Case studies
Twenty-six years of recruitment leaves a track record worth looking at.
Sourcing a Senior Data Scientist to Strengthen Machine Learning Capability Across Complex Biological Data
Our client was a biotechnology company based in Cambridge, working with complex biological datasets across genomics, assay, and imaging research. They needed a Senior Data Scientist who could bring strong machine learning skills and enough life sciences understanding to work meaningfully with the science, not just the data infrastructure around it. That combination is genuinely rare.
Cambridge is one of the most competitive hiring markets in the UK for this kind of role. The people they needed were already employed, largely invisible to job boards, and being approached by well-funded competitors with strong employer brands. Relying on inbound applications was not a realistic option. The search needed to reach people who were not looking and give them a compelling reason to listen.
Sourcing a Senior Platform Engineer to Accelerate Cloud Automation and Service Reliability
Our client, a fast-growing technology scale-up based in Bristol, was building out its platform engineering team. The business ran a SaaS product and needed someone who could improve automation and reliability at scale, not just maintain what was already there.
The role required a specific combination: strong hands-on experience with Kubernetes, Terraform, AWS, and CI/CD, alongside the maturity to work across teams and influence technical direction. That narrowed the pool considerably. Most engineers with that profile were already in roles and not looking. The South West market is competitive, and salary expectations had moved. The client needed an honest view of what the market looked like before committing to a number and going live.
A job advert was not going to reach the right people. They came to Xist4 for a more structured approach.
Sourcing a Senior Infrastructure Engineer to Build the Cloud Foundation for a Real-Time Energy Analytics Platform
Our client was an early-stage cleantech start-up building a platform to help utilities and grid operators work with high-volume renewable energy data. The infrastructure did not yet exist at scale. They needed a Senior Infrastructure Engineer to design and build it, someone with strong AWS, Kubernetes, and Terraform experience who could operate effectively in a company that was still finding its shape.
That last part was the hardest sell. The role was genuinely interesting and the mission was real. But experienced infrastructure engineers at this level have options. Established employers offer more salary certainty, clearer career paths, and technology that is already working. Convincing the right person to back an early-stage business takes more than a job advert. The candidate needs to understand what they are walking into and why it is worth the risk.
The client came to Xist4 for a retained search because they needed structured market intelligence before they went anywhere near candidates, and a sourcing approach that could reach people who were not looking.
Sourcing an SC-Eligible Applications and Database Engineer to Close a Long-Running Vacancy and Reduce Delivery Risk
A public sector heritage organisation based in London needed an Applications and Database Engineer to support a small internal applications team. The work was not high-profile but it was critical: SQL Server estate management, internal application support, and automation across Microsoft tooling. When the role sat empty, the pressure landed on a team that was already stretched.
They had tried recruiting directly. The volume of applications was not the problem. Quality was. Too many applicants could not meet SC clearance requirements, and too many of those who passed that filter could not back up their claims under interview. The process kept restarting. Meanwhile, competing employers could offer more money, move faster, and run simpler hiring processes.
They came to Xist4 on recommendation, appointing us as the sole agency partner to run the campaign end-to-end.
Sourcing a Senior Platform Engineer to Accelerate Azure Delivery and Strengthen Platform Resilience
The engineering function at a major UK global bank needed a Senior Platform Engineer to strengthen its Azure platform as adoption scaled across the organisation. The remit was broad: automation, networking, multi-region reliability, and building self-service capability for development teams. It was a role that required both technical depth and the judgment to operate in a regulated, complex environment.
Azure engineers at this level are scarce. The bank had already tried twice. Both times they lost candidates at offer stage, and the reasons were not purely about money. Delivery milestones started to slip. The platform team was struggling to keep pace with demand from security, resilience, and environment requests, and the gap left by the vacancy was becoming harder to absorb.
The hiring manager wanted a recruitment partner who understood what senior engineers actually look for in a role, not just someone who could match keywords on a CV.
