This fast-growing organisation has built an enterprise AI platform that automates complex, end-to-end business workflows using multi-agent systems.

Backed by leading investors and growing quickly, they work with major global organisations across a range of industries. Their engineering team is small and high-calibre, so you’ll get real ownership early and plenty of room to build your career.

As Lead Forward Deployed Engineer, you’ll embed with enterprise clients and turn complex workflows into reliable agentic systems in production. It’s a hands-on role combining technical depth with delivery leadership and stakeholder management.

You’ll own projects end to end, from design through to deployment, working in Python, modern LLM frameworks and the major cloud platforms. The focus is client delivery rather than R&D or platform development.

Key attributes of the suitable Lead Forward Deployed Engineer include:

• Production AI Engineering Expertise: A proven track record of building production-grade solutions and delivering measurable impact through applied AI, ideally within consulting or product-led environments.
• Agentic AI & Modern AI Systems Experience: Hands-on experience with LLMs, RAG pipelines, MCPs, and agentic workflows.
• Delivery Leadership & Client Ownership: A forward-deployed, client-first mindset, with the ability to translate complex business problems into scalable AI systems while working directly with both technical teams and business stakeholders.

You’ll choose and implement a panel or community management platform and move the existing membership onto it. You’ll set up profiling, screening and verification so the business knows exactly who its members are and can trust the data. You’ll design the engagement programme, including incentives, rewards, communications and feedback loops, so members stay active and respond when projects go live. You’ll grow membership across markets through digital recruitment, referral and partnerships with organisations that already reach affluent audiences. And you’ll work closely with the research and commercial teams so the community is ready for each upcoming project.

• Hands-on experience managing a research panel or insight community, ideally one you have built, relaunched or migrated onto a new platform

• A track record of keeping members engaged and responsive over time, and the numbers to show for it

• Experience recruiting members and running profiling, screening, quality checks and verification

• Working knowledge of panel or community platforms and the incentive tools that go with them

• Around seven years’ experience in panel management, online communities, research operations or a closely related area

• Experience with affluent, HNW or other hard-to-reach audiences, whether consumer or B2B

• Experience across international markets

• A commercial, entrepreneurial streak and ideas about where affluent consumers can be found and how to win their time

To be clear about the fit: this is a market research role. Strong candidates will come from research panels, online community agencies, insight teams that run their own panels, or expert networks. If your background is in members’ clubs, concierge, hospitality or membership sales without research panel experience, this one will not be the right match.

You’ll own a unique asset from the ground up, with real autonomy over how it is built, and work day to day alongside some of the world’s leading luxury and premium brands.

This is a senior, hands-on leadership position. You’ll be the technical anchor for the data science function — leading and mentoring a team, setting methodological standards, and overseeing QA across machine learning, predictive modelling and data visualisation work. You’ll also play a central role in business development: leading technical bids, costing proposals, and pitching data science capabilities to non-technical clients.

• Rare seat that combines deep technical leadership with genuine commercial influence — not just delivery
• Work sits at the intersection of causal inference, ML and real policy impact, across health, financial resilience, gambling harm and sustainability
• Direct input into the organisation’s AI roadmap, shaping how agentic AI and LLMs get used in research and client work
• Lead and grow a talented data science team, with real autonomy over methodology and standards

• Strong applied ML and econometrics skills (predictive modelling, regression frameworks, clustering)
• Experience with causal inference and experimental/quasi-experimental methods (RCTs, DiD, RDD, propensity score matching) is a strong plus
• Fluency in Python and R, with experience building reproducible data pipelines
• A track record of leading technical bids or client-facing proposals
• Experience with LLMs or agentic AI tools in a research or applied services context
• People leadership experience — mentoring and developing technical specialists

• Hybrid: minimum 2 days/week in a London office
• Permanent

With over 15 years in the industry, this brand has expanded to more than 200 locations across the UK and proudly supports a community of over 1 million members. They’ve built a reputation not just for their size and scale, but for a people-first culture and strong core values that are truly embedded across the business.

This is an opportunity to sit within the analytics function, partnering across Marketing, Finance and Operations. You’ll turn pricing, competitor, and customer data into clear commercial insight – assessing pricing performance, modelling the impact of proposed changes, and recommending opportunities to grow revenue, acquisition, and retention.

With over a decade in the industry, this brand has expanded to more than 150 locations across the UK and proudly supports a community of over 500,000 members. They’ve built a reputation not just for their size and scale, but for a people-first culture and strong core values that are truly embedded across the business.

This is a fantastic opportunity for someone earlier in their digital analytics career to join a growing team, helping the business better understand how members discover, join, and engage across its digital channels.

Reporting to the Digital Analytics Manager, you’ll own dashboards and data quality across web and app, working shoulder-to-shoulder with Ecommerce, Marketing, Product and CRM. It’s genuine end-to-end exposure – and real scope to grow as the business doubles down on this space.

