data engineer

ai engineer

data scientist

devops engineer

machine learning engineer

data infrastructure engineer

reddit

<div><div><div><div><div><div><div><div>Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com.</div>
</div>
</div></div></div></div></div>Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.

Team Overview

We're building a scalable feature platform that powers Ads ML by making high-quality features and training datasets easy to build, share, and maintain. Our small but growing team works on projects like batch &amp; realtime feature management platform, training set generation platform, sequence features platform and, agentic and automated ML workflows for feature lifecycle management.

We are looking for an engineer with experience in building high-scale data infrastructure and exposure to ML platforms to help evolve and scale our feature management systems.

This is not a pure ML modeling role. The ideal candidate is excited about building reliable infrastructure, data pipelines, and developer-facing tools that make ML engineers more productive.

What You'll Do
<ul>
<li>Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage.</li>
<li>Develop frameworks for batch and real-time features with a focus on reliability, scalability, and ease of use.</li>
<li>Build platform capabilities for feature governance, including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning</li>
<li>Partner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems.</li>
<li>Build systems that support agentic ML workflows, including automated feature discovery, feature quality evaluation and feature lifecycle management</li>
<li>Contribute to operational excellence through observability, performance tuning, reliability engineering, and cost optimization initiatives.</li>
</ul>
What You Bring
<ul>
<li>3+ years in data infrastructure/platform engineering or ML infrastructure platforms.</li>
<li>Hands-on experience building production services, data pipelines, APIs, workflow systems, or developer tools.</li>
<li>Experience with at least one distributed data or compute system such as Spark, PySpark, Flink, Kafka, Ray, Airflow, Kubernetes, BigQuery, or similar technologies.</li>
<li>Familiarity with ML data workflows such as feature generation, training dataset creation, batch processing, real-time data processing, model training, experimentation, or online serving.</li>
<li>Strong coding skills and ability to write clean, maintainable, well-tested code.</li>
<li>Experience building intelligent automation or agentic workflows for ML systems is a strong plus</li>
<li>Experience with ML infrastructure and MLOps workflows spanning feature engineering, training pipelines, experimentation, model deployment, and online serving is a plus</li>
</ul>
Benefits:
<ul>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Group Personal Pension Scheme with Employer match</li>
<li>Private Medical and Dental Scheme</li>
<li>Income Replacement Programs</li>
<li>Bike to Work scheme</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave</li>
</ul><div>
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</div></div>

Machine Learning Systems Engineer, Ads ML Platform

RELX Group

<div>Are you motivated to build scalable data solutions that directly shape customer engagement and marketing performance?
Do you enjoy collaborating across teams to turn complex data into actionable insights and real-time decision making?
<h3 class="jobSectionHeader">About the Business
</h3>LexisNexis&reg; Risk Solutions provides customers with solutions and decision tools that combine public and industry-specific content with advanced technology and analytics to assist 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 help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier, and processes more efficient.
About Our Team
The MarTech &ndash; Marketing Automation team is a dynamic group managing several SaaS-based solutions within the Marketing Technology stack for LNRS Data Services.
About the Role
This role focuses on building and optimising data infrastructure that enables advanced marketing and customer data capabilities. You will create scalable pipelines, data models, and governance practices that support analytics, segmentation, and real-time engagement. Working closely with cross-functional teams, you will help deliver reliable, high-quality data solutions that drive business outcomes.
Responsibilities
<ul><li>Build and maintain scalable data pipelines integrating customer, campaign, and operational data into the CDP and marketing data layer
</li><li>Design and manage data models to support segmentation, lifecycle analytics, attribution, and KPI measurement
</li><li>Ensure data quality, consistency, deduplication, and optimisation for analytics and reporting use cases
</li><li>Enable CDP functionality including identity resolution, consent management, and audience readiness
</li><li>Develop event streams and triggers to support customer journey orchestration and real-time decisioning
</li><li>Provide structured datasets and semantic layers for dashboards and advanced analytics
</li><li>Implement data governance practices, including lineage, cataloguing, validation, and GDPR/PII compliance
</li><li>Partner with analytics, MarTech, and marketing teams to align data solutions with business needs
</li></ul>Requirements
<ul><li>Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory)
</li><li>Experience with cloud data platforms (e.g., Azure, AWS, or GCP)
</li><li>Proficiency in data modelling (dimensional, entity-relationship, event-driven)
</li><li>Understanding of marketing data ecosystems, including CDPs, CRM, and behavioural data
</li><li>Experience supporting analytics and BI tools (e.g., Power BI, Tableau) from a data engineering perspective
</li><li>Knowledge of data governance, quality frameworks, and secure data handling (including GDPR/PII)
</li><li>Ability to translate business requirements into scalable technical solutions
</li><li>Strong collaboration and communication skills with technical and non-technical stakeholders
</li></ul>You can learn more about LexisNexis Risk Solutions here:
 