Sourcing a Senior Full-Stack Engineer to Scale an AI-Native Workflow Insights Platform for Enterprise Growth
Our client was a fast-growing London SaaS scale-up that had just closed a Series B round. Their platform helped large enterprises understand, optimise, and automate complex operational workflows across compliance, finance, customer operations, and risk. The engineering challenge was significant: the platform needed to move from supporting dozens of enterprise teams to hundreds of global customers, each requiring secure, scalable, real-time workflow intelligence.
To get there, they needed a Senior Full-Stack Engineer with deep experience across Typescript, React, AWS serverless technologies, and event-driven architecture. Someone who could work across the full stack, contribute to product direction, and design infrastructure capable of handling high-volume workflow analytics in regulated environments. That combination is not easy to find. Engineers with genuine cloud-native depth and a product mindset who have also delivered at enterprise scale are in short supply, and most of them are not looking.
The leadership team also needed an honest view of the market before scaling the engineering organisation. Compensation benchmarks, talent availability, and stack alignment all needed to be understood before outreach began.
Sourcing a Senior Software Engineer to Build Secure Generative AI Tooling in a Specialist Regional Market
Our client was a global banking institution with a major technology hub in Northern Ireland. The engineering team was building a new function focused on generative AI security, specifically protecting large language model applications from adversarial attacks and ensuring responsible AI deployment across regulated environments.
The role needed someone who could do three things well: write production-quality Python, work confidently in cloud-native environments, and understand security engineering well enough to design and test against real AI threats. That combination is rare anywhere in the UK. In Northern Ireland, the available talent pool is smaller still, and most engineers with relevant experience were already employed by large technology firms or financial institutions with strong retention.
The client needed a recruitment partner who understood the local market, could map it accurately, and had the reach to get in front of people who were not going to find the role through a job board.
Sourcing a Data Infrastructure and Applications Engineer to Maintain Reliability Across Mission-Critical Clinical Systems
Our client was a national clinical data services organisation responsible for systems that underpin life-saving operational workflows across the UK. Their databases supported donor information, laboratory processes, logistics operations, and time-sensitive clinical activity used daily by hospitals and clinical teams across the country. When these systems have problems, the consequences are not abstract.
The organisation was modernising its digital platforms and needed a Data Infrastructure and Applications Engineer who could keep the lights on while that work progressed. The role required strong SQL Server administration, data integrity experience, incident response capability, and familiarity with hybrid on-premise and cloud environments. It combined operational support with active project delivery across upgrades, environment stabilisation, and supplier coordination.
The hiring challenge was real. Engineers who can operate comfortably in environments where uptime is critical and data accuracy is non-negotiable have largely moved towards pure cloud roles. The pool of people with the right mix of legacy system knowledge and modernisation experience is small, and most of them are already employed somewhere they consider stable. Replacing that combination takes more than a job advert.
Sourcing a Business Development Manager to Open New Markets and Reduce Pressure on the Sales Leader
Our client was a growing secure cloud and managed services provider based in Birmingham, helping SME and mid-market businesses protect and manage their IT environments through cloud services, cyber security, backup, disaster recovery, and connectivity. They needed a Business Development Manager who could open new conversations across the Midlands and the wider UK.
This was not a straightforward sales hire. The right person needed to understand managed services, speak credibly about cloud and cyber security, and build trust with business owners and IT leaders who were making decisions about risk, resilience, and outsourced technology. That combination takes time to find.
The company had spent three months recruiting directly. Job boards, LinkedIn advertising, and their existing network had produced applicants, but not enough people with the right mix of managed services sales experience, technical credibility, and genuine new business discipline. The commercial risk was clear. Without the right hire, the Head of Sales was still carrying too much of the prospecting and qualification work. Growth was being slowed by a hiring problem, not a lack of market opportunity.
