This fast-growing business sits at the forefront of applied AI, working with major organisations to build and deploy intelligent systems that solve real operational challenges.

With a strong product roadmap and a collaborative culture, they offer the chance to work on high-impact projects in a fast-paced, forward-thinking engineering team.

This is a DevOps-centric, client-facing engineering role focused on getting AI systems—particularly agent-based solutions—successfully deployed into customer environments.

You’ll work across cloud, hybrid, and on-premise setups, navigating real-world constraints (networking, security, Kubernetes clusters, containerised workloads, etc.) and collaborating directly with clients to get solutions up and running.

You’ll work closely with senior engineering leadership to support deployments, contribute to agent-driven product builds, and ensure smooth delivery across varied technical landscapes.

Key attributes of the suitable DevOps Engineer (AI Deployment) include:

• Deployment & Delivery Experience – Hands-on experience deploying software or platforms into client environments (on-premise, hybrid or cloud).
• DevOps Foundations – Solid experience with Docker and Kubernetes (both essential), plus comfort working across different cloud providers and networking constraints.
• Interest in AI & Agents – Not a pure ML role—just curiosity or side projects involving AI agents, LLM tools, or automation frameworks.
• Client-Facing Mindset – Confidence working directly with customers, understanding their environments, and guiding them through deployment and solution delivery.
• Growth Mentality – 2+ years’ experience in DevOps, infrastructure, platform engineering or forward-deployed engineering roles.

This fast-growing business sits at the forefront of applied AI, working with major organisations to build and deploy intelligent systems that solve real operational challenges.

With a strong product roadmap and a collaborative culture, they offer the chance to work on high-impact projects in a fast-paced, forward-thinking engineering team.

This is a DevOps-leaning, client-facing engineering role focused on getting AI systems—particularly agent-based solutions—successfully deployed into customer environments.

You’ll work across cloud, hybrid, and on-premise setups, handling real-world constraints (networking, security, Kubernetes clusters, containerised workloads, etc.) and collaborating directly with clients to get solutions up and running.

You’ll work closely with senior engineering leadership to support deployments, contribute to agent-driven product builds, and ensure smooth delivery across varied technical landscapes.

Key attributes of the suitable AI Deployment Engineer:

• Deployment & Delivery Experience – Hands-on experience deploying software or platforms into client environments (on-premise, hybrid or cloud).
• DevOps Foundations – Solid experience with Docker and Kubernetes (both key), plus comfort navigating different cloud providers and networking constraints.
• Interest in AI & Agents – Not a pure ML role—just curiosity or side projects involving AI agents, LLM tools or automation frameworks.
• Client-Facing Mindset – Confidence working directly with customers, understanding their environments, and guiding them through deployment and solution delivery.
• Growth Mentality – 2+ years of experience in DevOps, infrastructure, platform engineering or forward-deployed engineering roles.

Our client is a global technology powerhouse, recognised worldwide for its relentless drive for innovation and excellence. With a legacy of redefining what’s possible across consumer electronics, they continue to push boundaries through cutting-edge research and bold technological vision.

As an Applied Data Scientist, you’ll design and deploy practical AI solutions that enhance performance and streamline workflows. You’ll explore new technologies, test tools, and optimise models to deliver measurable results.

Working across teams, you’ll identify opportunities for AI integration and help turn complex concepts into real-world impact

Key attributes of the suitable Applied Data Scientist include:

• Strong technical grounding in machine learning, deep learning, and AI tool implementation – Python, R, Java, etc.
• Proactive, curious mindset with a passion for applying AI to solve real-world business challenges.
• Excellent communicator, able to translate complex AI concepts for non-technical stakeholders.

Our client is a global technology powerhouse, recognised worldwide for its relentless drive for innovation and excellence. With a legacy of redefining what’s possible across consumer electronics, they continue to push boundaries through cutting-edge research and bold technological vision.

• As an AI Specialist, you’ll design and deploy practical AI solutions that enhance performance and streamline workflows. You’ll explore new technologies, test tools, and optimise models to deliver measurable results.

  Working across teams, you’ll identify opportunities for AI integration and help turn complex concepts into real-world impact

Key attributes of the suitable AI Specialist include:

• Strong technical grounding in machine learning, deep learning, and AI tool implementation – Python, R, Java, etc.
• Proactive, curious mindset with a passion for applying AI to solve real-world business challenges.
• Excellent communicator, able to translate complex AI concepts for non-technical stakeholders.

Our client is a strategy and behavioural insight consultancy that helps global brands like HSBC, Danone and Shell decode human decision-making.

Rooted in the work of Daniel Kahneman, their frameworks uncover the subconscious motivations behind consumer behaviour… and translate them into growth strategies.

Now, they’re entering a new chapter: transforming their consultancy IP into automated insight products. Think dashboards that don’t just show what people do… but why.

With backing from board advisors like the CMO of Boots and ex-CEO of John Lewis Partnership, they’re on a mission to redefine how behavioural data powers marketing and media decisions.

You’ll be the bridge between consulting and product, shaping the roadmap for automated ad testing, retail media analytics, and behavioural tracking tools.

Expect to:

• Turn behavioural models into scalable data products.
• Define product vision and oversee prototypes and MVPs.
• Collaborate with consultants, engineers, and client teams.
• Ensure outputs are intuitive, actionable, and commercially powerful.
•  Work directly with major brands like Shell and HSBC.

You’re a strategic product thinker with commercial instincts and empathy for clients.

You thrive where psychology meets data, and you can turn a spark of behavioural insight into a tangible product that clients love.

