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. Our goal is to run real-time investigations on payments to provide rich context on the counterparty and situation, intercepting scams while ensuring genuine payments flow smoothly. As an early-stage team, we are moving fast and tackling problems where correctness, security, and reliability are non-negotiable. By joining us, youll work on a mission with real-world impact and have the opportunity to make meaningful technical decisions.
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You can find Machine Learning Engineer salaries in the UK here.
How many Machine Learning Engineer jobs are in the UK?
Currently, there are 3016 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the UK a good place for Machine Learning Engineers?
The UK is one of the best countries to work as a Machine Learning 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 Machine Learning 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 ML, AI roles in the UK.
The company with most openings is Experis as they are hiring for 90 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Experis as they are hiring for 90 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.