AI Consultant

Portsmouth
1 month ago
Applications closed

Related Jobs

View all jobs

AI Consultant - Remote

AI Consultant - Remote

AI Consultant - Remote

AI Consultant - Remote

AI Consultant - Remote

AI Consultant - Remote

AI Consultant

I am working with a Microsoft Partnered consultancy who are looking for an AI Consultant to join their growing team. You will have the opportunity to work on a variety of client projects across a number of different industries such as retail, finance and the public sector.

In this position, you will join a growing Data & AI practice and will work directly with clients to understand their challenges. You will then use your experience to advise solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics.

The client is committed to becoming leaders in their industry within the UK and renowned for offering fantastic opportunities to move up the ranks of the business. Every colleague within the team has their own personalised development plan, with clear goals set and promotions earned through merit!

As part of this role, you will be responsible for -

Build relationships with clients and take the lead on delivering AI solutions to benefit the business
Design and develop AI algorithms and models
Provide training to clients on the best practices of working with AI tools
Implement AI models into client environments and monitor on-going performance, making changes where necessary
Be technical expert on projects for all AI technologies including ML and NLPTo be successful in this role you will have.

Commercial experience working in AI/ML
Strong programming skills with Python and other languages such as R or Java
Strong cloud experience in an Azure environment (AWS or GCP also beneficial)
Experience with Gen AI would be beneficialThis is a home-based role, however travel to client sites is required on an ad-hoc basis. You will also travel to company get togethers once per quarter, with travel to these events expensed. Some of the benefits included in this role are -

Salary up to £60,000 depending on experience
Performance related bonus scheme of up to 10%
25 days annual leave plus bank holidays
Company pension scheme; 5% matched contribution
Healthcare benefits such as private healthcareThis is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP, so don't miss out, APPLY now!

Tenth Revolution Group are the go-to recruiter for Power BI and Azure Data Platform roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. We are the global leaders in Microsoft recruitment

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.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!