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

Nominate & Attend

Software Engineering

Nexaphaze Ltd
London
7 months ago
Applications closed

Related Jobs

View all jobs

Software Manager

Software Engineering Manager - Machine Learning- Systematic Quant Fund

Software Engineering Manager – Machine Learning

Senior Software/Data Engineering Lead (Basé à London)

Senior Software/Data Engineering Lead

Senior Software/Data Engineering Lead (Basé à London)

Are you a seasoned Software Engineer eager to collaborate with a team of top-tier innovators, tackling diverse products across various industries?Are you a seasoned Data Engineer seeking to advance your career with a team of highly-skilled, innovative professionals working on multiple products across various industries?If so, Nexaphaze could be the perfect fit for you.We’re looking for an experienced Data Engineer to join our team of innovators, working on cutting-edge products spanning a range of industries. You’ll have the chance to collaborate with entrepreneurs and business leaders, helping them bring disruptive products to life, from early-stage MVPs to game-changing satellite products.You’ll also get the opportunity to work with leading entrepreneurs and executives.At Nexaphaze, you won’t be working in isolation on these cutting-edge technologies. You’ll be part of a cross-functional team of seasoned professionals with expertise across industries like fintech, AI, IoT, and more.What You’ll Be Doing: As a Data Engineer, your responsibilities will include:Designing, programming, constructing, and maintaining databases, and modifying existing ones for platform updates and evolving user needs.Deploying managed and self-hosted database clusters for various startup projects, utilizing a wide range of database technologies (NoSQL, SQL, KV).Running pressure and scalability tests on database clusters, implementing sharding, horizontal and vertical scaling strategies.Refining and improving the performance of slow queries.The Hands-On Experience You’ll Need: 2+ years of experience working with database systems.Familiarity with database offerings from major cloud vendors like GCP, AWS, and Azure.Experience with sharding techniques, including selecting appropriate sharding keys.Proficiency in using ORM/ODM for popular databases (e.g., Redis, MongoDB, PostgreSQL) in Node.js.Strong written and spoken English skills.Bonus Experience: Familiarity with Linux environments, Docker, and Kubernetes orchestration.Experience in cost reduction techniques for cloud-based managed databases.Experience working with data lakes.Proficiency in scripting languages like Bash, Python, or Go.Experience with configuration management tools such as Terraform or AWS CloudFormation.Familiarity with ELK stacks.Design : FigmaAPIs : REST, GraphQLBack-End : Node.js, Express.jsCI/CD : CircleCI, GitHub ActionsTesting : Cypress, Jest, KarmaWhat You Can Expect from Our Recruitment Process: We’ll start by reviewing your CV.Then, you’ll have a one-hour interview with our recruitment team to get to know you better.A one-and-a-half-hour technical interview will follow to assess your skills and experience.Finally, a one-hour interview to ensure we’re a mutual fit.If you’re the right candidate, we’ll provide you with the next steps on how to join the Nexaphaze team.What You Can Expect from Working with Us: Competitive salary aligned with your experience.Health insurance for you and your family.You’ll need to be eligible to work in London.Flexible working hours and a remote-first policy, though we encourage you to join us at our pet-friendly office in London.Team events , including weekly yoga sessions, summer surf days, Christmas dinners, and more.Career Growth with Nexaphaze: A detailed career plan with strong growth potential.Training budget to help you reach your career goals.The chance to work on global projects with industry-leading clients.A team of top talent innovators and researchers by your side.If reading this has sparked your excitement about Nexaphaze, we’re equally excited to hear from you! Apply now.Software Engineering Are you a seasoned Software Engineer eager to collaborate with a team of top-tier innovators, tackling diverse products across various industries?Why would you like to join Nexaphaze?First NameLast NameAs a UK-based digital expert, we partner with innovative startups, B2B trailblazers, and fintech disruptors to craft bespoke online experiences that drive real results. We deliver high-performing websites that elevate your brand and accelerate your growth.+44 7359 497513hello@nexaphaze.com80– 90, Paul Street, London EC2A 4NE#J-18808-Ljbffr

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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.