Vetted on a call by a Wave consultant, not scraped. Up to £120,000.
Set up AI agent automation pipelines end to end at a consultancy serving large hospitality clients, building email automations and chatbots against Snowflake, and working across AWS, GCP and Azure before moving to their current forward deployed role. The depth is real, LangGraph and Graph RAG, document AI with Google Document AI and Azure OCR, FastAPI on Lambda and Azure Functions, and a PhD in AI with peer-reviewed work on models for energy optimisation.
Looking forThey found the last job too easy, mostly tuning prompts and adjusting agent behaviour, and want problems that stretch them. High ownership, fast pace, equity, and a genuine research-to-production bridge.
How they came acrossAsked detailed questions about how technical processes are structured, which is the sort of thing that separates people who want the work from people who want the title. Their enthusiasm was strongest for a founding-team environment that reminded them of the PhD.
Python, FastAPI, Pydantic · LangGraph, LangChain, Graph RAG, FAISS · Azure OpenAI, Gemini, Claude, prompt engineering · AWS, Azure, GCP, Docker, Snowflake
PhD research in AI, a .NET and software development chapter, then AI engineering in consultancy and now a forward deployed role at a software company. 6 employers, average tenure 1 year 4 months, longest 3 years 6 months.
Our prescreen predates their current job, so the employer detail needs confirming, and they're relocating from Dorset to west London. They have indefinite leave to remain, so no sponsorship needed.
PhD in computer science from a Russell Group university, specialising in AI.
Delivers LLM solutions into UK government, including the Ministry of Justice and the NHS, and into private care providers. Fine-tunes models, builds the evaluation frameworks around them and generates synthetic data where the real data won't stretch, with Python and SQL underneath the pipelines. Their pilot-to-production conversion rate is 100%, which for public sector AI work is the number that matters.
Looking forInnovation has slowed as their team has grown and they're usually the only one pushing for change. They want a faster client-facing AI environment where that's the norm, with shared ownership and a stake in product direction.
How they came acrossThey're very good with AI-cautious stakeholders. Repeatedly turns risk-averse, sceptical clients into actual users by explaining the problem in plain language, customising for them and iterating fast. Came into this from teaching and frontline social care, which is where that patience comes from.
Python, SQL, data pipelines · LLM fine-tuning, evaluation frameworks, synthetic data · Prompt and AI-readable instruction design · Document-based workflows, integration, AI deployment
Teaching and frontline social care, then relationship management, into AI delivery at a non-profit technology company. 4 employers, average tenure 1 year 11 months, longest 4 years 1 month.
They came into technology sideways, so their strength is adoption, evaluation and stakeholder work rather than deep systems build, and our prescreen is around 9 months old.
Masters in the history of political thought and intellectual history, from a Russell Group university.
Runs 7 biotech and medtech software implementations at once, on their own, from requirements scoping through custom development to end-user training. TypeScript for the build work, Python for automation, and GxP compliance validation wrapped round it because the customers are regulated labs. Before that, ETL pipelines and AWS-hosted sustainability dashboards at a data consultancy.
Looking forWants somewhere more technical with people to learn from. They took the forward deployed route deliberately to get customer exposure, and now want the engineering half of the job to grow.
How they came acrossIn front of customers in Miami by week 5 and took it in their stride. Self-directed, and honest that the balance has tipped too far towards the customer side for what they want next.
TypeScript, Python, SQL · AWS, Lambda, Fargate, Redshift, Athena, Terraform · PostgreSQL, Kafka, Streamlit
2 employers over 2 years, a data and analytics consultancy and then a healthcare software company. Average tenure 6 months, longest stint 8 months.
They are actively trying to get away from customer-facing work, which is the whole job in a forward deployed role, so test that hard before you put them in front of a client. Only 2 years in.
Masters in manufacturing engineering from a top ranked UK university.
Tell me which came closest and I recalibrate, then come back with 10 to 15 more inside 24 hours.
Show me the wider bank