Forward Deployed Engineer
Harnham - Data & Analytics Recruitment · Manchester · posted 30 days ago
Going rate £52,000UK median £52,518
Home Office going rates from
Occupation
2124Electronics engineers (professional)
Going rate for this occupation: £52,000 · UK median pay £52,518
Home Office going rates from
Where this salary sits
- UK pay for this occupation
- This role£80,000 to £130,000stated · above the range ONS published
- Going rate£52,000
- UK median£52,518
View these figures as a table
| Percentile | Pay |
|---|---|
| 25th | £44,943 |
| 50th | £52,518 |
| Going rate | £52,000 |
| UK median | £52,518 |
Sponsorship
Sponsorship chance
Not derived. We hold too little to place this role on the scale.
We hold too little public record data about this employer, occupation and salary to say anything about sponsorship for this role.
- A recruitment agency posted this advert, so the employer who would hold the licence is not named.
Why
Sign in to see how you fit and draft a cover letter
We read this advert for what it asks, check each line against your CV and show you the evidence for every judgement.
Sign inFull advert
Forward Deployed AI Engineer - Fully Remote
This is a rare opportunity to join an early stage, AI first biotech platform where you will sit at the intersection of advanced engineering and real world scientific impact. You will work directly with customers, deploying cutting edge AI into live research environments and helping teams accelerate how new drugs are discovered and developed.
The Role
Act as a forward deployed engineer, working closely with client teams to design, build and deploy AI driven solutions on the platform Translate complex research and business questions into production ready LLM and RAG workflows Debug, optimise and scale LLM applications in real world, client facing environments Build and integrate data pipelines and services across cloud platforms and modern data stacks Collaborate with non technical stakeholders, clearly explaining platform capabilities and guiding them through best practice usage Feed learnings from deployments back into product and engineering teams to shape the roadmap
Your Skills and Experience
Strong commercial engineering experience in AI, machine learning or data focused roles Hands on experience with retrieval augmented generation and production LLM workflows Confidence debugging and improving end to end LLM systems in live environments Experience working with modern data infrastructure such as Snowflake, BigQuery or Redshift Familiarity with graph databases and knowledge graphs, for example Neo4j, is highly desirable Comfortable in client facing environments, with the ability to work closely with non technical stakeholders Background in consultancy, product led organisations or start ups working closely with end users is beneficial No prior biotech experience required, but curiosity and the ability to learn complex domains quickly is essential
Read via Reed on
Information from public records, not immigration advice.