Senior Machine Learning Engineer

ECOM
Newcastle upon Tyne
3 days ago
Create job alert

ECOM are partnered with an exciting software development company based in Manchester who are looking for a Senior Machine Learning Engineer.


You will join an innovative technology company at the forefront of machine learning and artificial intelligence solutions. As a Senior Machine Learning Engineer, you'll be part of a dynamic team dedicated to pushing the boundaries of AI technology and creating impactful solutions.


Role Overview:

Seeking a talented Senior Machine Learning Engineer to lead the development and implementation of advanced machine learning models and algorithms. As a key member of our team, you will work on challenging projects, leveraging your expertise in machine learning to drive innovation and solve complex problems.


Responsibilities:


- Design, develop, and deploy machine learning models and algorithms to address business challenges and opportunities.

- Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning solutions into our products and services.

- Lead the end-to-end machine learning lifecycle, from data collection and pre-processing to model training, evaluation, and deployment.

- Research and experiment with state-of-the-art machine learning techniques and methodologies to improve model performance and scalability.

- Optimise machine learning pipelines for efficiency, scalability, and reliability, considering both computational and operational constraints.


Requirements:


- Bachelor's or master’s degree in computer science, Engineering, Mathematics, or related field.

- Proven experience (5+ years) in developing and deploying machine learning models and algorithms in real-world applications.

- Strong proficiency in Python programming and popular machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

- Deep understanding of machine learning concepts and techniques, including supervised/unsupervised learning, deep learning, reinforcement learning, etc.

- Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.


Operating with a hybrid business model, you'll be required to come into the Manchester office 2 days per week to collaborate with fellow colleagues.


For your hard work you'll receive a very competitive salary of up to £80,000 per year, equity, private health insurance and much more.


If you're interested in finding out more information, please apply through the link below and I'll contact you ASAP.


*Please note, sponsorship is not available for this role*

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

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.

How to Advertise AI Jobs and List AI Vacancies: Advanced Recruitment Strategies for 2025

In a landscape where artificial intelligence (AI) is rapidly transforming industries—from healthcare and finance to manufacturing and creative fields—employers are in stiff competition to secure the best AI talent. Whether you’re a start-up looking for your first machine learning engineer or a global enterprise planning an AI research lab, knowing how to advertise AI jobs effectively has never been more critical. Below, you’ll find in-depth strategies for crafting compelling AI job adverts, optimising your recruitment funnel, and showcasing your organisation as an employer of choice for top AI specialists. We’ll also explore the importance of salary transparency, the best channels for promoting your AI vacancies, and advanced techniques for nurturing a culture of innovation.

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.