senior reliability engineer

Axon

<div>
 
 Join Axon and be a Force for Good.
 
 
 
 At Axon, we&rsquo;re on a mission to Protect Life. We&rsquo;re explorers, pursuing society&rsquo;s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
 
 
 Life at Axon is fast-paced, challenging and meaningful. Here, you&rsquo;ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
 
 
 
 Your Impact
 
 
 
 Join us in shaping the future of infrastructure automation for mission-critical law enforcement systems. As a Senior Site Reliability Engineer, you will drive the development of a next-generation infrastructure provisioning and automation platform. This platform empowers engineering teams to self-serve cloud infrastructure, safely and efficiently, while reducing manual effort and operational risk.
 
 
 You will have a direct, hands-on impact by building and evolving systems that use automation and intelligent agents to generate, validate, test, and operate infrastructure at scale. We are looking for an engineer with a strong software development background, fluency in languages such as Go or Python, and deep experience designing and operating cloud platforms, who is motivated to improve developer velocity, reliability, and platform resilience.
 
 
 
 Work Location:
 
 
 
 This role is based out of our London office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 <ul>
 <li>
 Build robust, easy-to-use foundational platforms and tools that enable engineering teams to provision infrastructure rapidly, consistently, and securely across multiple cloud providers
 </li>
 <li>
 Write code in Go that is performant, maintainable, clear, and concise
 </li>
 <li>
 Championing and enforcing Infrastructure as Code (IaC) best practices and coding standards
 </li>
 <li>
 Employ strong problem-solving skills, with the ability to debug problems in cloud native distributed systems
 </li>
 <li>
 Influence and educate the engineering organization to adopt new and improved architectural patterns
 </li>
 <li>
 Provide robust documentation for use by engineers to promote self-service
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 
 <ul>
 <li>
 5+ years of experience in software engineering or site reliability
 </li>
 <li>
 Experience building and scaling complex and impactful software products in a team environment
 </li>
 <li>
 Deep skill in driving technical solutions across multiple teams
 </li>
 <li>
 Strong Experience with Terraform and CI/CD
 </li>
 <li>
 Strong experience managing infrastructure in the cloud (AWS or Azure)
 </li>
 <li>
 Experience using languages such as Go, Python, C#, Java, or similar.
 </li>
 <li>
 Experience designing tooling to simplify the operational management of SaaS/PaaS systems.
 </li>
 <li>
 Empathy to support the needs of software engineers.
 
 
 </li>
 </ul>
 
 Benefits That Benefit You
 
 
 
 
 <ul>
 <li>
 Competitive base salary and RSUs
 </li>
 <li>
 Comprehensive pension plan with matching contribution
 </li>
 <li>
 Private health insurance &amp; cash plans
 </li>
 <li>
 30 days paid holiday + UK public holidays
 </li>
 <li>
 Enhanced maternity/paternity leave
 </li>
 <li>
 GymPass subscription
 </li>
 <li>
 Life assurance &amp; income protection
 </li>
 <li>
 Career growth support and wellness resources
 
 
 </li>
 </ul>
 Don&rsquo;t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
 
 
 Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you&rsquo;re excited about this role and our mission to Protect Life but your experience doesn&rsquo;t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
 
 
 
 Important Notes
 
 
 
 
 The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
 
 
 
 
 Some roles may also require legal eligibility to work in a firearms environment.
 
 
 
 
 We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at
 
 axongreenhousesupport@axon.com
 
 or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
 
 
 
 
 Axon&rsquo;s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon&rsquo;s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.
 