LexisNexis Risk Solutions 
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Senior Data Scientist II

Lupa Pets

<div>About Us
Lupa is building a category defining product the industry has never seen before.
We're the AI-native operating system for veterinary practices and pet parents, replacing the fragmented, clunky systems vets have tolerated for years with a single intelligent platform for scheduling, client communication, clinical documentation, and AI-driven care guidance. Practices run more efficiently, vets get back to doing what they love, and pet parents feel more connected to their animals' health than ever.
The traction speaks for itself: founded in 2023 and already one of Europe's top 100 AI startups, with a team of 50 people, 10x growth in twelve months, the UK market leader, and now charging hard into the US and Europe. We have $25M in funding, 1M+ pets on the platform, and a buzzing HQ in Paddington, London. We've attracted exceptional people from the likes of Palantir, Google, DeepMind, BCG, Meta, and AWS and we're just getting started.
This is a rare chance to join a rocket ship at exactly the right moment and we're looking for exceptional people to help us fly it.
In this role, you will:<ul><li>
Design and build data pipelines from raw ingestion through to clean, modelled, production-ready datasets that engineering and product teams rely on</li><li>
Own data quality across your domain, defining standards, instrumenting checks, and resolving failures with urgency</li><li>
Monitor pipeline health in production and respond to issues proactively, not reactively</li><li>
Collaborate with engineering and product to understand data requirements and turn them into robust, scalable solutions</li><li>
Help define and evolve the architecture of our data platform as we scale across new geographies and product surfaces</li><li>
Document your work clearly so the team can understand, extend, and maintain what you build</li></ul>
Your background looks something like:<ul><li>
Multiple years of hands-on data engineering experience in a professional setting</li><li>
Strong Python skills and a demonstrated ability to build pipelines from scratch, not just extend existing ones</li><li>
Solid knowledge of data modelling and practical experience with Apache Spark, AWS services, Docker, and Airflow</li><li>
Experience in a startup or fast-growth environment where you&rsquo;ve made pragmatic decisions under uncertainty</li><li>
Scala experience (nice to have, we&rsquo;re happy to invest in teaching it if your foundations are strong)</li><li>
Familiarity with dbt, Delta Lake, or similar modern data transformation tooling (nice to have)</li><li>
Exposure to ML pipelines or feature stores (nice to have)</li></ul>
As a person, you:<ul><li>
Have a proactive, ownership-oriented mindset. You don&rsquo;t wait to be told something is broken</li><li>
Take genuine pride in craft and correctness, and hold yourself to a high bar</li><li>
Collaborate well with engineering teams who consume your data and communicate clearly across functions</li><li>
Thrive in environments where you&rsquo;re expected to build from scratch, not inherit a tidy queue of tickets</li><li>
Are excited to work in-person from our Paddington, London HQ (or equivalent location)</li></ul>
What does success look like in 6 months?<ul><li>
You&rsquo;ve built and shipped at least two meaningful pipelines end-to-end</li><li>
You own a defined area of the data platform and are making architectural calls with confidence</li><li>
The team trusts your judgement without needing to review every decision</li></ul></div>

Data Engineer

Understanding Recruitment

<div>
 
 
 Founding MLOps &amp; Data Engineer - London (4 days on site)
 
 
 
 
 
 
 A venture-backed AI startup that's using machine learning to solve one of the biggest challenges in the mining industry are looking for a Founding MLOps &amp; Data Engineer to build the infrastructure that takes cutting-edge ML into production.
 
 
 
 
 
 
 What will I be doing?
 
 
 
 
 
 <ul>
 <li>
 Own the company's MLOps and data engineering strategy from the ground up.
 </li>
 <li>
 Build scalable data pipelines and production ML infrastructure.
 </li>
 <li>
 Develop reproducible, versioned and auditable machine learning workflows.
 </li>
 <li>
 Work closely with ML researchers to productionise new models.
 </li>
 <li>
 Collaborate with product engineers to integrate ML into customer-facing applications.
 </li>
 <li>
 Shape the architecture of the ML platform as the company grows, with plenty of autonomy to influence technical decisions.
 </li>
 </ul>
 
 
 
 
 
 What we're looking for:
 
 
 
 
 
 <ul>
 <li>
 Strong Python engineering skills with experience building production data pipelines.
 </li>
 <li>
 Commercial experience owning MLOps infrastructure and deploying machine learning models.
 </li>
 <li>
 Experience working with cloud platforms (Azure, AWS or GCP).
 </li>
 <li>
 A self-starter who enjoys working in fast-paced startup environments with lots of ownership.
 </li>
 <li>
 Someone who can work through ambiguity, prioritise effectively and solve problems independently
 </li>
 <li>
 Geospatial ML or scientific computing experience would be a plus
 </li>
 <li>
 Experience working in an early-stage or founding engineering team.
 </li>
 </ul>
 
 
 
 
 
 What's in it for you?
 
