pinpoint
Machine Learning Engineer
Xantura
London, GBR
Full-time
Mid · 3+ years experience
Hybrid
GBP 50000-70000 yearly / year
Discovered 2 weeks ago
PythonDagsterAirflowPrefectPyTorchscikit-learn
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
PythonDagsterAirflow
Key Skills for This Role
PythonDagsterAirflowPrefectPyTorchscikit-learn
Full Job Posting
Key Responsibilities
- Own and advance a predictive modelling platform that scales across problem types and tenants, using it to design, implement, and iterate models (embedding-based sequence encoders, temporal survival models, gradient-boosted decision trees) that predict key vulnerabilities in housing, health, and other social domains.
- Track developments in ML and frontier models, running structured experiments to bring promising techniques into production safely.
- Build robust evaluation pipelines, training datasets, and model infrastructure to support continuous improvement of natural language & predictive analytics.
- Ensure responsible AI deployment, embedding ethical and regulatory considerations into every stage of development.
Skills, Knowledge & Expertise
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical field – or equivalent practical experience.
- 3+ years of professional experience as an ML Engineer, or related role.
- Strong programming skills and production experience in Python.
- Experience building and maintaining data or ML pipelines with an orchestration tool such as Dagster (or Airflow, Prefect, etc.).
- Hands-on experience with common ML libraries and frameworks, e.g. PyTorch, scikit-learn, and gradient-boosting libraries such as XGBoost or LightGBM.
- Clear evidence of practical experience defining and deploying containerised systems, i.e.: Implementing APIs for internal services, e.g. via FastAPI; Deploying containerised systems to production, in particular via Kubernetes.
- Implementing APIs for internal services, e.g. via FastAPI;
- Deploying containerised systems to production, in particular via Kubernetes.
- PhD in Computer Science, Machine Learning, or a related field with a strong publication record in text analytics, representation learning, or applied predictive modelling.
- Practical experience productionising LLMs, i.e.: Working with vector databases and developing retrieval-augmented generation (RAG) pipelines – experience setting up/configuring vector DBs, as well as using, would be advantageous; Finding and productionising recent AI models (e.g. via Huggingface (transformers), OpenAI APIs); Building agentic systems (e.g. via LangChain, AutoGen, PydanticAI).
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Xantura
Project Delivery Manager
London, GBR
ManagerFull-time
Xantura is seeking a Project Delivery Manager to lead client software implementation and transformation projects from scope through delivery. The role manages plans, risks, stakeholders, change adoption and commercial su
Discovered 3 days agoView →
Senior Machine Learning Engineer (Maternity Leave Cover)
London, GBR
SeniorFull Time, Contract
Discovered 1 weeks agoView →
Project Delivery Manager
London, GBR
Discovered 3 days agoFull-time
Senior Machine Learning Engineer (Maternity Leave Cover)
London, GBR
Discovered 1 weeks agoFull Time, Contract
Data Engineer
London, GBR
Discovered 1 weeks agoFull-time
Senior Data & Analytics Consultant
London, GBR
Discovered 1 weeks agoFull-time
Project Delivery Manager
London, GBR
Discovered 1 weeks agoFull-time
Senior ML Ops Engineer
London, GBR
Discovered 2 weeks agoFull-time