With over a decade of industry presence, this brand has expanded to more than 250 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 exciting opportunity for a commercially minded Data Scientist to take ownership of end-to-end modelling and ML pipeline development within a fast-paced, consumer-focused organisation.

You’ll lead impactful work across the full lifecycle — from exploration and predictive modelling to deployment and automation — using modern cloud tooling to shape smarter pricing, retention, and customer insight. Alongside hands-on modelling, you’ll help strengthen MLOps practices and contribute to emerging AI initiatives, working closely with engineering and analytics teams to deliver scalable, high-value solutions.

Key attributes of the suitable Data Scientist include:

• Strong technical foundation in Python, SQL, and cloud-based ML workflows, with experience building and deploying end-to-end predictive models.
• Exposure to MLOps or ML engineering practices, including pipelines, CI/CD, model monitoring, and working with tools like Azure ML or Fabric.
• Commercially minded communicator who can translate data into clear, actionable insight and work collaboratively with technical and non-technical stakeholders.

1. MLOps & Azure Architecture

You’ll architect and build our entire cloud-native MLOps platform on Azure, including:

• High-throughput video processing infrastructure
• Robust data pipelines (Encord → Azure → Roboflow)
• Automated model training + versioning
• Deployment of high-performance inference services
• ETL pipelines to turn predictions into client-ready metrics

This is full system ownership — and you’ll be the one building it.

2. Computer Vision Strategy & Model Lifecycle

You will define how we track brand assets across sports video and social media content by:

• Designing the CV approach (models, data strategy, optimisation)
• Integrating Encord annotations with Roboflow training pipelines
• Deploying and optimising the model at scale
• Setting up monitoring to catch model drift before it becomes a problem

3. Human-in-the-Loop (HITL) Tooling

You’ll build the analyst verification interface that:

• Flags low-confidence detections
• Lets analysts quickly confirm/correct outputs
• Feeds improved data straight back into the training pipeline

This is the backbone of our continuous learning loop.

4. Knowledge Transfer

At the end of the project you’ll hand over:

• Documentation
• Architecture diagrams
• Runbooks
• Codebase walkthroughs

So our internal team can take full ownership.

🌟 Why This Role Is Special

• True ownership: You design it, you build it, you ship it.
• No legacy tech: Clean slate. You choose the right tools and architecture.
• Real-world impact: Your system will power visibility metrics used by global brands.
• Massive scope: MLOps, CV, cloud architecture, inference, ETL, HITL — all yours.
• Fast-moving domain: Sports + AI + video = one of the most exciting fields right now.

If you’re tired of being one engineer on a huge team and want to own the entire machine, this is your chance.

You don’t need every keyword — but you should have strong experience with:

• Building production MLOps systems on Azure
• Designing data pipelines and automated model lifecycles
• Deploying and optimising computer vision models (YOLO, Detectron, etc.)
• Working with annotation tools (Encord, Labelbox, Roboflow, etc.)
• Creating scalable inference systems for video/image workloads
• Building HITL or internal analyst tooling
• Shipping production systems in fast-paced environments

• 6-month contract (likely extension)
• Competitive day rate
• Hybrid initially then possible remote UK
• Start date: Jan 2026

Operating internationally, the company provides B2B research and insight services that help businesses make better decisions through data.

They specialise in market intelligence, competitor analysis, and sector-specific research across industries such as finance, private equity, Tech & FMCG.

This high-impact role combines strategic client advisory, advanced quantitative research, and team leadership across multiple sectors. If you’re driven by data, insight, and commercial outcomes – and want to shape strategies that matter – this is your chance to step into a pivotal leadership position with global reach.

Key attributes of the successful Research Director & Analytics include:

• Deep expertise in quantitative research methods – Conjoint, Max Diff, Segmentations, etc.
• Strong commercial mindset with a history of hitting revenue targets
• Proven leadership within a market research/analytics setting, with experience working across multiple sectors (ideally Financial Services or Tech)
• Experience of working with B2B Clients

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.

Because impact here isn’t theoretical – it’s lived. You’ll design experiments, run studies and translate insights into action that gets rolled out on the ground. This is work with purpose, backed by a team that genuinely values curiosity, rigour and innovation.

The role comes with a generous package too:

✨ £52–62k salary

✨ 40 days’ annual leave

✨ Private medical & dental

✨ 8% employer pension

✨ Learning and wellbeing allowance

✨ Cutting-edge AI tools to elevate your research workflow

✨ Hybrid working in London or Edinburgh (2–3 days in office)

Our client is a non-profit accelerator committed to improving early childhood outcomes. They combine data science, mixed-methods research and entrepreneurial thinking to design, test and scale evidence-based interventions.

They’re not a standard foundation. They roll up their sleeves:

➡️ identifying a challenge

➡️ researching it deeply

➡️ designing and trialling interventions

➡️ implementing solutions in real-world settings

Their mission is simple but bold: give every child the conditions to flourish.

No two weeks look the same, but you will:

• Lead mixed-methods research across quant, qual and secondary analysis.

• Design field experiments, online experiments and surveys.

• Work closely with data scientists to turn complex evidence into actionable programme insights.

• Shape organisational strategy and strengthen intervention design.

• Communicate findings through clear, compelling storytelling.

• Support and mentor junior researchers.

• Represent the organisation at events and conferences.

Your work will directly influence programmes that are tested and deployed across the UK.