Sourcing a Senior EV Operations Manager to Protect Uptime and Bring Structure to a Scaling Charging Network
A growing EV charging operator based in Slough was expanding its regional network quickly. Uptime targets were slipping. Customer complaints were rising. The board needed stronger operational control and they needed it in place before more chargers came online and the problem compounded.
The role required a Senior EV Operations Manager with the technical grounding to lead a field engineering team, own preventative maintenance, and manage contractors across a distributed network. That meant EV charging knowledge, electrical competence, and familiarity with highways environments. General operations experience was not enough.
Slough sits on the M4 corridor, where operators such as BP Pulse, GRIDSERVE, and Osprey compete for the same limited pool of specialist talent. The on-site requirement made it smaller still. The company spent four months trying to hire directly using job boards, LinkedIn Recruiter, employee referrals, and internal networks. The effort was serious. The results were not. Strong operators existed but few had the EV and electrical depth the role demanded. The vacancy was now directly affecting uptime and slowing operational improvements across the network.
They came to Xist4 on a sector referral, specifically for experience in sustainable mobility and a search process that went beyond advertising.
Sourcing a Senior Data Engineer to Unify Asset Data and Improve Forecasting Across a Growing Renewable Portfolio
Our client was a mid-sized energy infrastructure company expanding its renewable energy portfolio. As the asset base grew, so did the data problem. Performance monitoring, asset telemetry, and financial reporting were running on separate systems that did not talk to each other. The business needed a Senior Data Engineer who could build the infrastructure to bring that data together and make it useful.
This was their first senior data engineering hire. That made the search harder in a specific way. The leadership team had no internal benchmark for what good looked like in this market, no clear view of what the role should pay, and no way to assess whether the candidates they were seeing were genuinely strong or just confident. They needed a recruitment partner who could provide market intelligence alongside the search itself, not just a shortlist.
The role required cloud-native platform experience, real-time analytics capability, and enough understanding of energy and infrastructure environments to work meaningfully with asset performance data. That combination narrowed the pool considerably.
Sourcing a Head of AI Engineering to Lead an AI-Driven Risk Intelligence Platform from Inception
Our client was a London-based stealth FinTech venture building an AI-driven risk intelligence platform to help digital financial institutions detect and manage real-time fraud and credit exposure. The founding team could not share the company name, the product detail, or the investment backing publicly. They needed to hire a Head of AI Engineering into a role that did not officially exist yet, at a company most candidates would never have heard of.
That is a specific kind of hard. The person needed to design and lead the AI function from scratch, bringing experience in machine learning engineering, real-time decisioning systems, and cloud-native architecture, alongside the judgment to operate in regulated financial environments. At this level, the right candidates are typically well-compensated, well-positioned, and not looking. Convincing them to seriously consider an opportunity they cannot research, at a company they cannot name-check, requires a different approach to sourcing and a different kind of conversation.
The founding team came to Xist4 for a retained search because they needed a partner who could carry the credibility of the opportunity in market and manage candidate trust through a process that required discretion at every stage.
Sourcing a Senior Engineer to Strengthen AI-Driven Risk Automation and Distributed Systems Capability
Our client was a global financial institution with a large technology presence in London, modernising the cloud infrastructure and AI systems that underpinned its risk and automation platforms. They needed a Senior Engineer who could design and implement distributed systems supporting automation, observability, and real-time intelligence across critical financial environments.
The technical profile was specific. The role required deep expertise in Java, Kafka, Kubernetes, and multi-region architecture, alongside practical experience building AI-assisted automation frameworks. That combination is genuinely rare. Engineers with distributed systems depth at financial services scale who also have applied AI experience tend to be well-placed and not looking. The client had already searched internally and come up short. They needed a partner with the reach to access passive talent inside major banks, FinTechs, and AI-led platforms, and the market knowledge to position the opportunity competitively before outreach began.
