Engineering Jobs and Recruitment Solutions
ML and AI Jobs That Move Beyond the Hype
Artificial intelligence has crossed the line from experiment to infrastructure. Models now sit inside clinical systems, financial platforms, logistics engines and customer products. When they fail, the impact is real.
MRJ works with engineering teams building production-grade AI, not slide decks and prototypes. We recruit machine learning engineers, applied AI engineers and platform specialists who know how to move models from notebooks into reliable systems that can be monitored, governed and trusted.
If you’re looking for AI jobs in Manchester or beyond, or machine learning roles where the data is meaningful, the problems are complex and the engineering standards are high, this is where those conversations start.
What ‘AI Experience’ Actually Means in 2026 Job Ads: The No BS Guide
The Reality Behind Today’s AI Jobs and AI Hiring
The Gap Between Ambition and Reality
Everyone wants to be “AI-first”. Far fewer teams are ready to operate AI responsibly at scale.
Job specs promise ownership and impact, but often hide messy data foundations, fragile pipelines, and unclear accountability once models hit production. Titles blur together. Expectations drift mid-process. Engineers are asked to move fast without the guardrails that sustain speed.
Common friction we see in AI recruitment:
- Roles labelled as “ML Engineer” that are actually analytics-heavy
- Production accountability without tooling, monitoring or governance
- Tool-driven hiring instead of problem-driven engineering
- Pressure to ship AI without clarity on risk, bias or compliance
Increasingly, organisations are realising that AI success depends less on clever models and more on engineering discipline. Data quality, platform maturity, security, observability, and ethical controls now matter as much as accuracy.
For employers, this means redefining what good AI engineer and ML engineer jobs really look like. For candidates, it means being more selective about which AI roles offer long-term impact and credibility. This gap between ambition and execution is why effective AI recruitment requires deep engineering understanding and why getting it right creates such long-term value.
AI and Machine Learning Engineer Jobs We Fill
AI careers are shaped by the systems you own and the decisions you’re trusted to make, not just the models you train.
As a specialist AI recruitment agency, we support AI enginners, ML engineers and hiring teams across the full lifecycle of intelligent systems, from early experimentation to large-scale platform maturity.
Applied AI and Machine Learning Roles
- Machine Learning Engineer
- Applied AI Engineer
- Data Scientist
- Research Engineer
- NLP and Computer Vision Engineer
Platforms, MLOps and Reliability Roles
- MLOps Engineer
- AI Platform Engineer
- ML Infrastructure Engineer
- Model Reliability Engineer
- Cloud ML Engineer
Data Foundations and Intelligence Roles
- Analytics Engineer
- Data Platform Engineer
- Feature Engineering Specialist
- Data Governance Lead
Leadership and Strategy Roles
- Principal Machine Learning Engineer
- Head of AI
- AI Architect
- Responsible AI Lead
- Machine Learning Manager
Ready to start your AI job search?
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Results That Speak for Themselves
Read More of Our Success StoriesIn the last year or so we’ve hired over 20 technical roles – developers, QAs, Tech Ops– and also a Senior Director of Development and Director of IT Operations through Rekiel and his team at MRJ and have been delighted with the extent to which they’ve learned about us as a company, found candidates who fit into our ethos and work environment (and, importantly, budget!) and worked with us to fill some really challenging roles often on short notice.
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Expert perspectives on hiring, careers, and technology
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The Minds Behind the Mission
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FAQ's
What types of AI and ML jobs does MRJ recruit for?
MRJ recruits across a broad range of AI and machine learning jobs, including AI jobs in Manchester, while also supporting teams across the UK and the US. This spans applied machine learning, data science, MLOps, AI platform engineering, and senior AI leadership. As engineering recruitment specialists, we focus on production-grade roles including machine learning engineer jobs and AI engineer jobs shaped by a team’s data maturity, platform architecture, and delivery environment.
Why are AI engineer and ML engineer jobs growing so quickly?
Demand for AI engineer and ML engineer jobs is accelerating as organisations move from experimentation to production AI. MRJ helps teams assess data maturity, platform readiness, and delivery goals to define the right role before hiring.
How does MRJ ensure technical quality in AI job shortlists?
MRJ screens candidates for real production experience, system ownership and engineering depth, not just tool exposure. This ensures AI jobs are filled by engineers who can deploy, monitor and operate systems in production.
Does MRJ support senior and leadership AI jobs?
Absolutely. MRJ supports senior and leadership AI jobs across machine learning engineer, data scientist and analytics engineer roles, as well as dedicated leadership positions such as head of AI jobs, working with high-impact engineering and data teams.
How can I find AI jobs that match my engineering style and values?
MRJ focuses on role clarity, engineering culture, and long-term development, helping engineers find AI jobs aligned with how they prefer to build, ship, and own systems. This ensures better fit, credibility, and long-term career growth.
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