(Only 24h Left) Machine Learning Engineer ...

Bright Purple
Reading
3 days ago
Create job alert

Machine Learning Engineer Remote with Travel Are youan experienced Machine Learning Engineer looking to work oncutting-edge cloud projects for prestigious clients? Thisorganization has experienced continual strong growth since itsfounding. This exciting role involves designing, building, anddelivering complex new solutions within a new function focused onAI and ML. Benefits Along with a highly competitive salary, you'llenjoy a comprehensive benefits package and work for anemployee-centric organization that values the well-being of itsemployees, both personally and professionally. - Generous holidayallowance - Flexible working options - Excellent Healthcare andPension Scheme - Opportunities for career development andprogression with support - Performance Bonus About the role As amid-to-senior level Machine Learning Engineer, you will create MLmodels for deployment in the cloud and support Data Engineering,DataOps, and DevOps teams. You will work with the latest technologyon highly visible, large-scale projects. What you’ll bring to therole - Strong grounding in ML approaches, techniques, andframeworks - Proficiency in Python, Pandas, TensorFlow,Scikit-learn, Numpy, SciPy - Experience deploying models to thecloud and working with Azure (Azure DevOps, Azure ML, Azure SQL,ADF, etc.) - Ability to work with databases such as SQL Server,NoSQL, etc. - Experience with ETL processes, data pipelines, andDevOps practices This role is hybrid, requiring occasional presencein one of their UK offices in Scotland or England to maintaincompany culture through social meetups. You will also traveloccasionally to visit clients. Please apply today for immediateconsideration. Bright Purple is an equal opportunities employer: weare proud to work with clients who share our values of diversityand inclusion in our industry. #J-18808-Ljbffr

Related Jobs

View all jobs

Platform Software Engineer

Data Engineer

AI Trainer

Graduate AI Engineer

Senior Project Engineer

Network Analyst

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

AI Training Jobs: Your Comprehensive Guide to Launching a High-Potential Career

Artificial Intelligence (AI) has evolved from a futuristic concept to a core component of modern business strategy. As organisations increasingly embrace AI-driven systems to stay competitive, the demand for qualified professionals who can develop, implement, and train AI models has skyrocketed. In the UK—and indeed worldwide—there is a pressing need for skilled experts who understand the nuances of AI, from algorithm design to ethical considerations. For anyone seeking to enter this exciting field or pivot into a role focusing on AI training, the opportunities are abundant. This in-depth blog post will explore everything you need to know about AI training jobs, the essential skills you’ll need, the current employment landscape in the UK, and how to future-proof your career in AI.

Rural-Remote AI Jobs: A Breath of Fresh Air in the UK Tech Scene

A New Horizon for AI Professionals For years, conversations around tech careers in the UK have hinged on a central theme: to succeed in artificial intelligence (AI), you must be in or around London (or other big metropolitan areas like Manchester, Bristol, or Edinburgh). But times are changing. Technological leaps and the rise of flexible working are paving the way for AI professionals to live and work well beyond the capital. From the rugged coastlines of Cornwall and Pembrokeshire to the rolling hills of the Yorkshire Dales, we’re witnessing an exciting trend of AI remote countryside roles that allow you to work at the forefront of tech innovation—all while enjoying the tranquillity of rural or seaside living. At ArtificialIntelligenceJobs.co.uk, we’re seeing a marked increase in job postings and applications for these sorts of positions. A growing segment of job seekers is actively searching for “tech jobs by the sea” or “AI remote countryside,” driven by a desire for better work-life balance, lower living costs, and a healthier lifestyle. And it’s not just employees who stand to benefit; employers eager to attract top-tier AI talent are discovering that offering remote or flexible roles widens their candidate pool and enhances diversity. If you’re enticed by the idea of logging off from a day of coding neural networks and taking a stroll along a coastal path—or stepping outside your converted barn in Northumberland to soak in some fresh country air—this article is for you. Below, we’ll explore the benefits and challenges of rural-remote AI jobs, the specific roles best suited for remote work, and how to position yourself for success in this rapidly evolving sector.

When Qubits Fuel Neural Networks: The Emerging Frontier of Quantum-Enhanced AI

Artificial Intelligence (AI) has soared to unimaginable heights over the last few years, revolutionising sectors ranging from healthcare and finance to logistics and entertainment. But while deep learning models have grown more sophisticated and powerful, they remain tied to the limitations of classical computing systems. Enter quantum computing, a burgeoning field that leverages qubits—quantum bits—to achieve processing speeds that could leave even today’s most advanced supercomputers in the dust. What if we combined these two forces? Quantum-enhanced AI aims to integrate quantum hardware and algorithms into AI workflows, potentially unlocking efficiencies and capabilities that are currently out of reach. Although this domain is still in its infancy, experts predict it could reshape entire industries in the not-so-distant future. For professionals in AI, this is more than just an interesting development; it’s a pivotal shift that could spawn new roles, research areas, and opportunities. In this thought-leadership piece, we will: Outline the basics of quantum computing and why it matters to AI. Examine how quantum resources might supercharge neural networks. Highlight the career paths at the intersection of quantum and machine learning. Discuss the long-term outlook and what it means for AI professionals looking to stay ahead. Whether you’re already immersed in AI or just beginning to explore its potential, strap in—this new frontier promises a radical transformation.