Sourcing a Digital Systems and Engagement Platforms Manager to Restore Momentum Across a Mission-Critical Digital Estate
Our client was a national organisation responsible for donor engagement, booking systems, operational ordering platforms, and clinical data flows used daily by hospitals and clinical teams across the UK. They were mid-way through a digital modernisation programme and needed a Digital Systems and Engagement Platforms Manager to own the roadmap and drive it forward. The digital estate included a core CRM supporting the donor lifecycle, high-volume public booking and self-service portals, operational ordering systems, and multiple integrations across communications, authentication, and internal tooling. None of it could afford to stand still.
After several months of advertising, the organisation had not been able to hire. Most applicants required work permits. The small number of UK-based candidates with the right combination of CRM configuration, SQL capability, and integration experience were moving quickly and being snapped up elsewhere. Critical upgrades, portal improvements, and integration fixes were being delayed. Teams lacked a single technical owner to drive decisions and maintain continuity across the estate.
They needed a partner who could reach a niche talent pool that sat at the intersection of CRM ownership, data handling, integration management, and user-centred digital thinking, and do it faster than the previous campaigns had managed.
Sourcing a Data Platforms and Applications Engineer to Stabilise Core Systems and Build Towards Cloud Readiness
Our client was a national data services and research organisation whose information systems were used daily by internal teams, external research partners, and operational support staff. Reliability was not optional. When the databases that underpinned those systems had problems, the impact was felt across multiple organisations, not just internally.
The business was modernising its digital estate and needed a Data Platforms and Applications Engineer to keep the existing infrastructure stable while that work progressed. The role required SQL Server administration, database optimisation, incident management, and experience working in hybrid on-premise and cloud environments. Crucially, the engineer also needed to coordinate effectively with third-party suppliers on upgrades and service issues, which added a layer of complexity beyond pure technical delivery.
Finding the right person was harder than it should have been. Engineers with operational SQL Server depth and hybrid environment experience have largely moved towards cloud-only roles. The pool of candidates motivated by systems reliability and technical ownership in established environments, rather than greenfield cloud builds, is smaller than it was and shrinking. The client needed a partner who understood that market and could identify people who would see this kind of role as the right challenge rather than a step backwards.
Sourcing an Applications and Data Systems Engineer to Stabilise Internal Platforms and Expand Power Platform Capability
Our client was a specialist logistics services provider supporting time-critical deliveries across the UK. Their Business Systems team managed a blend of SQL Server databases, bespoke scheduling tools, and a growing suite of Power Platform applications used daily by operations, compliance, and finance teams. After an internal restructure, they needed an Applications and Data Systems Engineer who could support day-to-day incidents, maintain SQL Server stability, and help expand automation through Power Apps and Power Automate.
Previous direct hiring attempts had produced almost nothing useful. Most applicants were non-UK nationals requiring sponsorship, which the organisation could not support. Of the small number of UK-based candidates with the right technical profile, the majority were moving off the market almost immediately, accepting other offers before interview availability could be arranged. The window to engage strong candidates was narrow and the previous approach had not been built around that reality.
The role itself sat in a specific and underserved part of the market: mid-level engineers with credible SQL Server experience, practical application support exposure, and the communication skills to work effectively across both technical and operational teams in a fast-moving logistics environment.
Sourcing a Quant Developer to Strengthen Behavioural Data Analytics Capability for Professional Investors
Our client was a London-based analytics firm delivering behavioural data analytics to professional investors. To develop their quantitative capabilities, they needed a Quant Developer who could build and implement complex models, work across Python, R, and SQL, and translate large datasets into investment insights that their clients could act on.
The role sat at a specific intersection: strong quantitative and programming skills combined with genuine understanding of financial markets and investment decision-making. That combination is not common. In the London market, candidates with this profile are in demand from asset managers, hedge funds, and data-led FinTechs, most of whom can offer more brand recognition and in some cases stronger compensation than a specialist analytics firm.
