Cambridge's hiring market splits between established biotech and pharmaceutical firms anchored in the city centre and a growing cluster of deep-tech startups across the surrounding Science Park and Cambridgeshire region. Unlike London, Cambridge talent tends to stay local—commute tolerance is lower, and remote-first policies are now table stakes. Salary expectations run 10–15% below the capital for equivalent roles, yet competition for senior engineering and research positions remains acute. Time-to-hire typically stretches to 6–8 weeks for specialised technical roles, partly because passive candidates are concentrated in small cohorts and passive sourcing is inefficient. Raffi helps Cambridge hiring teams move faster by automating initial screening of candidates who actively apply through your job posts, so your team spends interview time on genuinely qualified contenders rather than sifting through volume. Integration with Workable means your existing workflow stays intact—Raffi slots into your existing ATS without friction. For hiring managers juggling multiple vacancies across biotech, SaaS, and advanced materials roles, that automation frees capacity to focus on culture fit and technical depth. To start screening smarter, connect with our team.
<60 sec
Application to first contact
10-15 min
Per applicant interview
$0
Hire fees, ever
Raffi calls every applicant for a 10-15 min structured interview. Not just the top 5 résumés — every one. Result: nobody good slips through.
Conversational AI interview, rubric-anchored scoring, transcripts you can read. You get a top 3-5 shortlist while competitors are still scheduling first-rounds.
SaaS pricing from $199/mo. No 15-25% of first-year salary, no per-hire kickback. Cancel anytime.
Cambridge's 2026 hiring momentum centres on biotech, pharmaceutical R&D, and enterprise SaaS—sectors where candidate supply remains tight. Life sciences roles continue to see sustained demand, though early-stage biotech funding has grown more selective. AI and machine learning posts are opening faster than the market can fill them, with time-to-hire for ML engineers regularly exceeding 10 weeks. Enterprise software and fintech hiring has steadied after 2024's volatility. Remote policies have levelled hiring geography; Cambridge firms now compete for talent across the UK and Europe, raising pressure to screen candidates quickly. Expect overall time-to-hire to remain elevated—6–9 weeks for technical roles is standard—because candidate pools are specialised and geographical constraints matter less than role-specific expertise.
Cambridge hiring demands expertise in life sciences, advanced manufacturing, and software engineering; generalist roles are rarer. Candidates often expect flexibility: hybrid or remote options are nearly mandatory, though commute to Cambridge town centre or the Science Park remains common for certain seniorities. Salary bands for engineers and PhDs run 8–12% below London but remain 5–10% above regional UK rates. The talent pool skews highly educated—many candidates hold PhDs or postdocs—so your interview process must reflect technical rigour and long-term growth pathways. Migration patterns favour Cambridge-based candidates and those relocating from London, Manchester, and Europe; passive outbound sourcing yields diminishing returns because active job applicants already cluster in your funnel.
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Yes. Raffi operates in 30+ languages and supports candidate calls in any timezone via self-booking — there's no per-city integration. If you can post a role from Cambridge, you can run Raffi from Cambridge.
Raffi is calibrated against the major AI-in-hiring frameworks (EU AI Act + NYC Local Law 144) and discloses AI use to every candidate before the call. For Cambridge-specific work permits and right-to-work checks, those happen outside Raffi — we screen, you verify eligibility before extending an offer.
Cambridge is smaller and more specialised, with clusters in biotech, pharmaceuticals, and deep tech rather than broad corporate services. Salaries run 10–15% lower than London, but candidate pools are more technical and often hold advanced degrees. Remote policies are common, reducing geographical constraint on hiring.
Plan for 6–10 weeks for engineering, ML, and research roles due to small, specialised candidate pools. Life sciences PhDs may take longer because qualification thresholds are narrow. Active job applicants still represent your fastest hiring channel.
Yes—remote and hybrid are now baseline expectations. Many Cambridge candidates will consider relocating for senior roles, but flexibility on location and working pattern significantly improves your ability to attract and retain talent.
Agentic recruiting is recruiting done by an AI agent that takes action on your behalf — not a chatbot or résumé summarizer. Raffi calls every applicant for a structured 10-15 minute interview, scores them against your rubric, and hands you a ranked top 3-5. The work happens autonomously.
Most agencies charge 15-25% of first-year salary as a placement fee — a $90k hire runs $13-22k. Raffi is SaaS at $199-599/mo plus per-action credits, typically landing under $10k/year for a team hiring 12 people. Same shortlist quality, no placement contract.
About 25 minutes to onboard, post your first role, and have Raffi ready to interview applicants. No engineering work, no integration project. Connect your work email, paste a JD, you're live.
Free $25 starter credit. No credit card. Screening live by tonight.