The Candidate

Key attributes of the suitable Digital Analytics Executive include:

• GA4 Expertise: Demonstrable, hands-on experience using GA4 to analyse digital performance and answer business questions – this is essential.
• Digital Analytics Fundamentals: Solid understanding of events, conversions, attribution models, and user journeys.
• Communication & Curiosity: Proven ability to explain performance clearly to technical and non-technical stakeholders, with a naturally inquisitive approach to investigating data issues.
• Core Tools: Comfortable in Excel or Google Sheets; experience with Google Tag Manager, Looker Studio, Power BI or BigQuery is a strong plus.

With over a decade in the industry, this brand has expanded to more than 150 locations across the UK and proudly supports a community of over 500,000 members. They’ve built a reputation not just for their size and scale, but for a people-first culture and strong core values that are truly embedded across the business.

This is a great opportunity for a commercially curious analyst to work across the full breadth of a fast-moving, consumer-facing business – from trading performance and location strategy to product performance and member behaviour.

The emphasis is on understanding what’s driving performance and helping the business decide what to do next, rather than pure reporting. You’ll own ad hoc business questions end to end, partner with commercial, property and product stakeholders, and take on real ownership as you develop your commercial instincts.

Key attributes of the suitable Customer Insights Analyst include:

• Commercial Analysis: Around 1-2 years’ experience in a commercial, trading, customer, or performance insight role, ideally within a consumer-facing business.
• Analytical Curiosity: Evidence of going beyond reporting what happened – investigating why and recommending what should happen next.
• Technical Skills: Strong, independent SQL skills and confidence using Excel for analysis, with an eye for clear dashboards and visualisations.
• Stakeholder Influence: Proven ability to communicate a clear analytical narrative and constructively challenge non-technical commercial or operational stakeholders.

With over a decade in the industry, this brand has expanded to more than 150 locations across the UK and proudly supports a community of over 500,000 members. They’ve built a reputation not just for their size and scale, but for a people-first culture and strong core values that are truly embedded across the business.

This is an excellent opportunity for an experienced analyst to sit at the intersection of Marketing, CRM, Paid Media, Web Analytics, and Commercial functions, playing a central role in connecting data to decision-making across the business.

You’ll work as a true partner to stakeholders rather than a passive report producer – shaping the analytical agenda, challenging assumptions, and translating complex business questions into structured analysis that drives action. The role spans recurring performance reporting, A/B testing, marketing mix analysis, and audience segmentation, offering genuine variety and ownership.

Key attributes of the suitable Senior Marketing Analyst include:

• Marketing Analytics Expertise: At least 5 years’ experience in marketing, commercial, or customer analytics, with a track record of insights influencing business decisions.
• Technical Proficiency: Advanced SQL skills and strong Excel proficiency, with demonstrable experience using data visualisation tools (PowerBI strongly preferred).
• Testing & Modelling: Solid practical knowledge of A/B test design, regression techniques and segmentation, plus experience interpreting Marketing Mix Modelling outputs.
• Stakeholder Communication: Proven ability to translate complex findings into clear, actionable recommendations for senior, non-technical stakeholders.

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.

You’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises.

This isn’t your typical AI Engineering 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 a suitable Senior AI Engineer 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 (highly desired), 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. You’ve played a hands-on role in architecting and delivering real-world deployments.

They are one of Europe’s largest companies, operating across multiple offerings, from TV to Mobile and Broadband. With over 20 million customers worldwide, they are one of the leaders in the media and entertainment space.

You will be the senior technical owner for media measurement standards, building and embedding a unified framework across ATL, digital, testing, econometrics and campaign reporting – defining the KPIs and evidential standards used to assess media performance, and leading the end-to-end design of strategic geo-tests and incrementality experiments in partnership with Econometrics, Digital Marketing, Media Planning, Media Strategy and Test & Learn.

Line managing a team of 3 Marketing Analysts, you’ll also coach and develop their capability in measurement, statistical thinking and evidence-based decision-making. At the same time, they carry out much of the hands-on technical delivery.

This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and AI-powered decision intelligence.

Their digital AI agents provide always-on, intelligent insights – supporting leading clients across financial services, retail, FMCG, pharma, and beyond to enhance performance and efficiency.

As Lead AI Engineer, you’ll lead the delivery of Agentic AI solutions post-sale, owning client projects from design through to deployment. This is a hands-on role combining strong technical depth with delivery leadership and stakeholder management.

You’ll implement AI and agentic systems across enterprise clients, designing scalable architectures using LLMs, RAG pipelines, and agentic workflows, while working closely with engineering and product teams to ensure successful outcomes.

Key attributes of the suitable Lead AI Engineer include:

• Technical Data Science Expertise – Strong background delivering production-grade solutions, ideally within consulting or product-led environments.
• Agentic AI & Modern AI Systems Experience – Hands-on exposure to LLMs, RAG pipelines, and agentic
• Delivery Leadership & Client Ownership – Comfortable leading teams while remaining technically involved and managing client relationships post-sale