ML / AI Engineer - Python - £60,000 - Remote

Tenth Revolution Group
Manchester
9 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Contract

Data Scientist - Contract

Global AI Transformation Lead - Clinical AI & Data Architect

Data Engineer - AI Practice Team

Data Engineer - AI Practice Team

Senior Lead Analyst - Data Science_ AI/ML & Gen AI - UK

ML / AI Engineer - £60,000 - RemoteCompany Overview:Our client is a Microsoft-partnered consultancy that excels in delivering exceptional data and AI solutions to a diverse array of clients. Their expertise includes advanced data analytics, artificial intelligence, and custom finance solutions, ensuring tailored support for each unique business need. Recognising the importance of work-life balance, the company fosters a culture that values employee well-being, significantly boosting morale and productivity. Consequently, the role is designed to be almost entirely remote, offering flexibility and a supportive work environment.Client has large plans to massively grow out their Data & AI team, and with VC backing the sky is the limit!Role Overview:The client is looking for a talented Data / ML engineer to come in as a consultant to work on a large variety of projects across multiple industries. The role will utilise all the latest AI tech including Gen-AI, ML and Open AI.As a consultant you will be working directly with clients to understand business needs and implement industry best AI solutions accordingly.Requirements:Strong Python experience, particularly for AI/ML useExperience with cloud technology, Azure preferredData Science, Machine Learning and AI tech experienceBenefits:10% BonusRemote Working25 Days Annual Leave + Bank HolidaysAnnual Salary Review+ Much more This is an unmissable chance to hone your skills and grow your career working for a top Microsoft partner, interviews are already underway so don't miss your chance. Apply Now!Contact - (url removed) // (phone number removed)ML, Machine Learning, AI, Artificial Intelligence, Data Science, Azure, ADF, Data Engineer, Azure Data Factory, Data Consultant, Consultancy, Microsoft, API, D365, Data Architect, Pre-Sales, Consultant

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.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Careers Jobs

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.