 
 
 
 We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We&rsquo;re committed to hiring the best talent &mdash; regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances &mdash; and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
 
 
 
 Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not
 
 @axon.com
 
 , or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
</div>

Sr Site Reliability Engineer I

Youtube

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; London, UK.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.</li>
<li><div><div><div>8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).</div></div></div></li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience collaborating effectively across organizational boundaries, building relationships, and importing and exporting ideas to achieve broad organizational goals.</li>
<li>Experience leading technical strategy and influencing engineering direction across multiple teams.</li>
<li>Experience leading cross-organizational technical programs or initiatives at scale.</li>
<li>Experience with agentic systems and using AI to support production operations, including familiarity with LLM-based tooling, AI-driven automation, or intelligent incident response systems.</li>
<li>Ability to understand complex relationship between the organization and its environment, identify connections, adopt different perspectives and quickly respond to changing circumstances in a strategic way.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google's services&mdash;both our internally critical and our externally-visible systems&mdash;have reliability, uptime appropriate to users' needs and a fast rate of improvement. Additionally SRE&rsquo;s will keep an ever-watchful eye on our systems capacity and performance.<div>
Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you&rsquo;ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design.</div><div></div><div> 
SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow. 
 
To learn more: check out our books on Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.</div>

In this role, you will develop, design, and drive technical engineering projects and decisions for Apps, Video and Display (AViD) infrastructure and production systems. You will mentor and lead other executive level engineers within AViD SRE and across Ads to achieve our aligned mission.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Ensure that Google Ads services within the AViD ecosystem have reliability and uptime appropriate to users' needs with a fast rate of improvement, while keeping an ever-watchful eye on capacity and performance.</li>
<li>Build creative engineering solutions to operations and infrastructure problems, including AI-powered automation and agentic workflows for production operations.</li>
<li>Lead and contribute to the cross-SRE AI Ops program, driving the strategic adoption of AI/ML tools to improve incident response, reduce toil, and enhance service reliability across Ads SRE.</li>
<li>Focus on optimizing existing systems, build infrastructure, and eliminate work through automation and AI-driven operational improvements.</li>
<li>Determine how our systems relate to each other and use a breadth of tools and approaches &mdash; including emerging AI capabilities &mdash; to solve a broad spectrum of problems.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Staff Site Reliability Engineer, AViD, YouTube Ads

Capital on Tap

<div>
 
 We're Capital on Tap 👋
 
 
 
 💳 Capital on Tap started because small businesses were underserved. Big banks were slow, their products weren't fit for purpose, and small business owners often couldn't access what they needed. We set out to fix that.
 
 
 Today we're a financial platform - not just a credit card company. We offer a best-in-class business credit card, SME-focused spend management platform, a savings product that hit &pound;1 billion in funds within its first year, and a growing suite of tools and financial products that make running a small business easier.
 
 
 1,000+ employees, &pound;20bn in annual card spend, 200,000+ customers, 17,000+ Trustpilot reviews averaging 4.7 stars, and we're profitable. We've done a pretty good job so far, but we're just getting started!
 
 
 📍London, Old Street | 🏢 2 Days in Office
 
 
 
 SRE at Capital On Tap 🌞
 
 
 
 At Capital On Tap, we run a hybrid embedded SRE model. We aim to work closely with the teams within Capital On Tap to provide them the best support. Our main objective currently is to gain as much visibility into our platform's health while offering scalable solutions.
 
 
 You'll join our BAR (Banking and Repayments) Team, who are building and scaling payments and card systems, ensuring our financial platform is reliable, accessible, and seamless for users.
 
 
 
 What You'll be doing:
 
 
 
 As a Site Reliability Engineer (SRE) you will help ensure our platforms are fast, reliable, and scalable. You'll design, build, and monitor systems, prevent issues before they happen. Using SLAs, SLIs, and SLOs, you'll guide feature launches while maintaining services that everyone can depend on.
 
 
 <ul>
 <li>
 Manage and automate Azure, Datadog, NGINX &amp; Cloudflare
 </li>
 <li>
 Develop and monitor Kubernetes and Serverless resources
 </li>
 <li>
 Maintain infrastructure code with Terraform &amp; CRDs / Crossplane
 </li>
 <li>
 Improve systems, processes, and technologies; consult stakeholders to enhance platform performance
 </li>
 <li>
 Getting involved in new application architecture &amp; design processes
 </li>
 <li>
 Design solutions to reduce toil, automate repetitive tasks and streamline workflows to reduce manual work and boost team productivity.
 </li>
 <li>
 Create SLIs and SLOs; increase application visibility
 </li>
 <li>
 Align with the Product team on SLAs and core service objectives
 </li>
 <li>
 Collaborate with Platform Engineers for automated solutions and pipelines
 </li>
 <li>
 Enhance user experience with infrastructure and pipeline optimisation
 </li>
 <li>
 Support CI/CD tools such as Azure Devops, Octopus Deploy and Flux to streamline software delivery
 </li>
 <li>
 Lead incident troubleshooting to safeguard customer experience
 
