Our client is a fast-growing technical consultancy known for delivering bespoke software engineering on complex, high-impact programmes across the UK public sector. Their culture is flat, collaborative, and delivery-focused. Engineers are trusted to make decisions, work closely with stakeholders, and shape solutions from idea through to production. Projects are long-running, teams are stable, and engineering quality genuinely matters.

You’ll join an agile, client-embedded team delivering modern, scalable systems. Your work will include:

• Designing and building backend services using Java (12+) and Spring Boot

• Contributing to front-end development (ideally Angular, though React is welcome)

• Working across the full SDLC: requirements, build, test, deploy, support

• Applying TDD/BDD, clean code principles, and DevOps practices

• Collaborating directly with non-technical stakeholders to shape solutions

• Growing your cloud and DevOps capability (AWS/Azure, Docker, CI/CD)

Remote-first, with occasional on-site collaboration when it adds value. 🏡

You’ll likely be a mid-level full stack engineer who:

• Has strong commercial experience with Java and modern frameworks

• Is comfortable being client-facing and explaining technical decisions

• Enjoys working across backend and frontend, not just one layer

• Cares about code quality, learning, and continuous improvement

• Is eligible for UK security clearance (UK-based, no visa sponsorship)

If you want your engineering skills to be seen, trusted, and developed, this role is worth your attention. 👀

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

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.

A growing consultancy at the forefront of behavioural science and human-centred design is expanding its Behavioural Intelligence capability — blending data science, behavioural analytics, experimentation and AI.

We’re looking for a curious, commercially minded Data Scientist who enjoys solving complex problems, finding behavioural patterns in data, and turning insights into simple, powerful stories.

You’ll work alongside behavioural scientists, researchers and consultants to deliver analytical projects for major clients across industries such as finance, retail, energy and utilities.

It’s the ideal next step for someone with solid technical foundations who wants to broaden into consulting, experimentation, behavioural analytics and insight-led storytelling.

Analyse Behavioural & Customer Data

• Work with varied datasets (implicit response data, transactions, qualitative transcripts).

• Build clustering, segmentation, predictive and ML models to explain and forecast behaviour.

• Support experimental design, hypothesis testing and behavioural measurement.

Create Impactful Insights

• Translate analytical findings into clear, behavioural and commercially grounded recommendations.

• Present insights to non-technical stakeholders and support consultants on client programmes.

Improve Tools & Workflows

• Contribute to reproducible code, documentation and internal data practices.

• Support automation, pipeline development and embedding analytics into client solutions.

Work Across Disciplines

• Partner with behavioural scientists, designers and strategists to combine data with human insight.

• Help develop the consultancy’s Behavioural Intelligence toolkit and AI-enabled ways of working.

• Around 2.5–5 years of experience in data science or applied analytics.

• Strong skills in Python and SQL (R a bonus).

• Experience with machine learning techniques (clustering, regression, NLP, ensemble methods).

• Good grounding in statistics (hypothesis testing, regression, experimental design basics).

• Ability to distil complex technical results into simple, engaging narratives.

• Curiosity about human behaviour and decision-making.

• Experience running end-to-end analytics projects.

Nice to have:

• Cloud experience (Azure, AWS or GCP).

• NLP / text analytics.

• Exposure to A/B testing.

• Understanding of behavioural science principles.

• Work at the intersection of data science and behavioural science — a rare and exciting blend.

• Solve meaningful, human-centred problems with real-world impact.

• Grow in a multidisciplinary environment that mixes behavioural research, consulting and AI.

• Join a culture that values curiosity, experimentation, rigour and continuous learning.

Benefits include: season ticket loan, cycle-to-work scheme, discounted gym membership, health screening & dental cover, EAP, free annual eye test, a well-stocked office kitchen and regular team socials.

If you want to grow into a more consultative, behavioural and experimental Data Scientist — this is the role.

Apply now.