 
 
 
 
 <ul>
 <li>
 Salary between &pound;70,000 - &pound;100,000 depending on experience.
 </li>
 <li>
 Meaningful equity in a well-funded, early-stage startup.
 </li>
 <li>
 The opportunity to build and own the company's ML platform from day one.
 </li>
 <li>
 Work alongside experienced founders and engineers tackling genuinely difficult technical problems.
 </li>
 </ul>
 
 
 
 
 Apply now for immediate consideration!
 
</div>

Founding MLOps & Data Engineer

Signify Technology

<div>
 
 Job Title:
 
 Platform Engineer
 
 
 
 Location
 
 : London (Hybrid)
 
 
 
 Employment Type
 
 : Full-time
 
 
 
 About The Role
 
 
 
 My client are seeking an experienced platform engineer to join their team in London. This role is ideal for someone who thrives at the intersection of infrastructure, security, and software engineering. You&rsquo;ll be instrumental in designing, building, and maintaining our platform infrastructure, with a focus on secure, scalable, and reliable systems.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead infrastructure projects from start to finish, delivering secure, scalable, and high-performance systems
 </li>
 <li>
 Design, build, and maintain cloud and on-premises infrastructure with security and reliability in mind
 </li>
 <li>
 Write high-quality internal tools and automation scripts using Python
 </li>
 <li>
 Collaborate with engineering and security teams to ensure compliance, observability, and incident readiness
 </li>
 <li>
 Contribute to infrastructure as code and CI/CD pipeline improvements
 </li>
 <li>
 Monitor system health and performance, proposing and implementing enhancements
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 5+ years of experience in platform, infrastructure, or DevOps engineering roles
 </li>
 <li>
 Proven track record of leading infrastructure or security projects end to end
 </li>
 <li>
 Strong knowledge coding in Python and comfortable using it
 </li>
 <li>
 Strong background in infrastructure architecture and operations
 </li>
 <li>
 Deep understanding of security best practices across cloud and on-prem environments
 </li>
 <li>
 Proficiency in Python, with experience building tools or automation scripts
 </li>
 <li>
 Familiarity with AWS and its tools
 </li>
 <li>
 Excellent communication skills and a collaborative mindset
 
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 Experience with AI/ML infrastructure or supporting data science workflows
 
 
 Exposure to MLOps tooling or machine learning model deployment
</div>

Platform Engineer

Data Idols

<div><h2 class="jobSectionHeader">Staff Security Engineer</h2>

Salary: Up to &pound;150,000 + Benefits

Location: London (Hybrid &ndash; 3 days per week in the office)

We are currently looking for a Staff Security Engineer to join a fast-growing, innovative technology business operating at the forefront of AI and data-driven products. This is an exciting opportunity to join a highly collaborative, engineering-led environment where security is viewed as a key enabler of innovation. Reporting to the Head of Engineering, the Staff Security Engineer will play a pivotal role in shaping the organisation&rsquo;s security posture, working closely with software engineers, platform teams and technical leadership to embed security throughout the software development lifecycle.

This is not a traditional SOC or operational security position. Instead, the Security Engineer will focus on securing applications, cloud infrastructure and development practices, helping the business build secure products at scale whilst influencing security strategy across the wider organisation.
<h2 class="jobSectionHeader">
The Opportunity</h2>

As the Staff Security Engineer, you&rsquo;ll work at the intersection of software engineering, cloud infrastructure and cyber security, helping to build and maintain a secure-by-design culture across the business.

