✨ Embedded PA model – you’re part of the legal team, not a remote service

✨ 1 PA to approx. 3 fee earners – quality over quantity

✨ Hybrid working (2 days in the office)

✨ Supportive environment with junior fee earners who value strong legal support

✨ Clear ownership, visibility, and variety in your work

This is a role for someone who enjoys being relied upon, respected, and involved.

The client is a well-established UK law firm with a strong reputation in Personal Injury. They’ve recently reshaped how legal support works, moving away from centralised admin so that PAs sit directly within practice areas. The result? Better collaboration, stronger relationships, and a more rewarding role for experienced legal support professionals.

📁 Managing legal files, documents, and case systems

📅 Diary management, deadlines, court dates, and hearings

⚖️ Preparing bundles, handling court e-filing, and liaising with counsel and experts

✍️ Drafting correspondence, instructions, funding updates, and costs paperwork

💷 Supporting billing, disbursements, legal aid claims, and payments

🤝 Being a go-to support for fee earners who genuinely value your expertise

You’ll already have experience as a Legal PA / Legal Secretary / Legal Assistant in a law firm.

You’re organised, calm under pressure, and confident supporting fee earners in a busy PI environment.

This role will suit you if:

• You want involvement, not isolation

• You value relationships as much as process

• You’re adaptable, practical, and not overly rigid

• You take pride in being excellent at what you do

📍 Roles available in Sheffield (priority) and Leeds

💰 Salary: £24,000 – £32,000 (ideal £28,000–£30,000)

Because you’ll be taught the craft of strategy properly. You’ll work on real briefs, with real clients, alongside people who care deeply about ideas, clarity and quality. And because in a small consultancy, your contribution is visible… from day one.

Our client is an independent brand strategy consultancy working with ambitious consumer brands, particularly in food, drink and packaged goods.

They help brands find clarity, meaning and momentum, blending creativity and strategy to unlock growth. The team is small, sharp and low-ego. No layers. No politics. Just smart people doing thoughtful work and enjoying it.

• Supporting brand strategy projects across positioning, innovation and growth
• Researching culture, consumers and categories to fuel strategic thinking
• Helping turn insight into clear, compelling stories and decks
• Working closely with senior strategists, creatives and designers
• Joining client calls, workshops and project meetings
• Learning how great strategy is written, presented and delivered

You might be early in your career, but you’re serious about the craft. You’re curious, organised, and genuinely interested in brands, people and culture. You care about clarity. You notice detail. You ask good questions.

You’ll probably enjoy this role if:

• You want to learn by doing, not watching
• You like small teams where everyone pulls their weight
• You’re comfortable with responsibility and feedback
• You want to build depth, not just speed, in your career

Health and fitness is about behaviour change — and that makes it a fascinating data challenge.

You’ll work with rich customer, operational, and commercial data to:

• Understand how people join, engage, and stay active
• Optimise pricing, retention, and member experiences
• Build predictive models that genuinely influence business strategy

You’ll sit within a well-established Data & Insight team, working alongside Data Engineers, Analysts, and stakeholders across the organisation.

Data Science & Modelling

• Analyse customer and behavioural data across acquisition, retention, engagement, and pricing
• Build, validate, and optimise predictive models using robust statistical and ML techniques
• Carry out exploratory analysis to uncover patterns, test hypotheses, and quantify business impact
• Communicate insights clearly to both technical and non-technical audiences

ML Engineering & Production

• Deploy ML models into production within a modern cloud-based environment
• Build automated pipelines and CI/CD workflows to support training, testing, and deployment
• Monitor model performance, data drift, and reliability — keeping predictions accurate over time
• Work closely with Data Engineering to ensure high-quality, governed, model-ready data

Applied AI (Optional but encouraged)

• Explore how modern AI tools can enhance member experiences and internal processes
• Prototype AI-driven ideas through proofs of concept and lightweight demos
• Help shape responsible and practical AI adoption across the business

You’ll bring

• Strong Python (and/or PySpark) skills for analysis, modelling, and feature engineering
• Solid SQL experience
• A track record of delivering end-to-end predictive modelling projects
• Experience deploying and monitoring ML models in a cloud environment
• The ability to translate complex technical work into clear, commercial insight