 
 </li>
 </ul>
 
 We're Looking For 🔎
 
 
 
 Required skills:
 
 
 <ul>
 <li>
 Experience in managing a public cloud (Azure advantageous)
 </li>
 <li>
 Experience in Azure DevOps, Octopus, Flux or other CI/CD tools
 </li>
 <li>
 Experience with Linux and Microsoft Systems
 </li>
 <li>
 Excellent communication skills and ability to collaborate with multiple teams in an agile environment
 </li>
 <li>
 Proficient in contributing to IaC technologies involving expertise in writing, managing, and optimising infrastructure with tools such as Terraform and Pulumi
 </li>
 <li>
 Experience working with a cloud monitoring solution (advantageous to have DataDog)
 </li>
 <li>
 Experience with Kubernetes and Docke
 </li>
 <li>
 Experience in at least one scripting language (Python, PowerShell, Go)
 
 
 </li>
 </ul>
 
 Interview Process 🤝
 
 
 
 <ul>
 <li>
 First stage: 30-minute intro, CV review, and values with Talent Partner
 </li>
 <li>
 Second stage: 60 minute "Tech Chat" with Team Manager
 </li>
 <li>
 Final stage: 75-minute Technical Task + 30 minute Interview with Head of Platform Engineering
 
 
 </li>
 </ul>
 
 Diversity &amp; Inclusion
 
 🌈
 
 
 We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work.
 
 
 
 Great Work Deserves Great Perks
 
 
 
 We try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure. Check out our benefits:
 
 
 🏥 Private Healthcare including dental and opticians services through Vitality
 
 
 ✈️ Worldwide travel insurance through Vitality
 
 
 🎁 Anniversary Rewards (&pound;250, &pound;500, &pound;750, 4-week fully paid sabbatical)
 
 
 👛 Salary Sacrifice Pension Scheme up to 7% match
 
 
 🏖️ 28 days holiday (plus bank holidays)
 
 
 📖 Annual Learning and Wellbeing Budget
 
 
 👪 Enhanced Parental Leave
 
 
 🚲 Cycle to Work Scheme
 
 
 🚂 Season Ticket Loan
 
 
 💬 6 free therapy sessions per year
 
 
 🐶 Dog Friendly Offices
 
 
 🍫 Free drinks and snacks in our offices
 
 
 Check out more of our benefits, values and mission here.
 
 
 
 Other Info
 
 
 
 👍Check out our 'Top Tips' for interviewing.
 
 
 ✔️Keep updated on new job opportunities by following us on Linkedin.
 
 
 📧Email careers@capitalontap.com if you have any questions.
 
 
 
 Excited to work here? Apply!
 
 
 
 If you'd like to progress your career within our fast growing, profitable fintech then click apply and we will aim to get back to you within 3 working days (during busy periods this could take up to 5 working days.)
</div>

Site Reliability Engineer

Fuse Energy

<div>Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. 
 
We&rsquo;re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. 
 
But we&rsquo;re not stopping there. We&rsquo;re also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. 
 
