3016 IT & Software Developer jobs in the UK
Requirements
Must:
- Strong experience shipping applied ML into production (not just experimentation)
- Strong Python + ability to write maintainable, tested code
- Strong SQL + comfort working directly with messy, high-volume data
- Solid modelling judgement: calibration, leakage, bias, thresholding, cost trade-offs, monitoring/drift
- Experience building decisioning systems where reliability, latency, and explainability matter
- Experience in fraud/scams, payments, risk, trust & safety, AML, or adjacent domains (nice-to-have)
- Familiarity with graph/network features and entity resolution style problems (nice-to-have)
- Experience with MLOps tooling (model registry/MLflow, feature stores, orchestration) (nice-to-have)
- Comfort with cloud-native/event-driven systems and working closely with platform/backend engineers (nice-to-have)
- Experience integrating unstructured signals (text/embeddings/RAG style pipelines) into decision systems (nice-to-have)
Responsibilities
- Build and ship scam risk models and signals (typology classification, risk scoring, decision logic)
- Engineer features across heterogeneous data: transaction context, behavioural sequences, counterparty signals, network/graph patterns, and unstructured evidence
- Design calibrated outputs (scores + reason codes) that are actionable and explainable for banking workflows
- Own evaluation end-to-end: leakage avoidance, cost-sensitive metrics, thresholding, phased rollouts, and post-incident learning
- Productionise ML: packaging, deployment, monitoring, drift detection, and retraining strategies
- Collaborate closely with backend/product teams to integrate intelligence into real-time payment flows
- Work alongside agent/LLM workflows for evidence gathering and synthesis, while keeping the decision core predictable and auditable
Description
We are a high-growth fintech company building a payment intelligence layer for banks, focused on running real-time investigations on payments to provide rich context on counterparties and situations. Our goal is to intercept scams while ensuring genuine payments flow smoothly. We are at an early stage, moving fast, and tackling problems where correctness, security, and reliability are non-negotiable. Join us for a mission with real-world impact, work on real-time, bank-grade ML systems, and enjoy high autonomy with meaningful technical decisions in a London hybrid work environment. Visa sponsorship is also available.
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You can find Data Engineer salaries in the UK here.
How many Data Engineer jobs are in the UK?
Currently, there are 3016 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the UK a good place for Data Engineers?
The UK is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the UK?
Bluefruit Software Limited, EG Group, Bank of America, Roots Plants, Cirrus Nexus, Leger Shearings Group, Treloar School & College among others, are currently hiring for Data roles in the UK.
The company with most openings is Experis as they are hiring for 90 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.
The company with most openings is Experis as they are hiring for 90 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.