• Exposure to MLOps or modern ML engineering practices
• Experience with AI prototyping or experimentation
• Cloud ecosystem experience (particularly Azure-based platforms)
• Interest in customer behaviour, subscriptions, or consumer products

• The chance to work on data products used by millions of members
• A role where your models move beyond notebooks into production
• Space to experiment, innovate, and explore emerging AI capabilities
• A collaborative, inclusive team culture that values impact over ego

This is a chance to step into a genuinely influential insight role. You’ll sit at the centre of a fast-growing data sharing programme, working directly with major brand partners and senior internal stakeholders. Your work will drive smarter decisions, stronger partnerships and measurable growth – not just reports for reporting’s sake. 📈

Our client is a well-established, data-led, multi-channel retailer operating in the premium/luxury space. With a mature test-and-learn culture and strong investment in customer insight, the business places analytics at the heart of commercial strategy. Decisions are underpinned by robust evidence, and insight professionals are genuinely valued. ✨

You’ll lead the customer data sharing programme with external brand partners, acting as the go-to insight expert.

• Own and deliver regular insight reporting to brands

• Translate complex datasets into clear, actionable stories

• Partner closely with CRM and Category teams to influence retention and growth strategies

• Present insights confidently to senior internal stakeholders and external partners

• Continuously improve reporting, dashboards and analytical approaches using SQL, Excel and data visualisation tools

Your work will be seen, discussed and acted upon – from CRM teams right through to board level.

• You’re an experienced customer insight analyst (3+ years) from retail, FMCG or agency-side,
• You have strong SQL skills and confidence handling large, complex datasets.
• You enjoy presenting, influencing and managing multiple stakeholders
• Experience with loyalty, CRM platforms and tools like Qlik Sense or Tableau is a bonus. 💡

If you want your insights to genuinely matter, this role is worth a closer look.

Our client is a UK-based rapidly-growing technical consultancy delivering software and digital programmes across public sector organisations. Their model is to embed consultants into client teams, build strong relationships, and deliver outcomes with a practical, high-trust culture.

Key Responsibilities

• Designing and maintaining front-end automation for modern web apps (think Cypress/Playwright-style environments)
• Building or extending automation frameworks to suit different teams and projects
• Partnering with engineers, delivery leads, and clients to improve quality strategy and reduce release risk
• Contributing to best practice across QE (and helping others level up)
• Supporting testing in modern delivery setups (CI/CD pipelines, cloud-first environments, sometimes containerised services)

You’ll enjoy this if you:

• Care about quality outcomes, not just “tests passing”
• Can explain issues clearly to non-technical stakeholders
• Have strong automation experience for web/UI, and you’re comfortable getting hands-on
• Like variety: 6-month assignments, different clients, different problems
• Are SC-eligible (UK residency/travel constraints apply) and can travel to London/client sites when required

You’ll work in a consultancy environment where your work lands with real users — often on meaningful public-sector services — and where strong communicators thrive.

If you’re looking for a role where QA is respected, your voice matters, and you can build genuine credibility with clients, this is worth a conversation.

Because you want more than just writing test scripts.

Here, you’ll have real ownership over automation frameworks and testing strategy, the chance to work across varied, high-impact projects rather than one static product and will be joining a consultancy environment where progression is based on capability, not time served.

Our client is a growing technology consultancy that partners closely with organisations across the public and private sectors, embedding engineers into teams to solve real-world problems. They operate with a flat structure, value expertise over hierarchy, and invest heavily in their people. Consultants are encouraged to move between projects, broaden their skillsets, and shape their own career paths. Quality, collaboration, and pragmatism sit at the heart of everything they do.

You’ll be:

• Designing, building, and maintaining back-end automation frameworks

• Testing APIs and microservices using Java-based tools (e.g. RestAssured, contract testing)

• Integrating automated tests into CI/CD pipelines

• Working closely with developers, QA peers, and clients to improve quality end-to-end

• Helping establish best practice across automation and testing

This is a hands-on role – not a test management position.

You’ll likely have:

• Experience as an Automation Test Engineer / SDET

• Strong Java and API automation experience

• Exposure to building or extending automation frameworks

• A solid understanding of the SDLC and QA best practice

• Confidence working in client-facing, agile environments

If you enjoy autonomy, variety, and being trusted to deliver – you’ll feel at home here.

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. 👀

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.

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.