Responsibilities<ul><li><ul><li><ul><li>
Own the reliability, performance, and scalability of Fuse's database infrastructure across Postgres and ClickHouse</li><li>
Build and maintain scalable, reliable data pipelines to support analytics, reporting, and product needs</li><li>
Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models</li><li>
Migrate and transform data from Postgres into ClickHouse, ensuring performance and reliability</li><li>
Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams</li><li>
Implement tests and data quality checks to ensure reliable and trustworthy datasets</li><li>
Identify and eliminate duplicates, improve data consistency, and enforce clean modelling standards</li><li>
Manage all database and infrastructure changes through IaC &mdash; minimise direct DB modifications</li></ul></li></ul></li></ul> 

Requirements 
<ul><li><ul><li>
3+ years of experience in a backend engineering or data-focused engineering role</li><li>
Writes the cleanest SQL you've ever seen &mdash; proficiency in Python and SQL is non-negotiable</li><li>
Hands-on experience with relational databases, particularly Postgres</li><li>
Experience designing schemas and building data models that reflect real-world business logic</li><li>
Familiarity with DBT or similar data transformation frameworks</li><li>
Strong understanding of data validation, testing, and quality assurance practices</li><li>
Manages all infrastructure through IaC tooling (Pulumi, AWS CDK) &mdash; treats the database as code, not a manual system</li><li>
Grasps new business domains quickly &mdash; able to translate unfamiliar logic into clean, intuitive data models without hand-holding</li></ul></li></ul>
Bonus<ul><li><ul><li>
Experience with ClickHouse or columnar databases</li><li>
Familiarity with cloud-based data orchestration tools (Dagster, Step Functions)</li><li>
CI/CD practices for data pipelines and transformations</li><li>
Experience operating databases at scale in a production environment</li></ul></li></ul> 

Benefits 
<ul><li>
Competitive salary and an equity sign-on bonus</li><li>
Biannual bonus scheme</li><li>
Fully expensed tech to match your needs</li><li>
Paid annual leave</li><li>
Breakfast and dinner allowance for office based employees</li></ul></div>

Database Reliability Engineer

Few&Far

<div>
 
 🚨
 
 Senior Data Engineer | Outside IR35 Contract | Up to &pound;525/day | London (1 day onsite)
 
 🚨
 
 
 
 
 
 I'm working with a growing business that's looking for a Senior Data Engineer to join on an initial 6-12 month contract.
 
 
 
 
 
 💰
 
 Up to &pound;525 per day
 
 
 
 📍
 
 London - 1 day per week onsite
 
 
 
 📄
 
 Outside IR35
 
 
 
 ⚡
 
 1-stage interview process
 
 
 
 
 
 
 This is a fantastic opportunity to play a key role in modernising a cloud-based data platform while helping to future-proof the company's infrastructure and mentoring junior engineers as they continue to develop.
 
 
 
 
 
 You'll be working on:
 
 
 ✅ Modernising data lake &amp; data warehouse architecture
 
 
 ✅ Designing, building and optimising ETL/ELT pipelines
 
 
 ✅ Deploying and supporting production ML systems, including forecasting models, LLM-powered and agentic workflows
 
 
 ✅ Enhancing an AWS-native data platform (S3, Redshift, RDS, Athena, SageMaker &amp; Lambda)
 
 
 ✅ Writing high-performance SQL and production-quality Python
 
 
 ✅ Improving platform reliability, monitoring and CI/CD
 
 
 ✅ Collaborating with stakeholders to deliver scalable data solutions
 
 
 ✅ Mentoring junior engineers through code reviews and best practices
 
 
 
 
 
 
 Tech Stack:
 
 
 
 ☁️ AWS
 
 
 🐍 Python
 
 
 🗄️ SQL
 
 
 🔄 Airflow (AWS)
 
 
 📊 Looker (nice to have)
 
 
 
 
 
 I'm keen to speak with Data Engineers who have:
 
 
 ✔️ Strong experience building production-grade data pipelines
 
 
 ✔️ Advanced SQL and Python skills
 
 
 ✔️ Experience deploying and supporting ML models in production
 
 
 ✔️ AWS cloud experience and a solid understanding of DevOps/platform engineering
 
 
 
 
 
 If you're available soon or know someone who could be a great fit, please apply below or share this job post!
 
