AI Engineer
Paloma Health · Hybrid: London Bridge office, working 2 days per week in person if possible, with some flexibility possible if required
Posted about 3 months ago
or apply directly on Paloma Health 's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Paloma Health 's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 0% of Paloma Health 's roles list one
- Ghost-job risk at Paloma Health
- high 16 stale, 1 reposted of 17 open
- Hiring momentum
- 26 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Paloma Health 's own greenhouse board since 2026-08-03. Full hiring picture for Paloma Health .
About this role
As an AI Engineer at Paloma, you will be responsible for designing, developing, and maintaining AI-driven applications that enhance the efficiency of NHS autism and ADHD assessments. You will work closely with clinicians and product teams to establish evaluation pipelines, ensuring the quality and safety of AI outputs. This role is hands-on and will allow you to shape the AI team's growth while contributing to a mission-driven organization focused on improving children's access to care.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Paloma Health as an employer.
What you need
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience
- A track record of building AI products in a systematic, data-driven way with at least two years of industry experience or equivalent
- Hands-on experience building and evaluating LLM-powered products that reached real users
- Excellent analytical and problem-solving skills
- Proficiency in Python
- Understanding of prompt engineering principles and techniques
Nice to have
- Familiarity with Vertex AI/Gemini Enterprise and the wider Google Cloud Platform
- Experience with an LLM observability or evaluation platform
- Understanding of MCP and integration of tools with agentic systems
- Experience grounding LLM output in data via techniques such as RAG
- Experience with an LLM orchestration or agent framework
What you get
- Competitive annual salary and equity package
- Annual salary reviews
- 5% employer pension contribution
- Equity compensation through Share Options
- Optional Private Medical Insurance and Employee Assistance Programme
- Home Office Equipment Allowance
Worth weighing
- Hybrid working model with a preference for in-office days
- Role involves building for a clinical setting, which may require adherence to strict regulatory standards
- The AI team is in its early stages, offering growth opportunities but also uncertainty in structure and processes
Summarised from Paloma Health 's posting. Read the full original.
Listed by Paloma Health on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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