National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Site Reliability Engineer

aPriori
Belfast
8 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Location: Belfast, NI, UK (Hybrid, in office 1 -3 days per week) Job Summary: Join us as a Senior Site Reliability Engineer (SRE), where you'll play a pivotal role in working with our customers and developers by providing expert guidance on cloud infrastructure best practices and streamlining build and deployment processes at scale. Your primary focus will be on designing, developing, and administering our cloud environments to ensure reliability and user-friendly experiences as we transition to platform engineering. As a senior member of our SRE team, you'll cultivate a culture of continuous improvement and elevate developer experiences through the adoption of cutting-edge tools. Bring your technical prowess to mentor fellow team members, shape patterns, and establish best practices for managing infrastructure and deploying applications as code across diverse architectures. Responsibilities: Collaborate closely with support and software development teams to enhance velocity and ensure the quality of customer applications and services in our cloud environments. Solve complex problems through creativity and collaboration identifying best solutions for our platform. Define, promote, and uphold SRE best practices across our product portfolio. Work alongside Architects and product development teams to build reliable services. Lead automation initiatives, focusing on deployment, management, and observability of our services. Provide guidance and expertise on infrastructure usage to developers and other internal stakeholders. Contribute to engineering planning sessions, ensuring adherence to cloud architecture best practices. Define patterns and best practices for using IaC tools such as Terraform and Packer. Participate in on-call rotation and incident management procedures. Required Skills/Abilities: Strong scripting skills, preferably in Python and shell scripting. Ability to analyze emerging technologies and trends to guide technical decision-making for the team. Proven ability to learn, mentor, and work well in a team environment. Inquisitive and driven mindset, with a passion for solving complex problems. Education and Experience: Bachelors degree in computer science or a related discipline or 5-7 years of relevant professional experience. Proficiency in AWS (preferred) or GCP with 3 years of experience using Terraform. Experience in container orchestration, with 2+ years of proficiency in Kubernetes using Helm, and familiarity with Docker, ECS, and EKS. 2+ years of experience delivering software to the cloud with a full understanding of SDLC using CI/CD tools such as Jenkins. Familiarity with service mesh technologies such as Linkerd or Istio is a plus. Experience of continuous deployment workflows with containers such as Flux or ArgoCD is a plus. Relevant certifications in cloud platforms, infrastructure as code, and container orchestration is a plus. Familiarity with modern authentication and authorization solutions is a plus. Exposure to tooling and principles in platform engineering and GitOps is a plus. aPriori Offers: Hybrid working (1-3 days per week in our brand new Belfast office) Generous Pension Private medical, dental and vision Cycle to work scheme Flexible time off Enhanced holidays, plus 4 aPriori days per year when all of our team are given a day off Engagement and social activities, including summer and Christmas events Income protection Employee Assistance program Competitive compensation Interested in joining our team as a Data Engineer Lead? We continue to build an organization highly talented, self-motivated individuals. Our unique environment empowers employees to bring their best selves each day, asking, How can I do better? and then exceeding expectations. We work together towards a common goal. We nurture and celebrate each others successes. aPriori is an equal opportunities employer. We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone. All candidates will be required to demonstrate right to work in UK UK candidates- GDPR Notice: Skills: Scripting skills python Degree in Computer Science leadership skills

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.