</div>

Senior Data Engineer

C-Serv

<div>Most engineers get to use large language models. You will get to build the systems that run them in production, at scale, under real latency and reliability constraints, for one of the most recognised names in application security and traffic management.
Our client is expanding its AI Core group and is looking for a Senior or Staff AI &amp; ML Engineer in the UK. This is hands-on, build-focused work at the centre of how the business turns generative AI from a prototype into a dependable product. You will design and ship multi-agent systems, retrieval-augmented generation pipelines, anomaly detection, fine-tuned models, and the real-time inference layer that serves them.
If you want ownership over a serving stack rather than a single notebook, and you want your work measured by what holds up in production rather than what demos well, this is the seat.
What you will own<ul><li>Building and shipping generative AI features end to end: from model selection and fine-tuning through to the inference path that serves them.</li><li>Designing multi-agent and RAG architectures, and anomaly detection, that are accurate, observable, and cost-aware at scale.</li><li>Owning the real-time inference layer on Triton and TensorRT, optimising for latency, throughput, and GPU efficiency.</li><li>Standing up the surrounding microservices in Python and FastAPI, containerised and orchestrated for reliability.</li><li>Setting the technical bar: making architecture decisions, raising code quality, and mentoring engineers around you.</li><li>Partnering with research and product teams to take ideas from experiment to a service customers depend on.</li></ul> 
Requirements<ul><li> 
5 to 10 years of relevant experience, including a proven track record as a technical lead who mentors others.</li><li>Strong, current Python engineering, with production services built and shipped (FastAPI or similar).</li><li>Genuine hands-on GenAI depth: LLMs, RAG, agentic or multi-agent workflows, anomaly detection, and fine-tuning (for example LoRA or PEFT).</li><li>Real-time inference experience with NVIDIA Triton and TensorRT, with real attention to latency, throughput, and cost.</li><li>A microservices mindset, with services built in Python and FastAPI, containerised and orchestrated for reliability.</li><li>Solid grounding in Docker and Kubernetes, and large-scale distributed systems on a major cloud.</li><li>Right to work in the UK. We welcome applications from all backgrounds and are committed to equal opportunity.</li></ul>
Nice to have<ul><li>Experience with vLLM or other serving frameworks alongside Triton and TensorRT.</li><li>Experience in security, networking, or other high-reliability domains.</li><li>Big-data tooling (Spark, Databricks, Snowflake) and modern MLOps practice.</li></ul>
What you will get<ul><li>A genuine build mandate inside an established AI Core team, not a proof-of-concept that never ships.</li><li>Fully remote working anywhere in the UK, built around delivery rather than presence.</li><li>Competitive salary, strong benefits, and clear scope to grow into staff and principal-level influence.</li><li>The backing of C-Serv throughout: a delivery partner that runs a real quality filter and looks after its people, end to end.</li></ul> 
Benefits<ul><li> 
Fully remote working anywhere in the UK, built around delivery rather than presence.</li><li>A clear path to grow into staff and principal-level technical influence.</li><li>Full support from C-Serv across the hiring process and beyond, with full-cycle accountability.</li><li>A values-led, woman-owned delivery partner built on empathy, integrity, collaboration, and growth.</li></ul></div>