The client had already made two offers before approaching Xist4. Both were declined. The search had taken longer than anticipated and the gap in capability was starting to affect delivery. They needed a different approach, not more of the same.
Sourcing a Senior Business Analyst to Automate Processes and Strengthen AI-Driven Decision-Making
Our client was a growing London-based financial intelligence firm looking to hire a Senior Business Analyst with genuine AI capability. The role was meant to accelerate the firm’s use of data for strategic decisions and automate processes across departments that were still running manually. It was a hire that mattered commercially, not just operationally.
The difficulty was that the client had never recruited for a role like this before. They had no internal benchmark for what good looked like, no established process for assessing candidates at the intersection of business analysis and AI, and no clear view of what the market could realistically offer at their salary level. Getting it wrong, either by hiring someone too technically narrow or someone who could not operate at the stakeholder level the role demanded, would have set the programme back significantly.
They needed a recruitment partner who could map the full market, guide them through the assessment process, and give them confidence that the person they hired was genuinely the right choice, not just the best of a limited field.
Sourcing Three Data Scientists and Analysts to Support a High-Growth Scale-Up Phase
Our client was a Bristol-based AI and data analytics firm scaling quickly to meet growing client demand. They needed to hire multiple people at once, a mix of Applied Data Scientists and Data Analysts, to build out their technical capability and keep pace with the work coming in. Hiring one strong data professional in a competitive market is hard enough. Running parallel searches for three without losing candidates to slower processes or better-resourced competitors is a different problem entirely.
The Bristol market for data and AI talent is active but not deep. The firm needed people with genuine technical ability across Python, SQL, and machine learning frameworks, who could also work in a fast-moving, client-facing environment. Most candidates with that profile had options. The firm needed to move quickly, position the opportunity well, and keep multiple processes running in parallel without any of them losing momentum.
They came to Xist4 for a recruitment partner who understood the data and AI market and could manage the coordination of multiple searches without the quality of any individual hire being compromised by the volume.
Sourcing a Senior Cyber Security Analyst and BI Manager to Strengthen a Scaling Cloud-Based Investment Platform
Our client was a London-based Wealthtech start-up building a cloud platform that enabled wealth managers and financial advisors to deliver real-time portfolio insights, automate compliance processes, and improve client outcomes. The business was scaling fast and needed two hires at once: a Senior Cyber Security Analyst to protect a platform handling sensitive financial data, and a BI Manager to turn that data into something their clients could act on.
Neither role was straightforward. The client had not recruited at this level before and had no internal process for assessing candidates in either discipline. They also had a brand recognition problem. In London, a Wealthtech start-up that most candidates have never heard of is competing for cyber security talent against established banks, consultancies, and insurers, and for BI capability against data-rich FinTechs with stronger employer brands and deeper pockets. Convincing the right people to back an early-stage business requires the opportunity to be positioned with precision and credibility, not just advertised.
They came to Xist4 to run both searches and to help them navigate an assessment process they were doing for the first time.
Sourcing an IT Governance, Risk and Compliance Consultant After Relocating Operations from London to Cheltenham
Our client was an international cyber and information security consultancy that had recently relocated their operations from London to Cheltenham. Almost immediately, they needed to hire an IT Governance, Risk and Compliance Consultant, a specialist role requiring a rare combination of technical GRC expertise, financial sector experience, and the willingness to travel regularly across the UK and Europe.
The relocation created a specific problem. The client knew the London market. They had no knowledge of Cheltenham or the wider South West. They did not know where the relevant talent sat, what the role should pay outside of London, or whether the profile they needed even existed in sufficient numbers locally. The candidate also needed to be South West based, which ruled out the passive London talent pool they might otherwise have accessed. They had never recruited for this role in this location and had no local networks to draw on.
They needed a recruitment partner with genuine knowledge of the regional market and the reach to find a niche profile in an area the client was still finding its feet in.
