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Machine Learning Engineer (Databricks)

Machine Learning Engineer (Databricks) - £60 - £70k Edinburgh Hybrid - 2 days onsite I’m on the lookout for an MLOps Engineer who can truly bridge the gap between Data Engineering and Data Science. This role is all about leveraging Databricks and Python to design, build, and scale data models that drive genuine business impact. You’ll be joining a scaling...

Bright Purple
Roxburgh's Court

Machine Learning Engineer - London

Machine Learning Engineer Join the analytics team as a Machine Learning Engineer in the insurance industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward-thinking environment. Client Details Machine Learning Engineer This opportunity is with a medium-sized organisation in the insurance industry. The...

Michael Page
City of London

Machine Learning Apprentice (Remote)

Job Title: Data Entry Executive (Remote) Employment Type: Remote (Part-Time/Contract) Location: Remote within one of the following countries: United States, United Kingdom, Canada, Ireland, Australia, or New Zealand. Compensation: Estimated range: USD 5,000–8,000 per month, depending on location, experience, scope of responsibilities, and performance expectations for a full-time schedule. About the Role This role supports day-to-day operational, content, research, data,...

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Manchester

Machine Learning Apprentice (Remote)

Job Title: Data Entry Executive (Remote) Employment Type: Remote (Part-Time/Contract) Location: Remote within one of the following countries: United States, United Kingdom, Canada, Ireland, Australia, or New Zealand. Compensation: Estimated range: USD 5,000–8,000 per month, depending on location, experience, scope of responsibilities, and performance expectations for a full-time schedule. About the Role This role supports day-to-day operational, content, research, data,...

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Bristol

Machine Learning Apprentice (Remote)

Job Title: Data Entry Executive (Remote) Employment Type: Remote (Part-Time/Contract) Location: Remote within one of the following countries: United States, United Kingdom, Canada, Ireland, Australia, or New Zealand. Compensation: Estimated range: USD 5,000–8,000 per month, depending on location, experience, scope of responsibilities, and performance expectations for a full-time schedule. About the Role This role supports day-to-day operational, content, research, data,...

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Birmingham

Machine Learning Apprentice (Remote)

Job Title: Data Entry Executive (Remote) Employment Type: Remote (Part-Time/Contract) Location: Remote within one of the following countries: United States, United Kingdom, Canada, Ireland, Australia, or New Zealand. Compensation: Estimated range: USD 5,000–8,000 per month, depending on location, experience, scope of responsibilities, and performance expectations for a full-time schedule. About the Role This role supports day-to-day operational, content, research, data,...

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Leeds
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Career Advice

Advance your ML career with expert advice, practical job search tips, and insightful industry guides.

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Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

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Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

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