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Full‑Stack Machine Learning Engineer

London
Posted about 1 month ago
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Full‑Stack Machine Learning Engineer

About The Business

LexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk solutions at the link below, https://risk.lexisnexis.com/

About The Role

Build and deploy ML‑powered services, tools, and full‑stack applications supporting fraud and identity analytics. Work across backend services, model‑serving pipelines, and user interfaces.

Key Responsibilities

Develop ML inference APIs, microservices, and data/feature pipelines. Build full‑stack tools to support model evaluation and transparency. Integrate ML models into real‑time production systems. Implement automated training, monitoring, and evaluation workflows. Use and contribute to AI‑assisted development tools. Own DevOps and security standards for assigned services. Collaborate with data scientists, architects, and QA.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Required Experience

4+ years software engineering (backend, full‑stack, or ML). Strong Python and Java. Snowflake or similar data‑platform experience. Familiarity with ML model serving and feature engineering. Strong ownership and independent execution. Working knowledge of DevOps and secure engineering.

Preferred Experience

LLMs, embeddings, or vector databases. Behavioural, graph, or anomaly detection models. dbt, Snowpark, or Snowflake ML.

Working For You

We offer a range of benefits to support your wellbeing and life outside work, including:

Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work Learn more about the LexisNexis Risk team and how we work here

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“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

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Skills

Machine Learning
Python
Java
Microservices
Data Pipelines
Model Serving
Feature Engineering
DevOps
Security Engineering
LLMs
Embeddings
Vector Databases
Graph Models
Anomaly Detection
Snowflake
Snowpark

Location

London, England, United Kingdom

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