AI/ML Engineer

Worldpay

<div>Ready to take your career global?
Make your mark at one of the biggest names in payments.
We are seeking an experienced Senior ML Software Engineer to join our Data Science Enablement team. You will be the primary software engineering expert for a product area, working as part of a cross-functional agile team and owning the successful launches and ongoing operations of high-profile products in production. Your focus will be on driving new feature delivery, maintaining operational excellence, and collaborating on enhancements to our shared ML platform. You will work closely with cross-functional collaborators&mdash;including ML research engineers, product managers, and platform engineers&mdash;to deliver scalable, reliable, and low-latency ML solutions.
In addition to technical expertise, this job requires strong collaboration skills.
What you&rsquo;ll own
Feature Development &amp; Delivery:<ul><li>
Design, implement, and deploy new features and enhancements to ML products, collaborating with Product and ML Research teams to refine requirements.</li></ul>
Technical Ownership and Stewardship:<ul><li>
Technical ownership of existing and new production ML products in your area, ensuring alignment of technical investments with business goals (in collaboration with a product owner) and engineering best practices.</li><li>
End-to-end technical stewardship of ML products, ensuring ongoing reliability and performance.</li></ul>
Contribute to ML platform:<ul><li>
Contribute to the evolution of the shared ML platform alongside other engineers to drive best practices and shared tooling across all products.</li></ul>
Operational Excellence:<ul><li>
Maintain and improve automated CI/CD pipelines, testing frameworks, and monitoring/logging, ensuring high operational standards.</li><li>
Conduct comprehensive code reviews to enforce coding standards, improve code quality, and share knowledge.</li></ul>
Continuous Improvement:<ul><li>
Identify and implement opportunities for process, tooling, and system improvements, proactively addressing technical debt and scaling challenges.</li></ul>
Release Management:<ul><li>
Oversee pre-release testing, coordinate releases and ensure smooth enablement of new features.</li></ul>
Leadership:<ul><li>
Provide technical guidance and support to other engineers and data scientists to solve complex technical challenges.</li><li>
Mentor and coach other engineers, supporting their professional growth.</li><li>
Foster a culture of collaboration, continuous improvement, and knowledge sharing.</li></ul>
Act Like an Owner:<ul><li>
Proactively identify and resolve blockers, navigate processes, and independently seek out information and connect with relevant teams to drive solutions in the face of ambiguity.</li><li>
Operate with a strong sense of urgency, consistently prioritizing and executing tasks to meet timelines and deliver results.</li></ul>
What you&rsquo;ll bring<ul><li>
5+ years as an ML-focused software engineer, ML Engineer, MLOps Engineer, or similar, with hands-on production experience</li><li>
Proven expertise with ML model deployment, API design, and integration into production environments</li><li>
Strong Python programming and relevant ML/data libraries</li><li>
Experience with containerization, orchestration, and AWS cloud services</li><li>
Building and operating CI/CD pipelines</li><li>
Monitoring, troubleshooting, and optimizing production ML systems</li><li>
Pre-release testing and release management</li><li>
Demonstrated ability to work independently, navigate ambiguity, and deliver results</li><li>
Excellent communication skills and ability to collaborate both within engineering organizations and on cross-functional teams</li><li>
Experience with OpenAPI, FastAPI, or similar</li></ul>
It&rsquo;s a bonus if you have<ul><li>
Experience with MLFlow, model versioning, and storage</li><li>
Familiarity with Databricks or similar platforms</li><li>
Experience supporting high-volume, real-time data products</li><li>
Automated testing and validation frameworks</li><li>
Experience designing and configuring low-latency databases to serve real-time features, such as DynamoDB</li><li>
Experience with Terraform Cloud</li><li>
Experience in large companies, mature engineering teams, and/or highly regulated industries</li><li>
AI-assisted coding experience (e.g. GitHub Copilot)</li></ul>
Why Join Us?<ul><li>
Impact: Play a key role as the technical owner of high-profile ML products delivering meaningful business impact to merchants and advancing key pillars of the company&rsquo;s strategy. Your work will directly influence the reliability, scalability, and evolution of critical production systems.</li><li>
Autonomy: Take end-to-end technical ownership of your product area, with the freedom and responsibility to drive technical solutions, shape best practices, and deliver results in a fast-paced, supportive environment.</li><li>
Collaboration: Join a cross-functional, high-performing team where your expertise is valued and your contributions make a real difference.</li></ul>
About the team
Our inclusive and global teams win together every day. We&rsquo;re proud to have the best minds in the industry, whom you can learn from as you grow your career. The people, the energy, and the connections are unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that transcend borders.
What makes a Globalpayer?
Globalpayers think like a client, act like an owner, and win as one team. We&rsquo;re curious and innovative &ndash; always finding better ways to deliver impact. We empower each other to make decisions, and our passion drives excellence in everything we set out to do.
Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.
#LI-AB1</div>

Senior ML Software Engineer

Explore 307+ Senior reliability engineer in London this July. Find roles across top companies and apply now to boost your career.