work closely with creative directors, designers, photographers, copywriters, marketers, and production teams.
• Manage feedback and revisions while maintaining quality and meeting deadlines.
• Stay informed about developments in generative AI, image creation, retouching, and visual-production workflows.
• Follow copyright, licensing, brand-safety, confidentiality, and responsible-AI guidelines.
• Organise source files, prompts, versions, and final assets using clear file-management processes.

Creative AI Retoucher, Visualiser

• Take over and run the AI efficiency programme end to end, manage the cross-programme view and oversee individual workstreams.
• Maintain the operating rhythm: regular initiative updates, periodic portfolio refreshes and executive reporting (including monthly Board updates).
• Coordinate across Function Captains and workstream owners in Sales & Marketing, Finance and Customer Success, surfacing patterns, dependencies and risks.
• Keep the programme disciplined and structured — clear ownership, sponsorship and progress tracking — rather than letting it fragment into ad hoc activity.
• Run individual initiatives from idea to a working, adopted output — embedding AI into operational workflows, not just piloting it.
• Partner with stakeholders across functions to translate operational problems into practical AI solutions.
• Build and shape tools, collateral and supporting materials directly where needed.
• Maintain a consistent way of measuring impact across different initiative types — project-based, adoption-based and capability-based.
• Keep a shared impact measure that lets progress be aggregated and communicated at executive level, with a clear line to efficiency and productivity gains.
• Coordinate and capture the broader efficiency gains from AI adoption across teams and tools.
• Keep the portfolio visible and credible across the business.
• Act as the link between the executive sponsor, delivery and operational teams.
• Build trust and engagement across functions, working through influence rather than direct line management as the link between the executive sponsor, delivery and operational teams.

AI Transformation Manager – Maternity Cover

• Running a portfolio of prioritised product problems, rapidly framing, prototyping, and delivering tested solutions.
• Building working prototypes using AI tools and coding approaches to create tangible outputs for clients quickly.
• Engaging directly with clients to understand challenges and develop scalable, user-focused solutions.
• Leading focused discovery and design sprints, applying sound judgement on when to iterate or move on.
• Collaborating with engineering, design, and commercial teams to transition successful prototypes into production-ready products.
• Feeding insights and learnings into wider product strategy, commercial positioning, and go-to-market activities.

AI Product Builder

• Own and drive AI strategy for high-value enterprise accounts
• Partner with executive sponsors, customer success, solution engineering, and product to deliver winning AI solutions.
• Act as the strategic advisor to client leadership, helping define AI transformation roadmaps and business cases.
• Work closely with the CEO, CRO, and broader leadership team to influence deal strategy and positioning on the most strategic opportunities globally
• Bring consulting-grade thinking to structure engagements, solution narratives, and commercial approaches.
• Serve as a trusted advisor to senior stakeholders (CIO, CDO, CDO, CXO) on AI-driven business transformation.
• Collaborate with product, engineering, GTM, and delivery teams to align AI solutions with customer objectives.

AI Strategist

• You will help us reinvent how Bezos runs - using AI to build a company where a small team operates like a much larger one.
• You’ll go deep into how a core function actually works - the numbers, the operations, the decisions - and rebuild it around AI: automating the routine, sharpening the judgment calls, and freeing the team to do what only humans should.
• You’ll sit on the Senior Leadership Team, report directly to the CEO, and have the mandate to change how things are done.
• Depending on your strengths, your first mandate could lean toward finance, operations, or the product itself - the common thread is using AI to transform how a core part of the business runs.
• Go deep into how a core function works and find where AI genuinely transforms it - what to automate, what to sharpen, what to rethink entirely.
• Ship the agents, automations, and tools that change how the work actually gets done. Hands-on, fast, iterative.
• Treat the function - and the product - like a product. Obsess over the user and the outcome, ship an MVP, measure it, and iterate.
• Decide where AI creates real value vs where it’s a distraction, and prove it in time saved, cost removed, or revenue won.
• Own your mandate at SLT level, raise the whole company’s AI fluency, and build a team beneath you as it scales.
• Establish how we build with AI - a lightweight, practical standard the rest of the team can follow.

Head of Applied AI

• Create emotional, scroll-stopping video content — product launches, ads, social clips, and brand films — that make people want to join Base360.
• Use AI tools end to end — video, voice, image, and music generation (Runway, Sora, Kling, ElevenLabs, Midjourney, and whatever comes next) — to produce more, faster, and better.
• Animate and edit — bring the product to life with motion design, product demos, kinetic typography, and slick transitions.
• Own ideas from concept to final export — you pitch the concept, you build it, you ship it.
• Produce content for every format — vertical short-form for TikTok/Reels, ads for paid social, and hero videos for the website.
• Keep a consistent brand feel across everything, so all our video looks and feels like one premium brand.
• Move fast and iterate — test ideas, read what performs, and double down on what works.

AI Video Creator

• Design integrated learning interventions combining AI literacy, data literacy and core business skills, translating strategic concepts such as tool readiness, professional judgement and safe AI use into practical, applied experiences that build confidence and capability
• Sequence learning alongside tool and technology adoption by collaborating with HR, DTI and business areas, ensuring training reinforces trust, enables process and automation thinking, and improves workflow design capability
• Define and communicate tool readiness requirements across roles and cohorts, aligning capability development with organisational needs to support effective and scalable AI and data adoption
• Develop scenario-based, role-specific learning grounded in real organisational workflows, enabling colleagues to apply AI and data skills directly within their day-to-day responsibilities
• Embed behavioural and judgement-focused learning that promotes safe and ethical AI use, deepens understanding of data governance and accountability, and supports effective manager role modelling
• Pilot targeted learning interventions with defined cohorts, evaluating effectiveness through behavioural change, process efficiency and quality outcomes, and refining approaches using data-driven feedback
• Engage and align stakeholders across HR, DTI and business functions to co-create learning solutions that are strategically aligned, operationally relevant and scalable across the organisation
• Contribute to organisational capability building by shaping integrated AI, data and digital upskilling approaches, helping shape how training, tooling and governance combine to enable safe adoption and positioning the role as a key driver of future skills development

Artificial Intelligence jobs in United Kingdom

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