• Lead the behavioural strategy for large, complex client programmes

• Translate business challenges into robust behavioural problem definitions

• Oversee behavioural design, architecture and experimental work

• Manage, mentor and develop a team of behavioural scientists

• Support senior client stakeholders and help build internal behavioural capability

• Ensure projects deliver measurable impact across customer and employee journeys

• Contribute to thought leadership and the development of new behavioural propositions

• Support commercial growth through farming and pitch support

• 5–8 years’ experience applying behavioural science in consultancy or in-house

• Strong understanding of behavioural frameworks, psychology and decision-making

• Experience leading behavioural teams or cross-functional delivery teams

• Strong consulting skills: structured problem solving, narrative development, stakeholder influence

• Experience architecting behavioural programmes with measurable outcomes

• Confident communicating behavioural insights to senior leaders

• Leadership responsibility within a high-performing behavioural science consultancy

• Opportunity to shape behavioural strategy and team capability

• Clear progression path into senior consulting leadership

• Competitive salary, performance bonus and benefits

• A collaborative, ambitious and intellectually curious environment

If you’re passionate about applying behavioural science at scale and leading meaningful change, we’d love to hear from you.

As Research Information Manager, you’ll lead a small, expert team delivering high-quality analytical reports that support evidence-based decision-making. You’ll oversee workloads, mentor researchers, review and approve outputs, and occasionally represent your team’s work in formal settings as part of expert testimony.

This is a hands-on role where analytical rigour meets real-world impact — perfect for someone who enjoys both managing people and getting into the detail themselves.

We’re looking for someone who:

✅ Has strong experience in research or data analysis (labour market, economics, or social science background ideal)

✅ Is confident managing, coaching, and motivating others

✅ Can interpret complex information and present it clearly and accurately

✅ Works well under pressure and takes pride in precision

This is a 12-month fixed-term contract with the potential to go permanent — a chance to take on leadership responsibility within a trusted, purpose-driven research team.

👉 If that sounds like you, please apply!

Our client is an independent brand strategy consultancy helping ambitious consumer brands unlock growth through clarity, creativity, and commercial thinking.

From reimagining beer for the next generation to defining the future of snacking, they partner with some of the world’s most loved brands across food, drink, and consumer goods.

They’re a small, energetic team who love what they do. No layers, no politics, and no egos. Just smart, curious people who get stuck in and make a difference.

They’re looking for a Strategist or Senior Strategist to join their growing team and help deliver exceptional brand strategy work for leading global clients.

You’ll work across a mix of brand positioning, innovation, and portfolio strategy projects, supporting senior partners while also taking ownership of your own workstreams.

Key Responsibilities

• Support and lead elements of strategic projects across CPG, food, and drink.
• Turn insight into ideas : building clear, commercial stories that inspire creative action.
• Partner with senior clients and internal teams to deliver outstanding work.
• Collaborate closely with design, creative, and insight specialists.
• Contribute to pitches, proposals, and the broader growth of the business.
• Bring energy, ownership, and initiative to every project.

• A proven brand strategist with 3-6 years experience in a creative, innovation, or strategy consultancy.
• Background in CPG, food, or drink is a big plus.
• Sharp thinker, articulate communicator, and confident presenter.
• Equally comfortable with insight, analysis, and creative ideation.
• Collaborative, proactive, and positive: you make work better for the people around you.
• Thrive in a small, fast-paced environment with autonomy and accountability.
• Genuinely hardworking, grounded, and full of initiative.

• Work with big brands and ambitious briefs that stretch your thinking.
• Join a tight-knit, low-ego team where your impact is visible.
• Learn directly from senior strategists and founders.
• Shape your role as the business continues to grow.

You’ll join a global digital insights business recognised for its technology-led research platforms and proprietary online panels. With a strong track record in reaching complex and hard-to-engage audiences, the company delivers award-winning healthcare, B2B, and consumer research across more than 40 international markets.

• Grow the healthcare portfolio – win new clients and deepen relationships with existing MRAs, delivering tailored healthcare panel and data collection solutions.
• Drive new business – identify target agencies, develop outreach strategies, and convert opportunities into long-term partnerships.
• Build market presence – represent the business at industry events, conferences, and networking forums to strengthen visibility and client connections.
• Partner with internal teams – collaborate with operations, project management, and marketing colleagues to ensure seamless project delivery and client satisfaction.
• Shape client strategy – act as a consultative partner, translating research needs into innovative, tech-enabled sampling solutions.
• Travel regularly – attend client meetings and events across the UK and Europe several times a year.

• Strong sales experience within market research, focused on healthcare panels or data collection.
• Established network within MRAs (market research agencies) and healthcare research buyers.
• Demonstrated ability to prospect, pitch, and close business independently.
• Commercial mindset with the ability to spot and seize growth opportunities.
• Excellent communication skills and comfort operating in a global, remote-first environment.