You’ll thrive here if you:

• Bring 5+ years of applied research experience and strong mixed-methods confidence.

• Have experience designing trials, experiments or large-scale surveys.

• Can translate evidence into practical, impactful recommendations.

• Care deeply about early childhood, prevention, social policy or related fields.

Our client is a global healthcare insights and strategy consultancy with teams in the UK and US. They specialise in tech-led innovation – blending robust research with digital-forward thinking and AI-powered methodologies.

Their work spans the full brand lifecycle across therapy areas such as Oncology, Immunology, Infectious Disease, Respiratory, Cardiovascular and Neuroscience.

They’re also:

✔️ 100% women-owned

✔️ Certified as a Great Place to Work

✔️ Known for culture, energy, and genuine collaboration

A team of around 25 in the UK means you’re never a cog in a machine – your work is visible, valued, and genuinely shapes client strategy.

Our client is on a hiring drive, looking for a quantitative SRE, and two mixed-methods RE-RMs. You’ll be central to project delivery – supporting and sometimes leading work across both qual and quant studies. Expect to:

• Run the day-to-day of multiple projects

• Draft screeners, guides and briefings

• Moderate unviewed interviews

• Shape analysis and insight stories

• Become a trusted client contact

• Take ownership of smaller projects and workstreams

• Help deliver impactful work across value propositions, brand positioning, concept testing, message effectiveness, landscape assessments and more

This is a role for someone who enjoys variety, loves being proactive, and thrives in a fast-paced environment.

You’ll thrive here if you are:

• 1–5 years into your healthcare research career

• Comfortable with both qual and quant (or eager to develop in the other)

• Intelligent, articulate and commercially minded

• Naturally proactive and confident managing projects

Imagine being part of a team where your ideas matter, your growth is prioritised, and your career trajectory is genuinely yours to shape. No rigid promotion cycles. No waiting for permission. Just a clear path, personalised development, and leaders who’ve walked the same journey.

You’ll join a growing quant team delivering high-quality custom research across sectors and methodologies—from segmentation and brand tracking to conjoint and integrated studies.

Expect a mix of:

✨ Leading projects end-to-end


✨ Working closely with well-known consumer brands


✨ Crafting high-quality outputs with strong design and storytelling


✨ Collaborating with a friendly, talented team


✨ Enjoying hands-on support from in-house ops so you can focus on insight, not admin


✨ Building strong client relationships and shaping your own development path

This is a role where you’ll make an immediate impact and continue to grow quickly.

You’ll thrive here if you’re someone who:

✔ Has 1-2 years of research agency experience


✔ Is confident across a wide range of quant methodologies


✔ Can run projects smoothly and proactively end-to-end

Imagine being part of a team where your ideas matter, your growth is prioritised, and your career trajectory is genuinely yours to shape. No rigid promotion cycles. No waiting for permission. Just a clear path, personalised development, and leaders who’ve walked the same journey.

The client is one of the UK’s largest independent insight agencies – meaning they set their own rules, grow on their own terms, and prioritise people over shareholders. They’ve built a reputation for delivering impactful, bespoke quant research across 60+ markets, partnering with global names from streaming giants to luxury fashion.

Their culture is vibrant, international, and genuinely fun, blending deep expertise with an environment where everyone feels supported, empowered, and included.

You’ll join a growing quant team delivering high-quality custom research across sectors and methodologies—from segmentation and brand tracking to conjoint and integrated studies.

Expect a mix of:

✨ Leading projects end-to-end

✨ Working closely with well-known consumer brands

✨ Crafting high-quality outputs with strong design and storytelling

✨ Collaborating with a friendly, talented team

✨ Enjoying hands-on support from in-house ops so you can focus on insight, not admin

✨ Building strong client relationships and shaping your own development path

This is a role where you’ll make an immediate impact and continue to grow quickly.

You’ll thrive here if you’re someone who:

✔ Has 2-5 years of research agency experience

✔ Is confident across a wide range of quant methodologies

✔ Can run projects smoothly and proactively end-to-end

With over a decade of market presence, this business has expanded to more than 150 locations across the UK, supporting a thriving community of over 500,000+ members. They’ve earned a reputation not only for their rapid growth but for fostering a genuinely people-first culture built on strong values and a commitment to continuous improvement.

This is a fantastic opportunity for a driven, hands-on performance marketer to accelerate their career within a high-growth, consumer-led organisation.

As Digital & Performance Marketing Executive, you’ll play a key role in driving member acquisition and brand growth through full-funnel digital and offline campaigns. You’ll plan, brief, execute, and optimise activity across PPC, paid social, YouTube, affiliates, programmatic, OOH, radio, VOD, CTV, and TV.

Working closely with internal teams and external agency partners to ensure campaigns are integrated, commercially effective, and constantly evolving in line with market best practice.

Key attributes of a successful Digital & Performance Marketing Executive include:

• 2–3 years’ experience in an acquisition-focused performance marketing role within a fast-paced, D2C or subscription-based environment.
• Ability to analyse and optimise campaigns to maximise ROI and support revenue growth.
• Comfortable working cross-functionally with Brand, CRM, Analytics, eCommerce, Design, and external media partners.
• Confident using GA4, Adobe Analytics, and visualisation tools such as Looker Studio or Power BI.
• Advanced Excel and PowerPoint skills, with the ability to turn performance insights into clear recommendations.