automation and CI/CD Strong STEM degree or equivalent professional experience Desirable skills: Deep knowledge of Python, including any of the frameworks we currently use: Flask, SqlAlchemy, Alembic, Pydantic Experience with relational databases, ideally Postgres Experience of message-based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge of the core AWS services More ❯
london, south east england, united kingdom Hybrid / WFH Options
TreasurySpring
automation and CI/CD Strong STEM degree or equivalent professional experience Desirable skills: Deep knowledge of Python, including any of the frameworks we currently use: Flask, SqlAlchemy, Alembic, Pydantic Experience with relational databases, ideally Postgres Experience of message-based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge of the core AWS services More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
TreasurySpring
automation and CI/CD Strong STEM degree or equivalent professional experience Desirable skills: Deep knowledge of Python, including any of the frameworks we currently use: Flask, SqlAlchemy, Alembic, Pydantic Experience with relational databases, ideally Postgres Experience of message-based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge of the core AWS services More ❯
slough, south east england, united kingdom Hybrid / WFH Options
TreasurySpring
automation and CI/CD Strong STEM degree or equivalent professional experience Desirable skills: Deep knowledge of Python, including any of the frameworks we currently use: Flask, SqlAlchemy, Alembic, Pydantic Experience with relational databases, ideally Postgres Experience of message-based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge of the core AWS services More ❯
and SFTP. This list is not exhaustive. Our services are written in Python and Scala. Our Scala code uses the Typelevel ecosystem extensively. Our Python code uses FastAPI and Pydantic extensively. We use open source technologies to underpin our backend services, things like Apache Kafka, Postgres, nginx, and Kubernetes. Our infrastructure is expressed as code using OpenTofu (the FOSS fork More ❯
Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineer Apply locations London, UK time type Full time posted on Posted 5 Days Ago job requisition id R15074 Job Title Senior Machine Learning Engineer Job Description Here at UnderwriteMe More ❯
goals into concrete AI Agentic workflow, prompts and predictable outputs Design, implement, and ship agent workflows in Python Write excellent prompts and structured output schemas (JSON/JSON‐Schema, Pydantic) that are robust across models and providers. Integrate and operate multiple LLM providers (OpenAI primarily, also Anthropic and Google today, evaluate Groq/Cerebras and others for cost/latency … handling. Collaborate with product/ops to validate outputs with users, and iterate quickly. Our current/target stack (you don't need all of this) Python: 3.12+, FastAPI, Pydantic, asyncio/httpx, pytest, mypy LLM orchestration & evals: OpenAI/Anthropic/Gemini; Orq.ai and LangSmith are in use today (nice‐to‐have, not required); experience with lightweight, framework‐agnostic More ❯
goals into concrete AI Agentic workflow, prompts and predictable outputs Design, implement, and ship agent workflows in Python Write excellent prompts and structured output schemas (JSON/JSON‐Schema, Pydantic) that are robust across models and providers. Integrate and operate multiple LLM providers (OpenAI primarily, also Anthropic and Google today, evaluate Groq/Cerebras and others for cost/latency … handling. Collaborate with product/ops to validate outputs with users, and iterate quickly. Our current/target stack (you don't need all of this) Python: 3.12+, FastAPI, Pydantic, asyncio/httpx, pytest, mypy LLM orchestration & evals: OpenAI/Anthropic/Gemini; Orq.ai and LangSmith are in use today (nice‐to‐have, not required); experience with lightweight, framework‐agnostic More ❯
goals into concrete AI Agentic workflow, prompts and predictable outputs Design, implement, and ship agent workflows in Python Write excellent prompts and structured output schemas (JSON/JSON‐Schema, Pydantic) that are robust across models and providers. Integrate and operate multiple LLM providers (OpenAI primarily, also Anthropic and Google today, evaluate Groq/Cerebras and others for cost/latency … handling. Collaborate with product/ops to validate outputs with users, and iterate quickly. Our current/target stack (you don't need all of this) Python: 3.12+, FastAPI, Pydantic, asyncio/httpx, pytest, mypy LLM orchestration & evals: OpenAI/Anthropic/Gemini; Orq.ai and LangSmith are in use today (nice‐to‐have, not required); experience with lightweight, framework‐agnostic More ❯
goals into concrete AI Agentic workflow, prompts and predictable outputs Design, implement, and ship agent workflows in Python Write excellent prompts and structured output schemas (JSON/JSON‐Schema, Pydantic) that are robust across models and providers. Integrate and operate multiple LLM providers (OpenAI primarily, also Anthropic and Google today, evaluate Groq/Cerebras and others for cost/latency … handling. Collaborate with product/ops to validate outputs with users, and iterate quickly. Our current/target stack (you don't need all of this) Python: 3.12+, FastAPI, Pydantic, asyncio/httpx, pytest, mypy LLM orchestration & evals: OpenAI/Anthropic/Gemini; Orq.ai and LangSmith are in use today (nice‐to‐have, not required); experience with lightweight, framework‐agnostic More ❯
london (city of london), south east england, united kingdom
Evergrowth
goals into concrete AI Agentic workflow, prompts and predictable outputs Design, implement, and ship agent workflows in Python Write excellent prompts and structured output schemas (JSON/JSON‐Schema, Pydantic) that are robust across models and providers. Integrate and operate multiple LLM providers (OpenAI primarily, also Anthropic and Google today, evaluate Groq/Cerebras and others for cost/latency … handling. Collaborate with product/ops to validate outputs with users, and iterate quickly. Our current/target stack (you don't need all of this) Python: 3.12+, FastAPI, Pydantic, asyncio/httpx, pytest, mypy LLM orchestration & evals: OpenAI/Anthropic/Gemini; Orq.ai and LangSmith are in use today (nice‐to‐have, not required); experience with lightweight, framework‐agnostic More ❯