• 7–10 years’ experience in product, insight, or data strategy.
• Comfortable bridging tech, data, and business needs.
• Structured, proactive, and curious… with a growth mindset.

Our client is a technology-enabled consultancy that helps private equity–backed companies understand and transform their go-to-market performance. Founded a few years ago, they’ve already built a reputation for delivering high-impact commercial transformation work: blending deep consulting expertise with proprietary tech and operator insight.

They’re a close-knit team of ex-strategy consultants, PE investors, and operators who believe in practical impact, not PowerPoints. With an ambitious growth plan and a culture that values trust, mentorship, and curiosity, this is an opportunity to grow quickly while making a tangible difference.

• Lead 1–2 client projects end-to-end, managing teams, analysis, and client relationships.
• Dive deep into data (SQL, Tableau, Excel) to uncover insights that drive growth.
• Guide clients through commercial and operational transformation.
• Coach junior consultants and shape project approaches.
• Contribute to business development and innovation of in-house data tools.

You might be a Senior Associate or Manager in a consulting firm: ready to own your projects, have more client exposure, and join a firm where ideas move fast.

• 4–6 years of consulting experience
• Strong technical fluency (SQL, Tableau, Excel)
• Experience with PE or PE-backed companies
• Excellent communicator, structured thinker, and team leader

You’ll thrive here if you’re analytical yet commercial, curious yet decisive, and excited by the pace of a growing business.

You’ll join a consultancy that’s redefining how private equity–backed businesses unlock growth. As a Manager, you’ll run projects end-to-end, lead talented teams, and shape the future of a firm that’s scaling fast.

This ambitious business is at the forefront of applied AI, working with major organisations across a range of industries to design and deploy intelligent systems that solve complex, real-world problems.

With a strong growth trajectory and a collaborative culture, they offer the chance to work on high-impact projects in a fast-paced, forward-thinking environment.

As an AI Infrastructure Engineer, you’ll play a central role in building and deploying production-grade AI systems. You’ll be responsible for designing robust architectures, ensuring reliability and scalability, and collaborating directly with enterprise clients to deliver tailored solutions.

This is a technical and client-facing role where you’ll be expected to bring both engineering expertise and the ability to work closely with stakeholders to deliver measurable business value.

Key attributes of the suitable AI Infrastructure Engineer include:

We’re looking for someone with:

• Deployment Expertise – Experience delivering enterprise AI or data-driven solutions across cloud and/or on-premise environments.
• Cloud & DevOps Skills – Familiarity with at least one major cloud provider and knowledge of DevOps best practices.
• AI & Machine Learning Knowledge – Practical experience building solutions with modern AI tools and frameworks.
• Client-Facing Mindset – Confidence working with both technical teams and business stakeholders.
• Architecture & Delivery Skills – Ability to translate complex business challenges into scalable solutions.

This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency.

As a Data Scientist, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises.

This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools.

Key attributes of the suitable Data Scientist include:

• Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred.
• Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows, and more.
• Client-Centric Problem Solver – You’re confident engaging with clients and stakeholders, able to translate complex business problems into elegant, scalable AI solutions.

• £60,000–£85,000 DOE + Share Options
• Hybrid working from the London HQ
• Work closely with pioneering clients and be at the forefront of enterprise AI adoption
• Supportive, innovative culture with clear opportunities for growth
• Additional perks include learning & development budget, health benefits, flexible working options, and team socials

This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors including asset management, banking, retail, telecoms, supply chain, and utilities to dramatically enhance performance and efficiency.

As an AI Engineer, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises.

This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools.

Key attributes of the suitable AI Engineer include:

• Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows.
• Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows, and more. You’re always curious and ahead of the curve.
• Client-Centric Problem Solver – You’re confident engaging with clients and stakeholders, able to translate complex business problems into elegant, scalable AI solutions. You’ve played a hands-on role in architecting and delivering real-world deployments.

• £60,000–£85,000 DOE + Share Options
• Hybrid working from London HQ
• Work closely with pioneering clients and be at the forefront of enterprise AI adoption
• Supportive, innovative culture with clear opportunities for growth
• Additional perks include learning & development budget, health benefits, flexible working options, and team socials

This is one of the most exciting insight roles on the market. You’ll be the strategic lead behind two of the fastest-growing categories at one of the world’s most iconic fashion brands. With board visibility, cross-functional collaboration, and the chance to shape global strategy—this is a dream job for someone who thrives on impact.

Our client is a global lifestyle brand at the intersection of culture, creativity, and consumer obsession. In recent years, they’ve doubled down on becoming a truly insight-led organisation. This role sits at the heart of that transformation—where business meets style, and data drives direction.

• Lead all insight projects for two fast-growing fashion categories globally.
• Collaborate with brand and marketing teams to guide strategy and campaign development.
• Manage research end-to-end—from briefing agencies to building analysis from raw data tables.
• Deliver 360 consumer views: brand health, usage & attitudes, social listening, trends and more.
• Present findings directly to senior stakeholders and support long-range planning efforts.
• Shape a more consumer-centric culture across teams and regions.

This isn’t a role for someone waiting for a brief to land. You’ll need to be a proactive thinker—someone who sees where the business should go and uses insights to make it happen.

You’ll enjoy building stories from complex data sets, have a commercial instinct, and a flair for luxury fashion. You won’t be managing a team (yet), so confidence running your own work and influencing upwards is key.

If you’re a proven insights leader from retail, luxury, or FMCG—and want a seat at the table—this is your moment.