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

Nominate & Attend

Senior Software Engineer

Vantage Talent Solutions
London
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer – API & ML Infrastructure

Senior Software Developer

Senior Machine Learning Engineer

Senior Data Engineer

Software Engineer III - Data Engineer - Python, SQL - Senior Associate

Senior Data Engineer

Senior Software EngineerLondon (3 days remote)Are you an experienced back-end Node.js Developer?Are you looking for a career which will give you autonomy along with the tools to succeed?Come and join this booming start-up as they expand and continue to take a multi-billion pound industry by storm with their one of a kind, cutting-edge product.Not only will you get autonomy and play a pivotal role in their success, but you will also benefit from: * Flexible work schedule & hybrid 1-2 days a week in the office * Fast decision-making processes * Supportive team culture with strong mentorship. * Flat organizational structure. * Opportunities for professional and career growth. * Performance bonus * Access to professional seminars and training of your choice.What will you do? * Develop and integrate new applications and features. * Enhance the stability and performance of existing software. * Collaborate with fellow engineers to research and implement new technologies and design patterns. * Ensure the best possible experience for users.Who will you be?Ideally you'll have at least 5+ years of recent experience as a back-end developer working with Node.js. You will also have solid experience using PostgreSQL as the main data source.Bonus points: * Experience with TypeScript. * Knowledge of big data and/or machine learning pipelines. * Experience with cloud hosting services such as AWS or Google Cloud. * Familiarity with Kubernetes and Kafka.If you would like to hear more, please hit APPLY NOW and I'll be in touch for a confidential conversation

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.

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.