A Five-Year Partnership Delivering Technical and Leadership Talent Across a World-Renowned Museum
Our client was a world-renowned museum with sites across London and Cambridgeshire. Over time, they had built a relationship with Xist4 that now spans five years and twelve placements across a wide range of technical and leadership roles, including Cyber Security Analysts, Linux Administrators, Application Developers, Infrastructure Team Leaders, Technical Web Managers, Infrastructure Managers, and Head of Platforms and Development.
The challenge that brought them to Xist4 in the first place has never really gone away. Cultural and heritage institutions cannot compete on salary with the private sector. The technical roles they need to fill are the same ones being recruited for by banks, consultancies, and technology firms with significantly deeper pockets. Finding people with genuine technical capability who also want to work in a mission-driven, public-facing institution requires a different kind of search. The candidates exist. They are not always looking, and they will not be found by posting on the same job boards everyone else uses.
Budget constraints are a permanent feature of hiring in this sector, not a one-off consideration. Every search has required honest market intelligence, creative positioning, and a clear understanding of what the institution can genuinely offer that a better-paying employer cannot.
Sourcing a Data Scientist to Support Genomic Research at a Site-Based Cambridgeshire Facility
Our client was a global biotechnology company with a research facility in Cambridgeshire, specialising in genomic research and advanced biotechnology solutions. Their internal talent acquisition team was experienced and capable, but the volume of open roles across the business meant they could not give every search the focused attention it needed. This vacancy was one of them.
The role required a Data Scientist with strong technical capability across Python, R, and machine learning, combined with genuine familiarity with genomic datasets and the analytical frameworks used in life sciences research. That combination is specific. Candidates with data science fundamentals are not hard to find in Cambridge. Candidates who can also work meaningfully with complex biological data are considerably rarer.
The site-based requirement made it harder still. In Cambridgeshire, where hybrid and remote options have become the default expectation for technical roles, asking a senior data professional to commit to full site presence narrows the pool and raises the bar on how the opportunity needs to be positioned. The role had to be presented in a way that made the on-site requirement feel like part of the value, not an obstacle.
Sourcing a Senior Business Intelligence Professional to Build Data-Driven Decision-Making Capability From Scratch
Our client was a prominent financial services organisation based in Bath. They had decided to create a Senior Business Intelligence role for the first time, recognising that the reporting and analytics capability the business needed was not going to emerge from existing resource. The role was tasked with driving data-driven decision-making, improving reporting across multiple departments, and working directly with senior leaders on strategic initiatives.
Having never recruited for a position like this before, the organisation had no internal benchmark for what good looked like, no established process for assessing BI candidates, and no clear view of what the market would expect in terms of salary and seniority. They needed a recruitment partner who could guide them through that process as much as execute the search itself.
Bath adds its own complexity. Financial services organisations outside London compete for senior BI talent against Bristol, remote-first employers, and the capital itself. Candidates with strong Power BI and Tableau experience, financial analytics capability, and the stakeholder management skills to work at a senior level have options. Making a Bath-based role attractive to that profile requires more than a job advert.
Sourcing a Data Analyst to Strengthen Crop Yield Modelling and Advance Sustainability Goals
Our client was a fast-growing Agritech start-up based in Cambridge, using data to improve crop yield modelling and support sustainable farming operations. They needed a Data Analyst who could work with complex agricultural datasets, translate findings into operational insights, and contribute directly to the sustainability projects the business was built around.
The hiring challenge was straightforward but not easy to solve. The start-up was small, not widely known as an employer, and competing for data talent in Cambridge against technology firms, life sciences companies, and better-funded Greentech businesses with stronger brand recognition. A candidate with solid data analytics skills had no shortage of options. Choosing an early-stage Agritech start-up over a more established employer required the opportunity to be positioned around something more compelling than salary or security.
The organisation also needed to move quickly. Key projects were already running and the absence of dedicated analytical resource was creating pressure on the team carrying the work.