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

Nominate & Attend

Senior Backend Engineer

Simple Machines
London
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Backend Software Engineer

Senior Software Engineer - Machine Learning

Senior Python Data Science Engineer

Machine Learning Engineer, London

Senior Software Engineer – API & ML Infrastructure

Senior Machine Learning Engineer

Simple Machines is a leading independent boutique technology firm with a global presence, including teams in London, Sydney, San Francisco, and New Zealand. We specialise in creating technology solutions at the intersection of data, AI, machine learning, data engineering, and software engineering. Our mission is to help enterprises, technology companies, and governments better connect with and understand their organisations, their people, their customers, and citizens. We are a team of creative engineers and technologists dedicated to unleashing the potential of data in new and impactful ways. We design and build bespoke data platforms and unique software products, create and deploy intelligent systems, and bring engineering expertise to life by transforming data into actionable insights and tangible outcomes. We engineer data to life™. 

The Role:

As aSenior Backend EngineeratSimple Machines, you’ll be at the heart of groundbreaking projects, collaborating closely with both our talented internal team and forward-thinking clients. In this hands-on role, you'll drive the development of sophisticated, scalable solutions across the full technology stack—from intuitive frontends and robust backends to powerful data pipelines and resilient infrastructure. If you’re passionate about solving complex problems and pushing the boundaries of what’s possible, this role offers the perfect platform for you to make a real impact.

Technical Responsibilities:

  • Responsible for design and technical development of backend services for a highly scalable marketing platform.
  • Responsible for designing the APIs, applications, and infrastructure the team develops, and documenting the technical requirements and design for the client.
  • Responsible for end-to-end delivery and support, including build, automation, deployment, and operations, for everything that is developed.
  • Partner with client stakeholders, and team members, to gather business requirements, collaborate on design decisions, and translate them into technical and design requirements.
  • Operate within an iterative delivery team using Agile delivery tools and practices.
  • Hybrid remote and in-person collaboration with the delivery team and client stakeholders.

Consulting Responsibilities:

 

  • Client Advisory:Provide expert advice to clients on optimal data practices that align with their business requirements and project goals. 
  • Training and Empowerment:Educate client teams on the latest technologies and strategies, enabling them to efficiently utilize and maintain the solutions we have developed. 
  • Professional Development:Keep up with the latest industry trends and technological advancements, continually upgrading skills and achieving certifications in the technologies Simple Machines implements across its client base. 

About the team:

This is an opportunity to join a high-performing engineering team working on an exciting project building a large-scale machine learning platform for a global telecommunications company.

Each team member has varying degrees of strength in each area, but all work together across the full stack and assist one another to learn and contribute.

The engineering team enjoys a high degree of autonomy over technical design and actively engages with stakeholders to design solutions. They also actively engage with data scientists and other teams to design and document cross-system solutions.

Requirements

What we are looking for:

  • A consultative approach to software development.
  • Core foundation in programming, especially in JVM languages (particularly Kotlin or Java).
  • Experience designing and implementing data-driven APIs.
  • Exposure to frontend development (particularly React.js, Tailwind, REDUX, Typescript)
  • Past project experience with large scale webservices.
  • Cloud infrastructure experience with AWS and/or Google Cloud, Azure, etc.
  • Infrastructure-as-code experience, such as with Terraform or Cloud Formation.
  • In-depth experience with unit and integration testing, and test automation generally. Ideally TAA and/or BDD
  • Experience working with SQL databases in the context of implementing data-driven APIs, and designing database schemas and queries to meet business requirements.
  • A passion and proven background in picking up and adopting new technologies on the fly.
  • Exposure to Scala, or functional programming generally.
  • Exposure with highly concurrent, asynchronous backend technologies, such as Ktor, http4k, http4s, Play, RxJava, etc.
  • Exposure with DynamoDB or similar NoSQL databases, such as Cassandra, HBase, BigTable, or Cosmos DB.
  • Exposure with Git workflows, and the ability to tailor the workflow to project needs.
  • Exposure with containerised application deployment using Docker, Amazon ECS, Kubernetes, etc.

Benefits

What We Offer in the UK: 

  

  • Salary: Competitive salary and benefits package. 
  • Pension: Up to 5% employer contribution, matching up to a 5% employee contribution, for a total of up to 10%. 
  • Annual Leave: 4 weeks standard + 1 week additional annual leave over Christmas shut down period, plus public holidays. 
  • Your Day - No Questions Asked: One additional day off per year, no explanation required! 
  • Regular Lunches: Provided at team meet-ups and on workdays at Simple Machines' co-working space. 
  • Health and Wellbeing Allowance: £1,250 allowance per year to be used for any food and non-alcoholic beverages during business hours, healthcare, gym memberships, sporting goods and accessories, and any wellness appointments. 
  • Professional Development: £1,500 annual budget for training, courses, and conferences, with potential for additional funding. 
  • Certifications: £2,500 annual budget for certifications and related courses. 
  • Equipment Allowance: £1,500 for UK team members, plus Apple MacBook Pro laptops and necessary accessories. 
  • Company Sick Leave: 10 days per annum, includes coverage for employee’s family. 
  • Antenatal Support: Paid time off for antenatal appointments, including classes recommended by health professionals. 
  • Terminal Illness Benefit: Three months' continuance of salary at full pay. 
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 Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.