Key responsibilities include:
<ul>
<li>Driving application and product security initiatives across multiple engineering teams</li>
<li>Conducting security reviews, threat modelling and risk assessments</li>
<li>Implementing and improving vulnerability management processes</li>
<li>Embedding security tooling into CI/CD pipelines and development workflows</li>
<li>Partnering with developers to promote secure coding practices</li>
<li>Reviewing cloud infrastructure and architecture from a security perspective</li>
<li>Supporting incident response and remediation activities when required</li>
<li>Defining and promoting security standards, policies and best practices</li>
<li>Influencing technical decision-making across engineering and leadership teams</li>
</ul>
This role offers the opportunity to make a genuine impact within a growing technology organisation where security is a strategic priority rather than an afterthought.
<h2 class="jobSectionHeader">
What&rsquo;s in it for you?</h2>
<ul><li>Salary up to &pound;150,000</li>
<li>Hybrid working model</li>
<li>Opportunity to work on cutting-edge AI and technology products</li>
<li>High level of autonomy and influence</li>
<li>Collaborative engineering culture</li>
<li>Career progression opportunities as the business continues to scale</li>
<li>Ongoing learning and professional development</li>
<li>Pension scheme</li>
<li>Generous holiday allowance</li>
</ul><h2 class="jobSectionHeader">Skills and Experience</h2>
<ul><li>Commercial experience as a Security Engineer, Application Security Engineer, Product Security Engineer or DevSecOps Engineer</li>
<li>Strong understanding of application security principles and secure software development practices</li>
<li>Experience working closely with software engineering teams</li>
<li>Hands-on experience securing cloud environments (AWS, GCP or Azure)</li>
<li>Experience with vulnerability management, threat modelling and security reviews</li>
<li>Knowledge of CI/CD security and modern development practices</li>
<li>Excellent stakeholder management and communication skills</li>
</ul><h3 class="jobSectionHeader">Eligibility</h3>

Please note that candidates must have full, unrestricted right to work in the UK. Unfortunately, sponsorship is not available for this position.

If you would like to be considered for the role and feel you would be an ideal fit, please submit your CV by clicking the Apply button below.</div><div></div>

Staff Security Engineer

<div><h2 class="jobSectionHeader">Lead Software Security Engineer</h2>

Salary: Up to &pound;150,000 + Benefits

Location: London (Hybrid &ndash; 3 days per week in the office)

We are currently looking for a Lead Software Security Engineer to join a fast-growing, innovative technology business operating at the forefront of AI and data-driven products. This is an exciting opportunity to join a highly collaborative, engineering-led environment where security is viewed as a key enabler of innovation. Reporting to the Head of Engineering, the Lead Security Engineer will play a pivotal role in shaping the organisation&rsquo;s security posture, working closely with software engineers, platform teams and technical leadership to embed security throughout the software development lifecycle.

This is not a traditional SOC or operational security position. Instead, the Security Engineer will focus on securing applications, cloud infrastructure and development practices, helping the business build secure products at scale whilst influencing security strategy across the wider organisation.
<h2 class="jobSectionHeader">
The Opportunity</h2>

As the Lead Security Engineer, you&rsquo;ll work at the intersection of software engineering, cloud infrastructure and cyber security, helping to build and maintain a secure-by-design culture across the business.

Key responsibilities include:
<ul>
<li>Driving application and product security initiatives across multiple engineering teams</li>
<li>Conducting security reviews, threat modelling and risk assessments</li>
<li>Implementing and improving vulnerability management processes</li>
<li>Embedding security tooling into CI/CD pipelines and development workflows</li>
<li>Partnering with developers to promote secure coding practices</li>
<li>Reviewing cloud infrastructure and architecture from a security perspective</li>
<li>Supporting incident response and remediation activities when required</li>
<li>Defining and promoting security standards, policies and best practices</li>
<li>Influencing technical decision-making across engineering and leadership teams</li>
</ul>
This role offers the opportunity to make a genuine impact within a growing technology organisation where security is a strategic priority rather than an afterthought.
<h2 class="jobSectionHeader">
What&rsquo;s in it for you?</h2>
<ul><li>Salary up to &pound;150,000</li>
<li>Hybrid working model</li>
<li>Opportunity to work on cutting-edge AI and technology products</li>
<li>High level of autonomy and influence</li>
<li>Collaborative engineering culture</li>
<li>Career progression opportunities as the business continues to scale</li>
<li>Ongoing learning and professional development</li>
<li>Pension scheme</li>
<li>Generous holiday allowance</li>
</ul><h2 class="jobSectionHeader">Skills and Experience</h2>
<ul><li>Commercial experience as a Security Engineer, Application Security Engineer, Product Security Engineer or DevSecOps Engineer</li>
<li>Strong understanding of application security principles and secure software development practices</li>
<li>Experience working closely with software engineering teams</li>
<li>Hands-on experience securing cloud environments (AWS, GCP or Azure)</li>
<li>Experience with vulnerability management, threat modelling and security reviews</li>
<li>Knowledge of CI/CD security and modern development practices</li>
<li>Excellent stakeholder management and communication skills</li>
</ul><h3 class="jobSectionHeader">Eligibility</h3>

Please note that candidates must have full, unrestricted right to work in the UK. Unfortunately, sponsorship is not available for this position.

If you would like to be considered for the role and feel you would be an ideal fit, please submit your CV by clicking the Apply button below.</div><div></div>

Lead Software Security Engineer

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