Data/ML Engineer
Role details
Job location
Tech stack
Job description
Our forecasting algorithm and time-series models are already built. What we need now is someone to make them run reliably-ingesting messy client data, maintaining our GCP/BigQuery infrastructure, and shipping outputs consistently as we scale from pilot to production. This role owns that., Data pipelines - Build, maintain, and improve our ETL/ELT pipelines. Ingest messy client data (CSV exports, varying formats, schema mismatches) and transform it reliably for forecasting.
Production systems - Deploy statistical/ML models and keep them running at scale. Monitor pipelines and models, set up alerting for failures and data quality issues.
Visibility - Build dashboards so the team and clients can see model health and forecast outputs in real time. Surface insights when performance drifts.
Infrastructure ️ - Own our GCP environments, BigQuery setup, dependency management, and release processes.
Code quality - Write well-structured, tested Python with proper version control practices (branching, PRs, code review).
Client onboarding - Own the end-to-end process from receiving a client's first data extract to delivering clean forecast outputs.
Collaboration - Work closely with our Head of Data Science to run, maintain, and troubleshoot existing models. Document systems and runbooks clearly.
Team & reporting
- You'll be the first dedicated Data/ML Engineer, working directly with the founder (who loves using AI to build stuff and has a background in UX and product) as their technical sidekick. You'll also collaborate closely with our Head of Data Science and the rest of the founding team. This is a high-impact role where you'll shape how we build and scale our technology, data infrastructure from day one., Title: Software Engineer Client: Salary: Up to £140,000 + Bonus + Benefits Location: London (Hybrid) Step into a high-performance role at the intersection of finance and technology. As a software engineer you will develop and optimise critical trading systems, build..., A leading retail group in the UK is looking for a Machine Learning Engineer to help operationalize advanced AI solutions. Your role involves developing robust machine learning models and ensuring their seamless deployment into production. You will be part of a...
Requirements
You're a Data/ML Engineer with strong software engineering instincts. You write clean Python, you're comfortable wrangling dataframes, and you know how to build pipelines that don't break at 2am.
Required
1-3 years of commercial experience in data engineering, ML engineering, or a similar role
️ Strong Python skills with hands-on pandas/dataframe experience
Experience building and running data pipelines (ETL/ELT) with orchestration tools
️ Familiarity with cloud platforms (GCP preferred) and tools like BigQuery
️ Comfortable working with messy, real-world data-CSV ingestion, schema validation, inconsistent formats
Able to deploy and monitor models and pipelines in production
Can build and maintain dashboards to give the team and clients real-time visibility into model health and forecast outputs
You love AI tools and use them to build shit fast-Cursor, Claude, Copilot, whatever gets the job done
Clear communicator who documents well and cares about reliability, not just shipping fast
Excited to work in a small, fast-paced startup where you'll take ownership and jump in wherever needed
Desirable
Enough statistics/ML knowledge to retrain, tune, and troubleshoot models-not just wrap APIs
️ Experience owning infrastructure: environments, dependencies, CI/CD, rollbacks
Familiarity with containerisation (Docker) or infrastructure-as-code
️ Interest in food retail, fresh food, or supply chain domains
Benefits & conditions
Job Description Senior System Engineer (AI/ML) | Permanent position - Location: Central London - Onsite: 5 days a week (South Kensington / Waterloo) - Salary: Up to £82,500 + Excellent Benefits - Available position: 2 positions Our client, an IT consulting and services...
