Registered Veterinary Nurse - Small Animal

Registered Veterinary Nurse - Small Animal

Join us as a Registered Veterinary Nurse at IVC Evidensia, a practice dedicated to compassion, collaboration, and a supportive environment for everyone.

We are a first‑opinion small animal practice located in Kendal on the lakeside, operating two clinics that include a main surgery focused on diagnostics and an off‑site branch for preventative medicine. Our hardware includes Idexx lab, multiparameter monitors, ultrasound, digital X‑ray (including dental), drip pumps, and more. We are accredited by Practice Standard and provide training for Registered Veterinary Nurses, with a maximum of one Student Veterinary Nurse per Clinical Coach.

The team consists of seven vets (5–20+ years’ experience), four Registered Veterinary Nurses (5–25 years), three Student Veterinary Nurses, one Veterinary Care Assistant, five receptionists, and a Director of Practice.

Based in the Lake District, you’ll enjoy stunning scenery, no out‑of‑hours work, and a supportive culture that values your ideas and aspirations.

An experienced RVN who excels in nurse consults, building client relationships, and shaping services. We value partner communication and a commitment to high‑quality care.

• 6.6 weeks annual leave, inclusive of bank holidays
• Additional holiday entitlement for your birthday
• Enhanced family‑friendly policies (maternity/paternity/adoption/shared parental and surrogacy pay)
• Private Medical Insurance
• Cycle to Work scheme
• Discounted gym membership
• Non‑accidental injury support
• £550 CPD allowance with 24 hours paid leave pro rata
• Certificate Support
• Learning and development via the IVC Evidensia Academy
• Access to Vetlexicon online encyclopedia
• Research funding applications for all Vets & Nurses
• Infection Prevention and Control Programme
• Quality Improvement Programme
• VDS cover
• RCVS fees covered
• Pawsome Benefits reward gateway (discounts and cashback)
• Pension 5% employee / 3% employer
• Discounted staff pet care

Seniority Level: Mid‑Senior

Employment Type: Part‑time (full‑time role, four days per week plus one Saturday morning, no out‑of‑hours)

Salary: Up to £30,000 per annum

We may use artificial intelligence tools in the hiring process, but final hiring decisions are made by humans. For more information on data processing, please contact us.